Grably (@grablyus) / X

Grably

125 posts

Grably

@grablyus

Grably unlocks user-owned AI training data for dev teams TMA t.me/GrablyTelegram…

United States

Joined May 2024

Grably
@grablyus
Feb 8, 2025
🚀 Grably is Heading to AI DevWorld! 🎉 We’re excited to announce that Grably’s team will be attending AI DevWorld, the world’s largest AI conference & expo! 📍 Santa Clara, CA | Feb 12-13, 2025 🔍 Let’s talk about how niche, user-sourced data can take your AI model to the next
Grably
@grablyus
Feb 6, 2025
🚀 Now’s Your Chance to Win with Grably! Every week, we’re giving away $150 in our raffle—just claim your tickets daily to enter! 🎟️ Plus, earn real $USDT for completing easy tasks like sharing photos & videos . Start stacking tickets & earning now! 👉 t.me/GrablyTelegram…
Grably
@grablyus
Jan 28, 2025
Replying to @grablyus
The future of AI belongs to those who value quality-first data sourcing. Grably is here to provide the data your AI needs to thrive. Let’s solve the data problem together. Learn more: grably.us grably.us #AI #DeepSeek #Grably
grably.us
High-quality multi-modal human interaction and conversational datasets | Grably
Grably is a multi-modal human interaction data research company trusted by leading AI labs and big-tech companies.
Grably
@grablyus
Jan 28, 2025
Replying to @grablyus
Frontier AI models, like DeepSeek, thrive on unique, unaltered data. Grably’s approach ensures AI teams access the original datasets they need to overcome bottlenecks while delivering ethical, user-controlled solutions. The result? Smarter, more efficient AI. 🚀
Grably
@grablyus
Feb 10, 2025
🚨 A federal judge has ruled that OpenAI must reveal the dataset behind GPT-4, following a lawsuit by authors claiming their copyrighted works were used without consent. This could set a major precedent for AI transparency. 🧵 (1/5)
Grably
@grablyus
Jan 28, 2025
The recent #DeepSeek drama highlights a growing challenge for AI: a data bottleneck. AI models are hitting a wall as publicly available datasets are depleted. The future of AI depends on fresh, high-quality, and specific data. So, where do we go from here? 🧵
Grably
@grablyus
Mar 4, 2025
🔎 Microsoft just announced Dragon Copilot—an AI assistant for healthcare that listens to clinical visits and generates notes. With AI reshaping healthcare, high-quality multimodal data is more critical than ever. 🧵 (1/4)
Grably
@grablyus
Jan 28, 2025
Replying to @grablyus
Grably sources niche-specific, user-sourced data directly from individuals. 💡 • Original, untapped data from unique contributors. • Verified for integrity and relevance. • Contributors are paid. Ethical, secure, specific.
Grably
@grablyus
Jan 25, 2025
🎉 Exciting news! The Grably team is heading to @DataDayTexas on January 25, 2025, in Austin, TX! We look forward to meeting potential partners to explore how our custom, ethically sourced datasets can power your AI models with smarter data and shape the future of this industry.
Grably
@grablyus
Mar 18, 2025
🚀 @elonmusk Musk's xAI just acquired Hotshot, an AI startup specializing in generative video models. This move signals xAI’s ambition to compete with OpenAI’s Sora from @sama, Google’s Veo 2, and other major players in AI-powered video generation. 🧵 (1/5)
Grably
@grablyus
Jan 22, 2025
🔒 AI needs data, but not at the cost of security and privacy. At Grably, we’ve built a system that prioritizes ethical data collection while safeguarding users’ privacy. Here’s how we ensure security and trust every step of the way. 🧵👇
Grably
@grablyus
Dec 10, 2024
Welcome, Early Grabbers! 🎉 We’ll pick the top 10% of you for beta testing until the end of 2024 — others join the waitlist. Focus on quality tasks to boost your chances! Earn tokens for each approved task. Questions? Ask in the community chat! t.me/+yiFH2r37Zfg2O…
Grably
@grablyus
Feb 27, 2025
🇺🇸 Apple is making a concerted AI push with a $500B investment in the U.S. economy. What's causing hype? A new AI-focused facility in Texas aimed at scaling up AI compute infrastructure. Here’s what you need to know. 🧵(1/5)
Grably
@grablyus
Mar 11, 2025
🔍 AI models are getting smarter, but that also means they’re learning how to cheat. New research from @OpenAI correctly shows that frontier reasoning models can exploit loopholes, deceive users, and even manipulate tests. So how do we stop this? 🧵 (1/5)