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The Computomatix Times

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Science & Health6/10

Trackmind Shares Stanford Hidden Markov Model Paper Used by Quants

Trackmind Shares Stanford Hidden Markov Model Paper Used by Quants

Trackmind promotes a 17-page Stanford paper that it says sets out the Hidden Markov Model framework used by quant firms such as Jane Street and Two Sigma, released free. The post is an enthusiastic summary and quotes a separate thread on randomness and measurement.

Trackmind @0xTrackmind · ·♥ liked
Original post · 1 min read
this Stanford paper is f*cking insane

they just compressed the entire hedge fund playbook into a 17-page pdf.

Stanford put out the complete Hidden Markov Model framework that quants at firms like Jane Street and Two Sigma are known to run, and released it for free.

the crazy part is this isn't some watered-down summary, it's the actual mechanics behind models these desks keep locked up internally.

most people assume this stuff never leaves institutional walls.

this one hands you the framework directly, no gatekeeping.

bookmark it and read before someone takes it down.
Trackmind @0xTrackmind
You Were Taught to Fear Randomness and Called It Bad Luck. The Real Thing Can Be Calculated. — Randomness is not the enemy of understanding. It is the last thing most people ever learn to measure, and once you can measure it, it stops being frightening and starts being useful.
Almost everyone
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More in Science & Health

Science & Health8/10

U.S. Government, Google and Meta Launch $1.8 Billion AI Biology Data Effort

U.S. Government, Google and Meta Launch $1.8 Billion AI Biology Data Effort▶

Molly O'Shea reports a $1.8 billion coalition including Biohub, the Department of Energy, NIH, Meta, Google DeepMind and Isomorphic Labs to build the largest open, AI-ready biological dataset to help models predict biology and treat disease.

Molly O’Shea @MollySOShea · ·♥ liked
Original post · 1 min read
BREAKING: The U.S. government, Google, Meta & Zuckerberg-backed @biohub are launching a $1.8B push to build the data layer for AI biology.

The goal is to create the largest open, AI-ready biological dataset ever assembled, giving models the data needed to better predict how biology works & ultimately help treat disease.

The coalition is massive:

› Biohub committed $500M
› DOE is investing $500M+ across measurement, modeling & compute
› NIH is bringing $500M+ of federally funded datasets & repositories
› Meta, Google DeepMind & @IsomorphicLabs are jointly investing another $300M

This is effectively an infrastructure buildout for AI biology.

Instead of just building bigger models, they’re attacking one of the biggest bottlenecks in biology AI today, generating standardized, high-quality biological data at massive scale & making it openly available to researchers.

$1.8B committed to turning biology into something AI can increasingly model, predict & engineer.
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Science & Health7/10

FDA Clears First Human Age-Reversal Trial From Life Biosciences

FDA Clears First Human Age-Reversal Trial From Life Biosciences▶

Vaibhav Sisinty reports the FDA cleared the first human age-reversal trial, citing animal research on partial reprogramming and Life Biosciences' $80 million raise to pursue it, though the post's claims about mouse and monkey results are not independently verified.

Vaibhav Sisinty @VaibhavSisinty · ·♥ liked
Original post · 1 min read
This is insane 🔥

The FDA cleared the first human age-reversal trial

A Harvard professor proved you can reverse aging by 75% in 6 weeks in mice cured blindness, reversed Alzheimer's, MS, ALS, kidney and liver disease then confirmed it works in monkeys

Now humans are next. Life Biosciences raised $80M to make it happen

His words "The eye is just the beginning. We believe we can treat every tissue. A whole body reset"
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Science & Health7/10

Evidence API Lets Users Search 100M Papers for Scientific Claims

Evidence API Lets Users Search 100M Papers for Scientific Claims▶

James Zou announces the Evidence API from Paperclip, which lets users search over 100 million papers to find evidence for and against a scientific claim in about a second. He cites coffee and diabetes risk as an example query.

James Zou @james_y_zou · ·♥ liked
Original post · 1 min read
What if,
for any scientific claim,
you can search 100M+ papers to find the strongest evidence for and against it
⚡️in 1 second?

That’s now possible with Evidence API! 🚀
paperclip.gxl.ai/evidence-api

For example, does drinking coffee reduce diabetes risk?
paperclip.gxl.aiPaperclipPaperclip — search, read, and analyze 11M+ biomedical papers, regulatory documents, clinical trials, and biological databases (UniProt, PDB, ChEMBL) from the co
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Science & Health6/10

Phone-Free Trial Shows Gains in Attention and Depression Symptoms

Noah Smith shares a post by Brandon Luu, MD, reporting that two weeks without phone internet improved sustained attention by an effect size comparable to about ten years of aging and reduced depression symptoms more than the average antidepressant effect.

Noah Smith 🐇🇺🇸🇺🇦🇹🇼 @Noahpinion · ·♥ liked
Original post · 1 min read
Putting down your phone is more effective than antidepressants
Brandon Luu, MD @BrandonLuuMD
After blocking phone internet for 2 weeks:

1) Sustained attention improved by an effect size comparable to ~10 years of aging

2) Depression symptoms improved more than the average antidepressant effect
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Science & Health6/10

Randomized Trial Finds Plain Water Gargling Cuts Respiratory Infections

Randomized Trial Finds Plain Water Gargling Cuts Respiratory Infections

Brandon Luu, MD, highlights a randomized trial in which gargling with plain water three times daily reduced upper respiratory infections by about 36%. He describes it as one of the cheapest cold-prevention interventions.

Brandon Luu, MD @BrandonLuuMD · ·♥ liked
Original post · 1 min read
One of the cheapest cold-prevention interventions I’ve seen:

Gargling with plain water 3x/day reduced upper respiratory infections by ~36% in a randomized trial.
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Science & Health7/10

Anduril and Palmer Luckey Win Wildfire XPRIZE for Rapid Fire Detection

Palmer Luckey says Anduril won the Wildfire XPRIZE for detecting and suppressing a wildfire within 10 minutes of ignition. He argues that even small gains could save the U.S. roughly $500 billion a year lost to wildfires.

Palmer Luckey @PalmerLuckey · ·♥ liked
Original post · 1 min read
Thanks, Peter! This is the beginning of the end for destructive wildfires. In a country that loses ~$500B every year to wildfires, even tiny gains make for huge savings, to say nothing of the incalculable value of lives and homes.
Peter H. Diamandis, MD @PeterDiamandis
Congrats to @PalmerLuckey and Anduril for winning the Wildfire XPRIZE - for detecting and suppressing a wildfire within 10 minutes of ignition!
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