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AI Workflows - Page 38
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.
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AI EngineerThe RLHF Trap: Why AI Is Great at Chat but Terrible at
RLHF made AI great at conversation but terrible at automation. A former OpenAI researcher explains why, and what engineering leaders should do about it.
AI EngineerPost-training shifts from synthetic environments to messy production learning
Post-training is moving from synthetic environments to real production harnesses. The tradeoff: controlled RL vs. messy but realistic learning. Reward…
Google for DevelopersDexterous manipulation is the bottleneck for general-purpose robots
Google DeepMind's Gemini Robotics 2 tackles dexterous manipulation—the unsolved bottleneck for general-purpose robots. Data scarcity, hardware limits, and…
No Priors: AI, Machine Learning, Tech, & StartupsAI Generating $600M in Real-World Revenue: The Boring Vertical Playbook
Netice CEO on generating $600M in customer value through vertical AI for essential services. Most teams chase coding agents; the real revenue is in plumbing…
AI EngineerMiniMax M3 shows open-source models catching frontier labs on agentic tasks
MiniMax M3 is multimodal from scratch. Together AI handles the messy inference optimization. Here's what engineering leaders need to know about deploying…
Y CombinatorJeff Dean: Agent reliability is a systems problem, not a model problem
Jeff Dean argues agent reliability is a systems engineering problem, not a model quality one. The 1% rule for startups: pick problems where models fail…
AI EngineerAI That Optimizes Its Own Kernels: Real Progress or Hype?
Recursive AI claims their system outpaced human experts on CUDA kernel optimization. But the line between automated research and recursive self-improvement…
InfoQGraphRAG reveals the hard truth: agents are only as smart as your
GraphRAG pipelines bring persistence to retrieval, but the critical insight is that agents orchestrate reasoners, not intelligence. Without clean data and…
AI EngineerAI products fail the memo test. Build for trust, not demos.
An investment committee veteran explains why AI finance products built for 5-minute demos fail when real money watches. The fix is honest plumbing, not…
AI EngineerWhy AI agents need your existing event store, not a new architecture
Examines how AI agents integrate with event-sourced architectures for fraud detection. A tiered approach uses existing systems for clear cases and agents for…
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