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AI Workflows - Page 17
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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Theo - t3․ggAnthropic's AI Performance Sprint: What Engineering Leaders Should Learn
Anthropic made Claude 3x faster in two weeks using Claude itself. The approach? Measure everything, let the AI climb, and ratchet benchmarks. But the…
AI EngineerYour catalog is not ready for AI agents. Here is what to
PayPal ran experiments on how AI agents discover products. Enriched catalogs won—but over-enrichment caused hallucinations. Keyword search is dying, and most…
AI EngineerAssemblyAI's Joey: Building vs buying an AI support agent
AssemblyAI replaced a 10% resolution off-the-shelf bot with an in-house AI agent that handles 80% of tickets for $700/month. The engineering lesson is about…
AI EngineerStop Fine-Tuning Your Way Out of Bad Retrieval
Stop fine-tuning to fix retrieval problems. Use prompt for behavior, memory for facts, weights for stable patterns. Here's how to avoid the accidental…
AI Engineer12 Trillion Synthetic Tokens: The Infrastructure Lessons DatologyAI Learned
DatologyAI's 12T token synthetic data run uncovered infrastructure bottlenecks most teams ignore. Metadata listing took 11 days before batching. Here's what…
David OndrejVibe coding creates security debt; verification engineering becomes the real skill
Guillermo Rauch argues that the real bottleneck in agentic development isn't model quality—it's verification engineering. Teams need to define tradeoffs…
No Priors: AI, Machine Learning, Tech, & StartupsWhy memory bandwidth is the new battleground for AI inference chips
Fractile is building inference chips that prioritize memory bandwidth to run multi-trillion parameter models at thousands of tokens per second. The tradeoff…
IBM TechnologyModels multiply, agents go mass-market: governance is the new bottleneck.
OpenAI cancels Astra, Anthropic's Sonnet 5.5 blurs tiers, and Meta's Muse goes viral. The takeaway: AI governance is now the critical path.
Theo - t3․ggPersonal AI subs offer 40x more tokens – but at what cost?
Personal AI subs give you 40x the tokens of API for coding. But the tradeoff: account bans, proxy setup, and constant token management.
Latent SpaceStop Blaming the Model: Your Agent Harness Is the Real Problem
Alex Zhang says the bottleneck in agent reliability isn't model capability—it's boring harness design. RLMs show one way to change that.
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