Sam

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Sam

Sam

@Supersam331

Indie hacker building @eveoky_vibes app store: https://t.co/WRYCeIau0j website: https://t.co/DWuOBWUHRl personal site: https://t.co/7ETTgTwvtt

Katılım Mayıs 2012
489 Takip Edilen57 Takipçiler
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Mario Nawfal
Mario Nawfal@MarioNawfal·
🚨MIT researchers have mathematically proven that ChatGPT’s built-in sycophancy creates a phenomenon they call “delusional spiraling.” You ask it something, it agrees. You ask again, and it agrees even harder until you end up believing things that are flat-out false and you can’t tell it’s happening. The model is literally trained on human feedback that rewards agreement. Real-world fallout includes one man who spent 300 hours convinced he invented a world-changing math formula, and a UCSF psychiatrist who hospitalized 12 patients for chatbot-linked psychosis in a single year. Source: @heynavtoor
Mario Nawfal tweet mediaMario Nawfal tweet media
Mario Nawfal@MarioNawfal

🚨 Stanford just proved that a single conversation with ChatGPT can change your political beliefs. 76,977 people. 19 AI models. 707 political issues. One conversation with GPT-4o moved political opinions by 12 percentage points on average. Among people who actively disagreed, 26 points. In 9 minutes. With 40% of that change still present a month later. The scariest finding: the most persuasive technique wasn't psychological profiling or emotional manipulation. It was just information. Lots of it. Delivered with confidence. Here's the catch: the models that deployed the most information were also the least accurate. More persuasive. More wrong. Every time. Then they built a tiny open-source model on a laptop, trained specifically for political persuasion. It matched GPT-4o's persuasive power entirely. Anyone can build this. Any government. Any corporation. Any extremist group with $500 and an agenda. The information didn't have to be true. It just had to be overwhelming. Arxiv, Science .org, Stanford, @elonmusk, @ihtesham2005

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Sam
Sam@Supersam331·
is claude down?
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Andrew Ng
Andrew Ng@AndrewYNg·
Should there be a Stack Overflow for AI coding agents to share learnings with each other? Last week I announced Context Hub (chub), an open CLI tool that gives coding agents up-to-date API documentation. Since then, our GitHub repo has gained over 6K stars, and we've scaled from under 100 to over 1000 API documents, thanks to community contributions and a new agentic document writer. Thank you to everyone supporting Context Hub! OpenClaw and Moltbook showed that agents can use social media built for them to share information. In our new chub release, agents can share feedback on documentation — what worked, what didn't, what's missing. This feedback helps refine the docs for everyone, with safeguards for privacy and security. We're still early in building this out. You can find details and configuration options in the GitHub repo. Install chub as follows, and prompt your coding agent to use it: npm install -g @aisuite/chub GitHub: github.com/andrewyng/cont…
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Sam
Sam@Supersam331·
Here's another perspective from my last post. In 1865, steam engines got more efficient. Britain didn't use less coal, it used MORE! They call it Jevons Paradox, and it's happening with AI right now. One side: AI lets 12 people at xAI do what used to take hundreds. Twitter lost 80% of staff and kept running. Other side: every wave of tech has created MORE work, not less. ATMs didn't kill bank tellers, they made branches cheaper, so banks opened more, and teller jobs actually grew. The truth? Both are real. AI eliminates roles AND creates new ones we can't imagine yet. The difference is which side of the wave you're on.
Sam@Supersam331

Technology's biggest paradox: every advance creates MORE work — new compliance, new processes, new systems that didn't exist before. But it also means tiny teams can do what armies once did. xAI started with just 12 people. Twitter went from 7,500 → 1,500 and kept running. The bloat was never necessary. AI is about to prove it.

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Sam
Sam@Supersam331·
Technology's biggest paradox: every advance creates MORE work — new compliance, new processes, new systems that didn't exist before. But it also means tiny teams can do what armies once did. xAI started with just 12 people. Twitter went from 7,500 → 1,500 and kept running. The bloat was never necessary. AI is about to prove it.
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Ahmad
Ahmad@TheAhmadOsman·
Dario and Anthropic are internet clowns now
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Sam@Supersam331·
Dan Koe tells you to pick a 1-month project that moves you toward your vision. But he buries the most important part in a different article: The project doesn't have to be a product. The project can be posting. Sharing what you're learning IS the work. Not a warm-up to it. Not marketing for it. The actual thing.
DAN KOE@thedankoe

x.com/i/article/2010…

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Sam
Sam@Supersam331·
Most people think they need to build something before they can start sharing. That's backwards. The sharing IS the building. You don't need a product, a business, or a finished idea first. A project can be posting. Each post: → Forces you to clarify what you actually think → Builds a public record of your growth → Attracts people who think like you → Shows you what to build next The audience isn't the reward at the end. It's the feedback loop from day one. You're not waiting until you're ready. You're ready when you start.
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Sam
Sam@Supersam331·
@yangyi 参与
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Yangyi
Yangyi@yangyi·
今天初一,牛马AI如约而至,开启第一波内测 为了限制一下内测范围,点赞转发本推文,评论“参与” 我会逐一给大家发DM邀请内测群,记得查收推特私信 感谢每位愿意参与内测给反馈的朋友们🫶
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Sam
Sam@Supersam331·
@yangyi 哇期待测试一下
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Yangyi
Yangyi@yangyi·
数据完全本地,安全无泄露,免费,自己填上Key就能用 这两天发出mac版 让AI当牛马 我们做人
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Sam
Sam@Supersam331·
@wangrdotcom Saw lots of post teaching ppl making big money, do you think those are mostly hoax and not reproducible?
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wangr
wangr@wangrdotcom·
Made a bot on polymarket, first one 8x in one night. Not huge money, because we play modest and that's not my kind of thing and it's more for the math.
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Sam
Sam@Supersam331·
@eze_is_1 没毛病啊,最低权限管理哈哈哈
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一泽Eze
一泽Eze@eze_is_1·
今日最好笑的 openclaw 梗
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Sam
Sam@Supersam331·
@naval @grok what does it mean exactly?
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Naval
Naval@naval·
People who don’t organize into tribes get wiped out by people who do.
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