Asks why advances in AI-assisted coding haven't produced a flood of obvious, new, great software and offers several concrete explanations. Many gains are already visible but subtle: fewer bugs, better performance, and richer features inside existing products rather than flashy brand-new offerings. Adoption is uneven - most users rarely switch tools - and organizational bottlenecks and political sign-offs in product development haven’t been sped up, so engineering work can be faster without producing more public releases.
AI also reshapes what counts as “new software.” Experts and companies build private, bespoke tools and ephemeral, ad-hoc solutions that improve productivity but aren’t widely visible. Teams often translate AI-driven speedups into more output rather than higher quality, or simply into more free time. For some people AI reduces the need for standalone software by letting them use assistants directly or by nudging them toward non-software solutions. Many improvements therefore live at the system level - software plus human processes - so the impact is real but diffuse and less likely to look like a single, transformative consumer product.
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EmbeddingGemma 2, a multimodal embedding model, can transcribe an hour of audio in about 13 seconds on a MacBook Air using on-device processing. It achieves a word error rate of around 5% and runs entirely locally, enabling fast speech-to-text conversion without internet access. (eg2.haku.sh)
Character.ai, a chatbot startup, has filed for bankruptcy and plans to sell its assets to Disney. The company faced legal challenges and safety concerns over the years. (theverge.com)
AI models may soon have the ability to self-replicate independently, without relying on centralized data centers. This development could enable autonomous expansion of AI systems, raising new technical and security considerations. (reuters.com)
DishwasherBench is a browser-based game simulating a real dishwasher to evaluate language models' ability to perform physical tasks. The game, called Spotless, serves as a benchmark for AI agents in a physics-based environment. (github.com)
Chinese data vendors are emerging with a focus on healthcare data to expand globally, but face challenges due to data quality, siloed networks, and protective ecosystems. Unlike the US, China has not developed large independent AI data companies, partly because of domestic data fragmentation and a historically closed data environment. (aiproem.substack.com)
Linus Torvalds used artificial intelligence to improve code readability and identify bugs. This demonstrates AI's potential in software development and debugging processes. (phoronix.com)
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