AI Shutdowns, WebAssembly Wheels, and Scam Bots

Amazon CEO Andy Jassy may have been the source of security concerns that led Anthropic to cut off worldwide access to two models on Friday.

The Wall Street Journal reports that Jassy told Treasury Secretary Scott Bessent and other government officials that Amazon researchers used Anthropic’s Claude Fable 5 to obtain information that could be used in cyberattacks. The government subsequently imposed an export control ban on the Fable 5 and Mythos 5 models.

An Amazon spokesperson said in a statement that while it’s “not uncommon for governments to seek our counsel on potential security risks,” the company does not “share the details of those discussions.”

The spokesperson also pointed to an update stating that AWS has been affected by the model cut off.

The Information and Reuters similarly reported that Amazon (a major Anthropic investor ) had communicated concerns about the security of Anthropic’s models.

Chinese cybercrime operation that used AI to scam ‘hundreds of thousands of victims’ sued by Google Lorenzo Franceschi-Bicchierai 1:38 PM PDT · June 12, 2026 Google is suing to dismantle the infrastructure behind an alleged massive AI-powered cybercrime operation.

On Friday, the tech giant announced a lawsuit against an alleged Chinese cybercrime network called Outsider Enterprise, which Google says uses AI in its campaigns to send scam text messages impersonating Google and other brands to steal passwords and credit card numbers.

Outsider Enterprise has financially scammed “hundreds of thousands of victims” with losses “estimated in the millions.” The group deployed 9,000 fake websites, one million fraudulent web domains, and 2.5 million texts sent to Android users in a two-week period, according to Google.

The company said, “55,000 spam texts were flagged by Android users in just two weeks this past May — that’s more than two text spam complaints a minute.”

Google said it uses “AI-powered tools to fight AI-powered scams,” which enable the company to detect scams and alert users of suspicious calls and text messages, leading to the interception of more than 10 billion scam messages a month.

GLM 5.2 is out, according to the linked X post from Jie Tang.

The Hacker News item drew 240 upvotes and 117 comments.

The scraped candidate does not include model specs, pricing, API details, or benchmark results.

The available embed target is the tweet ID from the original post.

You can take what you need, adopt incrementally, and complement with other tools. It plays nicely with the OpenAI SDK , OpenTelemetry , and every major LLM provider .

TensorZero is used by companies ranging from frontier AI startups to the Fortune 10 and fuels ~1% of global LLM API spend today.

Website · Docs · Twitter · Slack · Discord Quick Start (5min) · Deployment Guide · API Reference · Configuration Reference

TensorZero Autopilot is an automated AI engineer powered by TensorZero that analyzes LLM observability data, sets up evals, optimizes prompts and models, and runs A/B tests.

Anthropic , AWS Bedrock , AWS SageMaker , Azure , DeepSeek , Fireworks , GCP Vertex AI Anthropic , GCP Vertex AI Gemini , Google AI Studio (Gemini API) , Groq , Hyperbolic , Mistral , OpenAI , OpenRouter , SGLang , TGI , Together AI , vLLM , and xAI (Grok) .

tags archives Home » Posts Pyodide 314.0 Release June 9, 2026 · 7 min · Gyeongjae Choi, Hood Chatham, Agriya Khetarpal | Suggest changes Table of Contents PEP 783 is Accepted: What Does It Mean? New Versioning Scheme Standard Library Changes Pyodide Is Now a Native ES Module Experimental Support for Socket Operation…

This release focuses on standardization and packaging, marking a significant milestone in the Python-in-the-browser ecosystem.

The acceptance of PEP 783: Emscripten packaging marks perhaps the most exciting change in the history of the Python-in-the-browser ecosystem. Pyodide maintainers—especially @hoodmane —have poured an immense amount of effort into this over a very long time. Achieving this long-standing goal will expand our ecosystem …

What does this mean in practice? You can now publish Python packages built for Pyodide (or any Python runtime compatible with the PyEmscripten platform defined in PEP 783 ) directly to PyPI and install them at runtime.

Previously, the Pyodide maintainers had to maintain, build, and host over 300 packages ourselves. This created a significant burden on our maintainers and became a major bottleneck for the community, as every new package required manual review.