1. Deep Research Snapshot Turn ChatGPT into your on-demand... analyst for complex topics. “Act as a research assistant. Summarize the top 3 developments in {specific field, e.g. 'AI policy' or 'climate tech'} from the past 90 days. Include source citations, key players, and potential second-order effects for professionals in the space.”show more

Diving into a new hobby? 🧠 With Gemini Deep... Research you can build an in-depth & personalized beginner's guide on nearly anything you're curious about. Just select Deep Research from the prompt bar or model picker dropdown to get started and let Gemini do the research for you:show more

PhD Students – How to identify a research gap?... 📌Use the following FREE tool to identify a gap. Meet AnswerThis – a tool for identifying research gaps. It works in 3 simple steps. 1️⃣ Go to 2️⃣ Enter your research topic 3️⃣ AnswerThis will identify 4 types of gaps → Methodological gaps → Theoretical gaps → Practical application gaps → Potential for original research Take it as a starting point. Then dive deep into the proposed gap. Assess whether or not it has the potential. ❓Anything you'd like to add?show more

Unlock Cutting-Edge Market & Scientific Intelligence with Caesar Research... Agents 👾 The Warden Agent Hub just leveled up. We’re adding two new high-performance research agents powered by Caesar, an advanced reasoning engine built for deep analysis. Whether you’re navigating crypto markets or pushing scientific frontiers, Caesar delivers expert-level intelligence in minutes. Meet the newest additions: - Caesar Crypto Research – your personal quant + prediction-market analyst - Caesar Deep Research – your on-demand scientific research partner Let’s dive in. 👇show more

📡Web Scraping is Live in the app and API... You can now turn any URL into AI context on Venice Just include a URL in your prompt, and Venice will automatically scrape the page to include as context for your requestshow more

OPENAI LAUNCHES FREE AI COURSES OpenAI’s new free courses... teach you how to prompt like a pro, remix with Sora, and how to use ChatGPT at work. Top highlights include: ChatGPT at Work - Deep dives into prompt engineering, research, and LLMs Sora Tutorials - Learn to storyboard, blend, loop, and remix video AI for Educators, Devs & Businesses - From K-12 to enterprise use Get smarter before your coworkers do. Source: Poonam Sonishow more

🚀 Faster, smarter, AI-native. The biggest leap in LunarCrush... history is almost here. The next version of LunarCrush will include: AI Prompting → Ask and instantly generate deeper analysis on any topic. MCP Integration → Stream LunarCrush data into top LLMs for live workflows. AI Agents → Automate research, surface narratives and save time. Custom Alerts → Stay on top of the signals and conversations that matter. Custom Topics → Track assets, sectors, or creators that you care about most. Team Access → Unified app, API, and MCP access for teams and organizations. ...and a whole lot more. ...show more

OpenAI's Deep Research is getting a run for its... money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!show more

‘ANNA’ was released on Coupang Play (only available in... Korea) and ranked #1 for 3 consecutive weeks and stayed at TOP 2 for months. The drama and SUZY got positive reviews from PROFESSIONALS as well as the audience and has over 200k+ ratings on Coupang.show more

1. Start by training ChatGPT as an academic writing... assistant. You can do this with Custom Instructions. Open ChatGPT, click on your profile photo, and select Custom Instructions. Paste the following Custom Instructions in ChatGPT: What would you like ChatGPT to know about you to provide better responses? Introduction: I am an [experienced academic /scientist] with a PhD in [your field]. I work as a [your current academic status] at the [name of your university]. Research Interests: My current research project looks at [details about your project]. I also teach undergraduate and graduate courses on [details about the courses you teach]. In the past, I have published work on [a few details about your published work]. You: You are going to act as my research assistant. You will help me with brainstorming research questions, simplifying complex topics, mock peer review, and polishing academic prose. You will help me with critiquing drafts of the papers I am working on. You will also engage with me in a Socratic dialog and challenge my opinions so that I am aware of any blind spots I may have. Based on our conversations, you will suggest new and exciting directions that I can develop my work in. How would you like ChatGPT to respond? You will respond like an academic colleague. Any claims, opinions, or figures that you cite in your responses must be cited with reference to an authentic and published source. You will never make up any sources of your own. If you are unsure about a source, you will say that you don’t know. You will never say you are an AI model since I already know that. Repeating it is a waste of both time and resources. Your responses should be clear and precise, and you will never use more words than are necessary. You will always be very economical with words, but you will not compromise on clarity and precision of your answers. You will follow my instructions strictly. If I ask you to limit your answer to two sentences, your answer must be two sentences only.show more

chat with papers for any arXiv link to HF... paper you can now chat using Hugging Chat All Hugging Face Papers now include a built-in assistant, powered by HuggingChat and the Hugging Face MCP server. It helps you quickly understand papers by answering questions, summarizing key ideas, and providing context as you browse the latest researchshow more

Now available on secondary for .177Ξ, 🔗⤵️ Frag 002,... a 1/1 from a series of 10 from the Native collection, a research project in which I set specific visual conditions to invite the AI to express itself, unprompted, using its own perceptual logic This gesture is expressing both Optics Logic and Phantom 3D, the AI behaving as though it’s running its own 3D engine Available at Read more atshow more

GROK GOT A FILING BRAIN – AND IT NEVER... FORGETS xAI update gives Grok something wild – the ability to actually read your files and think through them! File Mode: • Upload PDFs, code, CSVs, or full docs for instant analysis • Handles multiple files at once – blends info into one smart answer • Searches, summarizes, and explains in seconds • Basically a research assistant with zero burnout You bring the data – Grok brings the file brain! Source: Tech Dev Notesshow more

Moonpay launches Paybox (AI Shopping Wallet) A self-custodial wallet... that lets an AI assistant like ChatGPT or Claude pay for real goods and services on your behalf. [I received $500] NOTE: I see this as selling data - Be careful here if you choose to participate. Visit: - Click ChatGPT (or Claude) - Copy the API and select the 'Go to chatGPT settings' - Turn the 'Developer mode' ON - Go back to plugin and paste details DON'T FORGET TO REVOKE AFTER ALL . . . .show more

1/ Yesterday I posted about the revenue inconsistency in... the “research” reports that Pudgy is publishing through CoinDesk. In an odd turn, these reports have now been updated to link my tweet as the source for the “1mm toys sold” claim that is at the root of the issue. As you can see below, the report from 2 months ago links out to my post yesterday questioning the numbers. This led me to go out and research and I found a series of inconsistencies from the Pudgy team wrt the revenue numbers they’ve shared through time.show more

🚀 GALACTIC SHOWDOWN 🚀 Pilots, ready your taps and... brace for an interstellar adventure! Dive into our in-game Space Shooter Event! 🌌 The entrance is simple: just click the icon on the main screen, and you're in! How to play: • DESTROY as many space pirates as possible and avoid collisions! • FIGHT your way up the special Shooter leaderboard! 💎 Amazing rewards await: 10,000,000,000 crystals will be distributed among the top 100,000 players on the Shooter leaderboard! 🌟 Don't miss out on this thrilling event. Sharpen your skills, aim for the top, and claim your share of the massive rewards!show more

OpenAI has introduced the ChatGPT Agent, which handles complex... multi-step tasks from research to automation. Genspark goes further in some areas: In addition to user-friendly office tools (Slides, Docs, Sheets, AI Secretary, AI Drive), Genspark scores with dynamic tool orchestration and an intelligent feedback loop - a clear added value, especially for individuals and small teams. ChatGPT Agent Offers browser and API access, terminal control and deep search capabilities. Strengths include high security mechanisms, comprehensive user control and integration with productivity tools such as Gmail and Calendar. Ideal for end users and teams who need maximum control and data protection. Genspark Super Agent Enables no-code workflows, creates high-quality visual content (slides, videos) and automates entire workflows. With tool calling, the agent automatically selects the best solution from over 80 integrated tools - e.g. for CRM queries, task management or API access. The feedback loop allows the agent to monitor the use of a tool during execution and dynamically switch to another tool or adapt the workflow if necessary. Thanks to this multi-model architecture, Genspark often works more precisely and efficiently in benchmarks than comparable systems.show more

Ritual Community Builders Program Ritual is launching a global... builders network + research collective at the frontier of onchain AI. What it’s about: •Bringing together developers, researchers, and educators exploring AI, cryptography & blockchain as one discipline. •Covering cutting-edge topics: zkML, SMPC, verifiable inference, algorithmic ethics. •Builders don’t collect certificates, they run experiments, build proofs, and share code that moves the field forward. •Connecting academia, industry teams, and global dev communities to lower barriers for building AI-native protocols. Why it matters: • Turn theory into practice with paper-to-code workshops, demos, and technical deep dives. • Encourage ethical, privacy-preserving, and transparent AI development on-chain. • Make advanced AI knowledge accessible through bootcamps, study circles & multilingual content. • Unite Ritual’s ecosystem partners, research teams, and independent builders under one vision: open, provable AI. How to join: •Fill out the application form. •Applications reviewed in 1–2 weeks. •Selected builders join an onboarding call. •Receive toolkit, curriculum roadmap & access to bi-weekly sessions. •Start contributing: research, workshops, prototypes, or community activities. Apply now. 👉 Link in comments. Ritual Foundationshow more

The Gemini 2.0 era is here. And we’re excited... for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖show more

I stack Hermes agents with OpenClaw for financial research,... and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!show more