Platform Wars
Every AI tool you use runs on GPUs. The price you pay, the speed you get, the rate limits you hit, and whether the tool exists at all — every one of those things traces back to how many graphics processors a company can get its hands on and how efficiently
Platform Wars
The cost of calling an AI API has fallen roughly 95% since early 2023. GPT-4's launch pricing — $0.03 per 1K input tokens, $0.06 per 1K output — now looks like highway robbery compared to what the same tier of intelligence costs today. This collapse is not an
Platform Wars
The AI discourse on Twitter — or whatever we're calling it this week — would have you believe that every company on Earth is either deploying AI agents across their entire operation or is two quarters from irrelevance. The reality inside actual enterprises looks nothing like this. Adoption is real,
Platform Wars
The phrase "open source AI" gets thrown around like it means one thing. It does not. When Meta releases Llama, when Mistral releases Mixtral, when Alibaba releases Qwen — each of these is "open" in a different way, with different restrictions, and with different implications for what
Platform Wars
Every time a new model drops, the announcement comes with a chart. The chart shows bars going up and to the right on benchmarks you've never heard of, beating the previous state-of-the-art by some percentage that sounds impressive. Then you use the model, and it feels about the
Platform Wars
Every few months someone publishes a "state of AI" chart with logos arranged in quadrants, and it tells you absolutely nothing about which tool to use tomorrow morning. The five companies that matter most in AI right now — Anthropic, OpenAI, Google, Meta, and Mistral — are not interchangeable competitors
Platform Wars
This is the capstone of the Platform Wars series, so let's skip the preamble. The AI industry in early 2026 is simultaneously more useful and more overhyped than it was in early 2025. The tools are better. The business models are shakier. The user base is larger. The
Platform Wars
Every major AI company says it's building toward AGI. None of them agree on what that means. This isn't a philosophical quirk — it's a strategic choice. The way each company defines AGI determines when they can claim they've achieved it, how they
Platform Wars
The most contested real estate in tech right now isn't the browser, the phone, or the cloud dashboard. It's the code editor. Whoever owns the place where developers write code owns the distribution channel for AI — and every major AI company has figured this out at
Open Source
You can build your own ChatGPT. Ollama handles inference, Open WebUI provides the interface, and the whole thing runs on your hardware with zero data leaving your network. The pitch is compelling. The reality is more nuanced than "install two things and cancel your subscription," but it'
Open Source
This is the article that saves you from buying the wrong GPU. The local AI community has a hardware fetish — every other post on r/LocalLLaMA is someone asking "will my [GPU] run [model]" or showing off their multi-GPU server build. The actual answer to "what hardware
Open Source
Three tools, same models, same hardware. Ollama, LM Studio, and LocalAI are the three platforms that dominate local AI inference in 2026, and if you're choosing between them, you've probably already spent too long reading comparison threads on r/LocalLLaMA. This is the article that ends