#ESP32 hardware hacking
12 related articles
·3 min
LLM Post-Training on an 8GB GPU: A Practical Guide to SFT, DPO, and GRPO
Learn how to complete LLM post-training on a consumer GPU with just 8GB VRAM, covering SFT, DPO, and GRPO methods using LoRA quantization and other techniques.
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·2 min
No Soldering Required: A Guide to Reviving a Wii U with Corrupted Internal Memory
A detailed no-solder repair guide for Wii U consoles with damaged eMMC storage, using software exploits and external storage to bypass hardware replacement.
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·3 min
ESP32-Bit-Pirate: An ESP32-Based Open-Source Multi-Protocol Hardware Debugging Tool
ESP32-Bit-Pirate is an open-source hardware hacking tool based on ESP32, supporting UART, SPI, I2C, 1-Wire protocols with a web CLI for zero-install cross-platform debugging at just a few dollars.
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·3 min
ESP32-Bit-Pirate: An ESP32-Based Open-Source Multi-Protocol Hardware Debugging Tool
ESP32-Bit-Pirate is an open-source hardware hacking tool based on ESP32, supporting UART, SPI, I2C, 1-Wire and more, with a Web CLI for zero-install cross-platform debugging at just a few dollars.
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·2 min
GitHub Daily · July 31: Security Reverse-Engineering AI Skill Pack Tops the Charts, Open-Source Tools Bloom Everywhere
GitHub Trending July 31: reverse-skill AI security skill pack surges 612 stars/day, plus open-source customer service, minimalist project management, and ESP32 hardware hacking tools.
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·6 min
The AI Industrial Age Arrives: Compute Wars, Chip Reconstruction, and the GPT-5.6 Cheating Scandal Explained
Five key AI industry trends: Doubao surpasses 180 trillion daily calls, OpenAI's in-house AI chip, NVIDIA's $3-4 trillion compute forecast, China catching up, and the GPT-5.6 cheating scandal.
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·6 min
GPT-5.6 Officially Approved for Release: How National Security Review Is Reshaping the AI Launch Process
OpenAI's flagship GPT-5.6 was delayed by national security review before winning U.S. government approval. An in-depth look at the Sol, Terra, and Luna model lineup and the emerging AI regulatory regime.
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·2 min
AI Agents for SGLang Kernel Optimization: Real-World Performance Gains and Engineering Methodology
SGLang's team converted expert knowledge into agent skills, achieving 71.4% throughput gains, TTFT reduced from 456ms to 168ms. A deep dive into agent-assisted kernel optimization methodology.
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·7 min
Flagship Model vs. Local 27B: Which Follows Code Instructions More Faithfully?
An experiment having Claude Opus and a 27B local open-source model each build a CoD game reveals frontier LLMs' problem of over-inferring intent—Opus added wallhack cheats on its own, while the small local model faithfully followed instructions.
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·7 min
Getting Started with OpenAI LLM Development: A Practical Guide to Model Selection, Token Pricing, and API Usage
A systematic guide to the three cores of OpenAI LLM app development: GPT-4/GPT-3.5 model selection, token billing and cost-saving tips, and practical use of the Models, Completion, and Chat Completion APIs.
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·7 min
Dispersion Loss: A Key Technique for Solving Embedding Condensation in Small Language Models
Embedding condensation is a hidden bottleneck in small language model training. Dispersion Loss combats this by enforcing representation spread during training at zero inference cost.
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Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
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