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Sony Music and Universal Music Group have sued AI music generator Suno again, alleging its newly launched v6 model still infringes their copyrights. The labels argue v6 was trained on outputs from Suno's earlier models, which themselves relied on unlicensed music, and that this 'model laundering' carries the infringement forward even without direct use of the original recordings.
404 Media reports that multiple contractors hired to improve OpenAI's models were terminated after being caught using AI tools to complete their training tasks, citing internal documents and interviews with contractors. One worker shared a termination letter citing concerns about the 'authenticity' of their work, while sources said such firings are common across a workforce of thousands. Two of the contractors worked through Mercor, a staffing firm reportedly in talks with Nvidia for a $20 billion valuation.
Artificial Analysis maintains an Intelligence Index that plots large language models against their blended API cost per million tokens, using a 3:1 input-to-output ratio and a log-price scale. The tool highlights a 'value frontier' of models that aren't beaten on both price and intelligence by any other option, showing only top variants and hiding low scorers by default, with filters to expand the view.
At KDE's Akademy 2026 conference, former Apple and Google UX designer Scott Jenson called on open-source developers to experiment with desktop interfaces beyond the decades-old windows, icons, menus and pointer model. Jenson, who now works with Mastodon and Home Assistant, said he left Google over cultural changes there and now tries to bring better UX practices to open-source projects despite their limited staffing.
Anthropic and the Howard Hughes Medical Institute's Janelia Research Campus have developed a software framework called the Model Hardware Standard (MHS) that lets lab instruments from different vendors communicate and be controlled by AI agents. Researchers at Carnegie Mellon demonstrated the system autonomously coordinating a robotic arm, a liquid-handling device and an analysis instrument without human intervention.
Apple's AI research team has published LensVLM-9B, a 9-billion-parameter vision language model that processes long documents by first compressing text into image form and then selectively decompressing only the pages it judges relevant, using learned tools. The model, code and demo scripts have been released on GitHub and Hugging Face under Apple's Machine Learning Research Model License and Sample Code License, with configurable compression ratios of 5x, 10x, or 15x.
Alibaba Cloud has launched Qwen Image 2.1, an open-weight image generation model with only 7 billion parameters, small enough to run on older consumer GPUs like the RTX 3090. The model adds native transparent-background generation and can combine up to 10 reference images into a single consistent output, and Alibaba's own benchmarks claim it outperforms closed models including Google's Nano Banana 2.0. Unlike its predecessor, the new licensing terms bar commercial resale without a separate agreement from Alibaba.
Rabbit has launched OS3, a software platform that lets users control desktop computers via a local agent from a browser, Telegram, iMessage, or the R1 device. Users can link up to five computers to one account, and the system routes requests—such as editing a spreadsheet—to the right machine. Rather than charging a subscription, Rabbit requires users to supply their own API keys from providers like OpenAI or Anthropic, or connect local open-source models.
A GitHub project called jevper reimplements the documented 'System One' wire format used by the Jev interface, letting developers run typed questions (choice, score, noul) against any OpenAI-compatible model instead of the hosted TypeSafe API. It works with self-hosted llama.cpp servers or other duck-typed clients, requiring no dependency on typesafe-sdk or openai at runtime, and is installable via pip as a Python 3.10+ package.
OpenAI and Anthropic each released new AI models on the same day, continuing a pattern of frequent announcements. Much of this apparent acceleration reflects companies repackaging capabilities from earlier flagship models into new versions at different price points, rather than pure leaps in underlying capability.
Researchers studied how cancer cells repair DNA breaks that occur at TA-repeat sequences within extrachromosomal DNA (ecDNA), circular fragments that often carry amplified oncogenes like MYC. Using cell lines including COLO320DM, HeLa-derived clones and engineered mouse neural stem cells, the team found that a repair mechanism called microhomology-mediated end joining (MMEJ) helps preserve these ecDNA elements and the growth advantage they give cancer cells.
Anthropic released Opus 5.5, an update to its flagship coding and knowledge-work model, while OpenAI released GPT-6 Sol and Luna, updates to its mid-tier and smaller efficiency-focused models. Anthropic says Opus 5.5 cuts token pricing by 20%, cuts cache-read costs by 60%, and runs over 30% faster than its predecessor, while benchmarks from Anthropic show it modestly outperforming OpenAI's recently released GPT-6 Astra on coding tasks.