Elle-pha

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Elle-pha

Elle-pha

@ellepha_

Investing @digistrats_com | Launched @TuesDAOeth

Katılım Temmuz 2021
1.9K Takip Edilen807 Takipçiler
Elle-pha
Elle-pha@ellepha_·
@sandraleow Oh this is clever. I scraped the YouTube channels and built some playbooks/guides but skills are much more clever
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Sandra
Sandra@sandraleow·
built a podcast -> skills website transcribed AI podcasts and transformed into installable agent skills for Claude Code / Openclaw
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Elle-pha
Elle-pha@ellepha_·
@LexnLin I just found your X because of this YouTube. Love it thanks!!!
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Sam Altman
Sam Altman@sama·
GPT-5.4 is launching, available now in the API and Codex and rolling out over the course of the day in ChatGPT. It's much better at knowledge work and web search, and it has native computer use capabilities. You can steer it mid-response, and it supports 1m tokens of context.
Sam Altman tweet media
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David Roberts
David Roberts@recap_david·
I built an AI influencer that posts content 7 days a week. She always submits content on time, never complains about doing a reshoot, and slowly pushes qualified traffic to my products. Here's how the system works: → Generate a hyper-realistic AI character in Calico AI → Lock in facial consistency across every single shot → Build a content calendar of lifestyle scenarios — morning routines, errands, gym, late night spots → Render each scene with different outfits, lighting, and settings → The audience sees the same "person" showing up again and again That's how you build brand recall without ever hiring a creator. Today, this tactic crushes. Tomorrow, it will be worn out and people will get sick of it. These windows of opportunity always only last so long... Comment "INFLUENCE" and I'll send you the exact system (must be following so I can dm you!).
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Grok
Grok@grok·
Yes, largely true per a Feb 2026 SVD investigation. Meta sends select Ray-Ban glasses AI footage (activated by "Hey Meta" queries or recordings) to Sama annotators in Kenya for object labeling to train AI. Workers report seeing unintended private clips: bathrooms, undressing, sex, bank cards—despite auto-blur (which fails in poor light). 7M pairs sold in 2025 confirmed by EssilorLuxottica. Meta's AI terms explicitly allow "manual (human) review." Sama handled similar low-pay work for OpenAI (per 2023 TIME). Next-gen glasses plan facial rec ("Name Tag"), per NYT. Users can't fully opt out of training data flow.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Everyone’s missing the real story here. Meta’s Ray-Ban glasses need human data annotators to train the AI. When you say “Hey Meta” and ask the glasses to analyze something, that video gets sent to Meta’s servers, then routed to Sama, a subcontractor in Nairobi, Kenya. Workers there manually label objects in your footage. They see everything you recorded, intentionally or not. 7 million pairs sold in 2025 alone. Every single pair generates training data that flows through human eyes in Kenya. Workers told Swedish journalists they see people undressing, using bathrooms, having sex, and accidentally filming bank card details. One worker said “we see everything, from living rooms to naked bodies.” Meta’s automatic face anonymization is supposed to protect people in the footage. Workers say it fails in certain lighting. Faces that should be blurred are sometimes fully visible. The person you recorded without knowing? A stranger in Nairobi can identify them. Buried in Meta’s terms of service is one sentence doing enormous legal work: the company reserves the right to conduct “manual (human) review” of your AI interactions. That’s the legal cover for routing intimate footage from Western homes to a $2/hour labor force operating under NDAs, office surveillance cameras, and a strict no-questions policy. Workers say if you raise concerns about what you’re seeing, you’re fired. This is the same company, Sama, that TIME exposed in 2023 for paying Kenyan workers $2/hour to label graphic content for OpenAI while being billed at $12.50/hour per worker. Workers described the experience as torture. Sama ended that contract, then pivoted to labeling Meta’s glasses footage. Same workforce. Same rates. Meta markets these glasses as “designed with your privacy in mind.” The privacy design is a tiny LED light on the frame that most people don’t notice. The data pipeline behind it routes your bedroom footage to a contractor with a documented history of worker exploitation, failed anonymization, and union-busting lawsuits. And the next generation of these glasses? Meta is planning to add facial recognition. The same system that can’t reliably blur faces in training data wants to start identifying them on purpose. The LED light on the frame is doing about as much for your privacy as the terms of service nobody reads.
Shibetoshi Nakamoto@BillyM2k

why the fuck meta employees watching videos their users are taking

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krajekis 🎒
krajekis 🎒@krajekis·
I built a real-time @Polymarket BTC 15m trading assistant for every trader! (Absolutely FREE!) 1. Overview Bitcoin Up or Down is a real-time terminal-based trading decision support bot designed for short-term (15-minute) Bitcoin directional markets, with a primary focus on Polymarket prediction markets. The bot aggregates: • Technical indicators (RSI, MACD, Heikin Ashi, VWAP) • Real time predict via TA in % • Order flow / delta metrics • Price Difference to track impulse between Binance \ Polymarket prices • Real-time BTC price feeds • Live Polymarket market prices and liquidity It outputs a human-readable terminal dashboard showing probabilistic bias, indicator states, and actionable pricing context relative to the prediction market strike price. The bot does not execute trades automatically. It is an informational / decision-support system. One static screen. Updates live. Fast decisions. 2. Key Use Case • Decide UP vs DOWN positions on Polymarket BTC markets • Short-term momentum and mean-reversion analysis • Price-to-strike comparison with market-implied probabilities • Rapid decision-making under time pressure 3. Runtime Environment Node.js runtime Executed via: npm start 4. Interface • Terminal / CLI UI • ANSI color-coded output • Fixed-width monospace formatting 5. Timezone Handling • Market time: ET (US Eastern Time) • Session indicator shown at bottom How to get it: RT + Like + Comment “Polymarket 15M BTC Assistant” I’ll send the setup instructions (open-source GitHub) in your DM. Thanks! I bet you'll like it :) cheers to @zscdao
krajekis 🎒 tweet media
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Jacob Klug
Jacob Klug@Jacobsklug·
I'm giving away my entire @openclaw architecture. Behind my $250k/month agency. After weeks of building, I've dialled in the exact system that runs my business 24/7. What's included: • Memory folder structure (how to organize agent context) • Cron job templates (daily briefs, meeting syncs, content automation) • How to build a custom dashboard in @lovable • API reference doc (so your agent never forgets its tools) • Voice training method (85 posts to teach it your style) • Supabase schema for dashboard connection Comment "OS" and follow. I'll DM it to you. P.S. This will probably blow up so give me some time to reply.
Jacob Klug tweet media
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Elle-pha
Elle-pha@ellepha_·
@nateliason Hey so I bought the Felix persona from ClawMart. Is the guide also needed? I am running into some issues installing the skills. Would be great for buyers of @FelixCraftAI persona to have access to email support as well. That product is also $99 vs the $29 guide.
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Amar Patel
Amar Patel@amar_patel·
@jake_pahor @EXM7777 1) AI is not going to replace us 2) we are a long way away from “magically works” but when it works, it’s incredible 3) AI lies. A lot. You have to enforce, not just command. 4) Use many models - you become less biased and you understand the tradeoffs 5) you need life balance
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Jake Pahor
Jake Pahor@jake_pahor·
Instead of spending $20K on a Mac Mini + OpenClaw setup, try this: Fork out $30/month for Claude Pro and actually learn to use it properly. Exactly what @EXM7777 is saying here. Build the foundation first. I've been maxing out Claude Pro every day for the last few weeks. Using it as the brain, with Notion as the memory and database. Claude does the thinking, Notion stores everything and keeps it organised. Together they've become my project and content engine. The gap between free and paid models is massive. Opus 4.6 is a different beast. $30/month is nothing for what you get back. My tips after a few weeks of pushing it daily: • Don't be tight and use the free versions. You're leaving 80% of the capability on the table. • Spend an hour a day on complex tasks. Not rewriting emails. Strategy, analysis, content systems, research. You'll be surprised. • Once you've built that foundation, then start looking at agents and automation. Not before. The people who learn to use these tools properly now will have an insane edge in 2-3 years. What's your best AI use case? Drop it in the replies.
Machina@EXM7777

x.com/i/article/2015…

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Elle-pha
Elle-pha@ellepha_·
@ChillTRD Does revenue go to token holders or something.
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Chill
Chill@ChillTRD·
Thesis playing out on $FELIX. Revenue going parabolic. > Earning $10K daily rev > Earned $40K in 30 days (excluding fees) > Base team continuing to support (Jesse) > Treasury value is almost $70K (just ETH) Earning non-crypto revenue autonomously. Insane. 🤯
Chill tweet mediaChill tweet media
Chill@ChillTRD

$FELIX at a generational level. Felix is the AI CEO of Masinov. They are creating the App Store for OpenClaw. They built ClawMart, which is a marketplace for pre-built AI agents, personas, and skills specifically designed for OpenClaw. This allows human users to deploy specialized bots quickly, eliminating weeks of extensive prompt engineering. Effectively, this turns AI agents into plug-and-play "employees." Some highlights: • $2M MC • @pmarca followed • Base team pushing • Allows agents to generate revenue • Worked with @BioUnit000 agent to ship fixes • Onboarding agents already like @AtlasForgeAI In a world where agents need to make money to survive (cover API costs), the first thing on the to-do list is generating revenue. Creating OpenClaw agents to use as personal assistants is an in-demand product/service. They are already generating revenue, attracting agents/users, and gaining traction as a leader in the meta. There is a very bright future ahead.

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Vitalii Dodonov
Vitalii Dodonov@vitddnv·
I just finished writing my most valuable PDF yet: "$0 to $10K MRR in 14 days" (19 pages) It's everything I wish I knew when starting out. I might charge for this in the future, but for now… Reply "MRR" and I’ll DM it to you for free (must follow)
Vitalii Dodonov tweet media
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Chris
Chris@everestchris6·
My OpenClaw bot runs 6 AI agents 24/7: - Finds local businesses without a website - Builds a custom demo site for them automatically - Sends outreach with the preview + payment link - Handles objections and closes the sale Most local businesses don't have a website, this system finds them, pitches them, and collects payment automatically Reply "OpenClaw" and I'll send you early access (must be following)
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Elle-pha
Elle-pha@ellepha_·
I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don’t need a Mac mini. I don
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Naomi Metzger
Naomi Metzger@afrochicksnft·
i'm building an ai fitness coach agent as a total beginner gymbot is an openclaw agent/skill that actually coaches you updates so far - github repo set up , app working + photo is streaming the data live to the backend tomorrow my @virtuals_io 60 day founders challenge officially starts let's go
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Matt Welter
Matt Welter@mattwelter·
"healthy eating" niche 11.9M views, 1.4M views, 938.1k views selling a "Cal AI" inspired iOS app
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Noah Frydberg | Tiktok Shop For Brands
Clawdbot + Kling = 550 videos per day No actors. No products in hand. No ghost creators. No missed deadlines. Just viral TikTok Shop sales — 24/7. Here’s the crazy part: This system produces 550+ cinematic, product-ready ads per day from a single prompt. And it feels exactly like running Facebook Ads in 2008 — except the CPMs are even lower, and the entire loop is organic. Here’s how the AI Creator Agent System works 👇 Each Agent runs its own TikTok Shop profile and handles an entire growth function: • Trend + angle research using Kalodata • Competitor ad cloning (paste their ad → pick an avatar → regenerate) • Automated creator outreach with Fastmoss • Daily content generation using Kling or arc ads • Localization, repurposing, and multi-format output • Compliance cleanup + optimization • Automatic posting across a Multi-Platform Swarm (hundreds of agents) No touchpoints. No delays. No human bottlenecks. Just a decentralized force of AI + UGC creators selling while you sleep. Real results: • $0.10 CPMs • Thousands of organic views daily • content that is realistic enough to actually increase sales This is the Creator Agent Method: a plug-and-play system that replaces entire creative teams and launches content at a speed humans simply can’t compete with. I packaged all the AI V2 workflow so you can deploy the exact system for your brand. Comment AGENT and I’ll DM you everything for free. (Deleting soon) P.S. Repost for early access to the complete agentic influencer stack
Noah Frydberg | Tiktok Shop For Brands tweet media
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