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Threads passed 100 million downloads in 5 days. Could this be an inflection point in text based social media or is this a curiosity that might run into path of network effects and social media? More in the latest Substack: https://t.co/aa0fOpnVJL
An update on the number of AI related mentions on earnings calls and other transcripts of publicly traded companies: {Data from TA<Go>}
*No shock here, it's gone vertical
Could we be on the verge of a tech-led revolution in how sport is televised and run? This week's Substack on the potentially enormous disruption in both TV and sport: https://t.co/NxBfgerqQ1
Novel #dataviz can be polarizing. Here's a recent one from @nytgraphics. Love it or loathe it? Why?
I share my view—sparked by an email exchange with @jdschramm—in this post: https://t.co/x8kl4exxFT
Fascinating that Samsung are investing in a new chip development plant in Japan. Shows the contours of the geopolitics of semiconductors: https://t.co/lGCbpoDTcw
"Will Generative AI Make You More Productive at Work? Yes, But Only If You’re Not Already Great at Your Job." New study from @StanfordHAI https://t.co/zxcRsjRUeB
That was probably the most impressive Google I/O I can remember in terms of delivering product changes with real world impact. Stock market seems to agree as well. The incremental shifts that AI has delivered in Mail, Search, Translate etc now set to be much more transformative.
Interesting from @McKinsey on the continuing challenges of recruiting top tech talent. There's even a shortage in the Bay Area. Can't help but think it'll get even greater if there isn't a pivot towards relevant skills in education systems: https://t.co/7Ms1CRDaFO
Fascinating Atlantic piece on why generative AI is a problem for China. Training data is an issue in free information democracies. It's surely an even bigger problem in an atmosphere of extreme state censorship: https://t.co/xEyVJoF6rf
Can imagine that the UK government will be chuffed with this Stanford headline: "Conservative British Government Is Seizing the Day on AI While the U.S. Dawdles" https://t.co/9yHN3U10QD
Buzzfeed was once regarded as the way to do news online. But it reached the end of the road. Where next for online news? How might AI change personalisation & monetisation? Is there a future for local news. All of this discussed in the Substack this week: https://t.co/uTspLrdyWe
The founder of Open AI says we might have already reached the end of the road for AI models that rely on massive datasets. The last Artemon Substack talks about the potential scarcity of training data for these systems: https://t.co/35qPpHEMSf
Strong pushback from the Asia Internet Coalition on the Indian “fact-checking” law. Question is whether that will make government double down: https://t.co/K7r9HchoJH