Unclecode (Hossein) @unclecode
Author of Crawl4AI (#1 GitHub Trending). Founder of Kidocode, SE Asia's largest tech & biz school. Leading AI research on synthetic data, AI consultant. unclecode.com Singapore Joined September 2009-
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Linux nailed it 😁👏
oh lord, how did i not think of this before? giving claude ast-grep for code searches and refactors has turned it into an unstoppable coding monster
A good read on “AI memory,” which downstream refers to the extra tokens in the context window. Empirically, I’ve noticed that after about 60% of the context window, model intelligence starts dropping (context rot). A proper way to use the context window for long-term and active…
A good read on “AI memory,” which downstream refers to the extra tokens in the context window. Empirically, I’ve noticed that after about 60% of the context window, model intelligence starts dropping (context rot). A proper way to use the context window for long-term and active…
Claude is building an ecosystem, like Apple. Right now, myself as a Max subscribers, I use claude code, Claude Team for my team, Artifacts for my finance and marketing team, and now this Claude for Chrome, plus Claude chat. Very exciting to have Claude sdk on web automation.
Claude is building an ecosystem, like Apple. Right now, myself as a Max subscribers, I use claude code, Claude Team for my team, Artifacts for my finance and marketing team, and now this Claude for Chrome, plus Claude chat. Very exciting to have Claude sdk on web automation.
A reasoning challenge for Google 2.5 flash image (nano-banana) and other major vision models: Draw a blackboard filled with numbers from 1 to 100, neatly written in rows across the board. Circle the numbers 2, 3, 5, and 7. Test results: NONE CANT HANDLE 1/ Nano-banana (Google…
What if hallucination was what gave us consciousness in the first place? We’ve definitely been hallucinating for centuries, even now, and no one was around to suppress it. If this hypothesis holds, then all these attempts to suppress it in LLMs are exactly what we shouldn’t be…
This code in C, counts the frequency of a target byte in a given buffer. However, it can speed up easily 25X, any idea?
It was cheap n fast, now become ridiculously cheap n fast
It was cheap n fast, now become ridiculously cheap n fast
Crawl4AI: clean Markdown (variants + citations) + typed JSON for RAG/agents. Pick speed (CSS/XPath/Regex) or accuracy (LLM schema). Anti-bot ready with Playwright + proxies; scales with browser pools + cache. Our takes in the breakdown series: memo.d.foundation/breakdown/craw…
Crawl4AI: clean Markdown (variants + citations) + typed JSON for RAG/agents. Pick speed (CSS/XPath/Regex) or accuracy (LLM schema). Anti-bot ready with Playwright + proxies; scales with browser pools + cache. Our takes in the breakdown series: memo.d.foundation/breakdown/craw… https://t.co/c2Nb17g04X
FFMPEG now can transcribe! I always wonder what you can NOT do with ffmpeg! Now with Whisper built in, it can transcribe media into SRT, JSON, etc, handle live audio streams chunk-by-chunk, use VAD with a mic to detect voice, and more. medium.com/@vpalmisano/ru…
A handful new feature from CC. Usually when I ask CC to run a server or app, I hv to keep remind it to run in background and use “> 2&1” to not block itself, so I can continue working based on running app. Now pressing ctrl+b move a running process to background and CC can…
A handful new feature from CC. Usually when I ask CC to run a server or app, I hv to keep remind it to run in background and use “> 2&1” to not block itself, so I can continue working based on running app. Now pressing ctrl+b move a running process to background and CC can…
Crawl4ai 0.7.3 is out, many new changes and my favorite one is "Adaptive Crawling".
Crawl4ai 0.7.3 is out, many new changes and my favorite one is "Adaptive Crawling".
Every time my AI coding assistant shows me a piece of truly elegant code, I can’t help but think, somewhere, a human wrote this masterpiece, and the LLM remembered. Hats off to that unknown genius.
All links you need for @OpenAI GPT-OSS: 1/ github.com/openai/gpt-oss proof of open weights ;) 2/ gpt-oss.com Playground 3/ openai.com/open-models/ main page introducing the model 4/ cookbook.openai.com/topic/gpt-oss series of helpful cookbook, like how to run locally 5/…
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