@llmh | prev: @palantirtech @uofpenn cs + finance
Joined May 2023
- Tweets4
- Following82
- Followers60
- Likes7
Pinned Tweet
At @palantirtech I was in an AI team that sat broadly across all verticals and went deep into the largest ones. I saw firsthand how AI done right can transform industries, and it became clear to me that closing the gap between AI and the real economy is a defining challenge of our time worth focusing on. As important as AI progress is the change it actually brings.
@llmh tackles this from the angle of a permanent capital vehicle. Ownership of quality companies aligns incentives, removes obstacles, and gives us the chance to steward their trust and distribution — the two most important currencies in the AI era that will remain even after an intelligence explosion. AI diffusion is determined by context, context is data, and data comes from trust and distribution.
There’s currently an infinite supply of problems to work on as a technologist in bringing AI to the real world. LL is a uniquely interesting place to work on them, and I’m humbled & excited to play a part. Towards compounding 🫡
Today, Long Lake completed our $6.3B acquisition of Amex GBT.
Long Lake acquires and transforms generational businesses with AI across the American services economy.
Amex GBT is the travel partner for 17,500 businesses in 140 countries. Last year, Amex GBT booked 35 million trips for 10 million travelers.
This marks Long Lake’s 40th acquisition, and our family of companies now employs nearly 30,000 people.
We founded Long Lake three years ago with the thesis that AI is going to change every company, but there’s a large overhang between AI capabilities and how most businesses leverage AI tools.
We partner with strong, profitable, and growing businesses to help them deploy AI and improve their customer service.
Our first cohort of companies has doubled their EBITDA in less than two years through topline and productivity growth, all while increasing headcount. (We’re proud to say that we’ve never conducted a layoff.)
We’re excited to share a bit more about what we’ve been up to.
1
38
1,980
Another exciting one on rationales LLM’s generate for responses 👍🏻
Excited to share 🎰 Pachinko: Patching Interpretable QA Models through Natural Language Feedback
chaitanyamalaviya.github.io/…
Work done w/ @subinlee_ @danrothnlp @yatskar
1
304
Let’s gooooo!!! Exciting research on expert use cases of language models 🙌🙌🙌
(1/12) Excited to share 🩺 ExpertQA ⚖️ : a new benchmark for attribution & factuality analysis, as well as long-form QA, created with experts from 32 fields!
arxiv.org/abs/2309.07852
Work done @Penn & @UWMedicine, with @subinlee_ @soshsihao @Esieber17 @yatskar @DanRothNLP.
1
223