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the level of the comments in this post is disappointing for hacker news.
by luckydata 4y ago
the level of the comments in this post is disappointing for hacker news.
- dougmwne 4y agoAbsolutely. From what I can tell, this model hits state of the art on several benchmarks at 1/10 the size of its benchmark winning competitors. That performance efficiency is great to see because while we know we can increase performance by scaling up the size and compute requirements, getting the same performance out of a fraction of the compute is a major win. This will be especially valuable as these models begin to see real production use at scale such as with ChatGPT and Bing. HN seems to have mostly devolved into skepticism, hype and confusion lately around all things AI. I’d say we have just hit futureshock.