I read through that and my rule of thumb on those is anyone offering investment 
advice better have 100M in net worth if I'm going to pay any attention to what 
they have to say.  If his AI isn't working to get him 100M it's definitely not 
going to help me.

The fundamental problem with AI though isn't whether you can make it work or 
not.  The fundamental problem is liability.
 
Suppose I can build an AI program that has a 99.9% success rate at driving a 
vehicle.   It has crashes/accidents at the rate of .01% which is far better 
than 99% of humans out there who drive cars.

Note that the very paper you quoted talks about safety protocols in AI to 
REDUCE the chance of problems.  Not eliminate them.  So already, that paper is 
assuming that any AI system is going to have an error rate.

You can argue that more lives would be saved if the government passed laws that 
required every driver to stop driving and substitute my AI.  And it would 
absolutely reduce accidents and save lives.  That can be proven.

But what you CANNOT do is find a car company that would build a car with that 
AI under that kind of legal system because if drivers are required by law to 
give control over to an AI then liability for the .01 accidents that DO happen 
is going to fall on the car company.  And with the number of cars out there and 
mileage driven by them .01 would be billions of dollars in payouts a year to 
cover AI errors.

Uber got it's hands burned by the Elaine Herzberg accident and sold off it's AI 
vehicle control division.  They learned what I had been posting on car forums 
for years before anyone started testing AI controlled vehicles - there WILL be 
accidents.

You are also NEVER going to find a car buyer who will buy a car that requires 
them to give up control over the vehicle - yet makes them personally liable for 
any accidents (errors) that the AI has with that vehicle.

So AI for vehicle control is dead.

And by extension if you think about it, because of that same problem, AI 
control of anything else having to do with health and human safety is also 
dead.   Forget an AI controlled surgeon for example.  Or an AI controlled 
electrical grid, or nuclear reactor or anything else.

This is why we don't have AI controlled jet planes.  Even though they have 
autopilots they still require a human's butt to warm a chair in the cockpit.  
Because of liability.

You may be able to sell an AI controlled weapon since weapons by definition 
have no liability.  For now.  There is a huge movement to make gun makers 
liable, though.

But the more you think about this the more you realize the inherent problems in 
AI.   You put an AI in charge of customer service for let's say a cellular 
phone company and you WILL see a rise in complaints, tarnished reputation of 
that company, and decreased sales as a result.  The business owner is 
eventually going to see the AI as a liability and jettison it.

I've been involved in high tech for years now and every few years there is 
ALWAYS some new technology that everyone in high tech thinks is going to 
fundamentally change things.   AI is just the latest one in a long list of 
these.

The ONLY new tech I've ever seen in my life that did fundamentally change 
things is communications tech advancements like the Internet, cell phone 
texting, and so on.   The new tech that lasts and becomes dominant is ALWAYS 
tech that facilitates human-to-human communication.  Bet on that and you will 
never lose.  This very mailing list is proof of that.

Ted

-----Original Message-----
From: PLUG <[email protected]> On Behalf Of John Sechrest
Sent: Wednesday, March 29, 2023 10:23 PM
To: Portland Linux/Unix Group <[email protected]>
Subject: Re: [PLUG] Google Bard - entry level sys-admin, learning fast?

Let me suggest that much of our understanding of reasoning is not in the boxes 
that we think it is in.

Let me point you to this paper:
https://yoheinakajima.com/task-driven-autonomous-agent-utilizing-gpt-4-pinecone-and-langchain-for-diverse-applications/

and let me suggest that you look at what he is doing with http://yohei.me

and his twitter address http://twitter.com/yoheinakajima

A bit shift has happened. We are still in the process of understanding what it 
means.



On Wed, Mar 29, 2023 at 10:05 PM MC_Sequoia <[email protected]>
wrote:

> "Career sys-admins, take note.  You may want to retrain as a career 
> re-trainer; many sys-admins may soon be looking for new careers."
>
> Color me very skeptical. One large blind spot of AI is context and/or 
> situational understanding.
>
> A few examples.
>
> The AI that made a digital stick person fall on it's face then stand 
> up on its head and fall over again then repeat as the fastest way for 
> the person to get from point A to Point B.
>
> The AI security camera that was defeated by a group of Marines who 
> snuck up on it by posing as a cardboard box, bush, trashcan or just by 
> doing somersaults and not moving like a normal human being would.
>
> If I had a nickel for every time some newbie blew something up, 
> whether they be a sys-admin, developer, engineer, etc who didn't 
> understand the codebase, the problem, the network, the work flow, the use 
> case, etc.
>
> There are many ways to solve any given computer problem and usually we 
> humans have preferences in terms of efficiency, cost, elegance, 
> simplicity, service disruption, time, etc.
>
> To me, that is the mark of intelligence. It's not just solving a given 
> problem but solving it in a way that takes many of those into account 
> and/or in order of priority and/or preference.
>
> I mean, has any problem posted on the PLUG list ever been solved 
> without a fairly robust discussion regarding taking at least a few 
> things into consideration?
>
>
>
>
>
>
>
>

--
--
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*JOHN SECHREST*
*Founder, *Seattle Angel Conference
TEL  (541) 250-0844    EMAIL  [email protected]
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