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Get the most out of each coding model to have a very powerful coding setup The post How to Combine Claude Code and Codex for Maximum Coding Power appeared first on Towards Data Science.
Windborne Systems' newest weather forecasting model beats the best government predictions by days.
Research projects in the age of AI The post It’s the Lessons We Learned Along the Way. Or, Is It? appeared first on Towards Data Science.
I need help if anyone can help me i will send you my code. I am new to the ai space. DeepLearning.AI - Learning Platform Machine Learning Specialization - DeepLearning.AI deeplearning.ai learning platform 1 post - 1 participant Read full topic
The Expertise Paradox: Seeing Differently, Not Just Knowing More Research across domains reveals a consistent pattern: experienced practitioners recognize situations in milliseconds, not through faster thinking but through trained perception. Firefighter Commanders: 80% of fireground decisions happe
Claude Code — My daily dev tool Claude Code by Anthropic is the one I use the most for development, by far. What sets it apart from the others: it integrates directly into the terminal and editor, it can read and modify files, navigate an entire codebase, and understand the global context of the pro
RecursiveMAS (arXiv 2604.25917) showed that agents sharing internal reasoning state outperform agents that share only final outputs. The average accuracy gain across benchmarks was 8.3 points. The mechanism: each agent passes not just its answer but the latent embeddings from its own reasoning proce
A few months ago a friend showed me two tools — Repomix and code2prompt. The idea was simple: point them at your project folder, they package everything into one file, you paste it into an LLM and ask questions about your whole codebase at once. For his pure Python projects they worked great. I was
Every AI Portfolio Looks the Same Right Now A RAG chatbot. Hiring managers see hundreds of them every week. They're not impressed — they've already seen the tutorial you followed. What they're actually looking for is evidence that you can: Take a vague brief Figure out what to build Scope a v1 Ship
AI coding agents are stateless between sessions. Every time you start a new session, the agent knows nothing about what you built yesterday, why you made certain decisions, or what you explicitly decided to stop doing. You write a CLAUDE.md by hand, it goes stale after a few sessions, and you spend
How Knives Out teaches Bayesian thinking (without you realizing it) The post Solving a Murder Mystery Using Bayesian Inference appeared first on Towards Data Science.
On the latest episode of Equity, we debate whether tech CEOs are "uniquely prone to AI psychosis."
I'm surprised how good the setup turned out to be.
Earlier this month, I finally achieved the elusive goal I had set for myself in Bungie's Marathon. I collected six of the game's rarest items, allowing me to attempt and then successfully clear the raid-style Compiler boss. I felt a massive weight lift off my shoulders - nearly 185 hours of playtime
I want to make a claim that might age badly, and I'm making it anyway. Something is quietly happening to developers right now What forgetting actually looks like You paste a problem into ChatGPT before sitting with it for even two minutes That last one is the one that should worry you. If you can't
"A language model that answers questions is a tool. A language model that decides which questions to ask and then acts on the answers is something else entirely." For the first several years of modern NLP, the task was always the same: given input, produce output. One forward pass. One completion. D
I’ve spent a lot of time lately thinking about why some LLM agents feel "intelligent" while others just feel like chatbots with a slightly better prompt. It almost always comes down to how the system handles memory. When we treat the context window as the only place for state, we hit a ceiling very
This is a submission for the Hermes Agent Challenge: Write About Hermes Agent In the last two years, “AI agents” went from experimental repos to full ecosystems. Now we have: AutoGPT spawning autonomous loops CrewAI orchestrating multi-agent teams OpenAI Agents offering structured tool execution Her
Most "bad AI answers" aren't a model problem. They're a prompt problem. You type something like: fix the auth bug …and the model fires back three clarifying questions, or confidently fixes the wrong thing. So you rephrase, retry, and lose ten minutes per task. The gap between what you mean and what
It started as a philosophical exercise. A friend and I were debating how to test AI-generated code, and we ended up building a five-layer framework for thinking about what AI can and cannot replace. You can read that chain in my previous post. But as we were mapping out the layers, something practic
