2,189 karma · joined December 6, 2017
A key point in the article. From what I understand, this is the main way we measure things of vast distance and, from that, determine the universe's rate of expansion. If our understanding of these supernovae is wrong, as this paper claims, that would be a massive scientific breakthrough.
I'm really interested in the counterargument to this.
Let's say company A is monopolizing a market. New company B finds a way to make company A's product providing exactly the same value, except half as expensive. A healthy market would reward company B and consumers both by allowing that innovation to spread, providing a return for those that invented it and a cheaper product for consumers, leading to greater prosperity for society. However, in the market you speak of, company A can simply use their orders of magnitude more wealth to undercut company B for a time until they go bust.
What incentive is there to innovate, to improve, in a market that doesn't reward it?
[1] https://grapheneos.org/articles/attestation-compatibility-gu...
Right now, if you were to take away Google's money, Firefox would not be able to compete with Chromium and Safari. It would die.
All these side-projects are attempts to find a source of revenue aside from Google and are necessary to Firefox's survival. So saying they should stop doing them, completely misses the point.
Unless we want Firefox to die, we should understand Mozilla's situation and encourage this exploratory process, not hate on it.
Looks like they don't compare to TensorRT-LLM throughput numbers which, last I checked, are SOTA in open source.
Right now, if you were to take away Google's money, Firefox would not be able to compete with Chromium and Safari.
Those 'harebrained' initiatives are attempts to find a source of revenue aside from Google and are necessary to Firefox's survival. So saying
> stop wasting money on all those harebrained non browser initiatives and concentrate on ... the Firefox browser
completely misses the point.
Unless we want Firefox to die, we should understand their situation and encourage this exploratory process, not hate on it.
Found a couple of videos on it too
I think it would be interesting to create a dynamic benchmark. For example, a benchmark which uses math and a random value determined at evaluation for the answer. The correct answer would be different for each run. Theoretically, training on it wouldn't help beat the benchmark because the random value would change the answer. Maybe this has already been done.
When ChatGPT came out, there was a flood of fine-tuned LLMs claiming ChatGPT-level performance for a fraction of the size. Every single time this happened, it was misleading.
These LLMs were able to score higher than ChatGPT because they took a narrow set of benchmarks and fine-tuned for those benchmarks. It's not difficult to fine-tune an LLM for a few benchmarks, cheaply and beat a SOTA generalist LLM at that benchmark. Comparing a generalist LLM to a specialist LLM is like comparing apples to oranges. What you want is to compare specialist LLMs to other specialist LLMs.
It would have been much more interesting and valuable if that was done here. Instead, we have a clickbait, misleading headline and no comparisons to math specialized LLMs which certainly should have been performed.
To explain how to calculate it precisely, I would have to write a blog post. There are dozens of factors that go into it and they vary based on your use case like GPU type/setup, cloud provider, inferencing engine, context size, the minimum throughput and latency you'd be willing to have your users experience, LLM quantization, KV cache configuration, etc.
I'm sure there are cost analyses out there for Llama 3.1 70b you could find though.