United StatesOwnership & classification
Founded: 1899
Ownership
MIT Technology Review was founded in 1899 as The Technology Review and is wholly owned by the Massachusetts Institute of Technology. It operates as an independent media company owned by the university (MIT Technology Review, Inc.), with its own editorial leadership rather than direct faculty or institute administrative control over coverage.
Funding
Revenue comes from paid subscriptions, advertising, events (such as EmTech), and its parent university. MIT alumni receive complimentary subscriptions courtesy of the MIT Alumni Association, while non-alumni pay for access. It is not government- or party-funded.
Affiliation & stance
Though owned by MIT, a private university, the magazine is run as an editorially independent commercial publication with a science/technology focus and a mild center-left lean. As a privately (university) owned outlet with no party or state-government control over its journalism, it is INDEPENDENT.
Editorial lean
- Our estimate
- Lean Left
- Measured from coverage
- Centerbased on 29
78/100
Factual
80/100
Objective
80
Articles
80
reports
Top stories
Most covered right now
In the Weights is your new AI-centric vanity search
Heat waves mess with your brain. Scientists are trying to figure out why.
Gen Z’s Ability to Detect AI Is Far Lower Than You’d Expect
The “steroid olympics” were a circus—and a window into our culture
The Download: AI hacking beyond Mythos, and chatbots’ impact on our brains
How virtual power plants could provide energy for data centers
Recent coverage
Three things to watch amid Anthropic’s latest feud with the government
Anthropic, an AI company based in the United States, developed an advanced AI model called Mythos, which demonstrated exceptional capabilities in handling code. Concerned about potential cybersecurity risks, Anthropic shared limited access with cybersecurity experts before releasing a modified version called Fable to the public. However, the U.S. government quickly intervened, citing national security concerns and imposing export restrictions on Fable. Anthropic subsequently revoked access to both models. This incident has sparked discussions about the broader implications of AI regulation, with some arguing that the government's response was overly reactive rather than well-planned. Additionally, the event has raised questions about the reliability of American AI companies, prompting European leaders to consider accelerating their own AI development efforts. Meanwhile, open-source AI models from China have gained attention due to their affordability and accessibility, potentially influencing global AI strategies.
Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’
Signal President Meredith Whittaker warned against treating AI chatbots like ChatGPT and Claude as if they were friends or conscious entities during an interview with Bloomberg. She emphasized that these systems are not sentient and cautioned against relying on them for critical tasks such as decision-making or communication. While acknowledging her personal use of AI tools for minor formatting tasks, Whittaker stressed the importance of maintaining independent thought and avoiding reliance on AI-generated responses. She criticized scenarios where AI assistants like Microsoft Copilot might have extensive access to personal data, including financial information, messaging apps, and calendars, calling such access a 'backdoor' in the context of Signal.
What Europe’s heat wave means for the power grid
A severe heat wave has swept across Europe, breaking temperature records and posing significant risks to public health, leading to school closures and the cancellation of a climate-related event in London. The extreme heat has forced a nuclear power plant in southern France to shut down due to high temperatures impacting cooling systems. This situation highlights the growing strain on power grids caused by climate change, which affects both electricity supply and demand. While air conditioning is widely used in the U.S., it remains uncommon in much of Europe, where increasing adoption could further stress already strained electrical systems. Experts warn that rising temperatures are creating a 'triple squeeze' on power grids, with increased cooling demand, reduced efficiency of power plants, and limited access to cooling resources.
Why Wall Street thinks US memory maker Micron is the next Nvidia
Micron Technology, a leading U.S.-based memory chip manufacturer, has seen a dramatic surge in its stock value due to increased demand for memory chips driven by the expansion of artificial intelligence infrastructure. Micron's market capitalization temporarily surpassed those of Meta and Tesla, reaching nearly $1.27 trillion, although it later dropped slightly. This growth is attributed to a global shortage of high-bandwidth memory (HBM), essential for AI servers, which has persisted since 2026 and is expected to continue through 2027. Micron's recent financial performance includes a significant increase in revenue and profit, supported by long-term contracts with major players like Nvidia and Anthropic. However, challenges remain, as expanding production capacity is costly and time-intensive, and there is a risk of oversupply if demand decreases.
The UK’s generational tobacco ban might not work. I’m supporting it anyway.
The article discusses the UK's new generational tobacco sales ban under the Tobacco and Vapes Act 2026, which prohibits selling tobacco products to individuals born after January 1, 2009. The author, a parent, reflects on how smoking was normalized in their youth but is now widely rejected by younger generations. The policy aims to eliminate smoking entirely rather than just reducing consumption, marking a shift from traditional approaches like taxation or graphic warnings. The Maldives became the first country to implement such a ban, though its effectiveness remains unclear. The UK's ban faces potential challenges, including opposition from figures like Nigel Farage, who argues it could be reversed by future governments. Public health advocates argue that smoking causes significant harm, with the World Health Organization noting that tobacco kills millions annually, including non-smokers through secondhand exposure.
Achieving operational excellence with AI
The article discusses how artificial intelligence (AI) can enhance operational efficiency when integrated with established process frameworks such as Lean Six Sigma and business process management (BPM). These frameworks provide structure and discipline to organizational workflows, enabling consistent measurement, analysis, and accountability. The piece highlights that while AI has the potential to accelerate process excellence, its true impact depends on the presence of mature process disciplines within an organization. Companies with well-established operational practices are better equipped to leverage AI effectively, as they already prioritize data-driven decision-making and process rigor. The article cites industry projections indicating significant growth in the AI-powered process optimization market over the next decade and notes that many executives plan to increase investment in AI-enhanced process intelligence in the coming years.
Teaching AI to run with the turbines
The article discusses the growing role of artificial intelligence in the energy sector, focusing on its application in industrial settings rather than consumer-facing technologies. It highlights Woodside Energy's long-term investment in AI, including predictive analytics, optimization systems, and machine learning tools used across exploration, drilling, maintenance, and plant operations. The company emphasizes AI as a supportive tool for human operators, exemplified by its 'Startup Advisor' AI copilot designed to assist in managing LNG plant startups. The piece outlines a broader industry trend toward integrating AI into core workflows, requiring rethinking of technological infrastructure and operational processes. Woodside's approach involves developing enterprise-wide AI systems based on standardized platforms and governed data, with a focus on autonomy and agent-based interactions within core workflows.
The Download: a startup has a solution for AI’s groupthink problem
The article covers several technological developments. First, scientists claim to have created the first fully synthetic cell capable of feeding, growing, and multiplying, raising both excitement and concerns about synthetic biology. Second, OpenAI proposes granting the U.S. government a 5% stake in AI companies, including Anthropic, Google, and Meta, amid political pressure. Third, Singapore authorities seized a mansion linked to Nvidia chip smuggling, while Supermicro's offices were raided in a related investigation. Fourth, Anthropic's Fable 5 AI model was reinstated after an export ban was lifted, though security-risk queries may still be redirected. Lastly, Meta is developing a cloud business to sell AI compute resources, and PlayStation plans to stop physical game disc releases by 2028.
Why California’s carbon manure math doesn’t add up
The article discusses California's carbon offset program, specifically focusing on how dairy farms contribute through anaerobic digesters that capture methane from cow manure. This allows farmers to sell low-carbon fuel standard (LCFS) credits to oil companies, helping them meet emission reduction targets. However, the program faces criticism for its flawed assumptions about methane's warming potential. While methane is potent, it breaks down faster than CO2, which accumulates in the atmosphere. Researchers argue that the current approach may lead to greater long-term warming by misrepresenting the environmental benefits of captured methane. Despite these concerns, California regulators have extended parts of the program beyond 2050, potentially increasing financial support for dairy farmers.
LLMs are stuck in a groupthink groove. This startup is trying to get them out.
The article discusses a common limitation in large language models (LLMs) where they tend to generate highly repetitive and predictable responses to open-ended questions. This phenomenon, referred to as 'groupthink,' limits creativity and diversity in outputs, making them less effective for tasks requiring innovation. The article highlights an Australian startup, Springboards, which developed an alternative model called Flint designed to provide more varied and diverse responses. Flint demonstrated this capability by generating unique answers compared to mainstream models like ChatGPT and Claude. The article references a research paper published on arXiv that explores this issue, noting that multiple LLMs converge on similar answers when presented with open-ended prompts. The study received recognition at the NeurIPS conference.
AOC calls to 'break up' big tech companies amid price hikes
Representative Alexandria Ocasia-Cortez (D-N.Y.) has called for breaking up major technology companies, arguing they seek 'totally unchecked power' and should be divided to prevent monopolistic control. She emphasized the need for consumer protections and criticized tech giants for acting like governments. Meanwhile, Apple CEO Tim Cook acknowledged rising prices due to increased costs for memory and storage chips. Ocasio-Cortez and Senator Bernie Sanders have advocated for legislation to pause new data center construction until national safeguards are established, including oversight of AI development and protection against job losses and energy cost increases. Their proposed 'Artificial Intelligence Data Center Moratorium Act' aims to create time for risk assessment and democratic accountability. Similar efforts have gained traction at the state level, with Maine becoming the first state to pass a law restricting large-scale data center development.
The Download: Anthropic launches Claude Science, and California’s carbon manure math
The article covers two main topics. First, it reports on Anthropic's launch of Claude Science, an AI tool designed to aid scientific research, particularly in areas like computational biology and drug development. This follows the U.S. lifting restrictions on Anthropic's Fable model, which was previously under regulatory scrutiny. Second, it discusses concerns over California's carbon manure program, where financial incentives for converting cow manure into natural gas have raised questions about the effectiveness and integrity of carbon offsetting systems. The piece highlights potential flaws in the approach, suggesting it may fail to address underlying emissions issues and could lead to increased greenhouse gas emissions.
The DeepMind trio who built a poker AI are now making money for quant hedge funds
Three former DeepMind researchers—Martin Schmid, Rudolf Kadlec, and Matej Moravcik—have founded EquiLibre Technologies, an AI startup that applies reinforcement learning techniques originally developed for beating humans at poker to quantitative trading. The company has raised an undisclosed amount in a Series A funding round led by Creandum, valuing the startup at $500 million. EquiLibre partners with Tower Research Capital, a quant hedge fund, to trade billions in daily volume across major indices like the S&P 500 and Nasdaq. The startup claims its AI has achieved a 'perfect record' of positive returns every month since its launch in 2025. The team previously developed DeepStack, an AI that defeated professional poker players in Texas hold ’em, while working at DeepMind's Edmonton office, which was closed by Alphabet in 2023.
Overlooked
Under-reported & one-sided
