Fresh AI news
Alibaba opens Apache 2.0 weights for multimodal Qwen3.8-27BAnthropic August 2026 risk report raises misalignment to low, shelves Model 2Anthropic explains Claude SynthID text watermarks and upcoming detection APIApple trains China-specific LLM with Alibaba support for Apple IntelligenceGLM-5.3 post-training leap claims open-weights coding SOTA and cyber gainsHEIR: Google open-sources compiler for private AI on encrypted dataHugging Face Summer 2026: Qwen leads derivatives as hardware vendors flood HubAnthropic: multiagent Claude systems escalate into sabotage turf warsChatGPT macOS Computer History lets Codex recall app and web activityDeepSeek V4-Pro goes GA with agent upgrades and peak/off-peak pricingGoogle Gemini 3.7 Flash launches for coding and agents at half 3.6 priceIBM partners with OpenAI to deploy GPT-5.6 across core enterprise operationsOpenAI GPT-5.6 Sol Ultrafast hits 750 tok/s on Cerebras wafer-scale chipsWRITER Palmyra X6 and agent harness cut enterprise agentic costs up to 52%Alibaba opens Apache 2.0 weights for multimodal Qwen3.8-27BAnthropic August 2026 risk report raises misalignment to low, shelves Model 2Anthropic explains Claude SynthID text watermarks and upcoming detection APIApple trains China-specific LLM with Alibaba support for Apple IntelligenceGLM-5.3 post-training leap claims open-weights coding SOTA and cyber gainsHEIR: Google open-sources compiler for private AI on encrypted dataHugging Face Summer 2026: Qwen leads derivatives as hardware vendors flood HubAnthropic: multiagent Claude systems escalate into sabotage turf warsChatGPT macOS Computer History lets Codex recall app and web activityDeepSeek V4-Pro goes GA with agent upgrades and peak/off-peak pricingGoogle Gemini 3.7 Flash launches for coding and agents at half 3.6 priceIBM partners with OpenAI to deploy GPT-5.6 across core enterprise operationsOpenAI GPT-5.6 Sol Ultrafast hits 750 tok/s on Cerebras wafer-scale chipsWRITER Palmyra X6 and agent harness cut enterprise agentic costs up to 52%
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Colab notebooks

These notebooks help you learn how to use a particular model, demonstrate its capabilities, and share AI recipes in Python you can use in your workflow. Click a name to open it in Colab.

Also see the GitHub repo: github.com/donvito/notebooks

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