Posts

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. ...

Your Thought Process, Packaged Deep Research isn’t just another AI feature; it’s a fundamental shift toward an agent-based architecture. In this model, the LLM stops being a simple chatbot and becomes a co-author—an agent that independently searches, filters, validates, and structures information. What does this change? If you’re designing a business, a startup, or a product, you don’t have time to personally read 200 sources. Now, an AI agent does it for you. This frees you up to do the high-value work: to think, not just to search. ...

Scientists recently digitized a single cubic millimeter of a mouse’s visual cortex, a project that generated 1.6 petabytes of data to map 84,000 neurons and half a billion synapses. To put that into perspective, the number of synapses in that tiny piece of brain tissue is comparable to the number of parameters in large-scale AI like DeepSeek or GPT models. It’s significantly more than the 29 billion parameters in a model like GigaChat. This comparison is a useful analogy for scale and complexity: just as synapses determine a brain’s processing capacity, parameters define the “power” of an AI. ...

Yesterday was a day focused on relationships. I was at a CLUB 500 event discussing friendship and its direct impact on team stability, project success, and the overall atmosphere within a company. Here are three thoughts I took with me: 1. Development Happens Only Through Interaction Sitting in a lotus pose is for stabilization. Real growth begins where there is live, human connection. Not over Zoom, not in a chat, but in a shared physical space. True progress is fueled by the kind of high-bandwidth, direct interaction that digital tools can only simulate. ...

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. ...