Today's AI technology is even more ground breaking than the 2000's revolution. A future strongly dominated by a single actor in business domain will likely bring similar gigantic billion dollars antitrust actions. And… what emerged from the ashes of the 2000's battles? 6/8
@thom_wolf
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OpenAI Microsoft Integration Could Achieve Market Dominance
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Now let's move to today. We'll replace IBM with the Microsoft of today (the leading enterprise platform) and the early Microsoft with OpenAI (the closed source AI model provider) OAI models smartly integrated in Microsoft suit could reach a similar level of market dominance 4/8
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Microsoft Dominance and Antitrust Lawsuits: Historical Market Lessons
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A good exemple is the recent alliance with Bain for extending everywhere in large companies Now back to 2000 what did this dominance led to: you probably remember it as several of the largest anti-trust lawsuits ever reaching several billion $ at that time for Microsoft 5/8
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Microsoft’s Early 2000s Battle Against Open Source Movement
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let's go back to early 2000 – Microsoft was at that time the archenemy of the free and open source movements and the fight between OSS and private software was going strong 2/8
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AI industry faces massive antitrust legal spending surge
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Ok friends, it's weekend, we've some time for us. So let me tell you about a possible future for AI where the largest AI spendings, in billions of dollars, in 2-3 years would be on… … antitrust legal fees A quick 1/8
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10B Parameter Models Vastly Underestimated in Capacity
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It's increasingly clear we've severely underestimated how much you can pack in a 10B parameters model
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Julien highlights AWS Cloud partnership
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Great words from Julien on our partnership with @awscloud
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Power Concentration and Opacity Trends in AI Growth
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concentration of power and increase in opacity is one of the most worrying trend of the past 2 years in AI
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Hugging Face improves hub discoverability with enhanced search
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fixing the pain point of discoverability on the 🤗hub (models/datasets/spaces) at https://t.co/lls8GHC94I https://t.co/jBj3ujVcmI
— Thomas Wolf (@Thom_Wolf) 20 février 2023fixing the pain point of discoverability on the hub (models/datasets/spaces) at http://
hf.co/search