Microsoft CEO Satya Nadella wrote that a company renting an AI model “essentially pays for intelligence twice”: Once in money, and again in the proprietary knowledge it has to reveal to make the model useful. This mechanism is called the learning loop: every prompt and correction captures some of the company's know-how. That knowledge is distilled and, with a closed model, the provider keeps that information. If your usage data is worth more than the token cost to serve, providers might end up paying you to use their models. The precedent exists: OpenAI created an opt-in program that gives accounts up to 1M free tokens a day on certain models in exchange for training rights on that traffic. Chips can be rented and algorithms can be leaked or distilled, but the prompts and corrections flowing through a model compound privately for whoever holds them.

This guy coaches Sam Altman. He also works with leaders at Anthropic, Google, Apple, and SpaceX. I sat down with him to learn how he coaches billion dollar businesses. Here are Joe Hudson’s 7 operating rules: 1. Kill your 1:1s These meetings lead individuals to solve problems instead of the team. Much better to bring problems to the whole team so everyone feels responsible for solving them. I agree, haven’t done them for years... 2. Rotate who runs recurring meetings When the same person always leads, people focus on pleasing or rebelling against them. Spreading the authority makes everyone accountable to the team instead. 3. Give anyone the power to change a bad meeting Everyone already knows when a meeting isn’t working (and usually why). Giving people permission to say it makes meetings more effective. 4. Make every employee run at least 5 experiments a quarter on their own job It makes the team more productive, keeps people interested, and helps retain smart employees who would otherwise get bored. 5. Ask your team to push back on your ideas If you try to sell them on the idea, they may nod in the room and do nothing afterward. Asking for objections tests the idea + gets everyone aligned before you commit to it. 6. Start by building the part you understand the least If you leave the confusing part until the end you might find out it doesn’t fit and have to rebuild everything around it. 7. End every email with an action needed Name the person responsible, the action they need to take, and the deadline. Joe says this rule increased productivity in his business by 35 to 40%. Thanks for coming on @FU_joehudson and sharing how you run your business. Search “BigDeal pod” on youtube.

Opus 5.5 one shot my @AwakenTax ledger, 2018-present, 18,860 transactions across 68 different wallets and accounts, 100% cost basis tracking, full reconciliation, absolutely unbelievable. Never thought I'd see the day. Thank you @AnthropicAI for your sublime new release and thank you @big_duca for your incredible accounting service and agent integration!

The people yearn for sprint planning meetings

Lose the attitude, embrace optimism. Doctor's orders!

My conversation with Luca Ferrari, co-founder of Bending Spoons. 0:00 Fanatical founders building enduring companies 1:23 Luca on building the best company there ever was 4:22 The origins of Bending Spoons 5:47 Talent and why experience is overrated 15:05 Turning hiring into a science 23:30 Why Bending Spoons doesn't use bonuses 29:26 Why everyone in the company has the same job 42:41 On finding great potential and saturating their capacity 49:50 Insisting on a culture of extreme ownership 59:28 Luca's principle of relentless simplification 1:05:15 Why Bending Spoons doesn't use job titles 1:10:27 The proprietary operating system behind Bending Spoons 1:17:07 Why Bending Spoons isn't private equity 1:19:32 How Bending Spoons acquired & transformed Evernote 1:28:01 How Bending Spoons uses AI 1:40:42 How Bending Spoons thinks about capital allocation 1:43:50 Why procrastination without laziness is good 1:46:46 Operational excellence is not optional 1:49:07 How Bending Spoons negotiates acquisitions 1:54:47 Logic over numbers Includes paid partnerships.

This post looks like the start of a VERY sophisticated and well-funded PR operation to get support for Democrats to regulate AI into oblivion. Let me show you how it works: 1.) This guy, with minimal followers and no previous account activity, goes to the Wall Street Journal which publishes an exclusive with quotes from him on his resignation 18 minutes BEFORE this post goes up. Planning was clearly done in advance. 2.) Within hours, it has tens of thousands of reposts and the account has 100k+ followers. The post is punchy, quotable, it almost seems professionally written. The first three accounts to quote tweet it all do so within 15 minutes of the initial posting. Remember, this account had basically zero engagement beforehand, so an organic reach explanation seems unlikely. According to Grok those accounts are @_NathanCalvin (General Counsel at Encode AI), @peterwildeford (Head of Policy at the AI Policy Network), and @DKokotajlo (Head of the AI Futures Project), all of which are up-and-coming AI-Doomer policy advocacy nonprofits. The AI Futures Project website says it is funded “primarily” by the Survival and Flourishing Fund, which says on its own website that it has advised Jaan Tallinn, Skype creator and one of the leading investors in Anthropic, to grant over $2.5 million to the AI Futures Project since 2024. Encode AI says on its website that it is ALSO funded by the Survival and Flourishing Fund, which in turn says that it told Anthropic investor Jaan Tallinn to grant $516,000 to Encode AI in 2025. And wouldn’t you know it, the Survival and Flourishing Fund ALSO says it told Jaan Tallinn to grant $2 million to the AI Policy Institute, the 501(c)(3) affiliate of the AI Policy Network, as well. What are the odds that the first three quote tweets of Coxon’s post would all be major AI-restriction policy advocates funded generously by the same donor, who also happens to be one of the leading investors in, and a board member of, Anthropic, the company Coxon was resigning from? And all within 15 minutes of posting (two within ten)? 3.) Jacob Coxon doesn’t have much of a resume, but we do know that, in 2022, he got a $20,159 scholarship for the “long term future scholarship program” from the Good Ventures Foundation, one of the philanthropic vehicles of Dustin Moskovitz, a notorious AI-doomer who has spent tens if not hundreds of millions on policy advocacy to strictly regulate AI, while also being an Anthropic Investor himself. It also just so happens that the 14th person to quote Coxon’s post was @MaxNadeau_ (27 minutes after posting) who is the program officer for the Technical AI Safety team at Coefficient Giving, another of Moskovitz’s philanthropic spending vehicles. Max is not a frequent poster, his last posts before quoting Coxon were before Labor Day, but he was remarkably quick off the mark for this one. 4.) Basically every major Democrat politician and candidate has suddenly glommed on to this post, and conveniently, as the people cry out foe answers, Bernie Sanders already has a bill written to “ban super intelligence” and regulate AI into oblivion, and will be releasing later this week. The bill, among many other things, will create “a new cabinet-level federal agency to safeguard the public from the dangers of artificial intelligence” that will be “advised by an Artificial Intelligence Advisory Board comprised of experts on artificial intelligence.” Do you think, perhaps, Anthropic and its many investors who fund AI policy advocacy might have interest in getting to place a pet “expert” on the board of an entity that dictates what AI is and isn’t allowed to do? And isn’t it fortuitous that this whistleblower came forward with his oh-so scary stories so close in proximity to the release of the most radical piece of AI legislation ever introduced?

JUST IN: Garry Tan says one father built the realest AGI demo yet. ▫️ Son has rare epilepsy. No lab, no grant, no permission ▫️ 80,000 markdown files indexing every seizure, paper, and drug interaction A father, a laptop, and a library. That's Personal AGI. Check the full breakdown here 👇 the-ai-corner.com/p/garry-ta…

Robinhood apparently is behind an effort related to “tokenized real-world assets including Stock Tokens” for AMC Entertainment (and supposedly 190+ other companies). They are not registered under U.S. securities laws !!!!!! I find this practice to be contemptible, outrageous, disgusting, detestable, inexcusable, vile. How can it possibly be legal? We have no connection to this at all, and do not condone it in any way. We immediately are going to have our outside securities counsel look into this. docs.robinhood.com/rhj Stock Tokens are not registered under U.S. securities laws and may not be offered, sold, or delivered, directly or indirectly, in the United States or to, or for the account or benefit of, U.S. persons. Offers and sales of Stock Tokens are subject to restrictions in other jurisdictions, including, without limitation, Canada, the United Kingdom, and Switzerland. A full list of the jurisdictions in which offers or sales are restricted or prohibited is available here: docs.robinhood.com/rhj Robinhood Assets (Jersey) Limited is a private limited company incorporated in Jersey, with its registered address at First Floor, La Chasse Chambers, Ten La Chasse, St. Helier, JE2 4UE, Jersey. The Issuer is registered under the registration number 162428. Stock Tokens have not been and will not be registered under the U.S. Securities Act of 1933, as amended from time to time (the "Securities Act") or with any securities regulatory authority of any state or other jurisdiction of the United States. Stock Tokens may not be offered, sold or delivered within the United States to, or for the account or benefit of U.S. Persons (as defined in Regulation S under the Securities Act ("Regulation S")), and (ii) may be offered, sold or otherwise delivered at any time only outside of the United States and to transferees that are not U.S. Persons (as defined in Regulation S)…. ©2026 Robinhood Markets, Inc. All rights reserved.

One solution is to train the AI to write like you. Specifically: 1. Ask your agent to assemble everything you've ever written. Docs + Slack + X + Other. 2. Then have it write a markdown profile on you, your style and beliefs. 3. Then when it writes, ask it to pull specific words and phrases from what you've written in the past. HT @rwitoff

Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.