1/15 SCOOP: Trump’s “Super Intelligence” Scandal: I believe Trump’s “SI” Executive Order was ANOTHER criminal plot to enrich the Trump family. Insiders seem to have profited MILLIONS off of .si domain names before his Truth Social posts.

Ed did some homework

Free newsletter: I estimate that ~50% of AI chip sales - $200bn to $300bn+ - are sitting in warehouses, with NVIDIA selling hundreds of billions of GPUs years in advance. Data centers take way longer to build than hyperscalers are leading us to believe. wheresyoured.at/wherere-all-…

On the AI front, the trade has been dead money for more than 3 months now. The metrics I am following (token expenditures and GPU lease rates) are all flat to down. The price of memory (DRAM) seems to be the only thing that is still going up. 🧵(1/2)

Bessent doesn't know that the U.S. Constitution leaves the power of the purse to Congress. He also claims $5k "dividends" can be sent to every adult American without any impact on the budget. Republicans must call for his resignation as Treasury Secretary.

Right. Dario was already claiming that GPT2 was too dangerous to open source back in 2019. I made fun of them then. Everyone should make fun of them now.

Our product, which we can’t sell at a profit, is so good it will kill us all. Or Our product, which we can’t sell at a profit, is going to bankrupt our company.

Exactly. The "escapes" were made possible either through egregious negligence or deliberate purpose (marketing? Misplaced hopes of regulatory capture?).

What OpenAI and Anthropic don't want you to know is that LLMs are well on their way to being commoditized, making their purveyors worth approximately zero.

What actually happened, all the labs have hit the scaling wall, they realize that they can’t keep up with China. So you push regulation so their trillion dollar investments don’t go up in smoke. Why do you think they keep postponing grok models and keep dumbing down models weeks after release? They have peaked, they are now realizing that they can’t surpass the scaling law and are doing whatever they can to keep afloat. The way you keep things afloat is by regulating access so that they don’t get their loans called in. Elon has been saying that self driving cars would be here every year for like 10 years. Hmm? Where is the unsupervised FSD Elon? You all can’t tell the future, a matter of fact, you all are actually terrible at it. Where is your AI cure for cancer? Where is your AI cure for anything useful? No where… but trust “us” it’s going to take over the world. Idiots. All of you, Elon included.

These guys are lying. LLMs have a mathematical performance ceiling. Getting closer to it costs more and more with every improvement. Long term, they cannot outpace open source models. Their only chance of survival is eliminating open source. Same thing happened to mainframes.

🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6

WTF 😅🚀😳 “98% of Astra’s score at 1.4% of cost” Cancel the fucking IPOs 😂

I just heard a pundit on a financial media outlet here in the US express to their viewers that we are still in the early innings of this bull market. Not only is that assessment wildly incorrect, but the pundit’s sentiment is eerily reminiscent of how Wall Street personalities communicated to their naive audience back in late 1999. This is the most overvalued, over-concentrated, and over-leveraged market in history. If you believe that adding fresh long positions to stocks will result in higher prices a couple of years from now, you are setting yourself up for significant losses. Source: Advisor Perspectives

Conservative Inc influencers after the group chat sends out the new talking points:

🦔Thomson Reuters just built its own AI model for about $40 million over two years. The final training run cost $450,000. They started with Qwen, an open-source model from China's Alibaba, and trained it on their own legal and news content from Westlaw, Practical Law, and Reuters. The company said the move is about reducing its dependence on Anthropic. Their CTO compared paying for outside AI to being a permanent tenant versus owning the building. Enterprise customers broadly have been cutting spending on OpenAI and Anthropic and switching to cheaper alternatives. My Take I covered the DeepSeek pricing collapse a few months ago and said the frontier labs would have a hard time defending premium API pricing once open-source got good enough. Thomson Reuters just did exactly what I expected someone to do. They grabbed a free model, trained it on their own stuff, and now they're pulling back from Anthropic. $40 million, done. Anthropic charges that in API fees from a handful of big customers in a year. The $190 to $200 billion revenue projection Anthropic is selling to IPO investors assumes companies like Thomson Reuters keep paying. They just stopped. And Thomson Reuters put their model on Hugging Face for academics to use, which means the playbook is now public. I think the frontier API business has maybe two or three years before most large companies with good data figure out they can do this themselves, and the ones who move first are going to pressure the ones still paying full price to ask why. Hedgie🤗

Americans woke up one day and decided to unleash this rabid dog on the world

RT @market_sleuth: In August of 2025, Bureau of Labor Statistics (BLS) Commissioner Erika McEntarfer was fired by Trump. Since that last CP…

The real reason why Trump’s base won’t budge despite the fact that he’s objectively the worst president in USA’s history, is becasue they believe an ethnic civil war is inevitable, and he’s on their side. That’s why he can do whatever he wants with total impunity and he knows it