It’s a brainstorming partner. You still make decisions.
@aravsrinivas
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Open Source Model Quality Standards and Rigorous Evaluation Criteria
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Not this exact model.
But at some point, when we believe there’s a dramatically significant value add after rigorous ablations and evaluations and testing for use cases.
There are just too many open source models and it’s important to have a good bar for signal to noise ratio. -
Prioritizing Harmlessness After Helpfulness in AI Model Training
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This is precisely why we should work towards harmless after achieving helpfulness, than the other way. Models trained by Perplexity are going to be doing this.
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Schmidhuber’s Q* Discovery: Historical AI Research Milestone
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Schmidhuber discovered Q* ~30 years ago. Like every other idea in AI.
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Perplexity Open to AI Collaboration with Key Figures
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Sure, we’re very much open to bringing it up on perplexity if @elonmusk and @ibab_ml are.
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Testing X AI Model Humor and Style Features
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Ya so the humor and style of x ai model is cool. Look fwd to testing them.
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Perplexity Launches Discover Feeds Knowledge App
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Perplexity Discover Feeds . Step towards the ultimate knowledge app.
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Citation-based PageRank for Training Data Token Optimization
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Well, just sort by citations and use that as a page rank for training data tokens
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Avoid Platform Lock-in, Build Your Own Solutions
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The more you buy and believe in one model and platform to rule them all, the exponentially less likely you’re to build anything meaningful yourself. Trust your gut and keep accelerating.
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Anthropic praised as EA’s most significant contribution
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yep that's fair. Anthropic is the only good thing to come out of EA.