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# Introduction
We all have those tasks that eat up our time without adding real value. These include sorting downloaded files, renaming photos, backing up folders, clearing out clutter, and performing the same little maintenance tasks over and over again. None of these are particularly difficult, but they are repetitive,…
Thinking Machines Lab has moved its Tinker training API into general availability and added 3 major capabilities, support for the Kimi K2 Thinking reasoning model, OpenAI compatible sampling, and image input through Qwen3-VL vision language models. For AI engineers, this turns Tinker into a practical way to fine tune frontier models without building distributed training…
Today, we're expanding the Gemini 3 model family with the release of Gemini 3 Flash, which offers frontier intelligence built for speed at a fraction of the cost. With this release, we’re making Gemini 3’s next-generation intelligence accessible to everyone across Google products. Last month, we kicked off Gemini 3 with Gemini 3 Pro and…
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# Introduction
Standard Python objects store attributes in instance dictionaries. They are not hashable unless you implement hashing manually, and they compare all attributes by default. This default behavior is sensible but not optimized for applications that create many instances or need objects as cache keys.
Data classes address these…
What customers are saying Google Cloud customers are already using Gemini’s native audio capabilities to drive real business results, from mortgage processing to customer calls. “Users often forget they’re talking to AI within a minute of using Sidekick, and in some cases have thanked the bot after a long chat…New Live API AI capabilities offered…
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# Introduction
The rise of cloud computing has significantly expanded the capabilities of machine learning models in terms of scalability and availability, making their accessibility more widespread and democratized than ever before. In this context, the AutoML paradigm has played a key role by enabling users to train, optimize, and…
Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text.
Model lineup and context length
The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and…
Scientists are using AlphaFold in their research to strengthen an enzyme that’s vital to photosynthesis, paving the way for more heat-tolerant crops. As global warming accompanies more droughts and heatwaves, harvests of some staple crops are shrinking. But less visible is what is happening inside these plants, where high heat can break down the molecular…
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# Introduction
Feature engineering is the unsung hero of machine learning, and also its most common villain. While teams obsess over whether to use XGBoost or a neural network, the features feeding those models quietly determine whether the project lives or dies. The uncomfortable truth? Most machine learning projects fail…
TLDR: VISTA is a multi agent framework that improves text to video generation during inference, it plans structured prompts as scenes, runs a pairwise tournament to select the best candidate, uses specialized judges across visual, audio, and context, then rewrites the prompt with a Deep Thinking Prompting Agent, the method shows consistent gains over strong…