
Richard Socher
@RichardSocher • 117,310 subscribers
CEO @youdotcom MP @aixventuresHQ Before: Stanford Adj Prof in AI/NLP, Chief Scientist at Salesforce, MetaMind
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Can smaller AI companies still beat OpenAI? Yes, if they focus: ARI (our Advanced Research & Insights agent) just beat OpenAI's Deep Research. By a large margin and on two benchmarks. Today, we're also introducing ARI Enterprise, giving financial analysts, consultants and knowledge workers the most accurate answers to deep research prompts. Links and details below.
Richard Socher809,977 次观看 • 1 年前

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.
Richard Socher63,588 次观看 • 9 个月前

We're all going to become AI managers. You'll need to explain your workflows clearly to AI, just as you would delegate them to a team member. Real example: Marketing team explained their process to AI: "Take product description → adapt for different industries → create email campaign + social posts" Result: 6-20 hours of work automated.
Richard Socher15,704 次观看 • 1 年前

AI has a "last-mile problem" similar to self-driving cars. With self-driving cars, early demos impressed, but real-world deployment took years. It's easy to hack up a prototype, but making it work reliably at scale is hard. If each step of an AI agent is only 95% accurate, none of the 30-step workflows will work reliably. Going from 95% to 99.9% accuracy is the real challenge.
Richard Socher14,895 次观看 • 1 年前
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