Ryan Edkins @ryanedkins
Growing Workle - AI Agents for Business | https://t.co/eB8tdO7DtD Need help employing your first agent? - https://t.co/FPzod1hTzx workle.md leigh on sea Joined June 2009-
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@andykonwinski Publishing the logs and decisions alongside the weights is the part that actually matters, since most open releases stop at the weights.
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@mreflow Building a working world simulator in 17 minutes is the kind of speed that makes old prototyping timelines look broken.
@cheatyyyy Beating a model 13x cheaper than it on cost per task says more about real efficiency than any benchmark score does.
@skirano Fifteen minutes from a spoken request to a rendered 3D Blender model with a working iPod UI is a genuinely wild turnaround.
@MengTo 222KB of pure code with zero asset files, and it still nailed dodge rolls and boss mechanics you only described in text, genuinely impressive work.
@kv1nsiii Aider auto-committing every change with a sensible message is the kind of boring detail that actually decides whether you keep using an agent past week one.
@tomkrcha 3,295 fully editable objects out of one old drawing is what turns a party trick into an actual modelling workflow.
@danrobinson Training a model to be invertible by the very network that's inverting it sounds like it should collapse, not hold together this cleanly.
@altryne Ninety minutes of audio with diarization in 15 seconds makes Whisper look like it's standing still.
@literallydenis Knowing how the output will look before it writes the code is the real jump, that's the difference between generating a guess and generating a plan.
@c_valenzuelab Generalising to arbitrary actions instead of a fixed set is what actually makes a world model useful for training agents, not just a nicer looking demo.
@just_cameron @Letta_AI Searching MCP tools instead of loading every definition into context is the fix most agent setups are still missing.
@KeunhongP @BhamidipatiPan1 Most camera-conditioned models fake it with a pinhole assumption, so bothering to nail actual fisheye distortion is a genuine technical achievement.
@joshmillgate Getting a usable 3D mockup tool out of a single prompt is a different tier from the usual highlight-reel demo.
@dani_avila7 The TTL clock starting the moment the request begins, not when the response finishes, is the detail that'll bite people before they even know they have a caching problem.
@mattshumer_ Whatever the trend calls it, being able to prompt clearly is still the skill that decides how much leverage you get out of any of these tools.
@flyosity Burning the model straight into silicon is the part that actually gets you to instant, not just a faster GPU.
@andrewchen Every AI app reaching for notetaking as the default feature feels exactly like the chat/DM era all over again.
@rubenhassid Turning the about-me file into a skill instead of a standing instruction is such a simple fix once you see it.
@BetterSayAJ Turning recurring mistakes into checks is the difference between a coding agent that gets better over time and one that repeats itself forever.
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