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Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…

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In Science, researchers report the observation of dendritic nanotubes in brain tissue from mice and humans. The discovery suggests that the current understanding of the brain’s organization may be incomplete, overlooking a hidden layer of connectivity. Learn more in a new…

The attached picture is the simplest explanation of Machine Learning I've seen. In the regular world of writing code to solve problems, programmers write rules and apply them to data to produce the answers they need. Sometimes, writing those rules is really difficult. For…

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K-means is one of the most powerful algorithms for data scientists. But it's confusing for beginners. Let's fix that:

Linear Algebra taught me structure Probability taught me intuition soon, I'll start Calculus… let’s see how deep the ML rabbit hole goes🧠⚡️

Excel & SQL For Data Analysts But here’s the secret 🤫 I’ve compiled 1000+ Programming Notes (DSA, SQL, Excel, Python & more) to help you level up your coding journey 🚀 To get it 👇 1️⃣ Follow me (so I can DM you) 2️⃣ Repost this post 🔁 3️⃣ Comment #programming 💻 #sql #excel…

🛠️ How to Train Your Own LLM — The Real Process, Step by Step Everyone talks about training models from scratch, but few explain what it actually takes. Here’s the real workflow and why most teams end up fine-tuning instead. 👇 A must-read for teams thinking about going deep…

Most researchers still struggle w/ transparency. Over 70% of scientists can’t reproduce others’ results because data is often locked, inconsistent, or unverifiable. Elina Beaupré’s latest piece breaks down how @codatta_io decentralized framework brings clarity back to academia…

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One thing my data journey keeps teaching me is to read documentation If you’re just starting out in data analytics, data engineering or any tech career, please learn to read documentation. It’s a skill that will save you more time and frustration than you can imagine.

Everyone learns at their own pace. Some prefer visual memorization, others rely on logical deduction, and some rely more on verbal cues. We don't want AI to teach you "how to learn," but to teach you how to learn. #AITutoring

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