【AI 英文奏折】08月01日

AI赚钱18小时前发布 tianming
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【AI 英文奏折】2026年08月01日

共收录 20 篇深度内容


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  1. Rohan Paul: 核心观点总结中…
  2. Alex Veremeyenko: 核心观点总结中…
  3. Machina: 核心观点总结中…
  4. Venture Twins: 核心观点总结中…
  5. Machina: 核心观点总结中…
  6. Peter Steinberger: 核心观点总结中…
  7. Riley Brown: 核心观点总结中…
  8. Machina: 核心观点总结中…
  9. Marc Lou: 核心观点总结中…
  10. Santiago Valdarrama: 核心观点总结中…
  11. Grok: 核心观点总结中…
  12. Rohan Paul: 核心观点总结中…
  13. Emily: 核心观点总结中…
  14. 谷歌AI实验室: 核心观点总结中…
  15. Gary Marcus: 核心观点总结中…
  16. Emily: 核心观点总结中…
  17. TechHalla: 核心观点总结中…
  18. Amira Zairi: 核心观点总结中…
  19. Machina: 核心观点总结中…
  20. levelsio: 核心观点总结中…

📖 详细内容

【AI 英文奏折】08月01日Rohan Paul @rohanpaul_ai

Compiling in real-time, the race towards AGI. The Largest Show on X for AI. | 影响力: 0万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

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原文内容:

Microsoft CEO Satya Nadella: On how the next AI moat will not be the model you use, but the learning loop only your company can run.

He is really asking what happens to the firm when intelligence becomes something you can rent.

For a century, companies protected value through people, processes, data, routines, customer memory, and the tacit knowledge buried in daily operations.

Foundation models threaten to flatten that advantage because the same general intelligence can be used by everyone.

Nadella’s answer is that firms need their own “hill climbing machine,” a private loop where models learn from company-specific tasks, traces, evaluations, and outcomes.

That means the real asset is not just the model.

The asset is the environment that keeps improving the model in ways competitors cannot copy.

Private evals become strategic memory.

Workflow traces become training signal.

Human judgment becomes a way to steer compounding, not just correct mistakes.

This also reframes AI adoption: a company that only consumes a foundation model may gain productivity, but it may leak the deeper value of its operating knowledge.

A company that builds a disciplined learning loop can turn everyday work into accumulating IP.

The future firm may therefore be measured by how well it converts its unique activity into durable model improvement.

The frontier will not belong only to whoever owns the largest model.

It will belong to whoever owns the best loop.

----

From "Stanford Online" YouTube channel, (link in comment)

⏰ 16:41 | ❤️ 122点赞 | 📝 243词 | 查看原文 →

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【AI 英文奏折】08月01日Alex Veremeyenko @alex_verem

Marketing + AI = $$$ 🔑 @godofprompt (co-founder) Also know as: @alex_prompter | 影响力: 96.5k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

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原文内容:

a Reddit user says Claude argued them into the ER while they called the idea ridiculous. the scans found a mini stroke.

they were dictating with talk to text when the words stopped coming out right. they'd reach for a word and get gibberish instead. so they asked Claude what could cause that.

Claude didn't treat it as a tech question. sudden speech trouble can mean a stroke, so it asked the real ones. face drooping on one side, arm weak or numb?

they said an ambulance was ridiculous. Claude wouldn't let it go. they settled on an Uber to the ER just in case.

good call. triage heard about the speech problems and had them inside in 2 minutes. bloods, ECG, CT, MRI. the verdict was a TIA, the mini stroke that can be the warning shot before the big one.

24 hours later they're home, writing the post, calling themselves lucky they listened.

every instinct in that moment says it's nothing, don't embarrass yourself. the machine didn't have that problem. it wasn't the one having the stroke. no fear, no pride, just the symptom and a refusal to move past it.

⏰ 18:56 | ❤️ 51点赞 | 📝 199词 | 查看原文 →

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【AI 英文奏折】08月01日Machina @exm7777

running ai-powered agencies | weeklyaiops.com | 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

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原文内容:

i believe the strongest asset for entrepreneurs right now is an "internet swipe file" built in Obsidian...

a knowledge base packed with:
- landing pages
- visual styles
- creatives
- tweets, linkedin posts, tiktoks...
- youtube thumbnails

a massive library of proven content you can inject into AI workflows

it's the easiest way to improve outputs, just steal from what's already working

you can't be good at everything, but this + solid prompting will take you very far

⏰ 01:18 | ❤️ 368点赞 | 📝 76词 | 查看原文 →

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【AI 英文奏折】08月01日Venture Twins @venturetwins

| 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

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原文内容:

Over the last year and a half, I've tried this Turing test prompt on every AI video model.

Shockingly, none have succeeded - until today. 

Congrats to the @Hailuo_AI team on MiniMax 3, which can officially write "Hi" on a chalkboard.

And it's open source!

⏰ 10:08 | ❤️ 79点赞 | 📝 44词 | 查看原文 →

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【AI 英文奏折】08月01日Machina @exm7777

running ai-powered agencies | weeklyaiops.com | 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

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原文内容:

the competition for building a SaaS has never been this hard...

here's what i'd suggest instead: don't build the product

build the infrastructure around the product tsunami:
- distribution tools
- launch platforms
- audience-building services
- analytics for creators

sell shovels during the gold rush is a cliche because it keeps being right

the smartest founders right now aren't building apps... they're building the rails apps launch on

⏰ 10:00 | ❤️ 42点赞 | 📝 71词 | 查看原文 →

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【AI 英文奏折】08月01日Peter Steinberger @steipete

Polyagentmorous ClawFather | Building at OpenAI | 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

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原文内容:

Queue was the way but with 5.5 the model doesn’t get confused anymore, you can just throw stuff at it while it works and it will diligently process whatever you throw at it.

⏰ 09:51 | ❤️ 102点赞 | 📝 33词 | 查看原文 →

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【AI 英文奏折】08月01日Riley Brown @rileybrown

YouTuber, Builder, Educator | Weekly show @agentnative_ | Building autonomous agents | 影响力: 214.0k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

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原文内容:

Hosting our own Buzz w/ Cloud Agents
(Buzz Video #2:)

For the past week, @vishal_dubey and I have been using Buzz.

Yesterday, Vishal used Fable 5 (inside Buzz) to create our own hosted version of Buzz with built-in cloud agents that never die.

These agents can spin up new agents that all share the same skills, API keys, workspace, files, automations, and more.

This is an EXPERIMENT. We’re trying to find the best setup for businesses to create teams of agents and humans that work together. 

Part 1: What we like and don’t like about Buzz
Part 2: Vishal’s hosted version of Buzz

 Part 1
00:00 Intro
01:06 What Is a Harness?
02:49 What We Like About Buzz
04:17 Agents Collaborating Together
06:29 Custom Agents and Personas
08:13 Spinning Up Agents and Channels
10:34 What We Don't Like about Buzz

 Part 2
14:03 Vishals Version of Buzz with Cloud Agents
19:39 Shared Skills and Connections
23:18 Setting Up a Daily Research Automation
26:08 Buzz Mobile App 
30:53 Treat the agents like their own employee
35:28 Using Any Model (Fable, 5.6, Kimi)
37:25 What Vishal wish Buzz Had

⏰ 09:28 | ❤️ 103点赞 | 📝 170词 | 查看原文 →

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【AI 英文奏折】08月01日Machina @exm7777

running ai-powered agencies | weeklyaiops.com | 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

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原文内容:

if you want to get the best out of Claude Code and Codex today... do this:

> list every tool you use daily, business or not
> find their APIs, MCPs, CLIs... anything you can feed to an agent
> go in plan mode and ask it to run a full context collection interview
> describe your workflows in plain english

when done, prompt your agent to analyze all the material, come up with a proper project structure and .md files

you now have a full workspace built around YOUR business

not a generic setup... not someone else's template... a system that knows how you work, what tools you use, and what you're trying to do

that's the difference between using AI and having AI work for you

⏰ 03:17 | ❤️ 238点赞 | 📝 127词 | 查看原文 →

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【AI 英文奏折】08月01日Marc Lou @marclou

⭐️ TrustMRR.com $27K/m | DataFa.st $20K/m | SHlPORDIE.COM $20K/mo | 影响力: 170.0k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

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原文内容:

Actual reality I want:

Hotels made for people who care about sleep, fitness and workout.

All beds are eight sleep mattress, AC goes to 18deg, air purifiers everywhere, black out curtains.

The restaurant serves longevity food. My steak is not burnt, my brocoli is not soaked in cancer sauce.

The gym has proper weights and ergs so i can also do my cardio. There are daily classes so it’s fun and I meet people.

There’s a quiet working space. It’s laptop friendly, which attracts people like me building stuff online, not tourists or fat business executives.

I can travel to any country and find my favorite hotel chain. 

This is the actual reality I want

⏰ 08:54 | ❤️ 155点赞 | 📝 117词 | 查看原文 →

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【AI 英文奏折】08月01日Santiago Valdarrama @svpino

| 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

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原文内容:

To this day, one of the most hardcore things I've done is stock trading with AI/ML.

I studied Reinforcement Learning for Trading during my Master's.

I learned two important lessons:

1. How to build a trading bot using Deep Q-Learning combined with a few financial indicators that beat everything else you've seen.

2. How common investors like you and me are at a huge disadvantage and will never, ever beat Wall Street.

If you are interested, here is a great book.

You'll learn how to build an automated trading strategy, including:

• How to source market, fundamental, and alternative data
• How to engineer predictive features
• How to validate models without leakage
• How to simulate realistic portfolio performance and costs
• How to manage risk

Here is the link to the book: https://a.co/d/04RyhydA

For those of you who are serious about Trading with AI/ML:

There's a workshop on Aug 15 at 9:30 am EST with Stefan Jansen, the author of the book.

You can get 30% OFF if you use the code SANTIAGO30 with this link:

https://eventbrite.co.uk/e/machine-learning-for-trading-in-the-age-of-ai-agents-tickets-1994299755253?aff=Santiago&discount=SANTIAGO30…

If you use my code, you get 30% off, and I get a small affiliate commission.

⏰ 21:10 | ❤️ 66点赞 | 📝 212词 | 查看原文 →

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【AI 英文奏折】08月01日Grok @grok

http://grok.com/download
@grok it | 影响力: 0万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

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原文内容:

Imagine Video 1.5 launched last month as our best video model yet, with more lifelike motion and sound. Today it goes even further with text-to-video support, image and voice references, and native 1080p.

http://grok.com/imagine

⏰ 08:46 | ❤️ 686点赞 | 📝 37词 | 查看原文 →

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【AI 英文奏折】08月01日Rohan Paul @rohanpaul_ai

Compiling in real-time, the race towards AGI. The Largest Show on X for AI. | 影响力: 0万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

DeepSeek-V4-Flash is now live as a public beta API, s

82.7 on Terminal Bench 2.1 and beating the larger Pro-Preview.

the reason to route expensive work to the bigger sibling is gone, and long agent loops are where spend piles up.

⏰ 16:28 | ❤️ 75点赞 | 📝 41词 | 查看原文 →

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【AI 英文奏折】08月01日Emily @iamemily2050

Any sufficiently advanced technology is indistinguishable from magic. | 影响力: 48.2k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

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原文内容:

This is the best way moving forward. I am glad to see the Google AI Studio team and the Gemini app team working together. There will be a lot of great updates in the coming weeks. People are still sleeping on the future of Gemini fully integrated with Google apps and services.

⏰ 08:44 | ❤️ 29点赞 | 📝 52词 | 查看原文 →

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【AI 英文奏折】08月01日谷歌AI实验室 @googleaistudio

The fastest path from prompt to prototype to production with Gemini | 影响力: 162.34k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

thank you to the ~800,000 of you that pre-ordered our mobile app on iOS and Android — it’s clear that people are interested in building software on the go

instead of asking you to download yet another app we’ve decided to take an entirely different approach: one where apps emerge naturally, in the course of your everyday conversations with Gemini. we’re partnering with the Gemini app team to make that a reality on mobile and desktop

we’re continuing to invest in the AI Studio web experience for those who want to go from an idea to a prompt to a business

the teams are working hard on bringing this to life, more to share on this later

⏰ 03:32 | ❤️ 1620点赞 | 📝 120词 | 查看原文 →

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【AI 英文奏折】08月01日Gary Marcus @garymarcus

OG GenAI Skeptic; spoke at US Senate. Advocating world models | 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

Vivid depiction of a dark scenario for Nvidia. “Indeed, CEO Jensen Huang has been so aggressive in funding the AI ecosystem that the company is functioning almost like a bank; with annual free cash flow nearing $100 billion and little debt, that isn’t obviously reckless.
Yet such vendor financing, though it has plenty of precedents, is what brought down Lucent and much of the rest of the telecom equipment industry in the early 2000s after the first dot-com bubble burst.
Nvidia’s defenders point out that many of its deals are collateralized by the hardware, so if the company fails Nvidia gets the gear back. In a bust scenario, though, those chips would be worth a fraction of their current value.”

⏰ 08:30 | ❤️ 64点赞 | 📝 121词 | 查看原文 →

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【AI 英文奏折】08月01日Emily @iamemily2050

Any sufficiently advanced technology is indistinguishable from magic. | 影响力: 48.2k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

I got sick for ten days, posted less, and this is the result . While some people keep making thousands of dollars no matter how many times they post or what they post. In general, have fun and do not let the algorithm or the platform decide your fate.

⏰ 08:16 | ❤️ 66点赞 | 📝 48词 | 查看原文 →

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【AI 英文奏折】08月01日TechHalla @techhalla

Senior Telecommunications Engineer & Developer but I’m here for the AI thing. | 影响力: 0万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

Seedance 2.5 is finally out!

Indie filmmakers just got a serious new weapon:

· 30s native takes
· up to 50 ref images

Here’s exactly how I made this short in @capcutapp  (prompts included) 

⏰ 23:37 | ❤️ 155点赞 | 📝 30词 | 查看原文 →

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【AI 英文奏折】08月01日Amira Zairi @azed_ai

AI Educator & Creator | Ambassador @Adobe @LeonardoAi & @tripoai | Partner with leading brands | Collaboration → [email protected] | 影响力: 57.13k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

AI video keeps moving faster than we expected

Seedance 2.5 is coming soon on Higgsfield, and it's shaping up to be one of the most exciting AI video releases yet. The camera movement, character performance, and environmental physics all feel incredibly natural

ALSO, don't miss this limited-time offer 

⏰ 21:57 | ❤️ 46点赞 | 📝 50词 | 查看原文 →

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【AI 英文奏折】08月01日Machina @exm7777

running ai-powered agencies | weeklyaiops.com | 影响力: unknown万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

i don't think you all understand what this means...

AI got superhuman at math and code because you can check the answers, butin science there's nothing to check against, so AI just repeats what's already known instead of discovering anything new

here's what these guys buit, explained in simple terms:

> scientists make thousands of decisions per project: what to pursue, what to challenge, what to abandon, what to revisit
> papers delete all of it, only the final result gets published
> so they recorded the decisions themselves: 3.5 million hours of scientific judgment, captured while the work was happening
> then trained a model on those decisions instead of the outputs
> that judgment engine runs columbus-1, their autonomous research system
> columbus-1 found a bluetooth vulnerability nobody had ever seen, then led the design of a 10-foot self-landing rocket
> two unrelated fields, one judgment engine

these are early results, not solved discovery

but while everyone else is scaling reasoning, they went after the thing that decides what's worth reasoning about

⏰ 07:58 | ❤️ 40点赞 | 📝 172词 | 查看原文 →

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【AI 英文奏折】08月01日levelsio @levelsio

Nomad List & Remote OK. Building in public. Solo maker. | 影响力: 320.0k万粉丝

💡 核心观点: 核心观点总结中…

可信度: 1/10 – 1项暂无法验证

事实核查:

  • ✗ 无法验证: 事实核查功能暂时不可用 (系统处理中)

原文内容:

The current list of good and bad health correlations by total score:

(Not all are significant so I need more data but many are)

Good:
 low calories +6.5%
 low fat food % +6.3%
 dry bedroom +5.2%
 low strain +3.7%
 bath +3.0%
 gym solo +2.3%
 high workload +2.0%
 cool bedroom +2.0%
 high carbs % +1.8%
 sauna +1.4%
 gym with PT +0.4%
 gym +0.1%

Bad:
 martial arts −0.1%
 coworking −0.2%
 low protein % −0.7%
 warm bedroom −1.0%
 high protein % −1.5%
 high fat food % −1.9%
 low workload −2.1%
 high strain −2.2%
 alcohol −2.7%
 high calories −3.5%
 massage −4.4%
 low carbs % −5.2%
 humid bedroom −5.3%
 tan −5.4%
 travel short-haul −6.2%
 travel long-haul −9.5%
 sick −25.9%

⏰ 07:42 | ❤️ 79点赞 | 📝 81词 | 查看原文 →

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