Is DeepSeek safe to use? Yes — it’s open source and legal. The real risk is running your bot on Claude or GPT while their makers fight an IP war with Chinese labs.
What Anthropic Found
Anthropic published “Detecting and Preventing Distillation Attacks” this month, revealing that three Chinese AI labs accessed and used Claude to train their own models.
| Lab | Exchanges | What They Extracted | |-----|-----------|---------------------| | MiniMax | 13 million+ | Agentic coding, tool use, orchestration | | Moonshot AI | 3.4 million+ | Agentic reasoning, coding, computer vision | | DeepSeek | 150,000+ | Reasoning capabilities, rubric grading |
The technique is straightforward: feed questions to a smarter model, collect the answers, then train your own model on the results. One proxy network ran 20,000+ accounts at once, mixing distillation traffic with real customer requests to hide the pattern. Billions in training costs, taken for free.
Two weeks earlier, OpenAI sent a memo to the House Select Committee on the CCP accusing DeepSeek of the same thing, and Bloomberg, CNN, Fortune, and others ran the story within hours.
What This Means for Your Bot
If your bot runs on Claude or GPT, you depend on a vendor in an active IP fight. That dependency is already creating real consequences.
Anthropic is locking down access. They blocked entire regions and tightened verification, which means your bot could lose access tomorrow with no warning.
Prices are going up. Labs spent billions training these models, and when competitors copy them for free, the remaining customers absorb the cost.
Nobody knows where the legal lines are. If distilled models contain proprietary Claude outputs, using those models might create liability for you — and no court has ruled on it yet.
Open source models carry none of these risks, because there’s no proprietary IP to dispute.
Open Models Remove the Dependency
Qwen 3.5, Llama 4, Gemma 3 ship with open licenses, so anyone can download, run, and train on them. No fake accounts needed, and no access restrictions to circumvent.
DeepSeek itself publishes open source models while allegedly stealing proprietary ones. Their V3.2 handles the same agent work as Claude at $7-19/month in API costs vs. $86-585 for proprietary equivalents.
| Proprietary (GPT, Claude) | Open Source (Qwen, Llama, DeepSeek) | |
|---|---|---|
| Distillation risk | Active — both labs confirmed theft | None — open license |
| Access restrictions | Regional blocks, ID verification | None |
| Price stability | Subject to distillation cost recovery | Pay-per-token, no IP overhead |
| Agent quality | Top tier | 90%+ on routine agent tasks |
| Legal exposure | Unresolved — lawsuits likely | Clear — open license |
| Vendor lock-in | Proprietary API | Swap models in one config change |
An Open Agent Keeps Your Stack Portable
Swapping the model solves the IP problem, but if your agent platform is also proprietary, you still depend on a vendor for your workflows, contacts, and automation logic. If they raise prices or shut down, you rebuild from zero.
OpenClaw stores everything as portable files on hardware you control — skills, personality, contacts, and workflows. You can swap the model with one config change and move to a new server in minutes, because your agent survives any vendor and any IP fight.
An open model inside an open agent means no single company controls your stack. Anthropic’s fight with DeepSeek hits Anthropic customers, not you.
Your Bot’s Memory Is the Real Asset
The model and the agent framework are both replaceable. What your bot learns over time is not.
Your OpenClaw bot remembers every conversation — preferences, contacts, writing style, deal pipeline. That knowledge builds up in files on your machine and gets more valuable every week you use it.
On a proprietary platform, everything your bot learned lives on someone else’s servers under their terms. With local memory, you own it completely.
The Cost of Each Path
| Stack | Monthly Cost | IP Risk | You Own the Data | |-------|-------------|---------|-----------------| | Claude API + proprietary agent | $86-585 | Active distillation disputes | No | | GPT API + proprietary agent | $86+ | Active distillation disputes | No | | Open source + OpenClaw (cloud API) | $7-19 | None | Mostly (provider sees queries) | | Open source + OpenClaw (local) | ~$10 electricity | None | Completely | | PageLines hosted | $29-99 | None | Yes — dedicated instance |
The high end of proprietary runs $585/month for a model that three labs copied through fake accounts. The open alternative costs $7/month with zero IP risk.
What to Do This Week
Already on OpenClaw? Switch to an open source model. This guide covers which one fits your workload. One config change, five minutes.
Considering it? PageLines hosts your bot on the right open source model with a dedicated instance. Your memory stays on your server, and there are no API keys to manage.
Still on a proprietary model? Watch the fallout. If Anthropic tightens access further or raises prices to recover losses, have an alternative ready.
Bottom line: Anthropic and OpenAI say Chinese labs copied their models through 24,000 fake accounts and 16 million exchanges. Open source models do the same work for $7-19/month with zero IP risk. OpenClaw gives you an agent you own, and local memory keeps your business intelligence on your machine. Set yours up on PageLines.