Yahoo in 2002 still had the larger audience and more revenue. The comparison actually supports OpenAI more than intended.
INVESTMENT
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Media Distribution Moat Advantages Over Technical Founders
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The media plus agents point is underexplored in most of these takes. The distribution moat is real and the people who already have audiences are quietly better positioned than most technical founders right now.
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EDINET-Bench: LLMs on Japanese Financial Statements
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EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements https://
arxiv.org/abs/2506.08762 https://
openreview.net/forum?id=Dxns0
cj15A
… #ICLR2026 -
India’s Top 10 AI Startups Enter Global Acceleration Program
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Meet the 10 startups of Cohort II—taking Indian AI innovation to the world. As part of Cohort II of IndiaAI Startup Global Acceleration Program, these 10 startups have been selected, driving real-world impact. Startup in Spotlight: Awiros (IT Sector) Awiros is redefining how
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Claude Opus 4.7 Token Usage Increases Effective Pricing Significantly
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I upgraded my Claude token counter tool to compare different models and Opus 4.7 does appear to use 1.46x times the tokens for text and up to 3x the tokens for images – it's priced the same as Opus 4.6 on a per-token basis so this is actually a pretty big price bump
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Non-Totalitarian Palantir Alternative: Who’s Building It?
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Startup idea: a non-totalitarian version of Palantir. Who’s building this?
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Sakana AI’s EDINET-Bench Accepted to ICLR2026
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Sakana AI's Japanese financial benchmark "EDINET-Bench," released last year, has been accepted to the international conference #ICLR2026. Blog: https://
sakana.ai/edinet-bench/ EDINET-Bench is a benchmark for evaluating LLMs across three tasks—accounting fraud detection, earnings -
API costs declining increase value for AI applications
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Totally, and now that the API costs are coming way down they are even more valuable.
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Genki Robotics Accelerates Humanoid Integration With a16z AMD Support
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Genki #Robotics Aims to Fast-Track Humanoid Integration, Backed by a16z and AMD
— Ronald van Loon (@Ronald_vanLoon) 19 avril 2026
by @TheHumanoidHub
#Robots #MachineLearning #ArtificialIntelligence #DeepLearning #ML pic.twitter.com/bHrDzx5eK4Genki #Robotics Aims to Fast-Track Humanoid Integration, Backed by a16z and AMD
by @TheHumanoidHub #Robots #MachineLearning #ArtificialIntelligence #DeepLearning #ML -
Quality Challenge: Why Most Proposals Still Fall Short
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u had a good topic! even at our scale we are still limited by the # of good proposals. most suck.