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"published_at": "2023-08-16T05:45:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc287e483c7", "title": "Email notifications on public GitHub commits", "url": "https://yanirseroussi.com/til/2023/08/14/email-notifications-on-public-github-commits/", "published_at": "2023-08-14T05:15:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28898d0ed", "title": "The rule of thirds can probably be ignored", "url": "https://yanirseroussi.com/til/2023/08/11/the-rule-of-thirds-can-probably-be-ignored/", "published_at": "2023-08-11T03:15:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc288f82c11", "title": "Using YubiKey for SSH access", "url": "https://yanirseroussi.com/til/2023/07/23/using-yubikey-for-ssh-access/", "published_at": "2023-07-23T00:07:15+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc289a57d72", "title": "Making a TIL section with Hugo and PaperMod", "url": "https://yanirseroussi.com/til/2023/07/17/making-a-til-section-with-hugo-and-papermod/", "published_at": "2023-07-17T00:06:15+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28a0b722e", "title": "You can't save time", "url": "https://yanirseroussi.com/til/2023/07/11/you-cant-save-time/", "published_at": "2023-07-11T00:00:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28a3628f7", "title": "Was data science a failure mode of software engineering?", "url": "https://yanirseroussi.com/2023/06/30/was-data-science-a-failure-mode-of-software-engineering/", "published_at": "2023-06-30T00:06:30+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28abe4255", "title": "How hackable are automated coding assessments?", "url": "https://yanirseroussi.com/2023/05/26/how-hackable-are-automated-coding-assessments/", "published_at": "2023-05-26T00:03:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28b70bc29", "title": "Remaining relevant as a small language model", "url": "https://yanirseroussi.com/2023/04/21/remaining-relevant-as-a-small-language-model/", "published_at": "2023-04-21T00:06:30+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28c0ca2d4", "title": "ChatGPT is transformative AI", "url": "https://yanirseroussi.com/2022/12/11/chatgpt-is-transformative-ai/", "published_at": "2022-12-11T00:00:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28cf914b4", "title": "Causal Machine Learning is off to a good start, despite some issues", "url": "https://yanirseroussi.com/2022/09/12/causal-machine-learning-book-draft-review/", "published_at": "2022-09-12T02:45:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28d2b27d6", "title": "The mission matters: Moving to climate tech as a data scientist", "url": "https://yanirseroussi.com/2022/06/06/the-mission-matters-moving-to-climate-tech-as-a-data-scientist/", "published_at": "2022-06-06T00:00:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28d7a8a1c", "title": "Building useful machine learning tools keeps getting easier: A fish ID case study", "url": "https://yanirseroussi.com/2022/03/20/building-useful-machine-learning-tools-keeps-getting-easier-a-fish-id-case-study/", "published_at": "2022-03-20T04:30:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28e37b67b", "title": "Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials", "url": "https://yanirseroussi.com/2022/01/14/analysis-strategies-in-online-a-b-experiments/", "published_at": "2022-01-14T00:05:40+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28ebbb8d4", "title": "Use your human brain to avoid artificial intelligence disasters", "url": "https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/", "published_at": "2021-11-22T03:45:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28f816636", "title": "Migrating from WordPress.com to Hugo on GitHub + Cloudflare", "url": "https://yanirseroussi.com/2021/11/10/migrating-from-wordpress-com-to-hugo-on-github-cloudflare/", "published_at": "2021-11-10T06:30:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc28fbf594c", "title": "My work with Automattic", "url": "https://yanirseroussi.com/2021/10/07/my-work-with-automattic/", "published_at": "2021-10-07T00:00:00+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc2904c3175", "title": "Some highlights from 2020", "url": "https://yanirseroussi.com/2021/04/05/some-highlights-from-2020/", "published_at": "2021-04-05T06:41:48+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc2906a67a7", "title": "Many is not enough: Counting simulations to bootstrap the right way", "url": "https://yanirseroussi.com/2020/08/24/many-is-not-enough-counting-simulations-to-bootstrap-the-right-way/", "published_at": "2020-08-24T01:35:17+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc291191cce", "title": "Software commodities are eating interesting data science work", "url": "https://yanirseroussi.com/2020/01/11/software-commodities-are-eating-interesting-data-science-work/", "published_at": "2020-01-11T09:22:35+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc291d1fdf6", "title": "A day in the life of a remote data scientist", "url": "https://yanirseroussi.com/2019/12/12/a-day-in-the-life-of-a-remote-data-scientist/", "published_at": "2019-12-11T22:06:19+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc292c4bf66", "title": "Bootstrapping the right way?", "url": "https://yanirseroussi.com/2019/10/06/bootstrapping-the-right-way/", "published_at": "2019-10-06T06:48:07+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc292efc7bf", "title": "Hackers beware: Bootstrap sampling may be harmful", "url": "https://yanirseroussi.com/2019/01/08/hackers-beware-bootstrap-sampling-may-be-harmful/", "published_at": "2019-01-07T21:07:56+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc293e953ea", "title": "The most practical causal inference book I’ve read (is still a draft)", "url": "https://yanirseroussi.com/2018/12/24/the-most-practical-causal-inference-book-ive-read-is-still-a-draft/", "published_at": "2018-12-24T02:37:50+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc293fabae3", "title": "Reflections on remote data science work", "url": "https://yanirseroussi.com/2018/11/03/reflections-on-remote-data-science-work/", "published_at": "2018-11-03T06:33:13+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc2944ab979", "title": "Defining data science in 2018", "url": "https://yanirseroussi.com/2018/07/22/defining-data-science-in-2018/", "published_at": "2018-07-22T08:27:43+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc2947c9148", "title": "Advice for aspiring data scientists and other FAQs", "url": "https://yanirseroussi.com/2017/10/15/advice-for-aspiring-data-scientists-and-other-faqs/", "published_at": "2017-10-15T09:15:25+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc295368b6d", "title": "State of Bandcamp Recommender, Late 2017", "url": "https://yanirseroussi.com/2017/09/02/state-of-bandcamp-recommender/", "published_at": "2017-09-02T10:19:02+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc295e85d13", "title": "My 10-step path to becoming a remote data scientist with Automattic", "url": "https://yanirseroussi.com/2017/07/29/my-10-step-path-to-becoming-a-remote-data-scientist-with-automattic/", "published_at": "2017-07-29T05:39:26+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc296c3e2e2", "title": "Exploring and visualising Reef Life Survey data", "url": "https://yanirseroussi.com/2017/06/03/exploring-and-visualising-reef-life-survey-data/", "published_at": "2017-06-03T00:49:05+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc2970cb3be", "title": "Customer lifetime value and the proliferation of misinformation on the internet", "url": "https://yanirseroussi.com/2017/01/08/customer-lifetime-value-and-the-proliferation-of-misinformation-on-the-internet/", "published_at": "2017-01-08T20:02:30+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc2979041a4", "title": "Ask Why! Finding motives, causes, and purpose in data science", "url": "https://yanirseroussi.com/2016/09/19/ask-why-finding-motives-causes-and-purpose-in-data-science/", "published_at": "2016-09-19T21:28:44+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc297c2ae69", "title": "If you don’t pay attention, data can drive you off a cliff", "url": "https://yanirseroussi.com/2016/08/21/seven-ways-to-be-data-driven-off-a-cliff/", "published_at": "2016-08-21T21:34:17+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc298a9fe0b", "title": "Is Data Scientist a useless job title?", "url": "https://yanirseroussi.com/2016/08/04/is-data-scientist-a-useless-job-title/", "published_at": "2016-08-04T22:26:03+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc2993e272e", "title": "Making Bayesian A/B testing more accessible", "url": "https://yanirseroussi.com/2016/06/19/making-bayesian-ab-testing-more-accessible/", "published_at": "2016-06-19T10:32:15+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc299c566b9", "title": "Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions", "url": "https://yanirseroussi.com/2016/05/15/diving-deeper-into-causality-pearl-kleinberg-hill-and-untested-assumptions/", "published_at": "2016-05-14T19:57:03+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc29aa68e25", "title": "The rise of greedy robots", "url": "https://yanirseroussi.com/2016/03/20/the-rise-of-greedy-robots/", "published_at": "2016-03-20T20:33:43+00:00" }, { "id": "01a08c65-3f33-716c-b498-9bc29b6ce5f0", "title": "Why you should stop worrying about deep learning and deepen your understanding of causality instead", "url": "https://yanirseroussi.com/2016/02/14/why-you-should-stop-worrying-about-deep-learning-and-deepen-your-understanding-of-causality-instead/", "published_at": "2016-02-14T11:04:11+00:00" } ] posts Claim your blog

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yanirseroussi.com

2026

Data's hierarchy of needs revisited original ↗

31 Jul 2026

Thinking in Ecosystems: From Climate to Planetary Resilience Tech original ↗

29 Jun 2026

What is an AI/ML Success Architect?original ↗

26 Jan 2026

2025

Beyond good vibes: Securing AI agents by design original ↗

8 Aug 2025

Posting into the void – with guardrails original ↗

20 Jun 2025

2024

Data moats, stealthy AI, and more: AI Con 2024 notes original ↗

25 Nov 2024

Don't build AI, build with AI original ↗

18 Nov 2024

In praise of inconsistency: Ditching weekly posts original ↗

23 Sept 2024

Data, AI, humans, and climate: Carving a consulting niche original ↗

9 Sept 2024

Juggling delivery, admin, and leads: Monthly biz recap original ↗

2 Sept 2024

AI hype, AI bullshit, and the real deal original ↗

26 Aug 2024

Giving up on the minimum viable data stack original ↗

19 Aug 2024

Keep learning: Your career is never truly done original ↗

12 Aug 2024

First year lessons from a solo expertise biz in Data & AI original ↗

5 Aug 2024

AI/ML lifecycle models versus real-world mess original ↗

29 Jul 2024

Your first Data-to-AI hire: Run a lovable process original ↗

22 Jul 2024

Learn about Dataland to avoid expensive hiring mistakes original ↗

15 Jul 2024

Exploring an AI product idea with the latest ChatGPT, Claude, and Gemini original ↗

8 Jul 2024

Stay alert! Security is everyone's responsibility original ↗

1 Jul 2024

Five team-building mistakes, according to Patty McCord original ↗

26 Jun 2024

Is your tech stack ready for data-intensive applications?original ↗

24 Jun 2024

Dealing with endless data changes original ↗

22 Jun 2024

AI ain't gonna save you from bad data original ↗

17 Jun 2024

The rules of the passion economy original ↗

12 Jun 2024

Startup data health starts with healthy event tracking original ↗

10 Jun 2024

How to avoid startups with poor development processes original ↗

3 Jun 2024

Plumbing, Decisions, and Automation: De-hyping Data & AI original ↗

27 May 2024

Adapting to the economy of algorithms original ↗

25 May 2024

Question startup culture before accepting a data-to-AI role original ↗

20 May 2024

Probing the People aspects of an early-stage startup original ↗

13 May 2024

Business questions to ask before taking a startup data role original ↗

6 May 2024

Mentorship and the art of actionable advice original ↗

29 Apr 2024

Assessing a startup's data-to-AI health original ↗

22 Apr 2024

AI does not obviate the need for testing and observability original ↗

15 Apr 2024

LinkedIn is a teachable skill original ↗

11 Apr 2024

My experience as a Data Tech Lead with Work on Climate original ↗

8 Apr 2024

The data engineering lifecycle is not going anywhere original ↗

5 Apr 2024

Artificial intelligence, automation, and the art of counting fish original ↗

1 Apr 2024

Atomic Habits is full of actionable advice original ↗

12 Mar 2024

Questions to consider when using AI for PDF data extraction original ↗

11 Mar 2024

Two types of startup data problems original ↗

4 Mar 2024

Avoiding AI complexity: First, write no code original ↗

26 Feb 2024

Building your startup's minimum viable data stack original ↗

19 Feb 2024

The three Cs of indie consulting: Confidence, Cash, and Connections original ↗

17 Feb 2024

Nudging ChatGPT to invent books you have no time to read original ↗

12 Feb 2024

Future software development may require fewer humans original ↗

6 Feb 2024

Substance over titles: Your first data hire may be a data scientist original ↗

5 Feb 2024

New decade, new tagline: Data & AI for Impact original ↗

19 Jan 2024

Psychographic specialisations may work for discipline generalists original ↗

9 Jan 2024

The power of parasocial relationships original ↗

8 Jan 2024

2023

Positioning is a common problem for data scientists original ↗

18 Dec 2023

Transfer learning applies to energy market bidding original ↗

14 Dec 2023

Supporting volunteer monitoring of marine biodiversity with modern web and data tools original ↗

29 Nov 2023

Our Blue Machine is changing, but we are not helpless original ↗

28 Nov 2023

You don't need a proprietary API for static maps original ↗

21 Nov 2023

Lessons from reluctant data engineering original ↗

25 Oct 2023

Artificial intelligence was a marketing term all along – just call it automation original ↗

6 Oct 2023

The lines between solo consulting and product building are blurry original ↗

25 Sept 2023

Google's Rules of Machine Learning still apply in the age of large language models original ↗

21 Sept 2023

My rediscovery of quiet writing on the open web original ↗

28 Aug 2023

The Minimalist Entrepreneur is too prescriptive for me original ↗

21 Aug 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 2)original ↗

17 Aug 2023

Revisiting Start Small, Stay Small in 2023 (Chapter 1)original ↗

16 Aug 2023

Email notifications on public GitHub commits original ↗

14 Aug 2023

The rule of thirds can probably be ignored original ↗

11 Aug 2023

Using YubiKey for SSH access original ↗

23 Jul 2023

Making a TIL section with Hugo and PaperMod original ↗

17 Jul 2023

You can't save time original ↗

11 Jul 2023

Was data science a failure mode of software engineering?original ↗

30 Jun 2023

How hackable are automated coding assessments?original ↗

26 May 2023

Remaining relevant as a small language model original ↗

21 Apr 2023

2022

ChatGPT is transformative AI original ↗

11 Dec 2022

Causal Machine Learning is off to a good start, despite some issues original ↗

12 Sept 2022

The mission matters: Moving to climate tech as a data scientist original ↗

6 Jun 2022

Building useful machine learning tools keeps getting easier: A fish ID case study original ↗

20 Mar 2022

Analysis strategies in online A/B experiments: Intention-to-treat, per-protocol, and other lessons from clinical trials original ↗

14 Jan 2022

2021

Use your human brain to avoid artificial intelligence disasters original ↗

22 Nov 2021

Migrating from WordPress.com to Hugo on GitHub + Cloudflare original ↗

10 Nov 2021

My work with Automattic original ↗

7 Oct 2021

Some highlights from 2020 original ↗

5 Apr 2021

2020

Many is not enough: Counting simulations to bootstrap the right way original ↗

24 Aug 2020

Software commodities are eating interesting data science work original ↗

11 Jan 2020

2019

A day in the life of a remote data scientist original ↗

11 Dec 2019

Bootstrapping the right way?original ↗

6 Oct 2019

Hackers beware: Bootstrap sampling may be harmful original ↗

7 Jan 2019

2018

The most practical causal inference book I’ve read (is still a draft)original ↗

24 Dec 2018

Reflections on remote data science work original ↗

3 Nov 2018

Defining data science in 2018 original ↗

22 Jul 2018

2017

Advice for aspiring data scientists and other FAQs original ↗

15 Oct 2017

State of Bandcamp Recommender, Late 2017 original ↗

2 Sept 2017

My 10-step path to becoming a remote data scientist with Automattic original ↗

29 Jul 2017

Exploring and visualising Reef Life Survey data original ↗

3 Jun 2017

Customer lifetime value and the proliferation of misinformation on the internet original ↗

8 Jan 2017

2016

Ask Why! Finding motives, causes, and purpose in data science original ↗

19 Sept 2016

If you don’t pay attention, data can drive you off a cliff original ↗

21 Aug 2016

Is Data Scientist a useless job title?original ↗

4 Aug 2016

Making Bayesian A/B testing more accessible original ↗

19 Jun 2016

Diving deeper into causality: Pearl, Kleinberg, Hill, and untested assumptions original ↗

14 May 2016

The rise of greedy robots original ↗

20 Mar 2016

Why you should stop worrying about deep learning and deepen your understanding of causality instead original ↗

14 Feb 2016