Techyon

Pick a Self-Hosted Coding Model in 2026: Qwen3-Coder vs GLM vs Kimi vs DeepSeek

Originally published on AI Tech Connect. What you need to know Two years ago, running your own coding model was a compromise you made for privacy and then quietly regretted every time the completions

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Model "distillation" accusations are getting way overblown at this point

Every time a strong open model drops, the same cycle plays out: ai bro's claims it's "just distilled from GPT4/Claude/whatever," case closed, move on. I think this take doesn't hold up as

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Is Your AI Agent Eval Set Actually Testing Anything?

Developers often struggle with insufficient evaluation sets that rely on a few successful demo examples, leading to production failures that remain undetected. Patching prompts based on these limited sets fails to addres…

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I hand-wrote facts directly into Llama-3.1-8B's weights — no fine-tuning, no LoRA, no RAG. Also built, a cool visualizer here's a live map of where each fact physically lives.

The author inserted factual knowledge directly into the weights of Llama‑3.1‑8B by manually setting specific neuron weights in an appended MLP region, avoiding any fine‑tuning, LoRA, or RAG, and created a visualizer that…

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Terrence Tao's ChatGPT Conversation about the Jacobian Conjecture Counterexample

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Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model

Large language models can answer scientific questions, yet a correct output does not reveal whether the model represents or uses the governing physics. Here we show that materials science mechanism in

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DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations

DocOps provides a deterministically verifiable benchmark to evaluate autonomous agents' ability to manipulate digital documents. It introduces a hierarchical taxonomy that breaks down document operations into atomic dime…

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Train the Model, Not the Reader: Decodability Supervision for Verifiable Activation Explanations

The paper introduces Decodability Supervision, a method using natural-language autoencoders to evaluate activation explanations by reconstruction fidelity. However, it reveals the test is structurally insensitive to fals…

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SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD

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Accidentally quadratic: buffer copies made MCTS in DeepMind's mctx 3× slower

I'm training an AlphaZero-style agent (Gumbel MuZero via DeepMind's mctx ) to lay out working factory modules for Factorio: the network places machines, belts and inserters on a grid, and the rewa

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GigaToken: ~1000x faster Language model tokenization

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3,670 Files, Zero Data Leaks: How I Built an AI-Powered File Organizer That Never Shows Claude My…

The user wants a concise HTML summary of the provided news article. The article is about building an AI-powered file organizer with privacy-first architecture, handling 3,670 files with zero data leaks, splitting state, …

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