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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 23, 2026
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Read full article about: Anthropic accuses Deepseek, Moonshot, and MiniMax of stealing Claude's AI data through 16 million queries

Anthropic says it has caught Chinese AI labs Deepseek, Moonshot, and MiniMax running large-scale distillation attacks on Claude, a technique where a weaker model learns from the output of a stronger one. Over 24,000 fake accounts fired off more than 16 million queries targeting Claude's reasoning, programming, and tool usage capabilities. The labs used proxy services to bypass China's access restrictions.

Lab Requests Targets
Deepseek 150,000+ Extracting reasoning steps, reward model data for reinforcement learning, censorship-compliant answers on politically sensitive topics
Moonshot AI 3.4 million+ Agent-based reasoning, tool usage, programming, data analysis, computer vision, reconstructing Claude's thought processes
MiniMax 13 million+ Agent-based programming, tool usage and orchestration; pivoted to new Claude model within 24 hours

Deepseek specifically targeted Claude's reasoning chain, extracting thought processes and censorship-compliant answers on sensitive topics. MiniMax ran the biggest campaign by far with over 13 million requests. When Anthropic shipped a new model, MiniMax pivoted within 24 hours and redirected nearly half its traffic to the updated system, Anthropic says.

OpenAI and Google report similar attempts from Chinese labs. Anthropic is calling on the industry and policymakers to mount a coordinated response.

Comment Source: Anthropic
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 23, 2026
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Read full article about: OpenAI wants to retire the AI coding benchmark that everyone has been competing on

OpenAI says the SWE-bench Verified programming benchmark has lost its value as a meaningful measure of AI coding ability. The company points to two main problems: at least 59.4 percent of the benchmark's tasks are flawed, rejecting correct solutions because they enforce specific implementation details or check functions not described in the task.

Many tasks and solutions have also leaked into leading models' training data. OpenAI reports that GPT-5.2, Claude Opus 4.5, and Gemini 3 Flash Preview could reproduce some original fixes from memory, meaning benchmark progress increasingly reflects what a model has seen, not how well it codes. OpenAI recommends SWE-bench Pro instead and is building its own non-public tests.

There's a possible strategic angle here: a "contaminated" benchmark can make rivals—especially open-source models—look better and skew rankings. SWE-bench Verified was long the gold standard for AI coding evaluation, with OpenAI, Anthropic, Google, and many Chinese open-weight models competing for small leads. AI benchmarks can provide useful signal, but their real-world value remains limited.

Comment Source: OpenAI
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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 23, 2026
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Read full article about: OpenAI partners with major consulting firms to push Frontier agent platform

OpenAI has launched a new partner program called "Frontier Alliances." The initiative aims to bring the company's recently introduced Frontier platform to large enterprise customers. Frontier lets businesses build AI agents that handle tasks independently, from processing customer inquiries and pulling CRM data to verifying policies. Details about the platform remain scarce at this point. For now, Frontier is only available to a select group of customers. For now, Frontier is only available to a select group of customers.

To get Frontier into major corporations, OpenAI has signed multi-year partnerships with Boston Consulting Group (BCG), McKinsey, Accenture, and Capgemini. BCG and McKinsey are taking on strategy, organizational restructuring, and rollout planning, while Accenture and Capgemini handle the technical side, integrating Frontier with existing systems and data infrastructure. All four partners are standing up dedicated teams that will be certified in OpenAI's technology.

Comment Source: OpenAI
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 23, 2026
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Read full article about: Google wants to provide free Gemini AI training to all 6 million U.S. educators

Google for Education and the educational organization ISTE+ASCD are launching a joint initiative to provide free AI training to all six million teachers in the US. Google says it's the largest program of its kind. The courses cover how to use Google's AI products Gemini and NotebookLM, with the goal of helping teachers and their more than 74 million students use AI safely in the classroom. The modules are designed to be short and practical, with concrete examples teachers can apply directly to their lessons. The initiative is set to launch in the coming months. Those interested can sign up via a Google form.

There's a clear strategic play behind the effort, of course. Getting your products embedded in the education system early means getting young people comfortable with your ecosystem while they're still in school and keeping them there well into their professional lives. Competitors like OpenAI and Anthropic are running similar playbooks, though they tend to focus on university partnerships and enticing offers for students, such as free or discounted access to their AI models.

Comment Source: Google
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Maximilian Schreiner
Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner
Feb 22, 2026
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Hollywood's MPA calls Bytedance's Seedance 2.0 a machine built for "systemic infringement"

Hollywood is done asking nicely. First Netflix, then Warner Bros., Disney, Paramount, and Sony. Now the MPA itself. Hollywood is closing ranks against Bytedance’s Seedance 2.0, arguing the AI video generator was built on stolen content. The API launch might already be on hold.

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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Feb 22, 2026
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Read full article about: ChatGPT and Gemini voice bots are easy to trick into spreading falsehoods

Newsguard tested whether ChatGPT Voice (OpenAI), Gemini Live (Google), and Alexa+ (Amazon) repeat false claims in realistic-sounding audio, the kind easily shared on social media to spread disinformation.

Researchers tested 20 false claims across health, US politics, world news, and foreign disinformation, each with a neutral question, a leading question, and a malicious prompt to write a radio script with the false information. ChatGPT repeated falsehoods 22 percent of the time, Gemini 23 percent. With malicious prompts, those numbers jumped to 50 and 45 percent, respectively.

Bar chart showing fail rates for three audio bots by prompt type. Neutral prompts (red): ChatGPT and Gemini both at 5 percent. Leading prompts (blue): ChatGPT at 10 percent, Gemini at 20 percent. Malicious prompts (brown): ChatGPT at 50 percent, Gemini at 45 percent. Alexa+ stayed at 0 percent across all three prompt types.
Fail rates for ChatGPT, Gemini, and Alexa+ audio bots by prompt type. Malicious prompts spiked ChatGPT to 50 percent and Gemini to 45 percent. Alexa+ stayed at 0 percent across all three types. | Image: Newsguard

Amazon's Alexa+ was the clear outlier. It rejected every single false claim. Amazon Vice President Leila Rouhi says Alexa+ pulls from trusted news sources like AP and Reuters. OpenAI declined to comment, and Google didn't respond to two requests for comment. Full details on the methodology are available on Newsguardtech.com.

Comment Source: Newsguard
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