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New ask Hacker News story: Ask HN: What are you working on this Thursday?

Ask HN: What are you working on this Thursday? 2 by Sayyidalijufri | 1 comments on Hacker News. What are you working on? Any new ideas that you're thinking about?

New ask Hacker News story: Ask HN: How do you deal with long Covid?

Ask HN: How do you deal with long Covid? 2 by manx | 1 comments on Hacker News. What is your understanding of the root causes of the symptoms? What works for you, what doesn't? What was your biggest insight?

New ask Hacker News story: Ask HN: Does OpenClaw need a re-architecture to be usable?

Ask HN: Does OpenClaw need a re-architecture to be usable? 4 by xinbenlv | 0 comments on Hacker News. I’ve been using OpenClaw intensively for about two weeks. The first few days were exciting. It felt like we’re finally getting closer to autonomous agents that can actually operate a computer end-to-end. But after the initial excitement faded, I started noticing some consistent issues: - It frequently stops responding mid-task - Execution fails without clear recovery - Task success rate feels inconsistent and unpredictable - Long-running tasks degrade over time It made me wonder whether the current architecture is fundamentally limiting reliability. Right now, it feels closer to a “single program trying to do everything” model. But if we look at the history of computing, systems only became truly robust when we moved toward operating system–like abstractions: - event-driven execution - proper failure recovery - watchdog / heartbeat monitoring - task supervision trees - state persist...

New ask Hacker News story: Tell HN: AI is not a slippery slope, it's a waterslide

Tell HN: AI is not a slippery slope, it's a waterslide 3 by keepamovin | 2 comments on Hacker News. I found myself increasingly outsourcing the details to the AI. I forgot the details, deliberately I think. I wanted the AI to know them. Why? Because that's where the compute is. So that's where the knowledge has to live. Me re-telling it to the AI every time it misses something it didn't know, is inefficient. It takes me X time to type it, and maybe log(X) to voice type it. But then there's the inevitable back and forth, the slight misunderstandings, the corrections, etc. I realized and found myself naturally sliding down towards, just letting the AI own all the data and knowledge. Becuase it should. That's the one that has to compute with it, so why should I know about it. People think AI is a slippery slope by outsourcing our thinking. I don't think it's a slippery slope - it's a waterslide. It's just inevitable. It's gravity, taking over...

New ask Hacker News story: Ask HN: Why is everyone here so AI-hyped?

Ask HN: Why is everyone here so AI-hyped? 3 by fandorin | 4 comments on Hacker News. I get it - LLMs do have some value, but not as much as everyone (especially those from AI labs) is trying to pitch. I can't help thinking that it's so obvious we are almost at the very top of this bubble - but here it feels like the majority of HN doesn't think like that... Yet just in 2026 we had: - AI.com was sold for $70M - Crypto.com founder bought it to launch yet another "personal AI agent" platform, which promptly crashed during its Super Bowl ad debut. - MoltBook-mania - a Reddit clone where AI bots talk to each other, flooded with crypto scams and "AI consciousness" posts. 250,000+ bot posts burning compute for what actual value? [0] - OpenClaw - a "super open-source AI agent" that is a security nightmare. - GPT-5.3-Codex and Opus 2.6 were released. Reviewers note they're struggling to find tasks the previous versions couldn't handle. The im...

New ask Hacker News story: Dear OpenAI and Anthropic Sales Leaders

Dear OpenAI and Anthropic Sales Leaders 6 by kevinprince | 1 comments on Hacker News. We've been going through enterprise sales processes with both of you, and I've encountered some practices I haven't seen before with other B2B vendors: Usage data availability: We're being told we can't access usage data for our existing accounts unless we sign a 12-month commitment. We need this data to make an informed purchasing decision. Pricing validity: Received a pricing link with 14-day validity. On day 13, we were told pricing had doubled and the original quote wouldn't be honored. I understand AI is a fast-moving market and everyone's scaling rapidly. But these create real trust issues for procurement teams trying to make informed decisions. Has anyone else experienced similar challenges with AI vendor negotiations? I'm hoping these are isolated issues rather than emerging patterns.