NLP nerd

Willing to create a twitter account on NLP | Lead ML Scientist at | Host of

[NLP nerd @NLP_nerd]

The Art of Clustering: The Good, The Bad and The Beautiful by Seth Levine https://t.co/XFN46uuOdt

Why LLMs are not your one stop shop for figuring out what’s in the data #datascience #clustering

[NLP nerd @NLP_nerd]

https://t.co/MyhyVb7iev
If you need to understand a large dataset, LLMs should not be your first stop #datapattern #MachineLearning #ai

[NLP nerd @NLP_nerd]

https://t.co/96I1i77iSM Some meetings may be hurting more than helping. Get out of meetings and into your product. 🙊Follow @lmoroney advice “Move Fast and Make Things” and be sure to listen to your customers more because according to @l2k entrepreneurs are not doing it enough

[Leland McInnes @leland_mcinnes]

EVoC is a library designed specifically for fast clustering of high dimensional embedding vectors. It can produce high quality clusters extremely efficiently, and requires little to no hyperparameter tuning.
Better clustering than UMAP + HDBSCAN; faster clustering than KMeans.

[Ihtesham Ali @ihtesham2005]

I accidentally discovered how to compress a semester of learning into 48 hours.

A grad student at MIT showed me his NotebookLM setup. I thought he was just organized. Then I watched him pass a qualifying exam on a subject he'd never studied before.

Here's exactly what he did:

First: he didn't upload a textbook.

He uploaded 6 textbooks, 15 research papers, and every lecture transcript he could find on the subject.

Then he asked NotebookLM one question:

"What are the 5 core mental models that every expert in this field shares?"

Not "summarize this." Not "explain this topic."
Mental models. The stuff that takes professors years to develop.

But the next part is what broke my brain.

He followed up with:

"Now show me the 3 places where experts in this field fundamentally disagree, and what each side's strongest argument is."

In 20 minutes he had a map of the entire intellectual landscape of the field:
the debates, the consensus, the open questions.

Most students spend a full semester just figuring out what those debates even are.

Then he did something I've never seen before.

He asked:

"Generate 10 questions that would expose whether someone deeply understands this subject versus someone who just memorized facts."

He spent the next 6 hours answering those questions using the source material. Every wrong answer triggered a follow-up:

"Explain why this is wrong and what I'm missing."

By hour 48, he could hold a conversation with his thesis advisor without getting destroyed.

The tool didn't change. The questions did.

Most people treat NotebookLM like a fancy highlighter.
These students are using it like a private tutor who has read everything ever written on the subject.

The difference between a semester and 48 hours isn't the amount of content.

It's knowing which questions to ask.

[Ben Tossell @bentossell]

https://t.co/Ref8GgkIR5

[NLP nerd @NLP_nerd]

@Wisdom_HQ Lover becomes stranger

[NLP nerd @NLP_nerd]

@karpathy Hi @karpathy this is so on point - Different optimization pressures -> fundamentally different types of intelligence. You might like my "Discourse on Darwin's Descent" https://t.co/f1qhOvf7nJ

[NLP nerd @NLP_nerd]

The Killer App That Made Apple II Successful #computing History Learning from Machine Learning https://t.co/fC7hYHY0b7 #Automation

[NLP nerd @NLP_nerd]

@DanB: Lessons from Building the First Killer App | Learning from Learning
Breakthrough innovation must be 100x better.

https://t.co/Tsq9QonWCF

We never know the full impact of what we build. Sometimes it can change someone's life in ways you never imagined.. tune in now 🎥

[NLP nerd @NLP_nerd]

The Generative AI Divide: Why AI Demos Impress but AI Products Disappoint https://t.co/pLWc6CO6Os #AI #LLMs #GenerativeAI

[Leland McInnes @leland_mcinnes]

I'll be giving a talk about DataMapPlot at SciPy this year. Learn how to make the most of your data maps.

https://t.co/n5QQk4Ride

[NLP nerd @NLP_nerd]

@paulg Why would you say it’s happening now?

[NLP nerd @NLP_nerd]

@l2k Lukas Biewald | “You think you're late, but you're early”🔥 New episode of Learning from Machine featuring @wandb CEO!

Full episode available now: https://t.co/HGTtbb9kXw
💥

[NLP nerd @NLP_nerd]

@l2k Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning | @wandb https://t.co/vlbJW8S16f

[NLP nerd @NLP_nerd]

We've fallen into a linguistic trap saying AI models "understand" and "reason." This anthropomorphizing is dangerous—we overestimate their flexibility while missing their actual superpowers: processing vast information and spotting patterns humans can't.
https://t.co/OeYpNCB6gA

[NLP nerd @NLP_nerd]

Why I Never Skip Data Visualization (Even When Automating Everything) https://t.co/TMCLYmvyz2

[NLP nerd @NLP_nerd]

Thinking beyond Transformers | Learning from Machine Learning featuring @maximelabonne https://t.co/p4WoiCS2oy
Key learnings:
-Transformers aren't the end game
-Data quality remains unsolved
-UI design shapes AI interaction

Real learning happens in production, not benchmarks

[NLP nerd @NLP_nerd]

https://t.co/nidNSXxbB0 We process physical reality, experience subjective consciousness, and actively shape cultural evolution. This interactive participation may be the key to understanding not just consciousness, but the future relationship between humans and AI