#开源生态

Exciting news: Beam-1.0-501B-A23B by @Reflection_AI just landed #12 among open weight models in Agent Arena with -3.67% Net Improvement, and #22 among open in Code Arena: WebDev with 1438 pts. It’s also fully open under Apache 2.0. On the Agent Arena leaderboard, Beam 1.0 is the top-ranked US model among open models, landing at #12. That puts it ahead of Hy3, MiMo V2.5 Pro and MiniMax M3. Its margin of error is wide (±3.84% on Net Improvement), so it’s statistically closer to the two Qwen3.8 models just above it than its rank suggests. On Code Arena: WebDev, 24 of the top 25 open models come from Chinese labs. The one exception is Reflection’s Beam 1.0 (Apache 2.0). It ranks #22 among open models, which makes it the top US open model on the board, just ahead of Kimi K2.5 Thinking and GLM-5. Congrats to the @Reflection_AI team on this solid open weights release!

Science, Open to All. We're building AIPOCH Open-Science for anyone with a question to explore. Research with AI, preserve the work behind each finding, and share a .science package for others to inspect, reproduce, and build on. Open-Science V 1.0.0 is alive!

MofCom said they will have a near auto licensing regime for open-source AI that allows more rapid release it seems? "To support the development of an open-source AI innovation ecosystem, automatic licensing and other facilitation measures will apply to technology exports involving open-source releases of AI technologies, Chinese companies building and operating their own computing centers overseas, overseas chip tape-outs and fabrication, joint R&D using overseas resources, and participation in international standard-setting—essentially allowing exports to proceed immediately upon filing."

Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active. - Frontier reasoning efficiency - Advances the Western open frontier on coding & agentic tasks - Trained end-to-end from scratch Full weights release this month. Learn more about Beam: http://reflection.ai/beam

【Tripo × Astra / Opus / Argon × Blender】 ３Dモデル完成しました✨ -------------------- 制作スキルはリプ欄で配布いたします! GithubURL添付いたしますので、良ければご活用ください！ -------------------- 制作期間はおよそ２週間（実質１ヶ月ですが、品質微妙で２回作り直しました💦） 簡単に制作ステップを解説すると以下の通りです。 ✅ 顔・身体・髪の毛・表情毎の３面図・アクセサリー類のイラストを作成 ✅上記のモデルをTripoで全て作成 ・全部SmartmeshP2.0 四角形5000～10000くらいのポリゴン数がおすすめ ・ポリゴン数が多すぎると、補正時に歪みやすくなります ✅各パーツをBlenderMCPで結合 ✅簡単な小物・装飾類は直接モデリングで作成してもらう ✅眼球のモデリング・手を補正 ✅リグ挿入・スキンウェイト調整、IK/FK制作 ✅揺れもの調整 ✅シェーダー調整 ちなみに翼の開閉もできるようにしました🔥 これは翼の構造自体をしっかりAstraに考えさせ、羽の配置を一枚一枚しっかりモデリングさせました！ 気合でこれくらいの品質のものまで作れるのはホント凄いですね💦 #Tripo

Higgsfield promised to open-source their entire platform. They didn’t. Let's help them. For the next two weeks, Comfy and our partners are putting up $25,000 in prizes for the best open-source builds on the Comfy Developer Platform. Partners: @NVIDIAAI, @runpod, @MiniMax_AI, @ltx_io, @bfl_ai → $10K grand prize → RTX 5090: Most Innovative → RTX 5090: Most Viral → RTX 5090: Open Weights Only → 10 runners-up: $250 in Comfy credits

Meta released the weights of Muse Spark Open, on Huggingface, an 816B-parameter model built for coding and agentic work. The open version shares the same base model as Muse Spark 1.3, with additional safety post-training to resist misuse as a standalone model without system guardrails, reversing Meta’s first proprietary, closed-weight frontier model strategy from April. Each of its 62 layers holds 256 expert networks and routes every token through 8, so deployment needs the memory of an 816B-parameter model but runs at the speed of a 42B model. That storage bill explains the Apple tie-up, because the M5 Ultra pushes 1.2 TB/s of unified memory and a Mac Studio can carry up to 512GB. A 3-bit quant tested on a 512GB M3 Ultra took about 344 GB and ran at about 21 tok/s generation on a short prompt.

Muse Spark Open -- 权重今天发布 -- 得益于与 @johnternus 和 Apple 的合作，在新款 Mac Studios 上运行效果极佳。

For 30 years, technology has moved in one direction: turning information into intuitive interfaces Somehow, the smartest software we’ve ever built took us back to a textbox We’ve spent the last 2 years at @openuidev trying to fix that. 6 months ago we open-sourced it: 10K+ GitHub stars, 6M+ downloads ChatGPT shipped Intelligent UI and showed everyone what it looks like Today we’re releasing OpenUI 1.0 bringing it to every other agent

New from me: Perplexity is open sourcing its sandbox, called SPACE, and has partners like Akamai, Coreweave and Crusoe in the big push for AI security