AI Horseless Carriages(koomen.dev)
762 points by petekoomen | 449 comments
Pete Koomen's essay arguing many AI apps are 'horseless carriages' that mimic old software patterns, using Gmail's AI assistant as an example.
762 points by petekoomen | 449 comments
Pete Koomen's essay arguing many AI apps are 'horseless carriages' that mimic old software patterns, using Gmail's AI assistant as an example.
39 points by gafferongames | 38 comments
789 points by Tenoke | 518 comments
AI 2027 is a scenario by Daniel Kokotajlo, Scott Alexander and others forecasting the impact of superhuman AI over the next decade, with interactive capability charts.
420 points by hassaanr | 242 comments
Show HN post by Tavus co-founders describing their real-time AI video agent with sub-second latency and the engineering behind it.
804 points by jatins | 905 comments
Dan Luu essay evaluating the accuracy of AI skeptic Ed Zitron's predictions, starting with his 2024 claim that Meta, Google, and Microsoft are dying.
85 points by merksittich | 64 comments
Epoch AI report by David Owen presenting InnovationEval, finding early evidence that AI models cannot yet automate AI R&D or match human algorithmic innovation.
423 points by zdw | 207 comments
A short 2024 blog post by Kevin Conner comparing AI to a horse in a list of analogies about its speed, reliability, cost, and need for guidance.
453 points by bx376 | 663 comments
An Economist Free exchange column arguing that artificial intelligence is losing hype and asking whether that signals the technology will eventually succeed.
832 points by robotswantdata | 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.
474 points by paulpauper | 375 comments
LessWrong linkpost essay arguing recent AI model improvements feel overstated, based on experience building an AI codebase security-scanning startup.
14 points by fagnerbrack | 7 comments
A blog post by Fagner Brack on Medium describing what an AI-native approach to software development with stable infrastructure looks like.