Combat performance is a synergistic integration of:
-Drive to win
-Psychological resilience when facing adversity
-Strategy
-Sport Attributes: timing, rhythm, speed, power, endurance, ability to sustain & recover from damage
-Technique
-Ability to apply technique under pressure
🇨🇳 China just released footage of their robot wolves running simulated street battles with micro-missiles and grenade launchers.
Black Mirror called, they want their props back.
Mike Tyson shares the advice Sugar Ray Robinson gave him when he was 18 😂
“I’m 18 years old when I met him, smoking weed and everything. When he told me that, I went home, got dressed, and ran 10 miles.”
Hard to Kill - aka Interpol Connection (1992). Directed by Phillip Ko. Starring Phillip Ko, Yukari Oshima, Robin Shou, Billy Brown, Wai- Lun Fung, and Simon Yam.
Jensen Huang just reverse-engineered why Elon Musk operates at a speed no one on the planet can match.
Three traits.
The first is deletion.
Huang: “He has the ability to question everything to the point where everything’s down to its minimal amount.”
Most engineers solve problems by adding.
Musk solves them by subtracting.
Every part. Every process. Every assumption that survived because no one had the nerve to kill it.
He picks it up. Asks if it’s load-bearing. If the answer is anything less than absolutely, it is gone.
Not simplified. Not optimized. Removed.
What survives is the skeleton. The bare physics of the problem. Nothing between intent and execution.
Huang said it plainly.
As minimalist as you could possibly imagine.
And he does it at system scale.
Not at a product level. Not at a department level.
Across entire companies. Entire industries. Entire supply chains.
He strips a rocket the same way he strips a meeting. Down to the load-bearing walls and nothing else.
The second is presence.
Huang: “He is present at the point of action. If there’s a problem, he’ll just go there and show me the problem.”
Not a Slack message. Not a report filtered through four layers of people who weren’t there when it broke.
He walks to the failure. Stands over it. Puts his hands on it.
Most executives have never seen the actual problem their company is trying to solve.
They have seen slides about it.
Read summaries of it.
Formed opinions about it in rooms that are nowhere near it.
Musk stands over the broken hardware and does not leave until it works.
That collapses the distance that buries most organizations.
The gap between something breaking and the person with authority to fix it actually understanding what broke.
In most companies, that gap is weeks.
For Musk, it is hours.
The third is the one that bends everyone around him.
Huang: “When you act personally with so much urgency, it causes everybody else to act with urgency.”
Every supplier has a hundred customers. Every vendor has a dozen priorities. Every manufacturer has a backlog stretching months into the future.
Musk makes himself the top of every single one of those lists.
Not by demanding it. By demonstrating it.
When the CEO shows up at your facility at midnight. When he is moving faster than your own internal team. When his timeline makes yours look like a suggestion.
You do not put him in the queue. You rearrange the queue around him.
Huang watched this up close.
Huang: “He does that by demonstrating.”
Not by asking. Not by negotiating. Not by leveraging a contract clause.
By moving so fast that everyone else’s normal pace feels like standing still.
Three traits. Strip everything down. Show up at the failure. Move so fast the world rearranges around you.
That is not a management philosophy.
That is why one man runs six companies while entire boards cannot keep one moving.
Terence Tao is the greatest living mathematician.
Fields Medal at 31. Solved problems that had been open for a century. Widely regarded as the sharpest analytical mind alive.
And he just told you the thing your entire career is built on is now worthless.
Tao: “AI has basically driven the cost of idea generation down to almost zero.”
For five hundred years, the idea was the prize.
The theory. The hypothesis. The flash of insight a physicist chased for twenty years in a lab before it landed.
That was the bottleneck. That was what tenure rewarded. That was what Nobel committees were looking for.
Gone.
A model can generate a thousand candidate theories for a scientific problem in an afternoon. Not noise. Not garbage. Plausible, structured, publishable-grade hypotheses.
A thousand of them. Before dinner.
The idea used to be the scarcest resource in any room.
Now it is the cheapest.
But Tao went somewhere most people are not ready to follow.
Tao: “Verification, validation, and assessing what ideas actually move the subject forward… that’s not something we know how to do at scale.”
Sit with that.
We automated creation.
We did not automate truth.
We can produce ten thousand explanations for a phenomenon.
We cannot tell you which ones are real.
That is not a gap. That is a chasm.
And it is the most important unsolved problem on Earth right now.
Tao: “Human reviewers… they’re already being overwhelmed actually.”
The entire scientific apparatus was built for a world where a single paper took months to produce.
Peer review. Journal boards. Consensus forged over years of replication and debate.
That infrastructure was never designed for what just hit it.
Journals are flooded. Reviewers are buried. The filters that separated signal from noise for decades were engineered for human-speed output.
They are now absorbing machine-speed volume.
And they are cracking under it.
Tao compared it to the internet.
The internet drove the cost of communication to zero. That did not produce clarity. It produced an ocean of noise with islands of signal buried somewhere inside.
AI just did the same thing to knowledge itself.
Infinite generation. Zero verification.
The person who can produce ideas has never mattered less.
The person who can prove which ideas are true has never mattered more.
That is the inversion nobody is processing.
Every company, every lab, every institution is racing to generate more. Faster models. Bigger outputs. More theories. More code. More content.
Nobody is building the system that tells you which of those outputs are actually correct.
And that is the only system that matters.
Whoever solves verification at scale does not win a market.
They become the filter that all of science, all of engineering, all of human discovery flows through.
The bottleneck of the last five hundred years was producing the answer.
The bottleneck of the next fifty is knowing whether the answer is real.
And right now, according to the greatest mathematician alive, we do not know how to do that at the speed the machines demand.
That is not a research problem.
That is the race beneath the race.
And almost nobody has entered it.
🚨NEW: Video shows how the fight started between Alan Ritchson and his neighbor
The neighbor stepped directly in front of the bike, causing Ritchson to flip over the handlebars
The neighbor previously said he told the actor to “slow it down.”
"I did push him because he was coming towards me on his, on his bike."
"He did it again for a second time. I pushed him a second time, and I think the second time he got off his bike and kicked the crap outta me."
1ST Video/ TMZ
When Ronda Rousey shadowboxes… the shadow wins 😭🤣 Damn I really needed this laugh today....thank you for your service, I don’t care who u r, this is so funny