A Georgetown and University of Washington study found that a ChatGPT summary with one wrong detail cut correct recall of a traffic sign from 83.6% to 44.8%, whether people thought AI or a human wrote it. Every AI summary the team generated also omitted central facts. We explain the method, the numbers, the 50-year-old memory research behind them, and the controls organisations need.
Anthropic has released Claude Sonnet 5.5, which it says is more than 30% faster than Sonnet 5 and up to 30% cheaper per task. The token price has not changed, so the saving comes from fewer tokens and tool calls. We work through the cost arithmetic, the benchmark table against Opus 5.5 and GPT-6 Sol, the new cyber and distillation safeguards, and whether to switch.
A TU Wien-led paper in Joule says AI data centers must adapt to the grid, citing a US study where sites needed to cut demand for no more than 35 hours a year. We trace the figure to its source, add the 32 generation hours it leaves out, and explain the batteries, costs and connection rules behind it.
Instinct has raised $1 billion from Sequoia, Benchmark and Coatue at a $10 billion valuation, 33 days after its Series B. We rebuild the funding timeline, work through the arithmetic of a 200-fold markup, and look at compute, Meta’s Muse, privacy and how the free agent might make money.
Computer scientist Bo Wang explains why AI that shines in the lab stumbles in homes, hospitals and streets. We walk through his three challenges with the numbers from his own research, from pose models that collapse in low light to vision-language models that spot unseen actions, plus a readiness checklist.
KAIST researchers stacked fast and slow ion-gated carbon nanotube transistors so a single device remembers both the latest movement and earlier ones. We explain the physics, the reservoir computing idea behind it, what the Advanced Materials paper shows and what it will take to reach a smartwatch.
A Cambridge startup advised by Yann LeCun says it has licensed almost 1 million hours of gameplay to train AI world models. We explain why labs want video game data, what Minecraft and Bleeding Edge research shows, who else is betting on it, and why Nvidia thinks game physics falls short.
OpenAI’s brute-force Navier-Stokes proof has mathematicians asking what AI is doing to a field that has always worked like an art form. We trace the argument from G. H. Hardy to the Erdős problems, check the numbers behind the declaration and the compute bill, and draw lessons for any expert workforce.
WIRED warns that hundreds of thousands of AI agents are about to join the workforce as named coworkers. We check the BCG research behind its org-chart statistic, including the hot potato effect that weakens oversight when AI is called an employee, and set out the governance every organisation needs first.
Deel has opened Akai, the AI agent platform it built for its own finance, compliance and HR teams, to other companies. We explain how Akai learns a workflow, where it uses rules versus AI judgment, which use cases it targets, how it compares with RPA, and what to ask before buying.
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