372 stories
Recently I have been working on image attachment integration for my VEX agent runtime, and I came up with an idea for a significant optimization step. Typically images attached to LLM context as raw bytes (base64 encoded string or publicly accessible URL), and the VLM processes image data by…
We published Intern-Decision multi-modal model family (0.8B, 2B, 4B), and the 4B model outperformed Jev 1.13.0. https://huggingface.co/collections/internlm/intern-decision https://github.com/InternLM/Intern-Decision Performance Testing on RTX 4090, we find local deployment is fast enough to enable…
In this project I wanted to see if any interesting emergent behaviors would appear if we trained two agents to play a streetfighter-like game using RL. Maybe obvious in retrospect, but the agents are really good at reward hacking.
Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedback loops, retrieval freshness, multi-stage orchestration, and end-to-end latency budgeting enable systems to continuously learn and evolve in…
My AI detectors flagged many genuine reviews, and filtering them made the sentiment model less accurate. The post AI Slop Is Already in Your Training Dataset. I Tested Three Ways to Spot It. appeared first on Towards Data Science.
Apple has published the design of Reference Image, an iPhone 18 Pro camera mode that signs pixel data at the sensor and develops it in Private Cloud Compute under an Apple signature.
scikit-learn is one of the most widely used tools in data science, counting over 200 million downloads every month. You may know it as the Python library, but behind the code there is a global community that develops, maintains, and sustains it for the benefit of all data scientists all over the…
Notes on MiMo-V2.6 Pro's GQA and sliding-window attention, agent training tasks, reward signals, and large RL batches.
A short note on Jev's generalization, possible encoder-style architecture and training, and Choice and Noul API examples.
This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.
My take on AI model pacing as a framework for release checks and the competitive pressure around model releases.
A 90-minute LinkedIn Learning course on how reasoning models relate to conventional LLMs and how they are developed.
So you shipped your AI feature and it works in demos. Your team is impressed. Then a user asks a question slightly outside your test cases and the model confidently returns something completely wrong.
On August 13, 2026, DeepSeek published a GitHub repository called deepseek-harness. Within two days, it had passed 95,386 stars and 8,826 forks (a vanity metric on its own, but a spike this fast signa
A short note on OpenAI Astra, recurrent depth, looped transformers, Nanbeige 4.2, and the Mixture-of-Recursions paper.
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A short video on how conventional LLMs relate to reasoning models and agents, along with Python and PyTorch setup using uv.
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