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Anthropic’s paper smells like bullshit

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Re: Anthropic’s paper smells like bullshit

#281

Post by duxup »

ndiddy wrote: post #101
jmkni wrote: post #58

That whole article felt like "Claude is so good Chinese hackers are using it for espionage" marketing fluff tbh

Reminds me of how when the Playstation 2 came out, Sony started planting articles about how it was so powerful that the Iraqi government was buying thousands of them to turn into a supercomputer (including unnamed military officials bringing up Sony marketing points). https://www.wnd.com/2000/12/7640/

I remember when Sony doing video game related presentations couldn't help but have some marketing about how soon the Playstation 2 processor would be everywhere, your TV, your refrigerator.

At the time I was thinking "Why would my fridge need a pricey expensive processor?"

Many years later I still don't need that.

Re: Anthropic’s paper smells like bullshit

#282

Post by weird-eye-issue »

thunderfork wrote: post #199
weird-eye-issue wrote: post #182

Earlier quoted context omitted.

> The hot mess that is Claude Code And yet it's one of the fastest growing products of all time and is currently the state of the art for AI coding assistants. Yeah it's not perfect but nothing is

"I doubt they have good security chops because they make bad technical choices" "What bad technical choices?" "These ones" "Ok but they're fast-growing, so..." Does being a fast-growing product mean you have security chops or is this a total non-sequitur?

They brought up some performance related edge case that I've never even run into even with extremely heavy usage including building my own agent that wraps around CC and runs several sessions in parallel... So yeah I failed to see the relevance

Re: Anthropic’s paper smells like bullshit

#283

Post by ulfw »

tim333 wrote: post #271
y-curious wrote: post #130

Earlier quoted context omitted.

I don’t know anything about him, but if he is running a department at Meta, he as at the very least a political genius and a teenage data labeller

I was just watching the Y Combinator interview with Alexandr Wang who I guess may be being referred to https://youtu.be/5noIKN8t69U The teenage data labeler thing was a bit of an exaggeration. He did found scale.ai at nineteen which does data labeling amongst other things.

What other things?

Re: Anthropic’s paper smells like bullshit

#284

Post by gpi »

antonvs wrote: post #187
y-curious wrote: post #130

Earlier quoted context omitted.

I don’t know anything about him, but if he is running a department at Meta, he as at the very least a political genius and a teenage data labeller

Presumably this is all referring to Alexander Wang, who's 28 now. The data-labeling company he co-founded, Scale AI, was acquired by Meta at a valuation of nearly $30 billion. But I suppose the criticism is that he doesn't have deep AI model research credentials. Which raises the age-old question of how much technical expertise is really needed in executive management.

Alexandr

Re: Anthropic’s paper smells like bullshit

#285

Post by yahoozoo »

stogot wrote: post #73
padolsey wrote: post #26

> PoC || GTFO I agree so much with this. And am so sick of AI labs, who genuinely do have access to some really great engineers, putting stuff out that just doesn't pass the smell test. GPT-5's system card was pathetic. Big-talk of Microsoft doing red-teaming in ill-specified ways, entirely unreproducable. All the labs are "pro-research" but they again-and-again release whitepapers and pump headlines without producin…

Microsoft’s quantum lab also made ridiculous claims this year, with no updates or retractions after they were mocked by the community and some even claimed fraud https://www.theregister.com/2025/03/12/microsoft_majorana_qu... https://www.windowscentral.com/microsoft/microsoft-dismisses...

Since these were earlier this year in March, they’re just memory holing it?

Re: Anthropic’s paper smells like bullshit

#286

Post by tw1984 »

dangoodmanUT wrote: post #161
tw1984 wrote: post #129

Dario Amodei, the CEO of Anthropic, openly lied to the public back in March that AI would be writing 90% of the code by Sept. It is Nov now. He obviously doesn't even know the stuff he is working on. How would anyone take him seriously for stuff like security which he doesn't know anything about?

> openly lied He made a prediction from a reasonably informed vantage point

if he didn't intentionally mislead the public, he should have be open about it and acknowledge the fact that he was utterly wrong.

given the fact that he made such "prediction" largely to secure funding for his company, he should probably make compensations to his investors. he didn't do anything.

the best he could do is to bad mouth competitors who choose to release open weight models on par with his.

Re: Anthropic’s paper smells like bullshit

#287

Post by yahoozoo »

cbg0 wrote: post #48
neuroelectron wrote: post #18

So Claude will reject 9 out of 10 prompts I give it and lecture me about safety, but somehow it was used for something genuinely malicious? Someone make this make sense.

I've never had a prompt rejected by Claude. What kind of prompts are you sending where "9 out of 10" get rejected?

If you ask it to help you write a bot/cheat for a video game it will usually refuse due to breaking the games terms of service, etc.

Re: Anthropic’s paper smells like bullshit

#288

Post by fsiefken »

trollbridge wrote: post #216

Did anyone else find that Anthropic's report felt a bit like an ad? "Look at how powerful our stuff is; if the bad guys get it, they can do really bad things!" Sort of like firearm ads that show scary bad guys with scary looking weapons.

that was the point of the blog post by djnnvx, what is meant or added with the comment?

Re: Anthropic’s paper smells like bullshit

#290

Post by lp251 »

KaiserPro wrote: post #239
antonvs wrote: post #187

Earlier quoted context omitted.

Presumably this is all referring to Alexander Wang, who's 28 now. The data-labeling company he co-founded, Scale AI, was acquired by Meta at a valuation of nearly $30 billion. But I suppose the criticism is that he doesn't have deep AI model research credentials. Which raises the age-old question of how much technical expertise is really needed in executive management.

> how much technical expertise is really needed in executive management. For running an AI lab? a lot. Put it this way, part of the reason that Meta has squandered its lead is because it decided to fill it's genAI dept (pre wang) with non-ML people. Now thats fine, if they had decent product design and clear road map as to the products they want to release. but no, they are just learning ML as they go, coming up with…

why did they move to fblearner

what is the new training platform

I must know

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