The more AI products I try, the more I feel like there's a difference between understanding language and understanding communication. Most tools today are surprisingly good at processing what people say they can summarize conversations, extract key points, and answer questions about what was discussed. The problem is that conversations are often about more than the actual words. I noticed this recently while watching recordings from a few customer interviews. If I only read the transcripts, th...
We keep seeing the same pattern team ships an agent, agent works great in testing, agent gets prompt injected in production within the first week. 73% of production AI deployments showed prompt injection exposure in security audits last year. Most of them had zero defensive layers. Not weak layers zero. So we wrote a practical guide covering the 7 things you should actually do in priority order Day 1 (free, immediate) Harden your system prompt explicit deny lists, not vague "be ...
We released what I've been working in the last few months: an Openclaw plugin that ecords every session, tool invocation, and prompt exchange into a local SQLite database with SHA-256 hash chain integrity, so you can verify that no events were altered or deleted after the fact.
Comments URL: https://news.ycombinator.com/item?id=48548225
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The honest, local-first usage meter for AI coding tools. Claude Code, Codex, Kimi, Qwen CLI, HashCortx, HashCerebrum — unified into one clean dashboard with usage based trophies :)
Comments URL: https://news.ycombinator.com/item?id=48548576
Points: 2
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I image searched a picture of a man getting arrested while wearing a shirt that said "Trump is in the Epstein files" and this is what the AI response was. Really weird
Fable 5 lasted three days before getting pulled. Not because it was bad, the suspension had nothing to do with the model’s actual quality. Got me thinking about how most “model risk” planning is just “what if the output gets worse” or “what if the API goes down.” Those are testable. What’s apparently not testable is “what if access to this exact model just stops existing for reasons completely unrelated to how good it is.” Anyone actually built real fallback paths for this, like a different ...
I was reading about equipment financing recently and was surprised that approvals can still take weeks or even months in some cases. By the time financing is secured, projects can be delayed or opportunities lost altogether. It made me wonder whether the real problem isn't access to capital, but the speed of capital. Curious what people think.
Bonjour je travail beaucoup sur du data cleansing au travail ce qui est assez long je dois exporter des sap pour mettre en forme et croiser la donnes sur de larges volumes, ce qui est redondant auriez vous des pistes pour que je puisse automatiser mon travail ?
TL;DR: Last Friday the US government ordered Anthropic to block all “foreign nationals” — including non-citizens inside the US — from using its new Fable 5 and Mythos 5 models. Since you can’t separate a green-card holder in California from a citizen in real time, Anthropic shut the models down for everyone. It’s the first time export controls have hit an AI model itself rather than the chips that run it. The under-discussed part: a nationality-based access rule that geography can’t enforce push...
In the movie Persian Lessons, the protagonist Reza devoted a large part of his energy to playing along with a prevailing insanity. At first he did this for a single reason: Staying alive. Later Reza becomes indifferent to whether he stays alive or not, and instead finds his primary purpose in helping his inmates any way he can. Klaus, the commandant in the concentration camp where the movie takes place, has a desire to learn Persian, and as long as Reza serves the purpose of teaching him Persi...