AI in practice Archive

Apr 8, 2026

Elon Musk has updated his lawsuit against OpenAI and Microsoft. He's now asking that any damages, potentially more than $150 billion, go not to him but to OpenAI's charitable foundation. He's also pushing for the removal of CEO Sam Altman from the foundation's board, according to the Wall Street Journal. Musk's lawyer, Marc Toberoff, said Musk "is not seeking a single dollar for himself."

Musk accuses OpenAI of abandoning its charitable mission and defrauding him as a donor by exploiting its nonprofit status. He wants Altman and OpenAI President Greg Brockman to turn over their shares and financial benefits to the foundation. The trial is set to begin in April in Oakland, California.

Musk argues OpenAI betrayed the mission he helped fund. However, early interview notes show he agreed to adding a for-profit unit in 2017 and actively discussed the transition while keeping the nonprofit in place.

OpenAI called the lawsuit on X "a harassment campaign driven by ego, jealousy and a desire to slow down a competitor." The company has also asked the attorneys general of Delaware and California to investigate Musk's behavior. OpenAI is currently valued at $852 billion and planning an IPO.

Comment Source: Wall Street Journal | OpenAI

Matthias Bastian

Apr 7, 2026

Short News

Microsoft's Bing team (yes, really) has released "Harrier," an open-source embedding model. Harrier supports more than 100 languages, offers a 32,000-token context window, and was trained on over two billion examples plus synthetic data from GPT-5. According to the team, Harrier takes the top spot on the multilingual MTEB v2 benchmark and outperforms proprietary models from OpenAI and Amazon.

Rank (Borda)	Model	Zero-shot	Active Params (B)	Total Params (B)	Embedding Dim	Max Tokens
1	harrier-oss-v1-27b	78%	25.6	27.0	5376	131072
2	KaLM-Embedding-Gemma3-12B-2511	73%	10.8	11.8	3840	32768
3	llama-embed-nemotron-8b	99%	7.0	7.5	4096	32768
4	Qwen3-Embedding-8B	99%	6.9	7.6	4096	32768
5	gemini-embedding-001	99%			3072	2048
6	Qwen3-Embedding-4B	99%	3.6	4.0	2560	32768
7	Octen-Embedding-8B	99%	6.9	7.6	4096	32768
8	F2LLM-v2-14B	88%	13.2	14.0	5120	40960
9	F2LLM-v2-8B	88%	6.9	7.6	4096	40960
10	harrier-oss-v1-0.6b	78%	0.440	0.596	1024	32768

Alongside the full 27-billion-parameter model, the team released two smaller variants—0.6B and 270M—designed to run on less powerful hardware. All three models are available on Hugging Face under the MIT license. Going forward, the team plans to integrate the technology into Bing and into new grounding services for AI agents.

Embedding models handle the searching, retrieving, and organizing of information AI systems need for accurate answers. According to Microsoft, they're becoming increasingly critical as AI agents independently take on more complex, multi-step tasks.

Comment Source: Microsoft Bing Blog

Maximilian Schreiner

Apr 7, 2026

Short News

Jeff Bezos' startup Project Prometheus has hired Kyle Kosic, a co-founder of Elon Musk's xAI who most recently worked at OpenAI, the Financial Times reports. Kosic led the infrastructure behind xAI's Colossus supercomputer and will continue working on AI infrastructure at Prometheus.

The startup, led by Bezos and former Google executive Vikram Bajaj, is building AI systems designed to understand the physical world with a focus on tasks in areas like engine design and engineering. Prometheus has already hired hundreds of employees across San Francisco, London, and Zurich. According to the FT, Bezos and Bajaj are looking to raise tens of billions of dollars for a permanent investment vehicle that would acquire stakes in companies across industries like aerospace and architecture.

Comment Source: FT

Maximilian Schreiner

Apr 7, 2026

Short News

OpenAI, Anthropic, and Google have started working together to combat the unauthorized copying of their AI models by Chinese competitors, according to Bloomberg. The three companies are sharing information through the "Frontier Model Forum," founded in 2023, to detect so-called adversarial distillation. In distillation, the outputs of an existing AI model are used to train a cheaper copycat model. One of the first examples was Stanford's Alpaca model, which demonstrated the feasibility of the approach, but the practice has since become a real problem for US companies.

US authorities estimate that adversarial distillation costs American AI labs billions of dollars in lost revenue each year, Bloomberg reports. OpenAI had already warned Congress in February that Deepseek was using increasingly sophisticated methods to extract data from US models. Anthropic identified Deepseek, Moonshot, and Minimax as actors involved in the practice. The collaboration mirrors how the cybersecurity industry operates, where companies routinely share attack data with each other.

Comment Source: Bloomberg

Maximilian Schreiner

Apr 7, 2026

Short News

Meta is planning to release versions of its new AI models as open source, according to Axios. These would be the first models developed under the leadership of Alexandr Wang, who joined Meta in 2025 as part of a nearly $15 billion deal with Scale AI.

Unlike its approach with the Llama models, though, Meta plans to keep some components proprietary and review safety risks before releasing anything. The largest models won't be made publicly available either.

According to the report, Wang sees Meta as a counterweight to Anthropic and OpenAI, which focus more heavily on government and enterprise customers. Meta's strategy instead centers on consumer reach through WhatsApp, Facebook, and Instagram. Axios's sources say Meta already knows the new models won't match the competition in every area.

Comment Source: Axios

Matthias Bastian

Apr 7, 2026

AI in practice

Meta employees compete for token consumption on an internal AI leaderboard

At Meta, employees compete for titles like “Token Legend,” “Model Connoisseur,” and “Cache Wizard” on an internal leaderboard that ranks AI token consumption. But burning through more tokens doesn’t automatically mean getting more done.

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Maximilian Schreiner

Apr 7, 2026

Short News

Anthropic has signed a deal with Google and Broadcom for multiple gigawatts of TPU computing capacity, set to come online starting in 2027. Most of the infrastructure will be built in the United States. The company points to surging demand as the reason for the expansion: its annualized revenue rate now exceeds $30 billion, up from roughly $9 billion at the end of 2025. The number of enterprise customers generating more than $1 million in annual revenue has doubled since February, surpassing 1,000.

Anthropic trains Claude on a mix of hardware: Amazon's AWS Trainium, Google's TPUs, and Nvidia's GPUs. This makes Claude the only one of the three major AI models available across all three major cloud platforms (AWS, Google Cloud, and Microsoft Azure). That said, Anthropic notes that Amazon remains its most important cloud partner.

Comment Source: Anthropic

Matthias Bastian

Apr 6, 2026

AI in practice

Sycophantic AI chatbots can break even ideal rational thinkers, researchers formally prove

A new study by researchers from MIT and the University of Washington shows that even perfectly rational users can be drawn into dangerous delusional spirals by flattering AI chatbots. Fact-checking bots and educated users don’t fully solve the problem.

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Matthias Bastian

Apr 6, 2026

Short News

Telehealth startup Medvi, which sells GLP-1 weight loss drugs, was featured in the New York Times as a shining example of AI-powered efficiency. The company reportedly hit $1.8 billion in revenue with just two employees, using AI primarily for marketing.

What the NYT didn't mention, though, was that Medvi apparently also used AI to create ethically questionable advertising, fake doctor profiles on social media, fabricated videos, and generated before-and-after comparisons. In short, exactly the kind of misuse AI critics have been warning about. The following video breaks it down, along with the original report from Futurism.

Medvi was initially celebrated on social media for its AI efficiency but is now being cited as a cautionary tale. Still, the case shows that AI tools can let a company scale with minimal staff, even if, in this case, the methods were ethically questionable and at least bordering on fraud. The bigger question is whether similar efficiency gains are possible for legitimate products with transparent marketing.

Comment Source: NYT

Matthias Bastian

Apr 6, 2026

Short News

OpenAI's Head of Business Finance Chengpeng Mou shared some numbers on ChatGPT's health usage. US users send about two million messages per week on health insurance topics alone, with roughly 600,000 of those coming from people in "hospital deserts," areas where the nearest hospital is at least a 30-minute drive away. Seven out of ten health queries come in outside regular office hours. All figures are based on anonymized US usage data.

Mou chimed in after Simon Smith posted on X about his family using ChatGPT to navigate his father's illness. They pooled information from different doctors and nurses into a shared ChatGPT project to make better decisions. According to Mou, stories like this aren't "edge cases."

OpenAI has been steadily pushing into healthcare, recently rolling out a dedicated health section inside ChatGPT and working to get its chatbot into more US hospitals.

Comment Source: Chengpeng via X