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8月13日周四
  1. Elon Musk41

    不错 (引用 @dhh:我让 @spacexai Grok 4.6 按照 Fable 的方案执行,仅需几次微调,就在 1 小时 24 分钟内用 860 万 token 完成了同样的任务,按 token 计价成本约 55 美元,约为 Fable 实现成本的 1/10。)

    引用DHH@dhh

    I had @spacexai Grok 4.6 follow Fable's plan, and with just a couple of nudges, it was able to repeat this feat in 1h 24m using 8.6M tokens at a cost of ~$55 at per-token pricing. That's about 1/10 the cost of the Fable implementation for the same work!

  2. Elon Musk36

    Grok 4.6 在 @databricks 上排名第一。

    引用Ivan Zhou@ivanzhouyq

    We worked with @SpaceXAI to evaluate Grok 4.6 on the latest OfficeQA Pro V2 from @DbrxMosaicAI. It achieves the SOTA performance with @databricks's Genie harness! The model is strongest on our document understanding and data reasoning tasks, and it is a very efficient driver!

  3. Rohan Paul38

    26款商用大模型每百万token混合成本对比显示,Grok 4.6在Fable 5智能指数得分61分,仅比Claude Fable 5 Max的62分低1.6%,但输入token成本低80%($2 vs $10/M),输出token成本低88%($6 vs $50/M),成为智能-价格比最优选择。

    引用Rohan Paul@rohanpaul_ai

    Grok 4.6 gets 98.4% of Fable 5's Intelligence Index score at a fraction of its API price. 5X cheaper on input tokens and 8X less for output tokens vs Fable 5. Looks clearly the strongest intelligence-per-dollar equation. Grok 4.6 scores 61 versus Claude Fable 5 Max's 62, just a 1-point or 1.6% relative gap on that composite score, while Grok costs 80% less on input tokens ($2 vs $10/M) and 88% less on output tokens ($6 vs $50/M).

  4. Elon Musk27

    试试 Grok @Bot [引用 @yunta_tsai]:Grok Bot 能够 a) 浏览日历,找出我尚未完成但需要提前预订的事项,b) 确定最佳预订时间,c) 在网站上完成预订操作。 在我走到车前穿过停车场时,我正用中英混合的语言与它对话。 印象深刻。

    引用Yun-Ta Tsai@yunta_tsai

    Grok Bot was able to a) go through the calendars and find out anything I need to make reservations for beforehand that I haven’t done yet, b) determine the best time to make reservations, and c) navigate the reservations on a website. While I was walking in the parking lot before getting to my cars, I was talking to it in mixed Chinese and English. Color me impressed.

  5. Unsloth AI58

    Unsloth 发布 NVIDIA Nemotron 3.5 Lightning 的 2-bit 量化版,在仅 22GB 显存上不间断运行工具调用 10 分钟,引用 80 多个网页、执行代码并搜索 10 个真实地点。

    引用NVIDIA AI@NVIDIAAI

    Introducing NVIDIA Nemotron 3.5 Lightning⚡ An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster. It delivers up to 4x the output speed of similar-sized models.

  6. Elon Musk36

    xAI 的 Grok 4.6 在 Artificial Analysis 智能指数上得分 61,与 GPT-5.6 Sol 并列前沿,仅次于 Anthropic 的 Claude 系列。其智能体性能突出,GDPval-AA v2 Elo 达 1753,定价维持 $2/$6 每百万 token,较 Claude Opus 5 和 GPT-5.6 Sol 低 60% 以上,位居智能与成本帕累托前沿。

    引用Artificial Analysis@ArtificialAnlys

    SpaceXAI's Grok 4.6 scores 61 on the Artificial Analysis Intelligence Index, joining the frontier in line with GPT-5.6 Sol, with standout agentic performance at lower cost Grok 4.6 gains 5 points over Grok 4.5 on the Intelligence Index just over one month after its release, or +23 points compared to Grok 4.3. This brings SpaceXAI back to the intelligence frontier alongside OpenAI, behind only Anthropic. Key takeaways: ➤ Grok 4.6 joins the frontier of the Artificial Analysis Intelligence Index: It scores 61, in line with GPT-5.6 Sol (max), behind Claude Opus 5 (max, 63) and Claude Fable 5 (max with fallback, 62), and just ahead of Kimi K3 ➤ Strong agentic performance: Grok 4.6 achieves a GDPval-AA v2 Elo of 1753, behind only Claude Opus 5 and with overlapping confidence intervals with Claude Fable 5 and Qwen3.8 Max. It scores 50.7% on 𝜏³-Banking, among the top two scores alongside Qwen3.8 Max (51.3%), and 88.4% on Terminal-Bench v2.1, in line with the leading models ➤ Frontier-level intelligence at lower cost: Headline pricing is unchanged from Grok 4.5 at $2/$6 per 1M input/output tokens, 60%+ below Claude Opus 5 ($5/$25) and GPT-5.6 Sol ($5/$30). It cost $0.84 per task, the same as Kimi K3 with slightly higher intelligence, placing it on the Intelligence vs. Cost per Task Pareto frontier ➤ Grok 4.6 sits at Fable 5-tier on AA-Briefcase, our private benchmark of long-horizon agentic knowledge work tasks, with an Elo of 1577 - behind the Claude Opus 5 family. It is notably turn-efficient, completing tasks in ~53 turns and ~0.5B input tokens on average vs. ~103 turns and ~2.0B input tokens for Claude Opus 5 (max) Other model details: ➤ Context window of 500k tokens (unchanged from Grok 4.5) ➤ Pricing of $2/$6 per 1M tokens of input/output; cache hits discounted to $0.5 per 1M tokens, an increase over Grok 4.5’s $0.3 per 1M tokens for cache hits Congratulations to @SpaceXAI and @elonmusk on the release!

8月12日周三
  1. Elon Musk34

    Grok 4.6 达到 1753 ELO

    引用DogeDesigner@cb_doge

    BREAKING: Grok 4.6 takes the #1 spot on the GDPVal-AA benchmark 🏆 • Grok 4.6 — 1,753 Elo • Fable 5 Max — 1,741 • GPT-5.6 Sol Max — 1,728 • Grok 4.5 High — 1,526

  2. Elon Musk37

    Elon Musk 转发介绍 Grok Build 的交互式学习方式:在终端输入 /tour 或 /tutorial,即可逐步学习首次提示、附件、斜杠命令、Worktrees、Plan Mode 等全部功能。该工具还支持从 Claude、Cursor 或 Codex 迁移设置、规则和技能,降低切换成本。

    引用X Freeze@XFreeze

    Grok Build has a really nice way to learn the entire tool without ever leaving the terminal Just type /tour or /tutorial, and Grok Build walks you through everything step by step It covers: • Your first prompt • Attaching files, images & screenshots • Navigation • Slash commands • Parallel work with Worktrees • Plan Mode & permissions • AGENTS.md, memory & themes • Guides, feedback & best practices It even makes switching from Claude, Cursor, or Codex easier, with support for carrying over your settings, rules, and skills Instead of opening a massive documentation page and trying to figure everything out yourself, you can learn Grok Build interactively while actually using it If you're new to Grok Build, just start with /tour

  3. Elon Musk21

    马斯克称 Grok Build 功能极其强大,并分享实测:将 SpaceX 视频音量提升 +20 dB,含音频分析、压缩与限制处理及视频重编码,全程仅 25 秒。对比手动操作需 10-20 分钟,用户仅需用自然语言描述需求即可完成。

    引用X Freeze@XFreeze

    SpaceX’s recent video volume was a little low, so I just gave it to Grok Build and asked it to increase the volume by +10 dB Grok analyzed the audio, boosted it, added soft compression + limiting to keep everything under control, and gave me the finished video Then after seeing the audio levels Grok gave me, I realized there was still room to push it another +10 dB So I literally asked again Grok Build boosted it to +20 dB total, re-encoded the video and handed me the final file And it did the whole thing literally in just 25 seconds 😭 If I were doing this manually, I’d have to open editing software, understand gain, compression and limiting, adjust everything myself and export the video again That could easily take me 10–20 minutes With Grok Build, I just explained what I wanted in plain English and it handled everything for me

  4. Elon Musk26

    Grok Bot [引用 @farzyness]:这是我的 Grok Bot 团队: - Webby:网页设计师 - Shotry:短视频内容创作者 - Writey:文章/通讯稿写手 - Claude Code:专精 CC 的 Grok 智能体 - Codex:同上,但专精 CODEX - Script:YouTube 脚本写手 - Idea:视频/内容创意生成 - Master:整个团队的编排者 搭建这些并让它们跑起来非常容易。看看效果如何!

    引用Farzad 🇺🇸 🇮🇷@farzyness

    Here's my Grok Bot team: - Webby: Web designer - Shotry: Short-form content creator - Writey: Article/Newsletter writer - Claude Code: Grok agent that specializes in CC - Codex: Same as the above but for CODEX - Script: YT Scriptwriter - Idea: Idea generation for videos/content - Master: Orchestrator for the whole team SUPER easy to spin these up and get them working. Let's see how this goes!

  5. dex33

    开发者 @avgvstvs96 编写了一个带脚本的 GitHub 技能,让智能体更高效地使用 GitHub。该技能将 `pr view --json` 的 3-5 次调用压缩为一次 `pr-snapshot`,用 `pr-threads` 替代 15 行 GraphQL 查询,并让 `ci-failures` 将错误片段放入上下文、完整日志本地保存供智能体检索。

    引用bassim@avgvstvs96

    i wrote a skill (w/ scripts) to optimize how agents use github > faster and more context efficient > pr-snapshot: one call instead of the 3-5 call `pr view --json` loop > pr-threads: one call instead of the 15-line graphql query agents keep retyping > ci-failures: error snippet in context, full log saved locally for the agent to grep built from analyses of 7 months of logs and 1800+ gh calls (before CC dropped an update that nuked all sessions older than 30d - thanks @ClaudeDevs). link in replies 👇

  6. MiniMax (official)54

    MiniMax 官方转发演示:用 DeepSeek V4 Flash 0731 编写 Three.js 场景,再交由 H3 生成视频,48 分钟、单次生成仅花费 1.97 美元,即可完成一镜到底的游戏射击场景。该工作流比反复重roll视频模型便宜得多,被视为更经济高效的 Seedance 2.5 替代方案。

    引用GMI Cloud@gmi_cloud

    you don't need Seedance 2.5, here's cheaper and more efficient workflow we made this entire game shooting scene in one shot for $1.97 with DeepSeek V4 Flash 0731 + MiniMax H3 we use DeepSeek to code the raw Three.js scene first: exact camera movement, character motion, timing, everything. keep tweaking it there for basically pennies. then feed the final footage into H3 and let it cook the realism 48 mins, $1.97 total, one H3 generation way cheaper than rerolling a video model 10 times

  7. Elon Musk24

    你可以用 Grok Imagine 自制蒸汽朋克电影。

    引用Déborah@dvorahfr

    The word "steampunk" was coined in April 1987 by American science fiction writer K. W. Jeter. He proposed it jokingly in a letter to *Locus* magazine to describe the alternate-history novels set in the 19th century that he was writing alongside his fellow authors Tim Powers and James Blaylock.