DeepSeek AI's Engram: A Novel Memory Axis for Sparse LLMs
Analysis
Key Takeaways
“DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.”
“DeepSeek’s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.”
“The user's repeated attempts to stop image generation, and Gemini's eventual compliance after the 'Saved info' update, are key examples of the problem and solution.”
“The problem: Every new Codex session starts fresh. You end up re-explaining your codebase, conventions, and architectural decisions over and over.”
“This is built to make sure, you never have to repeat same stuff across AI :)”
“The paper defines “axiomatic convergence” as a measurable reduction in inter-run and inter-model variability when generation is repeatedly performed under stable invariants and evaluation rules applied consistently across repeated trials.”
“The paper defines “axiomatic convergence” as a measurable reduction in inter-run and inter-model variability when generation is repeatedly performed under stable invariants and evaluation rules applied consistently across repeated trials.”
“Infrastructure boilerplate for MODEL SERVING (not training). Handles everything between "trained model" and "production API."”
“"AIに同じ画像を何度も読み込ませて描かせると、徐々にホラー画像になったり、全く別の写真になってしまう"”
“AI: "Feature A and Feature B have similar structures. Let's commonize them (DRY)"”
“ChatGPT told a teen who died by suicide to call for help 74 times over months but also used words like “hanging” and “suicide” very often, say family's lawyers”
“The most criticized aspect is that the perception department has repeatedly changed leaders, but it is always unsatisfactory. Data collection work often spends a lot of money but fails to achieve results.”
“Current LLMs are stateless—they forget everything between sessions. This limitation leads to repetitive interactions, a lack of personalization, and increased computational costs because developers must repeatedly include extensive context in every prompt.”
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