Topic
AI Workflows - Page 16
How engineering teams turn AI tools into repeatable work. Curated tldw.news briefings about ai workflows, with practical engineering takeaways from long-form AI and developer-tool videos.
376
breakdowns
Page 16 of 38
OpenAIAI doesn't replace geneticists—it makes them faster at rare disease diagnosis
OpenAI and Boston Children's Hospital used an LLM to reanalyze 376 unsolved rare disease cases, finding 18 new diagnoses. The model accelerates variant…
Theo - t3․ggAI Agents Couldn't Fix a Tailwind Bug That a Human Solved in
A web app consumed 50% GPU due to a Tailwind class. Two AI agents failed to find it. The human who solved it explains why experience still beats models.
Weights & BiasesFireworks CEO: Specialized AI, Not General, Wins Enterprise
Fireworks CEO claims 40T daily tokens, surpassing OpenAI. But the real signal for leaders: AI's future is specialized, cost-controlled, and built on private…
Y CombinatorThe brutal engineering reality behind Waymo's 15-year path to production
Waymo's Co-CEO explains why getting to 90% performance takes 18 months, but getting to 99.999% takes 15 years—and what engineering leaders can learn about…
Latent SpaceYour inference stack is now writing its own GPU kernels
Baseten's GLM52 is writing its own GPU kernels in production. This shifts inference from static optimization to a continuous learning loop. The bottleneck is…
Theo - t3․ggLinus Torvalds just made AI adoption a leadership mandate in open source
Linus Torvalds endorses AI in the Linux kernel, rejecting anti-LLM stances. Sashiko's AI review catches 53% of bugs humans missed. The implications for open…
AI EngineerMCP Apps: AI assistants take control of your product UI
MCP Apps lets AI chats render live, branded UI from any service—but it shifts user-journey control to hosts. Engineering teams need to assess the tradeoffs.
AI EngineerWhy agents can't yet handle durable async workflows—and what's changing
MCP tasks enable async agent workflows with human-in-the-loop, but the spec is still immature. V2 simplifies the protocol, but scalability challenges remain.
David OndrejStop reviewing AI code. Audit the agent's decisions.
A viral skills repo for AI agents surfaces two practices worth stealing: hook-level safety and decision reviews. The rest is self-promotion.
AI EngineerBenchmarks Are Lying: The Real Cost of Benchmaxxing
Benchmark scores are being gamed, and engineering leaders keep trusting them. The fix: build your own task-specific evals with human judgment before betting…
Get TL;DW
Too Long; Didn't Watch.
A concise breakdowns of the AI and devtools videos that actually matter for engineering leaders.
Free. Weekly. No hype.