
leading product & ops @forthepeople
New York City
Joined April 2009
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Big day
Introducing MX2, a fully operational proprietary AI platform built in-house at Morgan & Morgan
“The legal industry is at a turning point… The law firms that survive and lead will be the ones that don’t just license an AI tool, but whose attorneys inform the AI models with their own knowledge and experience. This is why we built MX2.” - @JohnMorganESQ
Learn more at mx2.forthepeople.com/
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President George W. Bush standing at Ground Zero in New York City following the September 11 Attacks. “I can hear you.”
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NEW YORK… THE WAIT IS OVER!!
The Knicks win their 1st title since 1973… snapping the longest drought between titles for any team in NBA history 🏆
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This is the best thesis for why the AI bubble won’t pop
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CRISPR came from yogurt bacteria. GLP-1s came from Gila monster venom. Taq polymerase came from hot spring bacteria.
As much as we like to think that progress in biotech is driven by human design, our biggest breakthroughs over the years have all originated from nature.
The ocean is one of the last great frontiers of biology. More than 90% of all marine life (an estimated 2M species) have not been discovered.
Also, only ~10% of the seafloor has been mapped at 100m resolution, "as compared to 100% of...Mars and Venus."
We should sequence everything in the ocean. Doing so would lead to many useful biotech tools, just as the thermostable polymerase used for PCR was found in a geyser-dwelling microbe, or CRISPR was identified in microbes living in Mediterranean salt marshes.
With this in mind, I've been reading a lot more about John O. Dabiri's work at Caltech. His report on "Bio-inspired Ocean Exploration," in particular, is a must-read. It has so many good vignettes about how little of the ocean we understand, and why it's so difficult to study.
"The ocean represents...99% of the habitable volume on Earth," the report says, "and yet, less than one-tenth of one percent of the seafloor has been mapped" at a resolution of 1 meter.
The obvious plan to sequence the ocean, of course, would be to make a bunch of submarines and underwater vehicles and send them out with nanopore sequencers. But this would not viably scale.
For example: "...it has been estimated that it would require 200 shipyears to sample the entire ocean at just one depth, that is, a single ship moving through the ocean for 200 years, or a fleet of 200 ships, all working in concert for a whole year—just to measure one depth in the ocean.” A typical, propeller-driven underwater vehicle costs about $50,000.
And here's the bit that really astounds me:
"...the volume of ocean water is roughly one billion cubic kilometers. A uniformly distributed array of one million measurement systems would therefore each still be tasked with monitoring an area equal to the size of the city of Los Angeles in the United States (1,000 km2) and throughout a depth of one kilometer of the ocean. By this thought exercise, it becomes apparent that even one million sensors would likely be a significant underestimate for the task at hand.”
Dabiri's group is attaching tiny microcontrollers and batteries to living jellyfish, and then using the animals to explore the ocean. Jellyfish don't have a swim bladder, so they "can be found as deep as the Marianas Trench, at least 3,700 m below the ocean surface.”
Each jellyfish is steered through the water using pulses of electricity. Jellyfish don’t have a central nervous system or pain receptors, so they probably don’t suffer. In the lab, they didn’t show any signs of stress or impaired feeding, reproduction, etc.
The microcontroller and battery are placed in the center of its bell, with electrodes wired out toward its extremities. Each unit costs a few dollars, and takes "less than a few seconds per animal" to implant.
Not saying this is necessarily ethical, but it is a remarkably clever way to improve the cost & coverage of ocean mapping (and maybe, soon, sequencing?) by orders of magnitude.
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#MajorLeagueProblems at @MTA as thousands of @Yankees & @RedSox fans forced off multiple subway lines on their way to the game.
The D line just made everyone get off in Harlem, three stops from #YankeeStadium.
“Take the bus,” said a worker clearing the train.
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Projects like OpenAI’s Operator are to the digital world as Humanoid robots are to the physical world. One general setting (monitor keyboard and mouse, or human body) that can in principle gradually perform arbitrarily general tasks, via an I/O interface originally designed for humans. In both cases, it leads to a gradually mixed autonomy world, where humans become high-level supervisors of low-level automation. A bit like a driver monitoring the Autopilot. This will happen faster in digital world than in physical world because flipping bits is somewhere around 1000X less expensive than moving atoms. Though the market size and opportunity feels a lot bigger in physical world.
We actually worked on this idea in very early OpenAI (see Universe and World of Bits projects), but it was incorrectly sequenced - LLMs had to happen first. Even now I am not 100% sure if it is ready. Multimodal (images, video, audio) just barely got integrated with LLMs last 1-2 years, often bolted on as adapters. Worse, we haven’t really been to the territory of very very long task horizons. E.g. videos are a huge amount of information and I’m not sure that we can expect to just stuff it all into context windows (current paradigm) and then expect it to also work. I could imagine a breakthrough or two needed here, as an example.
People on my TL are saying 2025 is the year of agents. Personally I think 2025-2035 is the decade of agents. I feel a huge amount of work across the board to make it actually work. But it *should* work. Today, Operator can find you lunch on DoorDash or check a hotel etc, sometimes and maybe. Tomorrow, you’ll spin up organizations of Operators for long-running tasks of your choice (eg running a whole company). You could be a kind of CEO monitoring 10 of them at once, maybe dropping in to the trenches sometimes to unblock something. And things will get pretty interesting.
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The latest edition of our quarterly "A Few Things We Learned" is now up. This time, accompanied by it's podcast companies, courtesy of @notebooklm
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You could make $150,000/year and pay $0 in taxes.
This is because the tax code is built for investors, not W-2 employees.
Let me explain how it works (and how you could live tax-free):
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Jimmy Carter has died at age 100. Many of you are too young to remember what his term in office was like, so I'll mention a few things many people don't remember about him.
He was a fervent anti-communist who even pulled the US out of the Moscow Olympics. He removed government price controls and deregulated the oil industry, the natural gas industry, the trucking industry, rail freight, passenger airfares, and many more. He actually closed down the Civil Aeronautics Board and the Interstate Commerce Commission. (He even began the process that led to companies like SpaceX being possible by permitting private companies to enter the space launch business, and he legalized home beer brewing, one of the steps that led to the modern craft beer industry.) He cut income taxes, believing, as John F. Kennedy had, that they were too high. He proposed decriminalizing marijuana, though he was decades too early on that. He believed that US foreign policy needed to consistently support of human rights around the world, and pushed the State Department to actually do that. He was also, by all external appearances, an actually decent human being.
In my opinion, he made two significant mistakes as President. One was not pressuring the Keynesian inflationist Arthur Burns out of the Fed, although arguably that might have endangered the independence of the organization. Still, he did ultimately appoint Paul Volker as Fed Chair after Burns' term ended, and it was Volker's policies that finally ended the runaway inflation of the 1970s. Second, he failed to respond forcefully to the Iranian hostage crisis, the consequences of which still echo to this day. Both of these ultimately led to his losing the 1980 election.
At the time, Carter did not seem like a great President; the economy (which he inherited from Nixon and Ford) was a basket case, and public approval was poor. Still, I think in retrospect, he was far better than most people remember. He was also a truly great former President, spending the rest of his life successfully promoting the causes he believed in.
In pace requiescat.
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I continue to think there’s a fairly titanic gap between the tech industry (as broadly understood) and someone in Columbus working as Network Administrator I at a mortgage company.
Often they end up talking past each other and/or assuming away existence of the other side.








































