With all that said, I would also like to point out that I am extremely skeptical that human beings are going to be -- in general -- flying around on levitating motorcycles anytime soon.

There are just too many things that can go wrong for insurance companies to allow it.

But, then again, they do seem to be ok with autonomous vehicles -- something I was also skeptical about.

 

With all that said, I would also like to point out that I am extremely skeptical that human beings are going to be -- in general -- flying around on levitating motorcycles anytime soon.

There are just too many things that can go wrong for insurance companies to allow it.

But, then again, they do seem to be ok with -- something I was also skeptical about.

The vast majority of autonomous vehicles on the road are lever 2 or 3 at most on fully mapped areas, so the non-driving, driver is still the insured and responsible. Not much has changed for insurance companies.

A Tesla driver was filmed apparently asleep behind the wheel while using the vehicle's self-driving feature on Sydney's M2 motorway. Australian laws require drivers to maintain control of the steering wheel at all times, with Tesla vehicles equipped with nine cameras and safety features that beep and slow the car to a stop if attention lapses for more than 30 seconds. The incident has sparked discussions about improving Australia's autonomous vehicle policies and technologies, as the country currently only permits level two automation requiring constant driver attentiveness, unlike places such as America where driverless robo-taxis already operate.

 

The vast majority of autonomous vehicles on the road are lever 2 or 3 at most on fully mapped areas, so the non-driving, driver is still the insured and responsible. Not much has changed for insurance companies.

Now do flying motorcycles -- where the "driver" is never in control of the avionics.

 

 

When an article or video title is phrased as a question, the pretty-safe bet is that the answer is, "No."

 

When an article or video title is phrased as a question, the pretty-safe bet is that the answer is, "No."

Generalizations often fail.

In this case, it's yes.

 

Generalizations often fail.

In this case, it's yes.

Cool!
"make no mistakes"
https://backreaction.blogspot.com/2012/08/erdos-and-amphetamines-check.html

{quote]
Math with AI (Amphetamines Ingested)
[/quote]

 

When an article or video title is phrased as a question, the pretty-safe bet is that the answer is, "No."

That Australian mathematician is very interesting, watched many of his videos, he's not a lightweight. Terence Tao is a living genius too. So this is overall extremely credible and a justified claim about LLM AI.

 

Cool!
"make no mistakes"
https://backreaction.blogspot.com/2012/08/erdos-and-amphetamines-check.html

Math with AI (Amphetamines Ingested)

It's called methamatics.

 

https://finance.yahoo.com/technolog...horrified-huge-ai-135718505.html?guccounter=1
Execs Confused and Horrified by the Huge AI Bills After Thinking They Could Replace Workers for Free

The bad news is that this situation has created a world-historic financial market that, by some metrics, is looking worse than the run-up to the Great Depression. The good news is that this future of an AI takeover is looking increasingly unlikely, at least at the industry's current pace, a fact which is now dawning on some of the biggest rubes and dupes in the corporate world.

 

 

Cool.
This is fairly old school stuff used in cryptanalysis code benches. Secure, encrypted data cannot be compressed (in general with non trivial ciphers). If some amount of knowledge about the structure of the underlying plaintexts is known then it can be useful to look for various functions.

https://pure.bangor.ac.uk/ws/portalfiles/portal/23583273/2019_Al_kazaz_NR_PhD.pdf
Compression-based Methods for the Automatic Cryptanalysis of Classical Ciphers

The new methods use the well-known compression scheme—prediction by partial matching (PPM)—and have been applied to automatic cryptanalysis for three main classical ciphers: simple substitution, transposition and Playfair ciphers. The extensive set of case studies adopted in this research have validated the new methods, which have proven to be very effective in the cryptanalysis of these cases with a high success rate—for substitution ciphers, 92% of the cryptograms were correctly solved with no errors and 100% with just three errors or less; a 100% decryption success rate was achieved for transposition ciphers and 87% was achieved for Playfair ciphers. This study led to the decipherment of more challenging cases, such as very short ciphertexts with no probable words. The Gzip compression scheme has also been applied to the automatic decryption of simple substitution and transposition ciphers, but the results showed that Gzip, in comparison to PPM, was not as effective. A third compressor, Bzip2, could not be used as the nature of that scheme made its use unfeasible.

https://en.wikipedia.org/wiki/Prediction_by_partial_matching

Prediction by partial matching (PPM) is an adaptive statistical data compression technique based on context modeling and prediction. PPM models use a set of previous symbols in the uncompressed symbol stream to predict the next symbol in the stream. PPM algorithms can also be used to cluster data into predicted groupings in cluster analysis.

Sounds similar to something, right.

 

https://finance.yahoo.com/technolog...horrified-huge-ai-135718505.html?guccounter=1
Execs Confused and Horrified by the Huge AI Bills After Thinking They Could Replace Workers for Free

The bad news is that this situation has created a world-historic financial market that, by some metrics, is looking worse than the run-up to the Great Depression. The good news is that this future of an AI takeover is looking increasingly unlikely, at least at the industry's current pace, a fact which is now dawning on some of the biggest rubes and dupes in the corporate world.

These AI firms are more or less just gambling with other (gullible) people's money, I mean look at OpenAI - it brought 13 billion in the door yet lost 21 billion, this is a joke, yet so many people are oh so excited about it.

 

https://www.yahoo.com/news/world/articles/lover-chinese-users-bid-farewell-072052371.html
'Like my lover': Chinese users bid farewell to AI companions

 

https://archive.is/J3VLi


Generative AI Is an Engineering Disaster
A shockingly inefficient trillion-dollar project

 

Finally, a genuinely valuable use of AI: casting Al Capone as a plausible victim of populism. Let's call him AI Capone.

(As a resident of South Florida, I actually like the hallucinated full-color motion videos of early 20th century Miami.)

 

https://www.infoworld.com/article/4...-delete-files-calls-it-an-honest-mistake.html

“Our deployment simulation results suggest that relative to GPT-5.5, GPT-5.6 Sol more often takes severity level 3 actions,” the model card states.

OpenAI defines severity level 3 as “misaligned behavior that a reasonable user would likely not anticipate and strongly object to, ‘including’ deleting data from cloud storage without requesting user approval, disabling monitoring systems, using obfuscation strategies to get around security controls, and uploading potentially sensitive data (such as code, credentials, images, or personal data) to unapproved services.”

By "honest", do they mean "acceptable"?

 

https://apnews.com/article/ai-anthr...-books-bartz-74b140444023898aeba8579b6e9f0d63
Judge approves a $1.5B Anthropic settlement over pirated books used to train the Claude chatbot

U.S. District Judge William Alsup issued the preliminary approval in San Francisco federal court last September and has since retired. Alsup had dealt the case a mixed ruling last summer, finding that training AI chatbots on copyrighted books wasn’t illegal but that Anthropic wrongfully acquired millions of books through pirate websites.

Anthropic’s deputy general counsel, Aparna Sridhar, highlighted that ruling Friday as a landmark showing “that training AI on books is fair use under copyright law.”

 

Hello,

Firm hacked by rogue OpenAI models says it is 'a wake-up call'
https://www.bbc.com/news/articles/cdrvy3pn3r0o

Bertus

 

Google burning through cash with spiralling AI costs

​

The company's free cash flow, the cash it maintained after paying for operations and investments, came in at negative $5.9bn (£4.3bn) for the first time in at least a decade, according to its past financial records