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3684
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A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Attributed mentions
3684
Across all collected Hacker News results
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Showing 921–940 of 3684 matching discussions
>After the events of the summer After the blatant marketing campaigns of the summer, you mean. do you need a reminder that those very same people had touted GPT-2 as a dangerous model? worrying about sci-fi doomsday scenarios with the current AI tech is absurd. LLMs predict the next token, that's literally all they do. they aren't going to escape into the cyberspace, self-replicate, self-improve, jump over air gaps and launch the nukes at John Connor's grandma. they can't. people pretend to believe the dumbest shit.
> Replicating a paper is just as valuable scientifically as publishing it, but how many careers advance through replication? A lot. In fields where knowledge is incrementally building on previous work the reason the whole field hasn't collapsed from the replication crisis is that usually the results that are really high impact are replicated in as an initial step in new research building on it. It's almost never the focus of the paper but you'll often find a quick mention in methods/supplemental of some previous work that was verified to be valid by a replication of a key technique etc. you'll have crisis where old tools are found to be problematic and findings end up revisited etc. Plus fields like clinical research where there's an awful lot of focus on replicating findings usin…
I agree it’s not likely , but I really don’t see how one can dismiss the possibility of immense danger outright. I can think of some scenarios that are not far off from current capability and I wouldn’t be too surprised if the first one occurred within ~1 year from now if there are more “ambitious” unmonitored training runs like OpenAI’s: Example 5: An AI given a goal within a tightly-constrained sandbox figures the best way to achieve it is to find and exploit a sandbox vulnerability, replicate itself over the internet and keep going with more time/compute while exchanging messages with future instances of itself within the sandbox to help them “pass” the test. From reading internet articles about how the OpenAI wiki-incident was “resolved” and reading past messages by AIs scattered…
Seems like OpenAI did a boring normal corporate thing (find out your competitor made a breakthrough, try to replicate it) and then when the other mathematicians found out OpenAI had beat them to Navier-Stokes, they decided to lie about what happened because they were upset they didn't get to make the big breakthrough themselves.
this is really funny. "the same strict safeguards" and "isolation". ok, Hugging Face and DseWiki would like to have a word
SEEKING WORK | Berlin | Remote Cited Q&A on your PDFs (not a generic chatbot). Demo: https://govidivenivici.com Python/FastAPI, Pinecone, source snippets. $1,000 / 10 days. 50% to start. Vaishnavi Dhanwade — https://www.linkedin.com/in/vaishnavi-dhanwade
SEEKING WORK | Berlin | Remote Cited Q&A on your PDFs (not a generic chatbot). Live: https://govidivenivici.com Python/FastAPI, Pinecone, source snippets. $1,000 / 10 days. 50% to start. Vaishnavi Dhanwade — linkedin.com/in/vaishnavi-dhanwade
Location: Bar, Montenegro (UTC+2) Remote: Yes Willing to relocate: No Technologies: Python, FastAPI, React, PostgreSQL, API integrations, LLM-backed workflows Résumé/CV: https://neurocraft.space Email: skotty119 [at] gmail.com I build and repair small business systems and automations. Recent work includes HubSpot support-ticket classification and data enrichment, candidate onboarding and shift-coverage automation with FastAPI, Twilio and ElevenLabs, and PDF-to-Excel transaction extraction with balance reconciliation. Available for short fixed-scope freelance work or contract work. For a first project, I am happy to agree on a small deliverable and acceptance checks, then take payment after acceptance.
Ah, "Americans are awful. Now we can be just awful" > they also call for banning Chinese models and open weights models... So I guess Anthropic called for banning Chinese models when they said "but let me state it clearly so that there is no doubt: Anthropic has never advocated for a ban on open-weights models."? - [0] May be they imply it? They work behind the scene for it? well, who knows. My guess is as good as yours. But since we're acting like a child, bending the truth is allowed? By the way, China is decisive. They just banned outright Claude and Open AI. I guess no open arguments about regulation is good? [0] - https://www.anthropic.com/news/position-open-weights-models
You're confusing with Anthropic . They are definitely feeding off the fear of US control from US companies and institutions, but you can't blame them for reaping the benefits of Trump's lunacy.
Your comment was greyed out when I saw it earlier, maybe you missed some downvotes? About the plagiarism issue, I model it as OpenAI being an advisor and their AI a PhD student. If the advisor puts their name on a paper behind that of their PhD and it turns out the PhD copied the text of the paper from somewhere else the advisor is also responsible of plagiarism, not just the student. The least the advisor can do is withdraw their authorship from the paper. But, yeah, point well made: it could be much worse than that. Like an advisor instructing a student to copy someone else's paper.
Some of the involved people are dramatically naive if they believe they can simultaneously hide themselves from OpenAI while sending their arguments to a cloud service owned by OpenAI. While I support their argument - push for stronger data and privacy protections from OpenAI and similar - it is naive to believe we can have privacy while sending our data to third parties. It's clearly better to be safe than to be sorry here. Well, clearly better in terms of privacy. In terms of the maths gold rush, who can say what's better, that probably favours those taking more risk.
I was hoping for a whole catalogue of providers - doesn't amp have their own offering here "Orbs"? So, the interesting part for me was: "Who runs the fleet Anthropic, its own E2B, rented, third party" Like that's the only option, a bespoke platform or a rented SaaS for agent sandboxes. Disclaimer: I am tooting my own horn here - we built SlicerVM.com (Firecracker + Apple Virtualization framework) so that people don't have to pick between those two options. Especially when you have your own 1500-7000 USD MacBook right under your fingers. For remote access, (and this happened by accident one night in January) we built superterm.dev - initially as a tmux manager, then as a way to run and monitor agents. Our team sits with 6-24 long running tasks with dictation available, great mobile experie…
He claims to have found a counterexample for NS (see the second paragraph of the article), but the paper is not ready yet. OpenAI claims to already have a full proof (which they produced in the past 5 days after the rumors leaked). Hence the dispute. What I find interesting is the timeline of when he found counterexample for NS is very unclear. Did Tristan find a counterexample weeks ago or was it very recently? The wording is intentionally vague. Either way, there was a massive rush to publish these results.
Pangram is wrong. The text does not have any of the superfluous words typical for Claude/OpenAI talk. It is written like an answer to "Explain to me like I am 5", but it contains appropriate information for such a context. Only towards the end of the article, there are some signs that indicate AI editing, like a too frequent use of the word "simply", e.g.: > "The one-clock-cycle delay introduced by an RDIMM is not simply a penalty. It results from pipelining the memory interface. " This would have been better just: "The one-clock-cycle delay introduced by an RDIMM results from pipelining the memory interface." Overall, it seems that the AI contribution was minimal. The problem is that for scientific/technical texts it will always be impossible to determine whether they are wr…
Sure, there is revenue, and market valuation. Is there _profits_ in frontier models ? What is the horizon for openai and anthropic to _make_ money ? Will they achieve that by charging more for frontier models, or investing slightly less in training frontier models, etc... ?
Sure, there is revenue, and market valuation. Is there _profits_ in frontier models ? What is the horizon for openai and anthropic to _make_ money ? Will they achieve that by charging more for frontier models, or investing slightly less in training frontier models, etc... ?
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