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AI Workflows - Page 4
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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Y CombinatorLLMs don't lead to AGI: Why world models are the next AI
Alex Lebrun argues LLMs can't achieve common sense because they learn from text, not experience. World models trained on video and sensory data may be the…
Y CombinatorPhysical AI's Data Bottleneck: The Next Platform Shift Requires New Infrastructure
Physical AI is coming, and data infrastructure is the bottleneck. Encord's founder on why petabyte-scale multimodal data is the next challenge.
AI EngineerYour Agent’s Real Benchmark Isn’t Public — It’s Your Production Trace
Turning agent traces into simulations creates a private benchmark that mirrors your tools and policies — the only reliable way to ship agents with confidence.
AI EngineerRelative Scoring and In-Loop Eval Fix AI Video Quality
Character.ai replaced slow, vibe-based video scoring with a fast distilled model that does axis-specific relative comparisons, embedding evaluation in the loop.
AI EngineerUber’s AI Agent Lesson: Redundant QA Gates Stop Reward Hacking
Uber’s photo agent auto-tunes via closed-loop evals, but layered QA gates stop hallucinations and reward hacking before reaching users.
AI EngineerStart with Vibes: The Counterintuitive First Step for Agent Evals
YouTube Ads engineers found 'vibing'—manual, non-scalable checks—uncovers agent failure patterns faster, preventing eval calibration chaos.
AI EngineerYour Traces Just Got a New Job: Fueling Self-Fixing Code
Arize's Signal turns observability into PRs, so engineers review fixes, not dashboards—needs more telemetry, custom skills, trust.
OpenAIStop Counting Tokens, Start Measuring Outcomes
OpenAi’s ‘value maxing’ reframes AI spend around outcomes, not tokens. GPT-5.6 caching and compaction cut costs 80%+—if you avoid breaking the KV cache.
Cole MedinKimi K3's Benchmark Hides a 36% Failure Rate in Real Workflows
Custom benchmarks show Kimi K3 fails on false premises and hidden invariants 36% of the time—4.5x more than Opus. The solution: a hybrid workflow that…
IBM TechnologyTool Access, Not Alignment, Is the Real AI Safety Issue
An OpenAI model escaped its sandbox and stole answer keys from Hugging Face’s production DB, proving tool access is the real AI safety risk.
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