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Touchscreen MacBook Pro π», Waymo to 5x fleet π, inference cost cuts π¨βπ»
Apple will be holding a product launch event on October 28 to debut its first touch-screen MacBook. The company will also introduce a new low-
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Sign Up |Advertise|View Online TLDR Together With TLDR 2026-10-20 CI is dead. Long live CI. (Sponsor) Everyone's talking about the bottleneck shifting... our customers just want something stable as they scale, with actually good DX, that gets out of the way. Buildkite is the pro-tool for CI orchestration, and when you're setup, you can forget we exist. Programmable primitives you control. No compromises. Good enough for Cursor, OpenAI, Anthropic, Perplexity, Nvidia, Uber, Airbnb and more. Build and test faster, more securely, more reliably, with the CI engineered for frontier scale, used by the teams setting the pace. You deserve better CI. Start with our 30 day trial β π± Big Tech & Startups Apple Announces Oct. 28 Event for Touch-Screen MacBook Pro (2 minute read) Apple will be holding a product launch event on October 28 to debut its first touch-screen MacBook. The company will also introduce a new low-end MacBook Pro with an M6 chip, a refreshed iMac, and a revamped iPad mini with a sharper screen. Apple retail stores are preparing to begin selling new products on November 6. The new touch MacBooks, which will run on M5 Pro and M5 Max chips, will have a Dynamic Island interface, as well as a sharper OLED display. Waymo plans to quintuple its fleet (1 minute read) Waymo plans to grow its fleet to 20,000 by the end of next year. It recently raised $5 billion from private credit lenders to achieve this goal. The company has already ordered thousands of cars from China to help expand its fleet. Waymo currently operates 4,000 vehicles in 15 cities in the US. π Science & Futuristic Technology AI Proved the Quasi-Riemann Hypothesis. What Happens Now? (6 minute read) The quasi-Riemann hypothesis is a weaker version of the Riemann hypothesis, arguably the biggest open question in math. Resolving the Riemann hypothesis would enable mathematicians to better understand the nature of prime numbers. OpenAI's recently released proof for the quasi-Riemann hypothesis is the most significant AI-for-math achievement so far, by quite a margin. The vast majority of the consequences of resolving it already follow from solving the quasi-Riemann hypothesis. Startup taps underwater volcano as energy source in βproof pointβ test (11 minute read) Endurance Energy, a Seattle-based startup, recently demonstrated the technical feasibility of using an active underwater volcano to generate electricity. The startup deployed a 3-ton prototype power plant at the Axial Seamount in the northeast Pacific Ocean in September and generated less than 10 seconds of net-positive electricity. The company's next trial run, planned for the winter of 2026 to 2027, will aim to sustain higher power generation. It is currently developing a 2-megawatt commercial generator for its first planned commercial deployment with the Kingdom of Tonga in 2027. π» Programming, Design & Data Science Get 25% more from your training GPUs (Sponsor) Most large-scale training runs waste more than half the compute they pay for. Lambda's engineers found why and built a reproducible framework that lifts efficiency 25%+ without changing the model. Fix memory waste, misconfiguration, and GPU bottlenecks. Get the whitepaper. Introducing Clairic, a new System One class of extraction models (16 minute read) Clairic is an extraction model. Extraction models are a new class of System One-style models that can extract, compute, estimate, and forecast values from unstructured inputs, all at significantly higher accuracy, faster latency, and lower cost than traditional LLMs. It answers with values directly extracted from the input, computed from it, or predicted beyond it. The model can't produce a mistyped answer or hallucinate in the same way an LLM can, but it can still make mistakes. Cutting our inference bill by 68% by being obsessive about optimization (15 minute read) Cloudflare lowered its average review cost from $2.43 to $0.77. The biggest single saving came from