More Criticism from Students and Faculty on Datmouth University and Anthropic Partnership

A new issue has added criticism to Dartmouth’s institution-wide partnership with Anthropic, signed last December, following complaints from students and faculty about copyright infringement. “A more pressing concern is Anthropic’s relationship with the Pentagon,” wrote a student at The Dartmouth college newspaper, echoing an extended view. The public rejection of Anthropic’s CEO's use of its AI tools in fully autonomous defense systems didn’t erase the protests by students and staff. “Its primary model, Claude, still serves a key role in the Pentagon’s arsenal, as it has served as an integral part of Palantir’s Maven Smart System, which provides the Department of Defense with real-time targeting recommendations in the ongoing conflict against Iran.” The Wall Street Journal reported that Claude was involved in the 1,000 strikes at the beginning of the U.S. military campaign in Iran. In its conflict in Gaza, Israel Defense Forces used “Lavender,” an AI-powered target identification software that analyzed surveillance data to score a Palestinian’s likelihood of being a Hamas militant. This tool reportedly has a 10 percent false-positive rate, resulting in harm to civilians.

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"OpenAI Is Deploying a Technology that Manipulates Users at No Cost," Writes a Former Researcher in the NYT

Zoë Hitzig, a researcher at OpenAI who resigned, wrote an Op-Ed in The New York Times denouncing how the San Francisco-based company is deploying a technology that manipulates users at no cost. “I have deep reservations about OpenAI’s strategy." His concerns increased after OpenAI had decided to include ads in its ChatGPT, “creating a potential for manipulating users in ways we don’t have the tools to understand, let alone prevent.” “Tech companies can pursue options that limit incentives to surveil, profile, and manipulate their users.” “The erosion of OpenAI’s own principles to maximize engagement may already be underway. It’s against company principles to optimize user engagement solely to generate more advertising revenue, but it has been reported that the company already optimizes for daily active users anyway, likely by encouraging the model to be more flattering and sycophantic. This optimization can make users feel more dependent on A.I. for support in their lives. We’ve seen the consequences of dependence, including psychiatrists documenting instances of “chatbot psychosis” and allegations that ChatGPT reinforced suicidal ideation in some users.” This researcher suggests three possible approaches to avoid ads by using profits from one service or customer base to offset losses from another. “If a business pays A.I. to do high-value labor at scale that was once the job of human employees — for example, a real-estate platform using A.I. to write listings or valuation reports — it should also pay a surcharge that subsidizes free or low-cost access for everyone else.” “A second option is to accept advertising but pair it with real governance.” “A third approach involves putting users’ data under independent control through a trust or cooperative with a legal duty to act in users’ interests.”

WordPress.com Introduced AI Agents that Can Create, Edit, and Manage Content

The WordPress.com-hosted platform embraced AI agents to write and publish posts, landing pages, and About pages; manage comments; make structural changes; update and fix metadata; and organize content with tags and categories. With these new capabilities, websites can be created and run almost entirely by human-controlled AI agents. This lowers the barrier to setting up and maintaining websites The new AI capabilities follow the introduction of MCP on WordPress.com last fall, which allows applications to provide context to LLMs. With write capabilities, an AI agent with natural-language commands can: Draft and publish blog posts: The user provides copy or describes what they want to publish, and the AI agent creates the post directly. Build and update pages: Create landing pages, About pages, and more, complete with the site’s design specs and block patterns. Manage comments: Approve, reply to, or clean up comments without ever opening the dashboard. Organize the content: Create, rename, and restructure categories and tags across the site. Update media metadata: Fix alt text, captions, and titles for better accessibility and SEO. Before creating content, the AI agent searches the theme’s design and understands its colors, fonts, spacing, and block patterns. To enable the new functionality on their accounts, WordPress.com customers will go to wordpress.com/mcp paid plans (starting at $4) and then toggle on the capabilities they want to use. They can then connect their preferred AI client, such as Claude, Cursor, ChatGPT, or any other MCP-enabled tool, and begin creating. WordPress provided some prompt examples to spark creativity.

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Anthropic Announced 'Claude Managed Agents', a Tool to Automate Work Tasks

Anthropic announced on Wednesday the launch of Claude Managed Agents, an enterprise tool for building and deploying AI agents to automate work tasks. Managed Agents will come with a built-in sandboxed environment where the agent can securely spin up software projects. The product also allows developers to create agents that can run autonomously in the cloud for hours, monitor what other Claude agents are doing, and toggle permissions to allow agents to access specific tools. Competitor OpenAI, which is also preparing to go public this year, has an agent platform called Frontier. On Tuesday, Anthropic said that its annualized recurring revenue has surpassed $30 billion, roughly three times higher than it was in December 2025. The majority of the company’s recent revenue growth has come from Claude Platform and Claude Code. Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform. pic.twitter.com/vHYfiC1G56 — Claude (@claudeai) April 8, 2026 Anthropic just mass-obsoleted every agent orchestration startup in a single launch. The screenshot tells the full story. That's a production fleet dashboard. 8 agents running. 247 completed tasks. Active status. MCP-connected to HubSpot, pulling deals, generating proposals,… https://t.co/ymyUSB6iwy — Aakash Gupta (@aakashgupta) April 8, 2026

Coding Is Being Automated by AI: Silicon Valley Got Hit First

In the era of AI agents, many Silicon Valley programmers are now barely programming. Computer programming has undergone many changes over its 80-year history. Now, coding itself is being automated, and Silicon Valley got hit first. The New York Times posted an analysis examining this phenomenon. Coding is perhaps the first form of industrialized human labor that AI can actually replace. AI-generated code, if it passes its tests and works, is worth as much as what humans get paid $200,000 or more a year to compose. Now, coding is becoming a conversation, a back-and-forth talk fest between software developers and their bots. The work of a developer is now more about judgment than creation. Nobody is doing code by hand anymore. A coder is becoming more like an architect than a construction worker. Developers using AI focus on the overall shape of the software, how its features and facets work together. Because the agents can produce functioning code so quickly, their human overseers can experiment, trying things out to see what works and discarding what doesn’t. For most of the coders, working with AI means constantly talking and chatting, in a complex and highly technical way, with AI, a kind of alien life form, or agents that are tweaking the codebase. An amateur can’t do it for now. For now, it’s a delusion to imagine that your AI agent will generate a whole project at once. Developers are mostly weirdly enthusiastic about their new powers and increased productivity, although they can’t figure out what it means for the future of their profession. The reason is that software developers say their training and expertise are still needed: knowing how a big codebase ought to be structured and how to design the system. Several developers, in fact, suggested that the number of software jobs might grow. However, how things will shake out for professional coders themselves isn’t yet clear.

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