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Greg Osuri 🇺🇸 deAI Summer 2025
Founder of Akash • @akashnet_ • $AKT
There is an incredible opportunity to build an AI-native CRM that serves both personal and team needs and can:
- Understands you and your team intimately.
- Deeply research prospects’ teams.
- Find common ground professionally and personally.
- Auto-transcribe meetings and action items.
- And a whole lot of AI-native features that incumbent systems cannot add.
Who's building this?
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can we do a dao to keep cramer in a perpetual holiday away from crypto?
12 tuntia sitten
JIM CRAMER EYES BITCOIN, ETHEREUM AS HEDGE AGAINST $37 TRILLION US DEBT
2,08K
Greg Osuri 🇺🇸 deAI Summer 2025 kirjasi uudelleen
70% GPU cost savings?
That's the power of permissionless compute. Check out @lexavellino and @ArelAvellino from @passageio explaining how Akash enabled them to create immersive virtual events for large enterprises on Passage. Forward-thinking decentralization in action.
4,51K
Using AI is art more than science.
Copy pasta from ChatGPT smells slop so easy to detect.
20 tuntia sitten
0% AI is slow.
But 100% AI is slop.
So the optimal amount of AI is actually between 0-100%. The exact figure varies by situation, but just the idea that 0% and 100% are both suboptimal is useful.
It's the Laffer Curve, but for AI.
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H1Bs for highest tax paying applicants is an excellent proposal for the mid term.
A complete overhaul will be more optimal though.
23.7. klo 10.00
🚨 HUGE Immigration News: Trump just proposed a big change to the H-1B. No more lottery, but weighted selection by wage.
Based on your job code and location, your base salary %ile will slot you into one of 4 groups. 85k H-1Bs are selected in decreasing order IV > III > II > I. If there are more applicants than slot, lottery happens within a group.
The data from LCA applications, those selected into the H-1B, shows 13% level IV and 24% III from ~480k apps. This means mostly level IV will fill up the 85k cap.
This has about 30% chance of being a law by 2027.
What does this all mean? I outlined the big consequences of this bill below.
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4.5 gigawatts is about the equivalent of 5 nuclear plants.
The last nuclear facility built in the US took approximately 14 years to complete. Something tells me Sam will not wait that long.
The fastest way to achieve that capacity is through fossil fuel generators. If LNG (the cleanest of fossil fuels) is used, the generator will emit around 2.7 million tonnes of carbon each year, which is ⅔ of the 2023 CO₂ emissions of the entire U.S. state of Vermont.
We are well on track for AI consuming 12% of US energy by 2028.
22.7. klo 20.50
we have signed a deal for an additional 4.5 gigawatts of capacity with oracle as part of stargate. easy to throw around numbers, but this is a _gigantic_ infrastructure project.
some progress photos from abilene:
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GPU and Energy wars of 2027-2030 will be two of the biggest catalysts for DeAI.
Watch this space.
23.7. klo 00.54
230k GPUs, including 30k GB200s, are operational for training Grok @xAI in a single supercluster called Colossus 1 (inference is done by our cloud providers).
At Colossus 2, the first batch of 550k GB200s & GB300s, also for training, start going online in a few weeks.
As Jensen Huang has stated, @xAI is unmatched in speed. It’s not even close.
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