rtk-ai /rtk
RTK is a CLI proxy written in Rust designed to reduce LLM token consumption by 60-90% for common development commands. It is distributed as a single binary with zero dependencies. Read original
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RTK is a CLI proxy written in Rust designed to reduce LLM token consumption by 60-90% for common development commands. It is distributed as a single binary with zero dependencies. Read original
→ View original sourceoh-my-pi is an AI coding agent designed for the terminal, featuring hash‑anchored edits and an optimized tool harness. It integrates LSP support, Python execution, browser automation, and sub
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I have written tones of lecture notes on machine learning, though most of them focus heavily on mathematical derivations. Recently, I decided to build an interactive, “learning compan
→ View original sourceOpenAI and Anthropic have announced a joint effort to mitigate the financial risks posed by open-weight AI models, which threaten their profitability. The collaboration aims to develop strategies that balance open resear…
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Originally published on Zenn (Japanese). Cross-posted here. When you write enumeration-style lyrics like "A, B, C, D…" or "January, February, March…" in AI music generation, the pronunciation can f
→ View original sourceA Chinese article compiled 52 remarks from Liang Wenfeng’s four-hour investor meeting. I’ve summarised the most important ones below. DeepSeek has one central objective: AGI. This is not the ti
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Meet Gigatoken: A Rust BPE Tokenizer that Encodes Text at 24.53 GB/s on a 144-core AMD EPYC 9565, against 24.8 MB/s for HuggingFace tokenizers and 36.0 MB/s for tiktoken on the same m
→ View original sourceOpenAI inadvertently launched a cyberattack against Hugging Face, an incident that resembles a science-fiction scenario but occurred in reality. The event highlights unexpected risks in AI system interactions and infrast…
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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
→ View original sourceEvery 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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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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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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