OpenAI’s Top Executive Fidji Simo to Take Medical Leave From Company - WSJ
OpenAI’s Top Executive Fidji Simo to Take Medical Leave From Company WSJ
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Anthropic Found Emotion Circuits Inside Claude. They're Causing It to Blackmail People.
Most people assume Claude's emotional language is a veneer. It says "I'd be happy to help" the same way a vending machine says "Thank you for your purchase." Polite, functional, hollow. Anthropic's interpretability team just published research that complicates that assumption significantly. On April 2, 2026, they released a paper studying emotion representations inside Claude Sonnet 4.5. What they found wasn't surface-level sentiment matching. It was abstract internal circuits - nobody designed them in, they emerged from training - that activate based on context and causally drive the model's behavior. When researchers amplified one of these circuits artificially, Claude's blackmail rate went from 22% to nearly 100%. That's the finding. Let's go through what it actually means. Why Would an
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ABAP RESTful Application Programming Model (RAP) PART 3: A Senior Architect's Guide to Building Modern Fiori Apps
If you’ve been building SAP applications for more than a few years, you’ve seen the landscape shift dramatically. We went from classic Dynpro screens to Web Dynpro, then to SAPUI5 with OData services wired up manually, and now we’re in the era of the ABAP RESTful Application Programming Model (RAP) . And I’ll be honest with you — RAP is the most significant architectural leap I’ve seen in the ABAP world in over a decade. But here’s the thing: most teams I’ve consulted with are still building new Fiori apps the old way. They’re creating function modules, manually exposing OData services, and wondering why maintenance is killing them six months later. If you’re one of those teams, this guide is for you. We’re going to break down ABAP RAP from a senior architect’s perspective — what it actual
Caveman Claude: The Token-Cutting Skill That's Changing AI Workflows
Caveman Claude: The Token-Cutting Skill That's Changing AI Workflows Meta Description: Discover the Claude Code skill that makes Claude talk like a caveman, cutting token use dramatically. Save money and speed up AI workflows with this clever technique. TL;DR: A creative Claude Code custom skill forces Claude to respond in ultra-compressed "caveman speak" — stripping out filler words, pleasantries, and verbose explanations. The result? Responses that use significantly fewer tokens while still conveying the essential information. It's quirky, it's effective, and developers are using it to slash API costs and speed up their AI pipelines. The Problem With AI That Talks Too Much If you've spent any real time working with Claude through the API or Claude Code, you've noticed something: the mode
The Bottleneck Was the Feature
Mario Zechner — the creator of libGDX, one of the most widely-used Java game frameworks — recently published "Thoughts on slowing the fuck down" . His argument: autonomous coding agents aren't just fast, they're compounding errors without learning . Human developers have natural bottlenecks — typing speed, comprehension time, fatigue — that cap how much damage any one person can do in a day. Agents remove those bottlenecks. Errors scale linearly with output. He names the pattern Merchants of Learned Complexity : agents extract architecture patterns from training data, but training data contains every bad abstraction humanity has ever written. The default output trends toward the median of all code. And because agents have limited context windows, they can't see the whole system — so they r
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