Amba Kak
@ambakak.bsky.social
I co-direct @AINowInstitute; @Signalapp board. Cover art by my mother https://shoumabanerjeekak.com/about-the-artist/
Reposted by Amba Kak
Bonus bonus: @ainowinstitute.bsky.social's Sarah West and @ambakak.bsky.social in the WSJ today.... "...the federal government is already bailing out the AI industry with regulatory changes and public funds that will protect companies in the event of a private sector pullback."
Opinion | You May Already Be Bailing Out the AI Business
Washington is treating the industry as if it’s too big to fail, even as the market sends lukewarm signals.
www.wsj.com
November 13, 2025 at 2:57 PM
Bonus bonus: @ainowinstitute.bsky.social's Sarah West and @ambakak.bsky.social in the WSJ today.... "...the federal government is already bailing out the AI industry with regulatory changes and public funds that will protect companies in the event of a private sector pullback."
Reposted by Amba Kak
That push reach AGI before 2030 has real-world consequences - to the environment, data privacy, democracy, and labor - that don’t disappear with the promises that AI will someday solve humanity’s hardest problems.
“The future we’re being sold is not inevitable,” Kak said. (3/3)
“The future we’re being sold is not inevitable,” Kak said. (3/3)
July 31, 2025 at 4:03 PM
That push reach AGI before 2030 has real-world consequences - to the environment, data privacy, democracy, and labor - that don’t disappear with the promises that AI will someday solve humanity’s hardest problems.
“The future we’re being sold is not inevitable,” Kak said. (3/3)
“The future we’re being sold is not inevitable,” Kak said. (3/3)
Reposted by Amba Kak
Their recent report, Artificial Power, pushes back on the "too big to fail" myth, arguing that AI firms are pouring billions into compute infrastructure and foundational models, often with government support, despite shaky business models and limited public accountability. (2/3)
July 31, 2025 at 4:03 PM
Their recent report, Artificial Power, pushes back on the "too big to fail" myth, arguing that AI firms are pouring billions into compute infrastructure and foundational models, often with government support, despite shaky business models and limited public accountability. (2/3)