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1. Tech giants take on record debt to finance the AI race
Major tech players like Google, Meta, Microsoft, and Amazon are spending unprecedented amounts to scale up their AI infrastructure.
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2. Why GPT-4o's "personality" can't be recreated
A developer at OpenAI known as "Roon" on X explains why large language models never behave exactly the same way twice.
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3. JanusCoder unites programming and visual design in one multimodal system
JanusCoder is a new AI model that combines code generation and visual output in a single system. The goal is to close the gap between text-based programming and visual representation, so developers can build apps that blend code and visuals without having to switch tools.
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4. Most LLM benchmarks are flawed, casting doubt on AI progress metrics, study finds
A new international study highlights major problems with large language model (LLM) benchmarks, showing that most current evaluation methods have serious flaws.
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5. Anthropic expands its European footprint with new offices in Paris and Munich
Anthropic is ramping up its European operations, opening new offices in Paris and Munich to build on its presence in the region.
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6. OpenAI faces questions over calls for government support
OpenAI CEO Sam Altman says his company isn't asking for government guarantees or bailouts as it pours money into new data centers.
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7. Google's Gemini API now supports file search with custom data
Google has added a File Search Tool to the Gemini API, allowing developers to query their own documents using a vector database.
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8. Moonshot AI’s Kimi K2 Thinking sets new agentic reasoning records in open-source LLMs
Chinese AI company Moonshot AI has unveiled Kimi K2 Thinking, a new open-source language model the company calls the "best open-source thinking model."
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9. Six AI all-stars weigh in on hype, hope, and the reality behind the field
Six of the most influential figures in artificial intelligence took the stage at the Queen Elizabeth Prize 2025 ceremony to weigh in on recent breakthroughs, ongoing challenges, and whether current AI models are really as advanced as they seem.
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