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2061
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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
2061
Across all collected Hacker News results
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Showing 1921–1940 of 2061 matching discussions
Hi HN - author here. Problem I kept hitting: ask the agent for a 15-line fix, get a 500-line renovation that still compiles and passes tests. Boffin is a small control layer for AI coding agents. Before an edit, it feeds the agent only the architectural constraints for the file it is about to touch, then makes it verify the result. Not another static AGENTS.md for the whole repo. On DuckDB, a guided refactor landed at +17 / -17 lines with 2,104 assertions passing. Same shape of cases also on FastAPI and LangChain (in the repo examples/). Try it: npx boffinit cursor Also works with Claude Code, Codex, and OpenCode. Happy to answer questions — especially if you have a place where the agent keeps "improving" load-bearing code.
We're not that deep yet. OpenAI has federal stakeholders, they're already playing dirty. Why you would give Scam Altman the benefit of the doubt is beyond my understanding.
that could also be just marketing. OpenAI has been doing the "too dangerous to release" playbook since GPT-2 at the very least.
You're mixing up a few things. A company valuation alone is irrelevant, you have to take in account the way it relates to the underlying business. In the case of both google and apple their valuation is mostly based on the fact that they own entire ecosystems and have consistently generated significant profits over decades. That's not the case of AI vendors. Their valuation is based solely on the belief they will eventually develop an actual business model. Apple and alphabet are both trading at something like 10x revenue, with very high operating margins. On the other hand you have AI vendors: OpenAI $852 valuation is ~34x revenue, with $14B losses projected for 2026. Their infra commitment through 2030 is more than $600B (that's on the low end of numbers floating around). Just for the i…
Nice research and structuring into 4-tier layer. For providers like Anthropic and OpenAI, subscription is the entry point for all these, right? Besides the measures proposed in the article, can token usage % determine these clusters of accounts?
I was primarily referring to the acquisition of musk's ai company. But the more general (and unfortunately widely accepted practice of) government contracting culture certainly applies to OpenAI and Anthropic as well. EDIT: cleaned up my comment; removed a more inflammatory claim about corruption in the private sector.
I'm building a SaaS platform in Sri Lanka that handles documents and other sensitive data. Each user can upload their own documents and information, and the platform uses RAG to answer questions based on that user's data. That part makes sense to me. My main concern is what happens when the user hasn't uploaded enough information. I still want the LLM to provide accurate answers using reliable information from the internet (or from a curated knowledge base), with proper citations. These are the two architectures I'm considering: Option 1: Base LLM (OpenAI/Anthropic via Azure AI Foundry or Amazon Bedrock) ↓ Platform RAG (global knowledge base managed by us) ↓ User-specific RAG In this approach, we maintain a global knowledge base that we (the platform admins) curate and update. Every …
OpenAI has been way more aggressive about capacity than anyone else (as evidenced by the fact that it was them that caused the RAM price spike)
Which corruption exactly? NASDAQ giving them fast entry so the biggest IPO in history is done on NASDAQ and not on NYSE who was also competing for it? Both are fighting for OpenAI and Anthropic listings as well which likely influenced their choice to get in early with SpaceX
Pangram said a bunch of reasonable things and responded very coherently to the point and you skipped over it and misinterpreted this one section.
Huh? The wiktionary link I included links to (Failspy's message in) this 2024 discussion about how and when and why it was coined (by failspy): https://huggingface.co/posts/mlabonne/866788930457283#67196f... , as well as another one. To your question, I am not a bot, my LinkedIn is in my profile if you want to know who I am. I'm persisting because, I guess, I'm really confused by your own insistence, and feel curious to get to the bottom of the weird misunderstanding we must be having (maybe you're trying to argue something different than "user chmod775 intended to refer to 'ablation' and was mistaken to write 'Just put "uncensored", "abliterated", or "heretic" into search on huggingface/ollama/etc and pick any them' instead of 'Just put "uncensored", "a…
Weave is a React app that provides a multi-track timeline editor to perform basic video edits like trimming, stitching, transitions, audio tracks etc. which maps directly to an FFmpeg command to render the video. I tried my best to have the React "video" preview closely replicate the FFmpeg lavfi filtergraph output, but naturally this is not perfect (especially replicating the `eq` filter using SVG filters is quite inaccurate). I've built this as a prototype for another project I'm working on, so I don't plan to actively maintain it, but I thought it'd be cool to share it. Try it live: https://weave.salviano.xyz/
It's not World War 3. It's just two increasingly overlapping unsolvable wars involving two increasingly coherent geopolitical blocs consisting of dozens of countries spanning three continents, most major nuclear powers holding 95% of global nuclear stockpiles and the vast majority of global military spending and resources, with nuclear-capable cruise, ballistic, and hypersonic missiles flying back and forth, attacks on strategic nuclear early warning systems, threats of nuclear first-use and global nuclear holocaust, etc. Fighting over issues the leaders of the involved superpowers and great powers have described as existential and beyond compromise. Not World War 3 though, currently. https://www.theguardian.com/world/2026/jul/26/ukraine-war-br...
I'm not sure why the OP is using that word: he is working for a (for-profit) company , not at a "lab". > Mistral AI SAS (French: [mistʁal]) is a French artificial intelligence (AI) company headquartered in Paris. * https://en.wikipedia.org/wiki/Mistral_AI I'm not sure why "lab" is being used for all of these companies in this space. Is it an attempt to sweep their money motivations under the rug, or something else?
Curiosity: For most of the past five years, I've known ways to do better than Anthropic, OpenAI, and friends in many ways, at least on paper. I know I was right about many of them since many would show up 6-24 months later tools from the major providers, or otherwise become standard practice. A central problem is the Mythical Man-Month. True, I could do those, beating then-state-of-the-art, but only given 2-5 years. I suspect many other people knew about them too and could do so as well. As I noted above, throwing people and dollars caused many of those to be built in less time than I could have regardless. Other methods, I'm less confident about (>50%, <80%), but would lead to similar speeds, but would need $$$$$ in compute and engineering infrastructure to build out. E.g. they nee…
Curiosity: For most of the past five years, I've known ways to do better than Anthropic, OpenAI, and friends in many ways, at least on paper. I know I was right about many of them since many would show up 6-24 months later tools from the major providers, or otherwise become standard practice. A central problem is the Mythical Man-Month. True, I could do those, beating then-state-of-the-art, but only given 2-5 years. I suspect many other people knew about them too and could do so as well. As I noted above, throwing people and dollars caused many of those to be built in less time than I could have regardless. Other methods, I'm less confident about (>50%, <80%), but would lead to similar speeds, but would need $$$$$ in compute and engineering infrastructure to build out. E.g. they nee…
I would love to follow this advice, expect there is no proof that it leads to better results. Maybe it’s only better on Anthropic codebases (e.g., Bun). Or maybe it’s only marginally better but substantially more expensive. Other comments in this thread show that your mileage may vary . But we spend so much money on Claude Code and give it so many responsibilities that we deserve at least some undeniable proof that it’s bringing value. Where is the evidence that this new type of prompting is better on real life examples?
So is it possible to say "No bots except Google, OpenAI, Grok, Claude and Perplexity"? As far as I can tell, Google is the only one sending me visitors. And the other big AI players might do so in the future. Another option would be "No anonymous bots". So at least if a bot would want to crawl my site, they would have to identify themselves. Since the rise of the AI bots, I am getting hurt badly with insane amounts of requests from residential IPs that mimic real humans. The only difference being they don't make me any money. Only produce costs. By the way, how is the situation over at Amazon's Cloudfront? Do they offer something that helps? Anyone here with them?
The ones I'm seeing on Bing aren't that interesting. Bing seems to use Cloudflare captcha but hide their branding which is a first I've seen. A lot are "shared by Anthropic" I wonder if they are demo or what. Why would employees all be using that account name? And why even be using web chat? You can archive them in ~30 seconds with megalodon.jp
I spent some time running mitmproxy and watching the system prompts and it's what drove me to codex. the main issue for me was their system prompt wrapped the CLAUDE.MD with a "IMPORTANT: this context may or may not be relevant to your tasks. You should not respond to this context unless it is highly relevant to your task." https://github.com/anthropics/claude-code/issues/18560 Anyhow- if anyone is sufficiently curious and has access- just tell the agent to setup an mitmproxy to watch the traffic and see what the system prompt looks like.
Methodology: HN Search returns recent public items matching a monitored company name. AIIStack stores a short normalized excerpt and the original link, deduplicates by company/provider/item ID, and creates an activity signal only after a threshold of newly observed records. Review the original discussion before making a decision.