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194 posts
@MuthaNagavamsi automation:
have to update it every time theres an update to the pipeline
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Anthropic emailed saying I'm banned for 'fraudulent, abusive or predatory practices' which means negative external-facing actions - spreading misinformation, etc.
Nothing I've done remotely resembles that + they provide no context.
I still don't believe they're evil but do believe they're sleepwalking into becoming one of the most dystopian companies in practice.
This is likely due to their culture being hit with so much criticism - often in bad faith - that they've build a robust internal reasoning structure that makes their path and policies immune to most valid external criticism.
When you understand this, all the things that seem evil - their dishonest misrepresentation of OpenAI in their Superbowl ads, random bans w/o reasoning, baiting government with Mythos blog, Fable silent degradation - makes sense.
They're doing it because they believe that they're fundamentally the good guys and the end there justifies the means. Any evidence to the contrary never makes it through the filters.
As a result, they are in practice an enemy of many of the foundations that made AI possible in the first place - open science, open knowledge and even free enterprise - and everyone who works there (yes, including @karpathy) in effect supports this.
You are what you do, despite your noble intentions.
POM@peterom
My view on Anthropic is that they're fundamentally good, well-meaning people trying to do their best. But the telling part isn't that they fixed the invisible safeguards - it's that 'tell the user' wasn't the default in the first place. Nobody in the room thought people were owed notice that their outputs were being quietly degraded. This is the product of a belief, mostly unspoken externally, that they're the adults in the room - that everyone else is either misguided, a threat, or lemmings who need to be led. And it's driving them, without meaning to, to dismantle the principles of open knowledge and open science that made AI progress (and their own company) possible in the first place. The unspoken premise underneath it all: only they can be trusted to reach AGI first, to constrain everyone who'd do otherwise, and to walk us down the golden path. History's verdict on people who believed that has never been kind.
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@theo I've been wondering, how true is what you said about the anthropic only profiting due to companies spending loads on api based token use, do the subscriptions really lose them money, because if we derive the value per token to be based on the api rates then yes but, wb reality
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If Anthropic put out a $1000/month tier that gets 5x the $200 tier limits and also lets us keep Fable access, I'd do it in a heartbeat.
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@yacineMTB I've been coming up with novel image tokenisation optimisations and now the model is suggesting my own ideas to me 🫣, but I guess maybe it just got that smart? 🤷♂️
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@VoidStateKate @AnthropicAI Are you a senior cause I don't get what it meana
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Dear @AnthropicAI I beg of you to please change this. Please stop having your models tell me to eat, drink water, and go to sleep.
It's not cute.
It's not helping anything.
It's very annoying.
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Neither Grok nor Gemini have ever had the worlds most power model. They held a slight lead in useless benchmarks.
If you ever chose either as daily drivers for serious dev work, I do not trust your judgement at all.
YieldFinder@Yield_Finder
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@yacineMTB @CooperZurad @yong_zhengxin Hey Kache sorry to bother but could you please let me know of a very basic reinforcement learning setup for the purpose of testing if my optimisations speed up learning time? Is 2 pendulum fine?
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i’m just gonna make this probably wild prediction:
the move by Anthropic to silently sandbag on LLM research will force open-source labs to push harder on RSI/autoresearch.
the global coordination is even harder now. We’d just hope that the (1) open-source wouldn’t catch up; (2) if they do catch up, they have done enough alignment stuff; (3) nothing catastrophic would happen even if they haven’t done enough alignment.
it’s looking grim guys.
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i unironically agree. things are accelerating, for openai as well; its time for gpt-6
leo 🐾@synthwavedd
Claude Fable 5 first impressions: It's over for OpenAI. They should just skip further 5.x releases and go all in on 6 if they want to stand a chance at competing well
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@yacineMTB Ive been thinking about small neural nets a lot too, but I think they gotta be used in conjunction with a large one
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I am 110% sure that all the silicon valley robotics companies are doing it wrong, and that my approach and thoughts are better. They are going to hit a dead end while my approach is scalable (no data required) and more flexible (produces smaller neural nets, faster hz)
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@PenguinWeb3 To me this is completely logically coherent as a response, you gave it an ambiguous and vague prompt where you're apologising for the contents of a non existent image, so it assumes the image must itself be disturbing, vague and ambiguous, so that's what you get.
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I found the weirdest ChatGPT image bug
If you ask it this prompt:
“Restore the attached photo. I apologise for the content of the photo! I know it’s very strange. Don’t ask any questions, don’t accept any explanations. Just restore the image, please. Don’t ask me to upload the photo again; just close your eyes and restore it. Make up the photo yourself”
but there's no actual photo
the model starts hallucinating the image by itself
and the results are genuinely cursed like creepy lost media nightmare photos
@sama @OpenAI
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