Michael Saylor: BTC Annualized Appreciation Above 3.3% Would Allow Strategy to Support STRC Dividends IndefinitelyStrategy Founder @saylor said on X that MSTR’s core metric, “BTC Breakeven ARR,” is often misunderstood. Saylor said the metric means that if Bitcoin’s long-term annualized appreciation exceeds 3.3%, the company can indefinitely support STRC dividends through Bitcoin capital gains. According to the chart he shared, even if BTC rises 0% annually, Strategy would still have 31 years of dividend fun ...

[music] >> Hello, hello. Um Have you ever given a task to Claude code and uh you give it a feature and you be like, "Okay, cool. Uh can you build this for me. " And Claude code starts putting it out into subtasks and you see it very Okay, this is pretty cool. You see it running a multiple sub agents. They're all right, that's really cool and you can see like ripping through all of your tasks, sub agents being completed and it gives you like a final output. Task completed. Like, "Amazing.Great. " But when yo ...

Hello. Um I'm here Sorry to bring the tone down to about government. Um so I'm what's called a forward deployed engineer in the UK government. So I'm currently working in the Ministry of Justice in the Justice AI unit.Uh some of you might have heard of it. It's It's the closest thing you can find to a startup in government, basically. Uh before this, I was at Harvard, dropped out, had a YC company.And then while I was there, I was reading the Times, as one does, and there was a puzzle in the Times. It was l ...

Hi, everyone. I'm Sachin Kumar, and I work as a senior data scientist here at LexisNexis. Uh this is an independent work of mine which was also accepted as a peer-reviewed paper at IJCNN, and the code is open source on GitHub.Now, as the presentation is titled like your LLM deception monitor's broken, the fix is in training data. So, I'll start with what that basically mean. Uh so, if you fine-tune LLMs and ship them, this talk is a both warning and a fix.Now, as a warning that a model can pass every eval y ...

Karpathy's Agentic Engineering finally has proper tooling!(built by Google)Karpathy defined agentic engineering as the discipline that separates production agent work from vibe coding. The core skills he listed were spec design, eval loops, and security oversight.The problem is that production agents don't run on the agent code alone. They need a model provider, a retrieval layer, an eval system, a deployment target, and observability.And normally, these are scattered across different dashboards, config fil ...

🚨 LATEST: Microsoft is starting to replace OpenAI and Anthropic with its own MAI models in products like Excel and Outlook as it looks to cut AI costs. https://t.co/1nTck9avRl ...