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🔮 AI & the future of media
Watch now | With Nick Thompson (CEO, The Atlantic)
5 hrs ago
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Azeem Azhar
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🔮 AI & the future of media
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53:24
🟣 EV Daily: OpenAI agents; woke AI; 2nm in America; hegemony's end; S&P AI warnings
Five things to know today + a glimpse ahead.
13 hrs ago
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Azeem Azhar
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🟣 EV Daily: OpenAI agents; woke AI; 2nm in America; hegemony's end; S&P AI warnings
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🟣 EV Daily: AI's inner monologue goes public
Five things to know today + highlights from my conversations
Jul 17
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Azeem Azhar
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🟣 EV Daily: AI's inner monologue goes public
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🟣 EV Daily: US doubles down on data and energy
Five things to know today + future of work.
Jul 16
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Azeem Azhar
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🟣 EV Daily: US doubles down on data and energy
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🔮 Kimi K2 is the model that should worry Silicon Valley
What Moonshot’s new model tells us about China’s AI game
Jul 15
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Azeem Azhar
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Nathan Warren
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🔮 Kimi K2 is the model that should worry Silicon Valley
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🟣 EV Daily: The Pentagon goes all-in on AI
Five things to know today + tool of the week.
Jul 15
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Azeem Azhar
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🟣 EV Daily: The Pentagon goes all-in on AI
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🟣 EV Daily: Two Moonshots — one hit, one miss
Five things to know today + data of the week.
Jul 14
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Azeem Azhar
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🟣 EV Daily: Two Moonshots — one hit, one miss
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🔮 Sunday edition #532: The speed trap in AI, Grok’s ecosystem play, and truth by citation++
Hi it’s Azeem,
Jul 13
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Azeem Azhar
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Nathan Warren
35
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🔮 Sunday edition #532: The speed trap in AI, Grok’s ecosystem play, and truth by citation++
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🔮 Task first, pay later: AI’s twin routes for wages and work
Routine automation trims headcount; complex automation trims salaries
Jul 12
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Azeem Azhar
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🔮 Task first, pay later: AI’s twin routes for wages and work
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🟣 EV Daily: Nvidia's $4 trillion cliffhanger?
Five things to know today + a glimpse ahead.
Jul 11
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Azeem Azhar
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🟣 EV Daily: Nvidia's $4 trillion cliffhanger?
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[Correction] 🔮 How to use AI to reclaim deep work
The Eisenhower Matrix, automated.
Jul 10
57
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[Correction] 🔮 How to use AI to reclaim deep work
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🔮 How to use AI to reclaim deep work
The Eisenhower Matrix, automated.
Jul 10
35
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🔮 How to use AI to reclaim deep work
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