✔️ US Senators demanded ByteDance to shut down the Seedance video generator
Members of Congress sent a letter to their management calling for an immediate halt to work on Seedance 2.0. They believe this is one of the most blatant cases of copyright infringement in ByteDance products: the app creates videos with images of real people and characters without the consent of rights holders.
The document cites examples: videos featuring Tom Cruise, Brad Pitt, and characters from the series “Stranger Things.” In response, the company issued a common statement: it respects intellectual property rights and is already taking measures to strengthen the protection of its products.
This situation highlights the increasing pressure from the US Congress on companies working with artificial intelligence, especially when it concerns Chinese developments. At the same time, there is still no legislative regulation of this sphere in the US.
✔️ Mistral AI introduces a corporate platform for full-cycle AI model training
The new platform, called Forge, is aimed at enterprises that need to develop and improve models on closed data. It covers the entire machine learning process—from preprocessing to SFT, DPO, and fine-tuning via RL. The tools support both traditional dense architectures and MoE-type models, including multimodal inputs.
Training can be conducted on Mistral’s infrastructure or on clients’ own GPU farms. In the case of local clusters, the customer pays only for the software license—Mistral has no access to the raw data. Additionally, Forge includes tools for collecting and generating synthetic data.
The approach is built around the idea of “agent-centricity”: through the platform’s API, autonomous AI agents (built-in Mistral Vibe) can independently plan tasks, initiate training, and select optimal hyperparameters without constant engineer involvement.
✔️ Google AI Studio introduces new pricing tiers for Gemini API and spending limits
Now, Google AI Studio offers Project Spend Caps—a feature to set a strict monthly spending limit for each project’s API usage. Once the limit is reached, it remains active until the user decides to change it.
The revamped pricing system also automatically increases access levels as API usage grows: the more you use, the more quotas you receive without delays. Minimum requirements for upgrading to higher tiers have also been lowered.
Additionally, new features include billing configuration directly within the platform without switching tabs, monitoring of limits (RPM, TPM, RPD), cost analytics per project for the past day, and detailed token and error statistics.
✔️ Manus released a desktop application My Computer
Following the success of Perlpexity, developers introduced a new program—a GPT-powered agent for working directly with files and applications on a PC. It executes commands via terminal: sorts files, renames documents, launches programs, or writes code, and uses a local GPU for training models or inference.
Integration with Gmail and Google Calendar allows automating scenarios such as sending files via email immediately after processing. Each command requires user confirmation—either allowing it once or adding it to a trusted task list. Supported systems include macOS and Windows.
✔️ Rakuten launched a Japanese language model and faced criticism
The company introduced Rakuten AI 3.0—a model designed for processing Japanese language that reportedly surpasses GPT-4 in several tests: it understands cultural and historical nuances of the country and follows user instructions well. It is based on open community models combined with Rakuten’s own data. However, users found a line mentioning Deepseek in a configuration file on Hugging Face, raising suspicions of connections with that company.
Moreover, when answering complex questions, the model tends to adopt pro-Chinese rather than Japanese positions. This sparked criticism: how can the model be considered Japanese-developed given such data? Rakuten has not issued an official comment yet.
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