Ark Invest: Robotaxis 28 trillion by 2030 [video](youtube.com)

3 points by mgh2 2 years ago | 0 comments

Ed Zitron on CNBC: GenAI Doesn't Work, and Big Tech Is Out of Hypergrowth Ideas(youtube.com)

26 points by johnbarron 3 months ago | 19 comments

Self-supervised learning, JEPA, world models, and the future of AI [video](youtube.com)

39 points by twoodfin 1 year ago | 22 comments

AI is destroying open source, and it's not even good yet [video](youtube.com)

41 points by delduca 8 months ago | 33 comments

Alan Kay's talk at UCLA – Feb 2024 [video](youtube.com)

256 points by sgoyal 2 years ago | 74 comments

70% of AI revenue comes from OpenAI and Anthropic(youtube.com)

32 points by johnbarron 2 months ago | 6 comments

AI is not a coworker, it's an exoskeleton(kasava.dev)

485 points by benbeingbin 8 months ago | 509 comments

Kasava blog post arguing AI should be treated as an exoskeleton that amplifies human capability rather than as an autonomous coworker.

Is legal the same as legitimate: AI reimplementation and the erosion of copyleft(writings.hongminhee.org)

541 points by dahlia 7 months ago | 539 comments

Blog essay arguing that AI-assisted clean-room reimplementation, as with chardet 7.0 relicensed from LGPL to MIT, may be legal but erodes the legitimacy of copyleft.

The force-feeding of AI features on an unwilling public(honest-broker.com)

330 points by imartin2k 1 year ago | 279 comments

Ted Gioia essay on The Honest Broker arguing tech companies are forcing unwanted AI features on users, calling it tyranny rather than innovation.

The new skill in AI is not prompting, it's context engineering(philschmid.de)

832 points by robotswantdata 1 year ago | 467 comments

Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.

The threat is comfortable drift toward not understanding what you're doing(ergosphere.blog)

814 points by zaikunzhang 6 months ago | 550 comments

Blog essay arguing that the risk of AI in science is researchers, especially PhD students, drifting into not understanding their own work.

Artificial intelligence is losing hype(economist.com)

453 points by bx376 2 years ago | 663 comments

An Economist Free exchange column arguing that artificial intelligence is losing hype and asking whether that signals the technology will eventually succeed.