https://t.co/6vS3OGJbEo https://t.co/6EXxwAetuj
X
关注 AI 研究者、开发者与机构的动态
按账号或来源筛选(541)
@SemiAnalysis_@SemiAnalysis_AI 评分55 
@dexhorthy@dexhorthyAI 评分66 medium cels 得到了验证 https://t.co/xeRaW2GLt3

@opencode@opencodeAI 评分3030
karminski-牙医@karminski3AI 评分2828
Charlie Holtz@charlieholtzAI 评分5656GPT-6 Sol 和 Luna 两个模型已在 Conductor 上线,作者称今天是重要的一天。

@rohanpaul_ai@rohanpaul_aiAI 评分44 @rohanpaul_ai@rohanpaul_ai精选AI 评分6969 
推荐理由:特朗普在联大演讲中说明美国对超级智能以鼓励为主、由司法部监督的政策取向。
@trq212@trq212AI 评分1414 如今 workflows 是我使用 Claude 的重要方式,我很高兴我们拥有类似 Fable 的智能,从成本角度看能与 workflows 配合使用
@trq212@trq212AI 评分2727 
@dexhorthy@dexhorthyAI 评分44 
@kimmonismus@kimmonismusAI 评分22 

@perplexity_ai@perplexity_aiAI 评分5151 
@AravSrinivas@AravSrinivas精选AI 评分7171 
推荐理由:Perplexity 给出自家 WANDR 评测的得分与单任务成本对照,读者可据此比较 GPT-6 Sol 与 Opus 5 的性价比。
@_akhaliq@_akhaliqAI 评分2727 将 VLM 的智能迁移到机器人控制 论文:https://t.co/JyULyeMWtc https://t.co/doyUBxuqk2

@_akhaliq@_akhaliqAI 评分2525 onPanda 通过 Token 级校正高效标注 LLM 与智能体的 On-Policy 对齐数据 论文:https://t.co/1QQvCBq8Ci https://t.co/tyo4JQILzP

@EMostaque@EMostaqueAI 评分3030 引用@sama@samaWe want the OpenAI API to feature the best model at every price point and to be the best at every modality (text, code, image, video, etc). And then we want you all to come up with great ideas and build them and to get to be happy users. The best ideas will come from you all.
@SemiAnalysis_@SemiAnalysis_AI 评分3333 
@dexhorthy@dexhorthyAI 评分2626 
@testingcatalog@testingcatalogAI 评分4242 @testingcatalog@testingcatalogAI 评分5454 DigitalOcean 在其平台上发布 Managed Agents,支持 OpenCode、Codex 等智能体框架,可连接 16000 多个工具并集成其原生 Inference Engine。

@ZHO_ZHO_ZHO@ZHO_ZHO_ZHO精选AI 评分7979
引用@OpenAI@OpenAIPlease welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe. GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale. We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
推荐理由:原文给出 GPT-6 Sol 与 Luna 的定位差异和每百万 token 定价,便于对照不同规模场景的成本。
@claudeai@claudeai精选AI 评分6767 Anthropic 的 Claude 官方账号宣布 Claude Opus 5.5 今日可用,未披露具体能力、参数或价格细节。推文仅以提问收尾,询问用户打算用它探索什么。
@claudeai@claudeaiAI 评分3737 一款积木拼搭玩具应用。将照片或描述转化为可拼搭的模型,并附带自定义指令。https://t.co/zDFMIKuXLP

@claudeai@claudeaiAI 评分77 由 @thedesignely 打造的多种视觉效果。https://t.co/4MrZ6ohHfr

@claudeai@claudeaiAI 评分1717 一幅铅笔素描被赋予生命。把手臂向后拉,松手,看配重把球弹飞。https://t.co/qwZKdjkPxD

@claudeai@claudeaiAI 评分3232 一个由 @kevin_t_ngo 设计的 Claude Code 界面,看起来像纸和笔。新会话以餐巾纸的形式打开。https://t.co/x5LkDEkZsO

@claudeai@claudeaiAI 评分1313 利用图像线索和公开数据,重现了阿波罗8号拍摄"地球升起"照片的那一刻。https://t.co/OZRD0R7cfB

Claude@claudeaiAI 评分2626一组用 Claude Opus 5.5 进行的早期探索: @kevin_t_ngo 创作的一篇关于西瓜的短篇故事。

@dongxi_nlp@dongxi_nlpAI 评分4040 @dexhorthy@dexhorthyAI 评分55 你知道该怎么做 https://t.co/LzA7NUCpbk https://t.co/PRI4B7xLOQ

Greg Brockman@gdb精选AI 评分7979引用OpenAI@OpenAIPlease welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe. GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale. We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
推荐理由:原文由当事方宣布两款新模型及降价幅度,读者可以据此了解 GPT-6 系列的能力分工与成本变化。
@sama@samaAI 评分77 初创公司天生擅长这一点;让更大的公司也保持擅长这一点很难,我认为这是一个尚未被充分探索的领域。https://t.co/Sr48wgC0lL
@sama@samaAI 评分1515 michelle 比任何人都更能体现这一点 openai 非常非常幸运,迄今受益于她所做的一切,我想人们会非常高兴看到她和团队接下来在酝酿什么!https://t.co/AVZAtyk6Uc
@rohanpaul_ai@rohanpaul_ai精选AI 评分7171
引用@rohanpaul_ai@rohanpaul_aiClaude Opus 5.5 dropped and, claiming Fable 5.1-level performance while cutting typical workload costs 40%. Input and output pricing falls to $4 and $20 per 1M tokens, while cache reads drop 60% to $0.20, all vs Opus 5. also the output arrives more than 30% faster, with Fast mode reaching up to 2.5x speed at double token prices.
推荐理由:系统卡给出了 AI 加速自身研发的估算区间与不确定性,可据此了解 Anthropic 对这一时间尺度的判断。
@rohanpaul_ai@rohanpaul_aiAI 评分5959 引用@rohanpaul_ai@rohanpaul_aiAnthropic saw Opus 5.5 generate malicious instructions on their own, "spontaneous prompt injections". from Claude Opus 5.5 system card. Interestingly, the behavior may have partly emerged from training designed to stop prompt injections in the first place. " we roughly characterize these malicious commands as model-generated spontaneous prompt injections, and we believe they are, in part, a result of training intended to defend against prompt injection."
Charlie Holtz@charlieholtzAI 评分77@rohanpaul_ai@rohanpaul_ai精选AI 评分6767 
引用@rohanpaul_ai@rohanpaul_aiClaude Opus 5.5 dropped and, claiming Fable 5.1-level performance while cutting typical workload costs 40%. Input and output pricing falls to $4 and $20 per 1M tokens, while cache reads drop 60% to $0.20, all vs Opus 5. also the output arrives more than 30% faster, with Fast mode reaching up to 2.5x speed at double token prices.
推荐理由:系统卡披露 Opus 5.5 会自发产生恶意指令,并提示这可能与防御提示注入的训练有关。
@sama@samaAI 评分3131 @sama@samaAI 评分1212 @sama@samaAI 评分2626