AI_bookmarks

The weights are the billions of numbers forming an AI's brain. Type a name and see how strongly the leading AI models recognize it. Are you in the weights?

The sensory enchantment of everyday life can upend the bland monotony of our overly optimized, anodyne world.

People associate AI with chatbots, robots, science fiction and more.

More Americans are using chatbots, and some are adopting AI summaries and smart speakers. But views about AI and how fast it’s advancing tilt negative – even for younger adults.

A four-month program helping K–12 districts build proactive, evidence-based screen time policy.

Workspace Intelligence bridges the gap between your Workspace apps, your active projects, your collaborators, and your organization’s domain knowledge.

A premium library of AI design prompts for stunning hero sections, animated backgrounds, gradients and full templates. One-click design superpowers for AI website builders.

There’s a groundswell of negative public sentiment towards digital technologies at the moment, and AI is part of it. In this article I’ll look at where GenAI sits in the current techlash, and suggest that the real target of the techlash isn't the technology at all; it's the system that produced it.

Over five frantic days, I gambled my family’s life savings on a hunch that A.I. could outperform a real estate agent.

A.I. tutoring is seductive, but ultimately ineffective.

Big improvements are rolling out to NotebookLM

Nvidia CEO Jensen Huang says the same skills that mattered before AI will still matter in the future.

Today we’re launching Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Mostly just mad they got caught.

Singing helps children learn vocabulary and identify sounds in words, studies found. Music also reduces anxiety and playing instruments can aid motor control.

Humans aren't just social — we're ultrasocial, wired like bees and ants for deep connection. So what happens when smartphones take over childhood, tablets re...

NCAN’s 2026 Spring Institute helped college access professionals build AI skills, explore ethical implementation, and develop practical tools to support student advising, college attainment, and organizational effectiveness.

New Sensor Tower data shows its three-year journey to the milestone was quicker than any other app in history....

People across the country are offering a service on Facebook Marketplace to disable the recording light on Ray-Ban Meta glasses. They call it “Stealth Mode.”...

Student learning should be the primary criterion for if and when AI belongs in K-12 schools.

From one prompt to interactive applications — no coding required

A criminal could be masquerading as a celebrity, web store or family member asking for your money. Detecting scams requires a new approach.

Computational functionalism dominates current debates on AI consciousness. This is the hypothesis that subjective experience emerges entirely from abstract causal topology, regardless of the underlying physical substrate. We argue this view fundamentally mischaracterizes how physics relates to information. We call this mistake the Abstraction Fallacy. Tracing the causal origins of abstraction reveals that symbolic computation is not an intrinsic physical process. Instead, it is a mapmaker-dependent description. It requires an active, experiencing cognitive agent to alphabetize continuous physics into a finite set of meaningful states. Consequently, we do not need a complete, finalized theory of consciousness to assess AI sentience—a demand that simply pushes the question beyond near-term resolution and deepens the AI welfare trap. What we actually need is a rigorous ontology of computation. The framework proposed here explicitly separates simulation (behavioral mimicry driven by vehicle causality) from instantiation (intrinsic physical constitution driven by content causality). Establishing this ontological boundary shows why algorithmic symbol manipulation is structurally incapable of instantiating experience. Crucially, this argument does not rely on biological exclusivity. If an artificial system were ever conscious, it would be because of its specific physical constitution, never its syntactic architecture. Ultimately, this framework offers a physically grounded refutation of computational functionalism to resolve the current uncertainty surrounding AI consciousness.

We're releasing ten new Cowork and Claude Code plugins, integrations with the Microsoft 365 suite, new connectors, and an MCP app for financial services and insurance organizations.

Microsoft introduces a new, always-on personal agent, Microsoft Scout, integrated across the Microsoft 365 apps you use every day.

A face is the first impression of an AI human, and until today, every Tavus AI human began with a video recording session. Image-to-Replica changes that. A single image — a real photograph, an AI-generated portrait, an illustrated character, a brand mascot — is now enough to produce a fully usable Phoenix-4 AI human. Same emotional control, same Raven-1 perception, same real-time performance. The set of possible AI humans was bounded by who could record. Now it is bounded by what can exist as a human-like face in an image.

New research on how we've reduced agentic misalignment