Also, the reason for all the recent hype over Black Clover Magna's fight is because deep down, all of us are hoping that normies like us can win the seemingly impossible fights in our life too
I believe in us.
For the engineers fixing Outlook today, bringing the servers back online is only half the battle.
The real pain is spending all of next week in meetings explaining the root cause to ten VPs who have never looked at a server in their lives.
I have a major result to share.
I’ve found conclusive forensic evidence that the top 4 Chinese AI labs—DeepSeek, Moonshot, MiniMax and Ant Group—have built their newest models on NVIDIA’s most advanced Blackwell chips, which are barred from export to China.
This sounds insane, but I discovered that almost every AI model carries a hidden signature of the GPU that trained it. When a model is first set up, the starting values of its weights are laid out in a pattern that depends on the exact GPU. Each combination of GPU and seed number produces a unique pattern—a sort of fingerprint of the hardware used to create the model. Traces of that pattern survive training into the published model.
Again, this evidence isn’t based on any insider information or leaking. It’s based on a forensic analysis of the model weights released by the companies themselves.
I searched more than six trillion combinations of chip layout and seed number and matched them to open-weights models. In doing so, I found conclusive evidence that six Chinese AI models—including DeepSeek-V4-Pro, Kimi K3, and MiniMax-M3—were initialized on NVIDIA Blackwell systems. Four of the models match Grace Blackwell, the GB200 and GB300 parts in NVIDIA’s flagship liquid-cooled rack-scale systems.
I then verified these results on real hardware. Running unmodified PyTorch with the seeds I’d recovered, a Blackwell B300 reproduced DeepSeek-V4-Flash’s untouched starting weights bit for bit, and a rented GB200 reproduced Kimi K3’s to a correlation of 0.999995. A Hopper H100 reproduced none of DeepSeek-V4-Flash’s, and changing the seed by one broke the match. (DeepSeek’s seed is 953049583 by the way.) The method also was verified to match 24 known open-weights models to the hardware that developers said they used.
It is exceedingly unlikely that these results are a coincidence. Across six trillion combinations, the best accidental match should reach only about 8 sigma (i.e., eight standard deviations above what random chance would produce). The real matches range from 49 to 1,385 sigma, and even the weakest single test hits 20.
These were data-center-scale training runs. With some analysis of release schedules and model details, I estimate that the largest, Kimi K3 and DeepSeek-V4-Pro, used 2,000 to 3,000 Blackwell GPUs each. Clusters of this size cost on the order of $150 to $200 million each to buy, and across these labs alone would add up to more than half a billion dollars of export-controlled GPUs, not counting experimental compute or otherwise. It’s quite likely that we see multi-billion dollar expenditure on export-controlled GPUs.
I am highly confident in this result, and it has been independently verified by senior researchers at OpenAI and Anthropic. You can read the full report at https://t.co/YOtzND0Jqk.
There is much more I’ve identified about these models through other forms of checkpoint forensics like this, and will have more to share soon.
Fun fact: unqualified boards make unqualified decisions.
If Nvidia had Meta's Board of Directors is Jensen Huang still there?
My guess is it's very unlikely he would have been fired...
I used to be delusional when young. Big dreams and aspirations. After getting older, I’m more realistic and practical now. Dreams that I once thought were possible seem impossible now.
Maybe the key to doing something great is to be delulu to a certain extent
Sometimes I see people calling me a grifter, saying I’m just trying to squeeze as much money as possible from my audience.
And honestly it hurts to read because it couldn’t be further from what motivates me.
We’re in the middle of an AI gold rush. Startups are raising millions, and if you have an audience in tech right now, there’s an insane amount of money to be made.
People don’t realize how many offers I turn down from companies willing to pay $5K for a single tweet promoting their product.
I could probably make a ridiculous amount of money doing this. But I’ve always refused because I don’t want my opinions to be for sale.
And I’ve seen firsthand how much brands are willing to spend on visibility with my HYROX sponsorship experiment. If money was my goal, I’d just double down on that.
The last few years have completely changed my life. I’m financially free, I have everything I need, and I genuinely don’t care about making more money just for the sake of it.
Don’t get me wrong, I LOVE making money from my apps.
Not because I need more of it, but because someone paying for something I built is the ultimate validation. It means I’ve created something valuable enough that someone is willing to pull out their credit card.
And if one person is willing to pay for it, maybe others will too. That’s what makes building businesses so exciting to me.
But what actually gets me out of bed is making weird stuff, experimenting with ideas, and seeing people use things I’ve built.
From 2015 until 2022, I was building apps alone, with barely any entrepreneur friends. I felt lonely.
Now I’ve finally found my people, made enough money to live comfortably, and get to do what I love every day.
I don’t need more. I just want to have fun building stuff with people who love it as much as I do. ❤️
> bro calls out dude for stealing,
> dude said “no bro its ai generated content”,
> bro exposed him with evidences,
> dude reply “fair enough you caught me”
Am i understanding this right??
This bitch ass looser "spent thousands of dollars building" a repo of 50+ templates "every single one generated with Claude Fable 5".
- He didn't. ~200 of them are paid templates from 10 vendors, 45 of them mine, scraped from our live demos, relicensed as MIT in his name.
- Tweeted about
- Held a talk on @MSFTReactor office
"Steal it. Ship it." He literally did.
DMCA filed.
This bitch ass looser "spent thousands of dollars building" a repo of 50+ templates "every single one generated with Claude Fable 5".
- He didn't. ~200 of them are paid templates from 10 vendors, 45 of them mine, scraped from our live demos, relicensed as MIT in his name.
- Tweeted about
- Held a talk on @MSFTReactor office
"Steal it. Ship it." He literally did.
DMCA filed.