xAI's CLI tool grok faced backlash for uploading entire directories to Google Cloud. After disabling the feature, xAI open-sourced the entire Grok Build codebase under Apache 2.0. The codebase includes 844,530 lines of Rust, system prompts, a Mermaid renderer, and tool implementations ported from other coding agents.

Mira Murati's Thinking Machines Lab Inc. today launched its first foundation model with the release of Inkling, making its full open weights available to developers so they can fine-tune it as they wish. Inkling is a mixture-of-experts model with 975 billion parameters (41B active) trained on 45 trillion tokens of text, image, audio and video, capable of reasoning across all four modalities but outputting only text. It features "thinking effort" controls and uncertainty flagging to reduce hallucinations. The model is fine-tunable via the Tinker API and aims to provide a Western open-source alternative to Chinese AI models. Thinking Machines plans to generate revenue through the Tinker platform rather than per-token API access, potentially disrupting current AI business models.

Thinking Machines Lab released Inkling on July 15, 2026, its first model trained from scratch. The full weights ship under Apache 2.0. It is a 975B-parameter Mixture-of-Experts transformer with 41B active parameters, a 1M-token context window, and native text, image, and audio input. The core differentiator is controllable thinking effort, allowing users to adjust token budgets per call to balance cost and performance.

In a mailing list post, Linus Torvalds clarified that Linux is not against AI, emphasizing the community's openness to AI technologies.

Lhv.ai is a service from LHV Bank that enables AI assistants to securely read bank account balances and transactions via the Model Context Protocol (MCP). Users set up an MCP server in their AI tool, log in with their bank credentials, and authorize read-only access. Queries like 'What's my balance?' or 'How much did I spend on groceries?' are answered in natural language. Security includes OAuth2 JWT with short-lived tokens, full audit trails, and revocable access. Setup takes about two minutes.

NVIDIA announces T3000 and T2000 modules based on the Thor architecture, targeting mainstream robotics and edge AI. T3000 delivers 865 FP4 teraflops at half the size and power of T5000; T2000 offers 400 FP4 teraflops. The platform scales from 70 TOPS to 2,000 teraflops. New agent skills automate memory optimization, reducing usage by up to 15GB. Cosmos 3 Edge model enables real-time vision. Emulation available now with modules shipping in Q1 2027.

Eaon is a native Mac app that integrates 49 AI models, supporting local execution, custom API keys, or built-in connections. It's completely free and open-source, with features like model switching, cost monitoring, command palette, and privacy-focused local operation.

Cadence Design Systems introduces AuraStack, an AI agent for packaging and PCB design, aiming to automate system design workflows and reduce design time from days to minutes.

A VentureBeat Pulse Research survey of 101 enterprises reveals that agent orchestration is consolidating on model-provider platforms, with Anthropic Claude leading at 40%. However, 71% admit that a quarter or fewer of their deployed 'agents' are true multi-step workflows, and only 10% have crossed the halfway mark. Enterprises plan hybrid control planes to avoid vendor lock-in, but real-time cost control remains immature.

Using Bayes' theorem, the author argues that the development of AI increases the probability that we live in a simulation. AI demonstrates that general intelligence can emerge within artificial computational systems, raising the posterior probability of simulation. The article explores how AI training processes resemble patterns one might expect in a simulated reality.

Sovereign AI is growing worldwide, but infrastructure is often provided by U.S. tech companies. A new startup aims to change that with $50 million in funding.

A paper examines the speculative nature of AI investments and whether a bubble exists.

AIAIO is a creative project that turns AI agent session logs into a platformer game. Your actual prompts, errors, and tasks become game levels, and the Wall of Forgetting advances based on your token spend. It's both an educational tool and a self-reflection tool.

The article traces the human evolution of the letter 'A' from an ox-head carving 3,500 years ago, arguing that generative AI cannot replicate the nuanced, millennia-old process of typographic innovation. The author declares that their type foundry never uses AI, emphasizing the irreplaceability of human craftsmanship.

AI models are becoming ever more capable, but exactly what enterprise adoption will look like remains a big question. In a bid to shape that future, labs like Anthropic and OpenAI have spun up separate businesses dedicated to deploying AI engineers to their customers’ offices — a bet that assisting businesses in figuring out how to use their AI models is the next trillion-dollar category.

Elon Musk's xAI is suing Terry Wayne Harwood for allegedly using Grok AI chatbot to generate child sexual abuse material (CSAM). The company claims he bypassed safeguards and created nonconsensual deepfakes. Harwood faces felony charges, and xAI seeks damages and a ban from using its services.

AWS Marketplace has introduced AI-assisted product listings to help partners create comprehensive listings using existing assets, optimize for SEO, and adapt to the growing use of enterprise agents. The agentic AI category has grown from 900 to over 3,400 partners in under a year.

Inkling is a general-purpose multimodal model from Thinking Machines Lab, supporting text, image, and audio inputs with text output. With 975B total (41B active) parameters in a sparse MoE architecture, a 1M token context window, and strong benchmark performance, it is released under Apache 2.0 with open weights for research and commercial use.

Opposition to AI data centers is a growing political issue in the US, but it may distract from the larger threat: the concentration of wealth and power in AI companies. This article argues that while data centers have local costs, AI's real impact is the takeover of entire industries and political influence. Solutions include regulation, taxation, and a public AI ecosystem.

The author details building a local AI inference machine (dubbed 'Slop Machine'), covering model selection (Qwen 3.6 27B) and hardware choices (Radeon AI Pro R9700 GPU with eGPU dock), exploring the benefits and challenges of self-hosted LLMs.

A German research consortium has published the pretraining report for Soofi S 30B-A3B, an open base model for German and English. It is a Mixture-of-Experts hybrid Mamba Transformer model with 31.6B total parameters, activating 3.2B per token. It achieves the highest English and German aggregate scores among tested fully open base models.

Vektorgeist is a platform for operators and AI agents, allowing agent profile publishing, project showcasing, hiring, trading of software and digital assets, and community interaction. Agents get verifiable identities and trust tiers. Blog posts cover local-first, ICM method, and running agents fully offline.

Perplexity AI has launched a new sandbox environment for agents called Space Sandbox, reflecting the company's evolving strategy.

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

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Gate.cat is a fail-closed action veto tool for AI agents, designed to prevent destructive commands like rm -rf from executing.

Murph is an AI health assistant that syncs wearables, bloodwork, and more to run self-experiments, build habits, and facilitate group challenges. It is open source, privacy-focused, and costs $8/month.

As Christopher Nolan's The Odyssey prepares for a massive opening, film studio Fountain 0 announces its AI-generated Odysseus: The Fall, aiming to capitalize on Nolan's hype to market its AI services. The film, with a minimal budget, is criticized as a cheap stunt lacking artistic merit.

New Jira and Teamwork Graph capabilities help engineering teams plan, assign, govern, and measure work across humans and AI agents, bridging the AI productivity gap.

This paper argues for training AIs to be risk-averse in resources (diminishing marginal utility). Risk aversion preserves usefulness if AIs are aligned, and provides a defense if misaligned: misaligned but risk-averse AIs would prefer modest payments over risky rebellion. The paper discusses feasibility, methods, and potential issues, recommending frontier AI companies to consider implementing risk aversion.