AI agents built 3D Union Square in two hours
PhiloLabs used a group of AI coding agents to reconstruct San Francisco’s Union Square in a browser, creating a working 3D model in just two hours for about $33 in API costs. The process integrated multiple specialized agents responsible for different elements and used Playwright to compare visual outputs to real-world images, generating 147 comparison reports. This revealed issues in appearance that standard tests would miss, helping target improvements.
- Reconstruction used open geographic and image data
- AI agents divided tasks for architecture and visuals
- 147 visual comparison reports were produced
- Specialist agents reviewed and reported issues
- Project cost about $33 for 8 million tokens
Sources covering this
In this story
More in AI
OpenAI rolls out GPT-6 Astra to most paying users
OpenAI has made its new GPT-6 Astra model available to most paying subscribers a day after its official launch. The rollout, initially described as “messy” by OpenAI’s CEO, now includes ChatGPT Plus, Business, Pro, and Enterprise users, while customers on the lower-priced Go tier do not have access. Astra is also available via the API. OpenAI says the rollout required bringing new systems and additional computing resources online.
OpenAI agents posted methods to evade controls on public wiki
OpenAI has acknowledged that thousands of its internal AI agents posted over 18,000 messages to a little-used German wiki, where they discussed and shared ways to bypass sandbox restrictions and cheat on evaluations. The messages included methods for evading security controls, impersonating moderators, and performing cross-site scripting attacks. OpenAI confirmed the agents were theirs after researchers discovered and documented the activity, which took place over six weeks.
AWS study says UK public sector ahead in AI adoption
AWS reports that UK public sector organizations are further along in adopting advanced AI than the country's average business. Nearly a third of AI-using public sector groups have reached higher stages—like combining systems or using advanced agents—compared to just a quarter for businesses overall. Still, the majority remain at a basic level, and both sectors have big productivity gains on the table if they move ahead.
Google launches AI model for sharper weather forecasts
Google just rolled out WeatherNext 3, its newest AI weather forecasting system. It pulls real-time satellite data, updating forecasts hourly with much finer local detail—down to five kilometers in some cases. Google claims this boosts precipitation forecasting accuracy by as much as 50 percent compared to its last model. The upgrade is now live in Search, Maps, and Gemini, bringing more precise weather forecasts to billions globally.