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Google Gemini 3 Pro. Custom model support within GitHub Copilot. Bringing runtime vulnerabilities into GitHub Advanced Security with Microsoft Defender. GitHub's cooking with gas at Ignite today. Can’t stop won’t stop.🔥 Quick demo of GHAS X MDC.

Kyle Daigle

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28,972 views • 8 months ago •via X (Twitter)

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Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.

Today at #GoogleIO, we’re demonstrating how our partnership with Google Cloud is redefining the landscape of Intelligent Content Management. Leveraging the advanced capabilities of Google’s Gemini 2.5 Pro, our new AI Agent with enhanced data extraction transforms complex, unstructured data from various sources—including scanned PDFs, images, and diverse forms—into structured, actionable insights. Check out the demo below to watch Gemini 2.5 Pro and Box AI agents in action. With the Box AI Agent powered by Gemini 2.5 Pro you can: ⭐ Automatically, and instantly, classify and organize documents ⭐ Extract accurate insights and information from documents and images ⭐ Enable workflow automation by leveraging structured and easily retrievable content Our partnership with Google is not just about enhancing current capabilities; it’s about unlocking the full potential of AI, and models like Gemini 2.5 Pro, for intricate enterprise use cases.

Box

10,565 views • 1 year ago

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

For developers, Gemini 3 Pro offers unparalleled results across every major AI benchmark compared to Gemini 2.5 Pro. Here three ways Gemini 3 Pro can improve your workflow today: 1. Gemini 3 Pro fits right into existing production agent and coding workflows. It is also integrated into development environment experiences across the ecosystem of developer products like Google AI Studio, Gemini CLI, and Android Studio. 2. We introduced Google Google Antigravity, a new agentic development platform that reimagines how the model and IDE work together. It enables developers to manage agents to work at a higher, task-oriented level collaborating with agents while they build. 3. We’ve built Google AI Studio to be your fastest path from a prompt to an AI-native app. Build mode lets you add AI capabilities faster than ever, automatically wiring up the right models and APIs, while features like annotations enable fast and intuitive iteration. Whether you’re building a one-shot prompt game or an interactive landing page from unstructured voice notes, you can bring any idea to life with Gemini 3.

Google AI

136,589 views • 8 months ago

I’ve built an order execution tool specifically for IB users. The open-source code is available on GitHub, but since most traders probably prefer something simple and ready to use, I also made an executable (.exe) version and uploaded it to Google Drive. This order execution tool can automatically retrieve your account balance and calculate position size based on your specified risk %. You can choose to set the stop loss at the LOD (low of the day) or enter it manually. The tool automatically places stop orders according to your stop level, one stop or 3 stops Why three stop orders? You can refer to Jeff Sun, CFTe Jeff Sun’s article for the reasoning behind this risk management approach. It also comes with customizable hotkeys for quick and efficient order placement. In the demo video, I used a virtual keyboard to show you how it works in real time. Lastly, this tool is completely free to use. If you find it helpful, you’re welcome to buy me a coffee — your support is what keeps me motivated to keep improving and adding new features. I’ve recorded a demo video showing how to set it up and use it — it’s already posted on X for reference. Github: Googledrive:

I’ve built an order execution tool specifically for IB users. The open-source code is available on GitHub, but since most traders probably prefer something simple and ready to use, I also made an executable (.exe) version and uploaded it to Google Drive. This order execution tool can automatically retrieve your account balance and calculate position size based on your specified risk %. You can choose to set the stop loss at the LOD (low of the day) or enter it manually. The tool automatically places stop orders according to your stop level, one stop or 3 stops Why three stop orders? You can refer to Jeff Sun, CFTe Jeff Sun’s article for the reasoning behind this risk management approach. It also comes with customizable hotkeys for quick and efficient order placement. In the demo video, I used a virtual keyboard to show you how it works in real time. Lastly, this tool is completely free to use. If you find it helpful, you’re welcome to buy me a coffee — your support is what keeps me motivated to keep improving and adding new features. I’ve recorded a demo video showing how to set it up and use it — it’s already posted on X for reference. Github: Googledrive:

Will Hu

29,336 views • 8 months ago

🚨 do you understand what just happened to Microsoft.. Microsoft just dropped seven of its own MAI models, trained from scratch with zero distillation, and said its custom-tuned models already match GPT-tier quality at 10x lower cost. The partner that pays OpenAI's bills is now quietly building the thing that replaces it. - MAI-Thinking-1 hits human-preference parity with Sonnet 4.6 and 53% on SWE Bench Pro, right next to Opus 4.6 - MAI-Code-1-Flash delivers Haiku-class coding at just 5B params and is already shipping inside GitHub Copilot - A custom MAI model tuned for Excel matched GPT-5.4 while running up to 10x more efficiently - Their real weapon isn't the weights, it's that they're already inside everyone's Office, Teams, and VS Code The hard part was never training a good model. The hard part is being the room everyone already works in. Microsoft owns the room.

🚨 do you understand what just happened to Microsoft.. Microsoft just dropped seven of its own MAI models, trained from scratch with zero distillation, and said its custom-tuned models already match GPT-tier quality at 10x lower cost. The partner that pays OpenAI's bills is now quietly building the thing that replaces it. - MAI-Thinking-1 hits human-preference parity with Sonnet 4.6 and 53% on SWE Bench Pro, right next to Opus 4.6 - MAI-Code-1-Flash delivers Haiku-class coding at just 5B params and is already shipping inside GitHub Copilot - A custom MAI model tuned for Excel matched GPT-5.4 while running up to 10x more efficiently - Their real weapon isn't the weights, it's that they're already inside everyone's Office, Teams, and VS Code The hard part was never training a good model. The hard part is being the room everyone already works in. Microsoft owns the room.

BuBBliK

171,865 views • 1 month ago

Gemini CLI 🤝🏻 Zed! We merged 145+ PRs from 55+ unique contributors across the CLI and GitHub Action. After VS Code, Gemini CLI is now integrated directly into the Zed code editor! - fully integrated experience into Zed’s Agent Panel (ConradIrwin) - Introduced automatic conversation saving. (bl-ue) - Added support for `GOOGLE_API_KEY` and `GEMINI_MODEL` inputs in our GitHub Action. (vivekkairi) - View the lines of code added and removed during a session using `/stats` (bulkypanda) - Added support for multi-folder workspaces in IDE mode. (chrstnb) - `/terminal-setup` to configure your terminal to allow shift + enter (deepankarsharma) - Allowed combining stdin and the prompt flag (`-p`) for input. (wietsevenema) - Introduced arguments for shell execution in custom commands. (abhipatel12) - Refactored shell execution to use node-pty for improved stability. (galz10) - Fixed IDE companion connections in proxy environments. (Blackoutta) - Fixed an issue to allow re-authentication with a different Google account. (bulkypanda) - Added a non-recursive file search strategy. (brychanrobot) - Improved styling for diff view line numbers and characters. (miguelsolorio) Get started today: `npm i -g @google/gemini-cli`

Gemini CLI 🤝🏻 Zed! We merged 145+ PRs from 55+ unique contributors across the CLI and GitHub Action. After VS Code, Gemini CLI is now integrated directly into the Zed code editor! - fully integrated experience into Zed’s Agent Panel (ConradIrwin) - Introduced automatic conversation saving. (bl-ue) - Added support for `GOOGLE_API_KEY` and `GEMINI_MODEL` inputs in our GitHub Action. (vivekkairi) - View the lines of code added and removed during a session using `/stats` (bulkypanda) - Added support for multi-folder workspaces in IDE mode. (chrstnb) - `/terminal-setup` to configure your terminal to allow shift + enter (deepankarsharma) - Allowed combining stdin and the prompt flag (`-p`) for input. (wietsevenema) - Introduced arguments for shell execution in custom commands. (abhipatel12) - Refactored shell execution to use node-pty for improved stability. (galz10) - Fixed IDE companion connections in proxy environments. (Blackoutta) - Fixed an issue to allow re-authentication with a different Google account. (bulkypanda) - Added a non-recursive file search strategy. (brychanrobot) - Improved styling for diff view line numbers and characters. (miguelsolorio) Get started today: `npm i -g @google/gemini-cli`

Philipp Schmid

13,863 views • 10 months ago

This month, the Google Gemini became even more intuitive, integrated and personalized. Here's a snapshot of what's new: 🌏 Personal Intelligence is now available to even more users around the world. Now, it can also generate images that reflect your life, interests and the things you care about most using Nano Banana and your Google Photos library. 📓 We introduced notebooks — our “project” feature that integrates with NotebookLM, giving you a home base for your big ideas that stays in sync across both tools. 🍎 The Gemini app is now available on Mac. Download the desktop app to get AI assistance from Gemini with just a keyboard shortcut (Option + Space). Share anything on your screen — including local files — to get support with whatever you’re looking at. 🎵 Create custom tracks up to 3 minutes long for free with Lyria 3 Pro. To try it, select “Create music” in the tools menu and “Thinking” or “Pro” from the model picker. 📈 Gemini can now transform complex questions into custom, interactive visualizations right in your chat — like playing with adjustable sliders for gravity and velocity to explore questions like how the moon orbits earth.

This month, the Google Gemini became even more intuitive, integrated and personalized. Here's a snapshot of what's new: 🌏 Personal Intelligence is now available to even more users around the world. Now, it can also generate images that reflect your life, interests and the things you care about most using Nano Banana and your Google Photos library. 📓 We introduced notebooks — our “project” feature that integrates with NotebookLM, giving you a home base for your big ideas that stays in sync across both tools. 🍎 The Gemini app is now available on Mac. Download the desktop app to get AI assistance from Gemini with just a keyboard shortcut (Option + Space). Share anything on your screen — including local files — to get support with whatever you’re looking at. 🎵 Create custom tracks up to 3 minutes long for free with Lyria 3 Pro. To try it, select “Create music” in the tools menu and “Thinking” or “Pro” from the model picker. 📈 Gemini can now transform complex questions into custom, interactive visualizations right in your chat — like playing with adjustable sliders for gravity and velocity to explore questions like how the moon orbits earth.

News from Google

26,045 views • 2 months ago

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:

🚀 The team at Google DeepMind just released Gemini Embedding 2, a frontier embeddings model with 3072 dimensions and state-of-the-art semantic quality. 👩‍💻 We built a demo showing how to integrate it across the LlamaIndex ecosystem, from LlamaParse to LlamaAgents: 𝗮𝘂𝗱𝗶𝗼-𝗸𝗯, a knowledge base for your audio notes. With audio-kb, you can: 🔹 Upload an MP3 or record directly from your terminal 🔹 LlamaParse extracts the transcript from the audio 🔹 Gemini Embedding 2 generates embeddings 🔹 Metadata + vectors are stored in SurrealDB and indexed with HNSW 🔍 Once ingested, you can search all your audio notes directly from the terminal. 🎙️ Perfect for turning voice memos, meetings, or lectures into a searchable knowledge base. 📖 Full blog: 💻 GitHub: ⚡ Try LlamaParse:

LlamaIndex 🦙

34,765 views • 4 months ago

Here's my conversation with Sundar Pichai, CEO of Google and Alphabet. I've gotten to know Sundar over the past 2 years. His life story and approach to leadership are truly inspiring. So this conversation was a pleasure and honor for me 🙏 We're living through the most exciting period of technological innovation in human history. And Google & Alphabet are at the center of it. This chat made me even more excited for the future! Oh, and they just now released a new model (gemini-2.5-pro-preview-06-05) that's the new state of the art at #1 on lmarena 🤯 Full conversation is here on X and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:08 - Introduction 2:18 - Growing up in India 8:27 - Advice for young people 10:09 - Styles of leadership 14:29 - Impact of AI in human history 26:39 - Veo 3 and future of video 34:24 - Scaling laws 38:09 - AGI and ASI 44:33 - P(doom) 51:24 - Toughest leadership decisions 1:02:32 - AI mode vs Google Search 1:15:22 - Google Chrome 1:30:52 - Programming 1:37:37 - Android 1:42:49 - Questions for AGI 1:48:05 - Future of humanity 1:51:26 - Demo: Google Beam 1:59:09 - Demo: Google XR Glasses 2:01:54 - Biggest invention in human history

Here's my conversation with Sundar Pichai, CEO of Google and Alphabet. I've gotten to know Sundar over the past 2 years. His life story and approach to leadership are truly inspiring. So this conversation was a pleasure and honor for me 🙏 We're living through the most exciting period of technological innovation in human history. And Google & Alphabet are at the center of it. This chat made me even more excited for the future! Oh, and they just now released a new model (gemini-2.5-pro-preview-06-05) that's the new state of the art at #1 on lmarena 🤯 Full conversation is here on X and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:08 - Introduction 2:18 - Growing up in India 8:27 - Advice for young people 10:09 - Styles of leadership 14:29 - Impact of AI in human history 26:39 - Veo 3 and future of video 34:24 - Scaling laws 38:09 - AGI and ASI 44:33 - P(doom) 51:24 - Toughest leadership decisions 1:02:32 - AI mode vs Google Search 1:15:22 - Google Chrome 1:30:52 - Programming 1:37:37 - Android 1:42:49 - Questions for AGI 1:48:05 - Future of humanity 1:51:26 - Demo: Google Beam 1:59:09 - Demo: Google XR Glasses 2:01:54 - Biggest invention in human history

Lex Fridman

938,431 views • 1 year ago

The next evolution: VLA+ models Just yesterday Microsoft Research released Rho-alpha (ρα) – their first robotics model, built on the Phi family. While most Vision-Language-Action (VLA) models stop at vision and language, Rho-alpha adds: ▪️ Tactile sensing to feel objects during manipulation ▪️ Online learning that lets it improve from human corrections (via teleoperation, 3D mouse or other tools) in real-time even after deployment. Both these sides make adaptability central rather than incidental. Microsoft calls it a VLA+ model, positioning it as an extension beyond what current VLA systems support. ➡️ Today Rho-alpha can control dual-arm robot setups to perform tasks such as: • Manipulating the BusyBox following natural-language instructions • Plug insertion • Toolbox packing and object arrangement with bimanual coordination But to understand why this "plus" matters, we need to understand what came before. Here, we'll take you through the entire landscape of VLA models – Gemini Robotics, π0, SmolVLA, Helix, ACoT-VLA and others:

The next evolution: VLA+ models Just yesterday Microsoft Research released Rho-alpha (ρα) – their first robotics model, built on the Phi family. While most Vision-Language-Action (VLA) models stop at vision and language, Rho-alpha adds: ▪️ Tactile sensing to feel objects during manipulation ▪️ Online learning that lets it improve from human corrections (via teleoperation, 3D mouse or other tools) in real-time even after deployment. Both these sides make adaptability central rather than incidental. Microsoft calls it a VLA+ model, positioning it as an extension beyond what current VLA systems support. ➡️ Today Rho-alpha can control dual-arm robot setups to perform tasks such as: • Manipulating the BusyBox following natural-language instructions • Plug insertion • Toolbox packing and object arrangement with bimanual coordination But to understand why this "plus" matters, we need to understand what came before. Here, we'll take you through the entire landscape of VLA models – Gemini Robotics, π0, SmolVLA, Helix, ACoT-VLA and others:

Turing Post

62,362 views • 5 months ago

$5 github repos that turned my AI ideas into a working Polymarket trading desk. +$300K in month. 1. guberm/polymarket-bot -> replaces a $200K/yr prop trading desk Claude ensemble + multi-provider mode. fractional Kelly. stop-loss, take-profit, edge-gone exits. 2. alsk1992/CloddsBot -> replaces 4 trading terminals ($300/mo each) 1000+ markets across Polymarket, Kalshi, Binance, Hyperliquid. 8 LLM providers. VaR/CVaR risk engine. 3. randomness11/probablyprofit -> replaces $5,000+ in custom strategy dev write strategy in plain English. Claude + GPT-4 + Gemini with 2-of-3 voting. Kelly sizing. Telegram alerts. 4. caiovicentino/polymarket-mcp-server -> replaces "AI-powered" SaaS subs ($99/mo) gives Claude direct trading access. 45 tools. real-time WebSocket. max order size + exposure limits. 5. polymarket side: PolyGun wallets and auto-copies their trades + my public repo: bookmark this. send to anyone who says "AI can't trade"$

5 github repos that turned my AI ideas into a working Polymarket trading desk. +$300K in month. 1. guberm/polymarket-bot -> replaces a $200K/yr prop trading desk Claude ensemble + multi-provider mode. fractional Kelly. stop-loss, take-profit, edge-gone exits. 2. alsk1992/CloddsBot -> replaces 4 trading terminals ($300/mo each) 1000+ markets across Polymarket, Kalshi, Binance, Hyperliquid. 8 LLM providers. VaR/CVaR risk engine. 3. randomness11/probablyprofit -> replaces $5,000+ in custom strategy dev write strategy in plain English. Claude + GPT-4 + Gemini with 2-of-3 voting. Kelly sizing. Telegram alerts. 4. caiovicentino/polymarket-mcp-server -> replaces "AI-powered" SaaS subs ($99/mo) gives Claude direct trading access. 45 tools. real-time WebSocket. max order size + exposure limits. 5. polymarket side: PolyGun wallets and auto-copies their trades + my public repo: bookmark this. send to anyone who says "AI can't trade"

zostaff

18,706 views • 2 months ago

🚨EXPOSED: Israel's $7K Bribes to Fake Influencers – They're Coming for Me Next After Charlie Kirk's Assassination! Charlie Kirk was assassinated just weeks ago—shot dead on stage while fighting for our values. Now, fake influencers, PAID UP TO $7K A POST by Israel to shill pro-Israel propaganda, are flooding our comments, smearing truth-seekers as "anti-Semitic" just for demanding answers. Most of us see through your bot army & disinformation BS. It won't silence us—you couldn't stop Charlie, and you won't stop me. Kill the investigation? Try it. I'll expose every dollar trail funding your lies. Ignore the noise. Real talk: If foreign cash is puppeteering our discourse, hit the streets TODAY. At the gas station, grocery, or diner—say it loud: "Our government's too beholden to foreign lobbies!" Watch heads turn, convos ignite. Word of mouth > paid bots. Pro-America first? Join in. Shills for overseas agendas? Stay silent—you know you can't win that debate.Who's with me? Drop 🔥if you're done with the paid shills. Let's EXPOSE them all.

🚨EXPOSED: Israel's $7K Bribes to Fake Influencers – They're Coming for Me Next After Charlie Kirk's Assassination! Charlie Kirk was assassinated just weeks ago—shot dead on stage while fighting for our values. Now, fake influencers, PAID UP TO $7K A POST by Israel to shill pro-Israel propaganda, are flooding our comments, smearing truth-seekers as "anti-Semitic" just for demanding answers. Most of us see through your bot army & disinformation BS. It won't silence us—you couldn't stop Charlie, and you won't stop me. Kill the investigation? Try it. I'll expose every dollar trail funding your lies. Ignore the noise. Real talk: If foreign cash is puppeteering our discourse, hit the streets TODAY. At the gas station, grocery, or diner—say it loud: "Our government's too beholden to foreign lobbies!" Watch heads turn, convos ignite. Word of mouth > paid bots. Pro-America first? Join in. Shills for overseas agendas? Stay silent—you know you can't win that debate.Who's with me? Drop 🔥if you're done with the paid shills. Let's EXPOSE them all.

Project Constitution

16,144 views • 9 months ago

10 free Google AI tools nobody talks about. while everyone's burning $20/mo on chatgpt and claude, google quietly shipped a stack worth $200+/mo. all free. all yours. — 1️⃣ NotebookLM — your second brain upload sources (PDFs, websites, audio, YouTube). it summarizes, builds mind maps, generates quizzes, drafts slide decks, even turns your notes into a podcast you can listen to on a walk. free tier: 100 notebooks, 50 sources each, 50 chats/day, 3 audio overviews/day. replaces: notion AI + perplexity + readwise — 2️⃣ Google AI Studio — the free gemini playground web playground for gemini 3 pro and flash with a free API key. generous limits. paste a 1M-token context window and watch it actually use it. faster than the openai playground and free where openai charges per token. replaces: openai playground + paid API credits — 3️⃣ Gemini CLI — google's open-source terminal agent apache 2.0 licensed. one command (npx @google/gemini-cli) and you've got an agent in your terminal that reads your codebase, runs shell commands, and ships PRs. drop-in claude code alternative. replaces: claude code ($20/mo by default) — 4️⃣ Jules — async coding agent assign jules a github issue. it spins up a cloud VM, clones your repo, writes the plan, makes the changes, opens a PR. free tier: 15 tasks/day, 3 concurrent, runs on gemini flash. replaces: devin ($20/mo+) + cursor agent 5️⃣ Stitch — text → UI → code google's free figma killer. describe an interface, get production-ready HTML/CSS/Tailwind + figma export. march 2026 update added voice canvas, infinite canvas, and MCP integration with cursor. 350 standard + 200 experimental generations/month free. replaces: galileo AI + early-stage figma work — 6️⃣ Gemma 4 — open-weight LLM google's flagship open model. apache 2.0. 2B, 4B, 26B-MoE, and 31B variants. 256K context. runs on ollama with one command. quantized versions run on a 4090 or beefy laptop. replaces: paying for hosted LLM inference — 7️⃣ Illuminate — papers → podcasts paste an arxiv preprint link. illuminate turns dense research papers into a 6-8 min conversation between two AI hosts breaking it down. perfect for commute reading you can't do at a desk. note: still in waitlist for some regions. replaces: snipd + manual research reading — 8️⃣ Learn About (LearnLM) — adaptive AI tutor drop in any topic you're stuck on. highlight a word, click "go deeper," and the interface adapts in real time to your comprehension level. visual explanations, follow-up questions, the works. replaces: paid tutoring on niche topics — 9️⃣ Google Labs FX (ImageFX + Flow + MusicFX) — free imagen, veo, musicLM google labs creative suite. text-to-image (imagen 4), text-to-video (veo via Flow), text-to-music (musicLM). free tier: limited daily generations. the heavy veo 3.1 features are paid (AI Pro $19.99/mo). still worth using for image and music — those stay free. replaces: midjourney + suno (free tier only — runway-level video gen is paid) — 🔟 Google Colab — free GPU notebooks free T4 GPU + 12GB RAM in a browser tab. enough to fine-tune small models, run stable diffusion, prototype agents. the launching pad for half the ML projects on github. replaces: paid cloud GPU rentals — a quick honest note: these tools aren't 1:1 better than the paid versions they replace. but they're decent enough to get most things done — especially if you're not a heavy user or you've got little funds to play with. i've put all 10 in a public github repo (link in comments). follow + turn on post notifications for more useful posts like this 🔔

10 free Google AI tools nobody talks about. while everyone's burning $20/mo on chatgpt and claude, google quietly shipped a stack worth $200+/mo. all free. all yours. — 1️⃣ NotebookLM — your second brain upload sources (PDFs, websites, audio, YouTube). it summarizes, builds mind maps, generates quizzes, drafts slide decks, even turns your notes into a podcast you can listen to on a walk. free tier: 100 notebooks, 50 sources each, 50 chats/day, 3 audio overviews/day. replaces: notion AI + perplexity + readwise — 2️⃣ Google AI Studio — the free gemini playground web playground for gemini 3 pro and flash with a free API key. generous limits. paste a 1M-token context window and watch it actually use it. faster than the openai playground and free where openai charges per token. replaces: openai playground + paid API credits — 3️⃣ Gemini CLI — google's open-source terminal agent apache 2.0 licensed. one command (npx @google/gemini-cli) and you've got an agent in your terminal that reads your codebase, runs shell commands, and ships PRs. drop-in claude code alternative. replaces: claude code ($20/mo by default) — 4️⃣ Jules — async coding agent assign jules a github issue. it spins up a cloud VM, clones your repo, writes the plan, makes the changes, opens a PR. free tier: 15 tasks/day, 3 concurrent, runs on gemini flash. replaces: devin ($20/mo+) + cursor agent 5️⃣ Stitch — text → UI → code google's free figma killer. describe an interface, get production-ready HTML/CSS/Tailwind + figma export. march 2026 update added voice canvas, infinite canvas, and MCP integration with cursor. 350 standard + 200 experimental generations/month free. replaces: galileo AI + early-stage figma work — 6️⃣ Gemma 4 — open-weight LLM google's flagship open model. apache 2.0. 2B, 4B, 26B-MoE, and 31B variants. 256K context. runs on ollama with one command. quantized versions run on a 4090 or beefy laptop. replaces: paying for hosted LLM inference — 7️⃣ Illuminate — papers → podcasts paste an arxiv preprint link. illuminate turns dense research papers into a 6-8 min conversation between two AI hosts breaking it down. perfect for commute reading you can't do at a desk. note: still in waitlist for some regions. replaces: snipd + manual research reading — 8️⃣ Learn About (LearnLM) — adaptive AI tutor drop in any topic you're stuck on. highlight a word, click "go deeper," and the interface adapts in real time to your comprehension level. visual explanations, follow-up questions, the works. replaces: paid tutoring on niche topics — 9️⃣ Google Labs FX (ImageFX + Flow + MusicFX) — free imagen, veo, musicLM google labs creative suite. text-to-image (imagen 4), text-to-video (veo via Flow), text-to-music (musicLM). free tier: limited daily generations. the heavy veo 3.1 features are paid (AI Pro $19.99/mo). still worth using for image and music — those stay free. replaces: midjourney + suno (free tier only — runway-level video gen is paid) — 🔟 Google Colab — free GPU notebooks free T4 GPU + 12GB RAM in a browser tab. enough to fine-tune small models, run stable diffusion, prototype agents. the launching pad for half the ML projects on github. replaces: paid cloud GPU rentals — a quick honest note: these tools aren't 1:1 better than the paid versions they replace. but they're decent enough to get most things done — especially if you're not a heavy user or you've got little funds to play with. i've put all 10 in a public github repo (link in comments). follow + turn on post notifications for more useful posts like this 🔔

m0h

11,673 views • 1 month ago

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h

m0h

225,095 views • 1 month ago

We’re live at #GEOINT2026, where earlier today on the main stage, Ronda Schrenk, President of the United States Geospatial Intelligence Foundation (USGIF), highlighted how Vantor is combining highly detailed, accurate spatial data with advanced AI to deliver agentic intelligence that empowers human analysts in new ways. Visit us at Booth #1111 to experience those capabilities firsthand through live demos, conversations with mission experts, and real-world use cases. This week, we’re looking forward to connecting with customers, partners, and the broader GEOINT community — and to joining the conversations shaping mission speed, decision advantage, and the future of spatial intelligence. Catch our featured sessions: Monday, May 4 | 2:45–3:30 p.m. MT GEOINT at the Edge: How Software Is Breaking the Tactical Bottleneck Speaker: Susanne Hake Tuesday, May 5 | 9:45–10:30 a.m. The Intelligence Inflection Point: AI, GEOINT, and Decision Security Speaker: Dan Smoot See you at Booth #1111. 📸: Vantor x Google vignette highlighting agentic geospatial intelligence — using AI agents to turn complex imagery and spatial data into faster, mission-ready insight.

We’re live at #GEOINT2026, where earlier today on the main stage, Ronda Schrenk, President of the United States Geospatial Intelligence Foundation (USGIF), highlighted how Vantor is combining highly detailed, accurate spatial data with advanced AI to deliver agentic intelligence that empowers human analysts in new ways. Visit us at Booth #1111 to experience those capabilities firsthand through live demos, conversations with mission experts, and real-world use cases. This week, we’re looking forward to connecting with customers, partners, and the broader GEOINT community — and to joining the conversations shaping mission speed, decision advantage, and the future of spatial intelligence. Catch our featured sessions: Monday, May 4 | 2:45–3:30 p.m. MT GEOINT at the Edge: How Software Is Breaking the Tactical Bottleneck Speaker: Susanne Hake Tuesday, May 5 | 9:45–10:30 a.m. The Intelligence Inflection Point: AI, GEOINT, and Decision Security Speaker: Dan Smoot See you at Booth #1111. 📸: Vantor x Google vignette highlighting agentic geospatial intelligence — using AI agents to turn complex imagery and spatial data into faster, mission-ready insight.

Vantor

10,718 views • 2 months ago

The single-agent paradigm is obsolete. I’ve been testing LobeHub, and I have to say: LobeHub is the next generation of agent harness. Anyone can effortlessly build and team up with agent coworkers to deliver complex, systematic work.Manus and Claude Cowork stop at L3; LobeHub moves agents to L4. As shown in the video, the performance gap is significant: Vs Manus: LobeHub is ~3x faster and ~6.5x cheaper on complex tasks like Paper Analysis. Vs Claude Cowork: You get full multi-model support. Switch between Gemini, GPT, and Claude instantly without vendor lock-in. Through lobeHub community, anyone can discover, reuse and remix agent teammates and agent groups — customizing them to fit their own workflows and needs. As shown in the video: find a People Search agent in the community, remix the prompt, and swap the tools to level it up. Then you can paste an arXiv link → extract authors → find contacts → send outreach. Useful for VCs, HRs, and sales in talent sourcing. With 70k+ GitHub stars, 14k forks, 6M downloads, this is the new standard for autonomous workflows.

The single-agent paradigm is obsolete. I’ve been testing LobeHub, and I have to say: LobeHub is the next generation of agent harness. Anyone can effortlessly build and team up with agent coworkers to deliver complex, systematic work.Manus and Claude Cowork stop at L3; LobeHub moves agents to L4. As shown in the video, the performance gap is significant: Vs Manus: LobeHub is ~3x faster and ~6.5x cheaper on complex tasks like Paper Analysis. Vs Claude Cowork: You get full multi-model support. Switch between Gemini, GPT, and Claude instantly without vendor lock-in. Through lobeHub community, anyone can discover, reuse and remix agent teammates and agent groups — customizing them to fit their own workflows and needs. As shown in the video: find a People Search agent in the community, remix the prompt, and swap the tools to level it up. Then you can paste an arXiv link → extract authors → find contacts → send outreach. Useful for VCs, HRs, and sales in talent sourcing. With 70k+ GitHub stars, 14k forks, 6M downloads, this is the new standard for autonomous workflows.

Chubby♨️

13,277 views • 5 months ago

"The future of AI is agentic. That includes browsers!" Imagine having an AI agent in your browser that can help you complete complex tasks, answer your questions, and streamline your workflow. Today I'm thrilled to share a sneak peek at Project Mariner, a cutting-edge research collaboration between Chrome and Google DeepMind, exploring the future of agentic AI within the browser! Building on the power of Gemini 2.0, Mariner envisions AI agents seamlessly guiding users through online tasks, streamlining workflows and enriching browsing experiences. Imagine having an intelligent co-pilot in your browser, anticipating your needs and proactively offering assistance. We're in the early stages of experimentation, focusing on core functionalities like understanding user intent, automating actions, and providing personalized recommendations. This prototype leverages Gemini's advanced natural language understanding and reasoning capabilities to interpret user requests, both typed and spoken. Mariner can then interact with web pages, retrieve information, and even perform actions like filling out forms or navigating to specific sites. For example, a user could simply ask "Find me a job near me," and Mariner would understand the request, navigate to a relevant job search site, and tailor the search based on the user's location and preferences. This is just one example of how we're exploring Gemini 2.0's potential to unlock agentic experiences through a series of prototypes, including: 1. Agents with multimodal reasoning: Project Astra, our research prototype exploring the capabilities of a universal AI assistant, is enhanced by Gemini 2.0. 2. Agents that can help you accomplish complex tasks: Project Mariner itself focuses on the future of human-agent interaction within the browser. 3. Agents for developers: Jules is an experimental AI-powered coding agent that integrates directly into a GitHub workflow. 4. Agents applied across domains: We're exploring agents for navigating video games and even applying Gemini 2.0's spatial reasoning to robotics. We believe that integrating AI agents directly into the browser has the potential to revolutionize how we interact with the web. Project Mariner aims to make browsing more intuitive, efficient, and personalized. By understanding user context and proactively offering assistance, Mariner can simplify complex tasks, save users time, and empower them to achieve more online. This aligns perfectly with the vision of Gemini 2.0 to create more helpful and intuitive AI experiences. We’re currently testing Mariner with a small group of trusted users to gather feedback and refine the user experience. We believe that this technology holds immense potential to transform the way we browse and interact with information online.

"The future of AI is agentic. That includes browsers!" Imagine having an AI agent in your browser that can help you complete complex tasks, answer your questions, and streamline your workflow. Today I'm thrilled to share a sneak peek at Project Mariner, a cutting-edge research collaboration between Chrome and Google DeepMind, exploring the future of agentic AI within the browser! Building on the power of Gemini 2.0, Mariner envisions AI agents seamlessly guiding users through online tasks, streamlining workflows and enriching browsing experiences. Imagine having an intelligent co-pilot in your browser, anticipating your needs and proactively offering assistance. We're in the early stages of experimentation, focusing on core functionalities like understanding user intent, automating actions, and providing personalized recommendations. This prototype leverages Gemini's advanced natural language understanding and reasoning capabilities to interpret user requests, both typed and spoken. Mariner can then interact with web pages, retrieve information, and even perform actions like filling out forms or navigating to specific sites. For example, a user could simply ask "Find me a job near me," and Mariner would understand the request, navigate to a relevant job search site, and tailor the search based on the user's location and preferences. This is just one example of how we're exploring Gemini 2.0's potential to unlock agentic experiences through a series of prototypes, including: 1. Agents with multimodal reasoning: Project Astra, our research prototype exploring the capabilities of a universal AI assistant, is enhanced by Gemini 2.0. 2. Agents that can help you accomplish complex tasks: Project Mariner itself focuses on the future of human-agent interaction within the browser. 3. Agents for developers: Jules is an experimental AI-powered coding agent that integrates directly into a GitHub workflow. 4. Agents applied across domains: We're exploring agents for navigating video games and even applying Gemini 2.0's spatial reasoning to robotics. We believe that integrating AI agents directly into the browser has the potential to revolutionize how we interact with the web. Project Mariner aims to make browsing more intuitive, efficient, and personalized. By understanding user context and proactively offering assistance, Mariner can simplify complex tasks, save users time, and empower them to achieve more online. This aligns perfectly with the vision of Gemini 2.0 to create more helpful and intuitive AI experiences. We’re currently testing Mariner with a small group of trusted users to gather feedback and refine the user experience. We believe that this technology holds immense potential to transform the way we browse and interact with information online.

Addy Osmani

29,501 views • 1 year ago

The $AEGIS DApp portal is now open to all: 🛡️ At Aegis, we believe in empowering the blockchain full of security, transparency and innovation. The Aegis Dapp has been under development for several months prior to the launch of $AEGIS and with that we have been able to build what we believe has the potential to change how users go about their day to day security. We are thrilled to share our progress and truly exciting news with you all. 🎯 First things first, at Aegis, we want to make it clear that the value of what we seek to bring to security across the blockchain, comes from our big vision, our strong team, and our commitment to long-term goals. ℹ️ Let’s kick this off with some information that is constantly happening, which is behind the scenes. Our full team is dedicated to the opportunity that lays ahead of us with becoming the leading voice/name for security, grasping every aspect with innovation, hard work, passion and commitment to see this sector grow. Everyone is aware of how important security is, a heartwarming mention to Messari for including us on how they see this sector growing rapidly and pushing a 10 Billion evaluation. We take that recognition with full responsibility and gratitude as we've been working hard on some really powerful stuff that could change the game for our industry. If you read the title and report itself, I’m sure that’ll give you some insight to what’s coming, and to the vast extent of what you can expect Aegis to be working towards. —> 🤝 This comes from teaming up with others within this sector and coming up with new tech to projects driven by our community, within the pipeline you can be confident that what we are building will push the cryptocurrency industry as a whole into a better future, the magnitude to what Aegis brings will not stop until we can confidently say, “Negative security reports across the blockchain are at an all time low, thousands of users are satisfied that Aegis is protecting them and their assets.” We're sticking to our vision no matter what the market does or whatever else comes our way. We plan to build what we set out to and we will see to it that our ecosystem is met. We've been working on some pretty amazing products that will be available within our Dapp, let’s go over what we offer: * AI Audits * Live Monitoring * Penetration Testing * Bug Bounties * Live Watchdog * Token analytics for everyday users, developers, teams, auditors, institutions, investors. ⬇️ Let’s break it down for you in some simple steps: AI AUDITS: We have trained our LLM models as AI AGENTS, these consist of 3 people ( AI AGENTS ) for the audits that are performed. - Audit - Reviewer - Judge Each one analyzes with a different personality, let’s check what personalities our AI AGENTS consist of: 3 different perspective auditors. 1 - Fine-tuned model x amount reads the code and generates the audit. ✅ 2 - Model x amount reviews the code and fact checks thoroughly. ✅ 3 - Model x amount ranks the code based on the severity outcome. ✅ ⌚️ Live Monitoring/Watchdog: The Live Monitoring/Watchdog system is designed to provide real-time surveillance of smart contracts, ensuring the detection and prevention of any potentially harmful transactions or malicious activities. Through the utilization of an AI Agent model, the system is trained to proactively identify and thwart suspicious behavior, thereby safeguarding the integrity of the smart contracts. Also, a paid sophisticated threat detection model is available for more intricate protocols and Dapps, offering an advanced level of protection against potential threats. This proactive approach is crucial in mitigating the risk of exploitation and ensuring the security of the smart contract ecosystem. 🖊️ Pen Testing: Our platform offers Pen Testing services to developers, providing a controlled environment for whitehat hackers to simulate attacks and identify vulnerabilities in smart contracts and protocols. In addition to human whitehat hackers, our AI Agents function as Red and Blue teams, actively engaging in simulated attacks to stress-test protocols and identify potential weaknesses. This comprehensive approach allows developers to proactively identify and address security issues, ultimately enhancing the robustness and resilience of their projects. 🕷️ Bug Bounties: Our Bug Bounty listing platform provides developers with the opportunity to list their protocols and offer bounties to white hat hackers for identifying vulnerabilities. By aggregating millions of bounties from various platforms and utilizing AI tools, we streamline the testing process, reducing up to 80% of the workload typically associated with security testing. This allows developers to efficiently identify and address potential vulnerabilities in their protocols, ultimately enhancing the overall security and resilience of their projects. 🪙 And lot more token analytics features for regular users, this will give you the opportunity to explore our Dapp for yourself and have some fun diving into the security platform of the future! I’m sure you’re excited to try it all out yourself, which is why we have some exciting news to bring to the #Guardians of the blockchain! But just before you continue the read and see the beans have been spilled, we have to take this opportunity to share with you that this large step to becoming a security leader is but only 20% of what we have revealed. This will be at the core of what Aegis stands for and hopes to achieve. The focus here is upon our Dapp, and in time we will slowly bring forward information/updates regarding segments of what makes Aegis a force to be reckoned with. Now that you’re fired up and excited to all of the announcements to come, let’s get to the news you’ve been waiting for! 🎉 We’re spilling the good news, and are happy to say we are now set for public release! The team at Aegis are overwhelmed with the development, support from teams, community, partners and more on what we believe to be an institutional-grade product. But the fun doesn’t stop there, this marks the start of what we aim to become, as it will take time and cycles to become better and better. Constant advancements will be set in place to attain the goal of achieving blockchain security. A statement from our CEO- Brian Hunt: “I can confirm from the security conferences I attended with Centralized security firms Peckshield, Hacken, Certik, BlockSec presentations, they are trying to achieve something similar and it will take them years. Decentralized AI for Security!” This initial drop of our dapp will be to get users signed up to gain access, in which we’ll whitelist users to get the ball rolling. 📣 To end this segment, let’s get the party started with the long awaited Aegis Ai Security Dapp and sign up now!

The $AEGIS DApp portal is now open to all: 🛡️ At Aegis, we believe in empowering the blockchain full of security, transparency and innovation. The Aegis Dapp has been under development for several months prior to the launch of $AEGIS and with that we have been able to build what we believe has the potential to change how users go about their day to day security. We are thrilled to share our progress and truly exciting news with you all. 🎯 First things first, at Aegis, we want to make it clear that the value of what we seek to bring to security across the blockchain, comes from our big vision, our strong team, and our commitment to long-term goals. ℹ️ Let’s kick this off with some information that is constantly happening, which is behind the scenes. Our full team is dedicated to the opportunity that lays ahead of us with becoming the leading voice/name for security, grasping every aspect with innovation, hard work, passion and commitment to see this sector grow. Everyone is aware of how important security is, a heartwarming mention to Messari for including us on how they see this sector growing rapidly and pushing a 10 Billion evaluation. We take that recognition with full responsibility and gratitude as we've been working hard on some really powerful stuff that could change the game for our industry. If you read the title and report itself, I’m sure that’ll give you some insight to what’s coming, and to the vast extent of what you can expect Aegis to be working towards. —> 🤝 This comes from teaming up with others within this sector and coming up with new tech to projects driven by our community, within the pipeline you can be confident that what we are building will push the cryptocurrency industry as a whole into a better future, the magnitude to what Aegis brings will not stop until we can confidently say, “Negative security reports across the blockchain are at an all time low, thousands of users are satisfied that Aegis is protecting them and their assets.” We're sticking to our vision no matter what the market does or whatever else comes our way. We plan to build what we set out to and we will see to it that our ecosystem is met. We've been working on some pretty amazing products that will be available within our Dapp, let’s go over what we offer: * AI Audits * Live Monitoring * Penetration Testing * Bug Bounties * Live Watchdog * Token analytics for everyday users, developers, teams, auditors, institutions, investors. ⬇️ Let’s break it down for you in some simple steps: AI AUDITS: We have trained our LLM models as AI AGENTS, these consist of 3 people ( AI AGENTS ) for the audits that are performed. - Audit - Reviewer - Judge Each one analyzes with a different personality, let’s check what personalities our AI AGENTS consist of: 3 different perspective auditors. 1 - Fine-tuned model x amount reads the code and generates the audit. ✅ 2 - Model x amount reviews the code and fact checks thoroughly. ✅ 3 - Model x amount ranks the code based on the severity outcome. ✅ ⌚️ Live Monitoring/Watchdog: The Live Monitoring/Watchdog system is designed to provide real-time surveillance of smart contracts, ensuring the detection and prevention of any potentially harmful transactions or malicious activities. Through the utilization of an AI Agent model, the system is trained to proactively identify and thwart suspicious behavior, thereby safeguarding the integrity of the smart contracts. Also, a paid sophisticated threat detection model is available for more intricate protocols and Dapps, offering an advanced level of protection against potential threats. This proactive approach is crucial in mitigating the risk of exploitation and ensuring the security of the smart contract ecosystem. 🖊️ Pen Testing: Our platform offers Pen Testing services to developers, providing a controlled environment for whitehat hackers to simulate attacks and identify vulnerabilities in smart contracts and protocols. In addition to human whitehat hackers, our AI Agents function as Red and Blue teams, actively engaging in simulated attacks to stress-test protocols and identify potential weaknesses. This comprehensive approach allows developers to proactively identify and address security issues, ultimately enhancing the robustness and resilience of their projects. 🕷️ Bug Bounties: Our Bug Bounty listing platform provides developers with the opportunity to list their protocols and offer bounties to white hat hackers for identifying vulnerabilities. By aggregating millions of bounties from various platforms and utilizing AI tools, we streamline the testing process, reducing up to 80% of the workload typically associated with security testing. This allows developers to efficiently identify and address potential vulnerabilities in their protocols, ultimately enhancing the overall security and resilience of their projects. 🪙 And lot more token analytics features for regular users, this will give you the opportunity to explore our Dapp for yourself and have some fun diving into the security platform of the future! I’m sure you’re excited to try it all out yourself, which is why we have some exciting news to bring to the #Guardians of the blockchain! But just before you continue the read and see the beans have been spilled, we have to take this opportunity to share with you that this large step to becoming a security leader is but only 20% of what we have revealed. This will be at the core of what Aegis stands for and hopes to achieve. The focus here is upon our Dapp, and in time we will slowly bring forward information/updates regarding segments of what makes Aegis a force to be reckoned with. Now that you’re fired up and excited to all of the announcements to come, let’s get to the news you’ve been waiting for! 🎉 We’re spilling the good news, and are happy to say we are now set for public release! The team at Aegis are overwhelmed with the development, support from teams, community, partners and more on what we believe to be an institutional-grade product. But the fun doesn’t stop there, this marks the start of what we aim to become, as it will take time and cycles to become better and better. Constant advancements will be set in place to attain the goal of achieving blockchain security. A statement from our CEO- Brian Hunt: “I can confirm from the security conferences I attended with Centralized security firms Peckshield, Hacken, Certik, BlockSec presentations, they are trying to achieve something similar and it will take them years. Decentralized AI for Security!” This initial drop of our dapp will be to get users signed up to gain access, in which we’ll whitelist users to get the ball rolling. 📣 To end this segment, let’s get the party started with the long awaited Aegis Ai Security Dapp and sign up now!

AEGIS AI

127,936 views • 2 years ago

I test a lot of AI creation tools… but NanoBanana inside Gamma genuinely felt different. Gamma just integrated NanoBanana a Google Gemini model available for free and the speed + polish instantly stood out. What NanoBanana changes I turned a single idea into a full deck in under 2 minutes. Clear outline, visuals, narrative not a rough draft, a usable starting point. Most tools stop at “generated.” NanoBanana in Gamma gets you to “ready to present.” Generate → Edit → Finish The best part? ▪️control the outline, tone, visuals ▪️refine every slide inside Gamma ▪️keep the same theme as you expand ▪️export to PPT, Google Slides, PDF, PNG It feels like AI with an actual studio workflow. One idea → Many outputs With the same prompt, I created: → a polished deck → a social carousel → a simple website All in one consistent style no rebuilding. NanoBanana gives the speed. Gamma gives the finish. Together, it’s the easiest way to go from idea → shareable content. Try NanoBanana in Gamma today create, polish, ship. 🔗 #gammapartner

I test a lot of AI creation tools… but NanoBanana inside Gamma genuinely felt different. Gamma just integrated NanoBanana a Google Gemini model available for free and the speed + polish instantly stood out. What NanoBanana changes I turned a single idea into a full deck in under 2 minutes. Clear outline, visuals, narrative not a rough draft, a usable starting point. Most tools stop at “generated.” NanoBanana in Gamma gets you to “ready to present.” Generate → Edit → Finish The best part? ▪️control the outline, tone, visuals ▪️refine every slide inside Gamma ▪️keep the same theme as you expand ▪️export to PPT, Google Slides, PDF, PNG It feels like AI with an actual studio workflow. One idea → Many outputs With the same prompt, I created: → a polished deck → a social carousel → a simple website All in one consistent style no rebuilding. NanoBanana gives the speed. Gamma gives the finish. Together, it’s the easiest way to go from idea → shareable content. Try NanoBanana in Gamma today create, polish, ship. 🔗 #gammapartner

Mohini Shewale

84,402 views • 7 months ago

Sergey Brin retired in 2020 with enough money to do anything on earth. Within weeks he felt himself mentally spiraling. The thing that pulled him back became Gemini. He said staying retired would have been a big mistake. The plan was simple sit in cafes, study physics, decompress after decades of building one of the most consequential companies in history. He had earned it. Then COVID shut every cafe on earth the month after he retired. He was stuck. No intellectual outlet. No creative problem to solve. No team to build with. Just time. And he said something happened to him in that time that scared him. He felt himself losing sharpness. Spiraling. Not being as sharp as he was used to being. So he went back. Not because he had to. Not because Google needed him. Because he needed it. He started coming into the office when almost nobody else was. Spent more and more time on a project that at the time did not have a name. That project eventually became Gemini, Google's flagship AI model, the thing they are now betting their next hundred years on. He said it plainly: staying retired would have been a big mistake. Most people think the goal is to stop working. Sergey Brin had the money to stop working and learned within months that the work was not the burden. The absence of it was. --- Watch the full interview YT. Search: "Big ideas begin here: Sergey Brin at Stanford"

Sergey Brin retired in 2020 with enough money to do anything on earth. Within weeks he felt himself mentally spiraling. The thing that pulled him back became Gemini. He said staying retired would have been a big mistake. The plan was simple sit in cafes, study physics, decompress after decades of building one of the most consequential companies in history. He had earned it. Then COVID shut every cafe on earth the month after he retired. He was stuck. No intellectual outlet. No creative problem to solve. No team to build with. Just time. And he said something happened to him in that time that scared him. He felt himself losing sharpness. Spiraling. Not being as sharp as he was used to being. So he went back. Not because he had to. Not because Google needed him. Because he needed it. He started coming into the office when almost nobody else was. Spent more and more time on a project that at the time did not have a name. That project eventually became Gemini, Google's flagship AI model, the thing they are now betting their next hundred years on. He said it plainly: staying retired would have been a big mistake. Most people think the goal is to stop working. Sergey Brin had the money to stop working and learned within months that the work was not the burden. The absence of it was. --- Watch the full interview YT. Search: "Big ideas begin here: Sergey Brin at Stanford"

Ihtesham Ali

230,652 views • 1 month ago