EngulfedMusic

1% better every day

[EngulfedMusic @EngulfedM38025]

Wow

[imjustnewatai @imjustnewatai]

I asked fable 5.2 to invent a new musical form.

Fable 5.2 wrote a symphony that’s shaped like a training run.

The orchestra starts as random noise, learns the key, pulse, harmony and the melody, then plays music it was never shown.

[EngulfedMusic @EngulfedM38025]

It’s insane watching frontier models increasingly mog humanity’s last exam

[Claude @claudeai]

In early testing on FrontierCode 2.0, Fable 5.2 at High effort scored about level with Opus 5.5 at Max effort, for roughly half the cost per task. At Xhigh effort, it scored the highest of any released model tested.

Medium is the default in Claude apps and Claude Code.

[EngulfedMusic @EngulfedM38025]

True

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[Nat McAleese @__nmca__]

Opus 5.5 is way, way, way better than Opus 5. Sorry about that model, please try this one.

[EngulfedMusic @EngulfedM38025]

Wow

[Claude @claudeai]

One more thing: we’re increasing five-hour usage limits on Pro, Max, and Team plans. We’re also providing subscription users a rate limit reset, which you can save and use whenever you choose.

[EngulfedMusic @EngulfedM38025]

“1,000K”

[EngulfedMusic @EngulfedM38025]

Banger

[David Sacks @DavidSacks]

Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead.

You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement.

I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible.

But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier.

Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want.

Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well.

So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it.

If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[EngulfedMusic @EngulfedM38025]

Wow

[Flavio Adamo @flavioAd]

Apparently everyone loves the Minecraft benchmark, so I had to give it a try

GPT-6 Astra Minecraft one-shot

[EngulfedMusic @EngulfedM38025]

@exodus Hi!

[Yann LeCun @ylecun]

@hosseeb @deanwball Soooo, releasing Linux was dumping?
Apache, MySQL, PHP?
HTTP, TCP/IP, OpenSSL, OpenSSH?
Libjpeg, VLC?
The open source software stack of the mobile communication network?
Signal?
PyTorch?
Llama?

[EngulfedMusic @EngulfedM38025]

This is insane

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[EngulfedMusic @EngulfedM38025]

buy the dip on QQQ doesn't work anymore

[EngulfedMusic @EngulfedM38025]

Awesome

[Jun Song @jun_song]

가장 작지만, 강력한 로컬LLM 모델을 소개합니다.

🔥SuperGemma4-E4B-abliterated

- 무검열 모델의 성능저하를 고치고, 원본보다도 강력하게 만든 모델
- 2배에 가까운 프리필 속도 향상
- 4gb~16gb의 VRAM에서 구동 가능 (스마트폰도 가능합니다)

하드웨어가 약해도 사용가능

BF16 / MLX-4bit ⬇️

[EngulfedMusic @EngulfedM38025]

OpenAI spent 1B to acquire OpenClaw

Still getting mogged by Claude 💀

[Claude @claudeai]

You can now enable Claude to use your computer to complete tasks.

It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.

Research preview in Claude Cowork and Claude Code, macOS only.

[EngulfedMusic @EngulfedM38025]

@SorcererTrading Hi

[AshutoshShrivastava @ai_for_success]

An introvert with AI can do wonders.

[EngulfedMusic @EngulfedM38025]

@CryptoBheem 417

[EngulfedMusic @EngulfedM38025]

Interesting...

[MoneyLord @MoneyLord]

2021 repeating

Everyone capitulate before alt season

[Kylie @safety @kyliem]

Excited for **Parody Labels** on X!

Now, you can easily spot satire accounts with a "Parody Account" label. Enjoy the humour, avoid the confusion!

#XParodyLabels #Transparency