Why AI Lies Without Knowing It’s Lying | Victor Amit
Understanding Hallucinations, False Confidence, Statistical Prediction, and the Engineering Gap Between Plausibility and Truth A developer asks an a…
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RL 2: The first physical and computational RL machines(1948–1954)
Blog 1 established the rules of learning from biology. This era asked the harder question: can we build a machine that actually does it? And so, in…
Every Greedy Metric Said the Model Was Improving. Then pass@64 Fell From 0.83 to 0.19
Every number we watched said the run was working. Correct-per-sample probability tripled. The greedy accuracy curve was climbing. By the numbers on…
RL 1: Biological foundations and the "Law of Effect" (1898– 1949)
Before GPUs. Before neural networks. Before transistors were even a rumor. There was a hungry cat in a wooden crate, trying to get to a piece of fis…
Generative Modeling: From Data Distributions to Deep Generative Models
If you approach generative models as ""networks that create images,"" the field quickly turns into a collection of disconnected architectures. A mor…
My Model Had 100% Recall — Then I Realized It Was Predicting "Exoplanet" for Everything
A few months ago, I set out to build a model that detects exoplanets from stellar brightness data (light curves) collected by NASA's Kepler telescop…
I Implemented the Algorithm Behind ChatGPT From Scratch - Day 8 (PPO).
SERIES: Learning RL and JAX in Public - from zero to DeepMind :) When people ask "how was ChatGPT trained?", the answer usually involves RLHF - Rein…
How Transformer Decoders Generate Text — From Causal Masking to Decoding
A Transformer Decoder does not generate a sentence all at once. It predicts one token. Then it feeds that token back and predicts the next one. That…
A11: A Structural Answer to AI Collapse
Modern AI models are becoming increasingly powerful, but their growing capabilities come with rising risks of degradation: the loss of rare patterns…
NVIDIA Cosmos 3: Unifying Physical AI Reasoning and Generation with Two-Tower Architecture
Training a robot to pick up an object sounds simple until you realize how many separate systems are involved: a vision model to understand the scene…
NVIDIA Cosmos 3: How a Two-Tower Architecture Unifies Physical AI Reasoning and Generation
Training a robot to pick up an object sounds simple until you realize how many separate systems are involved: a vision model to understand the scene…
AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent
Inside AlphaEvolve: How Neural Networks and Evolutionary Algorithms Are Self-Optimizing Software For several years, the role of Artificial Intellige…
Handling Non-Stationary Time Series: Building a Probabilistic Engine with XGBoost & Python
If you have ever tried to apply Machine Learning to financial time series, you know the heartbreak of the "perfect backtest." You build a model, tra…
Generation 1 — Standalone Models (2018–2022)
The Foundation of Modern AI Systems When people think of tools like ChatGPT, they often assume the intelligence comes from a single powerful system…
Removing PER From Rainbow DQN Set a New Snake AI World Record
Greetings all! Quick context: this is part of an ongoing series where I'm building Rainbow DQN one component at a time on Snake and measuring what e…
Did My LoRA Learn Tenacious Style—or Just Memorize Augmented Patterns?
In Week 11 Tenacious-Bench, we trained a LoRA adapter on Tenacious-style B2B sales emails using Supervised Fine-Tuning (SFT). We got a real performa…
🌿 Plant Disease Detection System
Agriculture is the backbone of many economies, yet plant diseases continue to cause massive crop losses every year. What if farmers could detect dis…