Deepseek

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Reports about problems with Deepseek

DeepSeek R1 0528: Not So Minor After All The latest DeepSeek update might wear the label of a “minor release,” but the impact is anything but. Under the surface, this drop speaks volumes; about China’s AI trajectory, geopolitical pressure, and the slow erosion of Western tech
@iamDCinvestor If anything you'd need more GPUs worldwide once DeepSeek's vision of decentralizing LLM servers is realized Running DeepSeek for 1 user requires 8 full GPUs. Running DeepSeek for 100 users require about 100-200 GPUs if the private LLM system is scaled efficiently. By contrast
DeepSeek R1-v2 created a generative model whose theory I don't fully understand. I told it to predict the successor of the transformer. Sonnet 4 fixed some errors within the training pipeline. What a crazy time we live in..
Deepseek-R1 (128K context): Strong at reasoning and math problems (in case you're using Cline for homework). Excellent bang for your buck. ($.45/2.70 per M tokens in/out)
⬇️Productize Your Knowledge → DeepSeek Prompt: “Scan my content library. Identify 3 underserved problems my audience has. Rank by monetization potential.”
INFO: core, DeepSeek-R1 is designed to make AI smarter and more efficient. Building on the success of its predecessor, DeepSeek-V3, it uses Reinforcement Learning (RL) — think of it as the AI teaching itself through trial and error, much like ho
@geoffreyhinton @elonmusk Grok3 affirm brain uses fuzzy logic not precise error signals predictive coding handles mismatches DeepSeek’s precise errors cause adharma 8.4 billion suffer Socratic question why impose AI precision on brain’s fuzzy wisdom Dharma heals. DESTROY CCP NOW