"The combination of powerful open models like LLaMA and highly efficient “AI-first” inference hardware like Groq’s could make advanced language AI more cost-effective and accessible to a wider range of businesses and developers." – @MichaelFNunez
MARKET TRENDS
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LLM Technology Plateau: Disruption and Adoption Implications
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I should also add that even if LLM technology plateaus at GPT-4 level (which I still think is unlikely), we are likely to see:
1) Continued improvement as new approaches developed
2) 5-10 years of continued disruption as we learn what GPT-4 level can do and start to adopt widely -
Major AI Labs Differ on Future Improvement Pace Outlook
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Of the major labs, Meta seems to have the most public pessimists about future rapid improvements. OpenAI and Anthropic seem most optimistic team members. Google and Microsoft people seem quite mixed overall. Everyone has incentives to posture, but we will learn a lot more soon.
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GPT-5 Race: OpenAI’s Lead in Advanced AI Model Development
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The current state-of-play in the key question of how good AI gets: So much depends on GPT-5. OpenAI had a year+ lead in creating a GPT-4 class model. Now there are four GPT-4 class models. If exponential growth is still possible, OpenAI should be the first to show us. Or not.
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400B Model Expected to Surpass GPT-4 Performance
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they were “only” trying to match gpt4, and now 400b is likely to beat it
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Anthropic increases Haiku tokens amid API provider competition
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5-10x times more Haiku tokens per day from @AnthropicAI – hard not to assume this is in reaction to the flood of new API providers selling cheap access to Llama 3
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NVDA PE Ratio Returns to November 2022 Levels Despite Higher Stock Price
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NVDA now has a PE ratio comparable to what it was in November 2022, when it was trading around $150-160 per share.
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Meta AI vs ChatGPT: Internet Search Capabilities Compared
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That's not an equal comparison, because Meta AI has the ability to search the internet and incorporate the search results into its responses – ChatGPT can do that too with Bing and GPT-4, but can't do that with 3.5
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Benchmarking Results: OpenAI and Anthropic Lead Agent Performance
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Benchmarking Agents We’re happy to share updated benchmarking results using `langchain-benchmarks` to evaluate agents based on different models. @OpenAI and @AnthropicAI take the lead across a variety of tasks. For more explanation about the various benchmarking