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Richard Socher

31 statements across 4 episodes · 9 bullish · 8 bearish · 1 people on the record · first statement Aug 18, 2023 by Richard Socher · said 6 times in 3 episodes since 2023 · across every show →

On the record as a speaker too: Richard Socher's record, appearances and statements → this page counts the times other people say the name.

Mentions by year

brought up most by Clément Delangue (4), Marc Benioff (1), Harry Stebbings (1)

tap a year for its mentions
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2024 1 mention in 1 episode
2023 5 mentions in 2 episodes 3 per episode

every mention, scene by scene, with the transcript →

Everything said about Richard Socher, oldest first

Aug 18, 2023 positive
Assertion Open
Socher: OpenAI cited his 2018 multi-task NLP research in early GPT paper
“When in 2018, we invented problems engineering and we got this single model to work for all of these different NLP tasks. You know, it inspired some folks at OpenAI. They cited our paper in their first GPT open papers and cited our research there.”
Richard Socher Aug 18, 2023 ▶ 8:58 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023
Assertion Partly supported
Socher: Prompt engineering was invented at Salesforce Research
“When we invented prompt engineering, we actually did it at Salesforce research when I was chief scientist there.”
Richard Socher Aug 18, 2023 ▶ 42:05 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023 bearish
Prediction Not checkable as stated
Socher: Physical jobs will become expensive bottlenecks constraining AI GDP growth
“The tasks that are physical are getting more and more expensive and they're going to become the new bottlenecks, right? So your carpenter, the people like who built your house all of those kinds of jobs are going to be more and more expensive. And then they're…”
Richard Socher Aug 18, 2023 ▶ 50:07 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023
Assertion Contradicted
Socher: Commercial incentives prevent developers from building goal-setting AI
“Because companies need to make money and governments want to have a productive economy, no one is working on AI, just doing whatever it wants to do because that doesn't make any money. So no, one's working on AI setting its own goals.”
Richard Socher Aug 18, 2023 ▶ 55:22 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023 bearish
Prediction Not checkable as stated
Socher: Full self-driving in complex, unconstrained environments won't work for a long time
“Full self-driving on off-road, dirt road, like small roads, nighttime fog, like all of these things like won't work for a long time”
Richard Socher Aug 18, 2023 ▶ 49:45 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023 negative
Insight
Socher: Next-token prediction alone does not constitute general intelligence
“I find it hard to call something Artificially super intelligent or generally intelligent. If it, all it does is predict the next tokens and you say, oh, predict this next token. It'll predict that next token. I think an intelligent existence probably needs to …”
Richard Socher Aug 18, 2023 ▶ 54:42 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023
Assertion Supported
Socher: DecaNLP paper was initially rejected by academic reviewers
“Actually the paper, when we submitted this prompt engineering paper, it got rejected.”
Richard Socher Aug 18, 2023 ▶ 11:56 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023
Insight
Socher: AI automation scales directly with how digitized and data-rich a job is
“The more digital they are, the more data there is about a job the more that job is likely to go to be automated and improved massively in its efficiency.”
Richard Socher Aug 18, 2023 ▶ 49:21 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023 negative
Disclosure
Socher refused to sign Elon Musk's AI pause petition
“I did not sign it. I don't think it makes sense to pause the training of models.”
Richard Socher Aug 18, 2023 ▶ 57:13 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Aug 18, 2023 positive
Insight
Socher: AI advances faster by expanding unified models than building separate ones
“Kind of like imagine Wikipedia and everyone just keeps adding to Wikipedia and keeps making one dictionary better rather than everyone who wants to build a dictionary just starts their own dictionary company and then builds it from scratch. It just doesn't mak…”
Richard Socher Aug 18, 2023 ▶ 11:10 Richard Socher: The 3 Biggest Barriers to Building AGI; AI Startups vs Incumbents | E1050 · 20VC with Harry Stebbings
Sep 15, 2023 positive
Insight
Richard Socher: Enterprise Incumbents Hold a Key Advantage in Proprietary Data
“So it's complicated in the sense that unsupervised data, just raw internet text is easily accessible, but there's still a lot of data sets out there that are not out there. They're actually stored in a private databases. And indeed, if you want to answer custo…”
Richard Socher Sep 15, 2023 ▶ 9:08 20VC: The Biggest AI Leaders on What Matters More; Model Size or Data Size & Where Does The Value in AI Accrue; to Startups or to Incumbents
Sep 15, 2023 bullish
Insight
Richard Socher: AI Startups Can Build Moats Through Distribution and Partnerships
“Turns out you can have moat other than your backend AI model, right? It's distribution, it's partnerships. Your sales funnel processes and so on.”
Richard Socher Sep 15, 2023 ▶ 11:50 20VC: The Biggest AI Leaders on What Matters More; Model Size or Data Size & Where Does The Value in AI Accrue; to Startups or to Incumbents
Nov 24, 2023 bullish
Prediction Didn’t hold up
Socher: An open-source GPT-4 equivalent will arrive by end of 2023
“I predicted that we'll have a GPT-IV equivalent model Before the end of the year, that's open source.”
Richard Socher Nov 24, 2023 ▶ 8:42 The Ultimate AI Roundtable: What Happens Now in AI, Why Google are Vulnerable | E1085 · 20VC with Harry Stebbings
Apr 18, 2025 bearish
Prediction Open · timeframe Dec 2027
Socher: Expects to win $1,000 bet that AGI won't arrive by 2027
“We did this bet and in the bet he has to win. I think it ends in 20, 27. So three things have to be true. We have to have a personal robot that cleans the whole house the way my cleaning team does. And it needs to be purchasable, like for reasonable amounts of…”
Richard Socher Apr 18, 2025 ▶ 52:52 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 bearish
Disclosure
Socher: Avoids personal investments in pure language model infrastructure
“I have personally stayed away from investing in any pure LM infrastructure companies.”
Richard Socher Apr 18, 2025 ▶ 23:14 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 neutral
Prediction Not checkable as stated
Socher: AI will turn every individual contributor into a manager
“With AI, every person will become a manager, but most people are not used to managing other people or processes.”
Richard Socher Apr 18, 2025 ▶ 15:38 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025
Assertion Supported
Socher: Current computing can accurately simulate only a few hundred atoms
“We can right now like really, really accurately only simulate like a few hundred atoms at best and how they really, truly interact with one another.”
Richard Socher Apr 18, 2025 ▶ 50:36 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 bullish
Opinion
Socher: Longevity Is Massively Underrated and Will Improve via AI
“Improving longevity as like one of those AI plus bio corollaries or follows that is just really, really exciting. And I think longevity is massively underrated.”
Richard Socher Apr 18, 2025 ▶ 56:58 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 negative
Assertion Not checkable as stated
Socher: Enterprise OpenAI deployments see weekly active usage drop to 6%
“They had to pay a thousand seat licenses for OpenAI, and then six months later, they realize only six percent are actually using them every week.”
Richard Socher Apr 18, 2025 ▶ 15:25 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 bearish
Prediction Not checkable as stated
Socher: AI startups trading at 80x-100x ARR without moats face correction
“We're going to see a correction when companies are trading hundred ADX their ARR and they don't have a real moat and like there's the switching cost is close to zero to go to DeepSeek or something else.”
Richard Socher Apr 18, 2025 ▶ 46:02 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 positive
Assertion Supported
Socher: Speech recognition startups reach $100M+ revenue despite commoditization
“There's still several companies that make millions and, like, tens or even hundreds of millions of revenue doing speech recognition just perfectly.”
Richard Socher Apr 18, 2025 ▶ 47:50 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025
Assertion Supported
Socher: Peer reviewers publicly rejected the original prompt engineering paper
“We invented prompt engineering which was majorly rejected publicly on open review an idea that made no sense to the reviewers.”
Richard Socher Apr 18, 2025 ▶ 4:40 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025
Assertion Not checkable as stated
Socher: Entry-Level Tech Jobs Are Increasingly Automatable
“I think the biggest problem and biggest worry I have is that the entry level jobs right now are more and more automatable.”
Richard Socher Apr 18, 2025 ▶ 41:11 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025
Assertion Supported
Socher: 60% of U.S. adults have never used an AI chat model
“I don't think it'll happen as quickly as people think. There's still, I think, 60% of all adults in the U.S. Have never talked to a chat model, like, at all. And that's the U.S. Like, just go to Europe, I'm sure that is even higher.”
Richard Socher Apr 18, 2025 ▶ 35:53 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025
Prediction Not checkable as stated
Socher: Humans will have more significant AI friends in the future
“I think we will have more significant AI friends, but I hope it's not more significant than our friendships with people.”
Richard Socher Apr 18, 2025 ▶ 38:03 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 positive
Insight
Socher: Enterprise Is the Killer Application for Large Language Models
“We realized eventually the killer app for large language models and complex answers is an enterprise.”
Richard Socher Apr 18, 2025 ▶ 5:44 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 neutral
Insight
Socher: Money is one of the best indicators of impact
“I realized at some point you have to care about money because money is one of the best indicators of impact and allows you to do epic, cool things, but I don't intrinsically care about it.”
Richard Socher Apr 18, 2025 ▶ 55:18 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 neutral
Prediction Not checkable as stated
Socher: Point-solution AI startups will not all die overnight
“I actually don't think they're all gonna just die overnight.”
Richard Socher Apr 18, 2025 ▶ 47:39 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025
Insight
Socher: Programming Knowledge Is Required for Effective Vibe Coding
“But if you don't know how to program at all, you're also not going to be as good of a vibe coder.”
Richard Socher Apr 18, 2025 ▶ 41:50 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025 positive
Prediction Not checkable as stated
Socher: Quantum biological simulation will enable AI to cure cancer and MS
“Once you can simulate a cell and then multiple cells and organs and organisms, like all of a sudden AI can try billions of different things on how to cure that cancer, how to cure MS, how to cure like all the bacteria and viruses and like all these different t…”
Richard Socher Apr 18, 2025 ▶ 51:25 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
Apr 18, 2025
Insight
Socher: AI can solve every problem in any domain that can be simulated
“In AI, anything you can simulate, AI can solve every problem in that domain.”
Richard Socher Apr 18, 2025 ▶ 50:58 20VC: Foundation Models: Who Wins & Who Loses | How Economies and Labour Markets Need to Change in a World of AI | China vs the US in an AI Race: What You Need to Know | Rich Socher, Founder @ You.com
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