My first piece for the @AmplifyPartners Writing Fellowship is out: The Fertility of an Idea
It traces the lineage of optogenetics and argues that great science grows the way living things do, across time, people, instruments, branching and borrowing, and that this should shape how we build AI for science.
I’m grateful to @dbeyer123, @madelynheart_ and @ElliotHershberg at Amplify for their time and support along the way, and a very big thank you to the inimitable @barsisyphus who edited the piece with lots of care.
The birth of optogenetics, whose pioneers won the Nobel Prize this year (!), is interesting because it developed almost randomly.
The history of this field (from @ayanobacter) can help us truly understand discovery...and train better AI for science.
https://t.co/o9CRLWAOO4
Management is an interface into which we’ve built increasingly expressive forms of intelligence. Hierarchies, standards, and APIs encode ways to coordinate work but are kind of dumb computationally. AI adds more expressiveness to this interface
Really good writing from @sachinnbenny about AI's impact on how we organize firms.
Why are decreased AI-driven transaction costs not impacting firms as we might expect them to?
https://t.co/B116cIqaV6
there must be a predictable bubble economics trajectory (BET if you will) where eventually certain tracks saturate/returns aren’t hitting as hard and people start casting a wider more speculative net before it pops, then the next bubble gets fueled by some of those late stage exploratory investment survivors
Me yesterday: Everyone loves to use biology as their “AI solves everything” use case…and yet it has, I would argue the least investment in speculative, deep future oriented research/invention -- I think there’s actually lots of hidden creativity, we just need to give more interesting people money and a platform
David Lang literally today: We're giving more interesting people money and a platform to catalyze paradigm shifting science
(one might call this divine timing)
BIG NEWS!
For the past few years, we've given scientists budgets so they can fund their peers with small, fast grants. Today, we're going bigger.
We're opening up a call to find and fund emerging "field builders"—people with the ambition and curiosity to kickstart a new field of science and technology. You'll get a budget of $70,000 to regrant (up to $10,000) out to projects and ideas and join a community of explorers.
Do you have an idea for a new field of science that *should* exist? Please apply!
BIG NEWS!
For the past few years, we've given scientists budgets so they can fund their peers with small, fast grants. Today, we're going bigger.
We're opening up a call to find and fund emerging "field builders"—people with the ambition and curiosity to kickstart a new field of science and technology. You'll get a budget of $70,000 to regrant (up to $10,000) out to projects and ideas and join a community of explorers.
Do you have an idea for a new field of science that *should* exist? Please apply!
Everyone loves to use biology as their “AI solves everything” use case…and yet it has, I would argue the least investment in speculative, deep future oriented research/invention
So much possibility, clearly major ambitions publicly being stated, and seemingly so little imagination
I think there’s actually lots of hidden creativity, we just need to give more interesting people money and a platform
SITUATION DETECTED: Tencent’s chief AI scientist and former OpenAI researcher Shunyu Yao said that AI models will soon be powerful enough to master biology, and that Tencent plans to build AI science labs that will operate completely autonomously, per SCMP.
It’s not just NVIDIA. Sources confirm Google's Gemini team was also leaking confidential information to China.
China is reportedly asking them to stop.