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<div style="display: none; max-height: 0px; overflow: hidden;">OpenAI recently gave a sneak peek into its next model, named Astra. An internal version of the model was able to create breakthroughs </div>
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<h1><strong>TLDR <span id="date">2026-08-03</span></strong></h1>
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<strong>Apple Is Reinventing Itself as the World's Biggest Subscription Provider (14 minute read)</strong>
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Apple's new Apple Upgrade leasing program hints at the company's next era of growth. Due to memory shortages, hardware prices have increased, and prices are only going to get steeper. Apple appears to be changing the psychology of the purchase. Instead of asking customers to justify spending more than $1,000 on a device, it's asking whether they can afford roughly a dollar a day, which is a much easier decision.
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<strong>OpenAI's next major model Astra claims breakthroughs on 10 long-standing math problems (3 minute read)</strong>
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OpenAI recently gave a sneak peek into its next model, named Astra. An internal version of the model was able to create breakthroughs on 10 long-standing problems in mathematics and theoretical computer science. The total number of tokens used to discover all ten solutions would have cost around $2,000 at GPT-5.6 Sol API rates. Each solution was formalized in Lean, allowing them to be verified using the theorem-proving system.
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<strong>Montana's plan to become an experimental medical hub just pushed forward (14 minute read)</strong>
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Any biotech company with an experimental drug in Montana now has a clear path to selling it to consumers. Companies can now pay $12,500 to apply to a newly established board for approval, as long as the drugs have been through preliminary testing. The drugs will be sold via experimental treatment clinics, the first of which is likely to be open by the end of the year. Patients must provide fully informed consent, and each application must be reviewed by a board that includes a Montana-certified doctor, expert scientists, and an ethicist.
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<strong>A Tech Founder Wanted to Start a New Country. An Actual Country Got in the Way (12 minute read)</strong>
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Balaji Srinivasan, a tech founder, said that he believed the US was descending into anarchy, so he decided to build a new city from scratch. He started by creating a tech community in Malaysia, setting up a campus with co-working spaces, a high-end gym, and meals designed by longevity guru Bryan Johnson. Two years in, his vision is now colliding with reality. The project has been shut down over licensing issues. Within hours of the government announcement, Srinivasan signed an agreement to open a campus in Kazakhstan.
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GitHub Stacked PRs break large changes into a chain of small, reviewable pull requests that build on each other. gh stack is a GitHub CLI extension for managing stacked branches and pull requests. It automates creating branches, keeping them rebased, setting correct PR base branches, and navigating between layers. gh stack offers AI agent integration.
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<strong>Devtools must be open source (8 minute read)</strong>
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Before AI, development costs made it rational for complex software to ship with large configuration files, extension systems, and plug-in systems. Now, the cost of creating software and making changes has dropped dramatically. Software that can be personalized doesn't need a plugin system or config file. Users can just make the changes they need themselves, with the help of agents if required.
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Over 1M subscribers read TLDR AI to stay on top of the latest in AI models, research, engineering, and more. If you work in AI and want to help curate it, send your LinkedIn or resume to <a href="mailto:ai@tldr.tech?utm_source=tldrnewsletter">ai@tldr.tech!</a>
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<strong>Larry Ellison Bet It All on the AI Boom. Will He Be the Face of the AI Bubble? (47 minute read)</strong>
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When Trump came into office, he took the guardrails that were hindering AI development, and Larry Ellison cashed in by signing several large infrastructure deals. This big bet on AI was built on an astronomical amount of debt in every imaginable form. The hypothesis was that whoever controlled the most computing power would control the AI economy. Investors have started questioning whether this level of spending is sustainable in recent weeks and are concerned about whether the money being pumped into data centers will ever return the promised profits.
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<strong>His Wedding Guests Were Arriving—Just as His $45 Billion Fund Was Falling Apart (17 minute read)</strong>
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Leopold Aschenbrenner had planned a multiday celebration for his wedding, but his fund started unraveling just when guests started to arrive. The 24-year-old investor had built a $45 billion investment powerhouse that primarily bought stocks in the AI trade. The firm borrowed too much money to make these AI bets, leaving it at risk as they faltered. Citadel then swooped in and purchased the vast majority of the firm's public stock portfolio at a discount of more than 10% to the market value of those shares. The firm is left with a portfolio of stocks and stakes in startups valued at more than $10 billion, but it is still alive.
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