AI
Matt Ross and
AI
Second, TA teaches us to never overlook the simplest solutions. There are a lot of complicated methods to automatically find augmentation policies, but the simplest method was so-far overlooked , even though it performs comparably or better
Devansh • TrivialAugment: The next evolution in Data Augmentation [Breakdowns]
By 2030, we’ll see 92 million jobs lost, and 𝟏𝟕𝟎 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 jobs created, according to the latest WEF report. | Alex Wang
Alex Wanglinkedin.com
AuthorityHacker surveyed 1,200 music consumers and got some striking results: 93% said they did not value AI-generated music as highly as music produced by humans. And, while over 60% said they would consider listening to AI music, some 56% also said they would not willingly pay for songs generated using AI. Perhaps most striking: 89% of those... See more
As AI fakes proliferate, we need to draw a clear distinction between human-made music and AI-generated content
Subsequent research by Gerstgrasser and colleagues at Stanford and MIT (arXiv:2404.01413) provides important qualification: model collapse is not inevitable if synthetic data accumulates alongside real data rather than replacing it. The pathological scenario assumes complete substitution—thoughtful data curation can prevent the worst outcomes.
Substack • The Cognitive Collapse Thesis: How Polluted Information Loops Are Degrading Both Machine and Human Intelligence—And What It Means for Capital, Power, and Civilization
Superintelligence by Nick Bostrom, Professor in the Faculty of Philosophy & Oxford Martin School and Director & Future of Humanity Institute & University of Oxford
If e/acc is an attempt to rebrand tech zealotry as an apotheosis of moral goodness, it is also, as Silicon Valley grieves the realization that it is no longer seen as an unbridled force for good, a form of denial and bargaining—one last plea for salvation as the walls close in. If it happens to result in the end of humanity, so be it. As Land’s... See more
