Towards Data Science
Aug 14
A Day in the Life of a Data Scientist in 2026
How AI has massively changed my day-to-day workflow The post A Day in the Life of a Data Scientist in 2026 appeared first on Towards Data Science .
Note on 18th September 2026
Simon Willison reflects on his current disinterest in large language models (LLMs), comparing it to a geneticist dismissing the newly opened Jurassic Park. He emphasizes that this stance feels odd given the excitement surrounding LLMs. The note highlights his personal stance on AI and generative‑AI topics.
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Towards Data Science
Aug 24
Can an LLM Forget the Right Things?
The article discusses a specialized LLM inference runtime designed for real-time applications, such as a 33 ms robot control cycle. Unlike typical runtimes that ignore physical deadlines, this system refuses new requests when the deadline is at risk, evicts key‑value cache entries based on meaning rather than age, and is implemented entirely in hand‑written CUDA without relying on cuBLAS or libtorch.
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LLM Research Papers: The 2026 List (January to May)
A curated roundup of notable LLM research papers that came out this year
Towards Data Science
Aug 5
Is This Slop? Detecting AI-Generated Content Without a Model
Research-backed cues to detect LLM-generated text along with the mathematical intuition as to 'why' The post Is This Slop? Detecting AI-Generated Content Without a Model appeared first on Towards Data Science .
Simon Willison
Sep 24
Note on 24th September 2026
Simon Willison reflects on his experience with coding agents, noting that while they enable impressive feats, they also complicate software engineering. He emphasizes that fully harnessing their capabilities demands exceptional discipline and deep knowledge. The article highlights the dual nature of coding agents as both powerful tools and challenging additions to development workflows.
Towards Data Science
Sep 1
5 AI Skills That Will Keep Data Scientists Relevant in 2027
The article titled "5 AI Skills That Will Keep Data Scientists Relevant in 2027" outlines five specific AI competencies, explaining what each skill addresses and providing runnable code snippets that readers can directly paste into a notebook. It serves as a practical guide for data scientists aiming to stay current with emerging AI technologies.
Towards Data Science
Jun 27
How to Build a Powerful LLM Knowledge Base
Use coding agents to power your knowledge base The post How to Build a Powerful LLM Knowledge Base appeared first on Towards Data Science .
Sebastian Raschka
Jul 1, 2025
LLM Research Papers: The 2025 List (January to June)
A topic-organized collection of 200+ LLM research papers from 2025
Towards Data Science
Jun 23
The Era of No-Code AI: What You Need to Know
If you are a programmer and you don't feel "special" anymore, you are not alone The post The Era of No-Code AI: What You Need to Know appeared first on Towards Data Science .
Towards Data Science
Sep 25
10 Things I’m Learning Beyond AI to Become More Technologically Fluent
The article titled "10 Things I’m Learning Beyond AI to Become More Technologically Fluent" discusses the author's exploration of various technologies that are shaping the future, beyond just artificial intelligence. It is presented as part one of a series, focusing on understanding these emerging technologies and their impact.
Import AI
Aug 17
Import AI 469: Science AI; RSI simulator; and Zuck's technological pessimism
The new frontier of AI is developing capable autonomous researchers
Sebastian Raschka
Dec 30, 2025
LLM Research Papers: The 2025 List (July to December)
In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers who make this Substack possible.