AnonyMike

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[AnonyMike @_anonymike_]

@deedydas Is it one-shotted?

[AnonyMike @_anonymike_]

@deedydas 🤯🧘‍♂️

[AnonyMike @_anonymike_]

@fin465 SEND

[AnonyMike @_anonymike_]

Want more edge AI updates? Follow @_anonymike_ and share this thread with a fellow maker. Cheers. 💬

[AnonyMike @_anonymike_]

Edge computing is shifting away from simple sensors toward full generative capability.

Real-time AI performance is finally affordable. 😳

5 great examples + resources:

1/ Generative AI at the edge https://t.co/3Qy9zQUs6k

[ElettronicaOpen @ElettronicaOpen]

#AI #RaspberryPi #edgecomputing Con Raspberry Pi AI HAT+ 2 l’IA generativa sbarca sull’edge computing domestico: L’Intelligenza Artificiale generativa arriva sull’hardware embedded con una soluzione compatta e potente, capace di eseguire modelli… https://t.co/AaG7d68XGu

[AnonyMike @_anonymike_]

5/ Strategic edge deployment planning https://t.co/V7AnVGkiKa

[ぽよ🎋🎶🐧 @CezvtStsysmwkm]

LLMも能力が高くなくても実用的な方向で検討し直して、INTEL ARC PRO B50 は一旦白紙に

基本 raspberry pi 5 16GB と pi4 4GB で構築できる範囲とする
AI HAT + は 26TOPS版も検討する

エッジAIマイコンはデモボードでどの程度できるか試すので、こっちも購入
こっちの出来次第だわ

方針は決まり

[AnonyMike @_anonymike_]

If you liked this thread, follow @_anonymike_ and engage so we can provide more AI knowledge! 💬

[AnonyMike @_anonymike_]

Web agents are entering a new league of performance. OpenAI Operator is setting the gold standard for multi-step reasoning.

Benchmarks are shifting fast 😳

5 great examples + resources:

1/ Benchmarking Operator against new market competitors https://t.co/b7VXev4ENW

[YokerAI @IATheYoker]

OpenAI lanzó Operator como el futuro de los AI agents.

TinyFish acaba de dejarlo atrás.

En el benchmark más exigente para navegación web real (Online-Mind2Web):

TinyFish: 89.97%
Operator: 61.3%

Eso no es una mejora. Es otra liga.

[AnonyMike @_anonymike_]

5/ Infrastructure for complex, dynamic enterprise workflows https://t.co/DqWxUSHfce

[Gorden Sun @Gorden_Sun]

TinyFish在Mind2Web测试上总体准确率90%，领先第二名21个百分点；Hard任务上得分81.9%，远高于Navigator、OpenAI Operator、Browser Use等相似产品。

简而言之，TinyFish给独立开发者提供了企业级Web Agents基础设施，并行访问网络、执行复杂工作流、处理动态流程、返回结构化数据，开发者可以更专注于业务逻辑和产品体验。

在这里可以体验：https://t.co/vQtaccYhV6
官方同时开源了Cookbook，里面有上手教程和实践案例，可以Star收藏：https://t.co/ckKB74tAk0
@Tiny_Fish

[AnonyMike @_anonymike_]

Enjoyed these demos? Follow @_anonymike_ and comment with your favorite project. Let's build. 💬

[AnonyMike @_anonymike_]

Hardware is only as good as the software driving it. These makers are pushing the limits of automation.

AI agents can now build their own hardware interfaces. 😳

5 great examples + resources:

1/ AI-driven automated deployment https://t.co/p40SJTCWV1

[AI视点 @li_ez38898]

(2/2)

核心要点：
1、Claude Opus 4.6通过SSH远程控制Raspberry Pi 5，自动检测AI Hat 2硬件并安装本地LLM。
2、四代理团队并行开发"Pi Chat"应用：研究硬件、搭建RAG向量数据库、构建前端、QA部署，全程自动化。
3、最终成果：本地语音+文档上传+AI对话系统，成本仅$8.50，实现零手动干预的边缘AI部署。

[AnonyMike @_anonymike_]

5/ Privacy-first local AI strategy https://t.co/2yHhfRk263

[ジョー@AIで仕事爆速化＆AI活用情報をお届け @Johonokatachi]

Raspberry Pi向けAI拡張ボード登場

機密情報を外に出さず生成AI活用
中小企業の勝ち筋、ここにあり

・AI拡張ボードAI HAT+ 2登場
・クラウド不要、ローカル環境で生成AIを実行可能
・データプライバシーを維持しながら低コストでAI処理

#ローカルAI #データセキュリティ

https://t.co/sPDMtlFsIf