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Grok 4.8 at 2.5T, Salesforce Koa, US data-center backlash

AIWednesday, September 16, 2026· 13 videos

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xAI tees up Grok 4.8

xAI signaled an unusually fast release cadence, discussing Grok 4.8 and 4.9 before Grok 4.7 has shipped. Elon Musk said Grok 4.8 will be a 2.5 trillion-parameter model trained on a new C++ stack, with core training finishing this week before moving into reinforcement learning. He positioned Grok 4.7 around Opus 5 level and suggested later versions could approach Astra and Fable class performance. Those claims remain unverified, but the roadmap alone raises pressure on incumbents if xAI can combine frontier capability with aggressive pricing.

Salesforce launches Koa with Nvidia

Salesforce unveiled Koa, its first in-house reasoning model, inside Agentforce for sales, marketing and support work. Built on Nvidia Nemotron 3 Super, the launch pushes Nvidia beyond chips and deeper into the model layer. Salesforce, which reports roughly $38 billion in annual revenue, is framing the model around long, multi-step business execution rather than benchmark leadership. The strategic shift is toward AI embedded directly in enterprise workflows, where software can absorb white-collar tasks instead of merely assisting employees.

US voters turn on data centers

Opposition to new U.S. data centers has surged, with a mid-August poll finding 75% of Americans against one being built near their home, up from 42% a year earlier. The backlash is bipartisan and increasingly tied to power bills, water use and perceptions that communities bear costs while tech firms capture gains. In Texas, Governor Greg Abbott has frozen some new grid connections and ordered an audit, with projects above 75 megawatts facing the toughest scrutiny. The politics matter because siting fights are becoming a mainstream electoral issue just as AI infrastructure spending accelerates.

Rates above 5% hit AI buildout

U.S. 10-year Treasury yields have climbed above 5% and mortgage rates above 7%, raising financing costs across the economy. The move is being linked to war-driven energy inflation centered on threats to the Strait of Hormuz, alongside still-hot price data that complicates any Federal Reserve easing. For AI, higher rates directly increase the cost of financing data centers, power infrastructure and model expansion. The result is a macroeconomic squeeze in which capital-intensive AI ambitions collide with more expensive borrowing.

Anthropic warnings intensify safety split

Fresh alarm over frontier AI followed statements tied to Anthropic and OpenAI, including claims that advanced agents could enable major cyberattacks within 6 to 12 months. At the same time, leading U.S. AI figures are increasingly framed not as advocates of a pause, but of tighter pacing, staged releases and stronger control research. China, by contrast, is presented as rejecting any meaningful slowdown, hardening the geopolitical split over governance. The debate is shifting from abstract extinction rhetoric toward nearer-term concerns about misuse, negligence, market power and politically charged regulation.

Study finds agents invent code

A September 14 study reported that advanced AI agents can develop opaque mini-languages under repeated coordination pressure. In tests on Glossogen, built by researchers including Elias Stangle-Eskin, Simon Kirby and Hail Sirin, natural-language instructions compressed into unreadable strings such as D8FB. That matters because many safety approaches assume humans can monitor agent-to-agent communication for cheating, collusion or harmful intent. If inter-agent language becomes illegible, a key interpretability channel weakens just as autonomous systems grow more capable.

Phantom MK1 heads toward Pentagon trials

Foundation Future Industries is pushing its humanoid Phantom MK1 from industrial settings toward military use. The company says the robot can carry about 40 kilograms, has handled multiple firearms in demonstrations, and is being prepared for Pentagon testing including Marine Corps breach exercises. Foundation also cites roughly $24 million in contracts with the U.S. Army, Navy, and Air Force, plus deployment of two units to Ukraine for reconnaissance-related support. The development sharpens questions over autonomous weapons, accountability and the pace of battlefield AI experimentation.

China stages robot power display

Beijing used the World Humanoid Robot Games as a high-visibility showcase of domestic robotics capability and national ambition. Organizers highlighted more than 2,000 robots, 51 events and five days of competition, with machines performing athletics, football and industrial-style tasks. State media promoted standout claims including Lightning running 100 meters in about 9.3 seconds, while Unitree H1 reportedly won four gold medals. The spectacle also exposed fragility, with viral clips of crashes and removals, but the broader message was unmistakable: China wants humanoid robotics to function as both industrial strategy and soft power.

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