Anthropic engineer: “Anthropic hired me at $350K–$950K because I know how to build harnesses. 99% of people still hand-roll multi-agent systems and wonder why they break. I build systems that run loops + sandbox tools + turn yesterday’s logs into new skills — same model, 10x more reliable agents that keep improving overnight.” Opus 5.5 → Agents → Harness → Loops → Graphs In a short workshop, he shows exactly how to build one from scratch. step 1 → harness handles loops, context, and sandboxing step 2 → brain and hands separated — 60% faster to first token step 3 → runs server-side, resumes from the log after crashes step 4 → failure is cheap — retry and replay instead of starting over step 5 → yesterday’s logs become new memory — the system wakes up smarter Anthropic calls this “dreaming”. Most people spend weeks building this by hand. You don’t have to. Bookmark and watch it.

Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now? 1. Programming will be the first to be eliminated. AI is already writing code, debugging errors, and building applications. The shift toward automating entire software engineering workflows is already underway. Learning to code just to secure your job may no longer be enough. 2. Even if you only do 5% of the work, it still has value. AI handles 95% of the work, and you handle the remaining 5%. Your productivity could increase dramatically. Knowing how to direct AI and make the right decisions is becoming more valuable than doing everything yourself. 3. The most promising careers are human-centered. Careers that combine human interaction, real-world expertise, and analytical thinking could have an advantage. Healthcare, robotics, and other fields that require judgment and human understanding are worth watching. 4. Critical thinking may be the most important skill in the next decade. AI can generate convincing answers, but convincing doesn't always mean correct. The ability to question information, verify facts, and make independent decisions will become increasingly valuable. 5. If you don't use AI well, it will make you dumber. Relying on AI for every answer without understanding the reasoning can weaken your ability to solve problems independently. The goal isn't just to get work done faster. It's to use AI while continuing to build your own skills. 6. He's bullish on semiconductors as capitalism's victory in the next decade. AI needs physical infrastructure to scale. Chips, computing power, energy, and advanced manufacturing could create major opportunities. The next wave of AI growth won't be limited to software.

list of 15 best AI researchers on X: @karpathy — Andrej Karpathy @rasbt — Sebastian Raschka @AndrewYNg — Andrew Ng @drfeifei — Fei-Fei Li @demishassabis — Demis Hassabis @GaryMarcus — Gary Marcus @DAIEvolutionHub — Latest AI tools @maximelabonne — Maxime Labonne @chipro — Chip Huyen @ilyasut — Ilya Sutskever @thsottiaux — Thibault "Tibo" Sottiaux @bcherny — Boris Cherny @geoffreyhinton — Geoffrey Hinton @JeffDean — Jeff Dean @fchollet — François Chollet