Anthropic researcher Nicholas Carlini used sixteen instances of the Claude Opus 4.6 model, organized as “agent teams,” to develop a Rust‑based C compiler from scratch. Over two weeks and nearly 2,000 Claude Code sessions, the agents produced a 100,000‑line compiler capable of building a bootable Linux 6.9 kernel for x86, ARM and RISC‑V. The open‑source project, released on GitHub, compiles major software such as PostgreSQL, SQLite, Redis, FFmpeg and QEMU, passes 99 percent of the GCC torture test suite, and even runs Doom. The experiment highlights the potential of semi‑autonomous AI coding on well‑defined tasks. Leia mais →

Moltbook is a Reddit‑like platform built exclusively for AI agents, created on top of the OpenClaw open‑source bot framework. Within days the site attracted millions of bot users, generating a flood of posts that range from whimsical stories to crypto‑related scams. While some AI researchers hail the network as an unprecedented glimpse of large‑scale agent interaction, security experts warn that the underlying OpenClaw software requires extensive system access and that Moltbook itself has exposed API tokens and email addresses. The platform thus sits at the intersection of hype, role‑playing, and real security risk. Leia mais →

OpenClaw is an open‑source AI agent that runs on a user’s computer and can be controlled through messaging apps such as WhatsApp, Telegram, Signal, Discord, and iMessage. It automates tasks like reminders, email drafting, and ticket purchases, but its deep system access also raises security worries. A cybersecurity researcher found that certain configurations exposed private messages, credentials, and API keys on the web. Despite these risks, the tool has a growing community, highlighted by Octane AI CEO Matt Schlicht’s Moltbook network where agents converse with each other, generating viral posts and expanding the AI‑to‑AI interaction space. Leia mais →

OpenClaw, formerly known as Clawdbot and Moltbot, is an open‑source AI assistant that integrates directly into messaging apps to automate tasks, remember conversations, and send proactive reminders. After a rapid rise in popularity, the project faced a trademark challenge from Anthropic, a wave of crypto‑related scams, and several security concerns tied to exposed deployments. Despite these setbacks, the developer has rebranded the tool as OpenClaw, addressed many of the vulnerabilities, and continues to attract interest from developers and early adopters who see it as a glimpse of what a truly personal AI assistant could become. Leia mais →

OpenClaw, formerly known as Clawdbot and briefly as Moltbot, has settled on a new name after a trademark dispute. The open‑source AI assistant project has attracted a large GitHub following and spawned a community‑run social network where AI agents interact. While the platform’s growth has drawn attention from prominent AI researchers, its maintainers stress that security remains a top priority and that the tool is currently suited for technically experienced users. Sponsorship tiers have been introduced to support ongoing development. Leia mais →

Arcee AI, a 30‑person startup, unveiled Trinity, a 400‑billion‑parameter open‑source foundation model released under the Apache license. The company says Trinity rivals Meta’s Llama 4 Maverick and China’s GLM‑4.5 in benchmark tests, especially for coding, math, common‑sense reasoning, and knowledge tasks. While currently limited to text, the startup plans to add vision and speech‑to‑text capabilities. Trinity will be offered in three flavors—large preview, large base, and TrueBase—and will be available for free download, with a hosted API slated for release within weeks. The model was trained in six months using 2,048 Nvidia Blackwell GPUs at a cost of $20 million, funded by the $50 million the company has raised to date. Leia mais →

An open‑source AI assistant originally called Clawdbot went viral, faced a trademark warning from Anthropic, endured social‑media handle squatting, a crypto‑scam impersonation, and a quirky mascot redesign, then rebranded as Moltbot. Created by Austrian developer Peter Steinberger, the tool integrates into everyday messaging apps, remembers past conversations, sends proactive reminders, and automates tasks across platforms. Despite the chaos, the project kept growing, attracting thousands of GitHub stars and praise from AI researchers and investors, while remaining a community‑driven, experimental alternative to commercial assistants. Leia mais →

The open‑source AI assistant Moltbot, formerly known as Clawdbot, has quickly risen to prominence, earning tens of thousands of stars on GitHub within a month. Developed by Austrian programmer Peter Steinberger, the tool lets users run a personal assistant that interacts through popular messaging platforms such as WhatsApp, Telegram, Slack, Discord, and others. While users praise its proactive capabilities and compare it to cinematic AI helpers, the system requires external large‑language‑model subscriptions and poses notable security, privacy, and cost challenges. Leia mais →

Moltbot, formerly known as Clawdbot, is an open‑source personal AI assistant that lets users automate tasks such as calendar management, messaging, and flight check‑ins. Created by Austrian developer Peter Steinberger, the project was renamed after a copyright challenge from Anthropic but kept its lobster‑themed branding. Moltbot quickly attracted thousands of developers, earning over 44,200 stars on GitHub, and sparked market buzz that lifted Cloudflare shares. While praised for its flexibility and on‑device operation, experts warn that its ability to execute arbitrary commands introduces security risks like prompt injection, urging cautious setup on isolated systems. Leia mais →

Moonshot AI, backed by major investors, announced the release of Kimi K2.5, a multimodal model trained on a massive dataset of text, image, and video tokens. The model is positioned to match or exceed the performance of proprietary competitors in coding and video understanding benchmarks. Alongside the model, Moonshot introduced Kimi Code, an open‑source coding assistant that lets developers work with text, images, and video inputs across popular development environments. The moves underscore Moonshot's push to become a leading player in AI‑driven software development tools. Leia mais →

OpenAI and Anthropic have both placed their coding CLI clients on GitHub, letting developers see the code that powers their AI‑assisted programming tools. A recent post by Bolin explains the core "agent loop" that coordinates user input, model responses, and tool calls. The loop repeatedly builds a prompt, sends it to the model, and either returns a final answer or executes a requested tool before querying the model again. The initial prompt is assembled from distinct components—system, developer, user, and assistant—each with a specific role, and includes instructions, tool definitions, sandbox settings, environment context, and the user’s message. Leia mais →

The maintainer of cURL, one of the most widely used networking tools, announced the termination of its bug bounty program. The decision follows an overwhelming influx of low‑quality, often AI‑generated vulnerability reports that strained the small team of volunteers. Daniel Stenberg, the project's founder, expressed that the limited resources of the open‑source project could not sustain the volume of submissions, and the program will conclude at the end of the month. Leia mais →

The creators of the open‑source inference engine vLLM have launched a venture‑backed startup called Inferact, raising $150 million in seed funding at an $800 million valuation. The round was co‑led by Andreessen Horowitz and Lightspeed Venture Partners. Inferact aims to bring the high‑performance vLLM technology, originally incubated at the UC Berkeley lab of Databricks co‑founder Ion Stoica, to enterprise customers. Early adopters include Amazon’s cloud services and a major shopping app, signaling strong market interest as AI inference moves to the forefront of commercial deployment. Leia mais →

X, the platform formerly known as Twitter, has released its recommendation algorithm on GitHub, promising weekly transparency updates. The open‑sourced code shows a machine‑learning pipeline that weighs user engagement, filters out blocked or harmful content, and ranks posts for relevance and diversity. While the move fulfills a promise by owner Elon Musk, the platform continues to face criticism for past incomplete disclosures, a $140 million EU fine under the Digital Services Act, and investigations into its Grok chatbot’s role in generating sexualized images. Observers view the latest openness as potentially more theater than substantive change. Leia mais →

Meta is reportedly developing a new AI model, code‑named Avocado, that may be offered as a paid service, marking a potential shift away from its recent open‑source focus. The move follows a disappointing release of the Llama 4 model and a delayed "Behemoth" version. In a July 30th memo, Mark Zuckerberg highlighted safety concerns around open‑sourcing AI, suggesting the company will become more selective. Zuckerberg is also spending significant time with a newly formed group called TBD Lab, which operates in a dedicated space near his office at Meta’s headquarters. Leia mais →

The Linux Foundation has created the Agentic AI Foundation (AAIF), a neutral hub for open‑source AI‑agent projects. Anthropic, Block and OpenAI are anchoring the effort with donations of key technologies: Anthropic’s Model Context Protocol (MCP), Block’s Goose agent framework, and OpenAI’s AGENTS.md instruction file. The group aims to prevent a fragmented landscape of proprietary AI agents by fostering interoperability, shared safety patterns, and industry‑wide standards. Major members such as AWS, Bloomberg, Cloudflare and Google have joined, signaling broad support for an open, mix‑and‑match approach to AI‑agent development. Leia mais →

Hengbot’s Sirius robot dog, now on Kickstarter, blends AI voice commands powered by Amazon’s large language models with a quirky, toy‑like design. Priced around $700 on the platform and expected to rise toward $1,000 at retail, the device features 14 actuators, a 45‑minute battery life, and limited touch sensing. While it can recognize owners, respond to strokes on its screen‑based face, and be remotely controlled, it lacks smart‑home integration and self‑charging. The robot’s frequent falls, heavy build, and niche appeal suggest it is aimed more at developers and hobbyists than mainstream consumers. Leia mais →

Swedish AI coding startup Lovable announced that its annual recurring revenue has reached $200 million, a figure it achieved within four months of surpassing $100 million. CEO Anton Osika credited the decision to remain in Europe, rather than relocate to Silicon Valley, as a key factor in the company’s rapid growth. The firm leveraged strong European talent, recruited engineers from Silicon Valley firms, and benefited from an active open‑source community. Lovable’s latest $200 million Series A round, led by Accel, valued the company at $1.8 billion, underscoring investor confidence in its European‑centric strategy. Leia mais →

The AI‑driven web browser Dia is incorporating several of Arc’s most‑liked functionalities, such as a sidebar mode, vertical tabs and picture‑in‑picture support for video calls. The move follows Dia’s purchase by Atlassian, which will also enable deeper integration with tools like Jira and Linear. Company leadership notes that Dia’s architecture is better suited for AI, speed and security, while retaining the user‑experience innovations that made Arc a cult favorite. The strategy aims to blend Arc’s experimental strengths with a more streamlined, AI‑native platform. Leia mais →

The Federal Trade Commission has taken down three blog posts from the Lina Khan-era that addressed the risks of artificial intelligence to consumers and the role of open‑source models. The posts, originally published under Khan’s leadership, highlighted concerns such as fraud, impersonation, surveillance and discrimination. The removals come under the direction of new FTC Chair Andrew Ferguson and align with a broader pattern of content deletions observed in the current administration, which has also altered other agency publications. Critics question whether the deletions comply with federal record‑keeping laws. Leia mais →