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We love seeing our learners reach new milestones! 🚀 Huge congratulations to Omar Wael for completing the Machine Learning Specialization! We’re thrilled to see such thoughtful reflections on their journey—take a look at this highlight from Omar's recent post below. Read Omar's full post on our forum to hear more about their experience: Reflections on completing the Machine Learning Specialization #DeepLearningAI# #MachineLearning# #LearnerSpotlight# #Education# #AICommunity#
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London AI Scene Reality Check: 4 On-the-Ground Observations This week in London I attended a Cursor local meetup at Daisy Green — cherry blossoms by the logo and limited-edition Cafe Cursor coffee beans. Dozens of people showed up: Cloudflare system engineers, Meta engineers, indie app builders… The line that stuck with me most came from a local AI GTM person: “London’s AI scene is still a lowland.” 1️⃣ Overall vibe is very chill, mostly B2B Projects cluster in finance, healthcare and other verticals. There’s none of the all-in intensity you feel in China. 2️⃣ Big-tech layoffs have pushed many engineers into side projects Local tech companies went through rough layoffs. Lots of engineers are building their own things, but most lack GTM skills. Surplus of talent, scarcity of growth — a clear structural gap. 3️⃣ What people who moved from the Bay Area say Met a Cloudflare engineer who relocated from the Bay. He’s vibe-coding an app that turns walking notes into image + voice memos. His take: visas are easier, funding still mostly comes from US VCs; lower pay, better work-life balance, but far lower density of AI opportunities than the Bay. 4️⃣ Community is fragmented No integrated AI community like in China or the Bay Area. Many developers complain about the lack of hackathons, especially large ones. For community builders, this is open territory.
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🤖 AI + Community + Automation​ The future isn't about working harder.​ It's about building smarter systems.​ AI Bull was designed to assist users with repetitive operations, improve efficiency, and provide a smoother experience within the ecosystem.​ 🐮 Automatic Participation 🐮 Automatic Reinvestment 🐮 Automatic Replenishment​ One Bull. Multiple Functions.​ Welcome to the next step of the TokenAI ecosystem.​ #TokenAI# #DeBox# #Token# #Ai# #YYAI# #YY# #DEX# #GameFi# #WEB3# #XStocks# #DAPP# #DeFi# #BSC# #USDT# #Swap# #RWA# #NFT#
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🌟 Ghast AI Community Weekly Recap 🌟 Another productive week for the Ghast AI community! Missions #9–11# have officially wrapped up, with great participation across the community. We’ve also seen some impressive content submissions, with members continuing to bring fresh ideas, creativity, and genuine effort to their work. 👉 Mission #12# Is Ongoing! This time, we’re taking Ghast AI beyond the screen. Mission #12# challenges you to go outside and have a date with Ghast AI! Take Ghast with you to a café, restaurant, park, or any wonderful scenery and capture the moment. If you haven’t participated yet, head over to our Discord and join the community. Stay active. Stay creative. And Secure your WL spot!
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🌟 Ghast AI Community Weekly Recap 🌟 Over the past week, our community has been actively completing missions, tackling challenges, sharing feedback, creating content, and climbing the leaderboard. Mission #7# is still ongoing, with more members completing their first interactions with Ghast AI and earning rewards. If you haven't joined yet, there's still time to participate! We also launched our first-ever Creators Spotlight, recognizing community members who produced outstanding, high-quality content. Meanwhile, the Ghast Agentic Protocol Revamp is in full swing, with our updated EXP system rewarding meaningful contributions in various ways. A sincere thank-you to everyone who continues to build, create, and support Ghast AI in these early stages.
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I feel like all AI community on X are at #Google# in the same room right now. If you see it, let’s connect!
PyTorch conferences are the open source AI community’s town square, where what’s next gets decided. At #PyTorchCon# NA 2026, Core PyTorch sessions focus on the framework itself and the engineering work shaping how it is built and extended. The program spans torch.compile and dynamic shapes, distributed communication, out-of-tree backends, the release process and CI, profiling and observability, tensor layouts, stable ABI, and accelerator backends. Featured speakers include: @AMD: Prachi Gupta @awscloud Annapurna Labs: Esha Lakhotia @Google: Claudio Basile @Huawei: Jiahao Chen and Jiahao Tan @IBM: Olivier Tardieu and Dave Grove @IBMResearch: Matthew Arnold, Antoni Viros i Martin, and Avery Blanchard @intel: Yu Guangye, Eikan Wang, Panos Kourdis, and Tanima Dey @Meta: Andrey Talman, @drisspg, @rice_fry, Kapil Sharma, Natalia Gimelshein, William Wen, Steven Troxler, @__avik, @sanketpurandare, @aditvenk, Elias Ellison, @janeyx99, Simon Layton, Laith Sakka, Angel Li, Richard Zou, and Yidi Wu @nvidia: @memorypaladin, Sreeram Potluri, and Artem Polyakov @RedHat: Subin George Malana, Jewel K M, Sean McGovern, and Christopher Leonard @amazon: Pinak Panigrahi Register by September 4 to save: Read the Core PyTorch session guide:
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