Shared without comment.

As an AI Engineer. Please learn >Harness engineering, not just prompt engineering >Context engineering, not just long prompts >Prompt caching vs. semantic caching tradeoffs >KV cache management, eviction, reuse, and memory pressure at scale >Prefill vs. decode latency and why they optimize differently >Continuous batching, paged attention, and throughput optimization >Speculative decoding vs. quantization vs. distillation tradeoffs >INT8, INT4, FP8, AWQ, GPTQ, and when quantization hurts quality >Structured output failures, schema validation, repair loops, and fallback chains >Function calling reliability, tool contracts, argument validation, and idempotency >Agent guardrails, loop budgets, tool budgets, and termination conditions >Model routing, graceful fallback logic, and degraded-mode UX >RAG architecture: chunking, embeddings, hybrid search, reranking, and freshness >Retrieval evals: recall, precision, grounding, attribution, and citation quality >Evals: golden sets, regression tests, adversarial tests, LLM-as-judge, and human evals >LLM observability as a first-class discipline: traces, spans, tokens, latency, errors, and drift >Cost attribution per feature, workflow, tenant, and user journey not just per model >Safety engineering: prompt injection defense, data leakage prevention, and permission boundaries >Multi-tenant isolation, cache safety, and cross-user context contamination prevention >Fine-tuning vs. in-context learning vs. RAG vs. distillation and when each is the wrong tool >Latency, quality, cost, and reliability tradeoffs across the full inference stack >Production failure modes: hallucinated tool calls, malformed JSON, stale retrieval, runaway agents, and silent eval regressions

“You know why they do that don't you...?" "Why sir?" "Because you let them.”

Well, I guess the idea that humans will have nothing valuable left to do in the age of AI is going around again, so it is a good time to repost this article

Amen

The more you complain, the greater the pain.

Don’t worry, life will give you exactly as much as you can take.

Did ChatGPT image rendering get substantially worse overnight?

Solid guidance from Leo: ncronline.org/vatican/pope-l…

The lobsters are at the gates

How long after we invent AGI will we forget how to recreate AGI?

Go slow and make things.

This is just the tip of the iceberg

This was such an important resource to me as a child.

Remember this day. January 31, 2026.

Perfect juxtaposition.

Brilliant vision of the future that is now

The plane I am on has “escape ropes” — that feels either brand new or really old fashioned. I can’t decide which.

Formerly known as known formerly.