I Tried to Trick Pangram. I Lost. - by Brandon Sovrankept by maya • aug 30Brandon Sovran tried multiple methods to make AI-generated text appear human to Pangram detector, but every attempt was still flagged as 100% AI.AboutPangram Labs · Brandon Sovran · Codex · GPT · Grok · QwenFiled#ai#developer-tools#machine-learningRelatedHow did ‘large’ language models get that way? The role of Transformers and Pretraining in GPT - LessWrong 2.0 viewerThe transformer architecture and pretraining enabled enormous scaling of language models, making 'large language models' a fitting description.also on GPT, #machine-learning, #aiTrain Your Own LLM from ScratchA hands-on workshop guides readers through building a ~10M-parameter GPT model from scratch in PyTorch, trainable on a laptop in under an hour.also on GPT, #machine-learning, #developer-tools9 theses on AI | Sarthak MunshiAI progress is constrained by long-task reliability, labor reallocation, cost inefficiencies of general APIs, the declining value of raw coding skills, inadequate benchmark testing, the limits of formal verification without strong specs, memory-bound local hardware advantages, the shift from data to environment-driven training, and the rising competitiveness of US open-weight models.also on Qwen, #machine-learning, #ai, #developer-toolsWhy DoorDash, Instacart, and Uber Eats Integrated LLMs Into Search Three Different WaysDoorDash, Instacart, and Uber Eats each integrated LLMs into food‑search differently, reflecting their existing infrastructure and showing LLM depth ranges from offline enrichment to query parsing to embedding backbone.also on Qwen, #machine-learning, #ai[x-algorithm] How X Decides What 550 Million Users SeeX's open-sourced feed algorithm uses a modular CandidatePipeline with Thunder and Phoenix sources, then scores candidates via a Grok-based transformer predicting 19 engagement signals.also on Grok, #machine-learning, #ai
I Tried to Trick Pangram. I Lost. - by Brandon Sovran