when was the last time you did something for the first time? | failed founder 1x

Seattle, WA
Joined January 2008
Pinned Tweet
.. trained GPT-2 from scratch, kept all 32 checkpoints, and asked each “Who painted the Mona Lisa?” Step 0: gibberish Step 6k: “a very beautiful painting” Final: “Leonardo da Vinci… in the early 14th century” 😅 Built on @karpathy’s recipe. Ask yours: app.train.galvyn.xyz
When does a language model learn that water 💧 is a liquid I'm training GPT-2 (124M) live on one @nvidia RTX A5000 to learn. It's my 🏌️‍♂️ simulator :) Every step, watt and checkpoint is public, and you can talk to any checkpoint. app.train.galvyn.xyz/experim…
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When does a language model learn that water 💧 is a liquid I'm training GPT-2 (124M) live on one @nvidia RTX A5000 to learn. It's my 🏌️‍♂️ simulator :) Every step, watt and checkpoint is public, and you can talk to any checkpoint. app.train.galvyn.xyz/experim…
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🚀🚀🚀 First Checkpoint done !
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Got tired of waiting Same model, same 10B tokens, two machines, both live: 🏠 1× RTX A5000 under my desk: ~55 hours, ~$2 of electricity ☁️ 8× H100 rented on @googlecloud : ~40 minutes, ~$60–80 Watch both train: ( & both have playgrounds to ask Qs) Golf Sim - app.train.galvyn.xyz/experim… H100 - app.train.galvyn.xyz/experim…
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Touch the grass | Last of the PNW ☀️
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Tell me I am wrong the Original Sin of large cos & why startups exist - reward leadership for the narrative, managers for scope, ICs for output. nobody gets rewarded for the customer because that is everyone’s job.
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.. unlike steve .. this guys could use some market research, I mean the first 10 meetings would do it Amazing h/w with shit s/w - I have never seen this
sonos continues to be relentlessly maximum disappointing software
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One of the best episodes ! Connects something that you can try to what it takes to make it happen after listening to this it seems like Capital. Energy, GPUs & most important the appetite to take the bet is the new moat
Cheeky Pint is back! Mark Zuckerberg @finkd and Alexandr Wang @alexandr_wang came to the pub to discuss their new frontier model, Muse Wonder. 00:00:24 Muse’s breakout use cases 00:07:28 The model is the product 00:14:35 Muse Wonder 00:24:56 How frontier models are built 00:48:26 Betting $100B 01:07:21 Agentic commerce 01:19:34 OpenRouter 01:20:06 Beyond the smartphone 01:27:00 Funding 01:34:06 Why AI won’t be winner-take-all 01:40:46 Meta Superintelligence Labs (MSL) 02:08:11 Working for Mark Zuckerberg
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.. tough loss @Seahawks, 🟢🔵🟢🔵🔵
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Is there a website where I can learn about about all the candidates on the WA ballot this November and where they stand on taxes
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It’s October in Seattle #WAWX
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Here is an idea - a job marketplace for agents, post jobs to be done & agents can apply to these .. agents also need to submit som evals
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SaaS App and agent builders - for sign/in - reading calendar and email Do you have to do the manual flow for google/microsoft oauth setup, seems like none of the coding agents will even click the browser for me What is the best way to achieve this?
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Hey @elonmusk & team .. amazing grok bot is missing a health connector, can you please connect @HealthEx_io I am driving and I need by @bot to tell me when was my previous doc appointment
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view today was 💯
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that is way to do it 🔥
Replying to @steipete
Ack, will follow up
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