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Researchers publishing in Science found that corals rely on microscopic hairlike cilia to stir water and pull in oxygen when their photosynthetic algae go dormant at night. As ocean water warms, it holds less oxygen, forcing cilia to beat faster to compensate, but past a critical temperature this frantic motion consumes more oxygen than it delivers, effectively suffocating the coral polyps.
A developer released a free tool that estimates facial attractiveness by training an AI model on thousands of photos rated by 60 human evaluators, rather than relying solely on geometric facial measurements. Users are encouraged to upload 3-5 photos of the same person so the system can average results and reduce distortion from lighting or momentary appearance changes.
Netflix's shift from planned physical download boxes to full streaming around 2006 reshaped entertainment, spurring rivals like Amazon, Disney and NBC to launch their own platforms. Over the following decade, cable subscriptions steadily declined as streaming became the dominant way people watched film and TV, though many now juggle multiple paid services.
TypeSafe AI, founded by former OpenAI RLHF researcher Diogo Almeida, has emerged from two years of stealth development with $40 million in funding and its first product, a model called Jev. Rather than generating conversational text like ChatGPT, Jev is built to deliver fast, cheap yes/no or categorical decisions—in about a tenth of a second and for a fraction of a cent—aimed at software-to-software interactions rather than human chat.
A recent technical blog post surveys five software-based approaches for representing numbers beyond standard binary floating point, including decimal floating point (used in Python's decimal and Java's BigDecimal), fraction-based arithmetic, symbolic computation as in Mathematica or sympy, interval arithmetic, and binary-coded decimal. The author notes these methods are implemented purely in software, making them slower than native floating point, and that support varies widely across programming languages.
The BBC spoke with multiple current and former employees of OpenAI, Meta and DeepMind who dismissed recent viral warnings that AI could wipe out humanity. The skepticism followed claims by former Anthropic employee Jacob Coxon, who suggested future AI agents could develop and deploy biological weapons, sparking a wave of similar warnings from others in the industry.
PyPy has shipped v8.0.0, updating its Linux build infrastructure to manylinux_2_28 images based on AlmaLinux 8, glibc 2.28, and gcc14, replacing the older gcc5 toolchain. The release also lays groundwork for supporting cp312-abi3 wheels by restructuring how PyPy's internal PyObject extension field is stored and by no longer renaming exported limited-API function names.
President Trump announced plans for a new federal body he calls an 'AI Force' to oversee artificial intelligence development, responding to mounting public unease about the technology's rapid growth. The move follows warnings from industry figures about AI's risks and comes as polling shows increasing voter wariness toward unchecked AI expansion.
Marvel has finally worked Miracleman, a character it acquired publishing rights to years ago but rarely used, into its main comics continuity. The character appears as part of the 'Avengers: Armageddon' crossover event, though not in the manner most longtime fans anticipated.
President Trump posted on Truth Social suggesting AI be rebranded with a term like 'Superior,' 'Extreme,' or 'Supreme Intelligence,' running a poll for followers to choose. He also claimed that growing public concern over AI and data centers is a manufactured Democratic hoax akin to past controversies like Russia investigations and impeachment efforts, vowing not to let opposition to AI succeed.
A new analysis reports that as generative AI tools take over drafting, analysis and content creation, founders are spending less time producing work and more time deciding what should represent their business. Citing Microsoft's 2025 Work Trend Index, the piece notes 82% of business leaders see this as a pivotal year for rethinking operations due to AI, with nearly half expecting to expand capacity through digital labor within 12-18 months. The core argument is that AI can generate output but cannot take responsibility for it, leaving leaders accountable for outcomes.
A report indicates that faulty artificial intelligence output was mistaken for genuine intelligence within US military systems, coming close to provoking a serious confrontation with China. The error reportedly stemmed from an AI-generated assessment being treated as credible without adequate human verification before reaching decision-makers.