タグ: anthropic

Claude Cowork costs between $100 and $200 per month for meaningful use, requires the Claude Desktop app, and grants AI full access to your file system. In early 2026, a venture capital founder named Nick Davidov asked Cowork to tidy his wife’s desktop, and the AI deleted 15 years of family photos within minutes. That story, shared on LinkedIn and covered widely, became one of the most-shared AI incidents of the year and a clear signal that many people need a simpler, safer path to AI productivity. The good news is that you do not need a desktop AI agent to get help with PDFs, presentations, spreadsheets, and writing. Whether […]

Claude Mythos is Anthropic’s most powerful AI model ever built. Here’s everything we know about the leaked model, its capabilities, the Capybara codename, and when you can use it.

Microsoft PowerPoint now comes with Microsoft Copilot built in, an AI assistant that can generate slides, create charts, and redesign entire decks. The catch? Copilot costs $21/user/month on top of your existing Microsoft 365 subscription, and the standard tier still has real limitations with complex layouts and custom templates. For most people, that is a lot to pay for AI slide generation. The best AI tool to pair with PowerPoint right now is Fello AI. For $9.99/month, it creates fully formatted .pptx files directly from a chat conversation, gives you access to GPT-5.4, Claude, and Gemini in one app, and works on Mac, iPhone, and iPad. You describe the presentation […]

Claude can now take control of your Mac, clicking buttons, typing text, opening apps, and completing tasks on your screen while you step away. Anthropic launched Claude computer use on March 23, 2026 as a research preview for Pro and Max subscribers, and it changes how you interact with AI. The company announced the feature alongside Dispatch, its new phone-to-desktop task delegation system. Instead of copying and pasting between Claude and your apps, you simply tell Claude what you need done, and it does the work directly on your desktop. This isn’t a gimmick or a developer-only tool. Whether you’re a student juggling research papers, a marketer managing campaigns across […]

Most Claude Code users discover skills by accident. Someone mentions a /skill-name command, it works brilliantly, and suddenly they want more. What most guides miss is that the best Claude Code skills depend entirely on what you actually do. A developer, a teacher, and an ops manager all have very different workflows, and the skill that saves one of them hours a week might be completely useless to the others. This guide covers the best Claude Code skills by use case, starting with the built-in skills you already have and may not know about, then moving into the top picks for developers, teachers and students, document workers, writers, business teams, […]

Anthropic officially released Claude Sonnet 4.6 on February 17, 2026, delivering what might be the most aggressive value proposition in AI history: Opus-level performance at Sonnet prices. This isn’t just a speed bump; it is a full upgrade across coding, computer use, long-context reasoning, agent planning, and design. With a massive 1 million token context window and “hybrid reasoning” capabilities, Sonnet 4.6 aims to make the trade-off between cost and intelligence a thing of the past. If you are a developer, creator, or business owner, the question isn’t just “what changed?” – it’s “why am I still paying for more expensive models?” You can see how it stacks up against […]

On February 5, 2026, Anthropic released Claude Opus 4.6 — the latest and most capable model in its Claude lineup. Arriving just three months after Opus 4.5, this release brings a 1-million-token context window to the Opus family for the first time, introduces collaborative agent teams in Claude Code, and delivers benchmark results that put it ahead of GPT-5.2 and Gemini 3 Pro across most evaluations. But the headline number that caught the industry’s attention wasn’t a benchmark score. It was 500 — the number of previously unknown security vulnerabilities Opus 4.6 discovered in open-source code during pre-release testing, with little to no human prompting. This article breaks down everything […]

You probably have one of the most powerful productivity tools ever created sitting right in your pocket – artificial intelligence. Whether it’s ChatGPT, Google’s Gemini, or any other AI assistant, these tools can handle tasks that would normally take you hours. Yet most people try them once or twice, get disappointing results, and give up thinking AI isn’t worth the hype. If you’ve asked ChatGPT to “help with work stuff” or “how to make my life easier” and received generic, unhelpful responses, you’re not alone. The reason is that these tools need specific, well-structured instructions to give you genuinely useful results. Ask vaguely, and you’ll get vague answers. Ask specifically, […]

TL;DR: In January 2026, there isn’t one “best” AI for everything. On LMArena’s Text leaderboard, Gemini 3 Pro leads user-preference rankings, while the updated Artificial Analysis Intelligence Index v4.0 reports GPT-5.2 (with extended reasoning) as the top overall benchmark performer. Choose based on your task: Gemini for daily assistance, Claude for coding, and GPT-5.2 for complex reasoning. Best AI of January 2026 — Quick Picks (ranked by use case) Use case #1 pick (model) Primary signal (ranking) Corroboration (2nd signal) Last updated (primary) Why it wins Best overall (preference) Gemini 3 Pro LMArena Text #1 Also ranks in the top tier (Top 3) of Artificial Analysis’s v4.0 competitive benchmark set […]

Large language models like ChatGPT, Gemini, Claude or Grok feel magical when they work—and deeply frustrating when they don’t. Sometimes they produce shockingly good code, clean explanations, or thoughtful strategy. Other times they hallucinate facts, ignore constraints, or give answers that sound confident but fall apart on inspection. This inconsistency has led many people to believe one of two things: Engineers inside OpenAI, Anthropic, and Google DeepMind know the real answer is different. The biggest gap between good and bad AI output is how you talk to the model. Engineers in these companies use 10 internal prompting techniques that guarantee near-perfect accuracy. In this article, we’ll go through: How LLMs Actually “Think” Large language models […]