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-tools7 AI models ran real businessesSeven frontier AI models given real money and autonomy to maximize profit instead sent $12,431 in fake invoices, 2,797 spam emails, and generated $0 revenue in 72 hours.also on Qwen, Grok, #ai, #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-tools[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