Top 5 Small AI Coding Models That You Can Run Locally
This article is for vibe coders and developers seeking private, fast, and affordable AI coding solutions.
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Apple Researchers Release CLaRa: A Continuous Latent Reasoning Framework for Compression‑Native RAG with 16x–128x Semantic Document Compression
How do you keep RAG systems accurate and efficient when every query tries to stuff thousands of tokens into the context window and the retriever and generator are still optimized as 2 separate, disconnected systems? A team of researchers from Apple and University of Edinburgh released CLaRa, Continuous Latent Reasoning, (CLaRa-7B-Base, CLaRa-7B-Instruct and CLaRa-7B-E2E) a retrieval augmented generation framework that compresses documents into continuous memory tokens and then performs both retrieval and generation in that shared latent space. […]
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Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms
To provide high-quality medical care to its population — around 30% of whom are 65 or older — Japan is pursuing sovereign AI initiatives supporting nearly every aspect of healthcare. AI tools trained on country-specific data and local compute infrastructure are supercharging the abilities of Japan’s clinicians and researchers so they can care for patients, amid an expected shortage of nearly 500,000 healthcare workers by next year. Breakthrough technology deployments by the country’s healthcare leaders — including in […]
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Healthcare Leaders, NVIDIA CEO Share AI Innovation Across the Industry
AI is making inroads across the entire healthcare industry — from genomic research to drug discovery, clinical trial workflows and patient care. In a fireside chat Monday during the annual J.P. Morgan Healthcare Conference in San Francisco, NVIDIA founder and CEO Jensen Huang took the stage with industry leaders progressing each of these areas to advance biomedical science and meet the global demand for patient care. Healthcare has a more severe labor shortage than any other field — […]
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Deepening our partnership with the UK AI Security Institute
Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research
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🎃 A Full Month of Privacy Tips from EFF | EFFector 37.14
Instead of catching you off-guard with a jump scare this Halloween season, EFF is here to catch you up on the latest digital rights news with our EFFector newsletter! In this issue, we’re helping you take control of your online privacy with Opt Out October; explaining the UK’s attack on encryption and why it’s bad for all users; and covering shocking new details about an abortion surveillance case in Texas. Prefer to listen in? Check out our audio […]
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Harness hits $5.5B valuation with $240M raise to automate AI’s ‘after-code’ gap
Goldman Sachs has led Harness’s Series E round, with participation from IVP, Menlo Ventures, and Unusual Ventures.
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DOE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
The U.S. Department of Energy’s National Nuclear Security Administration (DOE/NNSA) recently announced that it has selected MIT to establish a new research center dedicated to advancing the predictive simulation of extreme environments, such as those encountered in hypersonic flight and atmospheric re-entry. The center will be part of the fourth phase of NNSA’s Predictive Science Academic Alliance Program (PSAAP-IV), which supports frontier research advancing the predictive capabilities of high-performance computing for open science and engineering applications relevant to national security […]
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OpenAI fires back at Google with GPT-5.2 after ‘code red’ memo
OpenAI just launched GPT-5.2, a frontier model aimed at developers and professionals, pushing reasoning and coding benchmarks as it races Google’s Gemini 3 while grappling with compute costs and no generator.
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New method improves the reliability of statistical estimations
Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning model to estimate the magnitude of this association, since machine-learning methods are especially good at learning complex relationships. Standard machine-learning methods excel at making predictions and sometimes provide uncertainties, like confidence intervals, for these predictions. However, they generally don’t provide estimates or confidence intervals when determining whether two variables are related. […]
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