The gap between idea and deployment just got smaller. Sentio AI Skills lets your agent scaffold processors, write SQL queries, set alerts, and build dashboards — all from natural language. Just describe what you want. The agent handles the rest.

Sentio just got a lot more talkative. AI Skills lets your coding agent speak Sentio natively — describe the processor, SQL query, alert, or dashboard you want, and it ships end-to-end. Two skills. Auto-activated: ➡️ sentio-processor — scaffold, write, test, upload across 8+ chains ➡️sentio-platform — SQL, alerts, dashboards from natural language This is what AI-native infra actually looks like. #AI# #Sentio#

Don’t let your laptop tell you you’re doing too much. With #IntelCoreUltra# Series 3 you can create and edit and record and upload and stream and game, all in one thin, light laptop. #AICompute# #Processor# #CPU#

JUST IN: 📱Trump Mobile has unleashed its first smartphone — the bold T1. This striking gold Android flagship rings in at just $499 and comes loaded with Trump branding, a Snapdragon 7-series processor, 12GB of RAM, a massive 512GB storage, and a powerful 50MP triple camera system.

The owl is curious. What are you building with Sentio? Drop it below — dashboards, processors, alerts, anything. The community should see what's being built on the data layer.

JUST IN: AI CHIPMAKER CEREBRAS JUST PRICED ITS IPO AT $185 PER SHARE, ABOVE THE $150-$160 MARKETED RANGE The order book was oversubscribed 20+ times. The full picture, per Bloomberg: The deal: - IPO price: $185 (above the $150-$160 range, which had already been raised Monday) - 30 million shares offered (also revised higher Monday) - Total raised: ~$5.55 billion - Order book: 20x+ oversubscribed - Cerebras asked institutional investors to specify the max price they'd pay, to gauge true demand The company: - AI chipmaker positioning to challenge NVIDIA $NVDA - Amazon $AMZN said this year it plans to use Cerebras chips alongside its Trainium processors - OpenAI released its first model running on Cerebras chips in February - OpenAI holds 33.4 million warrants for Cerebras shares, with some vesting tied to compute delivery dates and Cerebras' market cap exceeding $40 billion The M&A backdrop: - Arm Holdings $ARM and majority owner SoftBank made an approach to acquire Cerebras weeks before the expected IPO

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

Jensen called this “probably the single most important chart for the future of AI factories”. Y-axis is “Throughput” (total volume) while X-axis is “Token Speed” (more tokens per second = more interactivity for a user + more context + more reasoning). Cerebras IPO very much about the chart. Firms market and price token offerings on those two variables, which are in tension. A free tier typically is high throughput but lower token speed. Meanwhile, the priciest tier would have lower througput but high-value tokens (eg. research, coding) SemiAnalysis makes the analogy of a “bus vs a Ferrari: you can choose to serve lots of users slowly, a single user quickly, or anything in between.” Nvidia’s challenge is to build systems that lift the entire line up and to the right. Jensen says Vera Rubin architecture improves revenue opportunity 5x vs. Blackwell. Then, if you add Groq to Vera Rubin, that revenue opportunity is up 10x vs. Blackwell. Groq is Nvidia’s option for delivering the higher value tokens at speed, which is the same market that Cerebras is targeting. Cerebras is attacking the problem with a massive, single-wafer design. Meanwhile, Groq uses multiple, smaller, connected chips and a specialized processor architecture design (Language Processing Unit aka LPUs).

Lunch today. Here's the recipe and instructions: Pesto Veggies with Black Lentils and Sweet Potato 1–2 servings
 Prep: 15 min
 Cook: 25–30 min Total : 40–45 min Ingredients Veggie pesto: * 1 packed cup fresh basil leaves * 2 tablespoons olive oil * 2 tablespoons pine nuts * 1 small garlic clove * 1 to 2 tablespoons water, as needed Vegetables: * 1 cup cauliflower florets * 1 cup broccoli florets * 1/4 cup sliced red onion * 1 small garlic clove, minced * 1 cup cherry tomatoes, halved * 1 medium zucchini, sliced * 1 tablespoon avocado oil or and high smoke point oil Lentils and sweet potato: * 1 cup cooked black lentils, cooked in vegetable broth * 1 small sweet potato, peeled if desired and cut into cubes * Water for steaming or boiling Finishing: * 2 oz sliced black Kalamata olives * 1 teaspoon truffle oil, optional * Microgreens for garnish, optional Instructions: 1. Make the pesto * Add basil, olive oil, pine nuts, garlic, and a small splash of water to a blender or food processor. * Blend until smooth or slightly textured, depending on preference. * If needed, add a little more water to help it blend. * Taste and adjust seasoning if using salt. 2. Cook the lentils * Rinse the black lentils if needed. * Cook 1 cup of black lentils in vegetable broth according to package directions until tender but not mushy. * Drain any excess liquid if necessary and set aside. 3. Steam the sweet potato * Place the cubed sweet potato in a steamer basket or small pot with a little water. * Steam until fork-tender, about 10 to 12 minutes. * Set aside. 4. Sauté the vegetables * Heat 1 tablespoon oil in a large skillet over medium heat. * Add the red onion and garlic first and cook for 1 to 2 minutes. * Add cauliflower and broccoli and cook for 4 to 5 minutes. * Add zucchini and cherry tomatoes and continue cooking for another 4 to 6 minutes, until the vegetables are tender but still vibrant. 5. Combine with pesto * Turn the heat to low. * Add the pesto to the vegetables and stir well to coat everything evenly. * If the mixture is too thick, add a small splash of water to loosen it. 6. Assemble the dish * Spoon the cooked black lentils onto plates or into bowls. * Add the steamed sweet potato. * Top with the pesto vegetables. * Add sliced Kalamata olives over the top. * Drizzle with truffle oil if using. * Finish with microgreens for garnish. Serving Suggestion * Serve warm as a main dish for 1 hearty serving or as 2 lighter servings. * This dish also works well with extra lemon juice on top if you want brightness. Health Benefits * Black lentils provide plant-based protein, fiber, iron, and slow-digesting carbohydrates that support fullness and steady energy. * Broccoli and cauliflower supply vitamin C, vitamin K, and glucosinolates, which support antioxidant and detoxification pathways. * Zucchini, tomatoes, red onion, and garlic add antioxidants and phytonutrients that support overall cellular health. * Sweet potato provides beta-carotene, potassium, and fiber, supporting immune and digestive health. * Basil, pine nuts, and olive oil contribute healthy fats and aromatic compounds that support satiety and flavor. * Kalamata olives add heart-healthy monounsaturated fats and a savory finish. * Microgreens add concentrated micronutrients and a fresh garnish.