Peter Yang released a new episode of his conversation with investor and creator Anthony Pompliano, who is now the founder of Silvia, an AI CFO product for independent investors. The two discussed how AI startups can build lasting moats and compete with leading AI labs, as well as how to hire AI-native talent. Pompliano described résumé-polished hires from big companies as "like a car crash," and said AI makes users willing to ask any financial question.
AI has made the speed of generating strategy, code, and creative work essentially free, filling in the moats built on blitzscaling. Citing Shimano—founded in 1921 and focused for a century on only bicycles and fishing tackle—the article argues that companies should choose depth over breadth like the Japanese "shokunin" (artisans), and first figure out "what must never be automated." The author believes AI raises the floor, while craftsmanship thinking raises the ceiling.
In a Fortune commentary, tech investor Sarah Cannon proposed creating "innovation accounts," modeled on the Trump Accounts for newborns, in which government or philanthropic funds would invest $1,000 or $5,000 for adults in a tech-stock index, so that more people can share in the wealth gains brought by AI. She estimates that covering all Americans aged 18 and older with $1,000 accounts would cost about $270 billion; if limited to people with household wealth below $500,000, the cost would fall to about $190 billion. The article also mentions that OpenAI once proposed letting the government hold up to 5% of the company's shares, but the author believes direct individual shareholding is more appropriate.
In a Fortune commentary, tech investor Sarah Cannon proposed creating "innovation accounts," modeled on the Trump Accounts for newborns, in which government or philanthropic funds would invest $1,000 or $5,000 for adults in a tech-stock index, so that more people can share in the wealth gains brought by AI. She estimates that covering all Americans aged 18 and older with $1,000 accounts would cost about $270 billion; if limited to people with household wealth below $500,000, the cost would fall
Cerebras CEO and founder Andrew Feldman recounted the company's startup journey: first they couldn't build it, then they couldn't build it at scale, and then there were no customers, no frontier labs, no hyperscalers. Cerebras spent about $8 million a month for 18 consecutive months developing a chip that didn't work properly at the time, while holding a board meeting every six weeks to report to anxious investors.
Google has released its flagship model Gemini 4 Argon, focused on coding, professional knowledge work, and sustained execution of complex tasks. The API launch price is $2 per million input tokens and $10 per million output tokens, with the discount running through November 30; from December 1, prices return to $4 and $20. On the third-party Artificial Analysis Intelligence Index, Argon High ties with GPT-6 Astra Max and Claude Fable5.1 Max at 53 points, at an average cost of $1.99 per task, about 39% lower than Astra. Google says that on an ADK project it worked unattended continuously for 11 hours, proposed six optimization plans involving 32 files, and ran 16,892 tests, two of which were merged, reducing long-session memory preparation overhead by about 40%.
Google has released its flagship model Gemini 4 Argon, focused on coding, professional knowledge work, and sustained execution of complex tasks. The API launch price is $2 per million input tokens and $10 per million output tokens, with the discount running through November 30; from December 1, prices return to $4 and $20. On the third-party Artificial Analysis Intelligence Index, Argon High ties with GPT-6 Astra Max and Claude Fable5.1 Max at 53 points, at an average cost of $1.99 per task, abo
Viggle AI has announced that its new model Viggle Animate 2 is opening a limited number of private beta spots, available only this weekend. Users can reply or send a direct message to apply for early access, and are required to provide feedback on their experience and share their creations on X.
Melissa Stevens, Executive Vice President of Strategic Philanthropy at the Milken Institute, believes that the upcoming IPOs of Anthropic and OpenAI, each valued at at least $1 trillion, will spur a new wave of charitable giving, expected to add $37 billion annually to the philanthropic sector. Citing data showing U.S. charitable giving reached $617 billion in 2026, she advises newly wealthy tech professionals to first establish a giving identity aligned with their own values, and then address complex issues such as hunger and plastic pollution through systematic approaches.
Melissa Stevens, Executive Vice President of Strategic Philanthropy at the Milken Institute, believes that the upcoming IPOs of Anthropic and OpenAI, each valued at at least $1 trillion, will spur a new wave of charitable giving, expected to add $37 billion annually to the philanthropic sector. Citing data showing U.S. charitable giving reached $617 billion in 2026, she advises newly wealthy tech professionals to first establish a giving identity aligned with their own values, and then address c