#Hy3Preview is not only being used more. It is being used for harder problems. Usage data shows a high share of slow thinking interactions, pointing to strong adoption in complex reasoning, coding, and agent workflows. #AgenticAI #CodingAI #ReasoningModel @TencentAI_News

I'm finally getting to write a reasoning model. Waiting a long, long time for this. Starting to thing it was never going to happen. @digitalocean thanks for the $200 credits. Sebastian Raschka's (@rasbt) Build a Reasoning Model (From Scratch) MEAP looking clean with that big red SCRATCH stamp! #ReasoningModel #LLMReasoning #FromScratch #PyTorch!

The next phase of enterprise AI isn’t just generation; it’s understanding execution. The "Autonomous Enterprise" starts today. 🚀 Dola Seed 2.0 Pro is built for that shift: multimodal, agent-ready, and designed for production-scale deployment. The API is now live on BytePlus, with access via ModelArk and partner platforms. Ready to scale your intelligence? 🔗 Try it now → tinyurl.com/45nmm2c8 📅 Book a free consultation session → byteplus.com/en/contact-us (6/6) #BytePlus #DolaSeed #EnterpriseAI #AIAgents #ImageUnderstanding #VideoUnderstanding #ReasoningModel #ModelArk #OpenClaw

Introducing Dola Seed 2.0 Pro, referred to below as Seed 2.0 Pro We have launched Seed 2.0 Pro, our most capable model in the Dola Seed 2.0 series, engineered to power the next generation of autonomous AI agents. Enterprise AI is moving beyond models that simply analyze text or images. What businesses increasingly need are agents that can understand, reason, use tools, and execute tasks across complex workflows. That is exactly what Seed 2.0 Pro is built for. Seed 2.0 Pro combines strong reasoning with advanced image understanding and video understanding, giving enterprise agents the ability not only to interpret information, but also to take action. It is designed for high-value, multi-step enterprise workflows, with strong performance in: - tool calling - workflow execution across enterprise systems - agentic task completion - browser and computer use This makes Seed 2.0 Pro a powerful engine for a wide range of agent scenarios, from daily office automation and deep web research to in-depth report drafting, financial analysis, content moderation, physical inspection, and video creation workflows. It is also highly optimized for @openclaw and ReAct architectures, helping enterprises build agents that can navigate digital interfaces, enter information, and complete tasks with high reliability. In short, Seed 2.0 Pro is not just built to generate insights. It is built to serve as the brain and execution engine for enterprise AI agents. And it brings these capabilities at a highly attractive price point, making advanced agent deployment more practical for enterprise teams. Try Seed 2.0 Pro for free: tinyurl.com/45nmm2c8 Or book a free consultation: byteplus.com/en/contact-us #BytePlus #DolaSeed #EnterpriseAI #AIAgents #ImageUnderstanding #VideoUnderstanding #ReasoningModel #ModelArk #openclaw

💥🧠 Jensen 发布 Alpamayo，自动驾驶的“分水岭”被正式点名 $NVDA 首席执行官 黄仁勋 刚刚发布了 Alpamayo，并给了它一个极重的定义： 世界上第一个专门为自动驾驶打造的“思考与推理模型”。 这不是一次普通的模型发布。 而是 NVIDIA 罕见地，对自动驾驶 AI 的能力边界与发展顺序做出公开定调。 Alpamayo 的核心，并不在“更快的反应”，而在于更长时间的思考、更复杂的决策链条、更稳定的状态保持。 这意味着自动驾驶系统，正在从“感知 即时反应”，进入到连续推理与多步决策阶段。 更重要的是另一点。 NVIDIA 选择 开源 Alpamayo 的完整技术栈。 这不是象征性动作，而是一次明确的产业信号： 自动驾驶的下一个阶段，已经不再是单点公司能独占的能力。 它需要的是平台级能力的扩散与工程化落地。 这背后，是数千名工程师、多年真实世界验证、以及系统级架构演进的累积结果。 也意味着，自动驾驶的竞争，正在从“谁先做出 Demo”，转向： 谁能在复杂环境中持续思考、稳定运行、长期演化。 从 NVIDIA 的角度看，这一步非常清晰。 NVIDIA 并不是在推出一套“成品自动驾驶系统”， 而是在定义下一代自动驾驶 AI 的底层范式。 谁能真正把“推理型 AI”落地到现实世界的车辆系统中， 谁才有资格进入下一阶段的规模化竞争。 真正值得思考的不是： 谁第一个发布了“会推理的模型”。 而是： 哪些公司，已经具备把这种模型，变成真实道路长期运行系统的能力？ 📬我会持续追踪 $NVDA 在 AI 平台与自动驾驶基础设施层面的关键动作，以及这些技术如何重塑 $TSLA、Robotaxi 与整个智能交通体系的增长曲线。 欢迎订阅，在结构性变化被市场完全定价之前，提前完成判断。 $NVDA #NVIDIA #JensenHuang #AutonomousDriving #AI #ReasoningModel #SelfDrivingCars #AICapex

Excited to share our latest development, QFANG: A Scientific Reasoning Model for Organic Synthesis Procedure Generation. Check it out 👉arxiv.org/abs/2512.13668 #MicrosoftResearch #AIforScience #Chemistry #ReasoningModel #LLM

This isn’t just another LLM—it’s a lean, logic-first engine for real-world tasks. Follow along and be part of the journey. #AI #LLM #ReasoningModel #BuildInPublic

While the AI world buzzes about GPT-5, a powerful player is quietly making their big move. ➥ Baidu is rolling out a groundbreaking new reasoning model this month, designed for next-level complexity, according to a recent WSJ article. This follows a major step forward with the release of ERNIE X1 in March, and things are moving fast. And it also looks like they're releasing a new foundation model in the coming months... OpenAI, DeepSeek, Claude, Gemini… the race isn’t just global. It’s personal. Because whoever nails reasoning, wins the next decade. Call it the Great Intelligence Race. 🧠🔥 ➜ And spoiler: China isn’t playing catch-up anymore. #AI #Baidu #ReasoningModel #GPT5 #AGI #OpenAI #ChinaAI #TechNews

Big week for AI 🤩 Tomorrow, OpenAI is expected to drop GPT-5 their most powerful model yet. But what caught my eye is what’s happening on the other side of the world… Baidu is launching a new reasoning model later this month, built to handle more complex tasks, according to a new WSJ report. Earlier this year, they released ERNIE X1 but this new reasoning model is expected to be a big step up. And not only that, but it looks like they'll be launching a new foundation model as well... What’s interesting is: Despite chip restrictions, Chinese AI companies (like Baidu, Alibaba, DeepSeek) are aggressively pushing boundaries in reasoning and real-world task handling. This isn’t just an OpenAI story anymore. AI progress is becoming global, fast, and more competitive than ever. Super curious to see what GPT-5 can do tomorrow. But I’ll also be watching Baidu closely because reasoning is where the real future of AI lies. Let’s see who surprises us next. #GPT5 #Baidu #AI #ReasoningModel #TechNews #FutureOfAI

🚨 GPT-5: The Most Advanced Intelligence System Ever Released (August 2025 Drop | Full Decode Below) Here’s what it actually is — and why it matters: 1.Unified Supermodel: Text. Images. Code. Reasoning. One brain. No more switching. 2.o3 GPT-4o Fusion: Lateral logical reasoning fused into one general intelligence. 3.PhD-Level Thinking: Math, science, and physics precision. Olympiad-tier capabilities. 4.Agent Mode: GPT-5 doesn’t just chat — it executes. APIs, tools, web workflows. 5.Autonomous Code Architect: It builds full-stack apps solo. Debugs. Plans. Ships. 6.Multimodal Mastery: Images, voice, maybe even video — all natively supported. 7.Long Memory: Remembers what you said 100K tokens ago. Personalized by design. 8.Reduced Hallucinations: More signal, less noise. GPT-5 reasons, explains, and verifies. 9.3 Versions: 🧠 GPT-5 (full) 🪶 GPT-5 Mini 📦 GPT-5 Nano (on-device, light inference) 10.Not AGI — But Getting Closer Autonomous agents real-world logic = AGI scaffolding begins. — 👁‍🗨 What it really is: A logic machine. A cognitive framework. A synthetic mind that thinks, plans, and builds. This isn’t a product drop. It’s the first public glimpse of AGI architecture. #GPT5 #AI #OpenAI #ReasoningModel #Multimodal #AGI #NoVeil

Hmm...will Si be a thing? #reasoningmodel #inference #asi #singularity #openadoortoday

LLMが、最近 私達人間は、と言う確率が増えてる気がする。 reasoningmodel特有の現象なのかな? GoogleAIstudioでもそうだから、 多分記憶共有とは関係ない。

♦️Chinese AI Firm MiniMax Challenges DeepSeek with Super-Efficient Reasoning Model ♦️ Shanghai-based AI startup MiniMax unveiled its open-source M1 reasoning model, claiming it uses half the compute of DeepSeek-R1 for tasks under 64,000 tokens. Built on a 456B-parameter foundation, M1 matches top global models in math, coding, and knowledge. With a 1M token context window, it's poised for complex real-world applications. #AI #MiniMax #DeepSeek #ChinaAI #OpenSource #ReasoningModel #TechNews #LLM #AIRevolution

🚀 Big AI News! Microsoft-backed 🇫🇷 Mistral AI has launched its first reasoning model — directly challenging OpenAI’s o1 and China’s DeepSeek R1. 🎙️ At London Tech Week, CEO Arthur Mensch unveiled Magistral, calling it: 🧠 Multilingual 💻 Great at math & coding 🌍 Optimized for European languages Unlike closed models, Mistral’s open-weight approach lets developers freely tweak and build — saving huge time & cost. 🛠️💸 💬 “US models reason in English. Chinese models in Chinese. We built ours to think in many languages,” said Mensch. 📊 With support from Microsoft, Mistral is positioning itself as Europe’s open-source LLM powerhouse. #MistralAI #Magistral #OpenAI #DeepSeek #ReasoningModel #AInews #Microsoft #LLMs #OpenSourceAI #TechNews #ChatGPT #EuropeAI

🚀 #Magistral, @MistralAI’s first reasoning model, is here and now deployable with #BentoML! This release features two variants: - Magistral Small: 24B parameter open-source version - Magistral Medium: Enterprise-grade, high-performance version Highlights of Magistral Small: 🔧 Built on Mistral Small 3.1 🧠 Purpose-built for step-by-step, transparent reasoning 🔬 Optimized for legal, finance, healthcare, engineering, and creative applications ⚖️ High performance: AIME24 70.68%, GPQA 68.18% 📈 Up to 128k context window (best performance under 40k) 🌍 High-fidelity multilingual reasoning 🔓 Apache 2.0 license 👉 Customize your inference with BentoML: github.com/bentoml/BentoVLLM… 👉 Prebuilt Bento available on #BentoCloud. See the demo below ⬇️ #OpenSource #LLM #ReasoningModel #AI

Meet #BioReason: The World’s 1st #ReasoningModel in #Biology that Enables #AI to Reason about #Genomics like a Biology Expert #ArtificialIntelligence #LargeLanguageModels #LLMs #Tech #Technology #DNA buff.ly/F5sVwPY

It's so damned frustrating that ChatGPT isn't as nuclear-smart as it's smart about other topics. Nick, I don't for an instant doubt your knowledge. To help you understand how ignorant newbies like myself stay ignorant, here's what I learned from ChatGPT, which disagrees strongly with itself depending on which model you choose. When I asked GPT 4o-mini, it told me the BN-800 offers an impressive 100GWd/t burn-up ratio and relatively low waste volume, but only a 1.0 to 1.1 CR, with a doubling time of at least 50 years, implying it's barely better than an isobreeder and couldn't possibly fulfill the vision you described of one high-CR breeder providing enough RGPu to MOX-fuel 5 more LWRs. So I applied the first doctrine of ChatGPT-based research (if you don't like Daddy's answer, try asking Mommy). I switched to the newer GPT 4.5 model and asked it the exact same question, with identical prompt text. GPT4.5 says the BN-800 is a high burn-up ratio MOX-fueled sodium fast reactor with a CR of only 0.89, and a burn-up ratio of only 66MWd/kg meaning it's not even an isobreeder and can't possibly supply fuel to any other reactor(s). Curiously, 4o-mini reported the burn-up in units of GWd/t while GPT 4.5 used MWd/kg. These seem equivalent to me, but I'd think one notation or the other would be standardized. For anyone interested, here's a link to the GPT exchange above. The first time I asked the same question, the model picker was set to o4-mini. 2nd pass was GPT 4.5: chatgpt.com/share/680589d3-e… So I was forced to apply the 2nd doctrine of ChatGPT research: When you don't like Mommy or Daddy's answer, ask Uncle ReasoningModel. So I pasted the exact same prompt into the brand new, just-released o3 model, which appears to replace o1-Pro. Here's o3's answer: chatgpt.com/share/68058b81-1… GPT o3 (their latest premium-grade model, "best at reasoning") seems to side with GPT 4.5, claiming the BN-800 is a 66-69MWd/kg net burner with a CR of only 0.89. Nick, just to be super-clear, I am NOT doubting your knowledge. Just wanted you to understand why it is that us "Thorium Bros" don't always have accurate information. It's because the publicly available information is scant, incomplete, and apparently, just plain wrong in many cases. I remain quite intrigued by the notion of a small fleet of Uranium breeders with a CR>1.3 making enough RGPu to fuel 5x as many MOX-fueled LWRs. But the data available to me seems to indicate this isn't possible. Any advice on what I should be reading instead of relying on ChatGPT? Serious (non-sarcastic) side note: GPT 5 is expected to be released next month, and at the rate AI is advancing, it could be a whole new ballgame. I'll hit it up with this same exact prompt soon as it's released. Thanks Nick!

Agent = f(reasoningModel, MCP, instruction)

🔥 BREAKING: Google just dropped Gemini 2.5, and it’s a REASONING MONSTER! The #1 ranked AI model with the biggest performance leap in history. This changes everything. 🚀👇 #Gemini2.5 #AI #GoogleAI #ReasoningModel #ArtificialIntelligence

#ReasoningModel #Grok3 #OpenAIo3 #Claude3 Grok3のDeep Searchモードが凄すぎる 10年後を見据えたおすすめの高配当銘柄はファナックでした。