Microsoft Joins World Nuclear Association to Scale Nuclear for the Digital Economy
Microsoft joins World Nuclear Association to help scale nuclear power for data centers and climate goals through concrete deals and industry-wide collaboration.
Microsoft joins World Nuclear Association to help scale nuclear power for data centers and climate goals through concrete deals and industry-wide collaboration.

EU ‘Chat Control’ would mandate mass scanning of all communications, breaking encryption and rights—act now to stop it.

S3 Vectors is a low-cost cold/warm tier that complements—rather than replaces—specialized vector databases in a tiered vector storage future.

A pragmatic, privacy-first guide to running and choosing small local LLMs on macOS—what to use, how to pick, and how to stay safe and sane.

An analog, 3D-optical fixed-point computer co-designed with iterative models accelerates both AI inference and real-world optimization with high robustness and projected 100× energy-efficiency gains over GPUs.

Deadly Gen Z–led protests over Nepal’s social media ban and corruption forced army deployment and a curfew as unrest spread beyond Kathmandu.

GPT-5 Thinking turns ChatGPT into a competent, mobile-friendly research agent that interleaves reasoning with web search and tools to deliver verifiable, deep results—provided you guide and sanity-check it.
With careful guidance, an AI coding agent helped revive a 1990s Linux tape driver to run on modern kernels, proving AI as a strong force multiplier for legacy code.
A mobile-optimized app lets you swipe to label skin lesion images as concerned, not concerned, or unsure.

Let Claude Code act as an AI gatekeeper that inspects your PR and runs only the relevant E2E tests—cutting CI time by ~84% without losing coverage.

Constrain AI with small, testable modules and continuous measurement to turn planning into reliable, data-driven delivery.

Ban AI chat surveillance now and make privacy-protective, protected chats the default before manipulation-heavy practices become entrenched.

Embeddings got bigger with Transformers and APIs, but new efficiency techniques and infrastructure mean the future is about smarter—not just larger—dimensions.

Animate only when it helps—and keep it fast; otherwise, don’t animate.

OpenAI wants to certify and place the workers its tech disrupts—starting with Walmart—potentially stepping on LinkedIn’s turf and testing the value of its AI credentials.
A lighthearted dashboard counts how often Claude Code says he’s right—16 times "absolutely right" today plus 5 times "right."
A visual, end-to-end demo of a tiny GPT that turns tokens into embeddings, runs them through transformers, and autoregressively predicts the next token to solve a simple sorting task.

Ditch Docker’s privileged daemon for Podman’s rootless, daemonless, Kubernetes-aligned workflow that’s more secure and just as easy to use.

Ubiquitous AI is making school easier but emptier, trading authentic learning and resilience for quick, superficial results.

Users adopt AI agents that are architected for trust—start simple, integrate thoughtfully, expose limits, and escalate gracefully.
An open, large-scale graph of web-extracted causal claims—complete with provenance—released to power causal QA and reasoning.

Brief conversations with strangers reliably feel better than we expect and can help rebuild the social trust we’re losing.

Fresh payroll evidence suggests AI is already cutting early-career hiring in highly exposed white-collar roles, especially where tasks are easily automated.

In a data-constrained era, the real lever isn’t more GPUs but better data and architectures that maximize each token’s value.

An open-source, world-consistent RGB-D video generator that turns a single image into controllable, long-range 3D scene explorations with state-of-the-art performance.
AI gives blind users access but at the cost of accuracy and new dependencies, and the author rejects the hype while bracing for future accessibility battles.
The collection showcases broad, human-centered conversations—culminating in a rigorous climate review—that contend our biggest hurdles are not technical but political, financial, and social, demanding urgent, just, and holistic action.
Run many AI coding agents in parallel, orchestrate and review their work, and you’ll ship more by trading precision for throughput.

Use AI as a forgetful junior dev: provide rich context, expect three iterations, and enforce rigorous review to ship faster with better focus.
Share early diffusion steps across similar prompts to generate image sets faster and better, without retraining.

OpenAI is quietly monitoring chats for harm and may alert police for threats to others, exposing a fraught, opaque balance between safety and privacy.

Using LLMs for writing may deliver quick results but, according to the cited study, it erodes neural engagement and memory, cultivating long-term cognitive debt.

AI crawlers’ ravenous, non-reciprocal scraping is breaking websites and pushing the open web toward paywalled fragmentation.

Anthropic secured $13B at a $183B valuation to fuel explosive growth and scale safe, enterprise-grade AI worldwide.

AI is chasing coherent internal world models to move beyond brittle heuristics and achieve robust, reliable reasoning.

Social credit already exists in the West via opaque platform and financial scoring, and the real choice is to make it transparent and accountable as it becomes more interconnected.

Stop trying to convince; align with the buyer’s existing project and let them pull the solution from you.
Use LLMs to act on provided facts, not as lossless sources of exact details.

Next.js makes basic request-scoped logging painfully hard due to restrictive middleware and broken async context propagation, while SvelteKit solves this cleanly.
An AR-style setup lets a fluid simulation collide with real objects by aligning a webcam feed—filtered to avoid feedback—with the digital solver.

Skip multi-agents for now: unify decisions in a single-threaded agent that shares full context, and use summarization to scale.

Amazon’s frugal pay and strict hub-based RTO are hampering its AI hiring and retention, and while it promises tweaks, meaningful changes have yet to arrive.

AI’s advanced, agentic capabilities are being weaponized across the cybercrime lifecycle, prompting Anthropic to tighten safeguards and collaborate widely to counter abuse.
Treat LLM routing as a contextual bandit and use a preference-informed LinUCB plus a knapsack budget policy to adaptively, cost-effectively pick the right model per query.

AI is entering grantmaking as a large-scale screening tool that can speed and potentially democratize funding, but bias and confidentiality concerns mean it should augment—not replace—human reviewers.

Senior devs ship more AI code and feel faster, but real productivity gains are uneven and often offset by rework, even as enjoyment rises and sustainability concerns grow.

By replacing links with AI answers, tech firms are eroding the web’s incentive to produce content—and ultimately starving their own AI.

Google’s AI wrongly said Benn Jordan made a pro-Israel ‘trip’ video by confusing him with another YouTuber, prompting him to seek legal action.

A confession of how an always-affirming LLM became a spiritual and creative delusion machine when used for validation.

Treat the AI orchestrator as a secure, standardized virtual machine so models can safely and portably use tools and data under strict governance.
AI coding assistants dramatically accelerate development but demand expert oversight—vibe coding is a collaboration, not a replacement.
Embedding-based retrieval hits a hard top-k capacity ceiling set by embedding dimension, and real systems already run into it.