President Trump's 2026 budget proposes over $1 billion for Mars exploration through a new Commercial Mars Payload Services Program, while simultaneously slashing NASA's overall budget by 25%. Phys.Org reports: Under the proposal, NASA would award contracts to companies developing spacesuits, communications systems and a human-rated landing vehicle to foster exploration of the Red Planet. Trump's proposed $18.8 billion NASA budget would cut the agency's funding by about 25% from the year before, with big hits to its science portfolio. The fleshed-out request on Friday builds upon a condensed budget proposal released earlier this month. "We must continue to be responsible stewards of taxpayer dollars," NASA Acting Administrator Janet Petro wrote in a letter included in the request. "That means making strategic decisions -- including scaling back or discontinuing ineffective efforts." The new Mars scheme is modeled after NASA's Commercial Lunar Payload Services program that has benefited Intuitive Machines LLC, Firefly Aerospace Inc. and Astrobotic Technology Inc., though it has achieved mixed results. According to the budget, the contract to land on Mars would build upon existing lander contracts. America's Next NASA Administrator Will Not Be Former SpaceX Astronaut Jared Isaacman

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"If the adoption of AI feels different from any tech revolution you may have experienced before — mobile, social, cloud computing — it actually is," writes TechCrunch. They cite a new 340-page report from venture capitalist Mary Meeker that details how AI adoption has outpaced any other tech in human history — and uses the word "unprecedented" on 51 pages: ChatGPT reaching 800 million users in 17 months: unprecedented. The number of companies and the rate at which so many others are hitting high annual recurring revenue rates: also unprecedented. The speed at which costs of usage are dropping: unprecedented. While the costs of training a model (also unprecedented) is up to $1 billion, inference costs — for example, those paying to use the tech — has already dropped 99% over two years, when calculating cost per 1 million tokens, she writes, citing research from Stanford. The pace at which competitors are matching each other's features, at a fraction of the cost, including open source options, particularly Chinese models: unprecedented... Meanwhile, chips from Google, like its TPU (tensor processing unit), and Amazon's Trainium, are being developed at scale for their clouds — that's moving quickly, too. "These aren't side projects — they're foundational bets," she writes. "The one area where AI hasn't outpaced every other tech revolution is in financial returns..." the article points out. "[T]he jury is still out over which of the current crop of companies will become long-term, profitable, next-generation tech giants."

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