AI & Machine Learning
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More on Bing, particularly the Sydney personality undergirding it: interacting with Sydney has made me completely rethink what conversational AI is important for.
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The first obvious casualty of large language models is homework: the real training for everyone, though, and the best way to leverage AI, will be in verifying and editing information.
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Microsoft Build, Copilot Platforms, A Note on Recall
The most important theme at Microsoft Build was Microsoft’s attempt to build platforms on top of AI; the scope of their success, though, may already be defined.
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Windows Returns
Microsoft held its most compelling Windows’ event in years, because Windows is no longer the center of the company.
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Google I/O, Google’s Strengths and Weaknesses, AI Search
Google’s I/O had impressive parts and less impressive ones, depending on how much innovation was required. The most important news, though, was the intense focus on transforming search.
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OpenAI’s Spring Event, GPT-4o, OpenAI and Apple
OpenAI launched GPT-4o, and the killer feature is speed. Then, news of an OpenAI partnership with Apple raise questions about the strategic priorities of both companies, as well as Google.
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An Interview with Matthew Belloni About Hollywood’s Streaming Struggles
An interview with Matthew Belloni about his career, Puck’s business model, and all of the mistakes Hollywood made over the last decade. Then, how sports, tech, and the future will impact the industry.
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TSMC Earnings, TSMC’s Pricing Mistake, Intel v. TSMC
TSMC earnings and Taiwan’s margin impact, why the company left money on the table (which might have cost the chairman his job), and Intel’s relative risk-taking.
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Apple Earnings, Wearables and Vision Pro, AI Leverage
Apple’s earnings highlighted the company’s product maturity; will AI drive an upgrade cycle? Plus, why Wearables are slumping, and why Vision Pro isn’t moving the needle.
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An Interview with Databricks CEO Ali Ghodsi About Building Enterprise AI
An interview with Databricks co-founder and CEO Ali Ghodsi about founding Databricks, managing large data, and creating AI for enterprise.





