Artificial intelligence, sunshine, and long walks.
San Francisco, CA
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Cameron retweeted
If you're looking for some entertainment today, I present this Lobsters thread without any additional commentary. 🤠lobste.rs/s/lt44rt/introduci…
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Throwback to the Waffler, a Halloween outfit I wore like 5-6 years in a row.
I would give people waffles and not say anything, then also just kind of creepily walk around town.
ALT A figure wearing a mask stands inside a dimly lit room, visible through a window, creating an eerie Halloween atmosphere.
ALT A figure in a long black coat and hat stands ominously under a streetlight in a dark parking lot, holding an object.
ALT A person in a dark outfit and a striking mask sits in a chair, illuminated by a lamp, in a cozy interior space.
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I am a big fan of @tangled_org and use them for most of my personal projects.
Highly recommend tg for your coding agent:
tangled.org/aly.codes/tg
We spent the last few months building the first ever truly federated code forge. Tangled is self-hostable, hackable & extensible.
The future of software engineering is a moving target -- our bet on open protocols gives us the agility to move with it.
tangled.org/blog/forge
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Cameron retweeted
Anthropic will make ~1,000 employees worth +$100m at $2 trillion market cap.
There's ~11,000 Americans with $100m in investable assets.
So something like 1 in 12 Americans with $100m (liquid) will be from Anthropic. If you add in Openai, maybe 1 in 7.
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Cameron retweeted
Wake up, sheeple. Your code forge for the next decade is here.
tangled.org/blog/forge
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Now that I'm unemployed I can do the thing I've always wanted to do, which is eat silica gel packets
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This is Oliver, my mom's weird cat.
We can now be friends thanks to my year+ of immunotherapy.
ALT A man smiles while holding a gray cat with white markings, both appearing relaxed in a cozy indoor setting.
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Cool
I've always believed that intelligence should come from simple, general building blocks that learn their own abstractions directly from raw data; in other words, the bitter lesson. I think we're finally seeing a real step towards AI that can learn from all data.
Language modeling on raw bytes is a microcosm of this ideal, and to me it's a central problem in AI: if we can't build LLMs that learn end-to-end from bytes, how will we handle the rest of the world's data that we understand even less?
Last year we introduced hierarchical networks (H-Nets) as a first step. Our new version finds up to 3-5x efficiency gains in controlled scaling law experiments, and at larger scale matches an open-source model trained on 11T tokens with ~10x less data and compute. The posts below walk through what we found and why we think it works.
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I adore this piece
The people of Silicon Valley are unwell.
If you work at a frontier lab or decacorn, you’ve got it bad. You haven’t seen your kids, your girlfriend’s annoyed, invites from friends to hang out are waning, even weddings are on hold. This is the time to make your mark and make your money, after all.
If you’re building a startup that’s trying to compete with or be one of these companies, you’ve got it bad. Maybe you passed up a job offer at one a couple years back, which means you left $100M on the table, you fucking idiot. Being an underdog isn't as fun as you thought.
If you’re working on a pre-AI startup, you’ve got it bad. Not too long ago you were the belle of the ball, but now your 30% year-on-year growth doesn’t feel like growth at all. It feels like death.
"Too many of my friends are spiraling," Brie Wolfson writes. "I don’t know how we’re supposed to live and work like this."
It’s all too much, too fast. Too much money, too much growth, too much power, too much change. Every month, a new frontier model is released. Every day, a new unicorn is minted. Seriously. 300 days into the year 2026, and 311 unicorns have been minted so far.
So what’s left for the sane ones? Brie went looking for teams playing a different game. She found one in Ottawa: a search infrastructure company that many of the AI darlings rely on.
It's growing fast, and its people are well.
Read @zebriez’s latest company dispatch from inside the sane asylum of turbopuffer.
colossus.com/article/sane-as…
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Cameron retweeted
The people of Silicon Valley are unwell.
If you work at a frontier lab or decacorn, you’ve got it bad. You haven’t seen your kids, your girlfriend’s annoyed, invites from friends to hang out are waning, even weddings are on hold. This is the time to make your mark and make your money, after all.
If you’re building a startup that’s trying to compete with or be one of these companies, you’ve got it bad. Maybe you passed up a job offer at one a couple years back, which means you left $100M on the table, you fucking idiot. Being an underdog isn't as fun as you thought.
If you’re working on a pre-AI startup, you’ve got it bad. Not too long ago you were the belle of the ball, but now your 30% year-on-year growth doesn’t feel like growth at all. It feels like death.
"Too many of my friends are spiraling," Brie Wolfson writes. "I don’t know how we’re supposed to live and work like this."
It’s all too much, too fast. Too much money, too much growth, too much power, too much change. Every month, a new frontier model is released. Every day, a new unicorn is minted. Seriously. 300 days into the year 2026, and 311 unicorns have been minted so far.
So what’s left for the sane ones? Brie went looking for teams playing a different game. She found one in Ottawa: a search infrastructure company that many of the AI darlings rely on.
It's growing fast, and its people are well.
Read @zebriez’s latest company dispatch from inside the sane asylum of turbopuffer.
colossus.com/article/sane-as…
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