AITOPAI热报
ModelsOfficialSelected

GPT-6 Astra renders donut video

官方一手歸藏(guizang.ai)@op7418
Post· 11 sources
View the post
Why we picked it

GPT-6 Astra's rapid Blender creation outpaces human learning time, making complex 3D tasks accessible to beginners.

GPT-6 Astra created a detailed donut model in Blender in 10 minutes. The AI added frosting falling animation and camera movements. The user noted this would typically take 1-2 hours to learn and teach. The demonstration showcases GPT-6 Astra's 3D modeling and computer use capabilities.

Image · 歸藏(guizang.ai)
Original · 歸藏(guizang.ai)

更进一步，让 GPT-6 Astra 在 Blender 里给我渲染了一个甜甜圈展示视频。 它还给加了糖霜落下的动效和运镜！ Your browser does not support the video tag. 🔗 View on Twitter 歸藏(guizang.ai) @op7418 卧槽！GPT-6 Astra 这个 3D 建模和 Computer Use 能力太屌了呀！ 慢速模式只用了 10 分钟，就帮我在 Blender 里渲染了一个非常精细的甜甜圈模型 妈的，我还记得我每次学习 Blender 都从这个开始，没有一次学完的，那视频教都得教一两个小时 🔗 View Quoted Tweet 💬 2 🔄 0 ❤️ 5 👀 1297 📊 3 ⚡

#GPT-6 Astra#Blender#3D modeling#computer use#multimodal

Keep reading

Recent stories with the same tag or section
ModelsUS vs ChinaMulti-sourceSelected22:01
DeepSeek V4 Pro 0813 ties for second on CVE rediscovery benchmark

Vulnerability rediscovery is becoming a measurable benchmark for frontier models, and a Chinese model matching a top US lab result suggests the capability gap on security-relevant reasoning has narrowed. Security researchers and red teams can weigh these pass@3 scores when picking models for bug-hunting workflows. The poster argues the result reflects data scale rather than copying a competitor's outputs.

#DeepSeek#GPT-6 Astra#reasoning models#AI safety
Event
Teortaxes@teortaxesTex10 sourcesSource
ModelsUS vs ChinaMulti-sourceSelected23:55
Claude Sonnet 5.5 and GPT-6 Astra tie on MLCR-AA leaderboard

The split matters more than the tie: Anthropic models dominate completeness, with Claude Sonnet 5.5 at 64.8% versus 42.2% for the best non-Anthropic model, while OpenAI models dominate accuracy, led by GPT-6.1 Sol at 96.7%. Teams deploying models for medical record review should pick based on which failure mode they can tolerate. Even top models still fail more than half of the benchmark's questions, so human review remains necessary.

#Claude Sonnet 5.5#GPT-6 Astra#Wisedocs#Qwen3.8
Event
官方账号Artificial Analysis@ArtificialAnlys11 sourcesSource