The AI Wire ●

Microsoft has released Microsoft-Decision-1, a small model built for a narrow job: given a situation, a question and a fixed set of options, it returns a calibrated probability for each option. It is meant for routing, classification, prioritisation, verification and workflow control inside apps and agents.

The model was post-trained from Qwen3.5-9B for single-pass scoring and supports yes/no, multiple-choice, rating-scale and rubric-style grading through API calls. Microsoft says it tested the model across 36 benchmarks covering nearly 150,000 questions, and reports much lower latency than using a frontier model for the same scoring work.

Microsoft-Decision-1 is available through Microsoft Foundry and OpenRouter, priced at $0.042 per million input tokens in the launch reporting. It is not a chat model: Microsoft is explicit that it is not designed for open-ended generation, conversation or summarisation.

Meta has released Muse Wonder, a new frontier model from Meta Superintelligence Labs, along with a heavier variant called Muse Wonder Full. Wonder is available today through the Meta Model API and Muse Code, while Wonder Full is limited to Muse Code subscribers.

Meta is positioning the models for long-running agent work rather than plain chat. The company highlights two new capabilities, Active Memory for carrying context across sessions and Active Focus for staying on extended projects, and says the models were trained at its large Prometheus data centre with more test-time compute to handle unfamiliar tasks.

Wonder is also Meta's plan to revive its Muse agent, which has reached roughly nine million downloads but has seen slowing growth and weaker retention than ChatGPT. Meta says Wonder will soon power Muse for subscribers on its $20 and $100 monthly tiers, with stronger skills in areas such as health, finance and legal work. Independent testing has not yet settled how the models compare with rivals such as GPT-6 Astra and Claude Opus 5.5.

SpaceXAI's Grok Bot got a second upgrade this week: its own email address. Per the announcement on X, the Bot's inbox can be used to sign up for services, contact businesses on the user's behalf, or schedule time with someone. Addresses end in @mail.grokbot.com, and users claim one by asking the Bot or tagging @bot on X; custom addresses are offered if available.

It follows an earlier-in-the-week intelligence upgrade that switched Grok Bot to Anthropic's Claude Opus 5.5, plus native X search, read and monitoring without a connector. Grok Bot is SpaceXAI's always-on agent layer on macOS and iOS, aimed at SuperGrok Heavy and Cursor-tier subscribers.

The pace of agent launches keeps ratcheting: Meta's free Muse agent just shipped on iPad with new connectors, and OpenAI is building out ChatGPT Dot, its Astra-powered proactive agent. Giving an AI agent a real email inbox is a practical power-up — and another surface where misuse controls will get tested.

OpenAI has added GPT-6.1 Sol to its Ultrafast service tier, the company announced October 8. The speed tier is rolling out across the API, Codex and ChatGPT Work, costing $12 per million input tokens and $60 per million output tokens — six times the model's standard $2/$10 rates.

OpenAI positions Ultrafast as a latency line item for interactive and agentic workloads: up to 6x faster token generation in the API and up to 8x in Codex compared with Sol Standard. The launch completes the rollout previewed September 29, when OpenAI introduced GPT-6.1 Sol as a lower-cost model for coding and professional work and said the faster mode would follow within days.

Sol Ultrafast joins Astra Ultrafast, which shipped at DevDay with the $500 Pro 500 plan. Teams now have to decide which workloads merit the speed premium — inference latency is becoming a product feature with its own price tag.

Anthropic launched new workplace productivity tools for Claude on October 8. Claude Dashboards, available in beta on paid plans, connects to business data platforms and customer-management systems so users can build live dashboards and analyses from plain-language queries.

Claude Motion, in beta for Team and Enterprise customers, lets users create editable animations and export them as video files. Both are aimed at analyzing business data and creating visual content without coding.

The company also made Claude Docs, Slides and Design generally available across all Claude plans after beta testing — a push into document, presentation and design tooling that puts Claude further into productivity territory alongside Google Workspace and Microsoft 365.

SpaceXAI's Grok Bot, the consumer AI agent app launched this summer for iPhone, iPad, and Mac, has received a major backend upgrade: it now runs on Anthropic's Claude Opus 5.5 for intelligence instead of SpaceXAI's own less capable models. The upgrade is live today.

The cross-lab move is notable given the rivalry. Anthropic became a SpaceX customer earlier this year as it shopped for compute to power Claude usage, and SpaceXAI's founder Elon Musk recently admitted Grok 4.7 trails Claude Opus 5.5 in raw capability.

Grok Bot is competing directly against Meta's mostly-free Muse agent and OpenAI's ChatGPT Dot, the Astra-powered proactive agent unveiled at DevDay. The upgrade signals SpaceXAI is willing to rely on a competitor's frontier model where the consumer experience depends on it.

Perplexity released pplx-embed-v2-late on October 7, a pair of ColBERT-style embedding models for retrieving text, images and rendered document pages such as PDFs and slides from a single shared space. Both sizes are on Hugging Face under the MIT licence; a hosted API is planned but not yet live.

The line-up splits the work: a 0.6B model is built for fast, cheap live queries, including on edge hardware, while a 9B model is built for index quality. Because they share an embedding space, a corpus indexed with the 9B model can be searched with the 0.6B model, avoiding 9B inference cost on every query.

Instead of one vector per document, the models keep a compact 128-dimension vector per token and score matches with MaxSim. Perplexity reports 92.4% on the MADQA document-question benchmark for the 9B model, and the approach avoids an OCR step by encoding pages as images.

OpenAI has begun rolling out GPT-6 in ChatGPT alongside a new capability called Intelligent UI, which lets answers include interactive charts, forms, tappable buttons and diagrams instead of plain text alone. The rollout started October 7 for Plus, Pro, Business and Enterprise users, who get GPT-6 Sol, and reaches Free and Go tiers on October 8 with GPT-6 Luna. OpenAI says the feature is tuned for the more than 1.2 billion people who use ChatGPT each week.

Intelligent UI is powered by a library of native, streamable components and a compiler that processes the interface while the model generates it, so elements appear progressively rather than after the full response finishes. The company gave examples like an interactive recipe widget that rescales quantities by guest count, road-trip stops on a map, and on-demand mini tools: a savings calculator, a dinner bill splitter, even a small game played inside the conversation. GPT-6 also starts answering while it is still thinking, which OpenAI says makes responses arrive faster.

The Sol and Luna models debuted September 22 in ChatGPT Work, Codex and the API after the earlier GPT-6 Astra launch; this release moves them into the main Chat tab. OpenAI acknowledged the model's design judgment still needs work, closing its post with the line that 'instead of people adapting to software, software will adapt to people.'

Microsoft made MAI-Code-1.1-Flash available to download and run locally, with 3-bit quantization and a 256K context window. The small coding model, already in production in GitHub Copilot since August, claims 25% faster token streaming and 25% fewer tokens per task than the original MAI-Code-1.

The company also announced experimental on-device access coming to the GitHub Copilot app, Copilot CLI and Visual Studio Code by the end of October. Running it locally requires workstation-class hardware — Microsoft points to machines like the Surface Laptop Ultra with 128GB of memory.

The move extends Microsoft's in-house model strategy into on-device territory. MAI-Code-1.1-Flash costs a fraction of its predecessor — $0.20 per million input tokens and $1.20 per million output — undercutting the Chinese coding models Microsoft had cited as competitive pressure when it launched the model in August.

Meta updated its Muse personal AI agent app on October 7 to support iPad, nearly a month after the mobile app's initial release, The Verge reported. The new version is designed around the iPad's larger display and multitasking, and Apple's App Store listing now identifies Muse as compatible with both iPhone and iPad.

The update also adds a wave of new connectors for work tasks: Canva, Dropbox, Figma, QuickBooks, GitHub, Zoom, Asana, Klaviyo, Granola and Notion. The listing describes Muse as a personal agent that can manage email, calendars, reservations, budgets, shopping, health and fitness data, and linked social and business accounts, subject to user approval for each action.

The iPad release closes out the mobile footprint for Muse, which launched on iPhone, Android and the web on September 8 and in Canada on September 18. Windows remains the last major platform waiting — Meta and Microsoft have said a native Windows app with MXC integration is coming soon.

Google launched a public site on Tuesday that lets anyone verify whether a piece of media was generated using AI. The tool had previously been available only to select journalists, media professionals, and researchers for testing since Google I/O last year, and is now open to everyone. Google says people currently make 1 million verification requests a day.

The site supports JPG, JPEG, PNG, BMP, WEBP, AVIF, HEIC, HEIF, TIFF, TIF, and GIF for images; MP4, MOV, and WEBM for videos; and WAV, MP3, OGG, FLAC, AAC, and M4A for audio. Detection is based on SynthID, the watermarking system Google introduced in 2023. Media from Google's Nano Banana, Veo, and Lyria models, as well as generation-capable tools like Gemini, Flow, ProducerAI, and Vids, all carry SynthID marks. OpenAI, NVIDIA, and Kakao also support SynthID, while Apple is said to be adding support soon.

Google has baked SynthID verification into the Gemini app and Chrome. These tools are not infallible, though — they often fail to identify content created by their makers' own models, and Microsoft and Meta run their own separate watermarking standards. Still, a free public checker is a practical consumer tool in an election of misinformation.

Google has rolled out Gemini in Chrome to Android users across India and brought the agentic Auto Browse feature to the country on both desktop and Android. Gemini in Chrome itself is free: it can summarize pages, answer page-specific questions, connect with Google apps like Keep and Calendar, and generate images with Nano Banana.

Auto Browse, which lets Gemini navigate websites and carry out multi-step tasks like booking parking, filling long forms, or ordering groceries, is gated to Google AI Pro and AI Ultra subscribers. The rollout is phased: Android support currently works on devices set to US-English or UK-English, while desktop Chrome is offered in eight Indian languages.

Google says Auto Browse is secure-by-design, with models trained to detect prompt-injection attacks, and that it shows a plan of the websites it will visit before starting a task, asking for confirmation on sensitive actions like payments.

Anthropic launched Claude Haiku 5.5 on Wednesday, the third model in its Claude 5.5 family in the past month, ahead of a planned IPO. The new small model targets lightweight, repetitive applications such as document summarization, data extraction, live customer support, and browser automation, and can also serve as a budget-friendly sub-agent alongside Sonnet 5.5 or Opus 5.5. Anthropic calls it the cheapest, fastest, and most capable small model it has released.

The headline number is price: for prompts under 100,000 tokens, which account for roughly 90% of historical Haiku workload, the rate drops to $0.10 per million input tokens and $0.50 per million output tokens — a 90% cut that exactly matches OpenAI's GPT-6 Luna. Above that threshold, pricing quintuples to $0.50/$2.50, still about half of Haiku 4.5. Anthropic says average running costs are around 75% below Haiku 4.5, factoring in an updated tokenizer.

Haiku 5.5 is also the first Haiku with an adjustable effort setting, letting developers dial compute up or down to trade cost against intelligence. It ships with a one-million-token context window and a first for the Haiku line: built-in safeguards for a narrow set of high-risk cybersecurity requests, without impacting most everyday tasks. The model is live now on the Claude Platform, AWS, Google Cloud, and Microsoft Azure under the model ID claude-haiku-5-5. With this launch, the 5.5 generation rollout that began with Opus 5.5 in September is complete.

OpenAI opened its dedicated Decisions API in public beta on October 6, running only on GPT-6 Luna. The announcement on the OpenAI developer forum prices it at $0.10 per 1M input tokens with zero charges for output tokens or cache reads and writes. The endpoint hits POST /v1/decisions and returns typed answers: a 0-to-1 probability, a choice from fixed options with confidence scoring, or a score against ordered severity levels.

The pitch is speed: OpenAI says the endpoint produces answers about 10x faster than the Responses API. The beta ships with Zero Data Retention support, HIPAA eligibility and US/EU data residency, positioning it as a drop-in for moderation and gating flows that previously stitched together JSON-schema prompts on Chat Completions.

The Decisions API debuted as a limited preview at DevDay on September 29. General availability is expected in the coming weeks.

ChatGPT can now take audio files as conversation attachments. OpenAI's release notes dated the change October 6, 2026, and the supporting help article says audio uploads are available with paid ChatGPT subscriptions and workspaces — the free plan is excluded at launch.

Nine formats are supported: WAV, MP3/MPEG, OGG/OGA, audio-only WebM, PCM, FLAC, AAC, M4A and audio-only MP4, with single files capped at 512 MB. OpenAI warns transcripts may contain errors, speaker identification can be unreliable, and very long recordings may be processed in sections or time out — users should check consequential details against the original recording.

The pitched uses are practical: summarize a meeting with its decisions and next steps, ask what was said about a deadline, pull requirements from an interview or lecture, or turn a recording into a follow-up email draft. It lands one month into the agent race where every lab is racing to make old recordings searchable.