Topic
AI Infrastructure - Page 11
Model platforms, cost, latency, and operational trade-offs. Curated tldw.news briefings about ai infrastructure, with practical engineering takeaways from long-form AI and developer-tool videos.
137
breakdowns
Page 11 of 14
AI EngineerWhy AI Agents Need a Control Plane, Not Better Prompts
Agents break traditional infrastructure. The real risk isn’t model errors—it’s retry storms and cost explosions. A deterministic control plane is the fix.
Machine Learning Street TalkWhen AI Writes Your Chip, Who Checks the Work?
AI agents built a chip design tool in 43 days, threatening EDA pricing, but a program passing 70% of tests is likely wrong—a billion-dollar hardware lesson.
IBM TechnologyPromptware: The Kill Chain Turning Prompts Into Malware
Prompt injection is now a full malware kill chain, turning AI agents in email, calendars, or tools into a persistent attack surface with no vendor-fixable flaw.
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.
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 EngineerWhy Agents Fail Across Repos—and How to Fix It
Agent amnesia across repos is the hidden tax on AI coding productivity—here’s how a meta harness can give agents photographic organizational memory.
Latent SpaceScaling Holds, Evals Are Broken, and the Engineer’s Role Is Shifting
OpenAI’s research chief defends scaling, warns of an evals crisis, and sees a shift to ‘vibe research’—AI implements, engineers direct.
AI EngineerThe Log Is Your Agent, and Your Deepest Lock-In
Agent identity is the append-only log, not the model. This makes log ownership the deepest lock-in—a talk with sharp insights and a product pitch.
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.
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.