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GAME DEV
1 Unreal Engine 6 will remove Blueprints, not just deprecate them
At the Unreal Fest Tokyo keynote, Epic said UE6 will drop Actors, Blueprints and the C++ Gameplay Framework when it reaches Early Access, moving gameplay code to Verse and Scene Graph. C++ stays for the low-level engine, UE5 projects can keep going, and Epic plans AI-assisted conversion to Verse.
Why builders care: If your game logic lives in Blueprints, start planning for Verse now.
2 Meituan ships LongCat-2.5 for long-horizon agent work
LongCat-2.5 is a natively multimodal MoE with 1.6 trillion total parameters and about 48 billion active per token, trained with large-scale RL on long coding tasks. Meituan's own table puts it at 88.4 on Terminal Bench v2.1, up from 70.8 for LongCat-2.0, using a Claude Code harness.
Why builders care: Another agentic coding model worth testing; treat the scores as vendor-reported.
3 Pieter Levels ports Battlefield 1942 to the browser with Claude Code
With no open-source engine to build on, Levels says Claude Code disassembled the shareware demo into about 57,000 x86 functions, translated them into roughly 100,000 lines of C, compiled that to WebAssembly and rewrote the Direct3D calls for WebGL 2. He says it took about 1 million output tokens.
Why builders care: A vivid data point on what agents can do with legacy binaries.
4 Hume's Audio Decisions API answers questions about recordings with probabilities
Send one MP3 or WAV between 5 seconds and 5 minutes plus plain-language questions, and you get back probabilities instead of a transcript: yes or no, multiple choice, scores on a scale, or time spans. Pricing is $0.47 per million input tokens, with a 1 million token trial credit.
Why builders care: A cheap way to test voice agents, like flagging calls where the agent talks over the caller.
5 Anthropic open-sources FlashProve for provable inference
FlashProve produces cryptographic proofs that a reply came from a committed set of weights, without revealing those weights. It runs full-size Llama 4 Maverick on one H100 at about 110 tokens a second of prefill, and anyone can verify a proof on an ordinary CPU in seconds. It's an Apache 2.0 research artifact with a 1,024-token context, and it isn't maintained.
Why builders care: If customers ask you to prove which model answered, this is a working reference.
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