For two minutes he stood in silence.
100,000 in the stadium… frozen.
130+ million watching… locked in.
1993 — still the greatest halftime show ever.
Watch THIS.
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I’m running to be the Governor of South Carolina!
God’s not done with South Carolina and neither am I. You and me. Our mission begins now.
South Carolina First. Nancy Mace for Governor.
https://t.co/tkO1oN5G0W
"We may be dealing with NEGATIVE NET MIGRATION to the United States in 2025. That would be the first time there is negative net migration in this country in at least 50 years — we're talking about down from 2.8 million in 2024."
PROMISES MADE, PROMISES KEPT! 🔥🔥
This 67 page AI report on how 300 execs at software startups like Cursor, ElevenLabs, Sierra (revenue $10m-$1b+) use AI just dropped.
I read it all so you don't have to. Top 7 takeaways:
OpenAI is still the #1 model provider in the enterprise, but Claude is second.
1/10
this is a great read by jack morris. gives such a fresh perspective on what really matters.
TLDR: with every "new" architecture, we unlocked a new source of data to use at scale. it was the large amount of data we unlocked that boosted performance not the architecture itself, and videos are the next big thing to harness.
2012: alexnet unlocked the entire imagenet dataset
2017: transformers unlocked the entire internet (as text)
2022: RLHF unlocked learning from humans
2024: reasoning unlocked learning from verifiers
2026: ???
when you look at progress this way, it becomes very very clear what the next pillar to unlock is: videos. or more specifically, youtube.
youtube stores an insane amount of video data. people upload 720.000 hours of videos to the platform every single day. thats 4.3 Petabytes of new data every day that need to be stored. for comparison, currently models are trained on a few terabytes of text.
this means that the data uploaded to youtube daily is 1000x the data used to train a typical LLM.
once we come up with an architecture that can harness videos at scale, we will see the next big jump in our quest to AGI
Best AI hack I’ve used recently.
Take a pen and paper (I know bare with me)
And on one page write everything that is works for you in life.
What sleep routine works best
What diet works best
What systems give you the most leverage
What systems makes you the most money
Anything and Everything that gives you a positive ROI in life.
Then take another piece of paper and write everything that doesn’t work for you.
Bad Habits
Foods that make you sluggish
Things that piss you off.
Then take a picture of these two pieces of paper and put it into your LLM and prompt it.
‘Review these two brain dumps, one is everything that works for me and one is everything that dosent.
Based on this Create me a daily structured scheduled plan of what i should be doing every 30 mins of the day to ensure I am doing and focussing things that generate me positive results, and avoiding things that give me negative results.
Align the tasks and schedules with my natural energy rhythms.’
Follow it religiously and the results of your life will sky rocket.
The world's most valuable AI company is hemorrhaging its brightest minds — and the reason why will shock you.
Since 2023, OpenAI has lost 10+ key leaders including its CTO and Chief Research Officer.
But the real story isn't who left — it's where they're going... (thread)
🚨 THREAD: RFK Jr. and Dr. Oz Unveil Major Health Insurance Reform Affecting 260 Million Americans
Groundbreaking agreement with major health insurers to overhaul the prior authorization process, aiming to reduce delays and improve patient care.
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