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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
2851
Across all collected Hacker News results
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Showing 2321–2340 of 2851 matching discussions
google results haven't been deterministic since pretty much forever now, even if you had the exact URL, exact geographic location, a user profile with the same history, it's not guaranteed you will be able to replicate
> faster than Claude will take money out of your pocket and into theirs Damn, and I thought Anthropic was fast.
I've tried repeatedly and I cannot replicate any of your results. No matter what I search for, the date filter works. What were you searching for? Please share your full queries and have screenshots that capture the URL as well. edit: You also say this occurs in the "huge majority" of the times you search. You give one cropped screenshot that does not even show your own query. As a journalist, please specify whether you intended for "huge majority" to be taken literally or figuratively. How many searches have you run and how many have one of these bugs?
At best this is a small piece IMO, but this does look like a piece of it, well done. At least based on my own experience exposing sys prompts from niche llm models in my saas niche. Should be higher upvoted. For those asking for proof, unfortunately it simply isn’t possible short of anthropic employee disclosure. All I know is that this is exactly how LLMs tend to leak: provide info they didn’t realize was sys prompt related and thus leak what they aren’t supposed to leak within their own current context window.
Just in case you are interested in any facts ... The Trump administration, having first blocked China from buying NVIDIA H100's, has since done a U-turn and is now allowing them to buy the more powerful NVIDIA H200, on a case-by-case basis. Now, the CHINESE government is blocking Chinese companies from buying these H200s, at least in part because it turns out that being denied US tech has been a great accelerator for Chinese tech, with Huawei now producing the entirely domestic Ascend 950 chip, which according to NVIDIA's Jensen Huang performs about the same as NVIDIA's own H100 (which while not NVIDIA's most powerful is still plenty capable, and is what Elon Musk's Colossus-1 data center mostly uses, currently being rented out to Anthropic).
I find just going for a walk in nature, after walking for 2 hours something happens with my brain. I'm more calm, relaxed, focused, and coherent in my inner thoughts. I think it takes around 2 hours of inner monologue and thinking about all the problems I'm facing in my life until I feel like I'm done and I can let them go, or I've gone over them enough.
Good enough for what? Certainly good enough to direct people to the correct links for their platform. And, to me at least, to signal ahead of time that it’s a Claude-flavored game. Personally I’m not much for those (I don’t really snack on games) but I know people who enjoy burning through them. And “Claude-game” does feel like a steadily-more-coherent genre, with its own aesthetic language and high- and low-quality examples. But of course it all comes back to the same old open-source questions. Is it marketing if you’re not selling anything? Does somebody have to be good at—or care about—writing or marketing in order to share their GPL game with the public for free? To skip the landing page, the source repo is here: https://github.com/PubDeer/astro-loop
When you have a lot of interdepended systems it is not always possible. In our case our test environment cannot be replicated locally on developer machines because it integrates to various 3rd parties to which we only have one set of test credentials.
Obviously vibecoded but interesting nevertheless. The agent left everything marked as untested in the README but the output snippets toward the bottom imply that it got something working enough to log in and run some commands. Nobody is going to mistake this for a carefully crafted port of Linux but it at least serves as a proof of concept. The real downside of the vibecoding is that we don’t get any helpful information about what it took to get it done with thoughtful analysis from a human. Just a chunk of code in a GitHub repo with some half-coherent README. There’s a docs folder, but the documentation about the MMU part just says that there are two MMUs across a couple lines of notes. Okay, great.
Yeah, it's a pretty fascinating architecture. I already have a side project called AppDeck where I've been buliding out a WebDAV server and a suite of HTML apps that know how to save modified copies of themselves back to the server. I've been using it for a couple of years, and the suite is growing - tools, apps, games, etc. My son had written a game like this called "Quantum Chain" that had basic leaderboard functionality. That was the first app we ported: the platform injects the webcdx.js shim, and we update Quantum Chain to post messages to it when someone finished a game with a high score. This is replicated out to the relays the same way every message in the group chat is. When the app fires up, Delta/ArcaneChat replay all messages that are typed for that app back to it, and it…
yes, a mistake can be a crime, depending on negligence and liability. the bigger problem at anthropic is this. an ubermensch cannot admit to being wrong. a guilty ubermensch is logically impossible. as such a moral wrong caused by an ubermensch must be blamed on a "mistake" in the abstract, and not blamed on the ubermensch. the ubermensch at anthropic does not admit responsibility or liability. the ubermensch must instead be commended and perhaps even rewarded, for discovering the reified "mistake" that caused the problem. there is no ubermensch at anthropic. there are instead guilty people. false ubermensch are dangerous because they centralize power with the belief that they are above the rest. über (above), and super ('beyond' the understanding). they do not admit to doing or being wro…
Every Ai project needs the same infra - API keys, providers SDKs, retry logic, cost tracking. it should be infra layer. Aurora is a Go gateway that handles that layer, ~15MB binary, no dependencies. It proxies requests to OpenaAI, Anthropic, Gemini etc, and can convert between formats - use the OpenAi SDK and Aurora translates to Anthropic's wire format automatically. No format conversion code in backend. It helps: - track costs per customer/team - switch models and providers without changing code - debug requests and responses flows more easily - reduce costs with exact and semantic caching How its different than other gateways: - auto-discovers providers models - provider pools with automatic failover switch - built in guardials, audit logging with export, analytics, admin dashboar…
Every Ai project needs the same infra - API keys, providers SDKs, retry logic, cost tracking. it should be infra layer. Aurora is a Go gateway that handles that layer, ~15MB binary, no dependencies. It proxies requests to OpenaAI, Anthropic, Gemini etc, and can convert between formats - use the OpenAi SDK and Aurora translates to Anthropic's wire format automatically. No format conversion code in backend. It helps: - track costs per customer/team - switch models and providers without changing code - debug requests and responses flows more easily - reduce costs with exact and semantic caching How its different than other gateways: - auto-discovers providers models - provider pools with automatic failover switch - built in guardials, audit logging with export, analytics, admin dashboar…
It would be my reaction if we're discussing a blog post from OpenAI, yes. I would be looking at it extremely critically, wondering what they're misrepresenting to make it look cheaper, easier, and why they're trying to make it look like only their model could possibly do this. Look at their recent claims about their model "escaping" - there was literally a Guardian article calling them out for being hyperbolic! Again, it wasn't that they lied, their marketing department is too savvy for that. They just present it in way that's, well, marketing. As for the actual result, I'll look for secondary posts by actual mathematicians and draw my conclusions there, not from this marketing blog post about results from a secret model.
I love how people come up with creative ideas to prove the bubble. This one is even more ridiculous - that OpenAI had spare compute to advance mathematics proves that data centres will not be needed. WHAT. If anything it proves more data centres are needed. That's literally the only reasonable conclusion from this news.
Not being an expert in any of the fields OpenAI has "advanced" I don't want to prematurely downplay the significance of this contribution. However, I am worried that the language they are using in this blog post is exaggerating for the sake of marketing. It is true there hasn't been a reliable computational approach to solving these problems before. But do these proofs contribute new ideas to the mathematical corpus, or are they simply an effective method to exhaustively search the literature for the right combination of existing tools to apply to the problem? Essentially, did these problems seem like they had an intuitive answer and were feasible to prove before, just not high enough value targets for an expert to invest time into? Or were they fundamentally difficult prior to this point…
Only for Anthropic. OpenAI officially allows you to use your subscription in non-Codex harnesses / API-like use.
Only for Anthropic. OpenAI officially allows you to use your subscription in non-Codex harnesses / API-like use.
This is both awesome and terrifying for mathematicians, however some ideas can be generated and the field as whole expanded with the attention! However, I was looking at the proofs and reason explanation and openAI should be more explicit in how the work has flown. I find the models have jumped hoops in some places of the proofs, that can be hard to track. In fact, when a paper is published you usually get a review and if no reviewer understands they ask you to further explain the thought process. It will be fun to see if this happens here.
Would this be your reaction if OpenAI also solved millennium problems? The point we are trying to make is that the significance of this news is much larger than the skepticism you are providing.
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