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I use AI a lot. But if I’m being honest, most of the time it feels like working with a brilliant intern who never actually touches the keyboard. It tells me what to do, suggests steps, and even drafts the perfect response. Yet I’m still the one switching tabs, filling forms, copying data, and stitching […]
Perplexity Computer is Here to Change the Way we Use AI Read More »
Nano Banana Pro has been my personal favorite tool for creating high-quality social media posts, infographics, project flows, and more. Now, Google has upgraded it with Nano Banana Pro 2, and it’s a serious step up. The new version is not only faster than the previous model but also more affordable. In this article, I’ll
Nano Banana 2 vs Nano Banana Pro: What’s the Difference? Read More »
You must have faced the never-ending wait of an AI model taking its time to answer your query. To put an end to this wait, the new Mercury 2 reasoning model of Inception Labs is now live. It works a bit differently from others. It employs diffusion to provide quality answers at nearly instant speed.
Mercury 2: The AI Model That Feels Instant Read More »
The last year has been big for Google’s AI efforts. Its rapid-fire model releases have brought it to parity with the likes of OpenAI and Anthropic and, in some cases, pushed it into the lead. The Nano Banana image generator was emblematic of that trend when it debuted last year, and subsequent updates only made
Google reveals Nano Banana 2 AI image model, coming to Gemini today Read More »
A few years ago, generating an image from text felt magical. Then text-to-video turned prompts into moving scenes. Now models generate complete video sequences without cameras, actors, or editing timelines. ByteDance’s Seedance 2.0 pushes this further. Instead of short silent clips, it delivers a multimodal system that plans scenes in shots, synchronizes audio natively, and
What is Seedance 2.0? [Features, Architecture, and More] Read More »
The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits of power consumption and memory bottlenecks, the conversation is shifting from raw parameter counts to architectural efficiency. Liquid AI team is leading this charge with the release of LFM2-24B-A2B, a 24-billion parameter model that redefines
AI can generate insights faster than any analyst ever could. But speed isn’t the problem anymore. The real problem is value. In 2026, the gap isn’t between companies that use AI and those that don’t. It’s between those who can explain AI-generated insights clearly and those who just copy-paste model outputs into slides and hope
Data Storytelling using AI: 5 Techniques to Present AI-Generated Insights Read More »
Following backlash in a Hacker News thread, Microsoft deleted a blog post that critics said encouraged developers to pirate Harry Potter books to train AI models that could then be used to create AI slop. The blog, which is archived here, was written in November 2024 by a senior product manager, Pooja Kamath. According to
Microsoft deletes blog telling users to train AI on pirated Harry Potter books Read More »
Another day, another Google AI model. Google has really been pumping out new AI tools lately, having just released Gemini 3 in November. Today, it’s bumping the flagship model to version 3.1. The new Gemini 3.1 Pro is rolling out (in preview) for developers and consumers today with the promise of better problem-solving and reasoning
Google announces Gemini 3.1 Pro, says it’s better at complex problem-solving Read More »
The American poet Henry Wadsworth Longfellow called music “the universal language of mankind.” Is that still true when the so-called music is being generated by a probabilistic robot instead of a human? We’re about to find out. Google has announced its latest Lyria 3 AI model is being deployed in the Gemini app, vastly expanding
Record scratch—Google’s Lyria 3 AI music model is coming to Gemini today Read More »
