when was the last time you did something for the first time? | failed founder 1x
Seattle, WA
Joined January 2008
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.. 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…
Does anyone have an recomendation for an @ElevenLabs setup with Claude or other but with some tool usage using adobe after effects or similar for text etc?
Just ElevenLabs is very expensive
$10B idea
AI Slop detector, not made by AI detector but look at slides/doc + content from meeting and detect AI slop vs value
Can’t wait to try this out ! If you have please share
- do I need to create new vaults?
- do I need to share?
Today we announce 1Password for Agents platform, building with companies @Muse, SpaceX Super Intelligence Grok @Bot, @AnthropicAI’s @Claudeai, @OpenAI, @TownAI, @Browserbase, @Browser_use, @heydana_ai, Instinct, @usekernel, @Perplexity_ai, @tryramp, @Tomo, and @wajo_ai, with more integrations on the way. 🎉
We've heard from so many of our customers who want to use these new personal AI agents to help them get more done, but want more control over what the agent can access with the same trust and ease of use they get when using 1Password directly.
1Password for Agents gives your agents access without giving up your passwords. When an agent reaches a sign-in form, it requests a credential from your vault. If you approve the request, 1Password directly auto-fills the credential in the destination site so the agent can’t see or take possession of the credentials.
The agent gets the task done, but it doesn’t get your passwords..
You stay in control. 1Password for Agents free and optional for personal and family accounts. Unless you opt-in to an agent connector, agents cannot touch your vault.
➡️Learn more: bit.ly/487da6J
Yatharth retweeted
holy f*ck, an ex-Apple engineer who spent 6 years building the Apple Watch just quit to build the most advanced AI health agent.
it reads your smartwatch and health data and knows a migraine is coming before you do.
then it books the doctor, sorts your meds and deals with insurance.
this is exactly how I imagined the future, more info below:
🤝 Paid partnership
I left @Apple to build healthcare that listens and acts early. Today, I'm excited to introduce UniqueHuman.
We're building proactive healthcare agents that handle every step of care for people with chronic conditions.
Our mission is to end chronic suffering. Today, we begin with migraines.
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…
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…
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.
.. 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
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