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How to Learn Claude: A Complete Guide From Beginner to Pro

Discover how to learn Claude. This guide takes you through a structured Claude learning path, from mastering the basics to using advanced features.

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Matt Crabtree

August 4, 2026

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Gemini 4 Argon: Features, Benchmarks, Pricing, and Access

September 30, 2026

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The Top 11 ChatGPT Alternatives You Can Try in 2026

A practical guide to 11 ChatGPT alternatives in 2026, with use-case guidance for research, coding, productivity, and data science.
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Javier Canales Luna

June 3, 2026

How to Learn Python From Scratch in 2026: An Expert Guide

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Matt Crabtree

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Adel Nehme

May 25, 2026

Claude Cowork Alternatives: 8 Agentic Tools Compared on Price, Cloud Execution, and Model Choice

Claude Cowork is locked to Claude models, and its run-in-the-cloud mode is still in limited beta. I compared 8 alternatives, from ChatGPT Work to self-hosted agents you run with your own API keys.
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Tom Farnschläder

August 8, 2026

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OpenAI’s AI Math Breakthroughs: What the Latest Results Mean

Explore OpenAI’s latest AI-generated mathematics results, the biggest discoveries, how the proofs were verified, and what they could mean for mathematicians and scientific research.
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Vinod Chugani

October 8, 2026

What Is Embodied AI? How Robots Learn to Sense, Think, and Act in 2026

Learn what embodied AI is, how it differs from LLMs, how the perception-reasoning-action loop works, and why sim-to-real training matters for data scientists.
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Vaibhav Mehra

October 7, 2026

Claude Haiku 5.5: Features, Pricing, and a Hands-On Test

Anthropic's new small model costs $0.10 / $0.50 per million tokens, closes much of the gap to Sonnet on agentic work, and matched Haiku 4.5's perfect score in our test for a fraction of the cost.
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Josef Waples

October 7, 2026

On-Premises vs. Cloud: Key Differences, Pros, Cons, and Use Cases

On-premises and cloud infrastructure each come with their own trade-offs around cost, scalability, control, and maintenance, and the right choice depends on what a given workload actually needs.
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Dario Radečić

October 6, 2026

What Are Tabular Foundation Models? How TabPFN, TabICL, and TabFM Predict Without Training

Learn what tabular foundation models are, how in-context learning works, and when TabPFN or TabICL beat XGBoost on structured data, with a decision framework.
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Vaibhav Mehra

October 6, 2026

Beam: Reflection AI's 501B Open-Weight Coding Model

Reflection AI's Beam matches GLM 5.2 on reasoning with 3-4x less compute, but trails Kimi K3 on agentic coding. Here's how Reflection AI's open-weight model performs.
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Matt Crabtree

October 6, 2026

Kolibri 1: Aleph Alpha's Sovereign Open-Weight LLM

Aleph Alpha has released Kolibri 1, a 78B mixture-of-experts model with 3.46B active parameters, Apache 2.0 weights, and a 1M-token context, trained from scratch in Germany.
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Matt Crabtree

October 5, 2026

Gemini 4 Argon vs. GPT-6 Astra: Benchmarks, Pricing, and Which to Use

Google's table puts Gemini 4 Argon ahead of GPT-6 Astra on legal, finance, and long-context work at a fifth of the price. Astra still leads hard coding and is the one you can use.
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Josef Waples

October 1, 2026

GPT-6.1 Sol vs. Claude Opus 5.5: Benchmarks, Pricing, and Which to Use

OpenAI's charts show GPT-6.1 Sol winning on cost per task, while Opus 5.5 keeps the higher ceiling at max effort. Here's how to pick.
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Josef Waples

October 1, 2026

Gemini 4 Argon: Features, Benchmarks, Pricing, and Access

Google's new frontier model leads on enterprise knowledge work and real-world software engineering, ships with a 1M output token limit, and goes to cyber defenders first.
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Matt Crabtree

September 30, 2026

GPT-6.1 Sol vs Claude Sonnet 5.5: Benchmarks, Pricing, and a Hands-On Test

Same list price, different fine print. We compare GPT-6.1 Sol and Claude Sonnet 5.5 on benchmarks, cache and long-context costs, cloud access, and a hands-on coding test.
Matt Crabtree's photo

Matt Crabtree

September 30, 2026

GPT-6.1 Sol: Features, Benchmarks, Pricing, and Access

OpenAI's GPT-6.1 Sol claims GPT-6 Astra-level capability at a fifth of the task cost, with a 1,050,000-token context window and $2/$10 per million token pricing.
Matt Crabtree's photo

Matt Crabtree

September 29, 2026