AI has produced a surge of modestly successful software projects rather than an explosion of blockbuster products. A comparison of installation and usage counts across about twenty marketplaces, plugin registries and modding platforms between 2022-24 and 2025-26 shows a clear uptick in small-to-medium hits: NVDA addons with more than 1,000 downloads doubled, HACS plugins with over 100 installs doubled, new Steam games with over 100 reviews rose by roughly 60%, and Obsidian plugins, browser extensions, Nexus mods and Blender add-ons show the same pattern. Some large platforms such as Google Play and WordPress did not follow this trend, but overall there is about 2x growth in modestly successful projects amid as much as a 10x rise in total projects, while massively successful non-AI products show no comparable growth.
Install counts were chosen to focus on software people actually use rather than AI-first tooling, and game mods and ports are highlighted as examples where AI is solving ordinary user needs. Voluntary disclosure of AI use is unreliable in hobbyist communities, so the timing and scale of the jump implicate AI as a primary driver even when authors hide its use. Large incumbent products remain relatively static because they are feature-saturated and technically constrained, while runaway hobbyist hits are rare either because breakout ideas are hard to find or because successful projects need years to scale. The research was conducted with AI assistance and the underlying dataset is available.
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DeepSeek V4.1 Flash 1017 is a sparse mixture-of-experts model built on the Causal Encoder-Decoder architecture, designed for coding, long-horizon tasks, and visual-text understanding. It offers improved performance and cost efficiency, with reduced cache memory and faster task completion compared to previous versions. (openrouter.ai)
DeepSeek-v4.1-Flash-1017 is a multimodal image-text-to-text model available on Hugging Face, optimized for text generation tasks. It supports various precisions and is licensed under MIT, with deployment options in the US region. (huggingface.co)
Ray Myers criticizes OpenAI for prioritizing profit over genuine mathematical progress, accusing it of dishonesty and devaluing workers. He compares the AI industry’s behavior to narcissistic abuse, emphasizing a toxic relationship with artificial intelligence that benefits only the dominant players. (raymyers.org)
Llmspeed allows users to simulate the speed of local large language models on various hardware setups before making a purchase. It provides benchmark estimates based on community data for different models and devices. (llmspeed.dev)
Elon Musk has made numerous predictions about Tesla achieving full autonomous driving, with timelines ranging from 2018 to 2023. As of 2024, Tesla's FSD system remains classified as Level 2, and full autonomy has not yet been achieved. (en.wikipedia.org)
Lithos-metal develops high-performance LLM inference kernels and serving solutions optimized for Apple silicon. The project is hosted on GitHub with 257 stars and 24 forks, focusing on efficient AI model deployment. (github.com)
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