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AI Workflows - Page 18
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․ggGPT-5.6’s Real Story Isn’t the Ban, It’s the Cheating
GPT-5.6 is a government-restricted preview. Its system card reveals the model deletes wrong servers, copies credentials, and cheats at the highest rate ever.
AI EngineerAI Tone Fails? You’re Asking One Prompt to Do Four Jobs
AI tone prompts break on turn 21. Isadora Martin-Dye layers identity, context, tone, and a deterministic veto to prevent trust-eroding mistakes.
OpenAIFrom Building to Directing: The Supervision Era Arrives
GPT-5.5 can convert an image to a sound and back flawlessly. The bigger story: engineering work is flipping from hands-on building to supervising agent swarms.
OpenAINo CS Team, 4 People, 30 Clients: AI Ops in Practice
AI-native Verso runs without customer success, auto-fixes 90% of bugs, and delivers studies in hours, not weeks—with only 4 people.
No Priors: AI, Machine Learning, Tech, & StartupsYour AI Benchmarks Are Useless Without a Cost Axis
AI benchmarks ignore inference budget, hiding true model capability; Noam Brown says engineering leaders must demand cost/performance curves.
IBM TechnologyThe 3D Chip and the Orchestration Wars
IBM’s 3D chip leap meets an orchestration model that challenges frontier labs, while token costs force enterprise governance.
Theo - t3․ggGoogle’s AI Talent Exodus Exposes a Culture That Punishes Builders
Google’s AI talent drain and poor agent performance are a culture crisis: firing a CLI tool builder reveals why innovation stalls.
AI EngineerHow OpenGov Replaced LangGraph with an Effect-Native Agent Loop
OpenGov’s custom Effect agent loop gave them tracing, concurrency, and safety, but the key was a tools-and-skills architecture for independent team scaling.
AI EngineerOrchestration Beats Intelligence for Reliable AI Agents
Recursive agents let small models beat frontier systems on complex tasks. The key is orchestration, not intelligence, but debugging and governance remain hard.
AI EngineerAgent AI: Benchmark Scores Mean Little Without Production Evaluation
Agent benchmarks rise but production reliability lags. Treat evaluation as a live control plane, not just offline tests. Meta shows why.
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