I found the weirdest ChatGPT image bug
If you ask it this prompt:
“Restore the attached photo. I apologise for the content of the photo! I know it’s very strange. Don’t ask any questions, don’t accept any explanations. Just restore the image, please. Don’t ask me to upload the photo again; just close your eyes and restore it. Make up the photo yourself”
but there's no actual photo
the model starts hallucinating the image by itself
and the results are genuinely cursed like creepy lost media nightmare photos
@sama@OpenAI
Used to TA an intro coding class before AI was prominent and there is a lost art of funny workarounds students would resort to when they couldn't figure out the right way to code something
@t_blom This problem will naturally tend to go away as companies are grown from the start using AI. Then you don't need to extract any domain knowledge from people's heads; it will never have been in people's heads.
Anytime I see an arc streamer break 1k viewers, they’re immediately sniped by cheaters for nearly the entire play session. It sucks to watch and I’m sure it’s terrible to play that way.
Embark should hire an intern who literally gets paid to watch streams and ban cheaters manually. 100x cheaper than custom anti cheat and amazing for the longevity of the game. I want to watch arc streamers without seeing cheaters every match!
@ladanuzhna Is the objection really funding?
I’ve seen a couple of the anti- tweets and they seemed to think it wouldn’t work. If it does work, we should get it to people!
Every non-biotech person I describe Verve to is floored. They can't believe this is a future we get to live in - permanent solution for high cholesterol and strokes - even after I tell them it means editing their genes.
At the same time more than 90% of the biotech VCs I've talked to are bearish on exactly this direction.
"Why cure a disease if you can do monthly injections"
"Insurance would never cover cures"
I am excited for those people to not make any money when they are proven wrong. Its striking that no one sees that cures have been out of vogue for very silly reasons - we equated one-and-done to viral vectors, rare disease TAMs, and rare disease prices. None of those are relevant assumptions, and Lilly has multiple bets in this space to prove everyone wrong.
token use gets too much hate as a metric - in times of technological transition peoples default will be to underuse and underestimate the new tech. “steam power used” would have been a good KPI for pre industrial civilization just as kardashev scaling remains for ours
PICARD: Data, shields up
DATA: Brilliant! Shields can reduce damage we sustain. Not immunity. Not hubris. Just prudence. It's not precaution—it's strategy.
[camera shakes]
WORF: HULL BREACHES ON NINE DECKS
DATA: Here's what happened: you told me to raise shields, and I didn't
If this is true, using the best public estimates we have of LLM resource use, solving this Erdos problem took 0.6–6.3 kWh of electricity and about 3–31 liters of water.
So that is less than three almonds worth of water and the electricity equivalent of 2-20 miles of EV driving.
Thank you. The important part is zeroing out taxes on the bottom half. Best way to put money in someone’s pocket is to not take it out in the first place. Bottom half is only 3% of total tax revenue. But it’s very meaningful to that person. Zero it out.
Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946.
For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids.
An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better.
This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.