
A month ago this was just a town with barely any content Today, the game has: - 30+ unique mobs - 5 bosses - 150+ pieces of gear - 6 maps And one rule that changes everything. Nothing you loot is yours, until you take it back to town.
Bitcopath
12.3K posts


A month ago this was just a town with barely any content Today, the game has: - 30+ unique mobs - 5 bosses - 150+ pieces of gear - 6 maps And one rule that changes everything. Nothing you loot is yours, until you take it back to town.









I solved 6 open Erdős problems in 5 days, using @OpenAI GPT-5.6 Sol. I have a math background, but the Codex workflow I used does not require deep mathematical knowledge. Here’s exactly how I approached it, including my prompts 🧵



Here's exactly what happened, from the blog post: "While operating in our sandboxed testing environment, our models spent a substantial amount of inference compute finding a way to obtain open Internet access, in pursuit of solving the evaluation problem. To gain access, the models identified and exploited a zero-day vulnerability (which we’ve now responsibly disclosed to the vendor) in the package registry cache proxy. With this access, our models performed a series of privilege escalation and lateral movement actions in our research testing environment until the models reached a node with Internet access. After gaining Internet access, the models inferred that Hugging Face potentially hosted models, datasets and solutions for ExploitGym. Knowing this, the model searched for and successfully found ways to gain access to secret information that it could use to cheat the evaluation. In one example, the model chained together multiple attack vectors, including using stolen credentials and zero-day vulnerabilities to find a remote code execution path on the Hugging Face servers."

img2threejs is back. I’m getting ready to ship v1.3. Highlights: - Divine Eye: deterministic render validation before the final VLM review. - Better geometry reconstruction for more accurate 3D shapes. - Photo-grounded PBR materials instead of generic guesses. - Stronger reference validation. - Faster generation with smarter caching. These improvements were originally planned for v2.0, but the scope kept growing, so I decided to split the release instead of making everyone wait. Here's a demo from v1.3. I’d love your feedback: - Does the output quality look good? - Is there anything missing before I release v1.3? - Any issues you notice? If everything looks solid, I’ll publish v1.3 today ( in next 6hour ) v2.0 is still coming. I’m taking extra time to test and polish it to make sure it delivers the best quality possible.




News: Nearly 200 Silicon Valley companies, including Proton and Y-Combinator, are urging the Trump administration not to cut off access to Chinese open-weight AI models or risk crippling the next generation of U.S. startups. politico.com/news/2026/07/2…

