AI Daily Digest - Naval AI List - 2026年04月10日
每日精选 Naval AI List 推文，聚焦人工智能、机器学习和技术趋势。
统计概览
- 总推文数: 30
- 24小时内推文: 30
- 精选推文数: 13
- 筛选比例: 43.3%
1. @Teknium
原文链接: https://x.com/Teknium/status/2042396576245825543
作者: Teknium (e/λ) (@Teknium)
互动数据: ❤️ 23 | 🔄 1 | 👁️ 615
原文内容
Even anthropic is copying from us now, we must be doing something right!
3 days ago we added notify when done, so the agent does not have to poll the background process(es) that it spawns, and instead when it finishes it can queue up a new message for the agent. Work on other https://t.co/YOXaosY8bc
📎 引用推文 - @noahzweben
Thrilled to announce the Monitor tool which lets Claude create background scripts that wake the agent up when needed.
Big token saver and great way to move away from polling in the agent loop
Claude can now:
- Follow logs for errors
- Poll PRs via script
- and more! https://t.co/eflixzi0xk
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2. @PaulGugAI
原文链接: https://x.com/PaulGugAI/status/2042379885042417947
作者: GooGZ AI (@PaulGugAI)
互动数据: ❤️ 15 | 🔄 1 | 👁️ 876
转发自: @Teknium
原文内容
In today’s episode of ‘Hermes Agent, One-shot’ - I pointed it to the doco on the Nous website for Camofox and simply said ‘can you set this up on my server including the pre-requisites?’ and copy-pasted the link.
So armed with Minimax 2.7 highspeed, it took around 5-10 min (my
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3. @gneubig
原文链接: https://x.com/gneubig/status/2042218039626674450
作者: Graham Neubig (@gneubig)
互动数据: ❤️ 102 | 🔄 20 | 👁️ 6,025
转发自: @lateinteraction
原文内容
Everyone’s talking about Anthropic’s new model discovering new security vulnerabilities.
What people aren’t talking about is the millions of KNOWN vulnerabilities remaining unfixed due to lack time, interest, etc.
e.g. OpenClaw has 67 CVEs right now, including 4 critical ones. https://t.co/HZ1FaiD1hb
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4. @Teknium
原文链接: https://x.com/Teknium/status/2042393673510633639
作者: Teknium (e/λ) (@Teknium)
互动数据: ❤️ 19 | 🔄 0 | 👁️ 977
原文内容
We now use the new Google Workspace CLI as our built in Google Workspace skill, much more comprehensive capabilities for all!
📎 引用推文 - @spideystreet
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5. @WillManidis
原文链接: https://x.com/WillManidis/status/2042379298057617610
作者: Will Manidis (@WillManidis)
互动数据: ❤️ 127 | 🔄 7 | 👁️ 10,789
转发自: @jon_stokes
原文内容
Built a website to help track state level data center bans and moratoriums
https://t.co/mPzQpuQ0mw https://t.co/XH5av90rJZ
📎 引用推文 - @WillManidis
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6. @BenjaminBadejo
原文链接: https://x.com/BenjaminBadejo/status/2042157738759725468
作者: Ben Badejo (@BenjaminBadejo)
互动数据: ❤️ 76 | 🔄 2 | 👁️ 6,314
转发自: @Teknium
原文内容
Hermes is good. There, I said it. It really pulled off something amazing for me, with the same model - GPT 5.4 - that I use in OpenClaw. They are different tools with different strengths, but they are both good. Hermes just relentlessly pursues a project build. It isn’t fast —
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7. @kanjun
原文链接: https://x.com/kanjun/status/2042271831705444357
作者: Kanjun 🐙 (@kanjun)
互动数据: ❤️ 623 | 🔄 74 | 👁️ 60,669
转发自: @jeremyphoward
原文内容
Twitter’s algorithm is optimized for addiction, not for us. We deserve better.
We’re releasing Bouncer today so you can take back control of your feed. Describe what you don’t want, and Bouncer removes it.
It’s free, doesn’t collect your data, and will be open source soon. https://t.co/fSUxGdmUcS
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8. @menhguin
原文链接: https://x.com/menhguin/status/2042342453169308150
作者: Minh Nhat Nguyen (@menhguin)
互动数据: ❤️ 248 | 🔄 8 | 👁️ 33,183
原文内容
fyi, nowadays im busy so i just have openclaw automations+deep research tracking @zephyr_z9 and @aleabitoreddit for new positions.
up about ~60% YTD mostly from existing positions:
memory stocks, intel calls, palantir puts, zai and minimax shares all of which are up ~100-200%.
📎 引用推文 - @menhguin
Leopold’s having fun, so here’s my AI Safety twink portfolio. Total 1-year return: +892%.
Criteria: Product advances human civilisation + good team.
50% Oklo (+1700%)
45% Tesla (+87%)
5% Nvidia (+55%) https://t.co/y5I2XU4wnb
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9. @charliermarsh
原文链接: https://x.com/charliermarsh/status/2042053725183762939
作者: Charlie Marsh (@charliermarsh)
互动数据: ❤️ 2880 | 🔄 173 | 👁️ 117,547
转发自: @jeremyphoward
原文内容
Tragically I am continuing to find that the most effective guardrail against slop is extremely talented engineers doing very thoughtful, human code review
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10. @fchollet
原文链接: https://x.com/fchollet/status/2042379471639179766
作者: François Chollet (@fchollet)
互动数据: ❤️ 116 | 🔄 11 | 👁️ 8,647
原文内容
We should view the history of physics as a long-running program synthesis task. Kepler and Newton were searching the space of possible symbolic models to find the simplest one that would best satisfy available observations.
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11. @karpathy
原文链接: https://x.com/karpathy/status/2042334451611693415
作者: Andrej Karpathy (@karpathy)
互动数据: ❤️ 7091 | 🔄 798 | 👁️ 692,034
原文内容
Judging by my tl there is a growing gap in understanding of AI capability.
The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is
📎 引用推文 - @staysaasy
The degree to which you are awed by AI is perfectly correlated with how much you use AI to code.
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12. @brhydon
原文链接: https://x.com/brhydon/status/2042342164022378502
作者: Brydon Eastman (@brhydon)
互动数据: ❤️ 49 | 🔄 3 | 👁️ 3,992
转发自: @cHHillee
原文内容
I know it’s self serving to say, but man I would’ve killed for a resource like Tinker and the tutorials, the cookbook, etc back when I was in undergrad.
Following @karpathy blogs and training RNNs on a crappy Acer was fun, but doing bigger things with less setup is such a boon
📎 引用推文 - @tinkerapi
First, to get you started, we’ve created 23 tutorials to walk you from the API basics to advanced training techniques and deploying models into production.
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13. @victoriakimse
原文链接: https://x.com/victoriakimse/status/2042371394760294522
作者: vic (@victoriakimse)
互动数据: ❤️ 10 | 🔄 1 | 👁️ 2,712
转发自: @amasad
原文内容
Small but delightful ships 🛶 for Replit’s mobile app…
Larger touch targets & less noise around actions that matter the most 🕺🏻
So much more to come… @ink_404 https://t.co/g8kCppPV7d
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关于本摘要
本摘要来自 Naval AI List 的每日精选推文，由 AI 自动筛选和整理。
筛选标准:
- 技术深度：新的方法论、工具使用技巧
- 实用性：可立即应用到工作流
- 时效性：24小时内发布
- 独特性：观点新颖非泛泛而谈
- 可操作性：提供具体步骤或工具
最后更新: 2026-04-10 00:27 UTC
