OpenAI announced a landmark funding round and strategic alliances on February 27, 2026, aimed at expanding the reach of artificial intelligence across consumers, developers, and enterprises while cementing its leadership in global AI infrastructure. The initiative, framed under the banner “Scaling AI for everyone,” signals a new phase in the commercialization and deployment of frontier […]
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Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.