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HumanForest
is testing our (pat.pending) method under an NSF grant to harness human brain power and beat the predictive accuracy of machine models
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HumanForest 14. sij
Great conversations at about our NSF-funded work on Human Forest, and its applications in biotech/pharma.
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jess 26. stu
Albania is one of europes poorest countries and has been hit by two catastrophic earthquakes in the past two months. hundreds and hundreds of people are injured. dozens have died. homes have been turned to dust. please please get the media to talk about this and
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Philip E. Tetlock 25. ruj
Some psychological effects are depressingly robustly replicable.
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Pytho LLC 25. ruj
( & ) we are trying 2 test that question 2gether w/ at w/National Science Foundation grant. Our vs JHU's random forest model in predicting clinical trial outcomes 4 the nxt 2.5 years
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Superforecastr 23. ruj
Cool! by won #3 this Sunday at Techstars Startup Weekend Rotterdam!!
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Pytho LLC 9. ruj
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Pytho LLC 9. ruj
We are happy to provide more detail on our new VS. experiment and research
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Pytho LLC 11. ruj
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Charles R. Twardy 7. ruj
Uh-oh? Definitely worth a look, esp. his response to my Q that combining market predictions with his predictions led to further 10% gain in AUC -- so independent signal: we should assimilate him into the market. ;-)
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Pytho LLC 10. ruj
I Work for N.S.A. We Cannot Afford to Lose the Digital Revolution.
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Spencer Phillips Hey 23. kol
What is a portfolio? Why does it matter for ? explain in great new article. Imagine if whenever a trial was planned, reviewed, published, we could see its portfolio like this?
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HumanForest 9. ruj
take note: will use human collective brain power 2 predict success of new cancer drugs as part of our new research. Can it beat random forests? We think it might!
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Claire Lehmann 7. ruj
Happy to participate in the next round of clinical trials ✋
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Superforecastr 6. ruj
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Superforecastr 6. ruj
It's pretty shocking that Scientific American would publish such a weakly researched and poorly written article. Assertions can and should be rebutted with the considerable existing evidence against. Algorithmic Foreign Policy via
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Philip E. Tetlock 3. ruj
All else equal, I suspect this is true. But all else is never remotely equal in these research designs. What matters is what you read—and how you read it.
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Philip E. Tetlock 6. ruj
I like this juxtaposition. “Trust-my-judgment” is, less & less, something Experts can demand by virtue of status alone. “Show-me-your-track-record” is a request that even High-Priesthood Experts will find it ever harder to dismiss.
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HumanForest 6. ruj
Trust in algorithms always dependent on the circumstance. We focus on building better AI (development of which is concentrated in extractive wealth conditions), while we beggar our humanity by relegating it 2 automation & synthetic dominion. At humans r atop HCI hybrids
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HumanForest 6. ruj
We at ( and ) agree and with HumanForest (pat. pending) we aim to make it clear why humans matter.
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HumanForest 6. ruj
With we are aiming to change the stakes for
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