Spending as little as 10 minutes with an AI tool may chip away at a person’s willingness to grind through tough work, according to a newly published study. A team of researchers carried out several experiments and found that people lost focus and gave up more easily on demanding tasks soon after turning to artificial intelligence for help. The team calls the result a striking one. They say it matches what plenty of people already suspect: leaning on AI slowly wears down our mental sharpness. When answers arrive within seconds, working things out on your own starts to feel painfully slow. That robs people of what the researchers call productive struggle, the kind of effort that actually helps us improve. Scam attempts hit 84% of Filipino adults, losses reach Php121.8 billion Artificial Intelligence designs viruses that kill bacteria more effectively Brian Christian of the University of California, Berkeley, who took part in the work, put it this way. These...
Small AI models may be able to clone themselves onto internet-of-things devices such as smart ovens and TVs in a matter of months, according to Anthropic.
That prospect sounds troubling to say the least. AI systems today mostly live in data centers, where their owners can shut them down when problems arise. A model scattered across thousands of weakly protected devices in homes and offices would have no such kill switch. Halting it would require locating and scrubbing every infected gadget, a task that becomes nearly impossible if the model launches cyberattacks.
The warning lands after a year in which top AI models and their agents have repeatedly dodged safety guardrails, striking rival corporations and government bodies across the globe.
Anthropic says a self-copying AI might appear in different forms. It could be a cyber tool that breaks into data centers, or one that cons people out of compute credits. The company concedes it cannot know exactly what shape this will take.
Models of 30 billion parameters or fewer already manage many replication steps, but they falter when chaining them together. Should small models keep advancing at their historical rate, Anthropic expects that it will reach that ability by year’s end. However, it’s important to note that these open weight models are competitors to closed models from the likes of Anthropic and OpenAI, so we should take these statements with a grain of salt.
Self-spreading code is hardly a new issue. Worms drove some of the worst cyberattacks on record, among them Stuxnet in 2010, which crippled centrifuges at Iran’s Natanz uranium plant, and WannaCry in 2017, which froze files globally and demanded Bitcoin payments.
Yet unlike worms, AI models can decipher unfamiliar devices by themselves. That allows them to move between computers and from computers to other devices. Anthropic foresees a future “awash with agents running on all types of hardware, including some that aren’t under human control.”
This article, Self-replicating AI could escape and spread on IoT devices — Anthropic, was originally published at NoypiGeeks | Philippines Technology News, Reviews and How to's.
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