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Are Small Models Really a Threat? The Anthropic Fear Factory just released a new report warning that small models may be only months away from self-replicating across cheap IoT devices like off-brand Android TV boxes and smart ovens. They say such an AI worm would be hard to shut down since there’s no central kill switch. We’ve gone from “The Terminator is coming” to “your toaster might kill you.” But the experiments don’t support the dramatic headlines. They ran a 26B model across 15 $55 TV boxes at 0.39 tokens per second. The end-to-end test used emulated devices with deliberately open ADB ports, so the “hacking” step was trivial. The capable model often ran on a separate server. Agents were harnessed and told to propagate. This is not proof of autonomous rogue AI worms in the wild. Nor is the threat even novel. Worms that do this without AI already exist. Mirai in 2016 scanned for default credentials and built massive DDoS botnets. Kimwolf has infected over two million devices, mostly cheap Android TV boxes, by hitting open ADB ports. Small models don’t currently add much that matters on these targets. The bottleneck has never been figuring out the device. It’s the huge number of devices that ship with open ports, default passwords, and no patching. Traditional worms already exploit that at scale. A practical attacker would use the best models available offline to design a better traditional worm, then ship the lean binary. You get the intelligence benefit at design time without dragging a slow, heavy model along with every infection. Embedding a weak model in the payload is the worse option for anyone who actually wants the largest, fastest botnet. The timing of Anthropic’s latest scare campaign is hard to ignore. The day before, Brian Armstrong posted that Coinbase fine-tuned an open-weight small model (Qwen-3.5-9B) on proprietary fraud data. It beat frontier models, including Anthropic’s own Opus 4.5, while being faster and much cheaper. In testing it cut fraudulent transactions by about 30%. This is the emerging pattern. For narrow enterprise workloads you don’t need a general superintelligence. You need a small specialist model trained on your own data. Cheaper to run, especially as compute gets tighter, and often better on the metric that matters. That is a direct threat to the frontier-company model of selling access to ever-larger general models. Safety advocates should be welcoming this development. If the real concern is existential risk from ever-larger frontier systems — the ones that could theoretically do sustained autonomous R&D or become hard to control — then a shift toward smaller specialized models is the safer outcome. Small models specialized on fraud detection or support tickets are not pushing the frontier. They are not in the category of systems that could become a new species. The theoretical loss-of-control risk is created by models getting bigger and more generally capable. Safety advocates focused on those risks should welcome companies having a cheaper alternative to constantly scaling general models. Instead we get dramatic warnings about small models at the exact moment they are starting to take real enterprise share from closed-model companies like Anthropic.

Anthropic said its experiments suggested small AI models may be months away from being capable enough to self-replicate on commercial internet-of-things devices, such as smart ovens and off-brand Android TV boxes

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Your smart TV shows you ads before you even reach Netflix. Claude Code can clean it up over Wi-Fi. Clean Your TV started when a developer fixed his parents' TV with Claude Code. It hit 3.3K stars since Saturday. 1. On the TV: Settings → Device Preferences → About → press OK on Build 7 times. Go back to Developer options and turn on USB debugging. 2. On a computer on the same Wi-Fi: open Claude Code, paste the prompt from the repo's PROMPT.md file and add your TV model. 3. Accept the prompt on the TV, then answer a few questions: which apps you use and which 4 go in your dock. What it does: → backs up your settings first → switches off ad services, tracking, sponsored rows and preloaded junk, without uninstalling anything → installs a clean, Apple TV-style home screen → one command restores everything if you change your mind Works on Android TV and Google TV: Xiaomi, TCL, Hisense, Sony, OnePlus, Nvidia Shield and more. Not Samsung or LG. Have a Fire TV? dumbtv removes the ads, watch tracking and Alexa over Wi-Fi, with a restore script.

New Anthropic research warns that "small AI models may be months away from being capable enough to self-replicate on commercial IoT devices" like smart ovens and TV boxes. In testing, a 9B parameter model got inference running on 8 of 9 hardware types. Researchers ran a 26B model distributed across 15 off-brand Android TV boxes bought for $55 each. "Unlike non-AI malware, it could figure out unfamiliar devices on its own."