强烈推荐大家关注以下13个AI 帐号。 这13个人主要是身份是工程师、科学家。 他们几乎影响了历史发展进程。

@karpathy

• Andrej Karpathy（约248万粉丝） Bio：我喜欢训练大型深度神经网络。曾任Tesla AI总监、OpenAI创始团队成员、斯坦福博士。 AI社区最受欢迎的“网红导师”，讲解极度清晰，常分享模型训练实战心得和前沿趋势，适合所有水平的学习者。

@fchollet

• François Chollet（约66.5万粉丝） Bio：Keras & ARC-AGI 创建者。 Keras框架之父 + ARC通用智能基准提出者，技术深度与哲学思考结合极强，能看到最前沿的AGI思考。

@ylecun

• Yann LeCun（约116万粉丝） Bio：图灵奖得主，前Meta首席AI科学家。 深度学习三巨头之一，观点犀利直接，常对行业热点发表一针见血的评论，信息含金量极高。

@AndrewYNg

• Andrew Ng（约153万粉丝） Bio：Coursera联合创始人，前百度/Google Brain负责人。 AI教育界第一人，课程推荐、职业建议和落地经验极其实用，非常适合想系统学习或转行的从业者。 @rasbt
• Sebastian Raschka（约44.6万粉丝） Bio：《Build a Large Language Model From Scratch》作者。 从零实现LLM的顶级实践者，代码教程和论文解读质量极高，是工程师最爱的技术干货账号。 @lilianweng
• Lilian Weng（约22万粉丝） Bio：前OpenAI AI安全与机器人VP，Lil’Log博主。 AI安全、强化学习和机器人领域的深度思考者，长文综述质量顶尖，适合想深入某个细分方向的人。

@jeremyphoward

• Jeremy Howard（约29.4万粉丝） Bio：http://fast.ai 联合创始人，前Kaggle总裁。 实用深度学习倡导者，教学方法和开源工具非常接地气，风格亲切且强调“能上手”的实战派。

@simonw

• Simon Willison（约18万粉丝） Bio：Datasette & Django联合创建者。 AI工程实践和LLM工具链专家，产品感和实用性极强，常分享好用的开源AI工具和工程技巧。 @ID_AA_Carmack
• John Carmack（约163万粉丝） Bio：游戏传奇程序员（Doom引擎之父），现专注AGI。 极客之神，直率的技术哲学思考和跨领域洞见（游戏+火箭+AI），深度极高，启发性爆棚。

@gwern

• Gwern（约7.5万粉丝） Bio：互联网研究者，挑剔的深度分析者。 粉丝虽少，但硬核程度顶级，常发布高质量AI实验、长文分析和独特观点，是“硬核爱好者”必备账号。 @goodside
• Riley Goodside（约20.3万粉丝） Bio：提示工程专家，前Google DeepMind/Scale员工。 LLM提示技巧和模型行为研究最强账号之一，分享大量实用技巧+有趣截图，幽默且直接能用。 @drfeifei
• Fei-Fei Li（约66.9万粉丝） Bio：ImageNet之母，Stanford HAI联合主任。 计算机视觉先驱，兼顾学术深度与AI人文/伦理视角，视野开阔且充满人文关怀。

@demishassabis

• Demis Hassabis（约93万粉丝） Bio：DeepMind CEO、诺贝尔奖得主。 AlphaGo/AlphaFold之父，直接来自AGI最前沿的第一手信息和愿景，含金量最高。

fast.ai—Making neural nets uncool again – fast.ai

Source: https://www.fast.ai/

Breaking the Spell of Vibe Coding

ai-in-society

technical

Sinister variations on the positive state of flow

Jan 28, 2026 Rachel Thomas

How To Use AI for the Ancient Art of Close Reading

education

technical

Experiments in reading with LLMs

Jan 21, 2026 Rachel Thomas

Stop Saying Boredom is Good for Kids

education

Chronic boredom causes stress, disengagement, and poor well-being in adults. So why do we glorify it for children?

Dec 3, 2025 Rachel Thomas

A Guide to Solveit Features

technical

An overview of the features of the Solveit platform, which is designed to make exploration and iterative development easier and faster.

Nov 7, 2025 Solveit and Kerem Turgutlu

Build to Last

advice

technical

Chris Lattner on software craftsmanship and AI

Oct 30, 2025 Jeremy Howard

Let’s Build the GPT Tokenizer: A Complete Guide to Tokenization in LLMs

technical

A text and code version of Karpathy’s famous tokenizer video.

Oct 16, 2025 Andrej Karpathy, via Solveit and Kerem Turgutlu

How to Solve it With Code course now available

courses

An email sent to all fast.ai forum users.

Oct 15, 2025 Jeremy Howard

fasttransform: Reversible Pipelines Made Simple

technical

Introducing fasttransform, a Python library that makes data transformations reversible and extensible through the power of multiple dispatch.

Feb 20, 2025 Rens Dimmendaal, Hamel Husain, & Jeremy Howard

What AI can tell us about microscope slides

health

technical

A friendly introduction to Foundation Models for Computational Pathology

Feb 3, 2025 Rachel Thomas

A New Chapter for fast.ai: How To Solve It With Code

education

courses

fast.ai is joining Answer.AI, and we’re announcing a new kind of educational experience, ‘How To Solve It With Code’

Nov 7, 2024 Jeremy Howard

In defense of screen time

education

Pundits say my husband and I are parenting wrong.

Oct 29, 2024 Rachel Thomas

A new old kind of R&D lab

ai-in-society

technical

Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs.

Dec 12, 2023 Jeremy Howard

Can LLMs learn from a single example?

technical

We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.

Sep 4, 2023 Jeremy Howard and Jonathan Whitaker

The real risk of AI is how it concentrates power

ai-in-society

Moving AI ethics beyond explainability and fairness to justice

Jul 29, 2023 Rachel Thomas

AI Safety and the Age of Dislightenment

ai-in-society

Model licensing & surveillance will likely be counterproductive by concentrating power in unsustainable ways

Jul 10, 2023 Jeremy Howard

Is Avoiding Extinction from AI Really an Urgent Priority?

ai-in-society

The history of technology suggests that the greatest risks come not from the tech, but from the people who control it

May 30, 2023 Seth Lazar, Jeremy Howard, & Arvind Narayanan

Mojo may be the biggest programming language advance in decades

technical

Mojo is a new programming language, based on Python, which fixes Python’s performance and deployment problems.

May 4, 2023 Jeremy Howard

From Deep Learning Foundations to Stable Diffusion

courses

We’ve released our new course with over 30 hours of video content.

Apr 4, 2023 Jeremy Howard

GPT 4 and the Uncharted Territories of Language

ai-in-society

Language is a source of limitation and liberation. GPT 4 pushes this idea to the extreme by giving us access to unlimited language.

Mar 20, 2023 Jeremy Howard

I was an AI researcher. Now, I am an immunology student.

education

Last year, I became captivated by a new topic in a way that I hadn’t felt since I first discovered machine learning

Feb 7, 2023 Rachel Thomas

1st Two Lessons of From Deep Learning Foundations to Stable Diffusion

courses

4 videos from Practical Deep Learning for Coders Part 2, 2022 have been released as a special early preview of the new course.

Oct 19, 2022 Jeremy Howard

Deep Learning Foundations Signup, Open Source Scholarships, & More

courses

Signups are now open for Practical Deep Learning for Coders Part 2, 2022. Scholarships are available for fast.ai community contributors, open source developers, and diversity scholars.

Sep 23, 2022 Jeremy Howard

From Deep Learning Foundations to Stable Diffusion

courses

Practical Deep Learning for Coders part 2, 2022

Sep 16, 2022 Jeremy Howard

My family’s unlikely homeschooling journey

education

Prior to 2020, we never expected to homeschool, and now we have committed to it long-term.

Sep 6, 2022 Rachel Thomas

The Jupyter+git problem is now solved

technical

Previously, using git with Jupyter could create conflicts and break notebooks. With nbdev2, the problem has been totally solved.

Aug 25, 2022 Jeremy Howard

nbdev+Quarto: A new secret weapon for productivity

technical

Our favorite tool for software engineering productivity–nbdev, now re-written with Quarto

Jul 28, 2022 Hamel Husain and Jeremy Howard

Practical Deep Learning for Coders 2022

courses

A complete from-scratch rewrite of fast.ai’s most popular course, that’s been 2 years in the making.

Jul 21, 2022 Jeremy Howard

Masks for COVID: Updating the evidence

health

Notes taken whilst preparing a paper on mask efficacy from Nov to Jan 2022. My previous paper on this was written in April 2020 and published in the Proceedings of the National Academy of Science

Jul 4, 2022 Jeremy Howard

Qualitative humanities research is crucial to AI

ai-in-society

Following the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.

Jun 1, 2022 Louisa Bartolo and Rachel Thomas

AI Harms are Societal, Not Just Individual

ai-in-society

In the west, our ideas of harm are largely anchored to an individual being harmed by a particular action at a discrete moment in time. Yet the harms caused by algorithmic systems are often collective and communal.

May 17, 2022 Rachel Thomas and Louisa Bartolo

There’s no such thing as not a math person

advice

education

Many cultural factors, misconceptions, stereotypes, and obstacles turn people off to math.

Mar 15, 2022 Rachel Thomas

7 Great Lightning Talks Related to Data Science Ethics

ai-in-society

Lightning talks by Australian experts on a range of topics related to data science ethics, including machine learning in medicine, explainability, Indigenous-led AI, and the role of policy

Mar 14, 2022 Rachel Thomas

https://www.fast.ai/posts/2021-11-23-data-for-good.html

Doing Data Science for Social Good, Responsibly

ai-in-society

While data for social good projects can be useful, there are also pitfalls to avoid.

Nov 23, 2021 Rachel Thomas

Avoiding Data Disasters

technical

ai-in-society

Things can go disastrously wrong on data science and machine learning projects when we undervalue data work, use data in contexts that it wasn’t gathered for, or ignore the crucial role that humans play in the data science pipeline.

Nov 4, 2021 Rachel Thomas

SARS-CoV-2 Spike Protein Impairment of Endothelial Function Does Not Impact Vaccine Safety

health

All approved SARS-CoV-2 vaccines provide far more benefits than risks. The very rare risk of VITT from the AZ and JJ vaccines is not due to the spike proteins, but is most likely due to details of their formulation.

Oct 27, 2021 Jeremy Howard and Uri Manor

Statistical problems found when studying Long Covid in kids

health

technical

Statistical tests need to be paired with proper data and study design to yield valid results. A recent review paper on Long Covid in children provides a useful example of how researchers can get this wrong. We use causal diagrams to decompose the problem and illustrate where errors were made.

Oct 17, 2021 Jeremy Howard

Medicine is Political

health

From covid-19 to HIV research to the long history of wrongly assuming women’s illnesses are psychosomatic, we have seen again and again that medicine, like all science, is political.

Oct 12, 2021 Rachel Thomas

https://www.fast.ai/posts/2021-09-25-new-yorker.html

Inaccuracies, irresponsible coverage, and conflicts of interest in The New Yorker

health

Letter to the editor of the New Yorker on the irresponsible description of a suicide, undisclosed financial conflicts of interest, and omission of relevant medical research and historical context in their recent long covid article

Sep 25, 2021 Rachel Thomas

Australia can, and must, get R under 1.0

health

By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

Sep 3, 2021 Jeremy Howard

https://www.fast.ai/posts/2021-08-16-ai-taxonomy.html

Getting Specific about AI Risks (an AI Taxonomy)

ai-in-society

The term “Artificial Intelligence” is a broad umbrella, referring to a variety of techniques applied to a range of tasks. This breadth can breed confusion. Success in using…

Aug 16, 2021 Rachel Thomas

11 Short Videos About AI Ethics

ai-in-society

I made a playlist of 11 short videos (most are 6-13 mins long) on Ethics in Machine Learning. This is from my ethics lecture in Practical Deep Learning for Coders v4. I…

Aug 16, 2021 Rachel Thomas

https://www.fast.ai/posts/2020-02-13-fastai-A-Layered-API-for-Deep-Learning.html

fastai A Layered API for Deep Learning

**Abstract:**fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard…

Aug 13, 2021 Jeremy Howard and Sylvain Gugger

https://www.fast.ai/posts/2021-08-02-fastdownload.html

fastdownload: the magic behind one of the famous 4 lines of code

technical

Summary:Today we’re launching fastdownload, a new library that makes it easy for your users to download, verify, and extract archives.

Aug 2, 2021 Jeremy Howard

Is GitHub Copilot a blessing, or a curse?

technical

GitHub Copilot is a new service from GitHub and OpenAI, described as “Your AI pair programmer”. It is a plugin to Visual Studio Code which auto-generates code for you based…

Jul 19, 2021 Jeremy Howard

fastchan, a new conda mini-distribution

technical

Summary: today we’re announcing fastchan, a new conda mini-distribution with a focus on the PyTorch ecosystem. Using fastchan, installation and updates of libraries such as P…

Jul 15, 2021 Jeremy Howard

https://www.fast.ai/posts/2021-05-24-aihub.html

20 Years of Tech Startup Experiences in One Hour

ai-in-society

I’ve just returned to Australia to live, after a decade as an entrepreneur in San Francisco. For my first in-person talk in Australia, I shared my thoughts on how to build a…

May 26, 2021 Jeremy Howard

I violated a code of conduct

ai-in-society

Update Oct 30, 2020: NumFOCUS has apologized to me. I accept their apology. I do not accept their assertion that “At the time of the interview, the committee had not…

Oct 28, 2020 Jeremy Howard

Avoiding the smoke - how to breath clean air

advice

health

You can use filters in your mask, your home central air, and your fans to clean the air in your home.

Sep 11, 2020 Jeremy Howard

fast.ai releases new deep learning course, four libraries, and 600-page book

courses

technical

We’re releasing Practical Deep Learning for Coders (2020), fastai v2, fastcore, and fastgpu.

Aug 21, 2020 Jeremy Howard

Forward from the ‘Deep Learning for Coders’ Book

courses

To celebrate the release of fast.ai’s new course, book, and software libraries on August 21st, we’re making available the foreword that Soumith Chintala (the co-creator of PyTorch) wrote for the book

Aug 20, 2020 Soumith Chintala

Applied Data Ethics, a new free course, is essential for all working in tech

ai-in-society

courses

Free, online course from fast.ai and University of San Francisco Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism.

Aug 19, 2020 Rachel Thomas

Essential Work-From-Home Advice: Cheap and Easy Ergonomic Setups

advice

health

You can permanently damage your back, neck, and wrists from working without an ergonomic setup. Learn how to create one for less at home.

Aug 6, 2020 Rachel Thomas

Cloth masks can protect the wearer

health

DIY masks aren’t just for protecting those around you. They can protect you too, but material and fit matters a lot. Learn what works, based on the latest research.

Jul 10, 2020 Jeremy Howard

Particle sizes for mask filtration

health

SARS-CoV-2 does not float in the air. It’s expelled as large droplets, which are easily caught by a cloth mask.

Jun 26, 2020 Jeremy Howard

Introducing the first cohort of USF CADE Data Ethics Research Fellows

ai-in-society

The University of San Francisco Center for Applied Data Ethics welcomes its first cohort of research fellows.

Jun 16, 2020 Rachel Thomas

Masks - FAQ for Skeptics

health

Wearing a mask decreases the number of people infected by an infectious wearer, because it reduces by around 99% the number of droplets that are ejected during speech

Apr 20, 2020 Jeremy Howard

Masks for all? The science says yes.

health

Most scientific evidence points in the same direction: keep your droplets to yourself - wear a mask

Apr 13, 2020 Professor Trisha Greenhalgh OBE and Jeremy Howard

6 Important Videos about Tech, Ethics, Policy, and Government

ai-in-society

At the CADE Tech Policy Workshop, members of local government, activists, researchers, and those in industry shared prespectives on how to understand the uses, risks, and opporutnities around government use of technology.

Mar 31, 2020 Rachel Thomas

Saving The Mask

health

An initiative from STEM teachers in Hong Kong to make reusable masks, for the community, by the community

Mar 20, 2020 Sarada Lee

Covid-19, your community, and you - a data science perspective

health

We are data scientists—that is, our job is to understand how to analyze and interpret data. When we analyze the data around covid-19, we are very concerned. The most…

Mar 9, 2020 Jeremy Howard and Rachel Thomas

Disinformation: what it is, why it’s pervasive, and proposed regulations

ai-in-society

At the CADE Tech Policy Workshop, experts Renee DiResta and Guillaume Chaslot spoke on disinformation, including the dyanmics that cause it to go viral and attempts towards addressing it.

Feb 26, 2020 Rachel Thomas

Tech Ethics Crisis: The Big Picture, and How We Got Here

ai-in-society

At the CADE Tech Policy Workshop, Y-Vonne Hutchinson spoke about the role of tech in facilitating mass atrocity, and Catherine Bracy spoke on the need for empathy and collective action.

Feb 9, 2020 Rachel Thomas

4 Principles for Responsible Government Use of Technology

ai-in-society

As governments consider new uses of technology, in public places, this raises issues around surveillance of vulnerable populations, unintended consequences, and potential misuse. There are several principles to keep in mind in how these decisions can be made in a healthier and more responsible manner.

Jan 21, 2020 Rachel Thomas

Blogging with Jupyter Notebooks

technical

With Jupyter Notebooks and fast_template, we can easily share prose, code, tables, charts, and more!

Jan 20, 2020 Jeremy Howard

Your own blog with GitHub Pages and fast_template (4 part tutorial)

technical

Overview of 4 part series explaining how to host your own blog without any coding

Jan 20, 2020 Jeremy Howard

Blogging with screenshots

technical

We show how to use fast_template’s special ‘screenshot’ feature to get high-resolution screenshots

Jan 19, 2020 Jeremy Howard

Syncing your blog with your PC, and using your word processor

technical

With GitHub Pages you can synchronize your blog with your computer, and write posts with MS Word or Google Docs

Jan 18, 2020 Jeremy Howard

Your own hosted blog, the easy, free, open way (even if you’re not a computer expert)

technical

An easy and free approach to using an entirely browser-based interface for all your blogging needs

Jan 16, 2020 Jeremy Howard

Self-supervised learning and computer vision

technical

Pretrain a model using labels that are naturally part of the input data, instead of using external labels

Jan 13, 2020 Jeremy Howard

https://www.fast.ai/posts/2020-01-07-data-questionnaire.html

Data project checklist

technical

There’s a lot more to creating useful data projects than just training an accurate model

Jan 7, 2020 Jeremy Howard

https://www.fast.ai/posts/2019-11-27-nbdev.html

nbdev: use Jupyter Notebooks for everything

technical

nbdev is a Python programming environment which allows you to create complete python packages, including tests and a rich documentation system, all in Jupyter Notebooks

Dec 2, 2019 Jeremy Howard

Concerned about the impacts of data misuse? Ways to get involved with the USF Center for Applied Data Ethics

ai-in-society

Three months after the launch of CADE, find out what we’ve been up to and how you can get involved.

Nov 4, 2019 Rachel Thomas

The problem with metrics is a big problem for AI

ai-in-society

technical

Unthinkingly optimizing metrics can lead to a variety of grave harms, and what most current AI approaches do is to optimize metrics.

Sep 24, 2019 Rachel Thomas

8 Things You Need to Know about Surveillance

ai-in-society

8 important truths about surveillance

Aug 7, 2019 Rachel Thomas

https://www.fast.ai/posts/2019-08-06-delegation.html

Make Delegation Work in Python

Fixing the delegation program usingdelegatesdecorator andGetAttr

Aug 6, 2019 Jeremy Howard

USF Launches New Center of Applied Data Ethics

ai-in-society

courses

University of San Francisco is launching a Center of Applied Data Ethics, and Rachel Thomas is the director of the new center.

Aug 5, 2019 Rachel Thomas

new fast.ai course: A Code-First Introduction to Natural Language Processing

technical

courses

fast.ai’s newest course is Code-First Intro to NLP. It covers a blend of traditional NLP techniques, recent deep learning approaches, and urgent ethical issues.

Jul 8, 2019 Rachel Thomas

Deep Learning from the Foundations

courses

Today we are releasing a new course, Deep Learning from the Foundations, which shows how to build a state of the art deep learning model from scratch.

Jun 28, 2019 Jeremy Howard

A LaTeX add-in for PowerPoint - my father’s day project

technical

For creating presentations there’s a lot of features in PowerPoint that are hard to beat. So it’s not surprising that it’s a very popular tool—I see a lot of folks…

Jun 17, 2019 Jeremy Howard

Was this Google Executive deeply misinformed or lying in the New York Times?

ai-in-society

YouTube has played a significant role in radicalizing people into conspiracy theories that promote white supremacy, anti-vaxxing, denial of mass shootings, climate change…

May 28, 2019 Rachel Thomas

https://www.fast.ai/posts/2019-05-13-blogging-advice.html

Advice for Better Blog Posts

advice

A blog is like a resume, only better. I’ve been invited to give keynote talks based on my posts, and I know of people for whom blog posts have led to job offers. I’ve…

May 13, 2019 Rachel Thomas

Decrappification, DeOldification, and Super Resolution

courses

We presented this work at the Facebook f8 conference. You can see this video of our talk here, or read on for more details and examples.

May 3, 2019 Jason Antic (Deoldify), Jeremy Howard (fast.ai), and Uri Manor (Salk Institute)

16 Things You Can Do to Make Tech More Ethical, part 3

ai-in-society

This post is part 3 in a series. Please check out part 1 here and part 2 here.

May 3, 2019 Rachel Thomas

16 Things You Can Do to Make Tech More Ethical, part 2

ai-in-society

This post is part 2 in a 3-part series. Please check out part 1 and part 3 as well.

Apr 25, 2019 Rachel Thomas

16 Things You Can Do to Make Tech More Ethical, part 1

ai-in-society

This post is part 1 in a 3-part series. Please check out part 2 and part 3 as well.

Apr 22, 2019 Rachel Thomas

https://www.fast.ai/posts/2019-03-06-fastai-swift.html

fast.ai Embracing Swift for Deep Learning

technical

Note from Jeremy: If you want to join the next deep learning course at the University of San Francisco, discussed below, please apply as soon as possible because it’s under…

Mar 6, 2019 Jeremy Howard

https://www.fast.ai/posts/2019-03-04-ethics-framework.html

A Conversation about Tech Ethics with the New York Times Chief Data Scientist

ai-in-society

Note from Rachel: Although I’m excited about the positive potential of tech, I’m also scared about the ways that tech is having a negative impact on society, and I’m…

Mar 4, 2019 Rachel Thomas and Chris Wiggins

Dairy farming, solar panels, and diagnosing Parkinson’s disease: what can you do with deep learning?

ai-in-society

courses

Many people incorrectly assume that AI is only for an elite few– a handful of Silicon Valley computer science prodigies with monthly budgets larger than most people’s…

Feb 21, 2019 Rachel Thomas

fastec2: AWS computer management for regular folks

technical

This is part 1 of a series on fastec2. To learn how to run and monitor long-running tasks with fastec2 check out part 2.

Feb 15, 2019 Jeremy Howard

https://www.fast.ai/posts/2019-02-20-fastec2-script.html

fastec2 script: Running and monitoring long-running tasks

technical

This is part 2 of a series on fastec2. For an introduction to fastec2, see part 1.

Feb 15, 2019 Jeremy Howard

https://www.fast.ai/posts/2019-02-15-openai-gp2.html

Some thoughts on zero-day threats in AI, and OpenAI’s GPT-2

ai-in-society

There’s been a lot of discussion in the last couple of days about OpenAI’s new language model. OpenAI made the unusual decision to not release their trained model (the AI…

Feb 15, 2019 Jeremy Howard

Five Things That Scare Me About AI

ai-in-society

AI is being increasingly used to make important decisions. Many AI experts (including Jeff Dean, head of AI at Google, and Andrew Ng, founder of Coursera and…

Jan 29, 2019 Rachel Thomas

fast.ai Diversity Fellows and Sponsors Wanted

courses

This post was originally published on 2018-08-16, but has been updated for the newest, upcoming course.

Jan 28, 2019 Rachel Thomas

Practical Deep Learning for Coders 2019

courses

Launching today, the 2019 edition of Practical Deep Learning for Coders, the third iteration of the course, is 100% new material, including applications that have never been…

Jan 24, 2019 Jeremy Howard

C++11, random distributions, and Swift

technical

Generating numbers from random distributions is a practically useful tool that any coder is likely to need at some point. C++11 added a rich set of random distribution…

Jan 13, 2019 Jeremy Howard

https://www.fast.ai/posts/2019-01-10-swift-numerics.html

High Performance Numeric Programming with Swift: Explorations and Reflections

technical

Over the past few weeks I’ve been working on building some numeric programming libraries for Swift. But wait, isn’t Swift just what iOS programmers use for building apps?…

Jan 10, 2019 Jeremy Howard

One year of deep learning

advice

My resolution for 2018 was to get into deep learning. I had stumbled upon a website called fast.ai in October 2017 after reading an article from the New York Times…

Jan 2, 2019 Sylvain Gugger

https://www.fast.ai/posts/2018-10-18-aws-datasets.html

The new fast.ai research datasets collection, on AWS Open Data

courses

technical

In machine learning and deep learning we can’t do anything without data. So the people that create datasets for us to train our models are the (often under-appreciated)…

Oct 16, 2018 Jeremy Howard (fast.ai) and Jed Sundwall (Open Data Global Lead, AWS)

fastai v1 for PyTorch: Fast and accurate neural nets using modern best practices

technical

Note from Jeremy: Want to learn more? Listen to me discuss fastai with Sam Charrington in this in-depth interview.

Oct 2, 2018 Jeremy Howard

https://www.fast.ai/posts/2018-09-26-ml-launch.html

Introduction to Machine Learning for Coders: Launch

courses

Today we’re launching our newest (and biggest!) course, Introduction to Machine Learning for Coders. The course, recorded at the University of San Francisco as part of the Ma…

Sep 26, 2018 Jeremy Howard

https://www.fast.ai/posts/2018-09-24-ai-ethics-resources.html

AI Ethics Resources

advice

ai-in-society

My newest Ask-A-Data-Scientist post was inspired by a computer science student who wrote in asking for advice on how to pursue a career in policy making related to the…

Sep 24, 2018 Rachel Thomas

What You Need to Know Before Considering a PhD

advice

education

My newest Ask-A-Data-Scientist post addresses the question of whether to pursue a PhD. You can find my previous Ask-A-Data-Scientist advice columns here.

Aug 27, 2018 Rachel Thomas

Practical Deep Learning for Coders, part-time Diversity Fellowships, Fall 2018

courses

At fast.ai, we want to do our part to increase diversity in deep learning and to lower the unnecessary barriers to entry for everyone. We are providing diversity…

Aug 16, 2018 Rachel Thomas

Now anyone can train Imagenet in 18 minutes

technical

This post extends the work described in a previous post, Training Imagenet in 3 hours for $25; and CIFAR10 for $0.26.

Aug 10, 2018 Jeremy Howard

What HBR Gets Wrong About Algorithms and Bias

ai-in-society

The Harvard Business Review recently published an article, Want Less-Biased Decisions? Use Algorithms. by Alex P. Miller. The article focuses on the fact that humans make…

Aug 7, 2018 Rachel Thomas

Google’s AutoML: Cutting Through the Hype

technical

This is part 3 in a series. Part 1 is here and Part 2 is here.

Jul 23, 2018 Rachel Thomas

An Opinionated Introduction to AutoML and Neural Architecture Search

technical

This is part 2 in a series. Check out part 1 here and part 3 here.

Jul 16, 2018 Rachel Thomas

What do machine learning practitioners actually do?

technical

This post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular.

Jul 12, 2018 Rachel Thomas

AdamW and Super-convergence is now the fastest way to train neural nets

technical

*Note from Jeremy:*Welcome to fast.ai’s first scholar-in-residence, Sylvain Gugger. What better way to introduce him than to publish the results of his first research…

Jul 2, 2018 Sylvain Gugger and Jeremy Howard

Launching Cutting Edge Deep Learning for Coders: 2018 edition

courses

Today we are launching the 2018 edition ofCutting Edge Deep Learning for Coders, part 2 of fast.ai’sfreedeep learning course. Just as with our part 1Practical Deep…

May 7, 2018 Jeremy Howard

Training Imagenet in 3 hours for USD 25; and CIFAR10 for USD 0.26

technical

Posted: May 2, 2018

Apr 30, 2018 Jeremy Howard

An Introduction to Deep Learning for Tabular Data

technical

There is a powerful technique that is winning Kaggle competitions and is widely used at Google (according to Jeff Dean), Pinterest, and Instacart, yet that many people don’t…

Apr 29, 2018 Rachel Thomas

What you need to know about Facebook and Ethics

ai-in-society

While many news outlets have covered what Zuckerberg wore for his testimony before congress last week, I wish that several more substantial issues were getting greater…

Apr 19, 2018 Rachel Thomas

https://www.fast.ai/posts/2018-04-10-stanford-salon.html

A Discussion about Accessibility in AI at Stanford

advice

I recently was a guest speaker at the Stanford AI Salon on the topic of accessiblity in AI, which included a free-ranging discussion among assembled members of the Stanford…

Apr 10, 2018 Rachel Thomas

Adding Data Science to your College Curriculum

advice

We keep hearing that data scientist is the hottest job of the 21st century and that there is a cross-industry shortage of employees with enough data skills, yet the idea of…

Feb 27, 2018 Rachel Thomas

Practical Deep Learning for Coders 2018

courses

Last year we announced that we were developing a new deep learning course based on Pytorch (and a new library we have built, called fastai), with the goal of allowing more…

Jan 26, 2018 Jeremy Howard

https://www.fast.ai/posts/2018-01-17-international-spring-2018.html

International Fellowship applications for Part 2 now open

courses

From the time of our very first deep learning course at the USF Data Institute (which was recorded and formed the basis of our MOOC), we have allowed selected students that…

Jan 17, 2018 Rachel Thomas

https://www.fast.ai/posts/2018-01-09-diversity-sponsors.html

New Opportunities For New Deep Learning Practitioners

courses

ai-in-society

Dawit Hailefought against the odds when he decided to study computer science in Eritrea, East Africa, despite having no internet connectivity. His perseverance paid off…

Jan 9, 2018 Rachel Thomas

Five Trends to Avoid When Founding a Startup

advice

This post was inspired by a round-table discussion I led on the topics of founding start-ups and personal branding at the Women in Machine Learning Workshop, co-located with…

Jan 8, 2018 Rachel Thomas

https://www.fast.ai/posts/2018-01-02-diversity-2018.html

Deep Learning Diversity Fellowship Applications Now Open

courses

Cutting Edge Deep Learning for Coders (Part 2) will be taught this spring at the USF Data Institute in downtown San Francisco, on Monday evenings from March 19 to April 30.…

Jan 2, 2018 Rachel Thomas

Making Peace with Personal Branding

advice

As a child, I was nerdy and shy. At my elementary and middle schools, we had to present our science projects to judges in the school science fair each year, and I noticed…

Dec 18, 2017 Rachel Thomas

What you need to do deep learning

advice

technical

This post has been translated into Chinese here.

Nov 16, 2017 Rachel Thomas

How (and why) to create a good validation set

technical

An all-too-common scenario: a seemingly impressive machine learning model is a complete failure when implemented in production. The fallout includes leaders who are now…

Nov 13, 2017 Rachel Thomas

When Data Science Destabilizes Democracy and Facilitates Genocide

ai-in-society

What we’re talking about is a cataclysmic change… What we’re talking about is a major foreign power with sophistication and ability to involve themselves in a presidential…

Nov 2, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-09-19-accurate-info.html

Credible sources of accurate information about AI

advice

There is a lot of misleading and even false information about AI out there, ranging from apallingly bad journalism to overhyped marketing materials to quotes from…

Sep 19, 2017 Rachel Thomas

Can Neural Nets Detect Sexual Orientation? A Data Scientist’s Perspective

ai-in-society

This post has been translated into Chinese here.

Sep 13, 2017 Jeremy Howard

Introducing Pytorch for fast.ai

technical

courses

The next fast.ai courses will be based nearly entirely on a new framework we have developed, built on Pytorch. Pytorch is a different kind of deep learning library (dynamic…

Sep 8, 2017 Jeremy Howard

https://www.fast.ai/posts/2017-09-08-international-fellowship.html

International Fellowship applications for Part 1 now open

courses

This post is from 2017. To apply for the 2018 version, please read this post

Sep 8, 2017 Jeremy Howard

https://www.fast.ai/posts/2017-08-25-language-modeling-sota.html

Notes on state of the art techniques for language modeling

technical

Edit one day later… Much to my surprise a lot of people shared this on twitter, and much to my delight there were some very helpful and interesting comments from people I…

Aug 25, 2017 Jeremy Howard

Advice to Medical Experts Interested in AI

advice

This week’s Ask-A-Data-Scientist column is from a medical doctor. Email your data science advice questions to mailto:[email protected]. Previous posts include:

Aug 21, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-08-17-diversity-sponsors.html

Sponsor a Deep Learning Diversity Scholarship

courses

Last year’s diversity fellowships (funded by University of San Francisco and fast.ai), open to women, people of Color, LGBTQ people, and vets, played a role in helping us…

Aug 17, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-08-16-diversity-crisis.html

Diversity Crisis in AI, 2017 edition

ai-in-society

Deep learning has great potential, but currently the people using this technology are overwhelmingly white and male. We’re already seeing society’s racial and gender biases…

Aug 16, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-08-15-diversity.html

Announcing fast.ai diversity scholarships

courses

At fast.ai, we want to do our part to increase diversity in deep learning and to lower the unnecessary barriers to entry for everyone. Therefore, we are providing diversity…

Aug 15, 2017 Rachel Thomas

Cutting Edge Deep Learning for Coders: Launching Deep Learning Part 2

courses

Special note: we’re teaching a fully updated part 1, in person, for seven weeks from Oct 30, 2017, at the USF Data Institute. See the course page for details and application…

Jul 28, 2017 Jeremy Howard

https://www.fast.ai/posts/2017-07-28-killer-robots.html

Thoughts on OpenAI, reinforcement learning, and killer robots

ai-in-society

“So how is fast.ai different from OpenAI?” I’ve been asked this question numerous times, and on the surface, there are several similarities: both are non-profits, both value…

Jul 28, 2017 Rachel Thomas

New fast.ai course: Computational Linear Algebra

courses

I am thrilled to release fast.ai’s newest free course,Computational Linear Algebra, including an online textbook and a series of videos, and covering applications (using…

Jul 17, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-05-07-parent.html

How to Encourage Your Child’s Interest in Science and Tech

advice

This week’s Ask-A-Data-Scientist column is from a parent on how to encourage their child in STEAM. Please email your data science related quandaries to mailto:[email protected].…

May 7, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-04-06-alternatives.html

Alternatives to a Degree to Prove Yourself in Deep Learning

advice

This post has been translated into Chinese here.

Apr 6, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-03-23-focus-on-coding.html

To become a data scientist, focus on coding

advice

This week’s Ask-A-Data-Scientist column answers two short questions from students. Please email your data science related quandaries to mailto:[email protected]. Note that…

Mar 23, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-03-17-not-commoditized-no-phd.html

Machine learning hasn’t been commoditized yet, but that doesn’t mean you need a PhD

advice

This post has been translated into Chinese here.

Mar 17, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-03-01-changing-careers.html

How to change careers and become a data scientist - one quant’s experience

advice

This post has been translated into Chinese here.

Mar 1, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-02-27-not-just-silicon-valley.html

Deep Learning: Not Just for Silicon Valley

ai-in-society

courses

Recent American news events range from horrifying to dystopian, but reading the applications of our fast.ai international fellows brought me joy and optimism. I was blown…

Feb 27, 2017 Rachel Thomas

Deep Learning For Coders - Full notes and transcripts now available

courses

We’ve been so excited to watch the thousands of people working their way through part 1 of Practical Deep Learning For Coders, and the buzzing community that has formed…

Feb 24, 2017

https://www.fast.ai/posts/2017-01-28-diversity-international-part-ii.html

Diversity and International Fellowships for Deep Learning Part 2

courses

Applications are now open for Deep Learning Part 2, to be offered at the University of San Francisco Data Institute on Monday evenings, Feb 27-April 10. The course will cover…

Jan 28, 2017 Rachel Thomas

https://www.fast.ai/posts/2017-01-17-curriculum2.html

Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning

courses

With part 2 of our in person SF course starting in 6 weeks, and applications having just opened, we figured we better tell you a bit about what to expect!… So here’s an…

Jan 17, 2017 Jeremy Howard

https://www.fast.ai/posts/2017-01-03-keras.html

Big deep learning news: Google Tensorflow chooses Keras

technical

Buried in a Reddit comment, Francois Chollet, author of Keras and AI researcher at Google, made an exciting announcement: Keras will be the first high-level library added to…

Jan 3, 2017 Rachel Thomas

https://www.fast.ai/posts/2016-12-29-uses-of-ai.html

Where is AI/ML actually adding value at your company?

ai-in-society

advice

An interesting thread came up over at Hacker News: Ask HN: Where is AI/ML actually adding value at your company?. And the folks at High Scalability were good enough to summar…

Dec 29, 2016 Jeremy Howard

https://www.fast.ai/posts/2016-12-24-mooc.html

The Deep Learning MOOC is now available!

courses

We’re very excited and proud to announce the launch of the fast.ai Deep Learning MOOC. It contains all the lessons from the in-person course we’ve been discussing here over…

Dec 24, 2016 Jeremy Howard

https://www.fast.ai/posts/2016-12-19-gpu-lies.html

(Update - problem resolved!) Azure and AWS’s ‘GPU general availability’ lies

technical

Huge thanks to Boyd Mcgeachie from AWS for reaching out to us and organizing a (nearly) frictionless AWS onboarding experience for our MOOC participants. He couldn’t have…

Dec 19, 2016 Jeremy Howard

https://www.fast.ai/posts/2016-12-19-favorite-posts.html

So you are interested in deep learning

advice

This was inspired by a bright high school student that emailed me for advice about his interest in deep learning.

Dec 19, 2016 Rachel Thomas

https://www.fast.ai/posts/2016-12-08-org-structure.html

How should you structure your Data Science and Engineering teams?

advice

I sometimes receive emails asking for guidance related to data science, and I’m going to start sharing my answers here as a data science advice column. If you have a data…

Dec 8, 2016 Rachel Thomas

https://www.fast.ai/posts/2016-11-17-not-all-the-same.html

It used to be called big data and now it’s called deep learning

technical

advice

At the Financial Times-Nikkei conference onThe Future of AI, Robots, and Usa few weeks ago, Andreessen Horowitz partner Chris Dixon spoke just before Jeremy Howard and I…

Nov 17, 2016 Rachel Thomas

https://www.fast.ai/posts/2016-10-12-international.html

Additional Diversity Fellowship, New International Fellowships, and Deadline Extended to 10/17

courses

We have been getting a lot of interest in our upcoming deep learning course over the last couple of days. With applications closing today, we’ve heard from USF that they…

Oct 12, 2016 Rachel Thomas

https://www.fast.ai/posts/2016-10-11-fortune.html

New Electricity

ai-in-society

advice

I’ve been saying for some time that Deep Learning is going to be even more transformative than the internet. This view is shared by the always insightful Andrew Ng (Chief…

Oct 11, 2016 Jeremy Howard

https://www.fast.ai/posts/2016-10-09-diversity-in-ai.html

The Diversity Crisis in AI, and fast.ai Diversity Fellowship

ai-in-society

courses

Update: The deadline has been extended to 10/17. Read more here

Oct 9, 2016 Rachel Thomas

https://www.fast.ai/posts/2016-10-08-curriculum.html

What We Will Cover in the First Deep Learning Certificate

courses

For those of you considering joining our deep learning certificate, I’m sure you’d like to hear more about what we will be covering. This first course if part 1 of a two…

Oct 8, 2016 Jeremy Howard & Rachel Thomas

Providing a Good Education in Deep Learning

courses

education

Paul Lockhart, a Columbia math PhD, former Brown professor, and K-12 math teacher, writes in the influential essay A Mathematician’s Lament of a nightmare world where…

Oct 8, 2016 Rachel Thomas

A unique path to deep learning expertise

courses

If you’re considering investing time in studying deep learning with fast.ai, then we want to give you all the information you need to decide whether you could benefit from…

Oct 8, 2016 Jeremy Howard

https://www.fast.ai/posts/2016-10-08-course-background.html

The First Certificate in Deep Learning

courses

Update: The deadline has been extended to 10/17

Oct 8, 2016 Jeremy Howard

Launching fast.ai

ai-in-society

Jeremy is the past president of Kaggle, founder of Enlitic, FastMail.FM, and Optimal Decisions Group, and is on the faculty at Singularity University. See fast.ai’s About page…

Oct 7, 2016 Jeremy Howard