博客

记录软件、设计与正在学习的事。

RSS 订阅

30 篇文章

AIJev

老框架,新部件:用 Jev 让概率模型自己建、自己更新

用大量是否命题建一个领域模型,用 Jev 估计概率,把现实中发生的事件作为证据输入,实时更新对未来的预测。这类模型已有四十多年的成熟框架,没有普及是因为建模和维护太贵。Jev 能把其中两个最贵的环节自动化:估计概率,以及把文字消息转成证据。

AIJev

Old frameworks, a new part: letting probability models build and update themselves with Jev

Build a domain model from many yes/no propositions, have Jev estimate the probabilities, feed real-world events in as evidence, and update forecasts in real time. Mature frameworks for this have existed for more than forty years; they never spread because building and maintaining models was too expensive. Jev can automate the two most expensive steps, estimating probabilities and turning written messages into evidence.

AIJev

Jev 能用来做什么:从概率门到可计算的信念模型

总结前两篇的理论和实验,提出一种分工:Jev 只估计最基础的概率,组合与推断全部交给数学,准确度靠真实数据校准。按这种分工,可以把大模型的知识整理成一个彼此自洽、可以编辑和推演的概率模型。文章讨论它和直接问大模型的区别,以及几类应用方向。

AIJev

What Jev can be used for: from probability gates to computable belief models

This post brings together the theory and experiments of the previous two and proposes a division of labour. Jev estimates only the most basic probabilities, math does all combination and inference, and real data calibrates accuracy. With this split, a language model's knowledge can be turned into a probability model that is self-consistent, editable and explorable. It discusses how this differs from asking a language model directly, and several application areas.

AIJev

概率门实验:Jev 的概率能直接用吗

用真实的 Jev 做了三组实验:它给出的概率是否自洽,能不能当条件概率的来源,分步组合是否比直接问更准。结论是排序很准、数值偏向中间,少量真实数据就能校准;组合本身不提高精度,同向偏差会原样传下去。

AIJev

Probability gate experiments: can Jev's probabilities be used as they are?

Three experiments with the real Jev test whether its probabilities are self-consistent, whether it can serve as a source of conditional probabilities, and whether composing an answer in steps beats asking directly. It ranks well but pulls values toward the middle, and a small amount of real data is enough to calibrate it; composition by itself does not improve accuracy, and bias in a shared direction passes straight through.

AIJev

概率门:从比特到概率的电路

逻辑门把电压翻译成 0 和 1,Jev 把用语言描述的世界翻译成概率。本文把 Jev 看作一种「概率门」,参考随机计算、贝叶斯网络和概率比特的已有工作,讨论可以用它组合出哪些元件,以及怎样用这些元件搭一个世界模拟器。

AIJev

Probability gates: from bits to probabilities

Logic gates turn voltages into 0 and 1; Jev turns a description written in language into probabilities. This post treats Jev as a "probability gate", draws on prior work in stochastic computing, Bayesian networks and probabilistic bits, and looks at which components can be built from it and how they could form a world simulator.

AIAgents

Where the next coding agent should begin

A checkout retry example shows why a useful project handoff preserves verified behavior, unresolved questions, and the decisions that still apply.

Engineering

DAG 图的可视化

从 Sugiyama 布局出发,探索复杂任务依赖图的分层、排序与连线方式。

EngineeringWeb

用 Hexo + Github 搭建个人网站

从环境准备、GitHub Pages 部署到图片与数学公式处理,记录 Hexo 建站过程中的问题。

Journal

Hello Dozybot

建立个人博客的起点:把零散记录整理成文章,记录学习与生活。

Journal

Hello World

The original Hexo starter post, with commands for writing, previewing and deploying a blog.