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Showing 981–1000 of 3684 matching discussions
Anthropic
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An Alien Mind
All this AGI/ alien nonesense trumpeting from these guys (OpenAI, Anthropic, nVidia) makes me think we are drifting even further from stated goal and money is running dry. The interesting question is who is left standing after the party is over.
Anthropic
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An Alien Mind
I think it is simpler, but bannin open weight is a collateral worth scoring nonetheless. AI fails to deliver on the multi trilion usd promises: Gov/venture says: oh, wow, what will we do with all these datacenters, we need money back! OpenAI/ Anthropic: let's monitor the citizenry. They may be plotting nefarious schemes using AI models. Gov: great idea. Whew. Investors: whew! Tax payers: paying to be in prison. So not so much as defense against foreign actors, but failure of the self-tooted AGI goal + gov being gov.
Cohere
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Programming is Art
I think a discussion about programming being an art is incomplete without bringing into scope live coding, where you write code that produces music in front of an audience; Processing, a programming language for artists; and literate programming, where you intertwine prose and code to form a coherent narrative or story. Many people here are talking about programming as a tool you use to solve problems and build systems, but that’s just the subset of programming tasks corporations pay you to do. Programming is for many other things and it can be as expressive or constrained as you like.
Anthropic
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
> yeah and antropic s1 is going to shock many people, its going to be an eyeopener I am looking forward to audited financial statements. Like, all the interesting stuff will be buried in notes, but they'll have to actually calculate real revenue, not the nonsense that is ARR. These tools are useful, but I find it hard to see how OpenAI/Anthropic justify their valuations. Apparently Anthropic's may be this week (the S-1) as they've finished picking all their bankers.
Cohere
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OpenAI's GPT-6 Astra on ARC-AGI-3 Scored 99.95% with Provider Adapter Harness
ARC-AGI-3 consists of various games specifically made for the competition, and the goal is to clear the game with as few moves as possible. So there's no answer key per se, but Astra was probably trained on game-like reinforcement-learning environments to the point where most games look very similar to a game it was already trained on. In any case, the competition was designed to highlight an issue with existing agents at the time where they couldn't maintain coherence over long sequences of actions, and it seems that problem has been remedied. I'm looking forward to finding out which weakness ARC-AGI-4 will be targeting.
Anthropic
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It's time for Mark Zuckerberg to resign from Meta
Meta could drop a new feature tomorrow and have the tech media in a shambles within 15 minutes. Their product family is used by 3.6 billion people every day . OAI and Anthropic are still measuring per month.
Cohere
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ripwire: ripgrep of AI context (CLI+MCP) giving coding agents a map of any repo
My policy is that if someone doesn't understand the tool they've vibe-coded well enough to make the documentation coherent, they don't actually use it, and so I probably shouldn't use it either.
Cohere
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ripwire: ripgrep of AI context (CLI+MCP) giving coding agents a map of any repo
Opus can't speak coherent English anymore. I dunno what happened, but it's not speaking a language humans can understand. It uses unusual shorthand and slang, which it seems to use pretty consistently, so it's probably possible to learn its particular dialect. But, I'd rather it speak a language I already know.
Anthropic
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Ask HN: How do you manage skills files?
Yes, skills as a "portable power" isn't really the use case for me unless it's entirely generic and even then sparingly. I've mostly followed what anthropic suggests, which is putting less into context and more into skills, to keep the "how" out of context until it is needed to reduce context bloat. Skills have some instructions but are primarily informed repo specific instructions and keep their context away from the rest of the repo to keep things sanitised for me. I've found it to be useful in that context.
Anthropic
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Outrageously Small Neural Networks: 6,616 tok/s on One Intel AMX Core [pdf]
I think we should revisit outrageously small neural nets. I needed a cheap model that runs at over 10k token/sec on a single CPU core for some data processing. So I gave Anthropic claude code a pile of tokens to build one. It made three discoveries that I thought were interesting: 1) One Intel AMX core can train a 3M active parameter MoE foundation model at 6,616 tok/s on 4.91B NVIDIA Nemotron tokens in a few days. 2) That model shows emergent in-context copying, positional analogies, and basic arithmetic after about 250M tokens. 3) The foundation model gives large gains in downstream SFT, and the training & eval loss keep going down all the way through 4.91B (and likely beyond). Claude is not as good as a great MLE at debugging MoE. It made a bunch of bone headed mistakes, but …
Cohere
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I'm a seeing-eye dog for a computer
Sure, they exist, but online they are simulatenously unable to apply any logic and then surprisingly coherent and intelligent in the next reply.
Anthropic
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Ask HN: Model sycophancy benchmarks?
Closest I know of are SycEval and the sycophancy evals in Anthropic's 2023 paper, both built on a user pushing back at a correct answer.
OpenAI
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
> Keyword is autonomous [0]. Excel isn't. No, I didn't forget it. Just as OpenAI made up a definition to support their claim of AGI, so did I.
OpenAI
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
Do we actually know that OpenAI is in serious financial difficulty? https://danluu.com/zitron/ HN discussion: https://news.ycombinator.com/item?id=49526069 Shower thought: I wonder if this whole "OpenAI is in serious financial difficulty" thing is a psyop so people will relax and avoid doing what's necessary to stop them.
OpenAI
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
Keyword is autonomous [0]. Excel isn't. And I would argue LLMs aren't either. A lot of economically valuable tasks involve manual labor. Can LLMs fix your plumbing? It would help if OpenAI would define what 'most' means and give some examples. Remember they said their LLMs are like a phd level brains? It's just hype and bullsh!ttery. Don't get me wrong, genAI is great and really useful, but it's not AGI imo. And there is no consensus what AGI means, so the industry should come up with an agreed definition first. [0] To me autonomous means self directed, e.g. we humans look at things and then decide which problem or thing to work on. LLMs don't do that. We have to tell them. Yes they might work on a sub task autonomously, but still require human input later on (review), because we can't fu…
OpenAI
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
doing so well that they need to slow down down.. https://www.businessinsider.com/openai-chief-scientist-ai-ri... At this stage, it feels like OpenAI and nvidia is openly negging and lovebombing OpenAI to ensure the public is in a constant state of uncertainly, thus ensuring paralysis in democracy while still going hell for leather in the background. I suspect their intent is to ensure they're the last man standing.
OpenAI
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
Well it's certainly informed, as he has information on behind-the-screnes data we don't have about OpenAI But certainly it is not unbiased
OpenAI
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
Nvidia is not a competitor of openai, but a partner
OpenAI
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Nvidia's Jensen Huang says 'AGI has arrived' and congratulates OpenAI
> OpenAI defines [AGI] as "highly autonomous systems that outperform humans at most economically valuable work." Well in that case: Excel reached AGI decades ago. It outperforms humans at the single most economically valuable task in the world: adding up numbers in a spreadsheet. Congratulations, Microsoft :)
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