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Microsoft returns to the U.S. bond market, plans to raise at least $25 billion

Microsoft announced it is returning to the U.S. bond market, planning to raise at least $25 billion through up to 10 tranches—its first return to the U.S. bond market since its $17 billion issuance in 2017. According to Bloomberg, its 40-year bonds were priced close to the long-term bonds of Alphabet and Amazon, even though Microsoft carries a higher AAA rating. CNBC Technology reported that Microsoft is using its S&P AAA rating to finance infrastructure expansion, with management setting a 2026 capital expenditure target of $170 billion; net proceeds will be used for general corporate purposes, potentially including working capital, capital expenditures, share repurchases, acquisitions and repayment of existing debt, with the offering expected to close on November 4. Follow-up reports said Microsoft has completed the $25 billion bond offering, with peak orders exceeding $115 billion and a subscription ratio of 4.6 times, across 10 bonds with maturities ranging from 2 to 40 years; however, its 30-year bond spread reached 95 basis points above the benchmark Treasury, wider than the 30-year bond issued the same week by lower-rated Procter & Gamble.

View story:Microsoft returns to the U.S. bond market, planning to raise at least $25 billion

Rohan Paul says Anthropic's revenue curve will become legendary

On October 28, 2026, Rohan Paul offered the judgment that Anthropic's revenue curve will become legendary. Citing a Bloomberg chart, he said that Anthropic's revenue in the first half of 2026 was nearly 400 times its full-year 2023 revenue, and that no other company in the chart comes close to that multiple; Nvidia, the second-fastest grower, remained below 50 times throughout its first three years after going public, while Alphabet, Meta, Microsoft and SpaceX essentially stayed near the 1x baseline. The same material also states that Anthropic's full-year 2025 revenue was about 100 times that of 2023, so its revenue in just six months of 2026 was about 4 times its full-year 2025 revenue. At present, this judgment appears only in this single source, Rohan Paul, and there have been no subsequent developments.

Gnani AI releases speech recognition model Prisma v3.0

Gnani AI has released Prisma v3.0, an automatic speech recognition model that supports nine Indian languages, including Hindi and Bengali, as well as English, and can transcribe multilingual conversations with intra-sentence Hindi-English code-mixing. According to Analytics India Magazine, the model achieves a macro-average WER of 16.93 on the Vistaar benchmark, lower than ElevenLabs Scribe v2's 19.98, Microsoft Azure Speech-to-Text's 20.51, and Deepgram Nova 3's 26.57. It offers four transcription modes—Verbatim, Transcribe, Code-mix, and Transliterate—and supports up to 200 custom vocabulary terms per request, which can raise the recall rate for these terms from 70.9% to 90.3%. No further updates have been disclosed at this time.

Cofense discloses phishing campaign impersonating Anthropic preview invitations

Cofense disclosed a phishing campaign that impersonates an Anthropic private beta invitation, using GoTo Webinar-branded emails to lure corporate employees into clicking, ultimately stealing Google and Microsoft login credentials. The attack used URL short links and two Cloudflare CAPTCHA pages to block security scans; the fake Google page collected only usernames, while the fake Microsoft page collected both usernames and passwords. Researchers recommend enabling phishing-resistant MFA such as passkeys, and watching for subtle spelling flaws such as the sender "Austin from nthropic".

Bites completes a $40 million Series A funding round

Bites has completed a $40 million Series A funding round led by PeakSpan Capital, bringing total funding to $55 million. According to CTech, its AI Studio can turn documents and standard operating procedures into branded training videos within minutes; each "Bite" is up to 90 seconds long, supports more than 150 languages, and is delivered via WhatsApp, SMS, Microsoft Teams and Slack. The company says customers typically achieve engagement rates above 90% within three weeks, with a net revenue retention rate of 161%. No further developments have been disclosed.

IDC integrates Quanta with Claude and opens it to customers

On October 28, 2026, IDC Research partnered with Anthropic to connect IDC Quanta to Claude through an MCP connector, allowing customers to directly access IDC's forecasts, market data, and research within the Claude app, Cowork, and Microsoft Office plugins, generating cited analyses based on more than 15 billion data points. Reports from the same day also stated that IDC is rolling out Claude company-wide: engineers used Claude Code to cut the rebuild of an internal data warehouse from an estimated three months to three weeks, code reviews from five days to about 30 minutes, and planning sprints from three weeks to three days. There have been no subsequent independent developments so far.

Opera launches WebAI, with local AI models built into the browser

On October 27, 2026, Opera announced that it has begun building local AI models into its browser and described WebAI as a proposed web standard. The first capabilities launched in Opera One as an optional early preview, with Opera GX and Opera Neon to follow. Opera said WebAI is backed by companies including Google and Microsoft; at launch, users can use Google's Gemma as well as Apple's on-device foundation models on Mac, and it offers APIs such as Prompt, Decision, Semantic Embeddings, and Summarizer, Writer, Rewriter, Translator, and Proofreader. The feature must be manually enabled in settings and currently supports only 64-bit Windows PCs with Intel or AMD processors and Apple silicon Macs; it does not support Intel-based Macs, Linux, or Windows on Arm.

Databricks adds productivity and AI data connectors to Lakeflow Connect

On October 27, 2026, Databricks announced that Lakeflow Connect offers native, fully managed connectors for sources including Atlassian (Jira, Confluence), Microsoft SharePoint, Google Workspace (Drive, Outlook, Gmail), GitHub, as well as OpenAI and Anthropic, with data landing directly in Unity Catalog. Unstructured files, pages, and emails land as governed tables, with no need to build or maintain data pipelines, and can be used for enterprise knowledge bases, AI agents, and developer productivity dashboards. According to the Databricks blog, Toyota Finance Australia used its Jira connector to achieve a zero-maintenance pipeline, and VaxCare used its Confluence connector to provide knowledge base support for its chatbot. There are currently no further developments.

Databricks adds productivity and AI data connectors to Lakeflow Connect

On October 27, 2026, Databricks announced that Lakeflow Connect offers native, fully managed connectors for sources including Atlassian (Jira, Confluence), Microsoft SharePoint, Google Workspace (Drive, Outlook, Gmail), GitHub, as well as OpenAI and Anthropic, with data landing directly in Unity Catalog. Unstructured files, pages, and emails land as governed tables, with no need to build or maintain data pipelines, and can be used for enterprise knowledge bases, AI agents, and developer productivity dashboards. According to the Databricks blog, Toyota Finance Australia used its Jira connector to achieve a zero-maintenance pipeline, and VaxCare used its Confluence connector to provide knowledge base support for its chatbot. There are currently no further developments.

View story:Databricks adds productivity and AI data connectors to Lakeflow Connect

Perplexity Releases Practical Guide to LLM Gateways

On October 27, 2026, Perplexity released a practical guide to LLM gateways, explaining how this middleware layer routes, authenticates, caches, and logs model calls, and distinguishing four forms: API gateways, LLM gateways, MCP gateways, and AI gateways. The guide breaks down the mechanism through a six-step request lifecycle, while warning that gateways concentrate credentials from various vendors, and cites the LiteLLM gateway intrusion incident disclosed by Microsoft and two high-severity vulnerabilities, CVE-2026-35029 and CVE-2026-59823, reported by Check Point (already fixed in LiteLLM 1.83.9). The article also lists post-incident reviews of Cloudflare AI Gateway and OpenRouter, four deployment paths, and paid plans starting at about $50 per month. The guide is currently reported by Unite.AI, with no further developments yet.

QorusDocs Launches QPilot Workspace

On October 27, 2026, QorusDocs launched QPilot Workspace, a shared environment that lets business development teams and AI agents co-author proposals, bids, and RFP responses within Microsoft 365, with integrations for Copilot, Claude, and ChatGPT. According to Unite.AI, the product uses PursuitIQ as its knowledge foundation layer, connecting people, project experience, approved answers, and bid history, and organizes workflows through Templates, Assignments, and Skills. QorusDocs says its platform is used by more than 200 organizations, including WSP, CDW, and Insight. There are currently no subsequent developments.

Claude Code v2.1.312 adds the oidc.user_id_claim configuration

Claude Code released version v2.1.312, adding the oidc.user_id_claim configuration. This configuration allows identifying users by a claim in the id_token other than sub, such as the oid in Microsoft Entra ID. The same version also supports clicking the prompt of a queued message in full-screen mode to send it directly, and fixes issues including that after logging in from the VS Code extension, managed settings and organizational policies are no longer fetched within the session, and that Claude overwrites the original file after seeing only the beginning of an oversized CLAUDE.md, while also renaming the usage prompt for the 5-hour window to "5-hour limit". This version is currently available via GitHub Releases.

Microsoft says China-linked hackers breached about 2,250 organizations using AI agents

Microsoft security researchers say that hackers linked to the Chinese government breached ConnectWise's cloud backup service and stole application credentials used to establish data links, allowing them to log in as authorized users to customers' Microsoft-hosted environments and access email and other files. The hackers used AI agents to break into about 2,250 organizations at a rate of nearly 3,000 login attempts per minute, a pace Microsoft says left defenders with almost no time to detect and respond. The AI framework used was the open-source stress-testing framework ARTEX. ConnectWise said it has suspended access to the cloud backup system and launched an investigation, and as of Thursday it was restoring service.

Research team fine-tunes Qwen3.8-27B with RL using ThinkingBox-Bench terminal-state checks as rewards

The research team performed full-parameter RL fine-tuning of Qwen3.8-27B, using the executable checks on the final database state in ThinkingBox-Bench directly as reinforcement learning rewards. This work was done by the Microsoft Copilot Studio team in collaboration with Toloka and others. On 507 out-of-distribution tasks not used in training, the number of tasks the model passed on all 20 attempts rose from 38 (7.5%) to 107 (21.1%), pass@1 rose from 51.70% to 60.78%, and the cost per successful attempt dropped from $0.177 to $0.139. The training pool used offline-policy relative-difficulty filtering, ultimately retaining 187 tasks; the training and evaluation code has been open-sourced at microsoft/thinkingbox-training.

Microsoft announces that Teams will roll out AI contextual phishing detection

Microsoft announced that Teams will launch an AI-driven, context-aware phishing detection feature. The feature is planned to begin rolling out in early November 2026 and is expected to become generally available worldwide in mid-to-early December. According to the published description, the feature analyzes conversation context to identify phishing, social engineering, impersonation, and deception intent, and can detect suspicious behavior that does not contain malicious links or files, primarily covering chats initiated by external parties for the first time. Administrators can enable it without any action, and message content will not be retained for model training or other purposes. The feature is currently in an announced, pending-launch state, with no subsequent development facts yet.

View story:Microsoft announces that Teams will launch AI contextual phishing detection

British detective investigated over alleged use of Copilot in criminal case decisions

The UK's Independent Office for Police Conduct (IOPC) is conducting a gross misconduct investigation into a senior detective at Derbyshire Constabulary over allegations that they used Microsoft Copilot to help make decisions in criminal cases. According to reports on its behalf, the detective is alleged to have used AI to make policy decisions, assess and manage risk, inform investigative decisions, and input case-related sensitive operational and personal information into the tool. Derbyshire Police approved officers' use of Copilot in May 2025 for drafting reports and summarizing information, but explicitly prohibited inputting operational, sensitive or personal data. The investigation will examine usage between May 2025 and June 2026, and no conclusions have yet been reached.

Microsoft research team publishes test results of AI diagnostic tool on complex cases

On October 23, 2026, the Microsoft research team announced the diagnostic results of an AI diagnostic tool in tests on complex cases. Phoenix Technology reported that day that Microsoft launched the AI diagnostic system Microsoft AI Diagnostic Orchestrator (MAI-DxO), which simulates a joint consultation of physician specialists by orchestrating multiple AI agents; in a simulated evaluation based on complex cases from the New England Journal of Medicine, its accuracy reached 83%, compared with 36% for primary care general practitioners and general internists who could independently consult reference materials, while specialists were not included in the comparison; in an evaluation of common U.S. emergency department cases based on the MIMIC-IV-ED dataset, its diagnostic accuracy was 1.7 times that of human physicians. Cailian Press reported the same day that the tool is powered by GPT-5 and, through a mechanism called the "Diagnostic Orchestrator," simulates multiple clinical experts analyzing collaboratively, deciding step by step which medical histories to ask about and which tests to arrange, and continuously updating diagnostic hypotheses; general practitioners without access to reference materials had an accuracy of about 22%. The research team's next step will be to collaborate with Boston's Beth Israel Deaconess Medical Center to test emergency triage capabilities; Microsoft has not yet stated the timing or form of commercialization.