That's pretty insignificant. Does anyone really wanna eat 2.5lbs of beef every day for the usual dose of 5g?

Claude Cowork still can't persistently reference a local dir, broken ever since they moved to their cloud project system, breaking many non-technical people's workflows.

https://grapheneos.social/@GrapheneOS/117282080803799576

> Google should not be gatekeeping security patches to the standard Android platform code from Android OEMs but that's what they've started doing.

> The brief cited an internal memo dated January 2023 by Microsoft director of Applied Science Brent Hecht, where he allegedly said, “Millions of people around the world will soon consider large models ‘hoovering up’ all their work to be an astonishing theft of unprecedented proportions” and also called it “the largest theft of labor in human history.”

No need to add religion into this. Let MS employees write their emails. If anything, what he said a month after ChatGPT's release was prophetic.

I say this as literally the first HN comment to call them out on this.

Virtually everyone has AI slop in the commit history. No one's judging you for the commit history. Everyone's code smells, but the fact that you're ashamed/hiding it is... odd.

> there's a lot of personal info

You should know that force pushing doesn't hide actual commits; it's trivially viewable if someone just iterates https://github.com/bendlang/bend/activity?ref=main e.g. https://github.com/bendlang/bend/commit/d184863 so like... why bother.

...did they just squash the repo to 1 commit for v2.0.4? Why? Yall should know that in this age of AI trust is the real currency... and nuking your history is one hell of a way to raise eyebrows.

> Enjoy bug-free, fast vibe-coded apps! Hints: ask it to write laws for whatever should never break, and to parallelize everything you want running fast. Bend is young: if anything goes wrong, ask it to open an issue.

Emphasis mine. I don't want to be snarky but like... come on.

    ; Arm64
    --- .NET 10
    +++ .NET 11
    @@ -13,8 +13,6 @@
                ble     G_M000_IG04

    G_M000_IG03:
    -            cmp     w1, w2
    -            bhs     G_M000_IG05
                str     wzr, [x0, w1, UXTW #2]

    G_M000_IG04:
    @@ -25,4 +23,4 @@
                bl      CORINFO_HELP_RNGCHKFAIL
                brk     #0

    -; Total bytes of code 68
    +; Total bytes of code 60

I, too, tire of the constant YOU WROTE THIS WITH LLMs outrage. An incredible engineer dumped an ENORMOUS amount of technical knowledge at your feet, and you're commenting on the smell? Is that all you have to contribute?

I saw this too on the Ryan Carniato/SolidJS 2.0 announcement post. A world-class engineer makes a great blog post, and all the comments can focus on are the LLM-smells. Oh well. Any reason not to learn, I guess.

I'm willing to be wrong, but I'm just not seeing anything worth doomering over. There are multiple companies throwing AI at materials discovery; a research paper about a "data-driven framework" is about as unthreatening to my thesis as it gets. I'm willing to cede the point if say, Radical releases ~3 new materials that have commercial applicability and ~3x some useful metric e.g. tensile strength, but until then, to my amateur eye, it looks like AI+Real World is missing its ChatGPT moment.

Gonna note that biology is even less grindable than ordinary chemistry/physics/engineering. We'll have advancements in other real-world fields before AI-powered bioengineering becomes A Thing.

> AI with real-world competence is coming very soon

Disagree, Moravec's Paradox remains undefeated. How long has Elon promised self-driving cars? Or how long have we been seeing humanoid-robot-walking demos? Laundry folding demos?

Let's assume that a magical AI powered robot hand lands tomorrow. How long do you think it'll take to ramp up assembly/production/distribution/sourcing/materials/QA for, say, a million of them? Never mind the legal/integration/maintenance time.

And even once those have landed, and assuming they are ALL put to work on iterating on research testing to build out super-high-capacity-drone-batteries, how long do you think it would take for that to evolve into killer-insect-drones? BTW you should know that even though high capacity silicon carbon batteries exist, they haven't supplanted other Li-ion batteries for a host of reasons. A million things stand between a technology working in a lab and surviving the real world.

And during this entire process, the (geo)political/social/legal process will be churning away, changing the societal landscape in which the killer-robots land. Not to mention that mechanistic interpretability is (likely) somewhat grindable. A lab just needs to dump a billion dollars of compute into it after it declares AGI.

I'm unconvinced we get killer insect drones before we crack mech-interp.

And even once we get killer insect drones, they need to somehow have no kill-switch and then literally exterminate everyone on the globe? Can you see why I have a problem with doomers predicting human extinction within the decade?

I'm putting words in your mouth and not replying to precisely what you said, just the general vibe. LMK if I overstepped.

P.S. we do have mass production of AI designed systems today e.g. https://en.wikipedia.org/wiki/Evolved_antenna There's nuance to this whole thing.

> The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt.

https://x.com/hilbertspaess/status/2097476203863224394

> The dynamics are plausible

Please elaborate: what dynamics? This is rather vague. My point is that AI can't grind real world physics/chemistry/engineering. What dynamics are in play here?

> There are swarms of insect-sized drones that can poison human infantry before they are even noticed; flocks of bird-sized drones to hunt the insects; new ICBM interceptors, and new, harder-to-intercept ICBMs. The rest of the world watches the buildup in horror, but it seems to have a momentum of its own.

Does anyone really predict insect drones _in production_ 3 years from now, to the degree that we need bird drones to hunt the insect drones? How the hell are these things powered?

Lean/math/millenienium prizes are "grindable" [0]. Wake me up when AI is making order-of-magnitude improvements in ungrindable real world tasks like batteries, hypersonic engine manufacturing, and stealth/silent motors that you can't hear.

[0]: https://www.dwarkesh.com/p/the-next-paradigm

I retract the projectnash citation; I grabbed it from the Cool World's youtube description, thinking it was a blog version of the video. It was not. I suggest watching the video instead.

3. ctrl-f "x.com" in this thread only yields https://x.com/sama/status/2097385167002415140 https://x.com/SebastienBubeck/status/2097379411691516310 https://x.com/OpenAI/status/2097375276384567642

and frankly, I'm unwilling to give Elon any more traffic to dig up drama that ultimately doesn't matter. I'm not seeing anything especially childish, but y'know... I'm not sure I care.

Separately, I disagree that intellectual work has ever been free of "dark forest"-style secrecy. Scientists everywhere have worried about being scooped; AI just magnifies that (as all tools have; e.g. Leeuwenhoek lenses).

And thirdly, if you want to make a stronger case for "I feel even less confident in them as a team to be shepherding this much capital and compute", you should give citations and arguments. From what I've seen, there's drama, it's much OpenAI trying to avoid scooping, and Tristan being stuck in a game of telephone, and Levent being incommunicado.

If you have a better analysis, you should say so instead of being vague.