What happened in artificial intelligence that day: 20 stories from 12 sources, each explained in two sentences with a link to the original.
The shortage of lithography machines could delay access to AI chips for years, something to watch if your business depends on cloud infrastructure.
Source: elDiario.es
The case is a reminder that the commercial deals and technical breakthroughs of major AI labs are a target for espionage, something to keep in mind if your company works with them under confidentiality agreements.
Source: El País
If you use AI agents on connected devices, it's worth watching that they don't gain the ability to run and spread without oversight, though for now the risk remains theoretical.
Source: Ars Technica On the blog: What MCP (Model Context Protocol) is, with the servers we use every day
The leap in theoretical physics and mathematics tasks suggests current models are starting to serve as support for complex scientific research problems, though researchers themselves warn that their solutions still need human verification.
Source: Wired
Designing enzymes with AI from existing proteases opens a path to targeting neurological diseases, as demonstrated by the experiment from David Baker's team.
Source: Ars Technica
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Abdulrahman Alfozan, a Saudi employee of the company, installed the device in an executive meeting room in San Francisco; OpenAI says it has no indication that he accessed confidential information.
Source: El PaísAlso in elDiario.es, Hipertextual, Wired, Ars Technica
Neil Thompson's research indicates that OpenAI's models went from solving 2% to 35% of theoretical problems in areas like cosmology or quantum physics between mid-2024 and 2026.
What changes for people who use AI. If you work in technical fields like physics or advanced math, the jump found in solving theoretical problems suggests it may be worth testing these models as support for tasks where they previously failed. It is worth continuing to verify every answer, since the study measures the percentage of correct answers, not guaranteed reliability.
Source: Wired
The team used the RFdiffusion2 and ProteinMPNN tools to create enzymes from scratch capable of cutting proteins linked to neurological diseases, testing hundreds of different designs.
Source: Ars Technica
The company tested lightweight models on Android TV boxes and other connected devices and warns of hard-to-stop computer worms, though so far none has managed to complete replication on its own.
What changes for people who use AI. Anyone deploying AI agents on connected devices (cameras, routers, home electronics) should review what execution and automatic-update permissions they grant them. No real case of self-replication has been completed so far, but it's worth treating this as a risk to watch before lightweight models become more capable.
Source: Ars TechnicaOn the blog: What MCP (Model Context Protocol) is, with the servers we use every day
The security firm managed to bypass the filters of DALL-E 3, Nano Banana 2 and GPT-Image-2 using publicly available tools, finding that the newer versions from OpenAI and Google are even more vulnerable than previous ones.
What changes for people who use AI. If your company uses AI image generation, don't assume the safety filters in newer versions are more reliable than those in earlier models. Before integrating these tools into workflows involving sensitive content, it's worth reviewing what additional moderation controls to apply.
Source: Ars Technica
The Dutch manufacturer, the world's only supplier of extreme ultraviolet lithography, is already negotiating orders for 2029 and 2030 as its sales grow 55% year-on-year.
What changes for people who use AI. If your company relies on cloud services with GPUs or AI chips, it is worth anticipating that delivery times could stretch out over the coming years. There is no short-term alternative to this supplier, so medium-term capacity planning becomes more important for anyone managing their own infrastructure or cloud provider contracts.
Source: elDiario.es
Tech Against Terrorism tested 134 models with more than 200 questions, and only two passed all the tests; versions without safeguards now take less than three days to spread after release.
Source: Wired
The company will integrate official voting information from Democracy Works and real-time election results into Claude, and says its Opus, Sonnet and Haiku 5.5 models reach 99% on its internal political neutrality evaluation.
Source: Anthropic
The system combines weather, flood and population models with upfront planning to answer complex spatial queries, and has already been tested with organizations such as the WHO and GiveDirectly.
Source: Google Research
The tool, previously tested with more than 16,000 papers at conferences such as NeurIPS and ICML, offers two free reviews a week and now supports legal and financial documents in addition to scientific ones.
Source: Google Research
The system generates global climate data at 3-kilometer resolution with 3% accuracy on extreme events and at a cost 300 times lower than the X-SHiELD reference atmospheric model.
Source: Hugging Face
Anthropic expands its presence in Asia-Pacific with a fifth office and a memorandum with Singapore's Ministry of Digital Development to cooperate on model safety and evaluation. Claude is already used at GovTech, DBS and Grab.
Source: Anthropic
The Microsoft co-founder is calling for monitoring mechanisms and the involvement of law enforcement, in contrast to Trump's approach of leaving oversight in the hands of companies themselves.
Source: Genbeta
The FBI accuses Saudi national Abdulrahman Alfozan of hiding a $14 recording device in OpenAI's executive meeting room and using a chatbot to plan how to build it, conceal it and access it remotely.
Source: Tom's Hardware
The system, described by its researchers in a paper, distributes AI inference tasks across networked Macs and cuts GPU queues from more than ten hours to minutes, with no additional infrastructure cost.
Source: Tom's Hardware
The company is committing $250 million over five years to agentic AI safety research and is backing firms such as Boltz, Foresight and Riverlane.
Source: Nvidia
Localities in Belgium, Finland, France, Italy, the Netherlands, Poland, Sweden and the UK are using the Cosmos and Nemotron models to manage traffic, maintenance and citizen services.
Source: Nvidia
The company rewrote its game store launcher from scratch using vibe coding and claims it starts up faster than Steam, though it acknowledges the Preview version still has bugs and is missing features.
Source: Ars Technica
Kernel maintainers agreed to remove the "Assisted-by" tag that required disclosing the use of AI tools, in line with Linus Torvalds, who considers the requirement unnecessary if the author understands the code they submit.
Source: The Register
Harvard's survey of more than 5,400 Americans finds that 53% of men say they recognize three AI figures, two of them made up, compared with 40% of women.
Source: Wired