Tried Hy4 preview through WorkBuddy and gave it a pretty vague prompt for a first person roller coaster ride, front row seat, make it feel fast, that was basically it. No detailed spec, no reference video, just a rough idea in a sentence. What came back actually held up. Steep drop that felt like the bottom dropping out, banked turns that leaned the right way, scenery rushing by close enough that you register the speed instead of just watching it happen. For something built off a loose prompt like that, I did not expect it to nail the feel this well. Coding and 3D rendering have clearly gotten a real upgrade here, and this took one pass to look this good. Free to try in @WorkBuddy_AI for the next two weeks if you want to mess with it yourself. @TencentHunyuan @TencentAI_News

AI that finally hears you. 👂 Hy ASR 3.0 preview drops today. Powered by Hy3’s language brain → precision ASR + deep semantic understanding Wins on: • general recognition • context awareness • multi-scenario robustness • dialect coverage Messy real-world audio? Clean, coherent transcripts that nail your intent. Open + internal benches: leading. Multilingual WER ≈ 3%. Voice just got an upgrade. 🔥 #HyASR# #TencentAI# #Hy3#

Every demo in this video came out of a single prompt. No follow ups, nothing fixed by hand. I ran 168 of them through an agent harness, one shot each, and picked 20 for the cut. Median 7 minutes per demo. The neon tunnel burned 98 056 output tokens to produce 5 KB of code, it thinks a lot more than it writes. 68 of the 168 came out working in a browser. Most of the misses were my own harness capping a reply at 64 000 tokens, not the model. This is Hy4 preview, Tencent Hunyuan just open sourced it. 770B total, 49B active, 1M+ context, third flagship they ship in 6 months. The part i find more interesting than the size is how they built it. They co-designed it next to their own products instead of throwing the weights over the wall, with people who actually do software, games, finance and security. In their internal blind test, 163 experts across 203 engineering tasks, it scored 2.99/4 against Kimi K3 at 2.94 and GLM 5.3 at 2.92. Their numbers, not mine. Price is the part that will annoy some people. $0.834/M in, $2.501/M out, $0.042/M cache hits. Hy4 preview is free on WorkBuddy for 2 weeks right now if you want to poke at it yourself: @TencentHunyuan @TencentAI_News @WorkBuddy_AI

Interesting take on world model consistency: what if you skip 3D reconstruction entirely? WorldCrafter from TencentARC, weights are open. Instead of building 3D geometry, the video generator queries an implicit memory by camera pose. point the camera somewhere and the memory fills in the view. → one image or text prompt, minutes of scene exploration. base and distilled fast version both on HF → 384×640 for now. resolution can scale once the architecture works ✍️full paper at 🤗weights at ⌨️code at