Claude is a beast at generating code—no doubt. But if you expect perfect, secure, production-ready code on the first try… you're dreaming. Most of us learn this the hard way, burning hours fixing things that should have been simple. I’ve been in the trenches with Claude
A few months ago, I made the switch from Apple Notes to Noteplan for several compelling reasons. One of the features I’ve come to appreciate most is its native support for Markdown. Noteplan also offers a variety of AI-powered tools for writing and searching within a single document. However,
The AI ecosystem has exploded since the release of ChatGPT, and fortunately, the open-source community around AI and LLMs has blossomed right alongside it. These open models have achieved groundbreaking performance, often competing head-to-head in benchmarks with leading commercial models from giants like Anthropic and OpenAI. However, achieving this level
For years, identifying AI-edited images has been a game of cat and mouse. We’ve all seen it—the obviously fake celebrity deepfakes that looked a bit 'off,' the AI-generated art with six-fingered hands, or even simple Photoshop edits where a warped background gave the manipulation away. However,
It feels like generative AI is everywhere you look, doesn't it? These tools are popping up and helping us with everything from writing emails to creating amazing images. But as this technology spreads, a big question is starting to bubble up: Are we all starting to sound... the
In early 2023, a common belief in the tech industry was that Google was falling behind in the artificial intelligence race. With the public success of ChatGPT, many media outlets, including a Wall Street Journal podcast, highlighted that Google, a long-time pioneer in AI, appeared to have been "beat
Apify has just launched a native node for n8n, transforming the entire web into your personal box of Legos. With a library of over 6,000 Actors, you can now drag and drop any piece of web data directly into your workflows, building powerful automations as easily as snapping bricks
I've previously explored the impressive, and often underestimated, capabilities of frontier models like Claude to generate vast amounts of text. We're talking about outputs of up to 128,000 tokens, which translates to roughly 96,000 words. This incredible feature allows for ambitious projects, such as
Remember those schoolyard days when a simple taunt like "you're slow" or "you're boring" could provoke a strong reaction? It turns out that this kind of provocation doesn't just get under the skin of children and adults; it can also
