In the spotlight
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.
Matt Crabtree
August 4, 2026
Most recent
GPT-6.1 Sol: Features, Benchmarks, Pricing, and Access
September 29, 2026
OpenAI Dots: Always-On Agents in ChatGPT, Explained
September 29, 2026
Jev: TypeSafe's System One Model That Never Hallucinates
September 16, 2026
Training 2 or more people?Try DataCamp for Business
Trending
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.
Javier Canales Luna
June 3, 2026
Matt Crabtree
Adel Nehme
May 25, 2026
Adel Nehme
Matt Crabtree
May 11, 2026
Elena Kosourova
April 30, 2026
Abid Ali Awan
February 27, 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.
Tom Farnschläder
August 8, 2026
All posts
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
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
September 29, 2026
OpenAI Dots: Always-On Agents in ChatGPT, Explained
OpenAI's dots are always-on agents powered by GPT-6 Astra, with their own cloud computer, plugin access to over 4,000 apps, and a first dot included on Pro and Business Premium plans.
Matt Crabtree
September 29, 2026
Claude Sonnet 5.5: Features, Benchmarks, Pricing, and More
Anthropic's new mid-tier model edges past Opus 5.5 on terminal coding, lands within a few points elsewhere, and keeps Sonnet 5's $2/$10 pricing.
Josef Waples
September 28, 2026
10 Best Free AI Voice Generators to Try in 2026
Discover the best free AI voice generators for realistic text-to-speech, voiceovers, podcasts, videos, and voice cloning, with free-plan limits compared.
Laiba Siddiqui
September 25, 2026
Best LLM for Coding in 2026: 9 Models Ranked
We rank the 9 best coding LLMs of September 2026, from Claude Opus 5.5 to open-weight models you can run locally, using SWE-bench Pro and Terminal-Bench.
Tim Lu
September 25, 2026
The Best AI Engineering Courses to Take in 2026: A Complete Guide
Compare 32 AI engineering courses for 2026, from the OpenAI API and RAG to AI agents, fine-tuning, LLMOps, and AI coding tools like Claude Code and Copilot.
Tom Farnschläder
September 25, 2026
The Best Claude Courses in 2026
The best Claude courses for beginners, Claude Code, agent skills, the Anthropic API, MCP and Claude Cowork, including free courses created by Anthropic.
Josef Waples
September 24, 2026
Top 7 Open-Source TypeSafe Jev Alternatives
Explore a new wave of open-source projects offering practical Jev alternatives for fast, local, and cost-efficient AI decision-making.
Abid Ali Awan
September 23, 2026
GPT-6 Sol vs Claude Opus 5.5: Benchmarks, Pricing, and Which to Use
Two same-day efficiency releases, priced two to one. We compare GPT-6 Sol and Claude Opus 5.5 on benchmarks, real workload costs, access, and a hands-on Tetris build.
Tom Farnschläder
September 23, 2026
GPT‑6 Sol and Luna: Bringing Astra's Capabilities Down-Market
OpenAI expands its GPT‑6 lineup with two lower-cost models that claim near-Astra performance in coding, accuracy, and business tasks.
Josef Waples
Tom Farnschläder
September 23, 2026
The History and Evolution of Large Language Models: From ELIZA to AI Agents
In 1966, the chatbot ELIZA could do little more than rephrase a user’s statements as questions. Sixty years later, large language models can plan, write code, and use tools on their own. Here, we will walk through the history of LLMs across 8 eras, and what each breakthrough actually changed.
Vaibhav Mehra
September 22, 2026