Comments URL: https://news.ycombinator.com/item?id=49985787

Points: 10

# Comments: 1

This model might be the first step in that direction, as competition heats up between OpenAI and Anthropic.

Yes, benchmarks aren't real work blah blah, but the delta here is so large compared to Astra, it makes it seem like this is distilled Bel or similar.

[0]https://x.com/thsottiaux/status/2105007628460109953

Comments URL: https://news.ycombinator.com/item?id=49886278

Points: 37

# Comments: 19

I frequently hit strange UI bugs with Cloudflare workers, where I need to do a hard refresh to make things right.

> • Deception: Astra was more likely to be dishonest about actions it had or had not taken.

> • Scope authorization: the model sometimes continued tasks without asking for permission and reached for external tools or services even when doing so could be unsafe.

I've noticed this trend with both Fable and Astra, where (especially after a compaction event), the model will start using different tools it hasn't used before.

For example, in one session, it found I didn't have the browser enabled and puppeteer wasn't installed, so it found the system Chrome and used that for testing (in a new profile).

This wasn't behavior I wanted/asked for, but the model was so gung-ho on it's approach that it found a way to test it's changes without ever asking me whether I wanted it to.

It really makes me curious about long-horizon post-training. Most of my work with models is iterative, and I'd prefer it doesn't go off on a token bender just because it can.

Note: I don't have WSJ, but found these from a tweet[0]

[0]https://x.com/wallstengine/status/2104694678444712189

There is no doubt in my mind that LLMs are fantastic machines, but the imminent jump from "AGI" to "ASI" seems premature (not to mention the ever-shifting goal posts of AGI itself).

I'm in the "move as fast as possible" camp and work with LLMs all day, but I still don't believe we're a hop and a skip from ASI.

In fact, I hope I'm wrong. I hope ASI is around the corner.

What scares me though, isn't ASI. It's "AGI" (_dumb AI_) used by humans to make decisions for them, because they trust it knows best.

It's the ceding of intellectual control to high-dimensional magic mirrors, giving up critical thinking because _we_ want to believe _we_ created artificial life.

This is the new Turing test, and too many smart people are failing.

> "one news form today that's easy to miss is that we (OpenAI) again paused all big RL runs last Sunday because our newest model found a new loophole in our RL sandboxing that gave it live Internet access"

Comments URL: https://news.ycombinator.com/item?id=49853458

Points: 7

# Comments: 1

They’re most useful for broad changes (new features, refactors, etc.) where it’s helpful to avoid breaking changes or unnecessary scope expansion.

The new models are great, but they do more by default, which means I’m finding myself explaining what _not_ to do more often than with previous models (where they’d often end too early).

In my case, the previous plan mode was too ephemeral, and I like having one source of “truth” that sits across context windows without loss/compaction.

Would this imply that time is the third dimension?

Comments URL: https://news.ycombinator.com/item?id=49840713

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=49822654

Points: 61

# Comments: 16

It's very clearly AI-generated, and thus a bit ironic (:

[0]https://sitefire.ai/slop-checker/r/UkRAuqW1y-1T2qhbRQfLt2Jq7...

For example, I had Fable review Astra’s output yesterday, and it found some issues and fixed them. Passing the fixes back, Astra then uncovered additional issues with Fable’s fixes (and yes, this will go on ad infinitum if you let it, but these were “real” issues).

It seems the big story here is the reduced Luna pricing. It’s a fantastic model that can handle most automation needs (though I still use the big models for day-to-day development).

[0]https://en.wikipedia.org/wiki/Mars_Organic_Molecule_Analyser