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Edition #18 — Anthropic Locks Down Its Most Capable Model

April 10, 20267 min read
The AI stories that actually matter this week | Edition #18 | April 10, 2026
This was one of those weeks where four or five things happened that each could have been the lead story on their own. Meta launched a new AI model from a team it built specifically because it was losing ground. Anthropic decided one of its own models was too dangerous to release. OpenAI published a 13 page document telling Congress how to handle the economy AI is about to reshape. And all of that landed in the same seven day stretch... Let's get to it.

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Top Stories

+ Anthropic Restricts Its Own Model After Finding 27 Year Old Bug

On Monday, Anthropic announced that Claude Mythos, its most capable model to date, will not be released to the public. Instead, it is being made available only to a selected group of more than 40 technology and cybersecurity companies through a program called Project Glasswing. The reason: Anthropic's internal testing found that Mythos can discover software vulnerabilities that have gone undetected for decades. In one test, the model identified a bug that had been present for 27 years and had never been caught by human reviewers. Anthropic assembled more than 50 cybersecurity defenders to evaluate the model and concluded that unrestricted access would create too much risk.
What it all means: Anthropic is essentially saying the model works so well at finding security flaws that putting it in the wrong hands could cause real damage. The Project Glasswing approach, giving it only to defenders, is a new kind of release strategy. It is also a test of whether the AI industry can self-regulate on capability.

+ OpenAI Tells Congress: Tax the Robots, Fund the Public, Try a Four Day Week

OpenAI published a 13 page policy document titled "Industrial Policy for the Intelligence Age" aimed at shaping how Congress approaches AI legislation. The proposals are sweeping. Among them: a tax on automated labor to replace declining wage-based tax revenue. A public wealth fund that would hold equity stakes in AI companies and distribute returns to citizens. And government-backed experiments with a 32 hour workweek at current pay. The document also calls for formal worker representation in AI deployment decisions and new safety containment plans for advanced systems. OpenAI plans to host discussions at its upcoming Washington, D.C. workshop opening in May.
What it all means: OpenAI is positioning itself as the company that wants to share the upside, not just capture it. Whether that framing holds up under scrutiny from lawmakers and labor advocates is another story. But the fact that the conversation has moved from "should AI take jobs" to "how do we restructure the economy around AI" tells you where things stand.

+ Meta Launches Muse Spark From Its New Superintelligence Labs

Meta released Muse Spark on Wednesday, the first AI model from Meta Superintelligence Labs. This is the research unit CEO Mark Zuckerberg built after concluding that Meta's Llama models were falling behind OpenAI and Anthropic. To lead it, Meta brought in Alexandr Wang, the former CEO and co-founder of Scale AI, and invested $14.3 billion in Scale for a 49% stake. Muse Spark accepts voice, text, and image inputs but produces text only. Meta says it is competitive with leading models in areas like understanding images and processing health information, but the company acknowledges it still trails competitors in coding. The model is free to use and will power Meta AI across Facebook, Instagram, WhatsApp, and the Meta AI app.
What it all means: Zuckerberg spent billions on an outside hire and a data labeling deal to catch up. The first result is a model Meta itself says is not best in class yet. Whether this becomes a turning point or an expensive detour depends entirely on what comes next from Wang's team.

+ Amazon CEO Tells Shareholders to "Bet Big" on AI as Spending Hits $200 Billion

Andy Jassy's 2026 shareholder letter laid out the scale of Amazon's AI commitment. The company expects about $200 billion in capital expenditure this year, with the majority going to AWS and AI infrastructure. Jassy said Amazon is "monetizing capacity as fast as we can install it" and identified AI chips, robotics, and low orbit satellites as the primary investment areas. The letter went further than past communications. Jassy wrote that "every customer experience that we know of today is going to be reinvented" and framed AI not as one bet among many but as the central organizing principle for the company going forward.
What it all means: Amazon is not experimenting with AI. It is rebuilding itself around it, from the warehouses to the cloud to the satellites. When the company that delivers your packages, hosts your streaming, and runs the infrastructure behind half the internet says every experience is about to be reinvented, that is a statement worth taking seriously.

More Stories

Disney Cuts Up to 1,000 Jobs in First Move Under New CEO.

Josh D'Amaro, who took over as Disney CEO in March, is making his first major move: eliminating up to 1,000 positions, primarily in marketing. The company recently unified marketing for entertainment, experiences, and sports under a single CMO in an effort known internally as Project Imagine. For context, Disney employs about 231,000 people.

EU Bans AI-Generated Images in Official Communications.

The European Commission, European Parliament, and Council of the European Union have banned their staff from using AI-generated images and videos in official communications. The institutions will still allow AI for technical editing, such as improving image quality, but fully generated visuals are off-limits. It stands in contrast to the United States, where AI-generated imagery has appeared in presidential communications.

OpenAI Will Reserve IPO Shares for Retail Investors.

CFO Sarah Friar confirmed that OpenAI will allocate a portion of its upcoming IPO to individual investors, not just institutions. The company tested the approach in its recent $122 billion funding round, which drew more than $3 billion from retail participants. Friar said the decision reflects the company's belief that "AI needs to garner trust" and that "it isn't just that a very small group" benefits. The IPO is projected to be filed in the second half of this year.

Why It Matters

Every major story this week involved a company deciding what not to do. Meta decided open source was not working and went closed. Anthropic decided its own model was too powerful to ship. OpenAI decided the government needs a plan for what happens when AI changes the labor market. The building phase is giving way to a choosing phase, and the choices these companies are making right now will shape what AI looks like for everyone else.

For You

OpenAI's policy paper and the IPO retail allocation are both aimed at the same idea: making sure regular people are not left out. A public wealth fund, a shorter workweek, and the ability to buy shares in the most valuable AI company before it goes public are all proposals that would directly affect your household. None of them are guaranteed. But the fact that the company building the technology is also proposing the safety nets is new.

For Your Work

The Meta and Amazon stories are worth paying attention to together. Two of the largest employers on earth are telling you, directly, that they are reorganizing around AI. Amazon is spending $200 billion this year. Meta scrapped its AI strategy and started over. If you are in a company that has not started its own version of this conversation, the gap between you and your competitors is getting wider every quarter.

One Thing To Try This Week

How to Use AI for Meeting Prep

Last week we covered how to upload and work with your own documents. This week builds on that. If you learned how to give AI context by uploading files, now you are going to use that same idea to walk into every meeting better prepared than anyone else in the room. Meeting prep is one of the highest return uses of AI because it turns 5 minutes of setup into an hour of saved scrambling. Here is how to do it on each platform.

Claude (via Cowork or claude.ai)

  1. Open the Claude desktop app and switch to Cowork mode (click "Cowork" in the sidebar or top tabs).
  2. Start a new task or open an existing project.
  3. Give Claude your meeting context. You can paste in the agenda, attendee list, and any background material. If you have documents from last week's lesson, upload those too.
  4. Ask Claude to prepare you. Try something like: "I have a meeting with [company/person] about [topic] at [time]. Based on what I have shared, give me a briefing with key talking points, likely questions they will ask, and anything I should know going in."
  5. Claude will generate a structured prep document. You can ask follow-up questions to dig deeper on any point.

ChatGPT

  1. Open ChatGPT (app or web) and start a new conversation.
  2. Paste your meeting agenda, attendee names and roles, and any relevant background. If you have notes from a previous meeting, include those too.
  3. Ask ChatGPT to build your prep. Use a prompt like: "Prepare me for this meeting. Summarize what I need to know, suggest questions I should ask, and flag any risks or sensitive topics."
  4. ChatGPT will return a structured briefing. You can refine it by asking for more detail on specific attendees or topics.

Microsoft Copilot

  1. Open Outlook (web, Windows app, or mobile) and go to your calendar.
  2. Click on the meeting you want to prepare for to open the event form.
  3. Look for the "Prepare for this meeting" section at the top of the event. Click "Show more" to see the full set of insights.
  4. Copilot will automatically pull together summaries of related emails, documents, your open tasks, and notes from the last time you met with these people. No prompting needed.
  5. If you want to go deeper, click "Prepare with Copilot in chat" and ask specific questions, like "What are the open action items from our last meeting?" or "Summarize the most recent email thread with this group."
Bonus: If you are on a ChatGPT paid plan (Team tier or above), ChatGPT has a Record feature that can transcribe meetings in real time. After the meeting, it generates a summary with action items. To use it, click the Record button at the bottom of any chat before your meeting starts.
Try This Prompt
I have a meeting on [date] at [time] with [attendee names and roles] about [topic]. Here is the agenda: [paste agenda]. Based on this, give me: (1) a one paragraph summary of what this meeting is really about, (2) three questions I should be ready to answer, (3) three questions I should ask, and (4) one thing I should avoid saying or doing.

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