Oct 30, 2023 · 50m · big-technology

Why Google Never Shipped LaMDA Its ChatGPT Predecessor

Gaurav Nemade · 29m spoken Alex Kantrowitz · 16m spoken
0:00 / 0:00
▶ Watch on YouTube →

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In the inaugural episode of Big Tech War Stories, host Alex Kantrowitz interviews former Google product manager Gaurav Nemade to uncover why Google failed to publicly launch LaMDA, its powerful conversational AI model that predated ChatGPT.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Alex holds 34.9% of the talking time here. How this is scored →

Alex as informed peer 4.7 Guest teaching 4.1 Guest disagreement 1.6 Alex pushing back 1.6
05100:0015:0030:0045:002:04–7:39 · Alex as informed peer 4/10 Gaurav's Academic Background and Move to Google AI Alex prompts Gaurav about his academic background at IIT and his career move from trust and safety to Google AI. The dynamic is conversational and collaborative, with Gaurav detailing his transition.7:40–12:52 · Alex as informed peer 5/10 Transformers, BERT, and the Genesis of Project Meena Alex tracks the chronology of the 'Attention Is All You Need' paper and the rise of BERT. Gaurav explains how BERT triggered internal interest and describes the serendipitous lunch meeting that started Project Meena.12:53–19:44 · Alex as informed peer 5/10 End-to-End Architectures and Early Safety Challenges Alex shares his personal reporting experience covering Microsoft's Tay bot, while Gaurav clarifies technical architecture differences between legacy pipeline models and end-to-end LLMs.19:45–29:15 · Alex as informed peer 5/10 Institutional Hesitation, Safety Guardrails, and Bureaucracy Alex probes why Google was hesitant to ship LaMDA despite the breakthrough. Gaurav explains the institutional fear of PR disasters, strict AI principles, and how OpenAI successfully navigated vetted releases.29:16–33:58 · Alex as informed peer 4/10 Exploring Practical and Creative Use Cases for LaMDA Gaurav details 8 to 10 early use cases pitched internally at Google, such as Assistant personas, video game NPCs, and custom company bots. Alex enthusiastically reacts to the gaming and avatar concepts.33:58–41:18 · Alex as informed peer 5/10 The Sentience Controversy, ChatGPT, and Search Dynamics Alex asks about the Blake Lemoine sentience claims and Google search cannibalization fears. Gaurav dismisses sentience as prompting bias and explains why search bureaucracy and distribution advantages insulated Google from Bing.41:19–45:16 · Alex as informed peer 5/10 Evaluating Google's Corporate Culture, Bureaucracy, and Leadership Alex questions Sundar Pichai's leadership style. Gaurav delivers an insider critique comparing Pichai's politically correct consensus culture to the candid, direct approach of founders Larry and Sergey.2:04–7:39 · Guest teaching 3/10 Gaurav's Academic Background and Move to Google AI Alex prompts Gaurav about his academic background at IIT and his career move from trust and safety to Google AI. The dynamic is conversational and collaborative, with Gaurav detailing his transition.7:40–12:52 · Guest teaching 4/10 Transformers, BERT, and the Genesis of Project Meena Alex tracks the chronology of the 'Attention Is All You Need' paper and the rise of BERT. Gaurav explains how BERT triggered internal interest and describes the serendipitous lunch meeting that started Project Meena.12:53–19:44 · Guest teaching 5/10 End-to-End Architectures and Early Safety Challenges Alex shares his personal reporting experience covering Microsoft's Tay bot, while Gaurav clarifies technical architecture differences between legacy pipeline models and end-to-end LLMs.19:45–29:15 · Guest teaching 5/10 Institutional Hesitation, Safety Guardrails, and Bureaucracy Alex probes why Google was hesitant to ship LaMDA despite the breakthrough. Gaurav explains the institutional fear of PR disasters, strict AI principles, and how OpenAI successfully navigated vetted releases.29:16–33:58 · Guest teaching 4/10 Exploring Practical and Creative Use Cases for LaMDA Gaurav details 8 to 10 early use cases pitched internally at Google, such as Assistant personas, video game NPCs, and custom company bots. Alex enthusiastically reacts to the gaming and avatar concepts.33:58–41:18 · Guest teaching 4/10 The Sentience Controversy, ChatGPT, and Search Dynamics Alex asks about the Blake Lemoine sentience claims and Google search cannibalization fears. Gaurav dismisses sentience as prompting bias and explains why search bureaucracy and distribution advantages insulated Google from Bing.41:19–45:16 · Guest teaching 4/10 Evaluating Google's Corporate Culture, Bureaucracy, and Leadership Alex questions Sundar Pichai's leadership style. Gaurav delivers an insider critique comparing Pichai's politically correct consensus culture to the candid, direct approach of founders Larry and Sergey.2:04–7:39 · Guest disagreement 1/10 Gaurav's Academic Background and Move to Google AI Alex prompts Gaurav about his academic background at IIT and his career move from trust and safety to Google AI. The dynamic is conversational and collaborative, with Gaurav detailing his transition.7:40–12:52 · Guest disagreement 1/10 Transformers, BERT, and the Genesis of Project Meena Alex tracks the chronology of the 'Attention Is All You Need' paper and the rise of BERT. Gaurav explains how BERT triggered internal interest and describes the serendipitous lunch meeting that started Project Meena.12:53–19:44 · Guest disagreement 2/10 End-to-End Architectures and Early Safety Challenges Alex shares his personal reporting experience covering Microsoft's Tay bot, while Gaurav clarifies technical architecture differences between legacy pipeline models and end-to-end LLMs.19:45–29:15 · Guest disagreement 2/10 Institutional Hesitation, Safety Guardrails, and Bureaucracy Alex probes why Google was hesitant to ship LaMDA despite the breakthrough. Gaurav explains the institutional fear of PR disasters, strict AI principles, and how OpenAI successfully navigated vetted releases.29:16–33:58 · Guest disagreement 1/10 Exploring Practical and Creative Use Cases for LaMDA Gaurav details 8 to 10 early use cases pitched internally at Google, such as Assistant personas, video game NPCs, and custom company bots. Alex enthusiastically reacts to the gaming and avatar concepts.33:58–41:18 · Guest disagreement 2/10 The Sentience Controversy, ChatGPT, and Search Dynamics Alex asks about the Blake Lemoine sentience claims and Google search cannibalization fears. Gaurav dismisses sentience as prompting bias and explains why search bureaucracy and distribution advantages insulated Google from Bing.41:19–45:16 · Guest disagreement 2/10 Evaluating Google's Corporate Culture, Bureaucracy, and Leadership Alex questions Sundar Pichai's leadership style. Gaurav delivers an insider critique comparing Pichai's politically correct consensus culture to the candid, direct approach of founders Larry and Sergey.2:04–7:39 · Alex pushing back 1/10 Gaurav's Academic Background and Move to Google AI Alex prompts Gaurav about his academic background at IIT and his career move from trust and safety to Google AI. The dynamic is conversational and collaborative, with Gaurav detailing his transition.7:40–12:52 · Alex pushing back 1/10 Transformers, BERT, and the Genesis of Project Meena Alex tracks the chronology of the 'Attention Is All You Need' paper and the rise of BERT. Gaurav explains how BERT triggered internal interest and describes the serendipitous lunch meeting that started Project Meena.12:53–19:44 · Alex pushing back 2/10 End-to-End Architectures and Early Safety Challenges Alex shares his personal reporting experience covering Microsoft's Tay bot, while Gaurav clarifies technical architecture differences between legacy pipeline models and end-to-end LLMs.19:45–29:15 · Alex pushing back 2/10 Institutional Hesitation, Safety Guardrails, and Bureaucracy Alex probes why Google was hesitant to ship LaMDA despite the breakthrough. Gaurav explains the institutional fear of PR disasters, strict AI principles, and how OpenAI successfully navigated vetted releases.29:16–33:58 · Alex pushing back 1/10 Exploring Practical and Creative Use Cases for LaMDA Gaurav details 8 to 10 early use cases pitched internally at Google, such as Assistant personas, video game NPCs, and custom company bots. Alex enthusiastically reacts to the gaming and avatar concepts.33:58–41:18 · Alex pushing back 2/10 The Sentience Controversy, ChatGPT, and Search Dynamics Alex asks about the Blake Lemoine sentience claims and Google search cannibalization fears. Gaurav dismisses sentience as prompting bias and explains why search bureaucracy and distribution advantages insulated Google from Bing.41:19–45:16 · Alex pushing back 2/10 Evaluating Google's Corporate Culture, Bureaucracy, and Leadership Alex questions Sundar Pichai's leadership style. Gaurav delivers an insider critique comparing Pichai's politically correct consensus culture to the candid, direct approach of founders Larry and Sergey.

speaking balance: gold is Alex, purple is the guest (3 minute bins)

0:00 · Alex 92% · guest 8%0:00 · Alex 92% · guest 8%3:00 · Alex 30.2% · guest 69.8%3:00 · Alex 30.2% · guest 69.8%6:00 · Alex 34% · guest 66%6:00 · Alex 34% · guest 66%9:00 · Alex 25.8% · guest 74.2%9:00 · Alex 25.8% · guest 74.2%12:00 · Alex 44.3% · guest 55.7%12:00 · Alex 44.3% · guest 55.7%15:00 · Alex 26% · guest 74%15:00 · Alex 26% · guest 74%18:00 · Alex 19% · guest 81%18:00 · Alex 19% · guest 81%21:00 · Alex 30.6% · guest 69.4%21:00 · Alex 30.6% · guest 69.4%24:00 · Alex 35.8% · guest 64.2%24:00 · Alex 35.8% · guest 64.2%27:00 · Alex 25.6% · guest 74.4%27:00 · Alex 25.6% · guest 74.4%30:00 · Alex 17% · guest 83%30:00 · Alex 17% · guest 83%33:00 · Alex 35.6% · guest 64.4%33:00 · Alex 35.6% · guest 64.4%36:00 · Alex 26.2% · guest 73.8%36:00 · Alex 26.2% · guest 73.8%39:00 · Alex 22.1% · guest 77.9%39:00 · Alex 22.1% · guest 77.9%42:00 · Alex 8.2% · guest 91.8%42:00 · Alex 8.2% · guest 91.8%45:00 · Alex 51.3% · guest 48.7%45:00 · Alex 51.3% · guest 48.7%48:00 · Alex 74.3% · guest 25.7%48:00 · Alex 74.3% · guest 25.7%
Sharpest disagreement ▶ 35:10 Dismissing sentience hype as user steering

Gaurav flatly rejects the idea that LaMDA was sentient, arguing the media narrative blew standard prompting and model nudging completely out of proportion.

Hardest push from Alex ▶ 39:22 Alex presses on search cannibalization and business models

Alex challenges the narrative on whether Google feared releasing chat because it lacked an ad model and questions whether the market overreacted to Microsoft Bing.

Biggest teaching moment ▶ 16:38 Gaurav explains monolithic end-to-end LLM architectures

When Alex mischaracterizes how the system routes queries between different models, Gaurav corrects him by explaining how a single unified model replaced the multi-step assembly line.

Alex holds their own ▶ 12:53 Alex recaps his firsthand reporting on Microsoft Tay

Alex demonstrates direct industry domain knowledge by sharing his scoop on Microsoft's Tay bot and its overnight failure to validate why Google was so risk-averse.

the scores for every segment, with the reasoning behind each
ChapterTopicAlex as informed peerGuest teachingGuest disagreementAlex pushing backWhy
Gaurav's Academic Background and Move to Google AI 4311 Alex prompts Gaurav about his academic background at IIT and his career move from trust and safety to Google AI. The dynamic is conversational and collaborative, with Gaurav detailing his transition.
Transformers, BERT, and the Genesis of Project Meena 5411 Alex tracks the chronology of the 'Attention Is All You Need' paper and the rise of BERT. Gaurav explains how BERT triggered internal interest and describes the serendipitous lunch meeting that started Project Meena.
End-to-End Architectures and Early Safety Challenges 5522 Alex shares his personal reporting experience covering Microsoft's Tay bot, while Gaurav clarifies technical architecture differences between legacy pipeline models and end-to-end LLMs.
Institutional Hesitation, Safety Guardrails, and Bureaucracy 5522 Alex probes why Google was hesitant to ship LaMDA despite the breakthrough. Gaurav explains the institutional fear of PR disasters, strict AI principles, and how OpenAI successfully navigated vetted releases.
Exploring Practical and Creative Use Cases for LaMDA 4411 Gaurav details 8 to 10 early use cases pitched internally at Google, such as Assistant personas, video game NPCs, and custom company bots. Alex enthusiastically reacts to the gaming and avatar concepts.
The Sentience Controversy, ChatGPT, and Search Dynamics 5422 Alex asks about the Blake Lemoine sentience claims and Google search cannibalization fears. Gaurav dismisses sentience as prompting bias and explains why search bureaucracy and distribution advantages insulated Google from Bing.
Evaluating Google's Corporate Culture, Bureaucracy, and Leadership 5422 Alex questions Sundar Pichai's leadership style. Gaurav delivers an insider critique comparing Pichai's politically correct consensus culture to the candid, direct approach of founders Larry and Sergey.

Statements from this episode (14)

Assertion Not checkable as stated
Nemade: Google teams only noticed Transformer paper after citations grew
“I think once it started garnering a lot of citations over the months and quarters, that's when people started paying attention, even inside of Google that, Hey, this transformer architecture seems amazing.”
Gaurav Nemade Oct 30, 2023 ▶ 7:49
Assertion Not checkable as stated
Nemade: BERT release triggered Google-wide rush to adopt transformers
“I think one thing that I remember specifically was the Transformers paper paper came out, but I think it started making a lot of noise when BERT was out. Like when people started seeing what BERT could essentially do. That was kind of Like a switch that went o…”
Gaurav Nemade Oct 30, 2023 ▶ 9:29
Opinion
Nemade: Microsoft Tay fears made AI safety the biggest hurdle for Google
“I think the biggest challenge that they were facing at that point of time was safety because the if you remember Microsoft Tay, That was the nightmares of Microsoft days still haven't left the valley, I feel, or at least hadn't left the valley back then. So sa…”
Gaurav Nemade Oct 30, 2023 ▶ 12:18
Assertion Not checkable as stated
Nemade: Google's early generative chatbot provided suicide methods and alcohol advice
“Like in the initial days of these generative models, as you can imagine, like we were trying to build an end-to-end model for a child bot. It would spew out all sorts of things like, Hey, what are 10 ways to do suicide? It'll give you like the best 10 ways to …”
Gaurav Nemade Oct 30, 2023 ▶ 14:11
What-if
Nemade: Google could have safely released LaMDA using OpenAI's vetted-access model
“And I think OpenAI did an excellent job with respect to that. Like, they released GPT-III, and they were like, we are just going to give access to researchers who we are going to vet. That's an amazing way to give access. Now it's kind of pretty standard way, …”
Gaurav Nemade Oct 30, 2023 ▶ 28:15
Opinion
Nemade: Google's multi-layered approval bureaucracy prevents products from shipping
“The second is, I think over the years, there were a lot of bureaucratic levels that were built inside of Google for getting approvals for when things go out. I'm not complaining that they were not necessary, but it just like they're layer after layer after lay…”
Gaurav Nemade Oct 30, 2023 ▶ 28:48
Assertion Not checkable as stated
Nemade: Google built an interactive Darth Vader AI prototype by 2020
“So we build characters like Darth Vader so we would kind of how did we do it? We used some data from Darth Vader, so the dialogue delivery was kind of similar to Darth Vader, and then we hooked up Like a moving talking head of Darth Vader, and then you actuall…”
Gaurav Nemade Oct 30, 2023 ▶ 33:14
What-if
Nemade: Google would have taken 2-4 years to ship AI without ChatGPT
“Had ChatGPT not happened, I predict that It would have taken at least two to three to four years for Google to get there just because of the bureaucracy and the speed at which things move.”
Gaurav Nemade Oct 30, 2023 ▶ 39:04
Assertion Supported
Nemade: Bing gained only about 1% market share post-ChatGPT
“Bing maybe gained, like, one percent market share before and after ChatGPT.”
Gaurav Nemade Oct 30, 2023 ▶ 40:50
Opinion
Nemade: Google has grown conservative and overly obsessed with PR
“I feel like over the years, Google has become more and more conservative about doing things. They care a lot about PR, like public relations. They care a lot about how their image is shown in the media. And I feel that at least in my experience that played so …”
Gaurav Nemade Oct 30, 2023 ▶ 41:39
Opinion
Nemade: OpenAI ships vulnerably without obsessing over PR
“And on the other side, like open AI, like they don't give a shit about PR or like for the most part, they don't like, they're like, okay, this is what we think is right. This is how we think is a reasonable way of putting it out. They be well, they become vuln…”
Gaurav Nemade Oct 30, 2023 ▶ 42:06
Opinion
Nemade: Google is stuck between bottom-up roots and top-down management
“I think Google is struggling to be A top down company when their ethos are bottoms up. I think they're kind of somewhere in the middle and they haven't figured out how to transition from being a top bottom up company to a top down company.”
Gaurav Nemade Oct 30, 2023 ▶ 43:15
Opinion
Nemade: Sundar Pichai's politically correct leadership lacks needed candor
“Versus I think I felt that Sundar's responses a lot of time were like very politically correct. I don't blame him. It's like his management style in some way, but I feel that the honest, the brutal honesty and candor, I think was something that I miss. And I f…”
Gaurav Nemade Oct 30, 2023 ▶ 44:45
Opinion
Nemade: Google's internal enterprise search was poor despite its search dominance
“Like enterprise search kind of sucks. Like even inside of Google being a search company, like we had probably the best enterprise search, but it was still pretty bad.”
Gaurav Nemade Oct 30, 2023 ▶ 47:29
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 300 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.