Uladzislau Bayouski

For most of its existence, an IoT device had one job. Collect data. Send it somewhere else. Wait. The intelligence lived in the cloud — far away, processing your data minutes after the moment that actually mattered. That model is breaking down. Fast. The Short Version Generative AI is moving off the cloud and onto the device itself. Not a simple classifier. Not a rules engine. Actual reasoning, generation, and decision-making — running locally on hardware that fits in your hand or bolts onto a factory wall. Two forces made this inevitable: Cost : inference that runs $0.50 in the cloud now costs $0.05 on-device. At millions of devices, that 90% reduction is showing up in production P&Ls across manufacturing, healthcare, and retail Silicon : NPUs and dedicated AI accelerators have finally caught up. The hardware bottleneck that killed edge AI dreams for a decade is gone The result? Devices that don't just sense their environment — they understand it: A factory sensor ...

Google Just Solved One of AI's Biggest Hidden Bottlenecks Every time an LLM generates a response, it quietly runs one of the most memory-hungry operations in computing — the KV cache . As conversations get longer and models get bigger, it becomes a wall. Expensive. Slow. Stubborn. Google Research just published a paper that hits that wall with a sledgehammer. The Short Version Traditional quantization methods save space on data, then spend it right back storing bookkeeping constants. You compressed the model, then padded it back out again. 🤦 Google's answer — TurboQuant — is a trio of algorithms that eliminates the overhead entirely, not by compressing it, but by redesigning the geometry so it was never needed in the first place. The results: KV cache down to 3 bits — no retraining required Memory footprint reduced by 6x Up to 8x speedup on H100 GPUs Long-context benchmark accuracy? Essentially unchanged And it outperformed methods hand-tuned to specific datase...

If you’ve ever had an idea for a website — a personal portfolio, a landing page for a side project, or even a simple dashboard — you’ve likely run into the same problem: building a site takes time, technical expertise, and often a full team of developers. What should be a quick experiment or small project can easily turn into days or weeks of work. Lovable changes that. Lovable is an  AI-powered web app builder  designed to turn ideas into functional websites without requiring you to write a single line of code. Whether you’re a solo creator, an entrepreneur, or part of a small team, Lovable gives you a fast, intuitive, and accessible way to bring your ideas to life. In this article , we’ll explore  what Lovable is, how it works, who it’s for, and when it’s the right tool for your project.