1. Google Agentspace: Bringing AI agents and AI-powered search to enterprises
Google Agentspace is a new tool that unlocks enterprise expertise for employees by combining Gemini's advanced reasoning, Google-quality search, and enterprise data. It allows employees to interact with enterprise data, discover information across the enterprise, and automate business functions.
The platform offers new ways to engage with enterprise data, provides a single, company-branded search agent, and allows employees to build and tune their own expert agents. Google Agentspace also offers multi-language support, ensuring security for all employees. The tool is expected to revolutionize the way businesses operate and enhance employee productivity.
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2. Prime Video’s new AI Topics feature makes it easier to find something to watch
Amazon
Prime Video is testing AI-powered functionality called AI Topics to help users find relevant shows and movies quickly. AI Topics uses AI to create and recommend content groupings based on users' interests and viewing history.
It is currently in limited beta and will roll out to select living room devices in the U.S., including Fire TV, in the coming weeks.
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3. Waymo’s robotaxis pass the first responder test
Justin Sullivan/Getty Images
Waymo's driverless vehicles can detect emergency vehicles, respond to traffic cops' hand signals, and be disabled manually. An independent review by German tech inspection firm Tüv Süd found Waymo's first responder protocols meet industry standards.
The company also releases a guide for first responders and hosts training sessions for police and fire officials. Waymo is among other companies seeking Tüv Süd's approval.
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4. New LLM optimization technique slashes memory costs up to 75%
Universal transformer memory (Sakana AI)
Sakana AI has developed a technique called "universal transformer memory" to optimize LLMs and Transformer-based models. This technique uses neural networks to optimize LLMs by keeping important information and discarding redundant details from their context.
Current models support long context windows with hundreds of thousands of tokens, which can lead to higher computing costs and slower performance. The technique optimizes prompts by removing unnecessary tokens while keeping important information, reducing costs and increasing speed. The technique is trained separately from the LLM and combined with the pre-trained model at inference time.
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5. Clio: A system for privacy-preserving insights into real-world AI use
Anthropic
AI models are increasingly popular, but understanding their usage is crucial for safety reasons. The sheer diversity of AI models makes it difficult to monitor their use and maintain user privacy. Anthropic's Claude models are not trained on user conversations by default, so they use an automated analysis tool called "Clio" to provide privacy-preserving insights into real-world language model use.
Clio distills conversations into abstracted, understandable topic clusters, preserving user privacy by anonymizing and aggregated data, and only visible to higher-level clusters. This approach helps improve safety measures and provides insights into the day-to-day uses of claude.ai.
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Everyday investors net +$60M in proceeds from the sale of exclusive assets
From CEOs to shop owners, investors in Masterworks’ art offerings have received more than +$60,000,000 in total net proceeds to date (including principal) across their 23 exits.*
Surprised that so many people are interested in art investing? Bank of America recently found 83% of wealthy American investors 43 and under already collect, or want to. Normally, only the top 1% of investors would be able to diversify with art like Picassos and Banksys. But with Masterworks, you can easily diversify into this asset class without needing millions, or art expertise.
With a team that’s been working since 2019, Masterworks investors have realized representative annualized net returns like +17.6%, +17.8%, and +21.5% (among assets held for longer than one year).