We like to move fast and break things, we are working to see how @CyreneAI can help us push that envelope.

Braintrust solutions engineer: "The best LLMs don't always guarantee consistent performance" That sentence is why a prompt edit needs tests before the edited prompt answers real user requests A playground run can look better while the same prompt lowers quality on messy inputs The workshop shows the minimum eval loop: task, dataset, score, offline testing, online logs, human review The article below maps the same point to retrieval, hallucination checks, versioning, and prompt-change regression tests Watch the workshop, then read the article before the next prompt edit ships without a regression test

A person reading a sentence aloud tells you how they pronounce words. A real conversation tells you much more. It reveals how people naturally respond, pause, interrupt, emphasize ideas, change tone, and adapt their language based on context. That difference matters. For AI to move beyond recognizing speech toward understanding how language is actually used, it needs exposure to authentic communication - not just isolated recordings. This is one of the ideas reflected in @_dialectra approach to building speech datasets. By collecting and refining language from real speakers through structured processes, the goal is not simply to preserve words, but to capture language as it exists in everyday life. Because language isn't experienced one sentence at a time. It's experienced through conversations.

You can't just connect Claude Code to an enterprise system and have it do everything for you. Not only is everything fragile, esp. to give control to AI, but it's a complex mishmash of UIs and databases all over the place. You need people in the loop. Long $CTSH $ACN

OpenAI is so fucking far behind Anthropic it's not even funny anymore they have to train larger models asap

One thing we don't talk about enough is how much information gets packed into a doctor's appointment. You're trying to explain your symptoms, listen carefully, ask the right questions, remember medication changes, understand test results, and think about what comes next all within 15 or 20 minutes. Then you leave and realize you've already forgotten half of what was said. I think that's a much bigger problem than people realize. AI Doctor Notes is built around that exact moment build by @dreamlabsolutn Instead of trying to replace your doctor, it helps you capture the conversation, turns it into clear, plain-language notes, and highlights the important follow-ups while everything is still fresh. What I appreciate is that the goal isn't to diagnose you or give medical advice. It's to help you remember, stay organized, and make future appointments less overwhelming. I can also see why this would be valuable for caregivers or parents managing appointments for someone else. Medical information often gets passed around through memory, and memory isn't always reliable. Sometimes the most useful technology isn't the one making decisions for us. It's the one that helps us make better decisions by remembering what matters.