A Brown professor gave his students a take-home midterm exam. After suspecting many cheated using AI, he made the final in-person. The orange dots are the midterm scores and the gray dots are the final scores. Looks like all but 3 cheated on the midterm.
For nearly 50 years the standard of care for joint sprains has included rest, ice, and ibuprofen not bc rigorous evidence showed that worked, but bc that made intuitive sense and seemed to help. Now there's good evidence those actually impede recovery.
Add it to a long list of medical reversals, whereby a practice that was once widely adopted is later shown to be ineffective or even harmful.
Promising theories, observational evidence, underpowered studies, and early experimentation can generate important hypotheses. But they do not eliminate the need for rigorous randomized trials, regardless of the financial or professional incentives to move faster.
Once ineffective or harmful care becomes embedded in standard practice, it is very difficult to overturn. There is a role for regulatory flexibility and clinical experimentation when patients have unmet medical needs. But neither eliminates the need for rigorous evidence to ensure that the medical system is actually helping patients.
Students need to learn how to use AI, but they also need to learn how to think for themselves. So in schools there should be some kinds of work where students are expected if not required to use AI, and others where it's banned, and no mushy middle ground in between.
I haven't read this for about 10 years, but I just looked at it after someone linked to it and I was surprised how many of these things are starting to happen. Still no next Steve Jobs yet though.
https://t.co/YQU7ZxOTwN
I was talking to a YC partner about how well all the hard tech startups are doing. He said investors are hot to fund them because they're afraid AI will eat all software. I'm glad hardware startups are getting funded, but this is a mistake. Good founders are what wins.
Between 1982 and 2020, the number of the 100 richest Americans who got rich from inheritance decreased from 60 to 27. And yet on the left they think the mid 20th century was the good old days, because economic inequality was lower then.
https://t.co/ggPKu1gN8u
I'm speaking tomorrow at 5:00 pm at the Oxford Union. I think you have to be a member or guest of a member to attend, but they put the talks on YouTube afterward.
Because this is a brand new form of centrism being born in San Francisco
The 2030’s will look back on this time when the new San Francisco common sense Democrat was born from the failures of the hard left
I'm not surprised the oil market could handle 100 days of the Strait being closed without significant disruption.
I am very surprised the oil market would remain so complacent after 100 days and with zero visibility on reopening.
If big companies can't make a net return on their LLM token costs, that doesn't mean it's impossible to. In fact this is exactly what you'd expect to happen with a new technology. Incumbents can't use it well, and are replaced by upstarts who can.
Texas celebrates every time CA raises taxes
'17 Toyota: LA -> Dallas
'19 McKesson: SF -> Dallas
'20 Oracle: SF -> Austin
'20 CBRE: LA -> Dallas
'21 Schwab: SF -> Austin
'21 Tesla: SF -> Austin
'22 HPE: San Jose -> Houston
'24 Chevron: SF -> Houston
'26 Public Storage: LA > Dallas
I miss the era of intensely good blogs
An all time favorite was that of @kevinsimler
Some of my favorites
- 4 parts on Julian Jaynes (first part https://t.co/1tCIIcIB5C)
- on social status https://t.co/UsNYoYPNg5
- honesty and the human body https://t.co/KlBe6BODHr
The events of the last 6 months in technology are arguable amongst the most important in human history
The tools now increasingly exist for recursive self improvement of models & agents
We are likely in very early lift off & exponential
Largely unnoticed outside of tech