Really, @columbiasport - you don’t even have the @columbia Twitter handle. Did you actually think anyone would mistake shoddy outdoor wear for a fine university?
What a great time to suggest that people start raising chickens in their backyards desertsun.com/story/news/nat…
Welcome to the new war on Christmas nytimes.com/2025/04/29/busin… #tariffs
I guess @cnn will also be forced to report this, @bennyjohnson
I don’t get it. Are you not a capitalist? Isn’t the market just a big information machine that drives the price mechanism and sorts winners and losers?
Are you saying we would be better off if the administration made those decisions and planned the economy?
David Moon retweeted
Time to re-up Milton Friedman and the making of a pencil…
teapawt.org/KingLibertarian/status…
Poor @levie — he was booked in cnbc to talk about his developments with ai agents, but the hosts zeroed in on his talks with enterprise ceos about tariffs. Proud of him for not shrinking from the discussion and calling out how damaging trumps tariffs are, unlike @BizRoundtable
We are living in a timeline where a non-US company is keeping the original mission of OpenAI alive - truly open, frontier research that empowers all. It makes no sense. The most entertaining outcome is the most likely.
DeepSeek-R1 not only open-sources a barrage of models but also spills all the training secrets. They are perhaps the first OSS project that shows major, sustained growth of an RL flywheel.
Impact can be done by "ASI achieved internally" or mythical names like "Project Strawberry".
Impact can also be done by simply dumping the raw algorithms and matplotlib learning curves.
I'm reading the paper:
> Purely driven by RL, no SFT at all ("cold start"). Reminiscent of AlphaZero - master Go, Shogi, and Chess from scratch, without imitating human grandmaster moves first. This is the most significant takeaway from the paper.
> Use groundtruth rewards computed by hardcoded rules. Avoid any learned reward models that RL can easily hack against.
> Thinking time of the model steadily increases as training proceeds - this is not pre-programmed, but an emergent property!
> Emergence of self-reflection and exploration behaviors.
> GRPO instead of PPO: it removes the critic net from PPO and uses the average reward of multiple samples instead. Simple method to reduce memory use. Note that GRPO was also invented by DeepSeek in Feb 2024 ... what a cracked team.
Democracy is the theory that the common people know what they want, and deserve to get it good and hard.
The aggressor is always peace-loving (as Bonaparte always claimed to be); he would prefer to take over our country unopposed.
—Carl von Clausewitz, On War
David Moon retweeted
“Eat the Cat” is now a track
Who’s gonna do a mashup with “Fell out of a Coconut Tree”?
Next level trolling
Sen. @ewarren: Trust Donald Trump and JD Vance to look after your family? Shoot, I wouldn't trust them to move my couch














