WTF 🚨 The Telsa Roadster just defied gravity by hanging upside down, then LAUNCHING off a ramp did a 180 in the air and levitated to the ground...
What did we just watch 👀
There is a scam American companies are using to manipulate what ingredient gets listed as the first main ingredient on products
Take Smuckers, strawberries is the first ingredient. So you would think strawberries is the main primary ingredient, but that’s not true
American companies are using a food formulation technique known as ‘ingredient splitting’
For Smuckers, they divide the sweeteners up into 3 different ingredients. That way, each of them weigh less
This allows the word strawberries to be listed on the label as the first ingredient, giving the impression that it's mostly strawberries. In reality, it's mostly sugar.
This is a scam. It’s outright manipulation of our system and lying to customers
Ingredients splitting is a real labeling tactic, and it is legal. It’s allowed by the FDA
I included 10 more popular American foods where this same “ingredients slitting” scam tactic is being used at the end of the video
Claude Code just shipped mods...
I made one that connects you to a multiplayer Doom server while Claude is busy.
Every other player in the match is a person waiting for their Claude to finish.
This is the real future of game preservation.
I rewrote Skate 3 in Rust, aiming for 1:1 behaviour through a human-and-AI development loop.
Codex helped reverse engineer how the game works and connect its assets, action graphs and motion graphs in a separate engine.
Every game is open source now.
Bugünün internetine çıkamayan (TLS 1.0), 2007 yapımı, 8 MB hafızalı Nokia'mı Claude ile tanıştırdım. Yani artık yapay zekâsı var 🙃 2-3 gündür firmware'ine tersine mühendislik yapıyorum; amacım Java katmanını aşıp doğrudan sistemin içine girmek. "Gelecek" olduğunu düşündüğüm acayip fikirlerim var. Videoyu önden salıyorum.
I was also looking into how we can integrate Jev into a real hardware and I built a custom firmware for my keyboard that predicts and highljghts the next key using Jev. Mostly real time.
This is not a simple dummy 2kb model that lives in the board.
In my project Jev gets context of the current active app on a screen so it can suggest actual vim commands completion! For real. And a real word endings or even phrases.
lmao this experiments are getting out of hand this quite cool
Introducing the US Gov Graph - a complete map of the people and positions of power in the federal government.
To fix our institutions we must understand how they work, so we are using AI to model and monitor every government in America. This is Palantir for The People.
Check it out here: https://t.co/bRXZfEt8ud
We exist to set the conditions for an era of civic excellence unmatched since the Founding. We will need nothing less to navigate the age of AI.
I'm looking for exceptional engineers and designers to work with me in San Francisco. If that's you, inquire here: https://t.co/8hpHt2MhVu. Self-governing civilization is counting on you.
I have conducted an audit of Anthropic's finances.
What I have found is so shocking that I am calling for a Congressional investigation.
Anthropic is not just seeking regulatory capture.
It has built a regulatory capture machine that cannot be turned off.
Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle.
It starts with METR.
Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models.
He proposes METR for this purpose.
But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock.
Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio.
And GVF is the overwhelming funder of the entire Anthropic Network ecosystem.
This stock was worth $500 million early last year.
It is worth more than $7.7 billion just ~16 months later.
METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth.
Because if Anthropic goes under, many of the organizations that fund METR go under as well.
But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much.
The "third-party evaluator" is not "third-party" at all.
The evaluator is on Anthropic's payroll.
If this were the end of it, that's bad.
But that isn't all.
The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom.
The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others.
They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's.
All of these organizations are financially dependent on the same exploding $7 billion money pile.
As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder.
Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created.
From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts.
This itself is an objective fact.
The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it.
But the problem also goes in the other direction:
If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die.
Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen.
Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly.
They simply are not organizations independent of Anthropic.
And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly.
What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations.
The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture.
And that feedback loop is winning.
That's what Jacob Coxon is.
China is keeping messaging tight. That is why optimism for AI is so high in China.
America has Anthropic: a massive company pushing anti-AI propaganda at a state level.
Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences.
Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully.
It is the mirror of the same AI virus that it hypothesizes to consume America.
Anthropic's business model, models itself after the very thing it claims to fear.
Except Anthropic's ideology infects humans, not computers.
Congress must investigate.
Evidence and Github in next post.
Then some supplementary figures.
.@L3HarrisTech says Palantir helped them beat frontier AI models in less than 2 days, at 95% lower cost:
"When we fine-tuned open source models trained on our own data, we were able to outperform the frontier models in less than 48 hours."
"The cost of our fine-tuned open source model was 95% lower than the frontier models we were using."
"AI is a commodity. It's all about the data. We view our data as a corporate asset. It's our unique hard-earned knowledge."
"We believe American defense companies should not be a vassal for frontier AI labs, handing over our data and institutional knowledge, hoping to rent back the intelligence it creates."
" We own the model, we own the compute, we own the advantage."