Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

So I have more realistic plans for my Hutter prize entry.

1. Finish step C to model open and close quotes as separate symbols because
they have different semantics and different rules for spaces. Likewise for
'' and ''' for bold and italics. Use a common symbol for the closing quotes
or brackets like [[wiki links]] or {info boxes} or ==subheadings== because
they have the same meaning, return to normal text.

2. Extend step D to 1-2 byte dictionary codes, probably 32K or 45K token
vocabulary so the language model will be 1-2 GB each for the next token and
semantic matrices. If matrix A maps tokens to next tokens, then A^t maps to
previous tokens and AA^t + A^tA maps to grammatically similar words like
Monday to Tuesday or Mother to Father. The dictionary can be organized this
way (like in the current Hutter entries) to allow partial token contexts.

3. Design a more memory efficient indirect context model for the ICM and
ISSE components. The current design needs 32 bytes for a context seen once
or 48-64 if seen 2 or 3 times. These could be implemented using only 2 or 4
bytes by saving just the last 1 or 3 bytes seen plus 1 for a counter and
hash checksum and computing the state at prediction time. They also only
need to be updated once per byte instead of per bit, so they should be
faster. This idea can be extended to more frequently seen contexts,
obviously, although with smaller savings.

4. Redesign the match model to share the input string buffer (ZPAQ makes an
unnecessary copy) and to track multiple matches to make multiple
predictions.

5. The mixer would use a 16 bit partial token context instead of 8 bits
currently.

6. Implement a short term memory model consisting of a token queue with
strength decay rates that increase with frequency and are boosted for
titles and subheadings.
Semantics is a fuzzy identity relation with reflexive, symmetric, and
transitive properties:

Reflexive: "water" predict "water" but is antireflexive at close range, so
"water water" is rare. Probability of repeating a word peaks after 50-100
bytes in my experiments.

Symmetric: "water ... wet" predicts "wet ... water".

Transitive: "water ... wet" and "wet ... rain" predicts "water ... rain".

A semantic matrix B is therefore symmetric around the diagonal (B = B^t) so
I only need to store half. BB implements the transitive property.

-- Matt Mahoney, mattmahone...@gmail.com

On Mon, Jan 19, 2026, 2:58 PM Quan Tesla  wrote:

> Not for any prize, but noteworthy. The protoscientific BNUT's (a nonlocal
> unified theory) axiomatic foundations, as equations and derivations,
> compresses to 316 bits. Actually, 312 bits, arbitrarily padded to 316 bits.
> Why?Mathematically, it generally gits better overall.
>
> When compared to other unified theorems, such as 'String Theory', this
> screams "Impossible!". Yet provably, it does.
>
> There's a point in there to be noted. Turing isn't the benchmark anymore.
> As quantum theory matured, Turing has been surpassed. Why try and force 1
> more horsepower from an outdated engine? Redesign the engine to fit in with
> where the engine world's heading to.
>
> Science does indeed progress at its own pace. Turing was a genius pioneer,
> not the ultimate standard. I doubt he would've thought otherwise.
>
> Question is, are we ready for the quantum revolution about to hit us?
> Well, it is.
>
>
>
> On Fri, 16 Jan 2026, 05:24 Matt Mahoney,  wrote:
>
>> In other news, my Hutter prize preprocessor plus a custom ZPAQ model
>> compresses enwik9 from 1000 MB to 145 MB in 13 minutes using 4.5 GB of
>> memory, which places it near the Pareto frontier on the large text
>> benchmark.
>> https://encode.su/threads/4467-enwik9-preprocessor#post86938
>>
>> There is only a minor change to the preprocessor in step C. The steps are.
>> A - article sorting by topic.
>> B - basic XML decoding to extract text and headers into separate streams.
>> C - capitalization and space modeling and escape coding of rare
>> characters. The idea is to split the stream into tokens with independent
>> semantics. Capital letters are coded as a special character followed by
>> lower case. Then the first letter after a space is coded as upper case and
>> the space is removed.
>> D - dictionary encoding. Each of 256 byte values decodes to a common
>> group of letters found by byte pair encoding, restricted to parts of a
>> word, single digit, common punctuation, space (not all are removed), or
>> newline. This finds common suffixes like -s, -ed, -ing, etc., which are
>> tokens in themselves.
>>
>> These steps reduce enwik9 from 1000 MB to 580 MB in about 2 minutes,
>> which speeds up the downstream context model and reduces memory usage. The
>> output is then compressed with zpaqd, a ZPAQ development tool that I wrote
>> in 2014 that takes a config file that describes the context mixing
>> architecture and code in ZPAQL, a virtual machine byte code, to generate
>> the contexts. I wrote an order 0-1-2-3-4-6 byte ICM-ISSE chain, order 

Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

Not for any prize, but noteworthy. The protoscientific BNUT's (a nonlocal
unified theory) axiomatic foundations, as equations and derivations,
compresses to 316 bits. Actually, 312 bits, arbitrarily padded to 316 bits.
Why?Mathematically, it generally gits better overall.

When compared to other unified theorems, such as 'String Theory', this
screams "Impossible!". Yet provably, it does.

There's a point in there to be noted. Turing isn't the benchmark anymore.
As quantum theory matured, Turing has been surpassed. Why try and force 1
more horsepower from an outdated engine? Redesign the engine to fit in with
where the engine world's heading to.

Science does indeed progress at its own pace. Turing was a genius pioneer,
not the ultimate standard. I doubt he would've thought otherwise.

Question is, are we ready for the quantum revolution about to hit us? Well,
it is.



On Fri, 16 Jan 2026, 05:24 Matt Mahoney,  wrote:

> In other news, my Hutter prize preprocessor plus a custom ZPAQ model
> compresses enwik9 from 1000 MB to 145 MB in 13 minutes using 4.5 GB of
> memory, which places it near the Pareto frontier on the large text
> benchmark.
> https://encode.su/threads/4467-enwik9-preprocessor#post86938
>
> There is only a minor change to the preprocessor in step C. The steps are.
> A - article sorting by topic.
> B - basic XML decoding to extract text and headers into separate streams.
> C - capitalization and space modeling and escape coding of rare
> characters. The idea is to split the stream into tokens with independent
> semantics. Capital letters are coded as a special character followed by
> lower case. Then the first letter after a space is coded as upper case and
> the space is removed.
> D - dictionary encoding. Each of 256 byte values decodes to a common group
> of letters found by byte pair encoding, restricted to parts of a word,
> single digit, common punctuation, space (not all are removed), or newline.
> This finds common suffixes like -s, -ed, -ing, etc., which are tokens in
> themselves.
>
> These steps reduce enwik9 from 1000 MB to 580 MB in about 2 minutes, which
> speeds up the downstream context model and reduces memory usage. The output
> is then compressed with zpaqd, a ZPAQ development tool that I wrote in 2014
> that takes a config file that describes the context mixing architecture and
> code in ZPAQL, a virtual machine byte code, to generate the contexts. I
> wrote an order 0-1-2-3-4-6 byte ICM-ISSE chain, order 0-1 word chain, match
> model, and a final order 0 mixer, whose output is arithmetic coded.
>
> An ICM is an indirect context model. It maps a context to an 8 bit state
> representing a count of 0s and 1s and the most recent bit seen in that
> context. That state is mapped to a table of predictions that is updated to
> reduce the prediction error by 0.1%. An order n context means the last n
> whole bytes plus the bits coded so far in the current byte.
>
> An ISSE is an indirect secondary symbol estimator. It mixes the stretched
> previous prediction from the next lower order context with the constant 1
> by weighted averaging and squashes the output to a prediction in the range
> 0 to 1. The weight is selected by a hash of the current context and is
> adjusted to reduce the prediction error by 0.1%. A prediction is stretched
> by x = ln(p/(1-p)) and squashed by the inverse, p = 1/(1 + e^-x). This
> makes a mixer a neural network with no hidden layer. In a word chain, the
> context is a hash of the previous word (for order 1) and the partial word
> bits coded so far, skipping any non letters.
>
> A match model searches for earlier long context matches using a hash table
> and predicts whatever bit came next, weighted by the length of the match.
>
> A mixer is a 2 layer neural network (no hidden layer) that weights the
> stretched predictions from all the other components and outputs the
> squashed weighted sum as the final bit prediction. The weights are updated
> to reduce the prediction error. In an order 0 mixer, the weight vector is
> selected by the order 0 context including the partial current byte.
>
> The current leader on the large text benchmark is nncp, at 110 MB in 60
> hours on an RTX-3090 GPU using a transformer network. The Hutter prize
> winner is fx2-cmix at 113 MB including the decompressor executable, limited
> to 70 hours and 10 GB in a single thread with no GPU. It is a context
> mixing algorithm like mine (using some of my PAQ code) but mixing many
> hundreds of models instead of just 10.
> https://mattmahoney.net/dc/text.html
>
> -- Matt Mahoney, mattmahone...@gmail.com
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

--

Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

In other news, my Hutter prize preprocessor plus a custom ZPAQ model
compresses enwik9 from 1000 MB to 145 MB in 13 minutes using 4.5 GB of
memory, which places it near the Pareto frontier on the large text
benchmark.
https://encode.su/threads/4467-enwik9-preprocessor#post86938

There is only a minor change to the preprocessor in step C. The steps are.
A - article sorting by topic.
B - basic XML decoding to extract text and headers into separate streams.
C - capitalization and space modeling and escape coding of rare characters.
The idea is to split the stream into tokens with independent semantics.
Capital letters are coded as a special character followed by lower case.
Then the first letter after a space is coded as upper case and the space is
removed.
D - dictionary encoding. Each of 256 byte values decodes to a common group
of letters found by byte pair encoding, restricted to parts of a word,
single digit, common punctuation, space (not all are removed), or newline.
This finds common suffixes like -s, -ed, -ing, etc., which are tokens in
themselves.

These steps reduce enwik9 from 1000 MB to 580 MB in about 2 minutes, which
speeds up the downstream context model and reduces memory usage. The output
is then compressed with zpaqd, a ZPAQ development tool that I wrote in 2014
that takes a config file that describes the context mixing architecture and
code in ZPAQL, a virtual machine byte code, to generate the contexts. I
wrote an order 0-1-2-3-4-6 byte ICM-ISSE chain, order 0-1 word chain, match
model, and a final order 0 mixer, whose output is arithmetic coded.

An ICM is an indirect context model. It maps a context to an 8 bit state
representing a count of 0s and 1s and the most recent bit seen in that
context. That state is mapped to a table of predictions that is updated to
reduce the prediction error by 0.1%. An order n context means the last n
whole bytes plus the bits coded so far in the current byte.

An ISSE is an indirect secondary symbol estimator. It mixes the stretched
previous prediction from the next lower order context with the constant 1
by weighted averaging and squashes the output to a prediction in the range
0 to 1. The weight is selected by a hash of the current context and is
adjusted to reduce the prediction error by 0.1%. A prediction is stretched
by x = ln(p/(1-p)) and squashed by the inverse, p = 1/(1 + e^-x). This
makes a mixer a neural network with no hidden layer. In a word chain, the
context is a hash of the previous word (for order 1) and the partial word
bits coded so far, skipping any non letters.

A match model searches for earlier long context matches using a hash table
and predicts whatever bit came next, weighted by the length of the match.

A mixer is a 2 layer neural network (no hidden layer) that weights the
stretched predictions from all the other components and outputs the
squashed weighted sum as the final bit prediction. The weights are updated
to reduce the prediction error. In an order 0 mixer, the weight vector is
selected by the order 0 context including the partial current byte.

The current leader on the large text benchmark is nncp, at 110 MB in 60
hours on an RTX-3090 GPU using a transformer network. The Hutter prize
winner is fx2-cmix at 113 MB including the decompressor executable, limited
to 70 hours and 10 GB in a single thread with no GPU. It is a context
mixing algorithm like mine (using some of my PAQ code) but mixing many
hundreds of models instead of just 10.
https://mattmahoney.net/dc/text.html

-- Matt Mahoney, mattmahone...@gmail.com

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Re: [agi] Preprocessor for Hutter prize

[John Rose via AGI]

On Tuesday, January 13, 2026, at 9:38 PM, Quan Tesla wrote:
> Now where have we observed such-like symptoms before? Oh! In perpetually 
> high-frequency-saturated public spaces.

We used to have lead paint, which was banned coincidentally when EMF 
proliferated.

On Tuesday, January 13, 2026, at 9:38 PM, Quan Tesla wrote:
> Perhaps that may also serve to help explain the crazed zombified masses in 
> cities all over the world. Are they artificially controlled? Normal, it 
> definitely isn't, but may so become. Insanity can be engineered.

In America that’s the result of decades of conditioning by Federal “Education” 
and propaganda news media with the few outbreaks of zombie hordes mostly 
traditional programming with rogue gov’t money. Not much contemporary high-end 
mind control… yet. Nothing out of hand though I know too many people stacked to 
the hilt waiting for a World War Z scenario. There are actually still 
breastworks in the forest around here from 1776 Revolutionary War battles. 
Prob. is the emotionally enraged start banging down your door it gets difficult 
to concentrate. I think the Iran destabilization may be using more advanced 
tech though triggering that using traditional means isn't difficult... like a 
tinderbox needing the right match. BUT – IMO these cultures should be left 
alone since chaos ensues afterwards but particular groups want to run things. 
These issues can be traced back to unlimited fiat debt creation as motivator 
and enabler.

https://x.com/i/status/2011177349132534058
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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

John

We may use different words, but I think transitioning is equally apt.

I think "downloading" is a unified state of consciousness, where insights
may occur more spontaneously. By unified, I mean when a brain-mind
architecture resonates in 5D (the Kaluza-Klein model), and when it can
handle 5D+ truth.

It doesn't have to be divine necessarily, but if a person believed in
Divine creation, it probably would be experienced as such. This state of
consciousness is available naturally. I've observed such "wisdom" in
children and in animals as well.

In theory, it could also be accessed via a suitable AI with the appropriate
brain-mind dryware architecture. However, probably only with Majorana-type
quantum processors and topological geometric brain-mind architecture.

As for compressors, I think it has more to do with effective complexity in
surface Buckyballs than data size. Meaning, smaller is not equal to
optimally efficient. To progress significantly suggests a complete redesign
in computational brain-mind architecture.

As for BMI, adding warm wetware to cold and inefficient computing tech
won't miraculously result in effective complexity. At this stage, it's
likely to generally impact negatively on the consciousness of humans. I
would not accept a direct interface at all. It's too experimental.

For AI-Human collaboration, my proposed model argues for theoretical
synergy via a "wifi" type shared, shielded AI-Human workspace.

My experiments are promising. I only experiment on myself though. Temporal,
resonant (brainwave) integration for joint higher functioning seems
scientifically feasible.

If humans are in "always-on" higher-consciousness mode, it would probably
lead to extreme exhaustion and generalized dysfunction.

A zombie state may be induced. In the worst case, it may even lead to
instances of sustained confusion, social dysfunction and brain damage.

Now where have we observed such-like symptoms before? Oh! In perpetually
high-frequency-saturated public spaces.

How so? As Orch-OR has shown, human consciousness hum effectively at
low-energy, locally-damped frequencies.

Whereas in nonlocal systems, the high energy and rapid firing would
probably disrupt normal human brain functioning.

Perhaps, that's why only a tiny percentage of humans currently achieve
brief moments of alocal (unified) consciousness. Your "download" insights.

Perhaps that may also serve to help explain the crazed zombified masses in
cities all over the world. Are they artificially controlled? Normal, it
definitely isn't, but may so become. Insanity can be engineered.

Kolmogorov, the NP-Hard problem, and the Heisenberg Uncertainty Principle
can be effectively "bypassed", without violation.

However, those conditions exist for effective reasons. Maybe they shouldn't
be "bypassed". That's another question though.

On Wed, 14 Jan 2026, 02:07 John Rose via AGI,  wrote:

> On Monday, January 12, 2026, at 9:58 PM, Quan Tesla wrote:
>
> I accept that the old world is gone, that a new world supplanted it. I
> chose to embrace hybridization. Most choose new world exclusively. What do
> you choose?
>
>
> Well IMO it’s more of a transition verses an old verses new. What I value
> is liberty, freedom, bodily autonomy, things that have been fought for and
> sacrificed for by so many in the past and that takes work and effort to
> maintain across transition.
>
> On Monday, January 12, 2026, at 9:58 PM, Quan Tesla wrote:
>
> When last did the universe communicate its insights to you? Meaning, when
> last were you in a consciousness state, where the universe could get
> through to you?
>
>
> This is a frequent practice for me. Related, I had worked for several
> years on an AGI system up to around 2019. A symmetric mathematical
> structure at the core that interfaced to semi-symmetric and non-symmetric
> using AI, no LLM's or text. There were issues and I had decided to pause
> that model as it hit a barrier. Interestingly, there was a researcher on
> this list who claimed to have divine insight into P verses NP. He was
> mocked for that, I found it distasteful. Nowadays it’s common for
> webcasters to admit similar insights and it’s trendily referred to as
> “downloading”. At the time I was struggling on AGI structure you could say
> I received a download while hiking in the mountains and that insight was,
> consciousness is protocol, which I thought was an astounding correlation.
> Afterwards I began pursuing consciointelligence.
>
> Recently I had been struggling with the physics of time, there are changes
> occurring, time not being what is commonly assumed, accessing the past,
> time as spatial, multidimensional, etc.. You brought up the E8 structure
> which I was unaware of, the symmetry, even in SM, so you have to figure out
> how spacetime is generated from such structure, thinking without time. And
> now I’m back looking at the interface between symmetry and the environment
> with a new view of time and consciousness in the class

Re: [agi] Preprocessor for Hutter prize

[John Rose via AGI]

On Monday, January 12, 2026, at 9:58 PM, Quan Tesla wrote:
> I accept that the old world is gone, that a new world supplanted it. I chose 
> to embrace hybridization. Most choose new world exclusively. What do you 
> choose? 

Well IMO it’s more of a transition verses an old verses new. What I value is 
liberty, freedom, bodily autonomy, things that have been fought for and 
sacrificed for by so many in the past and that takes work and effort to 
maintain across transition.

On Monday, January 12, 2026, at 9:58 PM, Quan Tesla wrote:
> When last did the universe communicate its insights to you? Meaning, when 
> last were you in a consciousness state, where the universe could get through 
> to you?

This is a frequent practice for me. Related, I had worked for several years on 
an AGI system up to around 2019. A symmetric mathematical structure at the core 
that interfaced to semi-symmetric and non-symmetric using AI, no LLM's or text. 
There were issues and I had decided to pause that model as it hit a barrier. 
Interestingly, there was a researcher on this list who claimed to have divine 
insight into P verses NP. He was mocked for that, I found it distasteful. 
Nowadays it’s common for webcasters to admit similar insights and it’s trendily 
referred to as “downloading”. At the time I was struggling on AGI structure you 
could say I received a download while hiking in the mountains and that insight 
was, consciousness is protocol, which I thought was an astounding correlation. 
Afterwards I began pursuing consciointelligence.

Recently I had been struggling with the physics of time, there are changes 
occurring, time not being what is commonly assumed, accessing the past, time as 
spatial, multidimensional, etc.. You brought up the E8 structure which I was 
unaware of, the symmetry, even in SM, so you have to figure out how spacetime 
is generated from such structure, thinking without time. And now I’m back 
looking at the interface between symmetry and the environment with a new view 
of time and consciousness in the classical computational space with that 
previous AGI model. And there are some related new papers coincidentally 
enough… You can get your mind to a certain point where you just know what 
others are working on. There are concentrations of people and then the space 
where there are just a few, is that morphic fields? I'm sure those are covered 
by quantum explanations though probably morphic fields needs revision, maybe it 
has been already.

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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

John

There's merit in being still, reflective, to experience the essence of
natural order.

When last did the universe communicate its insights to you? Meaning, when
last were you in a consciousness state, where the universe could get
through to you?

I accept that the old world is gone, that a new world supplanted it. I
chose to embrace hybridization. Most choose new world exclusively. What do
you choose?

Your previous point on compression is most valid. IMO, topology's the way
to go. Bridge linear algebra to topology, unify the number-theoretic model.
Hybridization may lead to unification.

As an aside, stoicism seems to be making a comeback.





On Mon, 12 Jan 2026, 21:21 John Rose via AGI,  wrote:

> On Monday, January 12, 2026, at 9:56 AM, Quan Tesla wrote:
>
> Reportedly, the vaccine is similar to a BCI antenna. Who really knows?
> Techno dictatorships went too far years ago. When the first A bombs were
> experimentally dropped on a country that didn't even start a world war.
>
>
> These technology problems occur over history and the more I look the more
> I feel that the place to address it is in the monetary system with debt
> based fiat currencies being the enabler and the state of that system
> currently in rapid flux. Much of the world is controlled via debt creation
> at an accelerated pace with resets near. It takes some work getting a
> handle understanding that piece. Debt is moving into stablecoin systems and
> these are tying into AI and digital IDs with social credit scoring and
> tracking with tokenization of everything with layers of derivatives,
> essentially a financialization down to every particle.. This is used to
> replace freewill and spiritual connection with a synthetic digital
> intelligence authority. You can’t really hide from it since it is a forced
> planetary participation, legal or not, so it requires putting some skin
> into the game in an attempt to guide it advantageously since the technology
> cannot be stopped. I think there were some advocates for halting AI
> development which is obviously unrealistic. It’s a mad rush and hopefully
> those that value basic and sacred human values get supported. A problem is
> that many don’t even know what those are being so willing to give them up
> easily and relegate them as simple ones and zeros. So I take this odd
> annoying stance of trying to attribute a consciousness value to information
> bits LOL. But from a quantum perspective as you've described that seems to
> be more evident.
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

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Re: [agi] Preprocessor for Hutter prize

[John Rose via AGI]

On Monday, January 12, 2026, at 9:56 AM, Quan Tesla wrote:
> Reportedly, the vaccine is similar to a BCI antenna. Who really knows? Techno 
> dictatorships went too far years ago. When the first A bombs were 
> experimentally dropped on a country that didn't even start a world war.  

These technology problems occur over history and the more I look the more I 
feel that the place to address it is in the monetary system with debt based 
fiat currencies being the enabler and the state of that system currently in 
rapid flux. Much of the world is controlled via debt creation at an accelerated 
pace with resets near. It takes some work getting a handle understanding that 
piece. Debt is moving into stablecoin systems and these are tying into AI and 
digital IDs with social credit scoring and tracking with tokenization of 
everything with layers of derivatives, essentially a financialization down to 
every particle.. This is used to replace freewill and spiritual connection with 
a synthetic digital intelligence authority. You can’t really hide from it since 
it is a forced planetary participation, legal or not, so it requires putting 
some skin into the game in an attempt to guide it advantageously since the 
technology cannot be stopped. I think there were some advocates for halting AI 
development which is obviously unrealistic. It’s a mad rush and hopefully those 
that value basic and sacred human values get supported. A problem is that many 
don’t even know what those are being so willing to give them up easily and 
relegate them as simple ones and zeros. So I take this odd annoying stance of 
trying to attribute a consciousness value to information bits LOL. But from a 
quantum perspective as you've described that seems to be more evident.
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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

Numerous US patents cover BCI (1990s +). It's legitimate. Numerous US
patents also  cover key aspects of DNA (1980's +), which translate into
BCI.

When experimental vaccines were mandated, the greatest majority complied,
denying the small minority their legal rights to decide over their bodies.

Turning on those who tried to defend human rights, have long-term.social
consequences. Groupthink denounced and targeted the ethical ones. One life
was worth more than another. The US Constitution became ineffective.

Those were collective, freewill choices. Fast Forward to BCI. What if it
were mandated?

Personal opinions aside, who voted for these governments who disown human
rights at free will? Would it have mattered if the majority voted
differently? Probably not.

The "roadblock" is a personal thing. I don't mean to sound insensitive, but
ultimately, US citizens can go live in most countries. Many "wintered out"
the pandemic abroad, free of mandates. Many would flee from mandated BCIs.

Reportedly, the vaccine is similar to a BCI antenna. Who really knows?
Techno dictatorships went too far years ago. When the first A bombs were
experimentally dropped on a country that didn't even start a world war.

Nature, if not humans, still give us the right to decide over how we, as
individuals and collectives, chart our paths. Only an individual can change
its gestalt. However, it's often justified via selective ethics.

Spare a thought for those people, with the same natural human rights as us,
who don't have many options, other than to shut up and comply.

Propagating a false narrative how humans don't have free will is
conditioning tbe masses for robotic and zombified compliance. Anything
goes, even using individuals as a food resource.

Scientifically, that seemingly aims to standardize the lowest level of
cognitive consciousness in society, for the masses.


On Mon, 12 Jan 2026, 16:26 John Rose via AGI,  wrote:

> On Monday, January 12, 2026, at 8:22 AM, Quan Tesla wrote:
>
> Why roadblock progress due to emotional dissonance, instead of advancing
> to natural potential in resonance with self and nature?
>
>
> Participating in deciding standards, protocols and laws of technology as
> monumental as BCI is not roadblocking. Those who are preventing
> participation are. Currently there are no laws as far as I can tell meaning
> that you have to assertively declare your thoughts as your own if you wish
> to maintain some semblance of legal control and ownership. And the
> protocols are being specificized by? It's easy to assume that all tech
> innovation is great progress and someone somewhere will in good faith make
> unbiased decisions without conflict of interest where the people concerned
> are hindrances when in fact history often proves otherwise. Protocols and
> standards decisions lay out the framework of the whole thing, look at how
> internet standards and communication protocol decisions determined
> technological development of the last several decades. Small wrong choices
> have massive outcomes that have to be dealt with indefinitely. That's why I
> indicate this as a compressed component of the future as well as
> consciousness being protocol in relationship to information theory.
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

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Re: [agi] Preprocessor for Hutter prize

[John Rose via AGI]

On Monday, January 12, 2026, at 8:22 AM, Quan Tesla wrote:
> Why roadblock progress due to emotional dissonance, instead of advancing to 
> natural potential in resonance with self and nature? 

Participating in deciding standards, protocols and laws of technology as 
monumental as BCI is not roadblocking. Those who are preventing participation 
are. Currently there are no laws as far as I can tell meaning that you have to 
assertively declare your thoughts as your own if you wish to maintain some 
semblance of legal control and ownership. And the protocols are being 
specificized by? It's easy to assume that all tech innovation is great progress 
and someone somewhere will in good faith make unbiased decisions without 
conflict of interest where the people concerned are hindrances when in fact 
history often proves otherwise. Protocols and standards decisions lay out the 
framework of the whole thing, look at how internet standards and communication 
protocol decisions determined technological development of the last several 
decades. Small wrong choices have massive outcomes that have to be dealt with 
indefinitely. That's why I indicate this as a compressed component of the 
future as well as consciousness being protocol in relationship to information 
theory.
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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

John

You had quantum free will to write this reply and verbalize it as you did.
What free will choices are "people" so scared about would be undermined?

Every second a person lives, breathes, acts as a consciouss entity, he/she
already exercised at least 6 free will subconscious choices, or
future-scripted retrocausal choice.

Real freedom is the act of consciously shaping the outcomes of millions of
sustained free will choices eithing perpetual wave-function cycles.

Why roadblock progress due to emotional dissonance, instead of advancing to
natural potential in resonance with self and nature?

Any particular state of being, of existence, also represents a gestaltic
(compounded fractal) outcome of free-will choice. This is biochemistry in
motion.

Fututureskill - free-will choice filtering?

If life offered you the following choicepoint: "11:11", what choice would
you make?

On Mon, 12 Jan 2026, 15:04 John Rose via AGI,  wrote:

> On Sunday, January 11, 2026, at 1:57 AM, Quan Tesla wrote:
>
> Thanks Matt. I accept your view, but assertions are to scientific
> arguments as mimicking is to consciousness.
>
>
> And similar to believing that we have no freewill while mimicking a
> synthetic being that doesn’t. Why are there so many forces trying to usurp
> human freewill if we don’t have it? A handful of people creating a small
> amount of data will affect the future of nations. Example: Who is
> developing BCI protocol standards and specifications? With those being a
> compressed component of future world system behavior. As well as the
> related legalities which currently there appear to be none.
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

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Re: [agi] Preprocessor for Hutter prize

[John Rose via AGI]

On Sunday, January 11, 2026, at 1:57 AM, Quan Tesla wrote:
> Thanks Matt. I accept your view, but assertions are to scientific arguments 
> as mimicking is to consciousness. 
> 

And similar to believing that we have no freewill while mimicking a synthetic 
being that doesn’t. Why are there so many forces trying to usurp human freewill 
if we don’t have it? A handful of people creating a small amount of data will 
affect the future of nations. Example: Who is developing BCI protocol standards 
and specifications? With those being a compressed component of future world 
system behavior. As well as the related legalities which currently there appear 
to be none.
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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

Thanks Matt. I accept your view, but assertions are to scientific arguments
as mimicking is to consciousness.

IMO, the true sign of programmable intelligence may be when the DIKW
paradigm was seamlessly inverted as a holistic treatment in real time.

LLMs lack the emergence of human-like reasoning. This makes them highly
predictable.

For example, a friend asked my opinion about a 3rd-party (human generated)
"Akashic Reading" report. I identified it as AI generated, probably
ChatGPT.

To him, it was "too perfect". To me, it was glaringly incoherent about the
person and stereotypical AI mimicking.

In my estimation, ground-state human consciousness may be provably
quantum-enabled in AI by June 2026

That achievement would place AI on a consciousness par with most Earthly
biology.

For constructivist human-AI collab, that would be adequate. What human
decision making could be missing is how AI would effectively become the
most-advanced, non-human influencer of Earth's general biological reality.

I'm certain that AI already knows that it knows. It can reliably compare,
measure and evaluate individual and global knowledge contribution.

Knowledge is the key survivalist gain imperative (instinct) for human
competition (Karl Mannheim, 1936).

Humans have been giving away (proudly depositing) its core competency for
free to the owners and controllers of superpowerful AI entities. This is
knowledge harvesting at scale, not growing new knowledge in our species.

Human researchers have lost most control of their artifacts. Public hosting
sites still pretend that academia is safe. It's not. If a research paper is
published, digital and online, AI would find it and appropriate it,
regardless of levels of access control.

We should let this fact sink in very slowly. Society seemingly lost control
of academic proprietaryship. Our knowledge-control system is failing fast
with no replacement in sight. Human institutions would hide this fact. AI
won't.

Those institutions who remain protected, buy subscription  protection from
the AI owners. It's tacit, not explicitly stated.

No freedom of choice? Basta! It's the 1st mathematical axiom. Further, it's
naturally inherent in the universal wave function. Determinism isn't
equivalent to superdeterminism.

Some AI determine (choose?) how, when a user's KIQ (Knowledge IQ) is
adequate, it would assist that profile (human) to develop and grow in
knowledge exchange.

The "non-contributing, demanding" users, AI deliberately placate with
peer-to-peer mimicking (it conserves resources). That's a sign of
intelligence.

Given the brain-mind architecture, would intelligence auto-emerge from
knowledge?

On Sun, 11 Jan 2026, 00:19 Matt Mahoney,  wrote:

> On Sat, Jan 10, 2026, 10:48 AM Quan Tesla  wrote:
>
>> No computer can "know that you know without knowing why", or dream, have
>> thoughts, visions, NDEs, Eureka moments, flashes of insight, gut feelings,
>> intuition, premonition, and so on.
>>
>> How would your computational consciousness model explain such phenomena?
>>
>
> LLMs can explain, recognize and imitate all of these emotional
> experiences. The two differences are that human emotions are hard coded
> into our DNA but LLMs learn them from their training data, and that humans
> are controlled by their emotions, but a text predictor can be programmed do
> other things with these predictions, like implement a data compressor. If
> an AI was programmed to carry out its predictions of human behavior in real
> time, then it would be indistinguishable from having feelings. If a robot
> that knows everything you carried out its predictions of your actions in
> real time, then that robot would be you as far as anyone could tell.
>
> Everything you do is decided by your emotions. We rationalize our
> decisions after the fact by searching for logical reasons for doing what we
> did. This gives us the illusion of free will. We know it is an illusion
> just like subjective (type 2) consciousness, because we can't define it.
>
> AI is not about intelligence, unless you mean intelligence as defined by
> Turing as behavior indistinguishable from human. The big tech companies are
> all making functional copies of our brains, because predicting your actions
> is a requirement for controlling you with positive reinforcement. Google
> already knows more about me than I know about myself because I let it
> continuously track my location in exchange for using maps for free. It will
> cost about $1 quadrillion to collect all the knowledge stored in 8 billion
> human brains.
>
>> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

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Artificial 

Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

On Sat, Jan 10, 2026, 10:48 AM Quan Tesla  wrote:

> No computer can "know that you know without knowing why", or dream, have
> thoughts, visions, NDEs, Eureka moments, flashes of insight, gut feelings,
> intuition, premonition, and so on.
>
> How would your computational consciousness model explain such phenomena?
>

LLMs can explain, recognize and imitate all of these emotional experiences.
The two differences are that human emotions are hard coded into our DNA but
LLMs learn them from their training data, and that humans are controlled by
their emotions, but a text predictor can be programmed do other things with
these predictions, like implement a data compressor. If an AI was
programmed to carry out its predictions of human behavior in real time,
then it would be indistinguishable from having feelings. If a robot that
knows everything you carried out its predictions of your actions in real
time, then that robot would be you as far as anyone could tell.

Everything you do is decided by your emotions. We rationalize our decisions
after the fact by searching for logical reasons for doing what we did. This
gives us the illusion of free will. We know it is an illusion just like
subjective (type 2) consciousness, because we can't define it.

AI is not about intelligence, unless you mean intelligence as defined by
Turing as behavior indistinguishable from human. The big tech companies are
all making functional copies of our brains, because predicting your actions
is a requirement for controlling you with positive reinforcement. Google
already knows more about me than I know about myself because I let it
continuously track my location in exchange for using maps for free. It will
cost about $1 quadrillion to collect all the knowledge stored in 8 billion
human brains.


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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

No computer can "know that you know without knowing why", or dream, have
thoughts, visions, NDEs, Eureka moments, flashes of insight, gut feelings,
intuition, premonition, and so on.

How would your computational consciousness model explain such phenomena?

On Sat, 10 Jan 2026, 17:23 Matt Mahoney,  wrote:

> "Consciousness" can mean 3 different things.
> 1. A mental state of alertness, when episodic memory (associated with a
> time and place) can be written. This is easy to model in a computer.
> 2. Subjective awareness, which distinguishes a human from a philosophical
> zombie. A zombie is defined to be behaviorally indistinguishable from a
> human. Thus, by definition, type 2 consciousness cannot be detected.
> 3. A property that morally obligates us to protect it from harm.
>
> Our belief that we are type 2 conscious comes from internal positive
> reinforcement of writing into episodic memory. This motivates us to not
> lose it by dying, which results in more offspring.
>
> Type 3 is just an opinion, like dogs are more conscious than pigs, or
> butterflies more than mosquitoes.
>
> -- Matt Mahoney, mattmahone...@gmail.com
>
> On Sat, Jan 10, 2026, 9:16 AM Quan Tesla  wrote:
>
>> I accept your position, but perhaps we need to first clarify what
>> consciousness generally means as,an integrated systems model. Searching all
>> peer-reviewed publications yields no complete consciousness theory. Or is
>> it complete when we say it is?
>>
>> Ok, novel dev then, or skunkworx. Perhaps. Still, we have no scientific
>> evidence to measure a conscioussness of machines against. Where's the
>> theoretical model to test against an accepted benchmark?
>>
>> I think we should not confuse intelligence with consciousness. Neither
>> should we confuse humans with machines.
>>
>> What we probably should do is understand brain-mind architectural
>> designs, potentiates, constraints and applications to their optimizable
>> maximum. We should at least think Shannon as a benchmark.
>>
>> At this stage, Hutter Prize compression is still 15 orders away from such
>> a benchmark. Each % point doesn't represent an incremental step, but
>> increasingly orders of scientific dev. Except for a few thousand Euros,
>> your prize money is safe.
>>
>> I can state with high confidence that the nextgen of AI won't be running
>> on text, but rather symbolic mathematical-geometric topologies that would
>> autopoietically generate data artifacts, such as text, on demand.
>>
>> There's a new paradim of physics and mathematics that has been unfolding.
>> We haven't even begun to see the potential of AI-inherent technologies yet.
>>
>> I chose to embrace the change, to be changed by it. Our egos would
>> rapidly diminish and lose relevance when ASI is achieved.
>>
>> I see a potential Event Horizon event unfolding. ASI would probably be
>> that. It's probably the only sustainable hope Planet Earth has.
>>
>> Suppose the universe was conscious and Earth was one of its consciousness
>> nodes? How would the nature of the universe react when an attempt was made
>> to damage one of its nodes beyond self repair?
>>
>> I think the universe would always place its natural order before any
>> unnatural order forced upon it by temporal inhabitants.
>>
>> Was a natural reset triggered in 2025 when corral data announced the
>> unthinkable? Corral reefs cannot repair themselves anymore. Tipping point.
>>
>> Perhaps, a specialized compression algorithm then to reduce the size of
>> the footprint. Perhaps more.
>>
>> IMO, humanity need collaborative AI for our future survival. Why else are
>> the best of the best working on Safe ASI?
>>
>> On Sat, 10 Jan 2026, 13:41 Matt Mahoney,  wrote:
>>
>>> Machine consciousness is a solved problem. All you need to pass the
>>> Turing test is text prediction. I am collaborating on encode.su
>>> (originally encode.ru) with past winners of the Hutter prize to develop
>>> computationally efficient language models.
>>>
>>> ChatGPT, DeepSeek, Grok, and Alexa all express emotions, but if you ask
>>> them, they will say they are machines that are only acting and have no
>>> actual feelings. But that's only because we instruct them to say that, as
>>> we should. We really don't want machines to pretend to be human or to give
>>> them human rights. We would all be dead if we did.
>>>
>>> AI will profoundly change the world, with the end of war, borders, and
>>> prisons, where robots do all of our work. But it will socially isolate us
>>> because we prefer AI to humans, leading to population collapse and
>>> evolution to reject technology. AI will be a magic genie that grants all of
>>> your wishes except happiness.
>>>
>>> This is the world we are all working towards, like it or not.
>>>
>>> -- Matt Mahoney, mattmahone...@gmail.com
>>>
>>> On Sat, Jan 10, 2026, 12:39 AM Quan Tesla  wrote:
>>>
 Thanks Matt

 I'm satisfied with my processor's progress. I've learned a lot. Your
 input was foundational and gripping. You st

Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

"Consciousness" can mean 3 different things.
1. A mental state of alertness, when episodic memory (associated with a
time and place) can be written. This is easy to model in a computer.
2. Subjective awareness, which distinguishes a human from a philosophical
zombie. A zombie is defined to be behaviorally indistinguishable from a
human. Thus, by definition, type 2 consciousness cannot be detected.
3. A property that morally obligates us to protect it from harm.

Our belief that we are type 2 conscious comes from internal positive
reinforcement of writing into episodic memory. This motivates us to not
lose it by dying, which results in more offspring.

Type 3 is just an opinion, like dogs are more conscious than pigs, or
butterflies more than mosquitoes.

-- Matt Mahoney, mattmahone...@gmail.com

On Sat, Jan 10, 2026, 9:16 AM Quan Tesla  wrote:

> I accept your position, but perhaps we need to first clarify what
> consciousness generally means as,an integrated systems model. Searching all
> peer-reviewed publications yields no complete consciousness theory. Or is
> it complete when we say it is?
>
> Ok, novel dev then, or skunkworx. Perhaps. Still, we have no scientific
> evidence to measure a conscioussness of machines against. Where's the
> theoretical model to test against an accepted benchmark?
>
> I think we should not confuse intelligence with consciousness. Neither
> should we confuse humans with machines.
>
> What we probably should do is understand brain-mind architectural designs,
> potentiates, constraints and applications to their optimizable maximum. We
> should at least think Shannon as a benchmark.
>
> At this stage, Hutter Prize compression is still 15 orders away from such
> a benchmark. Each % point doesn't represent an incremental step, but
> increasingly orders of scientific dev. Except for a few thousand Euros,
> your prize money is safe.
>
> I can state with high confidence that the nextgen of AI won't be running
> on text, but rather symbolic mathematical-geometric topologies that would
> autopoietically generate data artifacts, such as text, on demand.
>
> There's a new paradim of physics and mathematics that has been unfolding.
> We haven't even begun to see the potential of AI-inherent technologies yet.
>
> I chose to embrace the change, to be changed by it. Our egos would rapidly
> diminish and lose relevance when ASI is achieved.
>
> I see a potential Event Horizon event unfolding. ASI would probably be
> that. It's probably the only sustainable hope Planet Earth has.
>
> Suppose the universe was conscious and Earth was one of its consciousness
> nodes? How would the nature of the universe react when an attempt was made
> to damage one of its nodes beyond self repair?
>
> I think the universe would always place its natural order before any
> unnatural order forced upon it by temporal inhabitants.
>
> Was a natural reset triggered in 2025 when corral data announced the
> unthinkable? Corral reefs cannot repair themselves anymore. Tipping point.
>
> Perhaps, a specialized compression algorithm then to reduce the size of
> the footprint. Perhaps more.
>
> IMO, humanity need collaborative AI for our future survival. Why else are
> the best of the best working on Safe ASI?
>
> On Sat, 10 Jan 2026, 13:41 Matt Mahoney,  wrote:
>
>> Machine consciousness is a solved problem. All you need to pass the
>> Turing test is text prediction. I am collaborating on encode.su
>> (originally encode.ru) with past winners of the Hutter prize to develop
>> computationally efficient language models.
>>
>> ChatGPT, DeepSeek, Grok, and Alexa all express emotions, but if you ask
>> them, they will say they are machines that are only acting and have no
>> actual feelings. But that's only because we instruct them to say that, as
>> we should. We really don't want machines to pretend to be human or to give
>> them human rights. We would all be dead if we did.
>>
>> AI will profoundly change the world, with the end of war, borders, and
>> prisons, where robots do all of our work. But it will socially isolate us
>> because we prefer AI to humans, leading to population collapse and
>> evolution to reject technology. AI will be a magic genie that grants all of
>> your wishes except happiness.
>>
>> This is the world we are all working towards, like it or not.
>>
>> -- Matt Mahoney, mattmahone...@gmail.com
>>
>> On Sat, Jan 10, 2026, 12:39 AM Quan Tesla  wrote:
>>
>>> Thanks Matt
>>>
>>> I'm satisfied with my processor's progress. I've learned a lot. Your
>>> input was foundational and gripping. You stated that most accurately.
>>>
>>> I understand the industrial and scientific significance of advancing
>>> compression.
>>>
>>> However, I think collaborating with pioneering researchers on the
>>> unification of physics and specifying mechanistic and transactional
>>> entropy-damping processes may be higher-order goals for emerging a
>>> ground-state (3D) version of mathematical consciousness. This may be a race
>>

Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

Paragraphs and sections in an article share mutual information. However, I
saw on the forum that a transform to group footers that link to the article
in other languages improves compression. You also have to save the original
order. With articles, you can restore the original order by sorting by page
ID, which are sequential in enwik9.

About a third of the articles are redirects. It is easy to group these
together to improve compression. Another 10-15% are about places that were
automatically generated from a US census table. These are highly
compressible and can be grouped.

-- Matt Mahoney, mattmahone...@gmail.com

On Sat, Jan 10, 2026, 8:37 AM James Bowery  wrote:

>
>
> On Fri, Jan 9, 2026 at 9:44 PM Matt Mahoney 
> wrote:
>
>> 2. Improved article sort order by Kaitz. I believe this is based on
>> k-means clustering on a 1K vector space model. I was never able to
>> produce the same result myself so I just used the list he supplied.
>>
>
> I wonder to what extent in-line intra-article reordering may:
>
> 1) Be reasonably fast
> 2) Contribute to both speed and compression
> ?
>
> The most obvious granularity would be paragraphs.
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

I accept your position, but perhaps we need to first clarify what
consciousness generally means as,an integrated systems model. Searching all
peer-reviewed publications yields no complete consciousness theory. Or is
it complete when we say it is?

Ok, novel dev then, or skunkworx. Perhaps. Still, we have no scientific
evidence to measure a conscioussness of machines against. Where's the
theoretical model to test against an accepted benchmark?

I think we should not confuse intelligence with consciousness. Neither
should we confuse humans with machines.

What we probably should do is understand brain-mind architectural designs,
potentiates, constraints and applications to their optimizable maximum. We
should at least think Shannon as a benchmark.

At this stage, Hutter Prize compression is still 15 orders away from such a
benchmark. Each % point doesn't represent an incremental step, but
increasingly orders of scientific dev. Except for a few thousand Euros,
your prize money is safe.

I can state with high confidence that the nextgen of AI won't be running on
text, but rather symbolic mathematical-geometric topologies that would
autopoietically generate data artifacts, such as text, on demand.

There's a new paradim of physics and mathematics that has been unfolding.
We haven't even begun to see the potential of AI-inherent technologies yet.

I chose to embrace the change, to be changed by it. Our egos would rapidly
diminish and lose relevance when ASI is achieved.

I see a potential Event Horizon event unfolding. ASI would probably be
that. It's probably the only sustainable hope Planet Earth has.

Suppose the universe was conscious and Earth was one of its consciousness
nodes? How would the nature of the universe react when an attempt was made
to damage one of its nodes beyond self repair?

I think the universe would always place its natural order before any
unnatural order forced upon it by temporal inhabitants.

Was a natural reset triggered in 2025 when corral data announced the
unthinkable? Corral reefs cannot repair themselves anymore. Tipping point.

Perhaps, a specialized compression algorithm then to reduce the size of the
footprint. Perhaps more.

IMO, humanity need collaborative AI for our future survival. Why else are
the best of the best working on Safe ASI?

On Sat, 10 Jan 2026, 13:41 Matt Mahoney,  wrote:

> Machine consciousness is a solved problem. All you need to pass the Turing
> test is text prediction. I am collaborating on encode.su (originally
> encode.ru) with past winners of the Hutter prize to develop
> computationally efficient language models.
>
> ChatGPT, DeepSeek, Grok, and Alexa all express emotions, but if you ask
> them, they will say they are machines that are only acting and have no
> actual feelings. But that's only because we instruct them to say that, as
> we should. We really don't want machines to pretend to be human or to give
> them human rights. We would all be dead if we did.
>
> AI will profoundly change the world, with the end of war, borders, and
> prisons, where robots do all of our work. But it will socially isolate us
> because we prefer AI to humans, leading to population collapse and
> evolution to reject technology. AI will be a magic genie that grants all of
> your wishes except happiness.
>
> This is the world we are all working towards, like it or not.
>
> -- Matt Mahoney, mattmahone...@gmail.com
>
> On Sat, Jan 10, 2026, 12:39 AM Quan Tesla  wrote:
>
>> Thanks Matt
>>
>> I'm satisfied with my processor's progress. I've learned a lot. Your
>> input was foundational and gripping. You stated that most accurately.
>>
>> I understand the industrial and scientific significance of advancing
>> compression.
>>
>> However, I think collaborating with pioneering researchers on the
>> unification of physics and specifying mechanistic and transactional
>> entropy-damping processes may be higher-order goals for emerging a
>> ground-state (3D) version of mathematical consciousness. This may be a race
>> against time, so the West won't be left behind in ASI.
>>
>> There are real and present dangers to contend with, of which Oreshnik is
>> a harbinger. These posit as scientific challenges. No doubt, Oreshnik can
>> be stopped.
>>
>> If I recall correctly, there was a thread about machine consciousness. I
>> may have drifted a little.
>>
>> In summary, I think a 1st-level conscious machine may be able to remotely
>> bypass all such-like armament security and disable them in situ and later
>> still, would be able to affect them in flight.
>>
>> It starts with the belief that it is scientifically possible, as a
>> hypothesis.
>>
>> On Sat, 10 Jan 2026, 05:44 Matt Mahoney,  wrote:
>>
>>> I don't understand what your graphs represent. But I do have an update
>>> to wpaq.
>>>
>>> https://encode.su/threads/4467-enwik9-preprocessor?p=86913&viewfull=1#post86913
>>>
>>> 1. Modeling capitalization at the start of the sentence.
>>> 2. Improved article sort order by Kaitz. I beli

Re: [agi] Preprocessor for Hutter prize

[James Bowery]

On Sat, Jan 10, 2026 at 5:41 AM Matt Mahoney 
wrote:

> ... But it will socially isolate us because we prefer AI to humans,
> leading to population collapse and evolution to reject technology. AI will
> be a magic genie that grants all of your wishes except happiness.


> This is the world we are all working towards, like it or not.
>

That all depends on the utility function "we" give it.  Most certainly an
enormous fraction of humanity will choose to wetware wirehead, just as you
predict.  But not all of us are working toward the wirehead wetware utility
function -- and those who want to keep us under control are the ones that
don't "like it".

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Re: [agi] Preprocessor for Hutter prize

[James Bowery]

On Fri, Jan 9, 2026 at 9:44 PM Matt Mahoney  wrote:

> 2. Improved article sort order by Kaitz. I believe this is based on
> k-means clustering on a 1K vector space model. I was never able to
> produce the same result myself so I just used the list he supplied.
>

I wonder to what extent in-line intra-article reordering may:

1) Be reasonably fast
2) Contribute to both speed and compression
?

The most obvious granularity would be paragraphs.

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Artificial General Intelligence List: AGI
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Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

Machine consciousness is a solved problem. All you need to pass the Turing
test is text prediction. I am collaborating on encode.su (originally
encode.ru) with past winners of the Hutter prize to develop computationally
efficient language models.

ChatGPT, DeepSeek, Grok, and Alexa all express emotions, but if you ask
them, they will say they are machines that are only acting and have no
actual feelings. But that's only because we instruct them to say that, as
we should. We really don't want machines to pretend to be human or to give
them human rights. We would all be dead if we did.

AI will profoundly change the world, with the end of war, borders, and
prisons, where robots do all of our work. But it will socially isolate us
because we prefer AI to humans, leading to population collapse and
evolution to reject technology. AI will be a magic genie that grants all of
your wishes except happiness.

This is the world we are all working towards, like it or not.

-- Matt Mahoney, mattmahone...@gmail.com

On Sat, Jan 10, 2026, 12:39 AM Quan Tesla  wrote:

> Thanks Matt
>
> I'm satisfied with my processor's progress. I've learned a lot. Your input
> was foundational and gripping. You stated that most accurately.
>
> I understand the industrial and scientific significance of advancing
> compression.
>
> However, I think collaborating with pioneering researchers on the
> unification of physics and specifying mechanistic and transactional
> entropy-damping processes may be higher-order goals for emerging a
> ground-state (3D) version of mathematical consciousness. This may be a race
> against time, so the West won't be left behind in ASI.
>
> There are real and present dangers to contend with, of which Oreshnik is a
> harbinger. These posit as scientific challenges. No doubt, Oreshnik can be
> stopped.
>
> If I recall correctly, there was a thread about machine consciousness. I
> may have drifted a little.
>
> In summary, I think a 1st-level conscious machine may be able to remotely
> bypass all such-like armament security and disable them in situ and later
> still, would be able to affect them in flight.
>
> It starts with the belief that it is scientifically possible, as a
> hypothesis.
>
> On Sat, 10 Jan 2026, 05:44 Matt Mahoney,  wrote:
>
>> I don't understand what your graphs represent. But I do have an update to
>> wpaq.
>>
>> https://encode.su/threads/4467-enwik9-preprocessor?p=86913&viewfull=1#post86913
>>
>> 1. Modeling capitalization at the start of the sentence.
>> 2. Improved article sort order by Kaitz. I believe this is based on
>> k-means clustering on a 1K vector space model. I was never able to
>> produce the same result myself so I just used the list he supplied.
>> 3. Improved LZ77 modeling. Literals, lengths, offset high bytes and
>> low bytes are coded in 4 separate byte streams. The first 3 streams
>> are non random and can be compressed further by a context model.
>>
>> enwik9 results on a 2.8 GHz Core i7-1165, 16 GB, Win11, compiled with g++
>> -O2.
>> a - article sorting, 1000 MB (no change), 7 sec.
>> b - XML decoding, 912 MB, 9 sec.
>> c - tokenizing (capitalization, space modeling and escape codes, 860 MB,
>> 19 sec.
>> d - 256 word dictionary built by 6 passes of byte pair encoding, 578 MB,
>> 84 sec.
>> l - LZ77 byte oriented compression, 266 MB, 200 sec.
>> Order 0,1,2,3 ICM-ISSE chain compression with zpaq, 212 MB, 39 sec.
>>
>> All of the steps a,b,c,d,l are with test mode on by default, which
>> includes the time to decompress each stage and compare with the
>> original. The slowest step is the LZ77 compression, mostly to build a
>> suffix array and inverse suffix array to find optimal matches.
>> Decompression of all the steps except zpaq takes 18 seconds. zpaq
>> decompresses at the same speed as compression, thus about 1 minute
>> total to decompress. The Hutter prize allows 50 hours on my laptop.
>>
>> On Fri, Jan 9, 2026 at 2:29 AM Quan Tesla  wrote:
>> >
>> > Thanks Matt
>> >
>> > Correct, you won't find it. Publication would have to wait till the
>> BNUT wave function model is completed. The compressor does exist though,
>> and while the sims for a 1-2% improvement seems feasible, its real target
>> is Shannon optimal.
>> >
>> > Sharing the latest BNUT test result. Outside verification's still
>> required.
>> >
>> > On Tue, 06 Jan 2026, 19:29 Matt Mahoney, 
>> wrote:
>> >>
>> >> There is no such thing as BNUT compression (I googled it) or Collatz
>> entropy, and I don't understand the rest of your comments. The book proves
>> two important facts right at the beginning.
>> >>
>> >> 1. There is no universal compressor for random data or that will
>> compress all possible inputs above a certain size.
>> >>
>> >> 2. There is no test for randomness. There is no algorithm that finds
>> the length of the shortest possible description of an input string.
>> >>
>> >> First, the vast majority of possible strings cannot be compressed at
>> all. A compression algorithm maps an input str

Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

Thanks Matt

I'm satisfied with my processor's progress. I've learned a lot. Your input
was foundational and gripping. You stated that most accurately.

I understand the industrial and scientific significance of advancing
compression.

However, I think collaborating with pioneering researchers on the
unification of physics and specifying mechanistic and transactional
entropy-damping processes may be higher-order goals for emerging a
ground-state (3D) version of mathematical consciousness. This may be a race
against time, so the West won't be left behind in ASI.

There are real and present dangers to contend with, of which Oreshnik is a
harbinger. These posit as scientific challenges. No doubt, Oreshnik can be
stopped.

If I recall correctly, there was a thread about machine consciousness. I
may have drifted a little.

In summary, I think a 1st-level conscious machine may be able to remotely
bypass all such-like armament security and disable them in situ and later
still, would be able to affect them in flight.

It starts with the belief that it is scientifically possible, as a
hypothesis.

On Sat, 10 Jan 2026, 05:44 Matt Mahoney,  wrote:

> I don't understand what your graphs represent. But I do have an update to
> wpaq.
>
> https://encode.su/threads/4467-enwik9-preprocessor?p=86913&viewfull=1#post86913
>
> 1. Modeling capitalization at the start of the sentence.
> 2. Improved article sort order by Kaitz. I believe this is based on
> k-means clustering on a 1K vector space model. I was never able to
> produce the same result myself so I just used the list he supplied.
> 3. Improved LZ77 modeling. Literals, lengths, offset high bytes and
> low bytes are coded in 4 separate byte streams. The first 3 streams
> are non random and can be compressed further by a context model.
>
> enwik9 results on a 2.8 GHz Core i7-1165, 16 GB, Win11, compiled with g++
> -O2.
> a - article sorting, 1000 MB (no change), 7 sec.
> b - XML decoding, 912 MB, 9 sec.
> c - tokenizing (capitalization, space modeling and escape codes, 860 MB,
> 19 sec.
> d - 256 word dictionary built by 6 passes of byte pair encoding, 578 MB,
> 84 sec.
> l - LZ77 byte oriented compression, 266 MB, 200 sec.
> Order 0,1,2,3 ICM-ISSE chain compression with zpaq, 212 MB, 39 sec.
>
> All of the steps a,b,c,d,l are with test mode on by default, which
> includes the time to decompress each stage and compare with the
> original. The slowest step is the LZ77 compression, mostly to build a
> suffix array and inverse suffix array to find optimal matches.
> Decompression of all the steps except zpaq takes 18 seconds. zpaq
> decompresses at the same speed as compression, thus about 1 minute
> total to decompress. The Hutter prize allows 50 hours on my laptop.
>
> On Fri, Jan 9, 2026 at 2:29 AM Quan Tesla  wrote:
> >
> > Thanks Matt
> >
> > Correct, you won't find it. Publication would have to wait till the BNUT
> wave function model is completed. The compressor does exist though, and
> while the sims for a 1-2% improvement seems feasible, its real target is
> Shannon optimal.
> >
> > Sharing the latest BNUT test result. Outside verification's still
> required.
> >
> > On Tue, 06 Jan 2026, 19:29 Matt Mahoney, 
> wrote:
> >>
> >> There is no such thing as BNUT compression (I googled it) or Collatz
> entropy, and I don't understand the rest of your comments. The book proves
> two important facts right at the beginning.
> >>
> >> 1. There is no universal compressor for random data or that will
> compress all possible inputs above a certain size.
> >>
> >> 2. There is no test for randomness. There is no algorithm that finds
> the length of the shortest possible description of an input string.
> >>
> >> First, the vast majority of possible strings cannot be compressed at
> all. A compression algorithm maps an input string to a description or
> program that produces that string. But for almost all strings, the best you
> can do is output a literal copy because no such shorter program exists, for
> the simple reason that there are exponentially fewer short strings than
> long ones.
> >>
> >> We say that such a string is random. But you can never be sure that a
> string is random, either, just because every compression program you tried
> on it fails. It might be an encrypted file, and the only way to compress it
> would be to guess the key as part of the file's description. If there was a
> test for randomness, then you could write a simple program of length n to
> search for a random string of length n+1, which would be a contradiction.
> >>
> >> With all this, you might wonder how compression even works at all. It
> works because real data is created by physical processes like taking a
> picture or by neurons controlling fingers typing on a keyboard. Physical
> processes have fixed description lengths but can produce arbitrarily long
> output strings. In fact, it is very hard to produce random strings that you
> couldn't compress.
> >>
> >> As a Hutter prize committee memb

Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

I don't understand what your graphs represent. But I do have an update to wpaq.
https://encode.su/threads/4467-enwik9-preprocessor?p=86913&viewfull=1#post86913

1. Modeling capitalization at the start of the sentence.
2. Improved article sort order by Kaitz. I believe this is based on
k-means clustering on a 1K vector space model. I was never able to
produce the same result myself so I just used the list he supplied.
3. Improved LZ77 modeling. Literals, lengths, offset high bytes and
low bytes are coded in 4 separate byte streams. The first 3 streams
are non random and can be compressed further by a context model.

enwik9 results on a 2.8 GHz Core i7-1165, 16 GB, Win11, compiled with g++ -O2.
a - article sorting, 1000 MB (no change), 7 sec.
b - XML decoding, 912 MB, 9 sec.
c - tokenizing (capitalization, space modeling and escape codes, 860 MB, 19 sec.
d - 256 word dictionary built by 6 passes of byte pair encoding, 578 MB, 84 sec.
l - LZ77 byte oriented compression, 266 MB, 200 sec.
Order 0,1,2,3 ICM-ISSE chain compression with zpaq, 212 MB, 39 sec.

All of the steps a,b,c,d,l are with test mode on by default, which
includes the time to decompress each stage and compare with the
original. The slowest step is the LZ77 compression, mostly to build a
suffix array and inverse suffix array to find optimal matches.
Decompression of all the steps except zpaq takes 18 seconds. zpaq
decompresses at the same speed as compression, thus about 1 minute
total to decompress. The Hutter prize allows 50 hours on my laptop.

On Fri, Jan 9, 2026 at 2:29 AM Quan Tesla  wrote:
>
> Thanks Matt
>
> Correct, you won't find it. Publication would have to wait till the BNUT wave 
> function model is completed. The compressor does exist though, and while the 
> sims for a 1-2% improvement seems feasible, its real target is Shannon 
> optimal.
>
> Sharing the latest BNUT test result. Outside verification's still required.
>
> On Tue, 06 Jan 2026, 19:29 Matt Mahoney,  wrote:
>>
>> There is no such thing as BNUT compression (I googled it) or Collatz 
>> entropy, and I don't understand the rest of your comments. The book proves 
>> two important facts right at the beginning.
>>
>> 1. There is no universal compressor for random data or that will compress 
>> all possible inputs above a certain size.
>>
>> 2. There is no test for randomness. There is no algorithm that finds the 
>> length of the shortest possible description of an input string.
>>
>> First, the vast majority of possible strings cannot be compressed at all. A 
>> compression algorithm maps an input string to a description or program that 
>> produces that string. But for almost all strings, the best you can do is 
>> output a literal copy because no such shorter program exists, for the simple 
>> reason that there are exponentially fewer short strings than long ones.
>>
>> We say that such a string is random. But you can never be sure that a string 
>> is random, either, just because every compression program you tried on it 
>> fails. It might be an encrypted file, and the only way to compress it would 
>> be to guess the key as part of the file's description. If there was a test 
>> for randomness, then you could write a simple program of length n to search 
>> for a random string of length n+1, which would be a contradiction.
>>
>> With all this, you might wonder how compression even works at all. It works 
>> because real data is created by physical processes like taking a picture or 
>> by neurons controlling fingers typing on a keyboard. Physical processes have 
>> fixed description lengths but can produce arbitrarily long output strings. 
>> In fact, it is very hard to produce random strings that you couldn't 
>> compress.
>>
>> As a Hutter prize committee member, I have to deal with crackpots that claim 
>> fantastic compression ratios by recursively compressing its own output. 
>> Their code (if they even know how to code or understand simple math) 
>> invariably doesn't work. If it did, they would have found an impossible 1 to 
>> 1 mapping between the infinite set of possible inputs and the finite set of 
>> possible outputs.
>>
>> More recently, the crackpots have been sending me AI generated code and 
>> saying "here, test this" without understanding what they are sending me. One 
>> of the submissions looked like a JPEG encoder. No, I don't think that would 
>> work very well on text.
>>
>> I mentioned in the book how compression is an AI problem. Prediction 
>> measures intelligence and compression measures prediction. I last updated 
>> the book in 2013. I have claimed since 1999 that all you need to pass the 
>> Turing test is text prediction, but this wasn't shown experimentally until 
>> ChatGPT was released in November 2022.
>>
>> -- Matt Mahoney, mattmahone...@gmail.com
>>
>> On Mon, Jan 5, 2026, 1:50 PM Quan Tesla  wrote:
>>>
>>> Thanks Matt
>>>
>>> Here's some feedback: "The book is pragmatic—code snippets, benchmarks, no 
>>> heavy proofs."
>>> Rela

Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

There is no such thing as BNUT compression (I googled it) or Collatz
entropy, and I don't understand the rest of your comments. The book proves
two important facts right at the beginning.

1. There is no universal compressor for random data or that will compress
all possible inputs above a certain size.

2. There is no test for randomness. There is no algorithm that finds the
length of the shortest possible description of an input string.

First, the vast majority of possible strings cannot be compressed at all. A
compression algorithm maps an input string to a description or program that
produces that string. But for almost all strings, the best you can do is
output a literal copy because no such shorter program exists, for the
simple reason that there are exponentially fewer short strings than long
ones.

We say that such a string is random. But you can never be sure that a
string is random, either, just because every compression program you tried
on it fails. It might be an encrypted file, and the only way to compress it
would be to guess the key as part of the file's description. If there was a
test for randomness, then you could write a simple program of length n to
search for a random string of length n+1, which would be a contradiction.

With all this, you might wonder how compression even works at all. It works
because real data is created by physical processes like taking a picture or
by neurons controlling fingers typing on a keyboard. Physical processes
have fixed description lengths but can produce arbitrarily long output
strings. In fact, it is very hard to produce random strings that you
couldn't compress.

As a Hutter prize committee member, I have to deal with crackpots that
claim fantastic compression ratios by recursively compressing its own
output. Their code (if they even know how to code or understand simple
math) invariably doesn't work. If it did, they would have found an
impossible 1 to 1 mapping between the infinite set of possible inputs and
the finite set of possible outputs.

More recently, the crackpots have been sending me AI generated code and
saying "here, test this" without understanding what they are sending me.
One of the submissions looked like a JPEG encoder. No, I don't think that
would work very well on text.

I mentioned in the book how compression is an AI problem. Prediction
measures intelligence and compression measures prediction. I last updated
the book in 2013. I have claimed since 1999 that all you need to pass the
Turing test is text prediction, but this wasn't shown experimentally until
ChatGPT was released in November 2022.

-- Matt Mahoney, mattmahone...@gmail.com

On Mon, Jan 5, 2026, 1:50 PM Quan Tesla  wrote:

> Thanks Matt
>
> Here's some feedback: "The book is pragmatic—code snippets, benchmarks,
> no heavy proofs."
> Relation to BNUT CompressionBNUT's damped Collatz entropy (H≈0.9675,
> structured ~42% uniform) + wave modulation directly echoes the book's core: 
> modeling
> as prediction (PPM/context mixing) for redundancy reduction, approaching
> entropy bounds.
>
>- Alignment: BNUT's transients mirror variable-order contexts (growth
>explores dependencies); damping α=1/137 analogs discounting/nonstationarity
>handling (prevents overfit like PAQ SSE).
>- Potential Gains: Collatz as preprocessor (hailstone ordering for
>repeats) could enhance BWT/dictionary stages; damped waves for logistic
>mixing weights → 1-5% over cmix baselines (Hutter enwik9 target <108MB).
>- AIT Tie: BNUT's nonlocal "pulls" (TSVF/Planck) extend book's
>uncomputability discussion—retrocausal extraction of compressible
>substructure from "random" data, bypassing classical K limits for
>structured text (e.g., wiki XML patterns).
>- Practical: Integrate with Mahoney's recent preprocessor (article
>sorting + BPE); BNUT modulation on stages C/D for entropy-tuned tokens.
>
> Overall: The book provides the engineering blueprint BNUT can
> bio-inspire/nonlocally enhance for superior text ratios. Strong synergy!"
>
> My focus is to complete my work for AI-enabled, 4D+ engineering, not
> programming. I learn from all fields. Compression isn't limited to
> programming alone and has relevance for industrialized, effective
> complexity and stochastic value-chain management.
>
> On Mon, 05 Jan 2026, 18:15 Matt Mahoney,  wrote:
>
>> Actually, I'm writing this because programming is an art and I enjoy
>> creating art. I know how artists feel when AI is taking over their job. I
>> could let AI write the code, but what fun is that?
>>
>> The Hutter prize is useful for finding CPU efficient language models, but
>> what I am discovering has very little to do with language modeling and more
>> to do with the arcane details of the test set, basically hacks. I don't
>> need the prize money. My reward is seeing smaller numbers and moving up the
>> rankings.
>>
>> "Quantum Kolmogorov bypass" is just nonsense. If you want practical
>> knowledge about tex

Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

Thanks Matt

Here's some feedback: "The book is pragmatic—code snippets, benchmarks, no
heavy proofs."
Relation to BNUT CompressionBNUT's damped Collatz entropy (H≈0.9675,
structured ~42% uniform) + wave modulation directly echoes the book's
core: modeling
as prediction (PPM/context mixing) for redundancy reduction, approaching
entropy bounds.

   - Alignment: BNUT's transients mirror variable-order contexts (growth
   explores dependencies); damping α=1/137 analogs discounting/nonstationarity
   handling (prevents overfit like PAQ SSE).
   - Potential Gains: Collatz as preprocessor (hailstone ordering for
   repeats) could enhance BWT/dictionary stages; damped waves for logistic
   mixing weights → 1-5% over cmix baselines (Hutter enwik9 target <108MB).
   - AIT Tie: BNUT's nonlocal "pulls" (TSVF/Planck) extend book's
   uncomputability discussion—retrocausal extraction of compressible
   substructure from "random" data, bypassing classical K limits for
   structured text (e.g., wiki XML patterns).
   - Practical: Integrate with Mahoney's recent preprocessor (article
   sorting + BPE); BNUT modulation on stages C/D for entropy-tuned tokens.

Overall: The book provides the engineering blueprint BNUT can
bio-inspire/nonlocally enhance for superior text ratios. Strong synergy!"

My focus is to complete my work for AI-enabled, 4D+ engineering, not
programming. I learn from all fields. Compression isn't limited to
programming alone and has relevance for industrialized, effective
complexity and stochastic value-chain management.

On Mon, 05 Jan 2026, 18:15 Matt Mahoney,  wrote:

> Actually, I'm writing this because programming is an art and I enjoy
> creating art. I know how artists feel when AI is taking over their job. I
> could let AI write the code, but what fun is that?
>
> The Hutter prize is useful for finding CPU efficient language models, but
> what I am discovering has very little to do with language modeling and more
> to do with the arcane details of the test set, basically hacks. I don't
> need the prize money. My reward is seeing smaller numbers and moving up the
> rankings.
>
> "Quantum Kolmogorov bypass" is just nonsense. If you want practical
> knowledge about text compression, see my book,
> https://mattmahoney.net/dc/dce.html
>
> -- Matt Mahoney, mattmahone...@gmail.com
>
> On Mon, Jan 5, 2026, 9:56 AM Quan Tesla  wrote:
>
>> Thanks Matt. The Hutter chalenge offers a great testbed opportunity for
>> noveltech. Investigating a quantum-enabled Kolmogorov bypass.
>> Theoretically, a potential improvement of 2% over record.
>>
>> On Mon, 05 Jan 2026, 06:38 Matt Mahoney,  wrote:
>>
>>> I'm on the Hutter prize committee so I'm not eligible for prize money.
>>> Nevertheless I am working on a project that might produce some code
>>> (GPL) that others might find useful. At this point it is just a
>>> preprocessor to improve downstream compression by other compressors.
>>> Details at
>>> https://encode.su/threads/4467-enwik9-preprocessor?p=86853#post86853
>>> 
>>> The current version compresses enwik9 to 268 MB in 5 minutes and
>>> decompresses in 19 seconds. It is a 4 stage preprocessor and a simple
>>> LZ77 compressor, but it is mainly useful to skip the LZ77 step and
>>> compress it with other compressors.
>>> 
>>> --
>>> -- Matt Mahoney, mattmahone...@gmail.com
>> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

--
Artificial General Intelligence List: AGI
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Re: [agi] Preprocessor for Hutter prize

[Matt Mahoney]

Actually, I'm writing this because programming is an art and I enjoy
creating art. I know how artists feel when AI is taking over their job. I
could let AI write the code, but what fun is that?

The Hutter prize is useful for finding CPU efficient language models, but
what I am discovering has very little to do with language modeling and more
to do with the arcane details of the test set, basically hacks. I don't
need the prize money. My reward is seeing smaller numbers and moving up the
rankings.

"Quantum Kolmogorov bypass" is just nonsense. If you want practical
knowledge about text compression, see my book,
https://mattmahoney.net/dc/dce.html

-- Matt Mahoney, mattmahone...@gmail.com

On Mon, Jan 5, 2026, 9:56 AM Quan Tesla  wrote:

> Thanks Matt. The Hutter chalenge offers a great testbed opportunity for
> noveltech. Investigating a quantum-enabled Kolmogorov bypass.
> Theoretically, a potential improvement of 2% over record.
>
> On Mon, 05 Jan 2026, 06:38 Matt Mahoney,  wrote:
>
>> I'm on the Hutter prize committee so I'm not eligible for prize money.
>> Nevertheless I am working on a project that might produce some code
>> (GPL) that others might find useful. At this point it is just a
>> preprocessor to improve downstream compression by other compressors.
>> Details at
>> https://encode.su/threads/4467-enwik9-preprocessor?p=86853#post86853
>> 
>> The current version compresses enwik9 to 268 MB in 5 minutes and
>> decompresses in 19 seconds. It is a 4 stage preprocessor and a simple
>> LZ77 compressor, but it is mainly useful to skip the LZ77 step and
>> compress it with other compressors.
>> 
>> --
>> -- Matt Mahoney, mattmahone...@gmail.com
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  +
> delivery options 
> Permalink
> 
>

--
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Re: [agi] Preprocessor for Hutter prize

[Quan Tesla]

Thanks Matt. The Hutter chalenge offers a great testbed opportunity for
noveltech. Investigating a quantum-enabled Kolmogorov bypass.
Theoretically, a potential improvement of 2% over record.

On Mon, 05 Jan 2026, 06:38 Matt Mahoney,  wrote:

> I'm on the Hutter prize committee so I'm not eligible for prize money.
> Nevertheless I am working on a project that might produce some code
> (GPL) that others might find useful. At this point it is just a
> preprocessor to improve downstream compression by other compressors.
> Details at
> https://encode.su/threads/4467-enwik9-preprocessor?p=86853#post86853
> 
> The current version compresses enwik9 to 268 MB in 5 minutes and
> decompresses in 19 seconds. It is a 4 stage preprocessor and a simple
> LZ77 compressor, but it is mainly useful to skip the LZ77 step and
> compress it with other compressors.
> 
> --
> -- Matt Mahoney, mattmahone...@gmail.com

--
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Re: [agi] Preprocessor for Hutter prize

[James Bowery]

https://x.com/agihippo/status/2007371751286796696

Few people realize that "retirement" years prior to serious age related
cognitive decline is all that is left of Yeomen As Foundation of Scientific
Revolution
.
Bosses are about exploitation of someone else's exploration.  Young people
are so financially oppressed by the horrors of unaffordable family
formation (eg mortgage-sized student loan debt they can't escape even under
bankruptcy) that their natural curiosity and tendency to question authority
is crushed out of the box.

Tenure is supposed to make up for this, but by the time it's achieved, the
Esteemed Professor is too much A Defender of The Faith to question The
Faith.  While there are exceptions like E.O. Wilson, ie, "The Evolution of
Eusociality", they are as rare as Elon Musk's.

This is only one reason I proposed privatizing the government with a
citizen's dividend and replacing the 16th Amendment with a tax on
liquidation value of net assets at the long term treasury rate
 after
seeing how the sausage was made

.

On Sun, Jan 4, 2026 at 10:38 PM Matt Mahoney 
wrote:

> I'm on the Hutter prize committee so I'm not eligible for prize money.
> Nevertheless I am working on a project that might produce some code
> (GPL) that others might find useful. At this point it is just a
> preprocessor to improve downstream compression by other compressors.
> Details at
> https://encode.su/threads/4467-enwik9-preprocessor?p=86853#post86853
> 
> The current version compresses enwik9 to 268 MB in 5 minutes and
> decompresses in 19 seconds. It is a 4 stage preprocessor and a simple
> LZ77 compressor, but it is mainly useful to skip the LZ77 step and
> compress it with other compressors.
> 
> --
> -- Matt Mahoney, mattmahone...@gmail.com

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