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Congrats to Navier AI on their $5.6M seed! Engineering has undergone two major shifts: CAD replaced manual drafting (1960s), then simulation enabled virtual testing (1990s). Navier introduces the third: Agent-Driven Engineering (ADE). Their AI agents automate repetitive workflows between design and engineering, enabling teams to triple output and compress... show more

Y Combinator

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“Companies that are surging ahead aren’t running pilots. They build their foundations early and are scaling enterprise wide. The gap is widening.” Advanced AI Delivery Lead Tracy Venable reveals how Accenture and Palantir are working together to transform enterprise consulting—operationalizing decades of expertise through AI agents that compress ERP migrations from months to weeks, deliver business value from day one, and enable every engagement to build on institutional knowledge accumulated across thousands of deployments.

“Companies that are surging ahead aren’t running pilots. They build their foundations early and are scaling enterprise wide. The gap is widening.” Advanced AI Delivery Lead Tracy Venable reveals how Accenture and Palantir are working together to transform enterprise consulting—operationalizing decades of expertise through AI agents that compress ERP migrations from months to weeks, deliver business value from day one, and enable every engagement to build on institutional knowledge accumulated across thousands of deployments.

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Anthropic just released 5 Claude workshops on the new skill every AI builder needs: Loop Engineering: 00:00 - Stop babysitting your agents 37:07 - Build a proactive Claude Code loop 1:11:23 - Build a production-ready Managed Agent 1:38:46 - Teach agents to learn from your team 2:07:15 - Hill-climb your agent with eval loops It is a 2 hour and 25 minute blueprint for Loop Engineering: proactive workflows, managed agents, team feedback, evals, and self-improvement. Watch it today, and read the article below to improve your skills with Fable 5.

Alex

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Theta (Theta) allows AI agents to learn from their mistakes in real-time. Their memory layer has already improved the accuracy of OpenAI Operator by 43% with 7x fewer steps taken. Congrats on the launch, Rayan Garg, tanmay sharma, and Gurvir Singh!

Theta (Theta) allows AI agents to learn from their mistakes in real-time. Their memory layer has already improved the accuracy of OpenAI Operator by 43% with 7x fewer steps taken. Congrats on the launch, Rayan Garg, tanmay sharma, and Gurvir Singh!

Y Combinator

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King

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We just raised a $75M Series B to *finally* automate AML/KYC with AI agents. KYC/AML software has been around for a long time. Bretton AI is different: - Autonomous browsing: agents hop between multiple tools to complete reviews without the need for a massive engineering lift for the bank - Long Horizon Agents: our agents complete iterative, complex reviews that take humans hours to complete - Bank-grade model risk management: built for regulators, internal audit and third-party reviews It's why companies like Robinhood, Lead Bank and Gusto use us to scale efficiently and deliver great customer experiences. Our Series B is led by Rajeev Dham and Sapphire Ventures , with participation from Greylock, Y Combinator, Thomson Reuters Ventures, Canvas Ventures and TIAA Ventures. 3 years ago, this company was just a dream. Now I get to work with 40 of the smartest, hardest working poeple I’ve ever met to solve big problems at the heart of finance. I'm pumped for the future! Now back to building.

We just raised a $75M Series B to finally automate AML/KYC with AI agents. KYC/AML software has been around for a long time. Bretton AI is different: - Autonomous browsing: agents hop between multiple tools to complete reviews without the need for a massive engineering lift for the bank - Long Horizon Agents: our agents complete iterative, complex reviews that take humans hours to complete - Bank-grade model risk management: built for regulators, internal audit and third-party reviews It's why companies like Robinhood, Lead Bank and Gusto use us to scale efficiently and deliver great customer experiences. Our Series B is led by Rajeev Dham and Sapphire Ventures , with participation from Greylock, Y Combinator, Thomson Reuters Ventures, Canvas Ventures and TIAA Ventures. 3 years ago, this company was just a dream. Now I get to work with 40 of the smartest, hardest working poeple I’ve ever met to solve big problems at the heart of finance. I'm pumped for the future! Now back to building.

Will Lawrence

93,716 görüntüleme • 5 ay önce

My friend applied to 200 tech jobs in two years. No MIT. No Stanford. Last month Anthropic offered him $750,000. I asked him how he broke in from zero. He sent me the exact video that got him in. Anthropic's 2 hour course on "How to become an AI engineer in 2026" Their core team shows exactly how to architect & build AI agents from scratch. I watched it last night. Halfway through, I realized I could break into an AI lab in weeks, not years. Bookmark this and read the article below. • 00:00 - AI agents with graph engineering • 06:41 - AI agent architecture • 14:31 - building AI agent loops live • 1:15:24 - AI agentic RAG • 2:20:42 - Anthropic interview process

My friend applied to 200 tech jobs in two years. No MIT. No Stanford. Last month Anthropic offered him $750,000. I asked him how he broke in from zero. He sent me the exact video that got him in. Anthropic's 2 hour course on "How to become an AI engineer in 2026" Their core team shows exactly how to architect & build AI agents from scratch. I watched it last night. Halfway through, I realized I could break into an AI lab in weeks, not years. Bookmark this and read the article below. • 00:00 - AI agents with graph engineering • 06:41 - AI agent architecture • 14:31 - building AI agent loops live • 1:15:24 - AI agentic RAG • 2:20:42 - Anthropic interview process

Roan

131,310 görüntüleme • 4 gün önce

AI designs functional hardware! 🔧 Claude Opus 4.7 is leading CAD benchmarks, and AI is starting to design functional hardware autonomously. The shift happening: CAD as a tool → CAD as an autonomous system. The model didn't just sketch geometry, it generated mechanically valid designs with joints and motion constraints. It optimized for real-world functionality, not just visual correctness like earlier LLMs. This mirrors what happened in coding last year. In software, engineers moved toward requirements, architecture, and orchestration while code became the compiled outcome of AI systems. Mechanical engineering may follow the same path: from designing parts → defining intent. This changes the role of engineering teams. Instead of manually designing every component, engineers will define constraints, validate outputs, and focus on system-level architecture. Engineers spend less time on geometry and more time on optimization and integration. AI handles the mechanical validity checks that traditionally required experienced designers. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

AI designs functional hardware! 🔧 Claude Opus 4.7 is leading CAD benchmarks, and AI is starting to design functional hardware autonomously. The shift happening: CAD as a tool → CAD as an autonomous system. The model didn't just sketch geometry, it generated mechanically valid designs with joints and motion constraints. It optimized for real-world functionality, not just visual correctness like earlier LLMs. This mirrors what happened in coding last year. In software, engineers moved toward requirements, architecture, and orchestration while code became the compiled outcome of AI systems. Mechanical engineering may follow the same path: from designing parts → defining intent. This changes the role of engineering teams. Instead of manually designing every component, engineers will define constraints, validate outputs, and focus on system-level architecture. Engineers spend less time on geometry and more time on optimization and integration. AI handles the mechanical validity checks that traditionally required experienced designers. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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