Gatsby Adapters(netlify.com)

11 points by todsacerdoti 3 years ago | 0 comments

Deep Agents(blog.langchain.com)

114 points by saikatsg 1 year ago | 37 comments

Xogot – Godot for iPad(xogot.com)

118 points by codetrotter 1 year ago | 27 comments

The 100 hour gap between a vibecoded prototype and a working product(kanfa.macbudkowski.com)

219 points by kiwieater 7 months ago | 291 comments

Dear valued user, You have reached the error page for the error page(imgur.com)

166 points by Alex3917 1 year ago | 36 comments

I analyzed 180M jobs to see what jobs AI is replacing today(bloomberry.com)

145 points by AznHisoka 11 months ago | 92 comments

Pokémon Go Scans Trained the Navigation Tech for Military Drones(dronexl.co)

673 points by vrganj 4 months ago | 304 comments

DroneXL article reporting that Pokémon Go player scans helped train Niantic's visual navigation technology now being used in military drones.

AWS Bedrock to require sharing data with Anthropic for Mythos and future models

369 points by TomAnthony 4 months ago | 216 comments

Hacker News discussion of Anthropic requiring 30-day data retention for Mythos-class Claude models on AWS Bedrock, moving data outside AWS's security boundary.

GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2(arrowtsx.dev)

474 points by oshrimpton 4 months ago | 235 comments

Blog post arguing that bigger AI models are not better, comparing benchmark and hallucination rates of GLM-5.2, GPT-5.5, Opus 4.8, DeepSeek V4 and others.

O3 beats a master-level GeoGuessr player, even with fake EXIF data(sampatt.com)

414 points by bko 1 year ago | 285 comments

Blog post by Sam Patterson comparing OpenAI's o3 model against a master-level GeoGuessr player, including rounds with fake EXIF data and without search.

Gemma 3 QAT Models: Bringing AI to Consumer GPUs(developers.googleblog.com)

571 points by emrah 1 year ago | 259 comments

Google Developers Blog post announcing Gemma 3 models trained with quantization-aware training so they can run on consumer GPUs.

GPT-5.5 Codex reasoning-token clustering may be leading to degraded performance(github.com)

339 points by maille 3 months ago | 140 comments

GitHub issue on openai/codex reporting GPT-5.5 reasoning-token counts clustering at 516/1034/1552, possibly degrading performance on complex tasks.