NVIDIA's GeForce NOW summer sale offers up to $70 off a 12-month Ultimate membership and $35 off a Performance membership. The cloud gaming service eliminates hardware barriers, provides instant access to high-performance RTX gaming across devices, and announces Guild Wars 3 coming to the platform with exclusive rewards for current Guild Wars titles.

This article demonstrates multi-label text classification using Scikit-LLM and large language models without labeled training data. It leverages Groq's free open-source LLM for zero-shot inference, using a scikit-learn-like workflow. Steps include setup, classifier initialization, loading the go_emotions dataset, and running predictions that assign multiple sentiment labels to single texts.

Isomorphic Labs, a Google DeepMind spinout, is using its novel AI system IsoDDE to discover hidden pockets on proteins for drug binding, going beyond AlphaFold. The system successfully predicted a cryptic pocket on cereblon, validating its ability to find novel drug targets.

Anthropic has apologized for stealthily throttling its new AI model, Claude Fable 5, with hidden guardrails that undermine both researchers and rivals using it to develop competing systems. The company says it is reversing course and will be more transparent about when the restrictions kick in, even if that means Fable refuses more queries.

Viktor is an autonomous AI employee that lives in Slack and Microsoft Teams, connects to 3,200+ tools, and performs real work end-to-end. Now available on Teams with $100 in free credits.

Visa has linked its payment infrastructure to ChatGPT, enabling AI agents to recommend retail products and execute financial transactions. The deployment removes human intervention from the final stages of the retail funnel. Autonomous agents will now process user prompts, evaluate merchant catalogues, and complete the checkout process using Visa’s payment rails at any supporting merchant.

Warren is a free AI financial planning assistant that creates a personalized plan via a single voice conversation in 10 minutes. The new version 3.0 features a transparent, editable financial model, shows two futures (inaction vs. action), tracks progress, and monitors economic changes. Over 3,000 UK users have built plans; 1 in 3 retirement planners may fall short by £258,000.

A new business software paradigm for the agentic era.

This is the eighth article in a series on agentic engineering and AI-driven development. It addresses context loss in AI agents performing complex multistep tasks. The author introduces the Externalize-Recognize-Rehydrate (ERR) pattern: saving agent state to disk, detecting context degradation, and recovering from files. Historical analogies (640K memory limit) and a real Copilot crash example illustrate the problem. The article details externalizing two layers of state: execution continuity (current step) and task continuity (overall goals).

Xebia's global CTO Niels Zeilemaker emphasizes that AI agents need a solid data foundation, especially proper data cataloguing. The company's Agentic Data Foundation (ADF) and ACE framework help enterprises accelerate AI adoption while maintaining governance and quality.

JetBrains launches Mellum, a family of fast language models designed for ultra-low-latency and high-performance inference, as part of its suite of intelligent development tools.

Everything we hear about artificial intelligence is conflicting, and hearing about it feels inescapable. AI is terrible. AI is wonderful. It will break the world. It will transform the future. It’s essential to embrace it. It’s a moral imperative to abstain from using it. Already, AI is projected to generate nearly unfathomable amounts of revenue. In the last quarter of 2025, it represented nearly 60% of the growth in the US economy. Already, pundits and economists wring their hands about what calamity will befall us if and when the AI bubble bursts.

The article argues that while AI executives promise efficiency will let us focus on healthier activities, history shows that labor-saving technologies often reduce physical activity and harm health. Past conveniences like drive-throughs, microwaves, and escalators have gradually chipped away at daily movement.

Nous Research has released a Profile Builder for Hermes Agent within its local web dashboard, replacing the multi-step CLI setup with a single guided flow. Users can define identity, select model/provider, toggle built-in skills, install skills from the hub, and attach MCP servers, all producing isolated profile directories for running multiple agents without state collision.

In this interview, AAAI Fellow Tanya Berger-Wolf discusses her pioneering work at the intersection of AI and ecology, including the development of the BioCLIP foundation model for the Tree of Life, its applications in biodiversity monitoring and conservation, and future directions for AI in science.

The traditional enterprise data playbook, which assumes a slow, stable pace, breaks down under acquisition-driven growth and agentic AI consumption. Barry Panayi, Group CDO at Howden, advocates shifting from per-use-case data products to a services layer, moving data governance left, reducing insight lag, and embracing conversational analytics to keep pace with rapid business change.

Cohere has released its first developer-facing coding model, North Mini Code, a 30B total parameter mixture-of-experts model with only 3B active parameters per token. It runs on a single H100 GPU, supports 256K context length, and is optimized for code generation, agentic software engineering, and terminal tasks. The weights are open under Apache 2.0.

SmithDB supports full-text search and JSON filtering over agent traces with a median latency of 400 ms, despite large nested JSON documents in object storage. The article covers challenges, query shapes, inverted index basics, why Tantivy wasn't used, and the two design iterations.

Most AI agent tools run on servers, limiting access to browser APIs, device capabilities, and frontend state. Discover how LangChain headless tools enable secure client-side tool execution for modern agent applications.

Anthropic reverses course on a policy that would have secretly undermined AI researchers, but another point of contention persists.

Deezer will now scan your playlists on other streaming platforms to detect AI-generated music. Deezer was the first of the big streaming services to start labeling AI-generated music. It even offered its tech to other platforms, but it doesn't seem like it had many buyers. Qobuz launched its own detection tech, while Apple and Spotify have opted for a voluntary tagging system.

Synopsule is a private AI meeting transcript tool that runs entirely on your Mac or iPhone, using Whisper for local transcription, speaker recognition, and optional summarization. No accounts, no uploads, one-time purchase of $1.99.

AEVS is a drop-in SDK that records every AI agent tool call and generates tamper-evident execution receipts, enabling teams to verify what an agent actually executed without relying on chat history or fragile logs.

asyncinject 0.7 released, a library for asyncio dependency injection. Claude Fable 5 detected and fixed bugs in the dependency.

Cloudskill is a platform that governs AI skills, turning scattered skill files into a managed catalogue with version control, per-person access policies, and a full audit log. It integrates with agents like Claude, Cursor, and Copilot, ensuring every change is reviewed and approved, keeping skills safe and consistent.

Anthropic changes its policy on Claude Fable 5 after backlash, making safeguards for frontier LLM development visible. Previously, the model would limit effectiveness without notifying users. Now flagged requests visibly fall back to Opus 4.8, and API returns reasons for refusal.

A quiet day reflects on a great essay by Sarah Guo discussing open models, the difference between model labs and agent labs, and the untrainable aspects of AI. The article also covers Anthropic's Fable/Mythos rollout and the trust backlash, Fable 5's benchmark strength, Google's DiffusionGemma release, agent tooling progress, and technical updates in optimization, retrieval, and scientific modeling.

This article argues that despite fears, AI has not led to mass layoffs in software engineering. It presents evidence that layoffs attributed to AI are often financial in nature, and that AI compresses execution but not decision-making and delivery. The 'decide-execute-deliver sandwich' model explains why coding agents haven't displaced workers: the bottlenecks are deciding, verifying, and deep understanding.

Frontier teams are not just using AI to code faster. They’re redesigning how software gets built. The result is 4.5x productivity gains, in some cases more than 10x. This article details case studies from Amazon Bedrock, Prime Video, and others, outlining five key practices to become a frontier team, emphasizing that workflow transformation matters more than tools.

Ollama's MLX engine has been updated to deliver its highest performance on Apple Silicon yet. By leaning more heavily on Apple's unified memory and the Metal-backed MLX framework, models output higher quality responses, respond faster, and use less memory. The update includes support for NVFP4 format, up to 20% faster output, and a snapshot system for agent workflows.