A lesson I’ve learned from large “everything to everyone” data projects is these kinds of systems are easy to deploy, but a slog to get everything integrated. Success is gonna hinge on the ability to get everything wired up. www.anthropic.com/news/introdu...
launchit.ai
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I've never seen something so accurately describe in me in such an annoying way. via: bambamramfan.github.io/ai-compass/
They changed their tune on this a lot quicker than I would have thought: www.wired.com/story/anthro...
Orca looks super cool! It's got a bunch of IDE like features, but is primarily about managing agent sessions. You can even match between diff harnesses (claude code, codex, etc), "if it runs in a terminal, it runs in Orca." github.com/stablyai/orca
Recent commentary
I want more bread and butter AI coding content. Less “AI the ${Savior|Enemy}” and more “With 12 features in flight at once, how do I run 12 copies of my app locally?”.
I’ve fallen into a pattern of ChatGPT for serious business tasks (eg - writing engagement proposals), and Claude for fun development work at night. Naturally I refer to this as the Mullet Stack. Business in the front, party in the back, and all that.
I like to think the Anthropic’s Fable nomenclature is a subtle jab at OpenAI for the whole goblin thing.
“My nephew went through something similar. He adored dinosaurs but couldn't tolerate dinosaur movies because the roaring and chase scenes were too much.“ No biggie, just ChatGPT hallucinating having a nephew.
My favorite AI powered feature is that Google Docs learned my 1:1 schedule, and my notes doc for my next 1:1 always shows up on the landing page.
TFW the AI summary is just *slightly* off
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