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What language and framework works best for you in vibe coding? I was using Java script and python, and they play well. What is your experience? submitted by /u/MarxN [comments] Source link

The 50 best Amazon Big Spring Sale deals under $100

We’re well aware of the current financial climate here at The Verge, so we’re highlighting some of our favorite budget-friendly picks alongside the best deals overall. These are gadgets and gizmos that are cheap-ish in price but not in quality. In fact, many of the items featured below, all of which can be had for $100 or less, are some of the best available. What’s more, many of them don’t require you to sign up for Amazon Prime, meaning everybody can join in on the savings. Headphone and earbud deals Source link

Gemini 2.5 Pro is now free to all users in surprise move

Earlier this week, Google unveiled Gemini 2.5, the company’s most advanced AI model to date, with integrated thinking capabilities. It is capable of analyzing complex information with contextual nuance to draw logical conclusions with more accuracy than ever. As users have come to expect, this new model was initially exclusive for those willing to pay $20 per month for Gemini Advanced membership. But less than a week later, Google has surprised everyone by making it immediately available to free users too. Gemini 2.5 Pro is taking off 🚀🚀🚀The team is sprinting, TPUs are running hot, and we want to get

React 19 Memoization: Is useMemo & useCallback No Longer Necessary?

React 19 Brings Automatic Optimization For years, React developers have relied on useMemo and useCallback to optimize performance and prevent unnecessary re-renders. However, React 19 introduces a game-changing feature: the React Compiler, which eliminates the need for manual memoization in most cases. In this article, we’ll explore how memoization worked before React 19, how the new React Compiler optimizes performance, and when (if ever) you still need useMemo and useCallback. The Problem with Manual Memoization What is Memoization in React? Memoization is a performance optimization technique that caches the results of expensive function calls, preventing redundant calculations when the same

Turnitin and AI in morocco

Hey guys, I am writing my master’s thesis and since time is a bit not in my advantage, I use copilot to help me paraphrase or reformulate things for me, i give it the source text… now the professor told us that she will check for plagiat with Turnitin or whatever other academic plagiat detecting programs… my question is would this software detect the text i made with the help of AI ? submitted by /u/oumyessy [comments] Source link

Google’s new experimental AI model, Gemini 2.5 Pro, is now available to free users too

Non-paying Gemini users can now play around with Google’s newest model, the experimental version of Gemini 2.5 Pro. The company this weekend that it’s making Gemini 2.5 Pro (experimental) free for everyone to use, albeit with tighter rate limits for non-subscribers. Google , touting it as its “most intelligent AI model” yet, and rolled it out to Gemini Advanced users first. It’s available now in Google AI Studio and the Gemini app. While free users can now try it out too, Google added that “Gemini Advanced users have expanded access and a significantly larger context window.” Gemini 2.5 Pro (experimental)

NYT Strands hints and answers for Monday, March 31 (game #393)

Looking for a different day? A new NYT Strands puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Sunday’s puzzle instead then click here: NYT Strands hints and answers for Sunday, March 30 (game #392). Strands is the NYT’s latest word game after the likes of Wordle, Spelling Bee and Connections – and it’s great fun. It can be difficult, though, so read on for my Strands hints. Want more word-based fun? Then check out my NYT Connections today

Fine-tune BERT, XLNet and GPT-2 · Explosion

Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy, via a new interface library we’ve developed that connects spaCy to Hugging Face’s awesome implementations. In this post we introduce our new wrapping library, spacy-transformers. It features consistent and easy-to-use interfaces to several models, which can extract features to power your NLP pipelines. Support is provided for fine-tuning the transformer models via spaCy’s standard nlp.update training API. The library also calculates an alignment to spaCy’s linguistic tokenization, so you can relate the