News

This isn’t just another milestone in DNA editing technology. It’s a landmark moment that signals the beginning of a new era: personalized, genetically-targeted medicine. These are treatments created for a specific person, for their unique mutation, for their precise diagnosis. This is the future of medicine, and it’s happening today. I have been enthusiastically following the development of Cas9 technology since 2012—the very protein that kicked off the era of precision DNA editing. The world later came to know this field as CRISPR, or more simply, “genetic scissors.” ...

I’m often asked which AI training project cost millions of dollars and two years of my life. People wonder: why is it so expensive? My usual answer is that it’s not particularly expensive—especially considering we don’t own our own hardware yet. Training AI has always been about massive data centers; that’s just the reality of the field. When you’re not immersed in it, the sheer scale can be hard to visualize. ...

OpenAI has released Codex CLI, an open-source AI agent for developers. This marks a quiet but significant victory for the open-source community. The tool allows developers to use natural language directly in the terminal—the agent interprets the request, then writes, executes, and tests the code. Most importantly, this entire process runs locally, without sending data to the cloud. With this release, the industry moves one step closer to a system that can independently understand, build, and deploy solutions. It underscores a critical point: the future isn’t just about choosing the right model, but about engineering the right architecture that connects thought → action. ...

Yesterday, OpenAI opened access to the GPT-4.1 API. It’s a refined version of their flagship model—faster and architecturally closer to the concept of ‘agents.’ In parallel, the company officially announced it is winding down GPT-4.5, its most resource-intensive model, due to its excessive complexity and support challenges. With GPT-4.5, it seems they hit an architectural dead end. We are at a point where models appear and disappear rapidly. They are becoming what they should be: tools, not landmark events. We have a growing catalog of specialized AIs: some calculate, others write code, plan tasks, or generate video. But the average user should not be expected to know and choose between every AI in existence. That paradigm defies the logic of good user experience. ...

DeepSeek has once again followed its “quiet release” strategy, making its new DeepSeek-V3-0324 model available on Hugging Face without any major announcements. Instead of marketing hype, they’ve simply delivered a solution for the community to evaluate. I tested the model locally on a Mac Studio equipped with an M3 Ultra chip and saw impressive performance, generating over 20 tokens per second. This marks a significant acceleration for running capable models on local hardware, making it a viable option for developers. ...

Last Thursday, I attended TgConf, a key conference focused on traffic, monetization, and the future of the Telegram ecosystem. As I continue to develop my own channel, I’m constantly looking for new opportunities for integration and growth. The sessions covered advertising, the development of applications, and the strategic direction of the platform. ...

A recent study by the Tow Center for Digital Journalism at Columbia University delivered a stark reality check on the current state of AI-driven search. The findings are a critical reminder that while generative AI is advancing at an incredible pace, its reliability in retrieving and citing factual information is still deeply flawed. The researchers tested eight leading AI search systems, including prominent models like ChatGPT and Google’s Gemini. The results demonstrate a significant gap between capability and accuracy. ...

A Pragmatic Look at the Quantum Computing Supply Chain I came across an insightful market map from The Quantum Insider that breaks down the current quantum computing landscape. In a field often dominated by news of qubit counts and theoretical breakthroughs, this provides a practical, engineering-focused view of the ecosystem that is actually being built. It’s a clear signal that the industry is maturing beyond pure R&D and into a complex supply chain with distinct, specialized layers. Here’s a summary of the key players and technologies shaping the field, based on that research. ...

NVIDIA has released the source code for cuOpt, its platform designed to solve complex optimization problems in logistics, resource management, and scheduling. This is an important shift. Previously, such powerful technologies were locked behind expensive licenses, accessible only to large corporations with significant budgets. Now, cuOpt is free to use and adapt, democratizing access to high-performance optimization. With this tool, companies can now achieve significant operational efficiencies: Dynamic Route Planning: Recalculate truck routes in seconds to adapt to changing road conditions, traffic, or supply chain disruptions. This directly reduces fuel costs, shortens delivery times, and improves customer service. Warehouse Optimization: Streamline warehouse operations by reallocating goods between logistics centers to minimize surpluses and accelerate order fulfillment. Real-Time Scheduling: Adjust airline schedules in real-time during delays or weather events to prevent cascading cancellations and airport congestion. Energy Grid Balancing: Help grid operators respond faster to fluctuations in demand and better integrate renewable energy sources. This move enables even small companies to implement advanced optimization methods without the massive expense of in-house development. It offers a genuine competitive advantage to businesses that know how to leverage technology effectively. ...

Just six months ago, many AI products felt like experiments. Today, the consumer AI market has clearly formed: key players are solidifying their positions, audiences are growing, and competition is intensifying. The Numbers Confirm the Growth The data shows a clear trend of maturation and user adoption: ChatGPT now has 400 million weekly users, a two-fold increase from six months ago. The fact that 175 million of them use the mobile app shows AI is becoming a fixture in daily routines. 17 new AI products have broken into the top 50 web services in the last six months alone. AI video has reached a new level of maturity, with platforms like Hailuo, Kling, and Sora establishing their own dedicated audiences. From Hype to Real Revenue We are witnessing the tangible conversion of hype into real money. The market is not just growing in users, but in profitability. ...