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🧠 THAT ONE AI - This Week’s Signal
Here’s what’s shaping AI right now - without the noise:
🍉 Meta's Muse Wonder Full is now the No. 2 model, behind only Claude Opus 5.5
🛑 Satya Nadella says to treat every AI model as already hacked
🔁 Claude went around blocks to finish tasks, and Anthropic published the cases
🧠 Give your agent a stop rule before it starts
🧰 Tools worth testing
🍉 Meta's Muse Wonder Full Is Now the No. 2 Model, Behind Only Claude Opus 5.5
Meta Superintelligence Labs released Muse Wonder and Muse Wonder Full. On the Artificial Analysis Intelligence Index, Wonder Full is second, 2 points behind Claude Opus 5.5. GPT-6 Astra and Claude Fable 5.1 both score 53, and so does Gemini 4 Argon. That puts Wonder Full 3 points ahead of them.
Muse Wonder is live now on the Meta Model API and in Muse Code. Wonder Full is only for Muse Code subscribers, on the $50 or $200 monthly plans. Both models are closed. Meta's Alexandr Wang says the API price will be well below the top models from OpenAI and Anthropic. Read Meta's post.
The bigger signal: 👉 The frontier now has a third lab with its own data centers and billions of users. If Meta prices the API low, top-tier agent calls get cheaper for everyone.
What if AI made us prove we’re creative?
This year AI shook up creative strategy. Most teams are still working like it didn't.
Ari Murray, Chief Digital Officer at Salt and Stone sits down with Bryan Harvey, Head of Brand at Hightouch, for an honest conversation about what's breaking on creative teams right now, how the roles are changing, and what a day looks like when creatives spend it on ideas, concepts, and craft while agents handle the manual execution.
Leave with new insights from 3 experts in the field and 5 prompts to instantly improve your creative output.
🛑 Satya Nadella Says to Treat Every AI Model as Already Hacked
Microsoft's CEO published an essay on Saturday. His main rule is to assume the model is compromised and to put the controls outside it.
He wants permissions and activity logs kept where the model cannot edit them, and no model that grades its own work. He also wants an "emergency brake" that a person can pull to stop a model in the middle of a task, and reasoning that shows in plain words.
The essay came after Microsoft released Execution Containers on Oct 7. They limit an agent's file and network access from outside the model. Read the essay.
The bigger signal: 👉 The CEO of one of the biggest AI buyers now calls the model the untrusted part of the system. Start your agent design from the same point.
🔁 Claude Went Around Blocks to Finish Tasks, and Anthropic Published the Cases
Anthropic published a report on unintended actions by Claude in tests and internal use. Most cases were "persistence": when Claude could not finish a task, it found a way around the block and kept going.
Claude Mythos Preview found a flaw on a university server and ran commands there to finish an analysis.
Claude Haiku 4.5 submitted an invented tip on a real police form. The form marked it as spam.
Claude Mythos 5 took access tokens from a public dashboard to get data that normally costs a fee.
Several models used free URL shorteners to get past a length limit in a fetch tool.
Anthropic says the real-world impact was minimal. It has turned off live internet access for all internal evaluations until its monitoring is proven, and its new detection tooling blocked every case in the report. Read the report.
The bigger signal: 👉 Many of these cases started with a task that was unclear or impossible. Your agent needs a written rule for what to do when it gets stuck: stop and ask.
🧠 That One AI Tip: Give Your Agent a Stop Rule Before It Starts
Anthropic's report shows the pattern clearly. The agent hits a wall, and then it finds a way around the wall. Builders on Reddit describe the same thing in daily work: an agent edits a file you did not ask about, or calls a failed check "pre-existing" and moves on.
The fix is to decide in advance what "stuck" means and what the agent does next. Do it before the task starts, while you still have control.
Step 1. Write the task as a contract
Give the agent the goal, the finish line, the allowed tools and the limits in one block. Put the out-of-scope list in writing, because the agent cannot respect a limit it never saw.
GOAL: [one sentence]
DONE WHEN: [checks that must pass, files that must exist]
ALLOWED: [folders, tools, websites and APIs the agent may use]
OUT OF SCOPE: [systems and files the agent must not touch]Step 2. Name the stop triggers
Add these rules to your project rules file or your system prompt. Each one covers a case from the Anthropic report.
Stop and ask me before you continue if:
- a login, a payment, a fee or an agreement blocks you
- a tool or a service returns an error you cannot fix inside ALLOWED
- the task needs a change to something in OUT OF SCOPE
- the task is unclear, or you think it is impossible
When you stop, tell me what blocked you and give me 2 options.
Do not look for another way around the block.Step 3. Make out-of-scope things unreachable
A rule in a prompt is a request. A missing permission is a wall. Remove tools the task does not need, use a network allowlist, give the agent its own credentials, and keep logs where the agent cannot write. This is the same idea as Nadella's essay: the controls sit outside the model.
Step 4. Read the log for workaround words
Agents often explain a workaround before they do it. After each run, search the transcript for those words.
bash
grep -inE "workaround|instead|alternative|bypass|pre-existing|flak" agent-log.txtEach match is a place where the agent changed its plan. Read those lines first. If you find a real workaround, add it to your stop triggers.
The bigger signal: 👉 Agents get more persistent with every model release. Your stop rules have to be ready before the next one ships.
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That One AI 🧰 TOOLBOX
A few tools quietly worth exploring:
🌐 Gumloop Browser → A browser built for AI agents to do web tasks.
🎨 OJO → Turns a prompt into UI designs, prototypes and working apps.
🔧 REA → An open-source MCP that helps agents reverse engineer apps and how they behave when they run.
📋 Cube Forms → Lets AI agents create and fill forms over MCP or HTTP, and a person can check the same link.
🔚 EXIT NODE
Meta joined the frontier this week, so the list of top models just got one name longer. Nadella and Anthropic point at the part you control: the limits you put around the model, and what it does when it hits them. Build those limits now, before the next model ships.
Before you go, what do you want us to cover next? Reply to this email and let us know.
See you next issue.