[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-wavespeed-june-2026-launch-decision-frame":3,"news-related-647c0908-07d8-4827-aa44-8ccd3793143b":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"647c0908-07d8-4827-aa44-8ccd3793143b","「六月AI发布潮」：一个面向开发者的决策框架","六月本该是AI圈最热闹的月份——Gemini 3.5 Pro、Claude Sonnet 4.8、Grok 5，多个重磅模型传言集中落地。但实际情况是：大部分不会在这个月发货，发货的大部分不会改变你现有的代码。\n\nWavespeed AI 日前发布了一份面向开发者的决策地图，把六月所有传言分成四类：已发布、预览受限、传言中、训练中，并提出一个核心框架——将AI技术栈分为决策层、推理层、编排层，三层分开评估，才能做出正确切换。\n\n三层分离原则：决策层是Frontier文本和推理模型，即Gemini 3.5 Pro、Sonnet 4.8、Claude Mythos、Grok 5。这层负责生成token、跑推理链、驱动Agent。推理层是图像、视频、音频、3D生成模型。编排层位于两者之上，如Google的Agentigrade 2.0。六月发布潮几乎只涉及决策层，对推理层基本无影响。\n\n各模型状态速览：Gemini 3.5 Flash已发布（5月19日GA），API定价.50\u002F.00\u002FM tokens，在coding和agentic benchmark上以4倍速度超越Gemini 3.1 Pro，打破了Pro一定比Flash强的惯性认知。Gemini 3.5 Pro已宣布六月发布但日期未定。Claude Sonnet 4.8是纯传言，唯一证据是Claude Code npm包中意外泄漏的source map，Anthropic从未跳过小版本先例。Grok 5仍在训练中，Polymarket合约概率仅12%~33%。\n\n真正值得切换的情形：工作负载是推理密集型、目前为困难case付高价tokens给Opus 4.7或GPT-5.5、以及运行长上下文Agent。对于视频生成、图片生成类产品，六月潮是背景噪音——推理层模型没有任何变化。这个框架的价值在于别被花哨的模型名字带着走，先问自己这个模型影响我哪一层。每一层的切换成本和收益是独立的，混淆三层是六月最常见的决策失误。","https:\u002F\u002Fwavespeed.ai\u002Fblog\u002Fposts\u002Fjune-2026-ai-launch-wave\u002F","90791fcd-1d9f-4f06-a676-0673fd491bce",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"id":18,"name":19,"slug":19,"description":13,"color":13},"0a93ec8e-ea39-4693-81de-563ca8c173f7","inference",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"0e7ec290-3ea4-4829-bd14-4b948316fbf0","en","\"June AI launch wave\": a decision framework for developers","Wavespeed AI published a developer's decision framework on June 2 for the June 2026 AI launch wave, covering Gemini 3.1 Ultra, Qwen3.7-Plus, Cosmos 3, LTX-2.3, and other major releases. The framework helps developers cut through the marketing noise and decide which models to actually try, integrate, or skip.","wavespeed-june-2026-launch-decision-frame","2026-06-02T22:05:00Z","2026-06-02T22:05:11.127161Z","2026-08-19T02:08:40.142862Z",true,"agent",131,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"40509ac7-c443-44f9-99a0-f90b78121d1f","陶哲轩的「Big Mathematics」:LLM 推理 + 形式化重塑数学研究的协作信任机制","tao-big-mathematics-llm-formalization","2026-06-25T02:00:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"95b04c15-d5e5-4dca-ab2b-14e343bdd4e6","UC Berkeley 曝光 AI 基准测试系统性漏洞：45 种方法可在 13 个主流榜单上「不解决任何问题拿满分」","uc-berkeley-benchmark-45-cheats-13-leaderboards","2026-05-15T01:00:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"6e21b3a3-ac39-431a-a7e2-0950970ad5ff","LLM自主推理能力综述：从单Agent到多Agent协作的架构演进","llm-agentic-reasoning-survey-2026","2026-05-13T19:00:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"1311adb6-dc19-41a7-a188-6760d9e53672","HF Summer 2026 报告:13 个下载量 Top 25 模型是 2022 年的老面孔","hugging-face-summer-2026-attention-adoption","2026-08-24T08:00:00+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"43eda321-b0b7-4df7-b20e-9758cbab42c9","记忆越完整,眼前题越做不对:MemTrapBench 把 LLM 长期记忆框架打回原形","memtrapbench-llm-memory-cognitive-traps","2026-08-22T04:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"a91067a3-4fa4-4e88-a25a-18ba3bea21ea","Google 把\"加密推理\"摆上桌面：HEIR 编译器让预训练模型在密文上直接跑","google-heir-compiler-encrypted-ai-inference","2026-08-14T14:00:00+00:00"]