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  1. Rohan Paul
    AI score61

    Microsoft returns to the US bond market, planning to issue at least $25 billion in bonds

    Bloomberg reports that Microsoft is returning to the US bond market for the first time since its $17 billion bond issuance in 2017, planning to raise at least $25 billion through up to 10 tranches. Its 40-year bond pricing is close to the long-term bonds of Alphabet and Amazon, despite Microsoft having a higher AAA rating. Hyperscale cloud providers and data center developers have issued more than $313 billion in investment-grade bonds this year, nearly three times the total for 2025, driving global bond issuance to a record $6.61 trillion.

    Same story · 2 reports

    #Industry news#OpenAI

  2. Rohan Paul
    AI score67

    Oracle plans to increase computing capacity to approximately 10GW within three years, with AI remaining performance obligations rising to $638B

    At its Investor Day, Oracle laid out its computing expansion roadmap, increasing from approximately 1GW in FY25 to approximately 3GW in FY26, and plans to reach approximately 10GW by FY28. Its remaining performance obligations (RPO) increased from $138B at the end of FY25 to $638B at the end of FY26, adding approximately $500B in contracted business in one year. Based on Oracle's own estimate of approximately $11B to $16B in annual revenue per 1GW at full capacity, approximately 7GW corresponds to annual revenue of approximately $77B to $112B.

    #Industry news#English text is being prepared.#OpenAI

  3. Rohan PaulProduct release
    AI score62

    Snaptrude launches a building design Agent that can generate LOD 400 construction-level models directly from a site

    Snaptrude has launched a building design Agent that can start from a site or a brief to generate LOD 400 construction-level models including structure, MEP and complete drawings, and supports exporting back to existing software while preserving component families. During early access, more than 2,000 designers have run over 25,000 tasks, and the company has also released the AECBench benchmark along with its first batch of results. Rohan Paul relayed that most architectural AI stops at the level of form, whereas this model carries actual components that can be directly manufactured and installed.

    Quoted postAltaf Ganihar · @altafganihar

    Today we're launching @snaptrude Agent, the most advanced agent for building design. It does real design work with you, from a site to a construction-ready LOD 400 model with structure, MEP and drawings. Then can go back to your existing software with your families intact. About a year ago we bet the company on AI. Honestly the insight came from software engineering. It wasn't long ago that autocomplete felt like a big deal, and now engineers direct agents that write a lot of the code. I think the same shift is coming to how we design buildings, and it's already started. Most designers I meet aren't short on skill, they're short on time. Take the call every design team dreads, the client cuts the budget by 30%. Today that's a bad month for everyone. With the agent you're the director. You decide where the cost comes out, and it updates the layout, coordinates the structure and MEP, and redoes the drawings. So when design exploration gets this cheap, we go from 3 options to 300, and more options means better buildings. Since August our users have gone through more than 140 billion tokens, and firms like Jacobs, Studio+, Kajima, VMDO, Dekker and hundreds of others use Snaptrude today. In our early access, more than 2,000 designers have run over 25,000 tasks through the agent since September. We also built a benchmark for this, AECBench, because in AEC an almost correct answer is still wrong. It gives AI the same brief an architect would get, has its design in a real BIM model, and scores the result against the brief and against how architects review design. We're publishing the first results today, link below. Thank you @prashanthp at @Accel and Shub and the team at @foundamental for backing us when this was still a bet, and the Snaptrude team, who built every bit of this. Really proud of you all. Thanks to our investors, @scottbelsky, @andreasklinger, @thilokonzok, @immad, @CindyXBi, @DanilaVladi, @jmwass, rahulchaudhary, @adamecourt, Zach Ginsburg, Alex duff, Paul grossinger, really appreciate all the help along the way.

    Same story · 2 reports

    #Product updates#Agents#Multimodal

  4. indigo
    AI score31

    Google releases Gemini 4 Carbon; shares fall 10% after hours following earnings report

    Google released Gemini 4 Carbon, less than a month after the previous version, Argon. Shares plunged 10% after hours following the earnings report, mainly because search business growth fell short of expectations and slowed for two consecutive quarters; of total revenue of $127.577 billion, advertising accounted for 64.28% and Google Cloud for 24.07%, with the pure search business falling below 50% for the first time.

    Same story · 34 reports

    #Industry news#Google

  5. Shao MengAnalysis
    AI score59

    DeepLearning.AI Launches Context Engineering Course, Teaching Agent Context Management

    DeepLearning.AI has launched a new Context Engineering course, taught by Chroma CEO Jeff Huber and CMPND CEO Drew Breunig, framing context engineering as the main thread for keeping Agents reliable and token-efficient in complex multi-step tasks. The course builds a harness from scratch in Python and uses traces and evals to quantify each change, covering three capabilities—Agentic Search, Context Management, and Agentic Memory—across four modules, with labs mostly consisting of about 1-hour coding exercises. The course assumes intermediate Python, familiarity with LLM applications and tool calling, and basic retrieval.

    #Tutorials / practice#Agents#RAG

  6. Shao MengResearch
    AI score58

    Google Research releases SLEEP: using offline sleep cycles to mitigate catastrophic forgetting in large models

    Google Research releases the SLEEP method, which lets LLMs periodically switch between wakeful interaction and sleep consolidation, writing short-term contextual information into scalable long-term parameters, and self-improving with synthetic data during the dreaming phase. The sleep phase unlocks reserved MoE memory blocks, combining generalized knowledge distillation and imitation learning to complete memory consolidation, then resets high-frequency temporary parameters. In evaluations of continual translation on unseen languages, SLEEP shows near-zero performance drop; on BABILong it is claimed to scale to about 10 million tokens; on AIME 24/25 and HMMT 25 it achieves approximately 79.2%, 69.0%, and 46.1%, respectively.

    Quoted postGoogle Research · @GoogleResearch

    Today on the blog, learn about our new instance of a “sleep” phase in continual learning, which enables LLMs to continuously integrate new facts and enhance reasoning while mitigating catastrophic forgetting or static knowledge cutoffs. More →https://t.co/5v9w5Pn4dw https://t.co/7Mms1x7hgl

    Same story · 3 reports

    #Papers/Research#English text is being prepared.#Google

  7. Shao MengModel releases
    AI score74

    Google DeepMind Previews Gemini 4 Carbon, Claiming Leadership in Cybersecurity and Long-Horizon Capabilities

    Google DeepMind has previewed its next-generation frontier model, Gemini 4 Carbon, claiming it achieves SOTA in cybersecurity and long-horizon capabilities, ranking first on the Artificial Analysis Intelligence Index v5.0 with 59 points, while Claude Opus 5.5 scored 58. The model is not yet publicly available; it will first be opened to select cybersecurity defenders and trusted partners in the Fairwind program, and will participate in the U.S. government's voluntary pre-release testing, before gradually being opened to developers, enterprises, and consumers. Introductory pricing is the same as Argon, at approximately $2 input and $10 output per million tokens, rising to approximately $4 input and $20 output after the introductory period.

    Quoted postGoogle DeepMind · @GoogleDeepMind

    Gemini 4 Carbon is our next frontier model. It’s state-of-the-art across cybersecurity and long-horizon capabilities.

    Same story · 34 reports

    #Model releases#Safety / alignment#Agents

  8. Shao MengProduct release
    AI score71

    Shopify Releases Fall '26 Editions "Exponential", Bringing Products and Checkout into…

    Shopify released Fall '26 Editions "Exponential", with the main thrust being to bring products, checkout, and store management into Agents such as ChatGPT, Claude, Gemini, Copilot, and Grok Bot, while also upgrading the merchant backend's Sidekick, Canvas, Campaign Autopilot, and payment risk controls. Shop Pay claims about 400 million users, can enter personal Agents and support checkout for non-Shopify stores, and Shopify Catalog has begun including brand products from brands not on Shopify. On the developer side, it provides one MCP to add shopping to any Agent or App, plus WebMCP, Catalog API enhancements, and the /buy and /ask interfaces of the Universal Commerce Protocol.

    Quoted posttobi lutke · @tobi

    The new Edition drops today. It’s a magical time to build. Hope this Edition shows how much fun we’re having. https://t.co/FZlk46lJPQ https://t.co/eh8tjAGLB1

    #Product updates#Agents#English text is being prepared.

  9. Kling AIFirst-party
    AI score25

    Kling 4.0 Launches on Cloudflare AI Gateway

    Cloudflare Developers announced that the latest video model, Kling 4.0, is now available on Cloudflare AI Gateway, and said it can be used to bring sketches to life. Kling AI reposted the news with the caption "Bring your sketches to life".

    Quoted postCloudflare Developers · @CloudflareDev

    The latest and greatest video model, @Kling_ai 4.0 is now available on Cloudflare AI Gateway. Bring your sketches to life today. https://t.co/XgqfxQylHc https://t.co/bNRYkopOlW

    #Product updates#Video#Image generation

  10. Vaibhav SrivastavProduct release
    AI score57

    OpenAI Offers Up to $500 per Month in API Credits to ChatGPT Pro and Business Subscribers

    OpenAI Developers announced that, starting today, eligible ChatGPT Pro and Business subscribers can claim up to $500 per month in API credits to build apps and agents. Vaibhav Srivastav relayed that these credits can be used for GPT Live, Image 2.5, Decisions API, and more.

    Quoted postOpenAI Developers · @OpenAIDevs

    Starting today, eligible ChatGPT Pro and Business subscribers can claim up to $500 per month in API credits to build apps and agents. https://t.co/kcbaKSQh1M

    Same story · 5 reports

    #Product updates#OpenAI#Agents

  11. A Yi AI Notes
    AI score44

    A Yi Turns "Nonviolent Communication" into an Open-Source AI Skill

    A Yi has turned Marshall Rosenberg's entire book "Nonviolent Communication" into an open-source AI Skill, usable with agents such as Cursor, Claude Code, codex, and Hermes, breaking impulsive or aggressive speech down into "observation—feeling—need—request." The Skill uses a routing architecture, consisting of one main control entry point and 5 reference modules loaded on demand, respectively responsible for the four-element hard constraint, empathetic listening and emotional desensitization, anger transformation and conflict review, jackal-language anti-pattern cleanup, and fine-tuning of the author's original voice style. The author says it can output communication plans at millisecond speed; the open-source address has been made public and supports one-click git clone installation.

    Quoted postAYi · @AYi_AInotes

    https://t.co/I431zBBUB3

    #English text is being prepared.#Agents#English text is being prepared.

  12. Ayi AI Notes
    AI score36

    Pichai says AI feeds back into R&D, and the next year will accelerate due to RSI

    Google CEO Sundar Pichai said on the earnings call that AI is helping improve training and release speed, and he expects the next twelve months to keep accelerating due to RSI. The author believes this is not an official announcement of recursive self-improvement, but AI feeding back into the R&D pipeline has already been written into the investor communication minutes. The real change is that the engineering iteration cycle has been compressed; the next stage is a contest over who can hand the R&D pipeline over to AI faster.

    Quoted postAYi · @AYi_AInotes

    English text is being prepared.

    #English text is being prepared.#English text is being prepared.#Google

  13. AYi AI Notes
    AI score21

    Musk: AI Will Surpass Humans in All Respects Within a Year or Two, Including Innovation

    Speaking at a Forbes dinner after losing his lawsuit against OpenAI, Musk said AI will likely surpass humans in every respect within a year or two, and even innovation—humanity's last source of pride—will be flattened. He said he feels both terrified and excited about AI, adding, "I hope it is friendly to us."

    Quoted postAYi · @AYi_AInotes

    English text is being prepared.

    #English text is being prepared.#English text is being prepared.#OpenAI

  14. A Yi AI Notes
    AI score23

    Huang Renxun on How to Face AI at 20 and 40

    NVIDIA CEO Huang Renxun, in a CNN exclusive interview, responded to the question of "confusion at 20, panic at 40," saying that when intelligence is mass-produced on assembly lines, the rules of human competition have been completely reshuffled, and there is no need to intimidate oneself with age and seniority. He did not peddle anxiety, nor did he suggest signing up for classes or certifications.

    Quoted postAYi · @AYi_AInotes

    https://t.co/I431zBBUB3

    #English text is being prepared.#Industry news

  16. Ayi AI NotesOpinion
    AI score60

    Anthropic Upgrades AI for Science Program, Author Compares It with OpenAI's Research Approach

    Anthropic announced that it will expand the AI for Science program from supporting individual teams to 20 scientific foundations, research institutions, and research groups worldwide, providing Claude credits. The author believes that this forms two approaches in contrast with OpenAI's emphasis on models independently making scientific discoveries, and mentions that Anthropic is jointly developing standards for models operating hardware with HHMI Janelia, pointing toward AI Agents taking over laboratory instruments. The author also notes that Anthropic has not disclosed the scale of funding for the credits, and some frontier experiments are still in early preview stages.

    Quoted postAnthropic · @AnthropicAI

    We’ve expanded our AI for Science program beyond individual teams to support some of the world’s leading scientific foundations, institutions, and research groups. https://t.co/oTu04tU4Pk

    Same story · 2 reports

    #Industry news#Agents#OpenAI

  17. Testing CatalogProduct release
    AI score57

    Rime Releases Speech Model Prism, Which Writes Text Before Speaking

    Rime has released Prism, a speech-to-speech model for AI voice agents that writes every reply as text before speaking. Enterprises can edit the transcript and block things the agent should not say, while Prism keeps the call uninterrupted and can look up accounts or freeze cards during the conversation. Rime says no other speech-to-speech model takes this approach, making Prism better suited to regulated enterprises such as banks.

    Quoted postlily clifford · @lilyjclifford

    introducing prism, the world’s first speech-to-speech model you can’t tell from a human in conversation prism has: > 300ms response time, 4x faster than OpenAI GPT-Live > outperforms every other s2s model on intelligence (with NO reasoning) > the first s2s model customizable through reinforcement learning we’re a team of 35 with $35M in funding, and we’re unlocking s2s model adoption faster than openai, google, and x. the first 100 people to sign up here get 1 month free: https://t.co/KC3KUq18bl

    #Model releases#Speech#Agents

  19. Ayì AI NotesOpinion
    AI score53

    Ayì's Paraphrase of the Altman Interview: Tens of Millions of Dollars in Compute to Crack Math Problems and the Agent Team Security View

    Ayì paraphrases Stripe founder John Collison's 52-minute interview with OpenAI CEO Sam Altman, saying Altman mentioned that an internal new model had cracked frontier math problems, with the proof related to the Navier-Stokes equations consuming on the order of $10 million in compute. Altman also said he prefers Agent Teams rather than swarms to describe multi-agent collaboration, and believes sandboxes can hardly contain superintelligence, so one can only rely on internal monitoring and alignment. He also criticized Silicon Valley's current AI narrative as bad salesmanship, insisting on iterative deployment to avoid a small elite deciding the future for the whole world.

    Quoted postJohn Collison · @collision

    OpenAI’s @sama joined me at the pub (and had his first Guinness) to discuss the PHP exploit, math weekend at OpenAI, agent swarms, and how he thinks AI leads to deflation. https://t.co/UBWrHd5Via

    Same story · 3 reports

    #English text is being prepared.#Agents#Safety / alignment

  20. Testing CatalogProduct release
    AI score60

    Google and XREAL launch the first Android XR glasses, XREAL AURA, starting at $1,099

    Google and XREAL have officially launched the first Android XR glasses, XREAL AURA, with a noticeably lighter body that can be worn continuously for hours to watch movies or work across multiple screens. Gemini can act on everything within the field of view, including laptop windows, and users can ask it to organize windows or discuss the content in front of them. The product is aimed at users aged 18 and over, with orders opening today in the United States, Canada, and South Korea, sales starting in Japan on November 2, and a launch price starting at $1,099 within the year.

    Same story · 4 reports

    #Product updates#English text is being prepared.#Multimodal