This is a four-year retrospective by an independent developer who founded Ludicon to pursue ambitious, long-term work on game texture compression and middleware. The piece explains that commercial success has lagged despite high-quality results, in part because 2022 was a brutal year for the industry (about 8,500 layoffs) and engine consolidation made third-party middleware a tougher sell after Epic acquired RAD in 2021. The original market thesis - that growing game size and user-generated content would create demand for runtime texture compression - still held, but unexpected forces shifted the landscape: generative AI massively increased content creation while supply-chain and AI-driven demand raised memory and storage costs, tightening device resources.
Technically, the developer abandoned a head-on race with established rate-distortion-optimized (RDO) encoders and focused on real-time compression and different intermediate representations that load efficiently on GPUs. Work on Spark and experiments combining modern image formats (WebP/AVIF) already beat RDO in compression ratio, though decompression speed remains a bottleneck. AI did not replace expert codec design, but dramatically sped up development: automated debugging, CI fixes, regression testing, and tools like a cross-platform shader/assembly viewer. The conclusion is optimistic - after four years the bet on real-time and learned codecs looks stronger, and upcoming high-throughput codecs and neural texture research should widen practical options.
Summary generated by AI from the linked article. hn.today is not affiliated with Hacker News or Y Combinator.
Anthropic suggests its AI may possess consciousness, raising ethical questions about AI feelings and suffering. The development has sparked debate among tech leaders about the moral implications and safety risks of advanced AI systems. (bbc.com)
Sergey Brin states that Google's AI models are entering a phase of recursive self-improvement, where AI helps develop better AI systems. This process could accelerate AI development significantly within the next year, according to industry experts. (businessinsider.com)
Lightpanda is a headless browser built in Zig, optimized for automation, crawling, and AI workloads. It offers significantly faster performance and lower memory usage compared to Chrome, making it ideal for cloud-based AI applications. (lightpanda.io)
A JavaScript tool called Handwired converts code into neural networks that run in browsers without GPU training. It enables real-time weight adjustments and complex tasks like search and rendering using neural network techniques. (chenglou.me)
Terence Tao discusses the allure of AI and large language models in advancing mathematics and science, comparing it to Borges's imagined Library of Babel containing all possible knowledge. He highlights how AI's potential to generate vast amounts of research could revolutionize scientific discovery, despite the challenges of sorting through misinformation. (terrytao.wordpress.com)
A new LSP daemon spec reduces token overhead in multi-turn AI agents by 70-82% through structural AST context pruning. This improves performance and efficiency in AI agent communication. (github.com)
Today's best Hacker News stories, summarized and screenshotted, one email a day.