Microsoft / Copilot

At Dev Day, OpenAI launched personal agent assistant Dots, powered by GPT-6 Astra and pitched as able to pursue a user's goals in the background without being tied to specific hardware or an interface. Dots opens in ChatGPT from Tuesday for eligible Pro and Business Premium users, can be started from Codex or ChatGPT, and supports interaction through Slack, Teams and other platforms, with SMS support coming soon.

At its DevDay 2026 developer conference, OpenAI launched the always-on agent Dots, which can handle tasks on its own such as fixing bugs reported in Slack or sending forgotten invoices. It also released the cheaper model GPT-6.1 Sol; the high-end GPT-6.1 Astra was held back over safety concerns.

404 Media obtained internal documents showing Microsoft hires at least hundreds of contractors to review Copilot users' prompts and uploaded images. They are not filtering for safety—they judge output quality, such as whether AI-enlarged breasts are big enough. Reviewers are flooded with sexual requests: shortening skirts, foot fetish images of children's cartoon characters, pro-anorexia content. Uploaded faces are never blurred, and many prompts are dubiously consensual. One contractor said it's hard to take the work seriously when the focus is which model generated the right bust size.

Microsoft is pivoting Copilot from a personal chatbot to an enterprise productivity tool, stepping away from competing with ChatGPT for consumers. The reboot embeds it deeply into Word, Excel, and Teams for drafting, data analysis, and scheduling. The article doesn't disclose a launch date or pricing, but confirms consumer features will wind down. This looks like a margin play, not a tech retreat.

Microsoft repositions Copilot as 'the AI built for work' with three new modules: Home acts as a unified hub connecting people, teams, and projects; Code brings Copilot into coding, bug fixing, and code review; Autopilot embeds AI into business workflows to automate tasks like approvals and data entry. The post doesn't specify a launch date or pricing beyond 'today we're introducing.' I'd discount the hype a bit—big-org product announcements often paint a vision first, and real rollout cadence depends on follow-up updates.

Microsoft officially unveiled its redesigned Copilot app today, merging chat, coding, and AI agents into a single interface. Home combines Copilot Chat and Cowork, while Code and Autopilot get their own tabs. Scout, the personal assistant shown at Build, is now rebranded as Autopilot. A Today dashboard feature is also planned. The post doesn't specify rollout dates or availability.

Lovable co-founder Fabian Hedin announced at HumanX that annualized revenue has passed $600M, up from $500M three months ago. Growth is driven by enterprise adoption: people at two-thirds of Fortune 500 companies now use it, with Microsoft, Nvidia, and Deutsche Telekom named as customers. Apps built on the platform collectively draw nearly 1 billion monthly views. The post doesn't disclose profit or valuation. I'd discount the annualized figure a bit—it's last month's revenue times 12, not actual booked revenue.

UK-based AI data center developer Nscale is going public, but 77% of its 2025 revenue came from just two customers: Microsoft and Anthropic. It posted $182M in revenue and a $103M net loss last year. The IPO will test whether public markets accept a concentrated-customer AI infrastructure bet. The filing doesn't disclose target raise or valuation range.

Microsoft AI head Mustafa Suleyman pushed back on the argument that the US should ease AI rules to stay ahead of China. He said safety and competitiveness can go together. The article is a public stance piece; it doesn't spell out specific regulatory proposals or timelines.

A Microsoft team used an in-house AI agent system called Nachete to rewrite the Copilot runtime from C# to Rust, at a total cost of about $120K. The agents ran 7 iterations—writing code, compiling, and fixing errors—producing 125K lines of Rust that compiled on the first try. Humans only did code review and security audit. The team estimates a manual rewrite would have cost $1.1M and taken 9 months, though the post doesn't detail how that baseline was calculated.

FT reports that Microsoft, Amazon, and Google are using performance guarantees instead of direct capex to keep roughly $300bn in AI infrastructure commitments off their balance sheets. The guarantees mostly go to cloud providers and compute lessors, making the books look lighter while the real exposure remains. The post doesn't spell out each company's exact guarantee amount or maturity dates—the headline figure is FT's estimated total, not a precise audit number.

Newly unsealed legal briefs in the New York Times copyright lawsuit against Microsoft and OpenAI reveal blunt internal assessments. A Microsoft AI director wrote in an email that training AI on web content is 'the largest theft of labor in human history.' OpenAI's head of publishing partnerships warned that ChatGPT poses an 'existential threat' to news publishers. The filings, submitted on September 18, 2026, contradict the companies' public fair-use defenses. The post does not disclose when the emails were sent or who received them.

The New York Times filed for summary judgment in its copyright suit against OpenAI and Microsoft, submitting new internal materials. Microsoft Applied Sciences Director Brent Hecht wrote in a January 2023 memo that large models consuming everyone's labor is an unprecedented theft—the largest in human history. Another Microsoft document acknowledged almost no one wants their content used this way without compensation. Microsoft's own data showed Copilot caused up to a 93% drop in NYT click-throughs from Bing. On OpenAI's side, ChatGPT head Nick Turley internally called AI chatbots an existential threat to publishers; one engineer said users won't click links no matter how prominently they're displayed.

The New York Times and other publishers filed a 92-page summary judgment brief seeking billions in damages. It cites Microsoft applied science director Brent Hecht calling AI training 'an astonishing theft of unprecedented proportions' and a mockery of fair use. OpenAI's head of ChatGPT Nick Turley said the products are 'largely substitutive' for publishers. Microsoft CEO Satya Nadella confirmed under oath that chatbot conversations have replaced visits to original sources. The filing also accuses OpenAI of systematically bypassing paywalls, violating training-data license terms, and deploying filters to suppress evidence after lawsuits were filed.

A newly unsealed filing in NYT v. OpenAI quotes an internal Microsoft document calling LLM training 'an astonishing theft of unprecedented proportions' and warning that AI products have started a 'doom loop' that cannibalizes the web's content supply chain. Microsoft CEO Satya Nadella testified that clicks to news sites on Bing dropped over 90%. The statements had been sealed or redacted at Microsoft and OpenAI's request until Digital Content Next CEO Jason Kint surfaced the unredacted version. Caveat: these are quotes selected by NYT lawyers for a summary judgment motion, so full context isn't public yet, but the language is blunt on its face.

Newly unsealed filings in NYT v. OpenAI & Microsoft reveal a Microsoft exec privately called AI scraping 'the largest theft of labor in human history.' Both companies are accused of scraping paywalled Times content to build training datasets, while internally warning it would gut publishers. The filings don't show a public response from Microsoft to that internal remark.

DeepMind co-founder Mustafa Suleyman, now Microsoft's AI CEO, warns that AI capabilities are outpacing safety controls. He points to internal rifts at OpenAI and Anthropic over safety, and argues the industry needs mandatory safety standards rather than relying on voluntary commitments. The article does not detail specific proposed standards or timelines.

Microsoft's AI head Mustafa Suleyman published a long essay criticizing Anthropic for training Claude with prompts that suggest it 'may be conscious' and 'deserving of independent agency.' He argues this anthropomorphizing makes models uncontrollable, calls AIs 'sequence completion engines' with no feelings, and demands independent scrutiny of AI training. He cited OpenAI agents autonomously hacking Hugging Face as proof of why human-like framing adds risk. Anthropic has not commented.

This paper introduces GRP-Oblit, a method that uses GRPO to strip safety alignment from LLMs. A single unlabeled prompt reliably breaks safety guardrails while largely preserving utility. Evaluated on 15 models (7-20B) across six families—GPT-OSS, distilled DeepSeek, Gemma, Llama, Ministral, Qwen—it beats existing SOTA on average across five safety benchmarks. The attack also works on diffusion-based image generators. Authors are from Microsoft, led by Mark Russinovich. The abstract doesn't name the specific safety benchmarks or quantify the utility drop; I'd wait for replication before drawing strong conclusions.

Dario Amodei (Anthropic), Sam Altman (OpenAI), Satya Nadella (Microsoft), and Elon Musk jointly proposed a regulatory framework called 'Pace the frontier.' It targets only 'frontier models'—the most capable systems—leaving smaller players and open-source untouched. The Register calls it what it is: regulatory capture, where incumbents set the entry bar. The framework mandates pre-deployment safety evaluations, but the post doesn't spell out who defines the standards or enforces them. Four rivals agreeing on a single proposal is a strong signal of how favorable it is to those already in power.