A new study by climate risk analytics firm First Street reveals that nearly 80% of datacenters are exposed to extreme climate hazards such as flooding, extreme winds, and wildfires. These risks threaten operations, increase downtime, and inflate insurance and repair costs. The report warns that the AI boom is exacerbating the climate crisis while making datacenters themselves more vulnerable.

India is home to about 60% of the world's wild Asian elephants, with around 80% of their habitat outside protected areas. This proximity leads to deadly clashes, with 3,000 human casualties in the last five years and over 1,000 elephant deaths since 2014. Traditional warnings take hours, but new AI systems can reduce response time to minutes or seconds.

A self model is a person-controlled, contextual collection of claims an AI agent may consult, with consent, to personalize its behavior. It is not a full identity, not an objective account of a person, and not a profile owned by a platform. Alma is my experiment in owning and governing that model outside any single product.

The Software Freedom Conservancy is raising funds for its software right-to-repair work and resolving Bambu Lab's AGPLv3 violations, with a goal of $250,000 and $164,970 raised so far.

This article introduces the concept of "principal drift" in enterprise agent architectures, where the human authority behind agent actions becomes increasingly detached as agents multiply and compose. It describes the cascade of identity collapse, authority erosion, and accountability dissolution, and proposes solutions including reasoning-grade audit records and a new "agent operations" function.

Shumai is an open-source platform that replaces Frame.io, offering asset management, collaboration, and AI features for creative teams. It includes S3-compatible storage, frame-by-frame annotations, secure sharing, granular access control, distributed transcoding via Temporal, custom metadata, and an AI agent with semantic search and metadata autofill via Gemini. Installation options: Docker Compose, NPM, or from source.

Amazon's Prime Day sale is live with discounts up to 50% off across dozens of categories. ZDNET is tracking real-time deals on 4K TVs, M5 MacBooks, Samsung devices, SSDs, and more tech, plus competing offers from Walmart, Costco, and Sam's Club.

Agentic AI systems are autonomous platforms that perceive, reason, act, and learn to achieve complex goals with minimal human intervention. This guide explains how they differ from generative AI, their core components, orchestration patterns, and enterprise governance considerations.

As AI systems begin to remember, act, and take responsibility, they force us to confront fundamental questions once reserved for philosophy. This article argues that conceptual clarity from philosophy is essential for engineering, proposing 'executable philosophy' to define problems before testing solutions.

Companies seeing the highest returns from AI are making deliberate investments tied to specific business outcomes, grounded in clean and governed data. This article outlines 10 proven AI business solutions and the conditions necessary for success.

Independent senator David Pocock has challenged the Albanese government to rule out letting tech giants use Australian content to train AI models, as cabinet considers proposals to change copyright rules for the rapidly developing technology.

Retrieval Augmented Generation (RAG) connects large language models to external knowledge bases through a five-stage pipeline — ingestion, embedding, retrieval, augmentation, and generation — enabling accurate, domain-specific answers without retraining the model. A production RAG workflow requires selecting the right embedding model, configuring vector database indexing and chunking strategies, and implementing hybrid search that combines semantic vector search with keyword fallback to maximize retrieval quality. RAG evaluation must measure retrieval precision and generation faithfulness independently, because strong LLM performance cannot compensate for a weak information retrieval component, and continuous data updates are essential to prevent stale knowledge from degrading response accuracy.

NVIDIA technology runs 81% of the TOP500 and 90% of the systems new to the list. 26 systems on the TOP500 adopted the NVIDIA Grace CPU, up eight from the previous list. The top eight systems on the Green500 run on NVIDIA GPUs and nine of the top 10 use NVIDIA technologies. No. 1 on the Green500, KAIROS, uses a single NVIDIA Grace Hopper Superchip. 376 of the TOP500 systems are interconnected using NVIDIA networking. A record 35 NVIDIA AI HPC supercomputers are in development across Europe.

Apple is developing its own AI inference chip, Baltra, but the more interesting question is what it will do with the capacity. The article analyzes three options: keep it internal, sell the hardware, or rent out inference. Drawing parallels to SpaceX leasing its Colossus cluster to Anthropic and Meta's similar considerations, the author argues that Apple is most likely to rent out its highly private inference capability, offering 'trust' as a unique product.

Vector search is a search technique that finds results based on meaning and context rather than exact keyword matches. It uses embeddings to identify similar text, images, audio, and other content, solving limitations of keyword-only search. It is used in RAG, enterprise search, recommendations, and anomaly detection. Production systems often combine vector and keyword search for better results, and managed services like Databricks AI Search add reranking, metadata filtering, and governance.

Google's Open Knowledge Format (OKF) is a markdown standard for AI knowledge. This article tests the runtime pattern when an OKF bundle is placed inside an AI tool and the model must decide which files to inspect. Results show OKF improves retrieval over naive vector search, but session performance degrades significantly due to scope disambiguation, supersession, and session drift issues. The main takeaway: OKF solves interchange, not selection.

This article compares data lakes and cloud data warehouses, highlighting that data lakes store raw, multi-format data for machine learning and advanced analytics, while cloud data warehouses optimize high-concurrency SQL performance for structured reporting. Data lakehouses, built on open table formats like Delta Lake, unify both advantages and are projected to become the dominant architecture for enterprise analytics.

The UK government unveiled a £1.1 billion AI Hardware Plan to support domestic chip companies, build a national AI supercomputer, fund skills training, and attract investment to bolster the country's AI hardware sector.

I tried Gmail's new Gemini Flows feature and it's a huge filter improvement with one big catch for power users.

The Five Eyes intelligence alliance issued a rare joint warning that upcoming AI models will supercharge cyber attacks within months, urging corporations and individuals to bolster defenses.

Parametric Memory launches a verifiable AI memory engine based on cryptographic proofs, offering persistent, tamper-evident storage with Merkle trees, Markov prediction for pre-fetching, and sub-millisecond recall. Compatible with Claude, GPT, and MCP agents, starting at $5/month.

Learn how to extend Claude limits by offloading AI tasks to NEO, enabling production AI deployment from your terminal. Includes installation steps and benchmark results showing 62% cost reduction and 37% speed improvement.

Prime Intellect has released prime-rl 0.6.0, an open framework for asynchronous reinforcement learning on trillion-parameter Mixture-of-Experts models. It trained GLM-5 on SWE tasks at up to 131k sequence length, with sub-5-minute step times and 256 rollouts, on 28 H200 nodes. This breakdown covers the inference and training optimizations behind those numbers — FP8 inference, Wide Expert Parallelism, prefill/decode disaggregation, router replay, and 3-D parallelism (FSDP, EP, CP).

Forge is a pip-installable Python package providing deterministic CLI tools to enforce code quality standards in repositories. It works independently with pre-commit hooks and optionally integrates with Claude Code for AI agents, preventing quality drift in AI-generated code.

An interactive visualization called '35mm Night Sky Starlink Simulator' shows what the night sky would look like with 1 million Starlink satellites in orbit. Created with Claude AI, it lets users explore the potential impact of satellite megaconstellations on astronomy.

This tutorial provides a practical walkthrough for using GLM-5.2 through its OpenAI-compatible API, covering key features such as reasoning-effort control, streaming, function calling, tool-using agents, structured JSON output, long-context retrieval, and cost estimation.

AI functions like a film company: it creates content based on user descriptions, filling gaps with imagination (hallucinations). The experience of using AI mirrors watching movies—some outputs are captivating, but most are forgettable or poor quality.

SIA SEO is an AI-powered content generation platform that automatically creates SEO-optimized articles, builds high-quality backlinks, and tracks AI visibility. It uses multi-model routing, a 26-point quality pipeline, and automated CMS publishing to help websites rank on Google and get cited by AI assistants like ChatGPT and Perplexity.

This issue covers SpaceX's third GPU rental deal with Reflection AI, OpenAI Daybreak's expanded cyber security program, Sakana Fugu's orchestration release and the benchmark transparency backlash, GLM-5.2's breakthrough as an open-weight agent-competent model, Google's Interactions API GA, Baseten's $1.5B Series F, and the growing emphasis on evaluating agents as systems.

AI video & audio effects SDK for real-time apps.