adityakaul (e/acc)

6.8K posts

adityakaul (e/acc) banner
adityakaul (e/acc)

adityakaul (e/acc)

@kaulout

Helping enterprise ascend the intelligence scale

London Katılım Haziran 2009
3.5K Takip Edilen1.7K Takipçiler
@jason
@jason@Jason·
We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added
English
10.8K
134
4.6K
904.4K
Andy Masley
Andy Masley@AndyMasley·
This new article from the NYT is one of the most blatant misrepresentations of the AI water issue I've seen. A ton of pictures and close-ups of faucets run dry and people suffering from drought, with a subtitle saying "When Microsoft opened a data center in central Mexico last year.... Water outages, which once lasted days, stretched for weeks" Nowhere in the article does it make clear how much of the community's water the data center is using. Surprise, again, when you dig in, you find out that the data center is using tiny fractions of the region's water, comparable to any other industry in the region. The data center seems to have a maximum permit of 25 million gallons per year (about 1/4th of a large car factory). context.news/ai/thirsty-dat… A maximum permit is often way higher than actual use. It's there for worst-case scenarios, because permits are hard to change once you get them. Microsoft claims it only draws water 5% of the year. news.microsoft.com/source/latam/c… The area the data center is in draws 25 billion gallons per year if we multiply the population by the government's given water per person number. es.wikipedia.org/wiki/Zona_metr… ceaqueretaro.gob.mx/en-litros-de-a… So the maximum amount of the region's water the data center is permitted to draw is only 0.1% of the water there. If this article said "After a factory was built, a region's water demand went up by 1/1000th. Droughts that lasted days now lasted weeks" and then featured a ton of pictures of people suffering from lack of water, I think the average reader would ask "Wait, what? That's clearly not the cause of the water issue then." The authors surely know that they could just look into how the data center compares to any other regional use of water, but as usual they don't, and leave the reader to infer it must be the main culprit. Intentionally misleading. When I have time I can look into the other region's mentioned, but this is all pretty easy, and you the reader can do the same! NYT article: nytimes.com/2025/10/20/tec…
Andy Masley tweet media
English
79
250
2.4K
329.1K
adityakaul (e/acc)
adityakaul (e/acc)@kaulout·
For institutional investors looking for a differentiated source of alpha in this space, I'm opening up a limited number of slots for private briefings to discuss our methodology and the full signal pipeline. Get in touch to discuss the methodology and the full signal pipeline.
English
1
0
0
33
adityakaul (e/acc)
adityakaul (e/acc)@kaulout·
The AI infrastructure trade is noisy. Finding a real edge means going deeper. For the past 6 months at @Persevera_AI our focus has been on analyzing complex supply chain and regulatory data to find the real, physical-world bottlenecks of the AI buildout.
English
1
1
0
63
Deep Prasad (yug-cybera) 🏴‍☠️
Officially became a Dad today. Welcome to the world Celeste, Daddy loves you. Daddy will make the world a better place for you. ❤️
English
131
9
611
24K
adityakaul (e/acc)
adityakaul (e/acc)@kaulout·
Golden age baby
The All-In Podcast@theallinpod

🚨David Friedberg: AI is starting to identify and solve problems on its own “I'll give you a science corner example: there's this Evo 2 model that they publish at the Arc Institute, which Patrick Collison, you know, is the main funder and chairman.” “So that Evo 2 model, they just ingested all the DNA data they could find in the world.” “Trillions and trillions of base paired data that they ingested and then they looked at patterns in DNA. And that's it.” “They had no context for what the DNA represented, they had no context for the concept of genes, none of the structured understanding of what that DNA does, what it is, and you know what it did?” “They fed in the BRCA gene variant and the thing output a warning saying, ‘I think that this is a pathogenic variant to DNA,’ without having any context.” “This is the breast cancer allele.” “And it didn't have any knowledge and it wasn't trained on that at all.” “It had no knowledge that there are pathogenic variants for cancer, and it identified that this was a genetic variant that can cause some sort of pathogenic outcome in the organism.” “That's a great example where there's a lack of understanding at the human level on what really drives some of the patterns in nature, the patterns in society, the patterns in behavior that are kind of emergent phenomena perhaps, that these AI models are starting to identify.”

English
0
0
0
42