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AI at MIT

AI at MIT

At MIT, AI has become so pervasive that you can almost find your way into it without meaning to. Take Sili Deng, an associate professor of mechanical engineering. Deng says she still doesn’t know whether she’d have gone all in on artificial intelligence had it not been for the covid pandemic....

Analog computing from waste heat

Analog computing from waste heat

Heat generated by electronic devices is usually a problem, but a team led by Giuseppe Romano, a research scientist at MIT’s Institute for Soldier Nanotechnologies, has found a way to use it for data processing that doesn’t rely on electricity. In this analog computing method, input data is encoded...

Artificial scientists

Artificial scientists

AI companies frequently invoke the possibility of AI-enabled scientific discovery as a justification for their existence: If the technology eventually cures cancer and solves climate change, then all the carbon emissions and slop videos will have been well worth it.  Already, LLMs can assist...

China’s open-source bet

Silicon Valley AI companies follow a familiar playbook: Keep the secret sauce behind an API, and charge for every drop. China’s leading AI labs are playing a different game: They ship models as downloadable “open-weight” packages. This lets developers adapt the models and run them on their own...

Humanoid data

Humanoid data

I was recently invited to join an app that would pay me cryptocurrency to film myself doing tasks like putting food into a bowl, microwaving it, and then taking it out. Another website suggested I try a new game in which I’d remotely control a robotic arm in Shenzhen, China, as it completed...

World models

AI systems have already gained impressive mastery over the digital world, but the physical world is still humanity’s domain. As it turns out, building an AI system that can compose a novel or code an app is far easier than developing one that can fold laundry or navigate a city street. To get...

Supercharged scams

Supercharged scams

When ChatGPT was released to the public in late 2022, it opened people’s eyes to how easily generative AI could churn out vast amounts of human-seeming text from simple prompts. This quickly caught the attention of criminals, who soon began using large language models to produce malicious...

Building agent-first governance and security

Building agent-first governance and security

As AI agents increasingly work alongside humans across organizations, companies could be inadvertently opening a new attack surface. Insecure agents can be manipulated to access sensitive systems and proprietary data, increasing enterprise risk. In some modern enterprises, non-human identities...