Edward Li

tech guy

[0x鸣人 @LuBtc888]

如果你还在用剪映手动剪辑视频？

不好意思，你又要被淘汰了。

现在只需要给Codex装上HyperFrames插件，直接敲指令就能一键生成成片MP4。

普通人做短视频直接提速十倍，还能批量产出，就连HTML页面也能一键转成专业质感视频。

装好插件、下达指令，全程自动出片，一个人就能撑起一家MCN，真的是碉堡了。

[Tom Dörr @tom_doerr]

CFA-level financial intelligence platform

https://t.co/3YkbN975vH

[Alex Veremeyenko @alex_verem]

🚨 Holy shit… Stanford just exposed that every major AI company is using your private conversations to train their models by default.

They analyzed the privacy policies of OpenAI, Google, Meta, Anthropic, Microsoft, and Amazon. Reviewed 28 separate documents across all 6 companies. The findings are worrisome.

Every prompt you type. Every file you upload. Every personal detail you share. All of it feeds directly into model training the moment you hit send.
That health question you asked

ChatGPT at 2am? Training data.

Legal situation you described to Claude? Training data.

The photo you uploaded to Gemini? Training data.

Some companies retain your conversations INDEFINITELY. Amazon, Meta, and OpenAI have no confirmed deletion timeline for certain chat data. Your most private conversations could sit on their servers forever.

It gets worse for kids. Four out of six companies allow children aged 13-18 to use their chatbots, and most don’t treat children’s data any differently. Kids’ conversations are likely getting fed into model training by default. Kids who can’t legally consent to it.

Here’s something most people missed: enterprise customers are opted OUT of training by default. You, the consumer paying $20/month? Opted IN. Companies paying thousands?

Protected automatically. There’s a two-tiered privacy system and you’re on the wrong side of it.

OpenAI even frames the opt-in with guilt. Their settings page says “Improve the model for everyone.” Stanford’s researchers flagged this as a textbook dark pattern designed to make you feel bad for protecting your own data.

Meta’s contractors told reporters they routinely see identifiable personal information in the chat data they review. Journalists were able to positively identify at least one real person from chat transcripts shared with them.

The privacy policies themselves? Stanford had to dig through 6 separate documents just for OpenAI alone. Most real disclosures were buried in sub-policies no normal person would ever find. The researchers said it was challenging for THEM to piece it together. For consumers? “Practically impossible.”

Only Microsoft explicitly stated they try to remove personal data like names, phone numbers, and addresses before training.

The rest are either vague about it or completely silent.

[Noisy @noisyb0y1]

https://t.co/ACS9ZfhqIn

[AI Edge @aiedge_]

https://t.co/5e2QFOPn1X

[Charly Wargnier @DataChaz]

PowerPoint is officially dead.

With Gemini Pro 3.1, anyone can now design breathtaking slide decks in seconds 🤯

Steal the prompt below 🧵↓

[Tim Cook @tim_cook]

Steve was an incredible leader, innovator, and friend whose world-changing ideas moved all of us forward.

Celebrating his remarkable life and legacy today, on his birthday.

[Edward Li @edwardpku]

@wealthmatica Great!

[Edward Li @edwardpku]

I was doing things opposite recently developing AI agent, I define test cases for AI agent and ask codex to develop the AI agent, codex will work on agent implementation and iteration util all test cases passed, which is codex loop ->AI agent loop

[Elvis @elvissun]

https://t.co/DotZ3V6XhJ

[Quant Science @quantscience_]

OpenBB: A free alternative to the $20,000 Bloomberg Terminal

Available 100% free on GitHub:

[Muratcan Koylan @muratcan]

https://t.co/7kZ0k7nbxI

[Srishti @srishticodes]

This 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file will make you 10x engineer 👇

It combines all the best practices shared by Claude Code creator:

Boris Cherny (creator of Claude Code at Anthropic) shared on X internal best practices and workflows he and his team actually use with Claude Code daily. Someone turned those threads into a structured 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 you can drop into any project.

It includes:
• Workflow orchestration
• Subagent strategy
• Self-improvement loop
• Verification before done
• Autonomous bug fixing
• Core principles

This is a compounding system. Every correction you make gets captured as a rule. Over time, Claude's mistake rate drops because it learns from your feedback.

If you build with AI daily, this will save you a lot of time.

[Sam Altman @sama]

Codex weekly users have more than tripled since the beginning of the year!

[Edward Li @edwardpku]

@wealthmatica I bought $ZETA recently as I understand the 1p data match and networking effects here. But the 550million profiles is not a lot, I would like to know if they share the numbers periodically

[Alex Veremeyenko @alex_verem]

OpenAI and Anthropic engineers leaked these prompt techniques in internal docs.

I've been using insider knowledge from actual AI engineers for 5 months.

These 8 patterns increased my output quality by 200%.

Here's what they don't want you to know: 👇

[vitalik.eth @VitalikButerin]

Travel time ~= distance ^ 0.6

https://t.co/lad0MTrd9D

[Kenneth Chan @iamkennethchan]

The Post, #Amazon's new Vancouver expansion corporate office, is now nearing completion.

The outdoor flood lights really make the heritage and contemporary architectural features pop out. #vanre #vancre 1/3

https://t.co/89lvDx7gma

[Carnatal @blyurnetwork]

🎉 Airdrop Alert 🎉

To celebrate the launch of the season 2, we're giving away 1,000,000 $BLUR tokens to our users!

Connect your wallet on our site to receive your share of the airdrop: https://t.co/HiBLgs5Qud

#BLUR #NFTs #airdrop

[Edward Li @edwardpku]

@TrustWallet @ParisBlockWeek seems $BLUR is not in the trust wallet token list.