Pexo 推出 Mark to Fix 工作流,用户可在视频帧上框选区域并说明需要修改的内容,为智能体提供明确的修改目标。该功能针对 AI 视频"改细节难"的控制问题,让修改意图和范围更具体。
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)
@rohanpaul_ai@rohanpaul_aiAI 评分2323 
@cb_doge@cb_dogeAI 评分4242 引用@SpaceXAI@SpaceXAIGrok 4.7 is here. It's a notable improvement over Grok 4.6 at the same price and speed. https://t.co/H3OTBbXyvO
@SemiAnalysis_@SemiAnalysis_AI 评分2222 推理中的计算与数据搬运 将 MoE 模型映射到推理硬件:结构、数据流与高效服务 https://t.co/3HCjoVu1r4
@rohanpaul_ai@rohanpaul_aiAI 评分00 
@fofrAI@fofrAIAI 评分22 https://t.co/kPO2el9f2N https://t.co/0PTsVOVEu5

@omarsar0@omarsar0AI 评分5151 论文 EvoOntology 提出面向数据智能体的自演化本体层,把本体作为 MCP server 的 schema、content 与 tool 三层提供,供智能体在运行时查询。

@EMostaque@EMostaqueAI 评分55 https://t.co/A2ID1eWyzR https://t.co/ku4ZtFFjtu

@Replit@ReplitAI 评分1010 我们算过了。免费模式就是合理。https://t.co/JdNdCCryLa

@rohanpaul_ai@rohanpaul_aiAI 评分1111 代码以修改版 Apache 2.0 许可证公开 这是他们的官方 GitHub 仓库,绝对值得点个 star。 https://t.co/nkcZfLRvlM
@rohanpaul_ai@rohanpaul_aiAI 评分5555 
@Thom_Wolf@Thom_WolfAI 评分99 @OpenAI@OpenAIAI 评分3737
Georgi Gerganov@ggerganovAI 评分1515
eric zakariasson@ericzakariassonAI 评分6464
@alexandr_wang@alexandr_wangAI 评分4747 @rohanpaul_ai@rohanpaul_aiAI 评分22 无法翻译——主推文内容仅包含一个链接(https://t.co/thCZ229fen),没有可翻译的文字内容。 请提供推文的实际文字内容,以便我完成翻译和标题生成。
@rohanpaul_ai@rohanpaul_ai精选AI 评分6767 
推荐理由:美国财长在 CNBC 明确 AI 实验室须自担责任、政府不接管责任,可作为观察美国 AI 监管责任归属的官方口径。
@opencode@opencodeAI 评分2727 @cb_doge@cb_dogeAI 评分4444 
@Yuchenj_UW@Yuchenj_UWAI 评分2525 @ClementDelangue@ClementDelangueAI 评分2424 @elonmusk@elonmuskAI 评分55 @alexandr_wang@alexandr_wangAI 评分55 https://t.co/oIkkV6lQ6Y https://t.co/gRoZ1lLfuX

@elonmusk@elonmuskAI 评分2121 Grok 4.7 与我们的 Build harness 配合得非常好 https://t.co/qeSIpwH1Jp https://t.co/NcXiUBoKDf
@cb_doge@cb_dogeAI 评分2626 
@cohere@cohereAI 评分66 我们派了技术团队去 @HackTheNorth,结果他们回来变成非技术团队了 https://t.co/eSONfZV5kE

@Yuchenj_UW@Yuchenj_UWAI 评分3535 @elonmusk@elonmuskAI 评分6464 引用@ArtificialAnlys@ArtificialAnlysGrok 4.7 scores 46 on the Artificial Analysis Intelligence Index to bring SpaceXAI into the top 4 AI labs. Coding Agent Index performance has also improved, overtaking GPT-5.6 Sol Grok 4.7 scores +2 points over Grok 4.6 on the Intelligence Index, with strong performance on agentic knowledge work tasks. We evaluated the new model at xhigh reasoning effort. Congratulations to @SpaceXAI and @ElonMusk on the release! Key takeaways: ➤ Grok 4.7 joins the frontier of agentic knowledge work: Grok 4.7 gains +111 Elo over Grok 4.6 (high) on AA-Briefcase, our private benchmark for long-horizon agentic knowledge work, scoring 1657 Elo and placing it alongside Claude Opus 5 and Claude Fable 5.1 at the frontier. On GDPval-AA, it scores 1695 Elo, +90 ahead of Grok 4.6 (high). ➤ A leap in coding agent performance: Grok 4.7 (xhigh) with Grok Build scores 56 on the Artificial Analysis Coding Agent Index, up +9 points from Grok 4.6 (xhigh). Among models in their native harnesses, Grok 4.7 + Grok Build now ranks 4th, behind only Claude Fable 5.1, GPT-6 Astra, and Claude Opus 5. ➤ Incremental performance changes elsewhere: Outside of agentic knowledge work, Grok 4.7 broadly matches Grok 4.6 (high) on the other Intelligence Index tasks. It improves on Terminal-Bench 4.0 (+4.5 percentage points) and GDP.pdf (+3.0 p.p.), with regressions on AA-LCR (-3.7 p.p.) and AutomationBench-AA (-1.1 p.p.). ➤ High token use across tasks: Grok 4.7's gains come with higher token usage. Grok 4.7 (xhigh) uses approximately 81k output tokens per Intelligence Index task, compared with 36k for Grok 4.6 (high) and 27k for GPT-6 Astra (max) - 125% and 196% more, respectively. Other model details: ➤ Context window of 500k tokens, unchanged from Grok 4.6 ➤ Pricing of $2/$6 per 1M input/output tokens with cache hits discounted to $0.50 per 1M tokens, matching Grok 4.6 ➤ Configurable reasoning effort spans low to xhigh. Our evaluation uses xhigh.
@rohanpaul_ai@rohanpaul_aiAI 评分22 @rohanpaul_ai@rohanpaul_aiAI 评分3333 

Sundar Pichai@sundarpichaiAI 评分4444
引用Sameer Samat@ssamatGooglebook is officially here! I’ve been so excited to share the details with the world. Today, many of us rely heavily on laptops to get work done, but we think there is an opportunity to rethink the category to address the needs of people today. So we brought the best of ChromeOS and Android to create a new platform for laptops. Our initial focus with Googlebook is to deliver an amazing laptop that feels awesome for Android phone users. Here’s what to know about Googlebook 🧵👇
@ClementDelangue@ClementDelangueAI 评分77 据 @julien_c(https://t.co/OihGaAaPBf),你可以在以下地址找到适用于 Jev 任务的开源模型:https://t.co/bkiqoGrkv8
@ArtificialAnlys@ArtificialAnlysAI 评分77 @ArtificialAnlys@ArtificialAnlysAI 评分2525 Grok 4.7(xhigh)的完整 Intelligence Index 评测拆解,同时对比 Grok 4.6(high)及其他领先模型。https://t.co/5Yaq72qNZN

@ArtificialAnlys@ArtificialAnlysAI 评分3232 
@ArtificialAnlys@ArtificialAnlysAI 评分3737 
@ArtificialAnlys@ArtificialAnlysAI 评分4545 
@ArtificialAnlys@ArtificialAnlysAI 评分4444 
@ArtificialAnlys@ArtificialAnlysAI 评分5959 
@ArtificialAnlys@ArtificialAnlysAI 评分6262 