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TLDR technology newsletter

A daily roundup of technology and science stories, grouped by topic with brief summaries and reading times. Sponsored placements and quick links appear alongside the editorial picks.

TLDR

Day 10 after signup

Inside GTA πŸš—, Anthropic revenue jump πŸ“ˆ, agentic verification πŸ€–

GTA VI is expected to be one of the biggest entertainment releases in history when it comes out on November 19. Its immediate predecessor is

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Sign Up |Advertise|View Online TLDR Together With TLDR 2026-10-15 Stop screenshotting slides mid-call (Sponsor) Granola, the AI notepad for people in back-to-back meetings, now captures what's shared on screen too. With Snapshots, the decks, designs, charts and docs from your calls go straight into your notes. Ask Granola about last week's roadmap review and the slides come back with the answer. Download Granola and try it in your next meeting. Free month with the code TLDR1MO. πŸ“± Big Tech & Startups The Making of Grand Theft Auto VI (28 minute read) GTA VI is expected to be one of the biggest entertainment releases in history when it comes out on November 19. Its immediate predecessor is the best-selling nonmobile game of all time. The game's release is causing other entertainment companies to delay products until next year because they know GTA VI will suck up the planet's attention for most of November. It will almost certainly be the most expensive video game ever created. This article looks at how Rockstar Games built what is expected to be the biggest video game blockbuster of all time. Anthropic Says Revenue Jumped 45% to $16.8 Billion in Third Quarter (4 minute read) Anthropic told investors recently that the company's revenue for the third quarter jumped about 45% from the prior quarter to $16.8 billion. The AI lab is currently pursuing what may become the largest-ever initial public offering. Its IPO could value the company at $2 trillion. The San Francisco company is expected to begin trading as early as next month. A successful launch from Anthropic could reopen the door for other listings and provide a vote of confidence for the industry. πŸš€ Science & Futuristic Technology 28 Miles and Counting: NASA's Perseverance Rover Sets a Mars Driving Record (7 minute read) NASA's Perseverance rover has now driven 28.1 miles on Mars' surface, surpassing the distance that Opportunity covered from 2004 to 2018. Perseverance landed on Mars in February 2021 and has been traveling in and around the Jezero Crater since. It was set to surpass the driving record back in August, but it came across some interesting rocks, so it dawdled for two months. Perseverance most likely still has many miles to go in the coming years. This article contains some of the highlights from its drive so far. Things are finally looking up for NASA's first missions to Venus in a generation (13 minute read) Two NASA missions are on track to launch to Venus in the early 2030s. The Deep Atmosphere Venus Investigation of Noble gases, Chemistry, and Imaging (DAVINCI), which will send a parachute-assisted descent probe through Venus' atmosphere, is now scheduled for launch in December 2030. The Venus Emissivity, Radio science, InSAR, Topography, And Spectroscopy (VERITAS) mission will launch in November 2032 to map the Venusian surface by radar from orbit. The European Space Agency is building an orbiter for launch to Venus in 2032, and Rocket Lab plans to launch a privately funded probe as soon as next year to search for signs of organic material in the planet's clouds. πŸ’» Programming, Design & Data Science State of Product reveals what AI still hasn't solved (Sponsor) 99% of product teams have fully integrated AI into at least one workflow. As AI becomes part of everyday work, it's expanding what PMs, designers, and engineers can do and changing how they work together. Atlassian's State of Product 2027 explores what comes after adoption, from broader roles to harder choices about where teams should focus. Read the report Code you didn't write (3 minute read) Being able to tell clean code from messy code is still useful, but it's becoming something that tools can help with. Knowing what shape a program should have before anyone writes it is something AI still can't do yet. The best way to get better at AI coding might be to spend more time thinking about problems and less time thinking about prompts. The programmers that get the most o

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