🏛 OPENAI LAUNCHES A BLOG ABOUT LOSING POWER
On 20 August OpenAI put up AI Futures, the blog of a new Strategic Futures team, with a first post by Dean Ball carrying an unusual note at the top: these are the author's views, not the organisation's.
The question it sets itself is neither alignment nor jobs. It is how a free society should be restructured so that individuals keep their rights and their agency once transformative AI arrives — what the field files under concentration of power risks.
⚖️ The argument runs through history rather than benchmarks. Political power has always rested on human beings — soldiers, police, clerks — and on taxes collected from human labour. Ball quotes Hume: rulers have "nothing to support them but [popular] opinion." Consent was never a courtesy, it was load-bearing.
Autonomous systems remove the load. A state that can project force without willing soldiers, fund itself from data-centre output rather than wages, and run its bureaucracy on machines no longer needs a society-wide bargain at all. Madison's "parchment barriers" would be all that is left.
🤔 An AI lab publishing the sharpest case against concentrated power is either admirable candour or excellent positioning. The two are rarely in conflict 🎭
🤖 Next Move AI | #AI
On 20 August OpenAI put up AI Futures, the blog of a new Strategic Futures team, with a first post by Dean Ball carrying an unusual note at the top: these are the author's views, not the organisation's.
The question it sets itself is neither alignment nor jobs. It is how a free society should be restructured so that individuals keep their rights and their agency once transformative AI arrives — what the field files under concentration of power risks.
⚖️ The argument runs through history rather than benchmarks. Political power has always rested on human beings — soldiers, police, clerks — and on taxes collected from human labour. Ball quotes Hume: rulers have "nothing to support them but [popular] opinion." Consent was never a courtesy, it was load-bearing.
Autonomous systems remove the load. A state that can project force without willing soldiers, fund itself from data-centre output rather than wages, and run its bureaucracy on machines no longer needs a society-wide bargain at all. Madison's "parchment barriers" would be all that is left.
🤔 An AI lab publishing the sharpest case against concentrated power is either admirable candour or excellent positioning. The two are rarely in conflict 🎭
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📊 ANTHROPIC WINS THE LOGOS, OPENAI WINS THE INVOICE
Ramp's August AI Index, built from what its corporate customers actually pay for, puts Anthropic at 43.5% of eligible US businesses in July, up 1.1 points on the month, against OpenAI at 39.7%, up 0.23. xAI sits at 4%.
So Anthropic keeps extending its lead on adoption. Then you look at what the money does inside each vendor. GPT-5.6 Sol took 25% of OpenAI tokens and 23% of OpenAI spend. Anthropic's newer Fable 5, a month after launch, took 6% of Anthropic tokens and 11.4% of the dollars.
⚠️ Two caveats worth carrying. Ramp only sees its own customers, and its economist notes this particular sample "skews slightly more tech-y" than usual. Separately, TechCrunch reported on 20 August that OpenAI has been growing faster than Anthropic so far in Q3.
📈 The honest summary: signing up is cheap, tokens are not. Share counted in logos and share counted in invoices are two different races, and right now nobody is winning both 🧾
🤖 Next Move AI | #News
Ramp's August AI Index, built from what its corporate customers actually pay for, puts Anthropic at 43.5% of eligible US businesses in July, up 1.1 points on the month, against OpenAI at 39.7%, up 0.23. xAI sits at 4%.
So Anthropic keeps extending its lead on adoption. Then you look at what the money does inside each vendor. GPT-5.6 Sol took 25% of OpenAI tokens and 23% of OpenAI spend. Anthropic's newer Fable 5, a month after launch, took 6% of Anthropic tokens and 11.4% of the dollars.
⚠️ Two caveats worth carrying. Ramp only sees its own customers, and its economist notes this particular sample "skews slightly more tech-y" than usual. Separately, TechCrunch reported on 20 August that OpenAI has been growing faster than Anthropic so far in Q3.
📈 The honest summary: signing up is cheap, tokens are not. Share counted in logos and share counted in invoices are two different races, and right now nobody is winning both 🧾
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🔌 THE PLUMBING OF AI AGENTS HAS ONE LANDLORD NOW
Two protocols matter if you build agents. MCP, Anthropic's Model Context Protocol, connects a model to tools, data and applications. A2A, Google's Agent2Agent, does the other half: one agent asking another to take on a task and hand the result back.
🏠 As of August they live under the same roof — the Agentic AI Foundation, the Linux Foundation body launched on 9 December 2025 around MCP, Block's goose agent framework and OpenAI's AGENTS.md. Platinum members include AWS, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft and OpenAI, which is to say everyone.
Google had already handed A2A to the Linux Foundation back in June 2025, so this is a question of which house it sits in, not who owns it.
Why does anyone care? Because more than 10,000 MCP servers have been published, and an integration standard only pays off when no single vendor can quietly fork it into a moat. Neutral governance is boring on purpose.
🧰 The defining artefact of the agent era may turn out not to be a model at all, but a config file 📄
🤖 Next Move AI | #Tech
Two protocols matter if you build agents. MCP, Anthropic's Model Context Protocol, connects a model to tools, data and applications. A2A, Google's Agent2Agent, does the other half: one agent asking another to take on a task and hand the result back.
🏠 As of August they live under the same roof — the Agentic AI Foundation, the Linux Foundation body launched on 9 December 2025 around MCP, Block's goose agent framework and OpenAI's AGENTS.md. Platinum members include AWS, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft and OpenAI, which is to say everyone.
Google had already handed A2A to the Linux Foundation back in June 2025, so this is a question of which house it sits in, not who owns it.
Why does anyone care? Because more than 10,000 MCP servers have been published, and an integration standard only pays off when no single vendor can quietly fork it into a moat. Neutral governance is boring on purpose.
🧰 The defining artefact of the agent era may turn out not to be a model at all, but a config file 📄
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🎒 OPENAI BUILDS A CHATGPT FOR TEENAGERS
On 18 August OpenAI launched ChatGPT for Teens — a separate experience with built-in protections, features meant to promote healthy use, and extra controls for parents — alongside a partnership with the computing-education organisation CodeAI.
📉 The gap they point at is real enough. Most students already use AI, but only 16% of high school leaders say all of their students are being taught the technical knowledge to understand it. In CodeAI's own survey, 75% of high schoolers said understanding AI will matter more to their future than it does today.
The programme itself: a joint advisory council on child development and learning science, the Hour of AI aimed at millions of students, and a first Builders Challenge where teenagers build with AI and get mentored by OpenAI staff.
🗣 CodeAI's chief executive Karim Meghji put the goal bluntly: "Every student should know how AI actually works and be able to question the technology, catch its mistakes, and know when to stop trusting it."
Teaching a generation when to distrust your own product is an odd marketing strategy. It is also the only honest one 🍎
🤖 Next Move AI | #News
On 18 August OpenAI launched ChatGPT for Teens — a separate experience with built-in protections, features meant to promote healthy use, and extra controls for parents — alongside a partnership with the computing-education organisation CodeAI.
📉 The gap they point at is real enough. Most students already use AI, but only 16% of high school leaders say all of their students are being taught the technical knowledge to understand it. In CodeAI's own survey, 75% of high schoolers said understanding AI will matter more to their future than it does today.
The programme itself: a joint advisory council on child development and learning science, the Hour of AI aimed at millions of students, and a first Builders Challenge where teenagers build with AI and get mentored by OpenAI staff.
🗣 CodeAI's chief executive Karim Meghji put the goal bluntly: "Every student should know how AI actually works and be able to question the technology, catch its mistakes, and know when to stop trusting it."
Teaching a generation when to distrust your own product is an odd marketing strategy. It is also the only honest one 🍎
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🧠 THE FIRST NEURAL NET GOT A PRESS RELEASE IN 1958
Frank Rosenblatt, a psychologist at the Cornell Aeronautical Laboratory, unveiled the Mark I Perceptron: a machine that learned from examples instead of following instructions. Its eye was a 20x20 grid of 400 photocells. Its weights were potentiometers, wired up at random and physically turned by electric motors as it trained.
📰 On 8 July 1958 The New York Times ran it under the headline "New Navy Device Learns By Doing", and reported the expectation that such machines would eventually walk, talk, see, write, reproduce themselves and be conscious of their existence.
What the machine could actually do at the time was tell cards marked on the left from cards marked on the right.
❄️ Then in 1969 Marvin Minsky and Seymour Papert published Perceptrons, pointing out that a single-layer network cannot even learn XOR. Funding drained away, and neural networks spent most of two decades in the wilderness before backpropagation dragged them back out.
Sixty-eight years on, the hardware is unrecognisable and the press releases are word for word the same 🗞
🤖 Next Move AI | #Facts
Frank Rosenblatt, a psychologist at the Cornell Aeronautical Laboratory, unveiled the Mark I Perceptron: a machine that learned from examples instead of following instructions. Its eye was a 20x20 grid of 400 photocells. Its weights were potentiometers, wired up at random and physically turned by electric motors as it trained.
📰 On 8 July 1958 The New York Times ran it under the headline "New Navy Device Learns By Doing", and reported the expectation that such machines would eventually walk, talk, see, write, reproduce themselves and be conscious of their existence.
What the machine could actually do at the time was tell cards marked on the left from cards marked on the right.
❄️ Then in 1969 Marvin Minsky and Seymour Papert published Perceptrons, pointing out that a single-layer network cannot even learn XOR. Funding drained away, and neural networks spent most of two decades in the wilderness before backpropagation dragged them back out.
Sixty-eight years on, the hardware is unrecognisable and the press releases are word for word the same 🗞
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🕵️ SUPERMICRO CLEARS ITSELF, FIRES PEOPLE ANYWAY
Super Micro Computer said on 20 August that a board-led independent investigation found no evidence current senior management knew about an alleged scheme to smuggle $2.5 billion of Nvidia-equipped hardware into China.
The same announcement said the company had taken "several personnel actions... including terminations" among staff in sales, technical support and business development, for failing to follow company policy. Both sentences, one press release.
⚖️ The backdrop: in March the US Justice Department indicted co-founder and board member Yih-Shyan "Wally" Liaw, who pleaded not guilty and now faces trial in March 2027. Supermicro has since received a federal grand jury subpoena and an SEC document request, and four employees were reportedly detained for questioning in Taiwan.
Bernstein's Mark Newman summarised it for Fortune with admirable economy: "They basically said, 'nothing to see here.'"
📎 This is the second internal investigation in two years to clear Supermicro's own management. At some point proving your innocence stops being an event and becomes a line item 🧮
🤖 Next Move AI | #News
Super Micro Computer said on 20 August that a board-led independent investigation found no evidence current senior management knew about an alleged scheme to smuggle $2.5 billion of Nvidia-equipped hardware into China.
The same announcement said the company had taken "several personnel actions... including terminations" among staff in sales, technical support and business development, for failing to follow company policy. Both sentences, one press release.
⚖️ The backdrop: in March the US Justice Department indicted co-founder and board member Yih-Shyan "Wally" Liaw, who pleaded not guilty and now faces trial in March 2027. Supermicro has since received a federal grand jury subpoena and an SEC document request, and four employees were reportedly detained for questioning in Taiwan.
Bernstein's Mark Newman summarised it for Fortune with admirable economy: "They basically said, 'nothing to see here.'"
📎 This is the second internal investigation in two years to clear Supermicro's own management. At some point proving your innocence stops being an event and becomes a line item 🧮
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