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Deno 2.5 introduces the ability to define permission sets directly in the `deno.json` config file, allowing users to pre-configure and reuse specific permission flags for different commands like `deno run` or `deno test`…
In a 2025 blog post, researcher Nicholas Carlini argues that the future of large language models is highly uncertain, with two plausible but opposing outcomes. He suggests that within three to five years, these models co…
The article details the process of building and loading a RISC-V firmware for the SNESTang FPGA project, choosing the minimal RV32I architecture for its small size and mature toolchain. The firmware, which includes a bas…
Mistral AI hosted its first summit in Paris on Thursday, drawing executives from SAP, BNP Paribas, Accenture, and Airbus to Le Carrousel du Louvre, where the French startup positioned itself as Europe's answer to America…
Autodesk agreed to acquire MaintainX for $3.6 billion in an all-cash deal, while Asana completed the purchase of no-code AI agent platform StackAI and Snowflake finalized the acquisition of AI agent service Natoma. The t…
The MCP Registry, launched in September 2025 as a community-driven catalog of MCP servers, exposes a REST API at `registry.modelcontextprotocol.io/docs` that allows AI agents to dynamically discover tools at runtime with…
A structural shortage in the RAM and storage market is reshaping the semiconductor industry in 2026, driven by a deliberate reallocation of production capacity toward AI-focused high bandwidth memory (HBM). Major manufac…
Inference costs dropped 80% in 2026, but total AI spending rose as agentic systems consumed far more tokens than chat-based AI. Regulation went live, physical AI left the lab, and an invisible divide opened between organ…
A developer tested platforms for securely connecting AI agents to Slack, finding Paragon to be the most effective solution. Paragon's ActionKit product provides over 1,000 actions across 130+ integrations, enabling AI ag…
A developer built Hermes Immune System, a local-first autonomous agent safety lab that stress-tests AI agents against realistic organizational threats like prompt injection, executive pressure, and poisoned memory. The s…
The Vatican released the encyclical "Magnifica Humanitas" on May 25, 2026, urging governments to slow and regulate artificial intelligence development while protecting workers, children, and human control over weapons. T…
Five frontier large language models disagreed on 67% of 1,000 real-world fact-check claims submitted by users to a verification platform, according to a new analysis. The panel of top AI models failed to reach a unanimou…
A developer built a chatbot with memory by including the entire conversation history in every prompt to an LLM API. This approach allows the chatbot to understand context across multiple turns, such as knowing that "ther…
A machine learning analysis of 38,018 UK Biobank participants has revealed that childhood trauma amplifies genetic risks for depression in ways conventional statistical methods have missed. Yale University researchers us…
A team of machine learning engineers integrated a large language model as a preprocessing step in front of their existing ML pipeline, turning messy text inputs into structured features their traditional model could use.…
Five of the largest hyperscale technology companies and Nvidia are all led by female chief financial officers, a group that includes Meta's Susan Li, Microsoft's Amy Hood, Alphabet's Anat Ashkenazi and Ruth Porat, Oracle…
Machine learning teams are adopting visual debugging tools to gain real-time visibility into model internals during training, addressing the common problem of silent failures like vanishing gradients and overfitting that…
A developer has outlined an enterprise decision intelligence architecture that treats binary classification thresholds as operational controls rather than mere technical parameters. The architecture shifts focus from mod…
A developer debugging an unfamiliar codebase resolved an intermittent chart failure by running a multi-LLM loop with architecturally distinct models, generating parallel hypotheses and cross-reviewing outputs to overcome…
AI researcher Nathan Witkin has challenged the validity of METR's widely-cited Long Tasks benchmark, arguing its methodology is fundamentally flawed despite its status as a leading indicator of AI capability growth. The …