Building AI Agents with Local Small Language Models
The idea of building your own AI agent used to feel like something only big tech companies could pull off.
ParaRNN: Large-Scale Nonlinear RNNs, Trainable in Parallel
Recurrent Neural Networks (RNNs) are naturally suited to efficient inference, requiring far less memory and compute than attention-based architectures, but the sequential nature of their computation has historically made it impractical to scale up RNNs to billions of parameters. A new advancement from Apple researchers makes RNN training dramatically more efficient — enabling large-scale training …
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Amazon Quick for marketing: From scattered data to strategic action
Imagine the following scenario: You’re leading marketing campaigns, creating content, or driving demand generation. Your campaigns are scattered and your insights are buried. By the time you’ve pieced together what’s working, the moment to act has already passed. This isn’t a tools problem because you have plenty of those. It’s a connection problem. Your marketing …
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US Special Forces Soldier Arrested for Polymarket Bets on Maduro Raid
The master sergeant allegedly used classified intel to profit on the capture of Venezuelan president Nicolás Maduro, marking the first US arrest for insider trading on a prediction market.
I optimized Trellis.2 to fit inside 8GB gpus, – even with 1024^2 voxel detail. Made a single-click installer, works like A1111. RTX 3060 completes in 13 minutes. It’s detail is insane
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Train, Serve, and Deploy a Scikit-learn Model with FastAPI
FastAPI has become one of the most popular ways to serve machine learning models because it is lightweight, fast, and easy to use.
Apple Machine Learning Research at ICLR 2026
Apple is advancing AI and ML with fundamental research, much of which is shared through publications and engagement at conferences in order to accelerate progress in this important field and support the broader community. This week, the Fourteenth International Conference on Learning Representations (ICLR) will be held in Rio de Janeiro, Brazil, and Apple is …
Frontend Engineering at Palantir: Engineering Multilingual Collaboration
Frontend Engineering at Palantir: Building Multilingual Collaboration About this SeriesFrontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the …
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Cost-effective multilingual audio transcription at scale with Parakeet-TDT and AWS Batch
Many organizations are archiving large media libraries, analyzing contact center recordings, preparing training data for AI, or processing on-demand video for subtitles. When data volumes grow significantly, managed automatic speech recognition (ASR) service costs can quickly become the primary constraint on scalability. To address this cost-scalability challenge, we use the NVIDIA Parakeet-TDT-0.6B-v3 model, deployed through …
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Day 1 at Google Cloud Next ‘26 recap
Last year at Google Cloud Next ‘25, we asked you to imagine a new future for AI. At Next ‘26, the question before you is how do you move AI into production across your entire enterprise? According to Google Cloud CEO Thomas Kurian, the answer is straightforward: You need a unified stack, with “chips that …