China’s AI chip market is rapidly shifting, with domestic players capturing 41% share and shipping 1.65 million GPUs in 2025, cutting deeply into Nvidia’s dominance, now down to ~55% from 95% pre-sanctions. Huawei leads the local surge with nearly 20% market share, fueled by
AI
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Sakana AI Announces First Commercial Product Sakana Marlin Beta Test
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We are proud to announce Sakana AI's first commercial product! 🐟 "Sakana Marlin" is an autonomous "Ultra Deep Research" assistant that functions as your Virtual CSO. By simply providing a single theme, it leverages the autonomous workflow technology of the "AI Scientist" published in Nature magazine last week and our proprietary reasoning scaling to autonomously think deeply and explore for up to 8 hours. Instead of mere surface-level summaries, it completes in one day the kind of advanced strategic research that professional research teams spend weeks on, generating detailed reports and presentation slides. Please read our blog article and consider applying to become a closed beta tester! 👇 — 🐟Ultra Deep Research Assistant "Sakana Marlin" – Beta Tester Recruitment 🐟 Sakana AI has developed "Sakana Marlin," an AI research assistant for business use powered by proprietary agent technology, as our first commercial product. sakana.ai/marlin-beta Sakana Marlin is an autonomous research assistant based on our unique long-term reasoning technology that accomplishes advanced business research. Key Features
・ Given a theme, it autonomously conducts research for nearly 8 hours
・ Automatically generates detailed investigation documents and summary slides
・ Designed to replicate professional strategic research that multiple teams spend weeks on Conceived as a solution that maximizes AI's potential for making high-quality decisions in complex social circumstances. This technology combines insights from "AI Scientist," the automation of scientific discovery published in Nature magazine, with "AB-MCTS" enabling strategic exploration. It realizes "efficient reasoning scaling" where output quality improves the longer the AI thinks. Closed Beta Test Launch
Target participants include those engaged in advanced research on a daily basis, such as strategic planning/business planning divisions at financial institutions and corporations, consulting firms, and think tanks (free during the beta period). We will continue to improve based on your feedback. ▼ Apply for Closed Beta Tester
forms.gle/MYHGP1wi2q4PHYPA7 [Translated from EN to English]→ View original post on X — @sakanaailabs, 2026-04-02 08:28 UTC
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Training AI to Read and Decide Across Conversations
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I taught the AI how to read and decide over many conversations. It is really good at this point. Each section is done differently. I should get it to explain how it works on each section
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ChatGPT Users Migrate to Claude Impacting OpenAI Stock
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Le monde quitte ChatGPT à une vitesse incroyable La dernière personne de mon entourage qui utilisait ChatGPT est passée à Claude hier 100 % des gens que je côtoie utilisent Claude Conséquence : les actions @OpenAI sont invendables en ce moment selon @Bloomberg
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Sakana Marlin: AI Research Assistant, Beta Testing Recruitment Open
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🐟Ultra Deep Research Assistant "Sakana Marlin", Beta Tester Recruitment🐟 Sakana AI has developed "Sakana Marlin", our first commercial product – a business-focused AI research assistant powered by our proprietary agent technology. sakana.ai/marlin-beta Sakana Marlin is an autonomous research assistant based on our unique long-horizon reasoning technology that completes sophisticated business research. Key Features
・ Given a theme, autonomously conducts research for nearly 8 hours
・ Automatically generates detailed research documents and summary slides
・ Designed to replicate professional strategic research typically requiring weeks of work by multiple team members We conceptualized this solution to maximize AI's potential for making high-quality decisions in complex social situations. This technology combines insights from "AI Scientist" – the automation of scientific discovery recently published in Nature – with "AB-MCTS" which enables strategic exploration. We've realized "efficient inference scaling" where output quality improves the longer the AI reasons. Closed Beta Test Launch
We're targeting professionals who engage in advanced research daily: strategy/business planning divisions at financial institutions and corporations, consulting firms, think tanks, and similar organizations (free during the testing period). We'll continuously improve based on your feedback. ▼ Apply for Closed Beta Tester Here
forms.gle/MYHGP1wi2q4PHYPA7 [Translated from EN to English]→ View original post on X — @sakanaailabs, 2026-04-02 08:19 UTC
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Vibe Coding: The Most Addictive Programming Experience
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Vibe coding is more addictive than any video game ever made (if you know what you want to build).
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AI Trends Shifting from Hype to Real Value in 2026
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From hype to value: The #AI trends set to shape 2026
by Vijay Guntur @techradar Learn more: https://
bit.ly/4m0fUcn #ArtificialIntelligence #MachineLearning #ML #DL -
Plan-Execute-Verify: The AI Coding Loop for Faster Shipping
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AI coding has a cheat code. It's not a tool, a model, or a better prompt template. It's a shift in how you structure the work. Most developers write one big prompt, hit enter, and hope for the best. When the output isn't right, they describe the problem, the AI "fixes" it, and a new problem shows up. Three rounds later, they're further from where they started. The developers who ship fastest never ask the AI to do everything at once. They run every task through a simple loop: 𝗣𝗹𝗮𝗻 → 𝗘𝘅𝗲𝗰𝘂𝘁𝗲 → 𝗩𝗲𝗿𝗶𝗳𝘆 It starts with the 𝗣𝗹𝗮𝗻. Before the AI writes a single line of code, define the goal and constraints for just the next step. Not the whole feature, just the next piece. Even better, ask the AI to reason through the approach first. You catch bad assumptions before they become bad code. Then you 𝗘𝘅𝗲𝗰𝘂𝘁𝗲. Let the AI generate, but keep the scope tight. Not "build the entire auth system." Instead: "Add JWT verification middleware that reads from the Authorization header and returns 401 on expired tokens." Then you 𝗩𝗲𝗿𝗶𝗳𝘆. Review the diffs. Run the tests. Give specific, actionable feedback. "That's wrong" is a terrible prompt. "The middleware should return 401, not 403, and check the Authorization header instead of X-Token" gives the AI everything it needs to course-correct in one shot. 𝗩𝗮𝗴𝘂𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗰𝗿𝗲𝗮𝘁𝗲𝘀 𝗹𝗼𝗼𝗽𝘀. 𝗣𝗿𝗲𝗰𝗶𝘀𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗰𝗹𝗼𝘀𝗲𝘀 𝘁𝗵𝗲𝗺. Then you go back to Plan and repeat. This works because AI is excellent at small, well-defined tasks and unreliable at large, ambiguous ones. The mental shift: you're not trying to write the perfect prompt. You're building a rhythm of small, verifiable steps that works the same way across any tool. Terminal agent, IDE copilot, browser-based builder. 𝗧𝗵𝗲 𝗹𝗼𝗼𝗽 𝗶𝘀 𝘁𝗵𝗲 𝗰𝗼𝗻𝘀𝘁𝗮𝗻𝘁. 𝗦𝘁𝗼𝗽 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗯𝗶𝗴 𝗽𝗿𝗼𝗺𝗽𝘁𝘀. 𝗦𝘁𝗮𝗿𝘁 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝘀𝗺𝗮𝗹𝗹 𝗹𝗼𝗼𝗽𝘀. The article below covers Vibe coding best practices with hands-on examples. Do check it out. Akshay 🚀 (@akshay_pachaar) x.com/i/article/203930514901… — https://nitter.net/akshay_pachaar/status/2039326670797369346#m
→ View original post on X — @akshay_pachaar, 2026-04-02 07:40 UTC
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13 Essential AI Tools to Boost Your Productivity
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1. Claude (solve any problem) 2. Perplexity (research anything) 3. Portfoliotab (create your portfolio) 4. Klingai (create AI videos) 5. Tripo AI (create 3D models) 6. Gemini (perfect writing) 7. Capcut (edit videos) 8. The AI Library (helpful tools) 9. Youlearn (summarize YouTube) 10. Canva (design graphics) 11. ElevenLabs (clone voices) 12. Podcastle (edit podcasts) 13. ✅ Save this list, it might be incredibly useful.
→ View original post on X — @aihighlight, 2026-04-02 07:33 UTC