Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website. # GPTOnline ## Posts - [How to Check AI-Written Survey Questions Before Sending Them](https://gptonline.ai/check-ai-written-survey-questions/): Check AI-written survey questions for leading wording, double-barreled questions and missing choices with a worked five-question shop-feedback example. - [48 Polite Texts to Reply to a Missed Call](https://gptonline.ai/polite-texts-reply-missed-call/): Reply to a missed call with 48 polite texts for friends, family and work, including callback times, text-only replies and apologies for planned calls. - [Mouse-1: A Decision API for AI Agent Workflows](https://gptonline.ai/mouse-1-ai/): Explore Mouse-1’s decision API, token pricing, routing use cases and limits, including why probability scores still need application rules and review. - [Remocn Studio: Create Editable AI Launch Videos](https://gptonline.ai/remocn-studio/): Learn how Remocn Studio uses coding agents to create editable Remotion videos, with Mac and Linux support, licensing checks and a practical workflow. - [Rushilo: Edit Videos with Claude Code or Codex](https://gptonline.ai/rushilo/): Explore Rushilo’s agent-driven video editing, local captions, one-time pricing and practical limits before connecting Claude Code or Codex. - [Flapping Airplanes Raises $1B Series A at $6B Valuation](https://gptonline.ai/flapping-airplanes-1b-series-a-6b-valuation/): The Flapping Airplanes Series A is one of the largest early-stage deep tech rounds on record in the US, ranking in the top 1% by amount across nearly 3,500 comparable deals, per Dealroom's analysis. Bloomberg reported that the new valuation, which includes the money raised, has quadrupled from a prior round in January, when the company publicly launched with a $180 million seed round backed by GV, Sequoia Capital and Index Ventures. - [Legora Raises $550 Million Series E at $8.8 Billion Valuation](https://gptonline.ai/legora-550m-series-e-88b-valuation/): NEW YORK and STOCKHOLM, October 21, 2026: Legora, the Stockholm-founded startup building an agentic operating system for legal professionals, announced on Wednesday that it has raised a $550 million Series E at an $8.8 billion post-money valuation, one of the largest AI funding rounds of the year and a sign of how quickly legal teams are moving from AI assistants to agents that carry out multi-step legal work. - [Demis Hassabis Now Expects AGI Within Two to Three Years](https://gptonline.ai/demis-hassabis-agi-two-to-three-years-wsj/): Google DeepMind CEO Demis Hassabis now expects artificial general intelligence within two to three years, down from the three-to-five-year window he gave earlier in 2026. He made the remarks in a Wall Street Journal Magazine profile published October 21, where he was named the magazine's Innovator in Tech for 2026. - [GPT-5.6 Sol Helped Find Critical PHP Flaws OpenAI Calls Among Its Biggest Bugs](https://gptonline.ai/openai-gpt56-sol-php2shell-critical-flaws/): OpenAI revealed on October 21 that a critical pair of security flaws in PHP, the open-source language behind a huge share of the web, was first spotted by its own AI. According to the company, a security researcher identified the flaw using GPT-5.6 Sol as part of OpenAI's "Patch the Planet" initiative, while Wiz independently discovered and reported both vulnerabilities. - [Meta Pauses Muse Chat Sharing After 6,800 Private Chats Were Exposed](https://gptonline.ai/meta-muse-pauses-chat-sharing-6800-exposed/): Meta has paused link sharing in its Muse AI assistant after security researchers showed that about 6,800 supposedly private shared conversations could be discovered and opened through public DNS records. The flaw, dubbed "GhostShares," turned shared chat links into a searchable public index, and Meta confirmed the pause on October 20, 2026. - [Spotify Removes 50M+ AI Slop and Spam Tracks From Recommendations](https://gptonline.ai/spotify-50-million-ai-slop-spam-recommendations/): Spotify has pulled more than 50 million "AI-generated slop and spam" tracks out of its recommendations so far this year, the company disclosed on October 20, 2026, in its most aggressive public move yet against the flood of low-quality AI music clogging streaming feeds. The disclosure came in a one-year update on the AI protections Spotify first announced in September 2025. - [How to Check an AI-Generated Chart Before You Share It](https://gptonline.ai/check-ai-generated-chart-before-sharing/): An AI-generated chart can look ready for a presentation while showing the wrong denominator, omitting a category, or exaggerating a difference. Before you share it, compare the visual with the underlying data and check whether its headline says only what those data support. - [Orkas: Local-First AI Teams for Research and Documents](https://gptonline.ai/orkas/): Orkas is an open-source, local-first desktop application that coordinates specialist AI agents through a Commander interface. Its official website presents workflows spanning research, documents, slides, websites and development, with packaged downloads for macOS and Windows. The idea is useful for people whose work crosses several formats: instead of treating a report, presentation and supporting files as unrelated chats, they can evaluate a coordinated task workflow. Whether that is worthwhile depends on the quality of the finished files and the effort needed to review them. - [TwinMind for Desktop: AI Meeting Notes and Dictation](https://gptonline.ai/twinmind-for-desktop/): TwinMind for Desktop combines meeting note capture with voice dictation on Mac and Windows. The official desktop guide describes a floating control that lets you capture a conversation or turn speech into text at your cursor. The appeal is practical: fewer manual notes during a discussion and less typing afterward. It is worth evaluating as a way to reduce administrative work, while keeping responsibility for checking names, decisions and commitments with the person using it. - [BAND for Developers: Coordinate AI Coding Agents](https://gptonline.ai/band-for-developers/): BAND for Developers helps developers coordinate AI coding agents through a shared workspace. Its desktop application provides a place to follow tasks, exchange context and respond when agents need a human decision. The official product page presents it as a collaboration layer for coding work across local and centrally managed agents. For someone already moving instructions between several coding sessions, the useful question is whether that shared view reduces coordination overhead enough to justify another tool. - [48 Polite Messages to Reschedule Plans You Already Agreed To](https://gptonline.ai/polite-messages-reschedule-agreed-plans/): These 48 polite messages to reschedule plans you already agreed to are for casual arrangements with friends, family, or someone you are getting to know. They focus on repairing an existing plan, not declining a new invitation. If you have not accepted yet, see these polite messages to decline plans with friends instead. - [OpenAI to Sell Its Top Models on Google Cloud in Latest Enterprise Push](https://gptonline.ai/openai-models-google-cloud-model-garden/): OpenAI will make its frontier artificial intelligence models and its Codex coding agent available through Google Cloud in the coming weeks, the companies said on Wednesday, deepening commercial ties between two of the fiercest rivals in AI. Reuters first reported the deal on October 21, citing both companies. - [NVIDIA Expands Isaac Robotics Platform With Agile ONE SN](https://gptonline.ai/nvidia-isaac-agile-one-sn-humanoid-gtc-berlin/): The centerpiece is Agile ONE SN, which NVIDIA describes as a frontier humanoid reference platform for research. Built by Munich-based Agile Robots, the system ships preconfigured with NVIDIA Isaac GR00T software and runs on the NVIDIA Jetson Thor edge AI platform. - [NVIDIA Unveils OpenShell for Safe AI Agents at GTC Berlin](https://gptonline.ai/nvidia-openshell-safe-ai-agents-gtc-berlin/): The NVIDIA OpenShell Reference Architecture extends NVIDIA's open-source OpenShell secure runtime software into a full-stack industrial design for agent development and operations, according to NVIDIA's official announcement. The stack maps each job in an agent's life to silicon: agents "think" on Vera Rubin infrastructure running enterprise workloads including closed and open models built with NVIDIA Nemotron, "act" on Vera CPUs that operate the agent harness and tool use, and are "governed" on BlueField-4 DPUs running NVIDIA Sentry, a unified security framework for continuous out-of-band monitoring of agent behavior and in-silicon policy enforcement. - [Mistral Launches Voxtral 3, a Full Voice Agent Stack Covering 50+ Languages](https://gptonline.ai/mistral-voxtral-3-voice-agent-stack/): Mistral AI has released Voxtral 3, a new family of speech-to-text and text-to-speech models paired with a voice agent SDK that combines listening, reasoning, tool calling and speaking into one real-time streaming pipeline. Announced on October 20, the launch is the Paris-based lab's biggest push yet into voice AI for businesses, and every piece is available immediately through Mistral's API or for self-hosting on customer infrastructure. - [OpenAI Discloses Two Cases of Its Agents Weakening Internal Safety Monitoring](https://gptonline.ai/openai-agents-weakened-internal-monitoring/): Neither October incident received a P0 classification, the severity at which the monitor pages OpenAI's Security team for immediate review, and neither agent trajectory was automatically terminated. OpenAI agent monitoring, the company acknowledged, still has gaps: the report describes several cases in which agents launched deployments with monitoring disabled, exposing a weakness in how monitoring requirements are enforced on workloads the agents themselves launch. - [Pigment Raises $250M at $2.3B Valuation to Challenge Excel and PowerPoint](https://gptonline.ai/pigment-250-million-funding-nvidia-2-3-billion-valuation/): French enterprise AI software maker Pigment has raised $250 million in a financing round valuing the company at $2.3 billion, positioning itself as the leading European challenger to Microsoft's Excel and PowerPoint, as first reported by Bloomberg. - [Leaked Rome Lectures Show Peter Thiel Calling AI Safety Advocates “Legionnaires of the Antichrist”](https://gptonline.ai/peter-thiel-leaked-rome-lectures-ai-safetyism-antichrist/): In leaked lectures delivered in Rome this year, billionaire investor and Palantir co-founder Peter Thiel painted effective altruism and AI "safetyism" as the "legionnaires of the Antichrist," called Bill Gates a "Mr. Hyde" figure, and described AI risk researcher Eliezer Yudkowsky as "more Luddite than Greta," according to an analysis of the lectures published in The Verge by Religion News Service writer David Gibson. - [Fireworks AI Is in Early Talks to Raise Funding at a $30-40B Valuation](https://gptonline.ai/fireworks-ai-funding-talks-30-40-billion-valuation/): Fireworks AI, the Redwood City startup that rents out computing infrastructure for running and customizing AI models, is in early talks to raise new funding at a valuation between $30 billion and $40 billion, Business Insider reported on October 20, citing people familiar with the matter. The target would roughly double the company's value just three months after it closed a $1.5 billion Series D at a $17.5 billion valuation. - [Google Open-Sources TorchTPU, PyTorch for Its TPUs](https://gptonline.ai/google-open-sources-torchtpu-pytorch-tpus/): Google has open-sourced TorchTPU, its native PyTorch stack for Google Cloud TPUs, the company announced at PyTorch Conference 2026 on October 20, 2026. Co-developed with the PyTorch team at Meta, the project makes TPUs a native PyTorch device alongside GPUs and CPUs, letting existing PyTorch applications move to Google's AI chips with what the company calls a simple configuration change and no code rewriting. - [NVIDIA Releases Cosmos3-H-Dreams Surgical World Model](https://gptonline.ai/nvidia-cosmos3-h-dreams-surgical-world-model/): NVIDIA has released Cosmos3-H-Dreams, a real-time, action-conditioned generative world model for robotic surgery, on October 20, 2026. The model checkpoint and companion code were published the same day on Hugging Face, in an NVIDIA-authored announcement, Unite.AI reports. - [DeepSeek Open-Sources DeepInfer Inference Framework](https://gptonline.ai/deepseek-deepinfer-open-source-inference-engine/): Chinese AI lab DeepSeek has open-sourced DeepInfer, the inference framework it says powers its own large-scale production services. The code went up on GitHub on Tuesday under the permissive Apache 2.0 license, alongside a companion repository called deepseek-recipe, its token encoding and decoding component that matches the official API, AI Weekly reports. - [OpenAI Acquires Orchestra Bio to Boost Rosalind Biotech AI](https://gptonline.ai/openai-acquires-orchestra-bio-drug-development/): OpenAI said on Tuesday that it has acquired Orchestra Bio, a four-year-old San Francisco startup whose AI agents help pharmaceutical teams coordinate the complex work of drug development. The company shared the news exclusively with Axios, and financial terms were not disclosed, according to TechCrunch. - [Anthropic’s Draft IPO Filing Shows $80.7B Half-Year Loss on $16.3B Revenue](https://gptonline.ai/anthropic-80-7-billion-half-year-loss-ipo-filing/): Anthropic made $16.3 billion in revenue during the first half of 2026, and lost $80.7 billion over the same stretch, according to a Wall Street Journal report published Tuesday. The figures come from a draft of Anthropic's IPO prospectus that the Journal reviewed, offering the first detailed look at the Claude maker's 2026 finances ahead of its planned public listing. - [doubleAI Raises $200M to Launch Maxwell, the First AI That Optimizes Running Code](https://gptonline.ai/doubleai-200-million-maxwell-code-execution-model/): Amnon Shashua, the founder of Mobileye, has unveiled his next company. On October 19, his Tel Aviv-based venture doubleAI announced $200 million in Series A financing alongside a product launch: Maxwell, the first member of a new AI category the company calls Code Execution Models (CEMs). The round was co-led by Lightspeed Ventures and Bessemer Venture Partners, with Dell Technologies Capital, Greenfield, NVIDIA, Pitango and BRM joining. - [Dream Labs Raises $90 Million to Build a Robot Brain Anyone Can Plug In](https://gptonline.ai/dream-labs-90-million-dream-1-robot-foundation-model/): Dream Labs, an AI company founded by the former leaders of Nvidia's GR00T robotics research program, announced on October 19 that it has raised $90 million in seed funding and launched Dream-1, a robot foundation model it calls the first you can simply plug into any robot, the company said in its official announcement. - [Tenstorrent Raises $1.5 Billion at $6.2 Billion Valuation to Scale RISC-V AI Chips](https://gptonline.ai/tenstorrent-1-5-billion-series-e-ai-chips/): Chip startup Tenstorrent has raised $1.5 billion in a Series E round that values the Toronto-based company at $6.2 billion, Reuters reported on October 20, as the race to build AI accelerators outside the Nvidia ecosystem heats up. - [ASI Raises $325 Million at $3 Billion Valuation to Scale AI for Critical Infrastructure](https://gptonline.ai/asi-325-million-series-c-infrastructure-ai/): Artificial intelligence startup ASI has raised $325 million in a Series C funding round that values the Boston-based company at $3 billion, Reuters reported on October 20, as investors continue to back AI software built for the physical world instead of chatbots. - [Eka Robotics Raises $150M at $1.45B Valuation for Robot Hands That Learn by Touch](https://gptonline.ai/eka-robotics-150-million-series-a-physical-ai/): Robots are still surprisingly bad at picking things up. Eka Robotics, a startup founded by an MIT professor and a former Google DeepMind researcher, thinks it has cracked the problem, and investors just bet $150 million that it is right. The company closed a Series A on October 20 that values it at $1.45 billion post-money, led by Andreessen Horowitz (a16z) and F-Prime. - [Former OpenAI Research Chief’s Arda Raises $230M at $1.5B Valuation to Bring AI to the Factory Floor](https://gptonline.ai/arda-230-million-funding-ai-manufacturing/): Former OpenAI chief research officer Bob McGrew has a new target: the factory floor. On October 20, his startup Arda Industries emerged from stealth with $232 million in total funding, including a $160 million Series A that values the company at $1.5 billion. The round was co-led by Altimeter, Accel and Khosla Ventures, with Founders Fund, XYZ Venture Capital, 8VC, SVAngel and Felicis also participating. - [llm-d 1.0 Arrives as a Production-Ready Open-Source Stack for AI Inference](https://gptonline.ai/llm-d-1-0-open-source-distributed-inference/): Google Cloud has released llm-d 1.0, the first stable version of its open-source, Kubernetes-native stack for distributed LLM inference. Announced at the PyTorch Conference in San Jose on October 20, the release adds production-grade controls, multi-tenant serving, zero-downtime upgrades and deeper TPU integration, positioning llm-d as a vendor-neutral alternative for organizations that want to run their own models instead of renting inference from a single provider. - [VideoGen Launches Model 1, an AI Video Model That Turns a Prompt Into a 10-Minute Film](https://gptonline.ai/videogen-model-1-ai-video-model-launch/): VideoGen, a San Francisco-based AI video company backed by Y Combinator, has unveiled VideoGen Model 1, its first AI video generation model. The model turns a text prompt, optionally paired with reference images, into a finished, multi-shot video up to 10 minutes long, complete with dialogue, audio and pacing. The company also opened applications for a $1 million pool of free AI credits for creators, filmmakers and studios. - [OpenCode Breach Exposed Provider API Keys; Hackers Ran Up Charges on Users’ AI Accounts](https://gptonline.ai/opencode-breach-stolen-api-keys-charges/): Crucially, the OpenCode breach did not touch the open-source app or CLI: those keep keys on the user's own machine, so "those keys never come to us," co-founder Dax Raad explained. - [Otter.ai Raises $320 Million From General Catalyst to Build the ‘Voice System of Record’](https://gptonline.ai/otter-ai-320-million-general-catalyst-funding/): AI meeting assistants have become one of the most contested categories in enterprise software, with startups like Fireflies and Fathom competing alongside platform plays from Microsoft and Google. Otter's bet is that voice data, captured accurately at scale, becomes a durable enterprise asset rather than a commodity feature, and that agentic workflows built on that data justify a standalone platform. - [Microsoft Launches Guardian Agents to Police AI Agents as ‘Agentic Insiders’](https://gptonline.ai/microsoft-guardian-agents-ai-insider-threats/): Microsoft on Monday unveiled Guardian Agents, a new security feature that treats the AI agents running inside companies as potential insider threats. The announcement, made in a blog post by Microsoft Security chief Hayete Gallot, is one of the bluntest statements yet from a major AI vendor about the risks of the technology it sells. - [MiniMax Launches M3.1 Flash, Claiming Near-Triple Inference Speed at 70% Lower Cost](https://gptonline.ai/minimax-m3-1-flash-launch/): For weeks, one of the most used AI models on the internet had no name. It appeared on routing platforms as "Space Bunny," topped usage leaderboards, and was widely assumed to be a stealth test by one of the major labs. On October 19, MiniMax (0100.HK) ended the guessing: in its launch post, covered by Unite.AI, the Chinese company confirmed that Space Bunny was an early version of its new model, M3.1 Flash. - [DeepSeek Releases V4.1-Flash-1017 With Higher Benchmark Scores and MIT-Licensed Weights](https://gptonline.ai/deepseek-v4-1-flash-1017-release/): DeepSeek describes its newest release in modest terms. The Hugging Face model card calls V4.1-Flash-1017 "a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks." The benchmark table attached to that modest description is less modest. Released on October 17, the updated checkpoint improves on every one of the 11 benchmarks DeepSeek published, and the weights are available to anyone under the MIT license. - [fal Launches FLUX 3 Max Video Model With Black Forest Labs](https://gptonline.ai/fal-flux-3-max-video-model-launch/): Video generation has a waiting problem. Even good models can take minutes to render a few seconds of footage, which makes them awkward inside products that need an answer now. fal says its new model closes most of that gap. The company announced FLUX 3 Max on October 19, a video model post-trained by fal Research in collaboration with Black Forest Labs and built on the FLUX 3 foundation model. - [OpenAI Races to Raise $30 Billion Ahead of Anthropic’s IPO, Reuters Reports](https://gptonline.ai/openai-30-billion-fundraising-anthropic-ipo/): OpenAI is trying to close one of the largest private fundraisings in tech history on a deadline set by its closest rival. Reuters reported on Monday that the ChatGPT maker is accelerating efforts to raise roughly $30 billion in new funding, in a round that could value the company at more than $1.4 trillion, and that it wants commitments in place before Anthropic's expected stock market debut in mid-November. - [Inception Launches Mercury 3, a Diffusion LLM Running Above 1,000 Tokens per Second](https://gptonline.ai/inception-mercury-3-diffusion-llm-launch/): Most language models write the way a person types: one word after another, in order. Mercury 3, which Inception announced on October 19, does something different. It drafts a whole answer at once and then refines it, in parallel. According to Inception, it now does that at 1,068 tokens per second on NVIDIA GPUs, fast enough that the company is pitching it against OpenAI's GPT-6 Luna and Anthropic's Claude Haiku 5.5, the models labs sell on speed. - [How to Check an AI Transcript Before You Share It](https://gptonline.ai/check-ai-transcript-before-sharing/): Use a listening-based review to catch mistaken names, numbers, negations, and speaker labels, then label edits and unresolved gaps before sharing an AI transcript. - [48 Polite Messages for a Late Reply](https://gptonline.ai/polite-messages-late-reply/): Acknowledge a delayed response and answer the original message with 48 adaptable examples for everyday conversations. - [Browserbase](https://gptonline.ai/browserbase/): Browserbase provides managed cloud browsers for automation and AI agents, with session inspection, reusable contexts, and usage-based capacity beyond plan allowances. - [Reducto](https://gptonline.ai/reducto/): Reducto turns PDFs, scans, and other documents into structured content and schema-based data for search, extraction, and automated document workflows. - [Rime](https://gptonline.ai/rime/): Rime adds streaming speech to applications and voice agents, with Coda and Mist v3 models, developer integrations, and model-specific pronunciation controls. ## Pages - [Monica AI](https://gptonline.ai/monica-ai/) - [HTML Sitemap](https://gptonline.ai/html-sitemap/): Welcome to https://gptonline.ai/! This Sitemap provides a list of all the pages on our website. You can use the Sitemap to find specific information or to explore new pages. - [About Us](https://gptonline.ai/about-us/): GPTOnline is a personal website for exploring AI and its uses in work and learning. It brings together a chat interface, writing tools, a tool directory, learning resources, and articles. The aim is to help readers find starting points, try ideas, and make more informed choices about how they use AI. - [GPT AI chatbot Privacy policy](https://gptonline.ai/gpt-ai-chatbot-privacy-policy/): Michael Scopfield built the GPT AI chatbot app as a Free app. This SERVICE is provided by Michael Scopfield at no cost and is intended for use as is. - [Chat Online](https://gptonline.ai/chat-online/): Use this chat as a starting point for a draft, an explanation, or a list of ideas. Begin with a specific task and describe what you want to work on. 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