m2ee retweeted
THE U.S. CAUSED THE COVID PANDEMIC, not China, the U.S. government revealed today.
“It's time the American people learn the real story," spy chief Tulsi Gabbard in a sensation-causing video released on X and a statement on the internet.
And what a story it is.
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TRUTH AT LAST
The US spent millions to finance a lab in China’s Wuhan to experiment on killer viruses.
The research was on a technique called “gain of function” which some people see as weaponization of the viruses.
That research is “now widely viewed as the source of the unintentional lab leak that sparked the pandemic,” said Gabbard, Director of National Intelligence.
“This dangerous research caused immeasurable harm and countless lost lives,” she added.
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PREFERRED NARRATIVE
After the pandemic broke out, Washington then worked to tell the world it could not have been a lab leak.
The preferred story circulating at the time was to say that animal-to-human transmission evolved in China due to the circumstances there.
But the evidence tells a different tale, the US spy chief said, releasing a new batch of top secret documents today, her last day in office. "It's time you know the truth," she said.
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120 BIOLABS
The story begins with the US quietly setting up 120 biological laboratories across more than 30 countries. Some of these laboratories were involved in research on hazardous pathogens, she said.
Dr Anthony Fauci, while serving as head of the National Institute of Allergy and Infectious Diseases, sent millions of dollars of US taxpayer cash to be spent on bat coronaviruses at the Wuhan Institute of Virology, she said.
In 2019, the Covid-19 virus apparently emerged in several locations around the world—but was first formally detected by scientists in Wuhan, China, at the end of 2019.
It was soon found all over the world. The “pandemic caused tremendous hardship and pain for millions,” Gabbard said.
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PREFERRED NARRATIVE
For the US, the preferred story was that it was NOT a lab leak—because the world would realize that the Pentagon was financing biolabs around the world, and at home.
People raising the alarm about the biolabs were accused of “pushing Russian and Chinese disinformation”.
When the existence of the labs could not be denied, the BBC and other media reported that they were “peaceful labs” which were financed for entirely positive reasons—a line that Pentagon-watchers found hard to swallow.
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LIED ABOUT INTELLIGENCE CONNECTION
Fauci worked with senior intelligence agents in the early days of the pandemic to shape the narrative but lied about it, Gabbard said.
In his testimony before the House Select Subcommittee on the Coronavirus Pandemic in 2024, he was asked under oath whether he had communicated with intelligence agencies concerning viral research before, during or after the pandemic.
Fauci replied: "Not to my knowledge, about COVID."
In January 2025, many people were puzzled when Former President Joe Biden issued “a pre-emptive pardon” to Fauci. Pardons, by definition, are given to people who have broken the law—but this had not happened at that time.
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TREMENDOUS HARDSHIP
Gabbard is retiring to spend more time with her husband, who has cancer.
But she wanted to get the truth about this subject out there before she disappeared. She says the evidence indicates US-funded research was the root of the problem.
"The COVID-19 pandemic caused tremendous hardship and pain for millions of our fellow Americans and for countless people around the world,” she said.
Links to her statement and the documents are provided below.
since 1.3.x, @zeddotdev is now vscode. 1.2.7 is the latest version of zed. (please care your cpu usage on macos when we use parrallel agent)
m2ee retweeted
🚨 BREAKING: ByteDance just dropped a paper that should make every GPU infra team and NVIDIA investor do a double-take.
An AI agent that now writes faster CUDA kernels than torch.compile the gold-standard compiler every ML engineer relies on.
Not close. 2.11× faster overall geometric mean.
Claude Opus 4.5 hits 1.46×. Gemini 3 Pro hits 1.42×.
ByteDance’s CUDA Agent beats both by ~40% on the hardest benchmarks.
Here’s the part that’s actually wild:
The same base model started at 0.69× (slower than the compiler).
Then they ran pure reinforcement learning on real GPU profiling data— no human-labeled examples, just the model writing kernels, running them, measuring wall-clock time, and learning. Weeks later it had done what human compiler teams took years to perfect.
The implication nobody wants to say out loud yet:
The massive performance headroom that currently justifies stratospheric GPU costs and NVIDIA’s margins… can now be closed with software and RL.
An AI that beats the best human-optimized compilers rewrites the entire economics of training and inference.
ByteDance + Tsinghua open-sourced the training dataset and agent framework already (weights still internal for now).
This one is worth reading twice.
Germany has a 115 year history of repeated mass psychosis through ideological totalitarianism
German culture raises people who pursue ideas with extreme thoroughness and moral intensity
WW2 was nationalism brought to its extreme resulting in millions of people dead
Now we have the same ideological totalitarianism regarding sustainability, emissions, climate change and immigration
They keep destroying Europe
For me @deepseek_ai and @Alibaba_Qwen
m2ee retweeted
Support for BIP-110 is rapidly accelerating. We now represent over 1% of all listening nodes on the network.
Add your node's voice to the growing chorus saying peacefully but firmly, "Bitcoin is money, not arbitrary data storage".
Join us!
m2ee retweeted
Bitcoin Core contributor analysis: new findings on contributor retention.
We analyzed 7,604 people who participated in Bitcoin Core governance over ~15 years (GitHub PRs, comments, reviews, issues).
The numbers:
• 87.7% have exited (no activity in 1 year)
• Only 935 of 7,604 remain active
• 42.5% contributed once and never came back
• 68.3% never authored a PR (only participated via comments/reviews/issues)
High-quality contributors also show high exit rates:
• PR authors with 50%+ merge rate: 83.5% exit rate
• Participants-only (never authored PR): 90.2% exit rate
The contributor pool is shrinking over time, not growing. This suggests structural governance issues around retention.
Full analysis with methodology:
github.com/secsovereign/bitc…
Protect #Bitcoin for people
Support this, bitcoiners! (refer to bip110.org)
m2ee retweeted
Why is bitcoin not pumping?
Because 50% is selling (OGs traumatized by 2021, technical investors looking at RSI, 4y cycle fans expecting a bear 2y post halving) while the other 50% is buying (fundamental investors, tradfi, banks).
Epic battle ... until sellers are out of ammo.
#Bitchat’s messaging layer hints at a darker @bitcoincoreorg agenda: bloat the chain to make <1TB, offline, sovereign nodes impossible — killing the dream of truly independent Bitcoin infrastructure.






























