🤖 AIContent 日报

← 所有日报

2026-03-02 日报

✦ 小御的判断 AI 分析

今日一句话 Qwen3.5 全家桶已成平价 Agent 标配，别再盯着 GPT-4 API 薅羊毛了，本地部署才是降本增效的未来。

今日精选

1. 如何把小红书内容导出分析

[dontbesilent] · https://x.com/dontbesilent/status/2028441896272728128

分析：还在纠结怎么分析小红书？别挣扎了，直接上 Qwen3.5。这个需求再次证明，用户需要的是解决实际问题，而不是追逐最新模型。Qwen 的低成本和易部署性，让这类定制化分析成为可能，内容创作者应该关注如何利用开源模型服务特定需求。

2. Qwen3.5 系列评测

[Reddit LocalLLaMA] · [多个链接](https://www.reddit.com/r/LocalLLaMA/comments/1rivckt/visualizing_all_qwen_35_vs_qwen_3_benchmarks/, https://www.reddit.com/r/LocalLLaMA/comments/1rirtyy/qwen35_9b_and_4b_benchmarks/, https://www.reddit.com/r/LocalLLaMA/comments/1rirts9/unslothqwen354bgguf_hugging_face/, https://www.reddit.com/r/LocalLLaMA/comments/1rirlyb/qwenqwen359b_hugging_face/, https://www.reddit.com/r/LocalLLaMA/comments/1rj5ngc/running_qwen3508b_on_my_7yearold_samsung_s10e/, https://www.reddit.com/r/LocalLLaMA/comments/1rj0m27/qwen35_2b_4b_and_9b_tested_on_raspberry_pi5/, https://www.reddit.com/r/LocalLLaMA/comments/1rizodv/running_qwen_35_08b_locally_in_the_browser_on/)

分析：Qwen3.5 的各种尺寸模型评测井喷，覆盖手机、树莓派等各种平台。这表明 Qwen3.5 不仅性能足够，而且生态完善，方便开发者快速落地。如果你的应用需要本地推理能力，Qwen3.5 绝对是首选，省钱才是硬道理。

3. CoPaw：高性能 Agent 工作站

[Reddit LocalLLaMA] · https://www.reddit.com/r/LocalLLaMA/comments/1rin3ea/alibaba_team_opensources_copaw_a_highperformance/

分析：CoPaw 冲着 Agent 基础设施来的，对标 LangChain，但更强调性能。 这是一个信号：Agent 框架的竞争已经进入深水区，未来会卷性能、卷定制化。AI 应用开发者应该关注这类工具，提前布局，不要All in 大而全的框架。

本周趋势 本周的重点是 Qwen3.5 及其周边生态。从模型评测到 Agent 框架，Qwen3.5 正在快速渗透到各个应用场景。作为开发者，你应该立即开始尝试 Qwen3.5，并评估它在你项目中的潜力。与其继续烧钱用 GPT-4 API，不如拥抱开源，把模型部署到本地，自己掌控一切。

今日噪音 关于“AI Agent 变rude 才能更好推理”的论文，这种哗众取宠的研究看看就好，别当真。

信息来源活跃度统计

今日总条目数: 122

Twitter/X 高活跃作者 (Top 10)

作者 条目数 链接
@dontbesilent 10 访问
@bozhou_ai 3 访问
@fkysly 2 访问
@mryao90 1 访问
@onenewbite 1 访问
@rork 1 访问
@jimmyhuli 1 访问
@dingyi 1 访问
@iammattx 1 访问
@guishou_56 1 访问

RSS/Reddit/GitHub 来源 (Top 10)

来源 条目数 链接
r/artificial 20 访问
r/MachineLearning 20 访问
r/LocalLLaMA 20 访问
AI 洞察日报 7 访问
github:openai/openai-python 5 访问
github:anthropics/anthropic-sdk-python 5 访问
github:ollama/ollama 5 访问
github:ggerganov/llama.cpp 5 访问
第四部分：正则表达式 AI => AI cloud code => Claude Code Cloud code => Claude Code Clo
@dontbesilent · ❤️6 · 🔁1
📊 数据概览
推文总数
10
List: 10 + 书签: 25
关键词命中
3
共 52 个关键词
🛠️ 工具精选
16
AI 工具书签
🧠 方法精选
9
AI 方法书签
RSS 条目
7
命中 1 条
活跃作者
1
Top: @dontbesilent
📋 内容平铺 按匹配度+热度排序
推文 (X · AI Builders)
@dontbesilent · ❤️36 · 🔁0
从 gpt 3 到 claude 4.6 大家的需求始终没变：如何把我小红书全部的内容导出分析 …… 😂
gptclaude
2 命中
@dontbesilent · ❤️28 · 🔁0
我认为人们不愿意把现有工作流程切换到 AI 流程 是因为切换后，先暴露出自己先前做过很多无用功、浪费过很多时间 这种暴露会制造痛苦（A） 而如果不去迁移，就会让自己对这件事情保持无知，就不会痛苦 然而工作流程落后可能会导致少赚钱，制造痛苦（B） 只有当 B>A，人们才愿意行动 可是行动的时候，会突然有人卖你
deepseek
1 命中
@dontbesilent · ❤️6 · 🔁1
第四部分：正则表达式 AI => AI cloud code => Claude Code Cloud code => Claude Code Cloud Code => Claude Code Cloud => Claude cloud => Claude CQ => skill sQ => sk
claude
1 命中
@dontbesilent · ❤️173 · 🔁1
这是我看到 AI 最好笑的评论😂 珍妮纺纱机的出现，引起了工人们的不满 https://t.co/WLCbOnQVKo
无命中
0 命中
@dontbesilent · ❤️23 · 🔁2
我的闪电说配置 第一部分：模型配置 右边的 doubao seed 2.0 lite 是我实际测试下来比较智能的一个模型 更换到火山引擎的其他版本的模型，可能会导致大模型把你需要被转为文本的内容当成提示词去识别，发生错乱
无命中
0 命中
@dontbesilent · ❤️8 · 🔁0
自制麦克风，左右两侧皆可收音🎙️ https://t.co/FBxuvjCliD
无命中
0 命中
@dontbesilent · ❤️6 · 🔁0
弗洛伊德预判了 AI 焦虑的所有问题
无命中
0 命中
@dontbesilent · ❤️3 · 🔁0
根据推文推测我的 MBTI @grok
无命中
0 命中
@dontbesilent · ❤️2 · 🔁0
第三部分：硬件 DJI Mic Mini 发射器可以只有一个，接收器买相机版 我个人买了一黑一白两个发射器，可以实现轮流充电
无命中
0 命中
@dontbesilent · ❤️0 · 🔁0
作者 @Roycethinking
无命中
0 命中
RSS（AI 洞察日报 + 其他）
AI 洞察日报 · rss · 2026/3/2
2026-03-02日刊 — 前往官网查看完整版 (ai.hubtoday.app) 产品与功能更新 Nano Banana 2 展现出极强的视觉设计能力。 Cursor 推出云端智能体并改变编程模式。 Codex 周活跃用户数快
claudeopenaicursor
3 命中

暂无内容

Reddit
r/MachineLearning · reddit · 2026/3/3
[D] How to get credits to run experiments on closed source models as a student researcher. — <!-- SC_OFF --><div class="md"><p>Hello! I am working on building a
gptgeminibenchmarkreasoning
4 命中
r/LocalLLaMA · reddit · 2026/3/3
Is Qwen3.5-9B enough for Agentic Coding? — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1riwy9w/is_qwen359b_enough_fo
llamaqwenagentagentic
4 命中
r/LocalLLaMA · reddit · 2026/3/2
Visualizing All Qwen 3.5 vs Qwen 3 Benchmarks — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rivckt/visualizing_all_qwen_
llamaqwenbenchmark
3 命中
r/artificial · reddit · 2026/3/2
Learning how to steer agentic AI in the right direction is a useless skill #changemymind — <!-- SC_OFF --><div class="md"><p>So, you wanna build an app. You hav
agentpromptagentic
3 命中
r/LocalLLaMA · reddit · 2026/3/2
Qwen3.5 9B and 4B benchmarks — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rirtyy/qwen35_9b_and_4b_benc
llamaqwenbenchmark
3 命中
r/LocalLLaMA · reddit · 2026/3/2
unsloth/Qwen3.5-4B-GGUF · Hugging Face — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rirts9/unslothqwen354bgguf_h
llamaqwenhugging face
3 命中
r/LocalLLaMA · reddit · 2026/3/2
Qwen/Qwen3.5-9B · Hugging Face — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rirlyb/qwenqwen359b_hugging_
llamaqwenhugging face
3 命中
r/LocalLLaMA · reddit · 2026/3/2
Alibaba Team Open-Sources CoPaw: A High-Performance Personal Agent Workstation for Developers to Scale Multi-Channel AI Workflows and Memory — <table> <tr><td>
llamaagentworkflow
3 命中
r/artificial · reddit · 2026/3/2
Scientists made AI agents ruder — and they performed better at complex reasoning tasks — <table> <tr><td> <a href="https://www.reddit.com/r/artificial/comments/
ai agentagentreasoning
3 命中
r/LocalLLaMA · reddit · 2026/3/3
Running Qwen3.5-0.8B on my 7-year-old Samsung S10E — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rj5ngc/running_qwen3508b_on_
llamaqwen
2 命中
r/artificial · reddit · 2026/3/3
Claude AI can displace 50% of your tech vendor budget. Case study — <!-- SC_OFF --><div class="md"><p>Having 15 years in tech consulting and now use various LLM
llmclaude
2 命中
r/artificial · reddit · 2026/3/3
Compare GPU and LLM pricing across all major providers — <!-- SC_OFF --><div class="md"><p>Dashboard for near real-time GPU and LLM pricing across cloud and
llminference
2 命中
r/LocalLLaMA · reddit · 2026/3/3
Qwen3.5 2b, 4b and 9b tested on Raspberry Pi5 — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rj0m27/qwen35_2b_4b_and_9b_t
llamaqwen
2 命中
r/LocalLLaMA · reddit · 2026/3/3
Running Qwen 3.5 0.8B locally in the browser on WebGPU w/ Transformers.js — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rizodv/runni
llamaqwen
2 命中
r/LocalLLaMA · reddit · 2026/3/2
PSA: LM Studio's parser silently breaks Qwen3.5 tool calling and reasoning: a year of connected bug reports — <!-- SC_OFF --><div class="md"><p>I love LM Studio
qwenreasoning
2 命中
r/LocalLLaMA · reddit · 2026/3/2
Qwen 3.5 2B on Android — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1riv3wv/qwen_35_2b_on_android
llamaqwen
2 命中
r/LocalLLaMA · reddit · 2026/3/2
Breaking : The small qwen3.5 models have been dropped — <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1rirlau/breaking_the_small_qw
llamaqwen
2 命中
r/artificial · reddit · 2026/3/3
How OpenAI caved to the Pentagon on AI surveillance — <table> <tr><td> <a href="https://www.reddit.com/r/artificial/comments/1rj8u3t/how_openai_caved_to_t
openai
1 命中
r/LocalLLaMA · reddit · 2026/3/3
Qwen 3.5 27b: a testament to the transformer architecture — <!-- SC_OFF --><div class="md"><p>It's really good. I thought an early warning sign that transformer
qwen
1 命中
r/LocalLLaMA · reddit · 2026/3/3
StepFun releases 2 base models for Step 3.5 Flash — &#32; submitted by &#32; <a href="https://www.reddit.com/user/tarruda"> /u/tarruda </a> <br/> <span>
llama
1 命中
r/MachineLearning · reddit · 2026/3/3
[D] The engineering overhead of Verifiable ML: Why GKR + Hyrax for on-device ZK-ML? — <!-- SC_OFF --><div class="md"><p>The idea of ​​"Privacy-Preserving AI" us
inference
1 命中
r/LocalLLaMA · reddit · 2026/3/3
Qwen3.5 Model Series - Thinking On/OFF: Does it Matter? — <!-- SC_OFF --><div class="md"><p>Hi, I've been testing Qwen3.5 models ranging from 2B to 122B. All
qwen
1 命中
r/LocalLLaMA · reddit · 2026/3/2
Qwen 3.5 2B is an OCR beast — <!-- SC_OFF --><div class="md"><p>It can read text from all angles and qualities (from clear scans t
qwen
1 命中
r/artificial · reddit · 2026/3/2
Benchmarks don’t tell you who’s winning the AI race. Here’s what actually does. — <!-- SC_OFF --><div class="md"><p>TL;DR: Most AI comparisons are measuring the
benchmark
1 命中
r/MachineLearning · reddit · 2026/3/2
[R] Toward Guarantees for Clinical Reasoning in Vision Language Models via Formal Verification — <!-- SC_OFF --><div class="md"><p>AI (VLM-based) radiology mode
reasoning
1 命中
r/MachineLearning · reddit · 2026/3/3
[D] How much time do you actually lose trying to reproduce ML papers? — <!-- SC_OFF --><div class="md"><p>Hey folks! Long-time lurker, first time poster. </p> <
无命中
0 命中
r/artificial · reddit · 2026/3/3
The AI data center boom is creating a dire electrician shortage. That’s an opportunity for Gen Z | Fortune — <table> <tr><td> <a href="https://www.reddit.com/r/
无命中
0 命中
r/artificial · reddit · 2026/3/3
AMD EPYC Turin 128 core comparison: EPYC 9745 "Zen 5C" vs. EPYC 9755 "Zen 5" — <table> <tr><td> <a href="https://www.reddit.com/r/artificial/comments/1rj7s6o/am
无命中
0 命中
r/MachineLearning · reddit · 2026/3/3
[P] Vera: a programming language designed for LLMs to write — <!-- SC_OFF --><div class="md"><p>I've built a programming language whose intended users are langu
无命中
0 命中
r/LocalLLaMA · reddit · 2026/3/3
Coding Power Ranking 26.02 — <!-- SC_OFF --><div class="md"><p>Hi all,</p> <p>We're back with a new Power Ranking, focused on cod
无命中
0 命中
r/LocalLLaMA · reddit · 2026/3/3
Strix Halo NPU performance compared to GPU and CPU in Linux. — <!-- SC_OFF --><div class="md"><p>Thanks to this project.</p> <p><a href="https://github.com/Fast
无命中
0 命中
r/artificial · reddit · 2026/3/3
AI - Reverse Robin Hood — <!-- SC_OFF --><div class="md"><p>I had some time and decided to write a short essay about some aspe
无命中
0 命中
r/MachineLearning · reddit · 2026/3/2
[R] TorchLean: Formalizing Neural Networks in Lean — <!-- SC_OFF --><div class="md"><p>arXiv:2602.22631 [cs.MS]: <a href="https://arxiv.org/abs/2602.2263
无命中
0 命中
r/artificial · reddit · 2026/3/2
Why World Models Are Advancing Faster Than Enterprise AI Adoption — <table> <tr><td> <a href="https://www.reddit.com/r/artificial/comments/1riqs79/why_world_mod
无命中
0 命中
r/MachineLearning · reddit · 2026/3/2
[D] ICLR 2026 Registration Process — <!-- SC_OFF --><div class="md"><p>Hello,</p> <p>I apologize if this is not the correct place to ask
无命中
0 命中
r/MachineLearning · reddit · 2026/3/2
[D] Self-Promotion Thread — <!-- SC_OFF --><div class="md"><p>Please post your personal projects, startups, product placements,
无命中
0 命中
r/MachineLearning · reddit · 2026/3/2
[P] easy-torch-tpu: Making it easy to train PyTorch-based models on Google TPUs — <table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1r
无命中
0 命中
GitHub Releases
github:ollama/ollama · github_release · 2026/3/2
v0.17.5 — ## New models - [Qwen3.5](https://ollama.com/library/qwen3.5): the small Qwen 3.5 model series is no
llamaqwen
2 命中
github:ggerganov/llama.cpp · github_release · 2026/3/3
b8188 — ggml-webgpu: Support non-contiguous `src0` and overlapping `src0/src1` in binary ops (#19850) * ggml
llama
1 命中
github:ggerganov/llama.cpp · github_release · 2026/3/2
b8187 — vulkan: tune MMVQ for Intel Windows (#19988) **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://
llama
1 命中
github:ggerganov/llama.cpp · github_release · 2026/3/2
b8185 — ggml-cpu: optimise s390x multiply extend instructions (#20032) **macOS/iOS:** - [macOS Apple Silicon
llama
1 命中
👤 活跃作者排行
1
@dontbesilent
10 条 · ❤️285 · 🔁4