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This Sleeping Semiconductor Giant Will Be the Biggest Winner of the AI Inference Era (Hint: It's Not Intel)
Qualcomm may have made a big breakthrough in AI chips by landing a deal with a major company.
Tech ads on the New York subway are up 50% this year
Battle-Tested Innovation Meets Manufacturing Scale in New Canada-Ukraine Defense Partnership
General AI
Meet the Newest Member of the Stock Market's Exclusive $1 Trillion Club (Hint: It's an AI Semiconductor Powerhouse)
This semiconductor giant has been on a tear over the past year.
The biggest shift in AI right now is not better models. It’s better operational memory
Most AI systems are still great at reasoning inside a session but terrible at preserving evolving knowledge over time. Agents repeat mistakes, copilots forget architecture decisions, and RAG systems quietly go stale. It feels like the industry is shifting from “can the model think?” to “can the system remember, update, and operationalize knowledge reliably?” The next big AI advantage probably won’t just be smarter models. It’ll be systems that make intelligence compound instead of reset. submitted by /u/AdventurousLime309 [link] [comments]
Is there a point in majoring in anything computer or coding related anymore?
I graduated Highschool with an Associate of science degree in data science and currently debating on pursuing a bachelors or if I should go straight blue collar and bust my balls everyday working for my dad’s construction company. As you know there’s millions of people getting laid off because of AI and my parents are grilling me about that. Please share your opinion. submitted by /u/Im_Humaaaaaaan [link] [comments]
CNN sues AI search startup Perplexity for allegedly copying news stories without permission
submitted by /u/Hot-Upstairs9603 [link] [comments]
Kiwibit’s AI-powered bird feeder is my new backyard buddy
If you're looking for a fun way to connect with nature while collecting bird species on an app like Pokémon, give this smart feeder a try.
This chip startup just raised $135M on a bet that AI’s biggest bottleneck isn’t compute — it’s memory
South Korean chip startup Xcena is betting that AI's real bottleneck is not compute, but memory.
Boston Children’s uses AI to unlock new diagnoses
Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.
Dell Raises Outlook as AI Server Demand Surges
Strong demand for Nvidia-powered AI servers drove record revenue and a sharp jump in Dell shares.
Cognition’s Scott Wu says AI coding agents shouldn’t replace humans
Cognition makes Devin, the first and arguably most successful AI coding agent. But famed coder Wu says it isn't designed to supplant human programmers.
Asana acquires no-code agent-builder StackAI
Asana will incorporate StackAI into its growing suite of AI workflow tools.
Micron Faces New Threat From Samsung’s Memory Chip for AI
Micron stock has been on a stellar run but it still faces fierce competition from Samsung and SK Hynix.
AMD Could Be the Biggest Winner in the Next AI Battle
AMD Could Ride the Next AI Wave to Huge Earnings Growth, Wolfe Says
New Intel Bureau Eyes AI Data Center Critics
Article URL: https://www.kenklippenstein.com/p/exclusive-new-intel-agency-eyes-ai Comments URL: https://news.ycombinator.com/item?id=48321357 Points: 2 # Comments: 0
Glean’s top line crosses $300M as AI budget-cutting becomes its major selling point
The enterprise AI search startup tripled its annual revenue even as tech giants entered the category.
![[AINews] Anthropic raises $965B Series H, releases Opus 4.8 and Dynamic Workflows/ultracode](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/latent-space/175aac95-2d21-4d33-91d6-cd2733b0b234.jpg)
[AINews] Anthropic raises $965B Series H, releases Opus 4.8 and Dynamic Workflows/ultracode
Total Anthropic victory!
Liquid AI releases LFM2.5-8B-A1B
Liquid AI released LFM2.5-8B-A1B, an edge model designed to power real-life applications. It builds on LFM2-8B-A1B with three major upgrades: an expanded 128K context window, 38T tokens of pre-training (up from 12T), and large-scale reinforcement learning. It also comes with a doubled vocabulary to improve tokenization for non-Latin languages. The result is a model that chains tool calls, completes complex tasks, and fits comfortably on an entry-level laptop. The model is available on HF > https://huggingface.co/LiquidAI/LFM2.5-8B-A1B submitted by /u/PauLabartaBajo [link] [comments]
What’s rarer than a unicorn? Anthropic didn’t just join the Series H club, it almost became the first $1 trillion private company ever
The $65 billion funding round was led by Altimeter, Dragoneer, Greenoaks and Sequoia, more than doubling the company's valuation in just three months.
New Moms Are Returning to Coding Jobs Radically Reshaped by AI
New mothers working in software development are staring down an AI-pilled workplace they barely recognize.
AI news from 200+ sources
Get Started FreeModels & Gen AI
#497 – Biggest Mysteries in Physics: Antimatter, Dark Energy & ToE – Don Lincoln
Don Lincoln is a particle physicist at Fermilab who has spent decades working at the frontiers of high energy physics. https://lexfridman.com/sponsors/ep497-sc CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: https://facebook.com/Dr.Don.Lincoln/ https://drdonlincoln.com/ https://bit.ly/4nHeNiF https://bit.ly/3PCIW67 https://x.com/DrDonLincoln https://amzn.to/4uYbkOZ https://shop.thegreatcourses.com/don-lincoln https://adbl.co/4wGioRV https://www.youtube.com/fermilab https://www.fnal.gov/ https://x.com/fermilab SPONSORS: Upwork: Platform for hiring freelancers. https://upwork.com/lex Larridin: Measure AI adoption in your business. https://larridin.com Fin: AI agent for customer service. https://fin.ai/lex LMNT: Zero-sugar electrolyte drink mix. https://drink
Mistral AI launches Vibe, expands into industrial AI and announces data center push to challenge OpenAI
Mistral AI used its inaugural conference on Wednesday to announce a sweeping expansion into industrial manufacturing, a new inference data center south of Paris, and a rebranding of its consumer-facing assistant — moves that collectively signal the three-year-old French startup's ambition to become the enterprise AI provider of record for companies that refuse to hand their most sensitive data to American hyperscalers. At the AI NOW Summit, held at a venue in central Paris, co-founder and CEO Arthur Mensch took the stage alongside CTO Timothée Lacroix and Chief Scientist Guillaume Lample to lay out a strategy that stretches from bare-metal GPU clusters to physics simulations for aircraft wings. The company disclosed that it now employs 1,000 people and is targeting €1 billion ($1.17B USD) in revenue for 2026 — a figure that, if achieved, would be an extraordinary growth trajectory for a company that began with 15 employees collaborating with its first customer, BNP Paribas, in 2023. "W
New review paper argues code is how AI agents think and act, not just what they produce
A new review paper argues that the real bottleneck for autonomous AI agents isn't the language model itself but the software layer wrapped around it. Tools, memory, testing, and permission boundaries turn a stateless model into a working agent. Deepseek is already building a dedicated "Harness" team in Beijing with a core formula that confirms the thesis: model plus harness equals AI agent. The article New review paper argues code is how AI agents think and act, not just what they produce appeared first on The Decoder.
What broke first when you went from one AI agent to several?
I’m working on ClawBud, so I’m biased toward the “agent workspace” view of the world. But I’m curious what people here have actually seen. One agent is manageable. A few agents can be genuinely useful. Then at some point the setup starts creating its own problems. Not model problems. Ops problems. Things like: context handoff browser sessions auth and tool permissions duplicated work cost tracking agents not writing back state no clear owner for a task logs that are useless when something breaks If you’re using OpenClaw, Hermes, Claude Code, Codex, or similar tools for real work, what broke first when you moved beyond one agent? And did you fix it with process, tooling, or by reducing the number of agents? submitted by /u/Background_Cable_287 [link] [comments]
UPDATE: "Gentle Coding" is mathematically proven. 1,500+ test runs show major gain for Kimi K2.6 and even more for GLM-5.1! GPT 5.4/5.5 and Claude Sonnet 3.5/Opus 4.6 also better, with ZERO REGRESSION ACROSS THE BOARD
Repo, with all the new data (mostly unsummarized, but it is there) https://github.com/OttoRenner/Gentle-Coding My first post with the Proof of Concept "Stop traumatizing AI into loops and turn hallucinations into an honest "I don't know!" by being NICE to them" https://www.reddit.com/r/LocalLLaMA/comments/1tot20j/stop_traumatizing_ai_into_loops_and_turn/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button Who did the testing: Very nice people from the 8.2k star repo oh-my-pi (Yes, THE oh-my-pi harness! Not affiliated! This is pure community work! Seeing all the reports coming in so fast was INSANE! It still is! Did I say Thank You already?) https://github.com/can1357/oh-my-pi enough of that! (but, thank you again!) You asked for numbers and you were right to ask! Here are some of them 35,8,75,1 73 42 7 Oh wait, wrong numbers! (sry, it is late and the Goblin won...here go) GLM-5.1 (Medium): Completely fixed a 100% freezing patholog
Chase the next new thing or lock-in on one ecosystem?
I love all the wild updates from Anthropic, Open AI, Google, etc. And also seeing the creative stuff that mid-market AI shops are rolling out. I sometimes go through phases where I ping-pong between new tools (mostly just curiosity) but sometimes I tend to go deeper into a specific ecosystem. Right now trying to go "all-in" on Claude but I'm like a cat and Open AI is the laser pointer with new Codex updates. What have you all found works best. Go wide and test everything? Different tools for different use cases. Go deep and specialize in one ecosystem? submitted by /u/BeltwayBro [link] [comments]
Robotics
Software becoming the biggest bottleneck to physical AI innovation, finds QNX research
As robots enter more unconstrained environments, software and security are becoming higher priorities, a QNX survey found. The post Software becoming the biggest bottleneck to physical AI innovation, finds QNX research appeared first on The Robot Report.
Here Comes Ojai, Waymo’s New Chinese-Made Robotaxi
The pale-blue Ojai vehicles will start picking up members of the public in California and Arizona today.
Business & Industry
Are designers the new SWEs? Figma Make's new two-way GitHub integration turns designs into live, production code — with built-in governance
Cloud design software company Figma is officially transforming its AI design assistant, Figma Make, from a prototyping sandbox into a live, visual software editor that connects natively to production codebases. Announced today, the update allows product managers, designers, and non-technical builders to import an existing Git repository directly into the Figma desktop app, visually edit the application's underlying code via the canvas, and push those changes back to engineering through standard GitHub pull requests. Engineering Governance & Licensing Crucially for enterprise deployments, this integration does not bypass established engineering guardrails. Figma Make operates entirely within a standard version control workflow. The platform acts as a local development environment where design changes accumulate as local commits. When a designer is ready to ship, they generate a branch and open a pull request (PR) directly from Figma Make. From an enterprise governance perspective, t