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Enhanced Model Selection UI We've upgraded the model selection interface, now displaying key insights like intelligence, speed, and creativity to help you choose the right model for your needs. Whether you're prioritizing fast prototyping, complex problem-solving, or creative flexibility, this update ensures a more informed selection process—making app generation... show more

ALCHEMIST AI 🔮

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Great News: We've rolled out the AIOZ DePIN V4.2.0 update. Your DePIN app is now more solid than ever! Key improvements include: → Boosted stability for seamless runs → Enhanced security for data protection → Bug fixes & UI polish for a clean and crisp feel This update is now LIVE, so no further action is needed. Let's keep powering Web3 at:

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Introducing Jan v3, with updates to Jan Desktop v0.7.6 💛 Jan v3 is our first v3 model, a 4B base built for fine-tuning and fast local use, with stronger math and coding. This release also includes a small Jan Desktop update, starting with a UI refresh as we move toward a more unified Jan experience. Try it: - Jan v3 is available in Jan Desktop and at - Get the latest desktop app at Model: - Jan-v3-4B: - Jan-v3-4B-GGUF: Thanks Qwen for the base model and Georgi Gerganov for llama.cpp 💛

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ALCHEMIST AI 🔮

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Fable 5 comes back！It can now build playable game prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.

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Kyle Fowler, who makes $1.5M/year from two apps he built around his own hobbies, says solving your own problem means you've already won whether anyone pays for it or not... "If you can solve a problem for yourself, the odds are that other people have that problem. Now, will they maybe pay for it? Like, I don't know." "Either way, if you build an app for something you're passionate about and solves your problem, you've won no matter what. Because you've solved your problem." "I've just always wanted to work for myself doing something I love. And what better way than solving your own problems to do that?"

Kyle Fowler, who makes $1.5M/year from two apps he built around his own hobbies, says solving your own problem means you've already won whether anyone pays for it or not... "If you can solve a problem for yourself, the odds are that other people have that problem. Now, will they maybe pay for it? Like, I don't know." "Either way, if you build an app for something you're passionate about and solves your problem, you've won no matter what. Because you've solved your problem." "I've just always wanted to work for myself doing something I love. And what better way than solving your own problems to do that?"

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Bad at drawing different types of faces? With Clip Studio Paint's 3D head model, you can adjust parts like the face shape and eyes, or even change the angle. It's a great help when you want to draw a face shape you're unfamiliar with, or when you want to draw the same face repeatedly. For more information here ↓ #clipstudio

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Breaking news 🗞️ 🚨 Tesla just quietly solved a problem in Australia. The Model X is gone from our market. But the new Model Y L Premium AWD might actually be the closest thing we have to a replacement. And honestly… it makes a lot of sense. ⚡ Tesla Model Y L – Key Specs • 0–100 km/h: ~5.0 sec • Range: ~681 km WLTP • Top speed: 201 km/h • Seating: 6 adults • Supercharging: 250 kW • ~288 km added in 15 min 💰 Australian pricing (before on-road costs) Model Y Long Range AWD → $68,900 Model Y L Premium AWD → ~$74,900 So for roughly $6k more, you get: ✔ 3 rows ✔ 6 seats ✔ Much larger cabin ✔ ~400L extra cargo capacity ✔ Longer wheelbase ✔ Even more range 📊 Quick comparison Model Y Long Range AWD • 5 seats • ~600 km range • 0–100 km/h: 4.8 sec • $68,900 Model Y L Premium AWD • 6 seats • ~681 km range • 0–100 km/h: 5.0 sec • ~$74,900 So performance drops slightly, but practicality goes way up. 🇦🇺 Why this matters in Australia Since Tesla stopped selling the Model X locally, there has been a real gap in the lineup for larger families. The Model Y L doesn’t completely replace the X. You lose things like: ❌ Adaptive air suspension ❌ Driver instrument cluster ❌ Falcon Wing doors ❌ Some luxury interior touches But you still get: ✔ Tesla software ecosystem ✔ Supercharger network ✔ Massive range ✔ Practical 3-row seating And at a much lower price than a Model X ever was. 👨‍👩‍👧‍👦 Who this is perfect for • Growing families • Current Model Y owners needing more space • Former Model X buyers • Anyone considering EV9 / EX90 but wanting Tesla’s ecosystem Personally, as a Model X owner, this is the first Tesla sold in Australia that actually feels like a realistic successor. I’m seriously considering replacing my Model X with the Model Y L, possibly around the end of Q2 or mid-Q3 this year. Not a perfect Model X replacement. But for Australia right now? This might be Tesla’s smartest family vehicle yet. ⚡🇦🇺 ORDER NOW : Tesla Australia & New Zealand Tesla AI

Tesla in the Gong 🇦🇺🦘🤖🚕

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Attio

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Most AI agent setups treat every message the same. Simple question? top-tier model. complex task? top-tier model. Your token bill just keeps climbing. I tested OpenSquilla this week on a real document drafting workflow, and the routing caught me off guard. It judges each message's complexity locally, then picks the model tier that fits. Simple tasks go to cheaper models. Complex ones still get the heavy lifting done. You're not paying reasoning tokens for a "hello." I ran a longer workflow, and the context didn't collapse the way it usually does. It distills important information before compression, so you're not starting from scratch mid-session. If you run agents regularly, the bill adds up faster than you think. This is built specifically for that problem. They're running the 10M Token Bill Challenge right now. worth joining if you want to see what smart routing actually saves you in practice. #10MTokenChallenge OpenSquilla

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Every week, the price-intelligence-latency frontier shifts, and we expect this trend to continue Across 100+ use cases in our product, keeping all up to date with the right model is a challenge - Either we're losing out on intelligence for the dollars we spend, or we're spending too much money for the intelligence the feature needs Ramp Router lets you benefit immediately without rewriting your application. We cut our LLM costs by 30%, while also making our features smarter and faster. We built it for Ramp. Now we’re opening it up to everyone. get access here:

Every week, the price-intelligence-latency frontier shifts, and we expect this trend to continue Across 100+ use cases in our product, keeping all up to date with the right model is a challenge - Either we're losing out on intelligence for the dollars we spend, or we're spending too much money for the intelligence the feature needs Ramp Router lets you benefit immediately without rewriting your application. We cut our LLM costs by 30%, while also making our features smarter and faster. We built it for Ramp. Now we’re opening it up to everyone. get access here:

rahul

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Jan Desktop v0.7.7 is live 💛 This update brings native MLX support on macOS, a broader UX and UI refresh across the app, and better support for developer workflows. You can now upload files in Projects, use the local API server with both local and remote models, and work more smoothly with tools like Claude Code and other CLIs. Update your Jan or download the latest version at

Jan Desktop v0.7.7 is live 💛 This update brings native MLX support on macOS, a broader UX and UI refresh across the app, and better support for developer workflows. You can now upload files in Projects, use the local API server with both local and remote models, and work more smoothly with tools like Claude Code and other CLIs. Update your Jan or download the latest version at

👋 Jan

28,378 görüntüleme • 5 ay önce

🚀 More Weather Models For Free & Outlooks are Back! Build confidence in your forecast by comparing even more weather models, for free: - ECMWF 🇪🇺 - IFS - AIFS - Canadian 🇨🇦 - GDPS - RDPS - HRDPS (Continental and North regions) - ICON 🇩🇪 - Global - Europe (EU) - Germany (D2) Also, the Outlooks tab is back... Back by popular demand, we've added Outlooks back to the top bar. Now you can enjoy the best of both worlds: use Outlooks in a dedicated mode or overlay it while viewing Radar, Composite, Satellite, or Models. There's more... - Up to 6 model runs for HRRR, RAP & RRFS - Added Relative Humidity, Total Precipitation, 1 & 4km Reflectivity, Significant Tornado Parameter, and many more - Select specific hours for a model run - Unit settings for Precipitation and Pressure Available now on: iOS: Android: Browser: And to Plus/Pro subscribers using our Windows/Mac/Linux App

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WeatherWise.app

39,606 görüntüleme • 10 ay önce

Gemini Spark is coming to the Google Gemini for macOS. Plus, we’re rolling out more updates to your 24/7 personal AI agent in the Gemini app: 🔌 Support for custom Model Context Protocol (MCP) to build a more tailored assistant 📎 Integrations with Canva, Dropbox, Instacart, OpenTable and Шикамару Нара ✅ Connections with Google Tasks and Google Keep to turn brain-dumps into action items 🗞️ Track real-time topics and events like sports, stocks and news so you don't have to hit refresh

Gemini Spark is coming to the Google Gemini for macOS. Plus, we’re rolling out more updates to your 24/7 personal AI agent in the Gemini app: 🔌 Support for custom Model Context Protocol (MCP) to build a more tailored assistant 📎 Integrations with Canva, Dropbox, Instacart, OpenTable and Шикамару Нара ✅ Connections with Google Tasks and Google Keep to turn brain-dumps into action items 🗞️ Track real-time topics and events like sports, stocks and news so you don't have to hit refresh

Google

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We are excited to introduce Stable Fast 3D, Stability AI’s latest breakthrough in 3D asset generation technology. This innovative model transforms a single input image into a detailed 3D asset in just 0.5 seconds, setting a new standard for speed and quality in the field of 3D reconstruction! Alongside this release, we’ve also published a technical report that highlights how we achieve fast inference speeds with reduced baked illumination and material parameters. 👾You can learn more and access the report here:

We are excited to introduce Stable Fast 3D, Stability AI’s latest breakthrough in 3D asset generation technology. This innovative model transforms a single input image into a detailed 3D asset in just 0.5 seconds, setting a new standard for speed and quality in the field of 3D reconstruction! Alongside this release, we’ve also published a technical report that highlights how we achieve fast inference speeds with reduced baked illumination and material parameters. 👾You can learn more and access the report here:

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