Generative AI

Google may not be dead yet, but... the way we search is flipping fast. ➡️Google still commands ≈90% of global search. That’s 14 billion daily queries. ➡️LLM tools? They’re at 0.23 billion total. That’s 1 out of every 373 Google searches. ➡️But here’s the shift: ChatGPT and friends grew 81% YoY in “search-like” traffic. This isn’t a handover. It’s a remix. - Classic search still dominates for freshness, shopping, and deep vertical lookups. - LLMs are now the go-to for research, coding, content drafting, and complex problem-solving. ➡️Wharton studies say the real edge comes from using both: ChatGPT speeds things up, Google grounds them in accuracy. - Meanwhile, Google’s AI Overviews dropped click-throughs from 7.3% to 2.6%, yet total searches went up. - Search isn’t dying. It’s converging with chat. So what’s the smart play for builders and content leaders? - Structure content to get cited by LLMs. - Keep it fresh and factual to stay visible on Google. - Track how and where your audience starts their search. - We’re not watching search disappear. We’re watching it evolve. 👉 What’s your go-to these days for real answers: ChatGPT, Google, or both? Ready to put this into practice? Join the LeadWithAIAgents Hackathon (July 11–14). Build with AI agents, master orchestration, and launch something real—plus a shot at $10,000. It’s online, and it’s where the future gets hands-on: https://hubs.li/Q03vL2Yf0 #artificialintelligence #googleai #genai #chatgpt #seo #machinelearning

🚨BREAKING: Amazon Just Rolled Out DeepFleet, a Foundation Model for Robots The generative AI foundation model is built to manage the world’s largest industrial robot fleet. ➡️Over 1 million bots now move through 300+ warehouses using AI coordination. This model isn't built to talk. It's built to think in motion. - Trained on years of fulfillment center data - Built with AWS tools like SageMaker - Acts like air traffic control for robots - Improves robot travel time by 10%, cutting delays, costs, and energy use The shift is subtle but important. Foundation models aren't just for language anymore. Is the future of AI less about conversation and more about control systems? 🚀 Be where frontier AI happens — join us at GENAI Week 2025 and get 15% OFF tickets or exhibit passes with code GENAICOMMUNITY at checkout! 🎟️ https://hubs.li/Q03vKWYN0 #amazon #robotics #machinelearning #artificialintelligence #generativeai #aimodel

☕AI Investments: Meta Stock Breaks Records as Superintelligence Becomes the Mission Superteams at Meta and xAI, new funds for the margins, and a startup that listens The AI elite is crystalizing. Meta is stacking talent and dollars, aiming to lead the post-human era. Musk just raised another $10B to power Grok and a million-GPU buildout. While the giants escalate, a new wave is rising too, from Steven Lee’s fund for the forgotten 90%, to Omnisent, which wants to turn industrial noise into a data source. Read more and share your thoughts 👇 #ai #ainews #investment #genai

GPT-4o dominates across all 4 academic domains 🏆 What happens when top AI models go head-to-head in Engineering, Healthcare, Natural Sciences, and Humanities? One clear winner: GPT-4o. It leads in every category, proving it's not just versatile, it’s elite. From technical reasoning to literary nuance, GPT-4o consistently pulls ahead of Claude, Gemini, Deepseek, and Qwen. But the competition tells a deeper story: ✔️Claude holds strong in language and interpretive tasks ✔️Deepseek and Qwen shine in science-heavy domains ✔️Gemini makes the cut, but rarely tops the chart If you're building with AI, domain matters. So does model choice. Which model would you swear by, and why? Let us know in the comments!👇 Credits: @allen_ai (via X) 👉 Built an AI tool? Get it featured in our community of 12M+ https://hubs.li/Q03vBpq_0 #artificialintelligence #gpt4o # #llm #engineering #healthcare #naturalsciences #humanities #openai

🤯Sam Altman vs. Mark Zuckerberg: a culture war in AI is unfolding. Meta just raided OpenAI, hiring away key researchers like Shengjia Zhao and Jiahui Yu for its new “superintelligence” team. In response, Altman didn’t mince words. ➡️In a leaked memo, he called Meta’s talent-poaching spree a fast track to “deep cultural problems.” His jab: “Missionaries will beat mercenaries.” Translation: teams built on purpose will outlast those built on paychecks. Altman’s message highlights a growing divide: → Meta’s playbook: Scale fast, pay big, treat talent like chess pieces. → OpenAI’s stance: Lead with mission, protect culture, think long term. For leaders hiring in AI, this raises big questions about how to build resilient, value-driven teams. For professionals, it’s a moment to ask what truly drives your best work. What matters more: a bigger paycheck or a mission worth building for? Credits: WIRED 📣 Stay ahead with AI news in real time. Follow us on X for expert takes, live updates, and top trends as they happen. https://x.com/GenAI_Now #artificialintelligence #openai #meta #aiethics #samaltman #markzuckerberg #futureofwork

💡Claude just dropped a treasure chest of 8 wild, practical AI builds From a ping pong game coded from scratch (no engine!) to an argument simulator that goes “nuclear” on your hot takes, these aren’t just weekend hacks,they’re proof of how far GenAI has come in making ideas real, fast. Our favs: - A trippy math-art generator for edtech & creatives - A “Conversation Analyzer” that measures how well you listen (scary accurate) - A code wizard that explains React bugs like a chill mentor These builds aren’t just cool, they’re replicable. Imagine having your junior devs or prompt engineers remix these as internal tools or teaching demos. Built using Claude’s artifact lab, they’re free to explore, remix, and evolve. What would you build if AI could do most of the coding for you? 👉 Want to dive into these and other latest AI breakthroughs and meet the leaders shaping its future? Don’t miss RAISE Summit 2025, July 8-9 in Paris. 🎟️ Get 20% off as part of the GenAI Community → https://hubs.li/Q03vzbnW0 Not in Europe? Join us at GENAI Week, July 13-17 in Silicon Valley. 🎟️ Get 15% off your ticket or booth package → https://hubs.li/Q03vzdlQ0 Discount code: GENAICOMMUNITY #aiusecase #artificialintelligence #machinelearning #anthropic #claude #cheatsheet

🚀BREAKING: New GenAI model successfully creates antibodies from scratch in just 2 weeks Antibody discovery just got a serious speed boost, thanks to GenAI. Meet Chai-2: a zero-shot model that designs antibodies from scratch. -No animal testing. -No massive screens. -Just smart design that actually works. 🔹52 protein targets 🔹20 designs per target 🔹Hits on 50% of targets 🔹16% overall binding rate 🔹Timeline: 2 weeks instead of months Why it matters: Chai-2 doesn’t remix old data. It creates new, stable, and highly specific binders. And it works across antibodies, nanobodies, and miniproteins, even hitting picomolar-level strength. ➡️The result? Instead of screening 100,000 molecules, researchers can now test 20 purposeful designs and get real results. It’s a leap forward in how we build new medicine. If GenAI can do this today, what’s next? 🚀 Learn future skills. Build with AI agents. Compete for $10,000. LeadWithAIAgents Hackathon · July 11–14 → https://hubs.li/Q03vnJkc0 #artificialintelligence #genai #aiforgood #machinelearning #biotech #healthtech

If building a Lean AI startup means rethinking how you build product… …it also means radically rethinking how you build distribution and audience. You can't bolt it on later. Not in 2025. That's why we’re bringing together two sharp minds for a rare, unfiltered conversation on what it really takes to build something enduring in this new wave of AI: 🧠 Henry Shi — Founder of Super.com and creator of the Lean AI Leaderboard 💡 Jay Allardyce — Co-Founder of GenAI.Works and leader of one of the fastest-growing AI-native communities This live session is not another trend-chasing panel. It’s a playbook download for founders, builders, and GTM leads looking to actually ship, scale, and stand out in the noise. Here’s why it matters 👇 Henry’s Lean AI Leaderboard has become a living signal of who’s building real traction in AI — and how. The best teams aren’t over-engineering. They’re obsessing over time-to-value, audience feedback loops, and smart use of agents. They’re shipping faster and growing smarter. But one thing is still being overlooked by most founders: Demand Gen. Distribution. Audience-building as a product advantage. In this session, we’ll bridge the gap between building lean and growing loud — and show how top startups are doing both in public. 🗓 July 1st, 2025 ⏰ 10:30 AM PST 🎟️ Free, live, and interactive — bring your questions. Mark your calendar. You’ll want a notebook.

📢 60% 𝐨𝐟 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐞𝐱𝐩𝐞𝐜𝐭 𝐭𝐨 𝐛𝐞 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐝 𝐛𝐲 𝐀𝐈 𝐰𝐢𝐭𝐡𝐢𝐧 𝐭𝐰𝐨 𝐲𝐞𝐚𝐫𝐬. However, most organizations aren’t even close to putting AI at the forefront of their business strategies. The reality today is many businesses are still bolting AI onto legacy workflows instead of reimagining and transforming how work gets done. A new paper from Box reveals what separates 𝐀𝐈 𝐥𝐞𝐚𝐝𝐞𝐫𝐬 from those falling behind. 𝐓𝐨𝐩 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬: 🔄 AI frees people up to focus on innovation by handling routine work ⚙️ Being AI-first means redesigning workflows, not just automating tasks ⚡ AI-native design enables adaptive, collaborative systems for agent-driven interfaces 🔎 Success requires proper governance and change management 💪 Strong data management unlocks valuable AI insights Want to build a truly AI-first company? Get the 5 principles from 𝐁𝐨𝐱’𝐬 𝐧𝐞𝐰 𝐰𝐡𝐢𝐭𝐞 𝐩𝐚𝐩𝐞𝐫 𝐡𝐞𝐫𝐞: 📖 https://bit.ly/3TIBsga #AIFirst #ArtificialIntelligence #GenerativeAI 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘢 𝘴𝘱𝘰𝘯𝘴𝘰𝘳𝘦𝘥 𝘢𝘥 𝘣𝘺 Box

𝐘𝐨𝐮𝐫 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰, 𝐧𝐚𝐫𝐫𝐚𝐭𝐞𝐝 If your screen could talk, it would sound like this. Guidde turns your daily tasks into narrated video guides. ✔️ One click to record ✔️ AI-generated voiceover and callouts ✔️ No editing needed Training, onboarding, handoff — all covered. 𝐒𝐞𝐞 𝐆𝐮𝐢𝐝𝐝𝐞 𝐢𝐧 𝐚𝐜𝐭𝐢𝐨𝐧 🔗 https://hubs.li/Q03v74dX0 #generativeai #artificialintelligence #aivideo #ainews