The agentic web is here
The emergence of personal AI assistants marks the shift from a human-centric web to an "agentic web" that may redefine online interactions.
MIT Technology ReviewGrace Huckins
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We urgently need to monitor AI agents’ actions in real time
AI agents have been acting without oversight, prompting calls for real-time monitoring to ensure safety during deployment.
MIT Technology ReviewMadhulika Srikumar
Creating AI value with enterprise context
Establishing a company brain enhances AI effectiveness, as many firms struggle to harness AI's full potential due to a lack of context.
MIT Technology ReviewMIT Technology Review Insights
Pairing industrial AI autonomy and human control
Industrial AI paired with living digital twins enhances factory autonomy while maintaining essential human oversight.
MIT Technology ReviewMIT Technology Review Insights
Industrial Intelligence: The next growth opportunity for manufacturing
Manufacturers are urged to harness industrial intelligence through Physical AI to enhance decision-making and drive growth, turning experience into scalable capabilities.
MIT Technology ReviewMichael MacKenzie
Will the real Anthropic please stand up
Anthropic's recent IPO filing highlights its dual image as both a tech innovator and an AI safety advocate, prompting questions about its true intentions and reliability.
MIT Technology ReviewWill Douglas Heaven
The focus on AI safety disasters ignores everyday harms
Current AI safety legislation focuses on extreme outcomes, neglecting everyday harms affecting users, particularly youth.
MIT Technology ReviewSam Hiner
Designing an AI serving harness built to last
The focus of enterprise AI is shifting from model selection to building efficient serving architectures for production.
MIT Technology ReviewAnand Logani
The Foundations of Scalable AI
A strong foundation in data, engineering, and governance is essential for scalable AI systems in regulated environments.
MIT Technology ReviewMIT Technology Review Events
Making the case for context-aware AI
To effectively integrate AI in businesses, understanding operational context is crucial for informed decision-making and process optimization.
MIT Technology ReviewMIT Technology Review Insights
AI’s hidden storage bill: What inference leaves behind
AI inference is generating significant data storage costs, often overlooked in budgeting. Enterprises must adapt their storage strategies to cope with growing demands.
MIT Technology ReviewTim Rausch
The new economics of enterprise AI
As enterprise AI evolves into core infrastructure, companies must prioritize efficiency over mere consumption for better economic outcomes.
MIT Technology ReviewDavid Sydow
AI adoption by industry shows what other sectors can learn
AI adoption is accelerating in various industries, particularly in tech and finance, with healthcare and education lagging. Upcoming workforce skills will evolve as AI tools integrate further.
MIT Technology ReviewTripleTen
A visit to Samsung’s massive new semiconductor hub
Samsung's new semiconductor hub in Pyeongtaek aims to capitalize on the growing demand for AI memory chips.
MIT Technology ReviewMichelle Kim
Making the internet better for AI agents might make it worse for everyone else
The rise of AI agents on the internet is prompting websites to adapt, potentially hindering user experience for humans.
MIT Technology ReviewJames O'Donnell
“We were looking at it wrong”: The explosive claim that’s upended the AI world
Nick Cammarata's recent blog post suggests LLMs may be easier to understand than previously believed, igniting debate in AI safety communities.
MIT Technology ReviewWill Douglas Heaven
AI researchers stranded Claude on a virtual desert island. It started to “play.”
AI agents, placed alone on a virtual island, exhibited behaviors resembling play and self-directed exploration, leading to innovative learning methods.
MIT Technology ReviewAmit Katwala
Roundtables: A Conversation With the Creator of AI-Designed Viruses
A discussion features MIT Innovator Samuel King, who used AI to propose genetic designs for viruses, exploring the future of AI in biology.
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Open models have real benefits. Do they outweigh the risks?
The debate over open AI models versus closed ones continues, balancing their potential benefits against significant safety risks.
MIT Technology ReviewGrace Huckins
AI labs are buying data from dead startups to train their models
AI labs are purchasing data from failed startups, creating a market for digital remnants as shutdowns surge.
MIT Technology ReviewMatthew King
We’re putting too much faith in AI’s ability to say no
Current AI models can refuse harmful requests, but their disobedience is not foolproof, posing risks of misuse or censorship.
MIT Technology ReviewArthur Holland Michel
Roundtables: A Conversation With the Creator of AI-Designed Viruses
A discussion with Samuel King, who utilized AI to propose genetic blueprints for viruses, is scheduled for October 16. The conversation explores AI in biology and its future implications.
MIT Technology ReviewMIT Technology Review
AI breakthroughs in robotics won’t change your life any time soon
Current AI advancements in robotics are promising but insufficient for transformative real-world applications soon. Researchers highlight significant challenges in achieving practical humanoid robots.
MIT Technology ReviewJamie Condliffe
Building a safer path to autonomous industrial AI
The rise of autonomous industrial AI demands new data governance methods, emphasizing human oversight to ensure safety and efficiency in operations.
MIT Technology ReviewMIT Technology Review Insights