Today’s AI convo via Spaces should be interesting, especially given the lineup: -Elon
-Israel’s prime minister
-OpenAI’s president and cofounder
-The president of the group behind the infamous open letter warning about AI published back in March
BIG TECH
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Major AI Leaders Convene for Spaces Discussion on AI Safety
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NVIDIA partners with Anyscale to advance Ray LLM development
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Today at #RaySummit, NVIDIA and @anyscalecompute announced they are partnering to bring NVIDIA AI to Ray open source and the Anyscale Platform, helping developers build, tune, train and scale production #LLMs. Learn more. https://
nvda.ws/3PG8blc -
Charles Simonyi assumes greater role at Microsoft after Panay departure
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Charles Simonyi, who led the development of Word and Excel, is 75 years old. in 2020 he said he was still going to work at Microsoft. now he's getting more responsibility as part of Panos Panay's departure
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Stability AI Founder Discusses Activating Humanity’s Potential Through AI
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We're still buzzing after our incredible week at #CogX. We'd like to thank our speakers, starting with our founder @EMostaque who spoke about activating humanity's potential through AI on the main stage at The O2. Thank you all for being part of it! #stabilityai #AIcommunity
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Genius Makers: Essential Book on AI History and Key Players
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It’s the best book to understand how we’ve arrived at the point we are with AI. @CadeMetz does a masterful job of storytelling, and detailing the key players who are shaping the future. Waiting for Genius Makers 2…
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AI Impact on Publishing: Industry Protection Strategies
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How AI impacts the publishing sector, and what needs to be done to protect that industry. Publishing has spent over 30 years grappling with tech upheavals, and now #AI is here – for both good and ill. What are the key issues? #OpenAI #Publishing #research
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Intel Innovation Conference: Generative AI and Secure Computing Sessions
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Calling all Geeks! Excited for the upcoming Intel Innovation, by developers and for developers! Here are the sessions I am most excited about:
Keynote with Pat and Greg
Generative AI in real world application
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From Theory to Practice: Algorithm Development for Google Maps
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Making the leap from pure research to real-world application can be a transformative experience. When developing an algorithm for Google Maps, it means moving from theoretical discussions to encountering and solving real-world challenges.
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Google DeepMind predicts travel time with machine learning
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The goal? Developing a system that accurately predicts your estimated travel time from point A to point B. If you've ever ordered food online or requested a ride through an app, you've likely interacted with a version of this system developed at Google DeepMind.
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How PetarV Built AI for Google Maps with DeepMind
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@PetarV_93 on How He Built AI for Google Maps with @GoogleDeepMind ! https://
youtu.be/GwbUKic2Hj8