Breaking AI & Tech News Analyzed

Nissan announced a sweeping overhaul that places AI‑defined vehicles at the core of its revival strategy. Chief executive Ivan Espinosa said the automaker will eventually embed autonomous‑driving technology in 90% of its cars, positioning the brand for a future where self‑driving functions become standard. As part of the same initiative, Nissan will reduce its lineup from 56 to 45 models, redirecting capital toward higher‑margin offerings. The move follows a painful restructuring that has already seen seven factory closures and the loss of 20,000 jobs since Espinosa took the helm last year. Speaking at Nissan’s Yokohama headquarters, Espinosa warned that “structural challenges have compounded over time,” noting that the company’s portfolio has aged faster than the market and that fixed costs remain high despite declining scale. The Japanese automaker also unveiled its new battery‑electric Juke, a crossover SUV that will be built at the Sunderland plant in northern England. This model is a keystone of Nissan’s broader electrification push in Europe. While accelerating its EV agenda, Nissan reaffirmed a commitment to hybrid technology, unveiling a new hybrid Rogue (known as the X‑Trail in some markets) aimed at the US, where recent policy shifts have reduced incentives for fully electric cars. To fuel growth, Nissan set ambitious sales targets: an additional 550,000 units in Japan by 2030 and one million units each in the United States and China. The rapid rollout of autonomous capabilities is expected to boost demand for the technology, benefitting partners such as Wayve, the British AI startup that signed its first deal with Nissan a year ago. Bernstein analyst Masahiro Akita called the plan “reasonable” but cautioned that “ongoing macro uncertainty makes it unclear whether Nissan can sustain top‑line growth and achieve a genuine turnaround.”

Anthropic, a San Francisco-based AI startup, has announced that its latest AI model, Claude Mythos, has proven highly effective in exposing software weaknesses. The model has identified thousands of vulnerabilities in commonly used applications, many of which have no patch or fix available.According to Mike Krieger of Anthropic Labs, the company has decided not to release Mythos to the public due to concerns about its potential misuse by hackers. Instead, Anthropic is collaborating with cybersecurity specialists and engineers in the open-source community to utilize the model as a defensive tool.The oldest vulnerability uncovered by Mythos dates back 27 years, and none were previously noticed by their creators. Anthropic has shared a version of Mythos with cybersecurity companies CrowdStrike and Palo Alto Networks, as well as with Amazon, Apple, and Microsoft, in a project dubbed “Glasswing”.“AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities,” Anthropic said in a blog post. “The fallout – for economies, public safety, and national security – could be severe.”The project aims to protect critical infrastructure from cyber threats, with approximately 40 organizations involved in the design, maintenance, or operation of computer systems. Anthropic is providing about $100m worth of computing resources for the mission.