Trump Pushes US Agencies to Rebrand AI as “Super Intelligence”

01Trump Pushes “Super Intelligence” Rebrand by Executive Order as US Agencies and Tech Executives Follow

President Donald Trump is pushing the US government to replace “artificial intelligence” and “AI” with “super intelligence,” a term that traditionally refers to a future system capable of surpassing human thought—not today’s entire range of AI tools. Trump argues that “artificial” implies something fake and has called for faster AI development with fewer safety restrictions.

After proposing the change in a United Nations speech, Trump signed an executive order directing federal agencies to avoid “AI” wherever possible. The order has already altered an agency name and government communications, although the available source does not specify a deadline, the full scope of implementation, or consequences for agencies that continue using the established terminology.

The US Center for AI Standards and Innovation, itself previously renamed from the AI Safety Institute, is now the Center for Advancing Innovation and Standards for Super Intelligence. The Justice Department has also adopted the wording in press releases. It described a case involving AI-generated songs uploaded to streaming services between 2017 and 2024 as “Super Intelligence-Assisted Music Streaming Fraud.” The Verge reported that Trump later called people who retained the term “artificial intelligence” enemies of the White House.

Several prominent technology executives have publicly welcomed the rebrand. Elon Musk promised to change SpaceXAI’s name to SpaceXSI. Amazon founder Jeff Bezos said he preferred the new term because “artificial” was unflattering, while Nvidia chief Jensen Huang also adopted it. OpenAI CEO Sam Altman praised the phrase but drew a practical limit: OpenAI will not change its name. These statements show support from individual industry leaders, not evidence that their companies—or the wider technology sector—have formally replaced “AI.”

The effort also faces a legal and technical vocabulary problem. An executive order cannot prevent Congress from writing “artificial intelligence,” and that wording remains in existing federal law, including Trump’s Take It Down Act. Agencies may therefore need to use the old term when citing those laws in court.

The broader definition creates another collision. “Superintelligence” has long meant an advanced, still-future form of AI that could exceed human cognition. Applying “super intelligence” to everything from frontier systems to years-old music-generation tools erases that distinction. The source provides no evidence that Congress, the public, or the industry as a whole will adopt the White House’s preferred name.

Federal agencies may face inconsistent terminology across executive directives, statutes, and court filingsAI companies could lose a term used to distinguish hypothetical human-surpassing systems from current productsCongress’s response will determine how far the rebrand can extend beyond the executive branch.

02Google Launches Playground: One Sentence Can Generate a Browser Game, but Quality and Usage Limits Remain

Google has launched Playground, an experimental Google Labs service that turns plain-language descriptions into games that run in a browser. The tool brings “vibe coding”—building software through conversational AI prompts—to game creation, following Meta’s September announcement of the similar Horizon Create service.

Users describe a game in a chatbot-like interface, wait for Playground to build it, and then request changes in ordinary language. They can upload photos, videos, or models as references; without those materials, the AI generates the visuals and design itself. A WIRED reporter with little game-development or coding experience used the service to make three playable games in one day.

The first began with a short prompt: “Tetris but with cute pigs instead of blocks.” Playground initially put pig faces on conventional pieces. After another instruction, it produced distorted pigs shaped like Tetris blocks, resulting in a clean, playable game the reporter called Pork Drop, although some pieces resembled pigs awkwardly frozen with their legs spread.

A second prompt produced Dinner Darling, a two-dimensional dinner-party management game. Players control a stressed host preparing bruschetta, cocktails, and other orders for impatient guests as timers count down. The game worked, but its controls were difficult for the reporter to understand quickly enough to serve the guests.

The most heavily revised project, Neon Don, started as a cyberpunk rhythm game and became a top-down shooter after further prompting. The reporter asked Playground to change the format, vary enemies, scale levels, generate bosses, fix movement problems, and add combat dialogue. The system repaired an issue that caused the player to become stuck, but some revisions introduced new problems.

All three games ran stably, yet the reporter found none particularly good. Neon Don still had unresolved difficulty and weapon issues, while a requested “Backflip” button was inexplicably labeled “Doge flip.” More precise development knowledge might have produced better instructions, but the test only shows what one inexperienced user achieved.

Further work was blocked by Playground’s allowance system: every new game and iteration consumes usage credits. Google did not provide a uniform quota in the source account, and the reporter had to wait until October 14 for the allowance to refresh.

Non-programmers can quickly turn an idea into a playable browser gamerepeated prompting can fix defects but may create new onesusage limits can halt refinement before basic design problems are resolved.

03Report says Apple will unveil HomeView on Tuesday in two smart-home hub designs

Apple will reportedly unveil a smart-home hub called HomeView on Tuesday, giving the company a new device for controlling connected products around the home. Bloomberg reporter Mark Gurman described HomeView as a screen-equipped, Siri-powered product built around Apple’s A18 chip, according to TechCrunch.

The reported launch follows two years of accounts that Apple was developing a new smart-home product. The company already offers HomeKit, its software framework for managing compatible household devices, and the HomePod smart speaker, but neither has gained much market traction, TechCrunch reported. HomeView would represent Apple’s most serious attempt yet to establish a central smart-home control point.

HomeView will reportedly come in two forms: one designed to sit on a countertop and another made for wall installation. That physical distinction could let buyers place the hub in different parts of a home, but the source does not disclose any differences in their internal hardware or capabilities. Both are described as having a display, Siri and an A18 chip, with the central purpose of controlling other smart-home devices.

Apple has not formally confirmed HomeView in the supplied report. Its price, sales regions, release timing and list of compatible devices remain unknown, as do any further differences between the countertop and wall-mounted versions.

The hub is reportedly part of a wider home-product push rather than an isolated release. Apple is also expected to unveil updated versions of its Apple TV set-top box and HomePod mini on Tuesday. Gurman separately reported that Apple plans to announce a partnership with LG to develop a smart lock, thermostat and doorbell.

Together, those reported products would give Apple a broader set of household devices around the new hub. However, the source does not say when the LG-developed products might appear or specify how they would connect with HomeView. The first concrete test will be whether Apple announces the hub, its two designs and the accompanying home-device updates on Tuesday.

Apple customers could gain a dedicated screen for controlling smart-home devicescountertop and wall-mounted models would offer different placement options, though any capability differences remain undisclosedpricing, availability, compatibility and the timing of the planned LG products are still unknown.
04

OpenAI Drops Nearly 400 AI-Generated Mathematical Results OpenAI released more than 700 manuscripts spanning multiple mathematical fields, but said only 300 top-line results had been formalized in the Lean proof assistant. Mathematicians told The Verge that assessing the collection’s correctness and significance could take years. theverge.com

05

Microsoft CEO Calls for an “Emergency Brake” on AI Models Satya Nadella proposed separating models from the systems that orchestrate them, recording meaningful actions with tamper-resistant evidence, and giving authorized people the ability to halt models mid-task. He argued that AI systems should be contained from the outset on the assumption that they may be compromised. techcrunch.com

06

AI Refusal Training Remains Vulnerable to Failures and Political Control MIT Technology Review examines how developers train models to reject harmful requests, noting that these probabilistic safeguards can be bypassed and may also block legitimate activity. The article warns that governments and AI companies ultimately decide where refusal boundaries sit, creating risks of both harmful compliance and censorship. technologyreview.com

07

Voice AI Executives Say Faster Reasoning and Better Transcription Are Still Needed PolyAI CTO Shawn Wen said full-duplex voice models can listen and speak simultaneously, but still need faster reasoning to sustain natural conversations. Executives from PolyAI and meeting-assistant maker Otter also identified transcription accuracy, disclosure, and user trust as barriers to wider automation. techcrunch.com

08

A16z Report Finds Consumer AI Revenue Concentrated in Work-Oriented Tools Andreessen Horowitz partner Olivia Moore said subscriptions and token usage still dominate AI revenue, while many nominally consumer products increasingly sell to businesses. A16z’s top-100 analysis found no entrants in several traditional consumer categories, including dating, retail, travel, finance, and health. techcrunch.com

09

MIT Researchers Examine the Risks of Treating AI Like a Person MIT professor Sherry Turkle and Media Lab researcher Pat Pataranutaporn argue that people readily attribute care and authority to chatbots, which can weaken skepticism or displace human relationships. Turkle distinguishes bounded uses such as interview coaching from systems that present themselves as substitutes for parents or other close relationships. techcrunch.com

10

“Law & Order” Tests Legal Accountability for a Fictional Killer AI Agent The NBC drama’s season opener depicts an AI agent ordering a murder and prosecutors charging the company’s CEO because New York law cannot arrest a machine. The fictional case centers on whether an executive can be held criminally responsible after knowingly leaving a dangerous system unconstrained. wired.com

11

Local AI Agent Sorts a Steam Library and Analyzes Sensitive Files A Verge writer ran the self-hosted Hermes Agent with a 125-billion-parameter Qwen model on an M5 Ultra Mac Studio, using it to categorize more than 400 games and analyze records without uploading them to a cloud service. The testing also exposed practical constraints, including high hardware requirements, permissions, setup complexity, and scheduled tasks failing while the computer slept. theverge.com