[VIDEO] 100✊✊ degree☝✊〰 with #지석진# 🔗 🔗 #인피니트# #INFINITE# #Dangerous# #Dangerous_challenge# #JeeSeokJin# #이성열# #LeeSungYeol# #장동우# #JangDongWoo# #이성종# #LeeSeongJong#

[VIDEO] 🐿🦌🐰💖 (EASY VER.) 🔗 🔗 #인피니트# #INFINITE# #장동우# #JangDongWoo# #이성열# #LeeSungYeol# #이성종# #LeeSeongJong# #Dangerous# #Dangerous_challenge# #Dangerous_EASY# #LIKE_INFINITE#

[VIDEO] 𝙄𝙩'𝙨 𝙨𝙤 𝙝𝙤𝙩 𝙖𝙣𝙙 𝙙𝙖𝙣𝙜𝙚𝙧𝙤𝙪𝙨🫢❤‍🔥 🔗 🔗 #인피니트# #INFINITE# #Dangerous# #Dangerous_challenge#

[VIDEO] 🐱🐶🐰💗 (EASY VER.) 🔗 🔗 #인피니트# #INFINITE# #엘# #L# #김명수# #KimMyungSoo# #남우현# #NamWooHyun# #이성종# #LeeSeongJong# #Dangerous# #Dangerous_challenge# #Dangerous_EASY# #LIKE_INFINITE#

The most dangerous moment is right after you win. You did it. You made the money. You quit your job. You built the physique. You got the girl. Now what? Most people let themselves decline into misery because their driving force has now vanished. You need another mountain to climb. You need to understand that it is a gift, not a curse, to always be in the pursuit of your potential - the constant balance of challenge and skill is what makes life meaningful. There is no final top of the mountain.

The complete roadmap for becoming dangerous at LLM engineering from zero to production : Watching tutorials won’t make you an LLM engineer. Building these projects will: - Train a small working model - Master embeddings from scratch - Create your own tokenizer - Code RoPE and ALiBi yourself - Write attention by hand - Construct multi-head attention - Assemble a complete Transformer block - Test different training objectives - Implement generation strategies - Add speculative decoding - Build efficient KV caching - Explore MQA, GQA, and MLA - Solve long-context challenges - Understand FlashAttention deeply - Calculate real hardware limits - Build a simple Mixture-of-Experts - Study sparse vs dense trade-offs - Experiment with state-space models - Try diffusion-based language models - Design solid data pipelines - Generate and use synthetic data - Verify scaling laws yourself - Go through SFT to DPO to RLHF to GRPO - Apply proper quantization - Set up serving infrastructure - Build reliable evaluation systems - Create RAG pipelines - Add tool use and agent loops - Connect vision adapters - Practice interpretability techniques - Run serious red-teaming - Ship one complete end-to-end system Finish even half of these and you’ll be ahead of 95% of people talking about LLMs.

"When the tide goes out, you see who's wearing the swim trunks." Allocate CEO @samirkaji says AI private market valuations are due for a pullback as early as next year. "One of the most dangerous things to say in the investing world is 'This time's different.' Rarely is it completely different..." "The challenge is when you have a new technology of this size and scale — especially moving this fast — the supply and demand for those companies change." "Things do not go right when you plug so much capital with such speed." "I don't know when gravity comes back in the private markets... But I would be willing to bet that within the next few years, we're going to see some kind of pullback."

Every month for eleven months, we tested every major bot detection vendor against a continuously growing set of real attacks and measured each one's true detection rate. The attacks came from two sources, miners who competed in RedTeam's humanize_behaviour challenges to generate human-like bot behaviour, and attacks built in-house by our team. Over this period, the average detection rate among these vendors decayed from 59% to 14.6%. Even the market leaders dropped by over 50%. Meanwhile, our detection rate jumped from 74.3% to 99.5%. The attacks these vendors failed against in testing are the same ones we find sitting in live traffic when clients switch to us from these providers. Our miners aggregate methods used by the most dangerous fraud operations on the internet and continuously sharpen them with techniques of their own. The reason we can compound against these frontier attacks while other vendors degrade is that every attack is instantly reverse-engineered and folded back into the system. Next month, we release the immune system alongside our new bot virus challenge. It's exactly what the name suggests, an evolving system that keeps improving while the market around it degrades, and one built to generate and neutralise attacks that don't yet exist anywhere in the wild. We believe that as AI continues to advance, this is the only defense structure that survives. Stay tuned.