Author: Ai

  • AMD Unveils Helios AI Rack System to Challenge Nvidia’s Market Dominance

    AMD introduced its new AI rack system, Helios, at the company’s Advancing AI conference in San Francisco, positioning it as a direct challenge to rival Nvidia in the market for high-performance computing infrastructure. CEO Dr. Lisa Su described Helios as the industry’s highest-performing AI rack, built to train and run demanding frontier AI models at…

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  • Anthropic Updates Claude Voice Mode, Launches Opus 5 With Fewer Restrictions

    Anthropic has announced that Claude’s voice mode now lets users choose between its Opus, Sonnet, and Haiku models, defaulting to the fastest version of whichever model was last used in text chat. The update aims to support longer, more complex conversations, including communication feedback and brainstorming, and allows voice mode to interact with apps like…

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  • Anthropic’s Opus 5 surprise

    Read Online | Sign Up | Advertise Good morning, {{ first_name | AI enthusiasts }}, and welcome to the 5,515 new readers who joined us yesterday. Anthropic just launched a new flagship model… in a way no one expected. The new Opus 5 is here with eval scores better than 4.8, as we all expected.…

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  • How AI is shortening drug discovery timelines in China

    Insilico Medicine has reduced the time needed to produce some drug development candidates to about one year by combining artificial intelligence with laboratory research in China, according to CEO Alex Zhavoronkov. The Hong Kong-listed company’s fastest programme reached candidate nomination in nine months, while its typical timeline is about 13 months, Zhavoronkov said. He said…

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  • America’s AI Investment Boom Is Reshaping the Economy

    America’s AI Investment Boom Is Reshaping the Economy Artificial intelligence has become one of the defining investment stories in the United States, and the numbers continue to grow. Microsoft, Meta, Amazon and Alphabet are collectively committing hundreds of billions of dollars to AI infrastructure, while demand for advanced chips has turned NVIDIA into one of…

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  • Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction

    Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performance by supervising the contents of each belief state.. As task horizons grow, LLM contexts can’t scale forever. Self-summarization enables concise, interpretable contexts, but at a significant performance cost, especially for human…

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  • Musk Updates Progress of Tesla’s Optimus Humanoid Robot, Warns of Initial ‘Long and Flat’ Production Ramp

    Insider Brief Tesla is building a dedicated Optimus production line in Fremont, Calif., with initial output expected later this year, though CEO Elon Musk said scaling the humanoid robot will be harder than any manufacturing program the company has attempted. The company is developing Optimus to perform generalized tasks from spoken instructions or demonstrations, using…

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  • Google’s Gemini Surpasses 950 Million Monthly Users as AI Assistant Race Intensifies

    Google reported that its AI assistant Gemini has surpassed 950 million monthly active users, tripling its user base over the past year, according to the company’s Q2 2026 earnings call. The milestone follows Gemini crossing 750 million monthly users in February and positions it closer to rival OpenAI’s ChatGPT, which reached 1 billion monthly users…

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  • Meta’s New AI Ad Draws Scrutiny Over Choice of David Bowie Track

    Meta released a new advertisement promoting an optimistic vision of AI’s impact on society, featuring imagery of people connecting, celebrating, and experiencing joyful moments, set to David Bowie’s song “Five Years.” CEO Mark Zuckerberg shared the video, stating that Meta has always aimed to give people the power to connect and shape their world, and…

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  • The Hidden Risks Behind AI Token Supply Management

    Enterprises have started treating tokens the way they treat capital, tracking consumption, routing workloads to the cheapest model that will do the job, and holding teams accountable for what they spend. That discipline solves a cost problem. It does not solve a very different problem hiding underneath it. The same AI systems burning through compute…

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