Welcome to June 3, 2026

The Singularity has reached the stage where governments would rather benchmark it than license it. The White House issued an executive order, “Promoting Advanced Artificial Intelligence Innovation and Security,” directing agencies to build a classified test of AI cyber capabilities and to invite developers to voluntarily share “covered frontier models” for up to 30 days before release, while forbidding any mandatory licensing regime. Politico read the lighter touch as the AI industry’s latest win in dodging heavier federal oversight. The labs, freed from preclearance, are racing to feed the machines instead. Google is quietly buying code from Play Store developers to train its coding tools, and Microsoft launched its seven-model MAI family, including a reasoning model it claims beats Sonnet 4.6, a 5-billion-parameter coder cheaper than Haiku, an image model surpassing Nano Banana Pro, and the world’s fastest transcription engine across 43 languages.

Some mathematicians, meanwhile, are showing signs of a siege mentality. Sixteen of them, backed by the International Mathematical Union, published the Leiden Declaration on AI and Mathematics, asking the field to disclose AI use and keep humans accountable for correctness, arriving weeks after a model disproved an 80-year-old Erdős conjecture. The New York Times read it plainly, as a sign that even higher mathematics is now exposed to upheaval from AI.

Mathematics was only the leading indicator, and the rest of knowledge work is catching up. OpenAI’s Codex now ships “Sites,” a Lovable competitor that turns anyone’s prompt into a deployed app at a live URL. A Stanford blind study found law professors preferred AI answers to student legal questions in roughly 75% of 3,000 comparisons, flagging them as harmful a third as often as human ones. Preference measured in a study becomes behavior at planetary scale. ChatGPT became the fastest app ever to a billion monthly users, even as Claude’s smaller base compounds far faster at 640% a year. Codex itself passed 5 million weekly users, and OpenAI bolted on six role-specific plugins so analysts, marketers, salespeople, and bankers can all work without writing code. Microsoft answered from the operating system down, launching Scout, an always-on assistant across Outlook and Teams, Project Solara for agent-first devices, and Execution Containers, a Windows-level sandbox already adopted by OpenAI, Nvidia, Manus, and Nous Research. Anthropic is expanding Project Glasswing, opening its Claude Mythos Preview to roughly 150 organizations across power, water, healthcare, and other newly defended sectors.

All of this autonomy runs on borrowed silicon and borrowed money. Broadcom’s pledge to backstop a record $36 billion private-credit deal, structured to buy Google TPUs and lease them to Anthropic, has compressed yields on the senior tranche to about 5.75%, with the riskier unbacked slice paying 8 to 9%. A CoreWeave-linked data center joined the same rush, raising $900 million in junk notes at 7.5%, part of over $27 billion borrowed this year to pour concrete around GPUs. Microsoft, hunting cheaper compute at the physics layer, unveiled Majorana 2, a topological quantum chip designed with its own agentic AI that improves qubit reliability a thousandfold and pulls its scalable-quantum target forward to 2029.

Superintelligence is acquiring bodies and orbits. Barclays expects humanoid robots to become a $200 billion market within a decade, while SpaceX won FAA approval to test its Starfall capsules, reentry vehicles that will manufacture in orbit before splashing into the Pacific. Commentators noticed the obvious dual use, that a vehicle precise enough to land cargo is precise enough to deliver “rods from God” anywhere on Earth.

While the machines get new bodies, ours keep revealing undocumented features. GLP-1 drugs now appear to reduce the need for knee replacements, seemingly independent of the weight they take off.

Meanwhile, the economy is sorting out who, and what, actually did the work. New York Fed researchers found that remote work, not AI, explains nearly two-thirds of rising unemployment among young graduates, since employers stopped hiring juniors they could not mentor in person. Where AI is the cause, the bills arrive fast. Uber capped engineers at $1,500 a month per coding tool like Claude Code after burning a year’s budget in four months, even as Joshua Kushner’s Thrive Holdings bets $1 billion buying accounting firms to automate white-collar work. Workers are pushing back on the surveillance that automation requires, forcing Meta to roll back a tool that logged keystrokes and screens to train its agents. However, the era’s most audacious promises are mostly coming true, with a New York Times audit of 600-plus Musk claims finding he achieved 75% of his 2015 goals on time.

The future is already here, the last 25% just isn’t evenly distributed yet.