English references

The British-Canadian computer scientist often touted as a “godfather” of artificial intelligence has shortened the odds of AI wiping out humanity over the next three decades, warning the pace of change in the technology is “much faster” than expected. Prof Geoffrey Hinton, who this year was awarded the Nobel prize in physics for his work in AI, said there was a “10% to 20%” chance that AI would lead to human extinction within the next three decades.

The IMD AI Safety Clock is a tool designed to evaluate the risks of Uncontrolled Artificial General Intelligence (UAGI) – autonomous AI systems that operate without human oversight and could potentially cause significant harm. Our mission is to evaluate and communicate these risks to the public, policymakers, and business leaders, helping ensure the safe development and use of AI technologies.

Climatologists say a particularly powerful weather pattern could amplify wildfire risk, heatwaves and flooding worldwide as global temperatures continue to rise

Current energy projections often envision an expansion of nuclear capacities to decarbonize future energy systems. However, this contrasts with the historic and current status of the nuclear industry, marked by techno-economic challenges for both light-water and non-light-water reactor technologies. Regardless, projections of strong nuclear growth have persisted since the 1970s. This paper investigates the “nuclear energy paradox” which shows the recurring divergence between historical projections and actual developments. A data compilation of long-term energy projections from international organizations such as the IAEA and the IEA as well as energy system models like GCAM and MESSAGE, as used in the IPCC, reveal a recurring pattern of high-growth projections for nuclear power. Such projections often rest on techno-economic assumptions such as substantial cost reductions. We propose the concept of nuclear imaginaries to show that these assumptions are embedded into techno-economic visions of nuclear power de

The Earth is already operating beyond its capacity to sustainably support the global population, according to new research highlighting growing strain on food systems, climate stability, and human well-being. Despite this, researchers say that slowing population growth and increasing global awareness could still help reduce long-term risks.

Thawing permafrost may release greenhouse gases much faster than previously expected, potentially accelerating climate change even further. Experiments conducted by researchers at the University of Leeds, and published in the AGU journal Earth’s Future, show that when permafrost thaws, it becomes 25 to 100 times more permeable. This change allows significantly greater amounts of climate-forcing gases to escape into the atmosphere.

As climate change accelerates, its effects are being felt in every corner of the world. A comprehensive global index developed by researchers at the University of Notre Dame has assessed the climate vulnerability and adaptive readiness of nearly 200 countries, revealing stark and troubling disparities between the world’s wealthiest and most impoverished nations.

Dario Amodei questions if human systems are ready to handle the ‘almost unimaginable power’ that is ‘potentially imminent’

87%. That’s how much the emissions of NVIDIA (worth 5 trillion dollars) increased in 2024, as an article from TruthDig is one of the only sources in the world to point out. This means it became the world’s most valuable company by answering soaring demand for AI… whilst doubling its carbon footprint. Not to mention water: Samsung’s next ‘mega-cluster’ of GPU fabs will consume half of Seoul’s water, says the same article.

Gates recently called for a ‘strategic pivot’ in climate strategy. That appears to have hit a nerve.

Named one of the “world’s ten most influential intellectuals” by MIT, Douglas Rushkoff is an author and documentarian who studies human autonomy in a digital age. Rushkoff’s work explores how different technological environments change our relationship to narrative, money, power, and one another. He coined such concepts as “viral media,” “screenagers,” and “social currency,” and has been a leading voice for applying digital media toward social and economic justice. In the conversation we talk about the power of ideas, our disconnection from reality, going meta, ancestral fears, tech billionaires mindset and how they are preparing for the apocalypse. We also reflect on the urgent need to be more human and reconnect with what is essential.

Some narratives in international development hold that ending poverty and achieving good lives for all will require every country to reach the levels of GDP per capita that currently characterise high-income countries. However, this would require increasing total global output and resource use several times over, dramatically exacerbating ecological breakdown. Furthermore, universal convergence along these lines is unlikely within the imperialist structure of the existing world economy. Here we demonstrate that this dilemma can be resolved with a different approach, rooted in recent needs-based analyses of poverty and development. Strategies for development should not pursue capitalist growth and increased aggregate production as such, but should rather increase the specific forms of production that are necessary to improve capabilities and meet human needs at a high standard, while ensuring universal access to key goods and services through public provisioning and decommodification. At the same time, in high

A California outfit has used artificial intelligence to design viral genomes before they were then built and tested in a laboratory. Following this, bacteria was then successfully infected with a number of these AI-created viruses, proving that generative models can create functional genetics. "The first generative design of complete genomes." That's what researchers at Stanford University and the Arc Institute in Palo Alto called the results of these experiments. A biologist at NYU Langone Health, Jef Boeke, celebrated the experiment as a substantial step towards AI-designed lifeforms, according to MIT Technology Review. "They saw viruses with new genes, with truncated genes, and even different gene orders and arrangements," Boeke said.

Focus on capital discipline, increasing customer centricity, and investments in new technologies may help companies navigate economic, geopolitical, and regulatory uncertainties in 2025

This article examines the technocentric bias that characterizes climate mitigation literature, focusing on the reports of the IPCC's Working Group III. This bias stems from structural features of the scientific field that prioritizes innovation, leading to the overrepresentation of technological solutions in climate research. Funding mechanisms further reinforce this tendency by incentivizing collaboration with industrial R&D, creating a self-reinforcing loop in which scientific authority and industrial interests converge. The IPCC's institutional positioning—as a policy-relevant yet politically cautious body—amplifies this dynamic by favoring allegedly “cost-effective” technological pathways that lack practical feasibility.

The author of Empire of AI: Inside the Reckless Race for Total Domination discusses the cost of Big Tech’s huge investment in technologies that may do more harm than good

Taking a closer look at AI’s supposed energy apocalypse

Despite concerns over the environmental impacts of AI models, it's surprisingly hard to find precise, reliable data on the CO2 emissions and water use for many major large language models. French model-maker Mistral is seeking to fix that this week, releasing details from what it calls a first-of-its-kind environmental audit "to quantify the environmental impacts of our LLMs."

The startup Gigablue announced with fanfare this year that it reached a historic milestone: selling 200,000 carbon credits to fund what it describes as a groundbreaking technology in the fight against climate change . But outside scientists frustrated by the lack of information released by the company say serious questions remain about whether Gigablue’s technology works as the company describes. Their questions showcase tensions in an industry built on little regulation and big promises — and a tantalizing chance to profit.

Since Donald Trump's presidential election victory, major tech companies have abandoned years of policies restricting military work and sought out lucrative defense contracts and deeper connections with the Pentagon.