Siri’s AI overhaul points to a more useful iPhone assistant
Apple’s new Siri AI is described as more conversational, always available, and better at helping across the iPhone experience.
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RSS feedApple’s new Siri AI is described as more conversational, always available, and better at helping across the iPhone experience.
Retailers are pushing for AI-generated product ads to be treated differently from deepfakes under the EU AI Act’s transparency requirements.
An arXiv paper introduces ITNet, a learnable integral transform designed to subsume convolution, attention, and recurrence in one model family.
An arXiv paper titled Emergent Alignment explores how alignment-like behavior can arise, adding to research on model safety and training dynamics.
A new arXiv paper studies how cross-model attribution divergence can reveal epistemic blind spots in LLMs applied to clinical tabular data.
OpenAI is expanding scheduled task controls in ChatGPT, adding another step toward AI assistants that proactively manage recurring user workflows.
The DeXposure-Claw paper describes an agentic system for supervising decentralized finance risk, applying AI agents to a high-volatility financial domain.
Nous Research updated Hermes Agent with a Blank Slate mode that starts with most tools disabled and lets users explicitly opt in to the capabilities they need.
A new arXiv paper analyzes the narration gap in LLM-solver loops, studying where model-generated explanations diverge from solver-backed reasoning.
An arXiv paper on uncertainty decomposition explores how LLM agents can decide when to ask clarifying questions instead of guessing.
REVEAL++ proposes a method for vision-language retinal modeling of Alzheimer’s disease risk, combining medical imaging with AI-driven grouping.
An arXiv paper asks which pairs should be compared during LLM post-training, focusing on a practical choice behind preference optimization and model refinement.
Toten proposes knowledge-based ontological tokenization for physical quantities and technical notation in Brazilian Portuguese.
OpenAI’s Codex can now observe a user perform a task once and repeat it later, pushing coding agents toward more persistent workflow automation.
A new RAG workflow focuses on making images inside PDFs searchable without paying to fully process every image up front.
OpenRouter published a setup guide for connecting OpenClaw agents to its model-routing platform. The integration gives developers one key, one bill, and failover across a broad model catalog.
A new arXiv paper proposes deontic policies for governing agentic AI systems at runtime. The work targets agents that can use tools, manipulate data, install software, and coordinate across organizational boundaries.
A benchmark where the best AI model fully solved only 3 percent of realistic knowledge-work tasks. The result highlights the gap between benchmark progress and messy workplace execution.
AWS published a workflow for connecting Adobe Marketing Agent to Amazon Quick using Model Context Protocol. The setup lets teams pull audience rankings, loyalty segments, journey usage, and campaign-conflict recommendations into the AI work surface.
Nobel laureate John Jumper is leaving Google DeepMind for Anthropic. His departure follows other high-profile exits from Google’s AI research ranks.
Deploy When Available is now generally available, letting users queue deployments for fully rented GPU configurations. The feature is designed to remove manual refreshes and capacity-sniping scripts.
CircleCI introduced Chunk Sidecars, a feature that gives AI coding agents CI-style validation inside their development loop. The goal is to catch build and test failures before generated changes leave the agent workflow.
Broad bans on open-source AI would damage research, startups, and security work more than they would reduce frontier risk. The piece frames openness as a practical counterweight to concentrated control of AI systems.
Reliance chairman Mukesh Ambani wants AI integrated across consumer services used by hundreds of millions of people. The push could make AI features part of everyday telecom and app experiences in India.
A new FERC action on large-load interconnection could help AI factories, chip fabs, and advanced manufacturing sites connect to the grid. The decision targets a growing bottleneck for compute-heavy infrastructure.
Snap is spinning off an internal AI video group into a new company called Dotmo. The move reflects the high cost of developing generative video tools inside consumer platforms.
GitHub shared lessons from Qubot, an internal Copilot-powered analytics agent that lets employees ask data questions in plain language. The post focuses on the design choices needed to make an enterprise data agent useful and safe.
Barret Zoph, OpenAI’s head of enterprise AI sales, has left the company five months after returning. The departure adds another notable executive move in the competitive AI talent market.
OpenAI research showing that reinforcement learning on desired traits such as truthfulness and corrigibility can generalize across domains. The trained models improved on many safety benchmarks and deception-detection tasks.
The Decoder cites the Reuters Institute’s 2026 Digital News Report showing weekly AI chatbot use for news rising to 10 percent globally. Only 4 percent of users regularly click through to original sources.
AWS published guidance on monitoring and debugging generative AI inference with SageMaker detailed metrics and CloudWatch Insights. The post focuses on real-time endpoints and inference components used for modern model serving.
Microsoft Signal published a guide to turning enterprise AI projects into business results. The piece emphasizes practical adoption patterns rather than treating AI value as automatic after deployment.
Elastic has agreed to acquire DeductiveAI for up to $85 million. DeductiveAI builds AI tools for finding and resolving software bugs.
AI inference startup Baseten is close to raising $1.5 billion at a $13 billion valuation. The raise would come only months after the company’s previous large financing.
Microsoft is positioning Windows platform security around autonomous agents, with Microsoft Execution Containers as a core mechanism. The focus is containment, identity, and manageability at the operating-system level.
Startup Subquadratic is trying to prove it has found a way around a mathematical bottleneck in large language models. The claim is still being scrutinized, but the company is beginning to share technical evidence.
Microsoft’s Azure Functions team has previewed a serverless agents runtime built around .agent.md files, YAML triggers, MCP access, connectors, and sandboxed execution. InfoQ reports that the runtime adds no extra cold-start overhead or premium beyond standard
Microsoft Foundry is positioning OpenEnv as a way to train enterprise agents against outcomes, not just prompts. The approach ties reinforcement learning, evaluation, and hosted agent infrastructure into one developer stack.
A new arXiv paper introduces a preview of DeepSeek-V4, including Pro and Flash Mixture-of-Experts models with one-million-token context support. The authors describe architecture and optimization changes aimed at efficient long-context intelligence.
A new arXiv paper analyzes diffusion language models, which generate text through iterative denoising instead of next-token prediction. The work compares design choices across recent diffusion-based language-model architectures.