mattstir

Are they likely to be feeling generous and improve usage limits? I think it's easy to see what they're hoping to achieve with this.

Getting this in Canada lol, did the site die?

I doubt there is any legal issues with it, but Cloudflare probably reserves the right to completely block your IP forever if they catch you doing it (by for example updating Turnstile to fingerprint this publicly accessible solver library)

Yes, there would be crowds of angry people, furious that Apple... released a critical security patch? Framing removing compromised certs as "changing peoples systems deeply" seems intentionally in bad faith.

Besides singling out a single bug from a single distro two decades ago, Linux offers maintainers who actually care to push security fixes within a few hours of globe-spanning vulnerabilities being disclosed? Not sure how that's confusing or controversial.

It's wild to see people supporting this bizarre anti-security response. Not only are they dragging their feet in fixing the security issue, they're actively reverting any manual fixes silently with each new update. That's legitimately worse than doing nothing at all! It's also disconcerting to see folks advocate for the "let's wait to fix this critical security issue because we want to make it slightly easier in the future" approach, as if Apple is incapable of deleting ~12 lines from a file as part of the normal patch release? If they can revert your manual fixes, they obviously ship that file and so could have shipped a fix with that file. Genuinely disturbing to support any of this.

This is such a fun project! It seems that the model is a bit confused about $_, which I find pretty interesting:

  simedw@laptop:~$ pwd
  /home/simedw
  simedw@laptop:~$ mkdir -p foo/bar/baz
  simedw@laptop:~$ cd $_  
  cd foo  
  simedw@laptop:~/foo$ cd baz
  simedw@laptop:~/foo/bar$ pwd  
  /home/simedw/foo/bar
  simedw@laptop:~/foo/bar$ cd baz 
  simedw@laptop:~/foo/bar/baz$

But then an attacker marks their malicious release as a critical security update. It's really messy unfortunately.

Not to get sidetracked, and not to argue against anything you've said, but how do you figure that out? For people you disagree with, do you open their profile's comments and start keyword-searching "russia" "china" "moscow" etc in hopes of finding a hit? They mentioned that city once in Jan 2024, halfway down the page and in passing. I'm just curious about how others use this site.

A use case I have in mind is creating a relatively simple home assistant app that would let me control smart home things like lightbulbs and playing music on some kitchen speakers. I can also imagine having it differentiate between commands like "set lights to 30% brightness" and more general questions like "what's the weather today" and piping the latter over to a cheap LLM to handle. It could probably all be handled by an LLM, but I like how fast these decision models end up being.

Frontier LLMs that Google doesn't control are existential threats to Google's business model. If no one is using Google search or browsing websites themselves because they're asking LLMs, Google doesn't make ad revenue. Gemini at least has a path to monetization for Google (subscriptions, ads baked into responses).

The statement appears to be referencing Astra's supposed recurrent depth and how that causes reduced visibility into chain-of-thought reasoning. Astra's own system card describes tests where it's asked to solve challenging math problems while internally thinking about something entirely unrelated, which it's significantly more capable of than previous models (~60% vs ~16% of the time for Sol). That seems to point to reduced efficacy of chain-of-thought monitoring, but OpenAI's public statements basically boil down to "yeah but we haven't been able to catch it doing that" which isn't exactly reassuring if CoT monitoring is one of your main safety guardrails.

A concern with these LLM-driven rewrites is that the Rust code isn't really idiomatic, it ends up being C++ code in a trench coat (raw pointers everywhere, manual validation of thousands of unsafe blocks). So far every publicized rewrite I'm aware of has had an "oh and we'll definitely spend the thousands of hours needed to fundamentally rework the code to properly utilize lifetimes later" admission tacked on at the end. Has there been progress in improving that aspect during the LLM phase of the rewrite? If so that would be an incredible win for the industry!

> I'm not sure what this means for AI startups if their innovations can be copied by OSS so quickly

This particular "innovative" concept already has a rich, open research background. What Jev appears to have done is scale that up a bit and isolate good training data, which results in a great product but not really something impossible to imitate. The only major difference currently is that the open source decision models need to be fine-tuned as they're not trained off of the entire internet yet.

Part of the implication is that factories that could be producing consumer-facing DRAM like DDR5 would be retooled to produce HBM instead, leading to even less total consumer RAM production.