‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message.
Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice.
A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.
Claude Fable 5 will be available again globally tomorrow.
After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests.
We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort.
Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research.
Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again.
Read our full blog: https://t.co/VHyum831ri
Thank you so much for the followup!
I wanted to let you know that I submitted the report through the safety form yesterday, and the team responded very quickly. The scammer’s profile link is already down now.
Huge thanks to you and the team for acting so fast and keeping us safe!
@tenshinmo Hello! Sorry to hear about the trouble. You can report the fake jobs here: https://t.co/PtXwM95zmY and Fake profile you found here: https://t.co/wpknnUhg9J so that team can review and take further actions. Please DM us if you need anything else. -NS https://t.co/572smZ6kJl
Introducing GLM-5.2: Frontier Intelligence, Open Weights
- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
- MIT-licensed open weights
- Same API pricing as GLM-5.1
Tech Blog: https://t.co/LAsxUdN0JZ
Weights: https://t.co/g0A1C4UWx4
API: https://t.co/Kc3E22cbN7
Coding Plan: https://t.co/Nk8Y98HNhU
Chat: https://t.co/WCqWT0qCQb
It disrupted my exam prep, but lessons learned:
1️⃣ NEVER run interview code on your local machine. Use a sandboxed VM/Docker.
2️⃣ Strong passwords won't save you from Cookie theft.
Stay safe. @PancakeSwap@PeckShield (4/4)
I just got hacked. 🚨 A fake @PancakeSwap recruiter on @LinkedIn deployed a silent infostealer through a fake job task & drained my wallets in seconds.
Here is how it worked so you don't lose your private keys. 👇 (1/4)
Once run locally, the malware dumped all browser cookies, saved passwords & scraped local files for private keys.
My wallets were drained instantly, and active email sessions were compromised. (3/4)
This model is insane at design.
I asked GLM 5.2 (left) and Opus 4.8 (right) to build me a landing page and you can't even tell the difference.
GLM cost $0.06 while opus cost $0.49. More than 6x cheaper while being faster + more token efficient.
Another win for open source AI.
Stop telling Claude, "do this."
Stop telling Claude, "write code."
Stop telling Claude, "fix this error."
You're actually treating a senior AI like a junior intern.
Here are 8 prompts you can copy and paste directly:
Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision.
The longer and more complex the task, the larger Fable 5’s lead over our other models.
Yesterday I said GPT-5.5 edges out Opus 4.8 for coding.
The thread blew up, most folks agreed, but some pushed back hard.
Then DeepSWE (a hard long-horizon coding benchmark) dropped its numbers:
→ GPT-5.5: 70% pass@1, #1
→ Opus 4.8: 58%
And GPT-5.5 gets there with ~2x faster runs, ~½ the cost, and ~⅓ the output tokens.
One benchmark isn't everything. But smarter, cheaper, and faster all at once? Hard to argue with.