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US judge Rita Lin said that the US government had not provided evidence to support designating the company Anthropic as a security risk and banning its technologies in the federal government. The dispute concerns the refusal by Anthropic to deploy AI for surveillance and lethal decision-making for the Department of Defense.
Over a million users have clicked the “Seems like AI slop” button on the social network LinkedIn since its launch on 30 July 2026. According to the company LinkedIn, the visibility of content classified as AI slop fell by 40 percent over a few weeks.
New: The button was launched specifically on 30 July 2026; Over a million users have already clicked the button; The visibility of detected AI content fell by 40 percent; LinkedIn removed the old feature for enhancing posts with AI; The platform is introducing improved classifiers for detecting AI-generated content
Andrew Ho, who left OpenAI after eight months, launched a startup to create specialized training data for bioinformatics and laboratory work. In his view, targeted data collection will require over 100 billion dollars because scaling models alone will not solve the generalization problem.
GitHub Copilot app now supports stacked sessions and stacked pull requests—chains of successive tasks and PRs within a repository. GitHub demonstrated the feature using the example of modernizing a ten-year-old app with Claude Opus 4.8 and GPT-5.5.
Kimi K3 (2.8 trillion parameters) from Moonshot AI has also been available on the Amazon Bedrock platform since 18 September 2026, with support for prompt caching and AWS data protection. The model was released in July 2026 as the first open model in the 3 trillion parameter class.
New: Kimi K3 is now available on Amazon Bedrock as a new distribution channel; The model supports prompt caching on Bedrock; Data in AWS Bedrock is protected by the AWS data boundary without being shared with the provider; The Bedrock deployment optimizes the model for long coding and knowledge workflows
AWS described a solution for inference meta-monitoring of models on Amazon SageMaker AI – a layer above production ML pipelines that uses Amazon Quick, Athena, MLflow and Evidently AI to track prediction quality and detect data drift.
Amazon Bedrock introduced Advanced Prompt Optimization – a tool that automatically optimizes prompts for up to 5 models at once and compares quality, latency (TTFT) and price to simplify migration to new models.
According to CEO Mark Zuckerberg, Meta uses LLMs to develop new apps faster (Forum, Seller, Instagram Instants and others) and is preparing more products. The app Threads already has 500 million monthly users.
British AI neocloud company Nscale is buying the startup Anyscale, the creator of an AI scaling platform built on the Ray framework, for 1.65 billion dollars according to a Bloomberg report. Anyscale will retain its own brand, and approximately 200 employees will move to Nscale.
A blog on Hugging Face compares the economics of enterprise GPUs to airline fleets: costs accrue continuously, while revenue is generated only during computation. The difference between companies comes down to hardware utilization, not the amount of hardware – even expensive clusters often remain unused outside peak periods.
According to a study by Christian & Timbers, demand for so-called forward-deployed engineers (specialists in enterprise AI deployment) will increase by 2 100 % this year, while there are only about 2 000 elite experts capable of demonstrating a return on investment in the USA. OpenAI and Anthropic are therefore establishing their own deployment…
Dili, a company focused on AI compliance tools for US infrastructure projects, raised 15 million dollars in a Series A round led by Khosla Ventures. This brings the total amount raised by the company to 21.7 million dollars.
The European Commission has officially launched a competition to build up to seven AI gigafactories with a budget of 10 billion euros in public funding and over 20 billion euros in private investment. Czechia is also bidding for one with a project in Zbraslav near Prague and partner Multiverse Computing.
New: Specific location of the Czech project: Zbraslav (Prague); Cost of the Czech project: 100 billion Kč; Investment by partner Multiverse Computing: up to 50 million EUR; Planned start of construction: 2027; Capacity of the centres: 100 thousand AI chips per centre
The European Commission has launched a tender for the construction of up to seven large data centers for artificial intelligence (known as gigafactories) in the EU, compared with the original plan for just five. Czechia is also interested in one of them.
Shortly after mandatory labeling of AI content under Article 50 AI Act was introduced, tools emerged to remove it. According to the source, Grok from Elon Musk ignores labeling, which may paradoxically favor models beyond the reach of EU regulation, such as Chinese models.
New: Tools exist that can remove or cover up mandatory AI labels; Labeling of AI content works through invisible characters and non-random word selection; AI Act regulation may become ineffective because of circumvention techniques; Grok from Elon Musk ignores mandatory labeling; The regulation may paradoxically favor Chinese models outside the scope of EU rules
The government has presented the Digitální Česko 2.0 strategy, which aims to enable citizens to handle administrative matters through a mobile app by 2030 and expand the use of AI in the work of government offices. You can find more details in the source article.
On the earnings call for the 2nd quarter of 2026, Meta announced preparations for personal AI agents for the general public and the expansion of its business offering to include APIs, business agents and sales of computing power. Capital expenditures for 2026 are expected to total 130-145 billion dollars.
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