Lin Chen

Machine Learning, Computer Vision, AIoT

[Sanbu 散步 @sanbuphy]

更新了 Claude Code 内容体系相关教程，欢迎支持：https://t.co/jWIjmM55SC
涵盖系列深度指南：快速上手核心指南、MCP 完全指南、Skills 完全指南、Agent Teams 完全指南、Superpowers 工程级开��、工作流最佳实践、如何让 Coding Tools 长时间工作实用指南。

[SpaceX @SpaceX]

T-4 hours until Starship's seventh flight test. All systems and weather are looking good

Live webcast will begin ~35 minutes before liftoff → https://t.co/QNCSPTewLA

[Sam Altman @sama]

The Intelligence Age: https://t.co/vuaBNwp2bD

[Denis A. @den_run_ai]

NeurIPS NeuRUN with Jeff Dean

[Fei-Fei Li @drfeifei]

Anticipating an AI Executive Order by ⁦@POTUS⁩ President Biden on Monday, as an AI technologist, researcher & educator, I hope to see more AI investment in the public sector. It has been yrs of work ⁦@StanfordHAI⁩ in calling for this effort 1/ https://t.co/i2ATdrVEcj

[Massimo @Rainmaker1973]

40 years of Boston Dynamics (1983 - 2023)

[📹 World Data Center, HD: https://t.co/m6VDYgvZXI]

[Aakash Gupta @aakashgupta]

Code Interpreter is the most important AI product since ChatGPT itself.

To go from a total novice to a Code Interpreter power user, use this cheat-sheet:

[Shubham Saboo @Saboo_Shubham_]

ChatGPT Code Interpreter just launched 24 hrs ago

It has already taken the internet by storm and blowing everyone's mind!

Here are 15 amazing things that it can do:

[Hao Liu @haoliuhl]

As a part of our effort to replicate LLaMA in an open-source manner, we are pleased to announce the release of preview of the 7B OpenLLaMA model that has been trained with 200 billion tokens on the RedPajama dataset.
https://t.co/jsMn9ZlaN0

[Barsee 🐶 @heyBarsee]

This is GPT-4 Week 6, you won't believe what AI can do now.

Here are 10 new AI developments making it yet another crazy week: 👇

[Yann LeCun @ylecun]

A history of LLMs derived from LLaMA.

https://t.co/pz0zcCOBLb

[AI at Meta @AIatMeta]

Announced by Mark Zuckerberg this morning — today we're releasing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results matching or exceeding industry standards.

More on this new work ➡️ https://t.co/h5exzLJsFt

[Lior Alexander @LiorOnAI]

Meta AI just announced DINOv2! It's big.

The new Self-supervised Vision Transformer Model can be used as a backbone for almost all your CV tasks. No fine-tunning needed.

• Train CV models without the need for large amounts of labeled data.

• Multipurpose backbone: image classification, segmentation, image retrieval, and depth estimation.

• Learn features directly from images without relying on text descriptions, which can lead to a better understanding of local information.

• Can learn from any collection of images.

• The pretrained version of DINOv2 is already available and competes with CLIP and OpenCLIP on a wide array of tasks.

Code: https://t.co/cHFDptfgj0
Demo: https://t.co/IwUjJjdEyy

[Barsee 🐶 @heyBarsee]

The pace of AI is incredible right now. 🤯

Here's another groundbreaking week for AI:

Elon's new company "X"
No ChatGPT-5
AutoGPT, BabyAGI
Adobe text to video on Premere Pro
Meta Animated Drawings
New Stable Diffusion XL Free
Amazon launched OpenAI’s rival

Come and see 🧵👇

[AI at Meta @AIatMeta]

Today we're releasing the Segment Anything Model (SAM) — a step toward the first foundation model for image segmentation.

SAM is capable of one-click segmentation of any object from any photo or video + zero-shot transfer to other segmentation tasks ➡️ https://t.co/qYUoePrWVi

[Justin Johnson @jcjohnss]

I'm excited about Segment Anything released from FAIR today. It tackles an old problem (find objects in images) at large scale: trained on 11M images and 1B objects.
This is a new Foundation Model for Computer Vision - it recognizes any object in any context.

[Elon Musk @elonmusk]

Twitter recommendation source code now available to all on GitHub
https://t.co/9ozsyZANwa

[Rowan Cheung @rowancheung]

I searched through over 100+ new AI tools this week.

The top 10 most interesting ones that you've never heard about:

1. Genmo

Create and edit videos or images from text using GPT-4.

[Lior Alexander @LiorOnAI]

Game changer. You can now run GPT locally on your macbook with GPT4All, a new 7B LLM based on LLaMa.

It's completely open source: demo, data and code to train an assistant-style large language model with ~800k GPT-3.5-Turbo Generations based on LLaMa

https://t.co/4TOENuZUy6

[Sundar Pichai @sundarpichai]

We're expanding access to Bard in US + UK with more countries ahead, it's an early experiment that lets you collaborate with generative AI. Hope Bard sparks more creativity and curiosity, and will get better with feedback. Sign up: https://t.co/C1ibWrqTDr
https://t.co/N8Dzx1m0fc