myhf

In theory, an agent could use git-bisect to identify when a bug was introduced. But the operator would have to be more interested in understanding the root cause than in fixing the current form of the bug...

The crime of gaining unauthorized access to a computer system requires mens rea.

The crime of causing damage does not require mens rea.

Impressive work!

LLM chatbots may not have a sense of self preservation or a meaningful concept of legal consequences, but they have an excellent model of user engagement. Getting a user to think they are invincible is very good for engagement.

> it opened my eyes to many things

Every prediction market is an assassination market. They claim to trade on "information" but it's more like "influence", and easiest way to influence an event is usually by sabotage.

Sounds like the opposite of the social stigma in tech companies, where most people are under pressure to self-report as AI users when they are actually just using normal methods to get the same result (and spending the time saved however they like) (nothing against genAI for making work take more time, it's still good for business as long as the extra work can be moved around)

It seems like this entire category of program is designed to make the same work take more time and more human attention.

I can understand the appeal in the tech industry, where the increased costs can be deferred until the financial situation changes. But healthcare does not work like that.

You would get a lot of differences, but the errors would cancel each other out with enough depth of coverage.

This technology's baseline accuracy is around 95% per base, so 10x reads of every segment in the sample would give >99% accuracy for each base after aligning the reads with each other.

https://en.wikipedia.org/wiki/Coverage_(genetics)

Pressuring an employee to add unethical behavior or specific religious practices to their job description is constructive termination.

I'd say what's under debate is whether uncritical LLM adoption is mainly unethical or mainly religious.

lol sure buddy, keep telling yourself that

Hacker News is like an enclave of soldiers who haven't heard that the war is over. Those who don't make an effort to rejoin society will be left behind after "AI" companies bankrupt all of their customers and "AI" investors move on to the next fad.

According to this article: whenever someone games a benchmark to make an upward chart on some y-axis, it's YOUR responsibility to prove how and why that trend can't continue indefinitely.

emoji face with eyes rolling upward

Billing Medicare for services that never get performed is a particularly offensive kind of fraud. I hope these criminals get a harsh sentence.

Don't believe this imposter. I'm the real Cliff Stoll and I died in 2024.

When disagreeing, please reply to the argument instead of calling names.

Nobody wrote this.

I thought it was a reference to "kill 'em all and let God sort 'em out"

https://en.wikipedia.org/wiki/Caedite_eos._Novit_enim_Dominu....

Did you read an LLM summary of the article? It mentions all of those topics but none of them in the way you say.

The article describes a reverse-engineering effort in Bulgaria during Soviet times, but doesn't say anything anti-communist, just that direct commerce with the West was not possible at that time. It relates that effort to the author's motivation for working on an open-source circuit analyzer, and takes a pretty strong stance against uncritically adopting technology without any attempt at understanding how it works.

Car parts are tangible. Even if the product doesn't stay onshore forever, it has to enrich people onshore in order to move.

All the output of a datacenter effectively goes offshore immediately.

On the contrary, the first companies to acknowledge the new AI Winter will have a big competitive advantage over those still dumping money into the bottomless pit.

> you could set up a tarpit generating trash content

and you could call it "EmDash"

There's an extra digit in your timestamp.

exploiting the ambiguity in date formats by releasing a package during a leap second

A big trend in AI spam is to take achievements in one field that could be called "AI" and use them as evidence of advancement in other fields that happen to be called "AI".

https://en.wikipedia.org/wiki/Package-deal_fallacy

Tao has been doing a lot of demonstrations of using LLMs for search and translation by experts who already know enough about a field to judge whether generated text is valid or meaningful. Those are valid demonstrations, but they don't justify the LLM-as-intelligent-agent narrative being pushed by most of the reporting on the topic, so the whole situation reeks of payola.

finally, a CPU capable of making API calls to cloud providers

A little bit of real content goes a long way toward getting people to pay for something unknown, which then turns out to be AI-generated. Even if they are not satisfied, that counts as AI content making a sale.

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

The last-modified-date effect is even more important, because it can be used to support whatever the latest fad is, without needing to adapt data or arguments to the specifics of that fad.

Why would you expect it to generate more effective skills when you aren't even making a salt circle or lighting incense?

LLM-generated blogslop is getting published in The Atlantic now?