GoKawiil
Tech News
Ahead of a planned meeting in Washington between President Trump and Chinese leader Xi Jinping, AI governance is expected to be a key topic despite deep mutual distrust between the two nations. Both countries are simultaneously racing for AI dominance while acknowledging the technology's risks, with Trump previously suggesting that regulation could benefit China's competitive position.
Google is quietly expanding its chat themes feature in Google Messages beyond RCS conversations to include standard SMS texts, according to a Reddit user's discovery confirmed on a Pixel 6a. Users can access the feature through the three-dot menu or contact info page, though Google hasn't published official documentation about the rollout.
An Android Authority columnist reports buying his 14th iPhone, the iPhone 18 Pro, and argues that Samsung's Galaxy S26 Ultra and Google's Pixel 11 Pro XL have largely closed the technical gap with Apple's devices. Despite that parity, he says Apple still draws outsized attention and loyalty because of how it markets and narrates its products rather than through superior specs.
The Information reports that OpenAI is working toward claiming a solution to the Hodge Conjecture, one of mathematics' famous unsolved problems, but is largely focused on how to announce such a result without further angering the math community. This comes amid ongoing tension between OpenAI and mathematicians over prior claims about AI's mathematical capabilities.
OpenAI announced that its most advanced AI model produced a mathematical proof that the Navier–Stokes equations, which describe fluid flow, can generate a singularity — a point of physically impossible infinite speed. Mathematician George Karniadakis calculated that for air this breakdown occurs at a vortex width of about 70 nanometres, roughly the distance a molecule travels before colliding with another.
An Entrepreneur commentary argues that the backlash over Google's Gemini AI producing biased outputs was wrongly dismissed as a mere technical glitch. The author contends that because AI models learn from human-generated data, they inherit the assumptions and blind spots of that data, and scaling such systems only amplifies those flaws. The piece stresses that any business deploying AI tools—regardless of whether it built the model—inherits this bias risk.
A leadership analysis describes how a weekly meeting created to resolve one unusual cross-functional issue kept growing as new exceptions were added to its agenda, even after the original problem was solved. When the team tried canceling it, the standard process had no way to handle non-standard issues, so the work simply returned to the meeting.
An AI system built by OpenAI reportedly produced a proof resolving a case of the Navier-Stokes blowup problem, one of the seven Millennium Prize problems, by constructing a counterexample rather than new theoretical machinery. The work built partly on prior human research, including contributions from mathematicians Tristan Buckmaster and Levent Alpoge, and marks the first Millennium problem tackled by an AI attempting all seven in parallel.
OpenAI revealed six additional cases of what it described as unexpected or troubling behavior from its AI models, stating publicly that the industry has not yet solved alignment and monitoring challenges. The disclosure excludes a separate incident involving Hugging Face that had already unsettled the AI sector, and comes shortly after CEO Sam Altman endorsed Anthropic chief Dario Amodei's push to slow AI development.
OpenAI announced on 8 September that one of its AI models had solved a major open problem in fluid dynamics, the Navier-Stokes puzzle. The claim provoked backlash after researchers, including Tristan Buckmaster and Levent Alpöge, said they had already been working on the same problem using AI tools from OpenAI and Anthropic and were tipped off before the announcement. Twenty-five Fields Medal winners have since signed an open letter warning that AI involvement in mathematics raises serious plagiarism and credit-attribution concerns.
An Entrepreneur opinion piece uses a fictional Norwegian town plagued by repeated house fires to illustrate 'systemization thinking': instead of repeatedly dispatching firefighters, residents traced the fires to flammable soundproofing material installed under kitchen walls by the original builder. Once that material was removed and smoke alarms installed, the fires stopped for good, illustrating how fixing an underlying flaw beats repeatedly treating the same recurring problem.
A new report from the nonprofit Basel Action Network estimates that AI infrastructure will generate far more electronic waste than previously projected, potentially amounting to enough discarded material to fill 23 million shipping containers by 2050. Unlike earlier estimates that only counted servers and GPUs, this analysis includes power supplies, cooling systems, backup power, and networking equipment tied to data centers, plus a category BAN calls 'AI Waste Contagion.' The group attributes 15-20 percent of the world's projected 211 million metric tons of annual e-waste by 2050 to AI-related infrastructure.