"You have ChatGPT, a 1 billion-user business growing 50-100% a year, what are you doing talking about enterprise and code?" The ironic part about this is GPT models are by far the worst models to chat too. I think I rather talk to a wall than GPT-5.4. It so unpleasant. I feel bad for anyone who only experience with AI is ChatGPT.
what makes gpt 5.4 bad to chat ? To me it seems smart and does the job albeit it’s a bit slow. I’m using it only/mostly with the “pro” /xhigh reasoning
OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
41–50 of 144 posts
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#42Claude Code is extremely easy to set up and use. I suspect its saturation among software professionals is at the majority of the addressable market. What if there are no other killer apps for Enterprise? Only CC will produce the level of token churn that could drive huge profits for model providers. The Enterprise market is not as substantial as the rapid success of CC makes seem.
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#43Claude Code is extremely easy to set up and use. I suspect its saturation among software professionals is at the majority of the addressable market. What if there are no other killer apps for Enterprise? Only CC will produce the level of token churn that could drive huge profits for model providers. The Enterprise market is not as substantial as the rapid success of CC makes seem.
What about "cowork", aiming to be the claude code of excel files and pdfs and screenshotting your desktop to tell you what's wrong? Like, that feels like it's also a huge amount of token churn ("sure, I can search every xls file on your machine to find the 2023 invoice from that company"), and very early in its adaption curve. Most people are still using AI as a webpage chatbot to ask questions to and copy+paste betw…
I’ve been using these types of functions for a while for some specific use cases, and it’s super useful for this. Eg go into my budgeting app and explain to me why a certain discrepancy between forecast and actual occurred, which would otherwise cost me a huge amount of time.
I’ve also been using Cowriter AI, which actively learns from what you’re doing by taking screenshots of your screen every few seconds.
These types of utilities are just starting, they’re underexplored, and will definitely burn lots of tokens (while creating value).
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#44"You have ChatGPT, a 1 billion-user business growing 50-100% a year, what are you doing talking about enterprise and code?" The ironic part about this is GPT models are by far the worst models to chat too. I think I rather talk to a wall than GPT-5.4. It so unpleasant. I feel bad for anyone who only experience with AI is ChatGPT.
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#45Claude Code is extremely easy to set up and use. I suspect its saturation among software professionals is at the majority of the addressable market. What if there are no other killer apps for Enterprise? Only CC will produce the level of token churn that could drive huge profits for model providers. The Enterprise market is not as substantial as the rapid success of CC makes seem.
What about "cowork", aiming to be the claude code of excel files and pdfs and screenshotting your desktop to tell you what's wrong? Like, that feels like it's also a huge amount of token churn ("sure, I can search every xls file on your machine to find the 2023 invoice from that company"), and very early in its adaption curve. Most people are still using AI as a webpage chatbot to ask questions to and copy+paste betw…
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#46I was convinced they were going to go the openclaw or something similar route..pivoting into cybersec/enterprise makes sense if they are trying to copy anthropic, but it doesn't really telegraph any sort of differentiator
its telegraphing that they have no vision
AGI is not gonna come from these companies
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#47Earlier quoted context omitted.
what makes gpt 5.4 bad to chat ? To me it seems smart and does the job albeit it’s a bit slow. I’m using it only/mostly with the “pro” /xhigh reasoning
In my experience, within one reply ChatGPT (compared to Claude) tends to: * generate a lot of text * answer at least a few of what it thinks might be follow up questions * restate its original answer a few times * suggest a follow up “if you want, I can turn that into…” It feels very tedious and noisy.
Especially the “If you want” at the end of every single reply.
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#48As someone working in the enterprise space with OAI, this still feels like we're in the top of the first inning. Many teams remain anchored on equating AI with chat experiences, while a growing share of enterprise value is emerging from leasing compute clusters to run agentic workloads in containerized environments. OpenAI has built a cloud-first architecture that supports this model. The desktop experience and appli…
Look at previous killer apps- they came out quickly and were raking in money very quickly. The Apple II went on sale on June 10th, 1977. Visicalc went on sale October 17th, 1979- 860 days separate the two. Apple IPO'd in 1980 with a 21% operating margin! Netscape Navigator 1.0 released December 15th 1994, Amazon.com made its first sale July 16th 1995- 214 days later. AMZN IPO'd May 15th 1997, 883 days after Netscape 1.0 released to the public (they had raised We are already 1232 days since ChatGPT 1.0. So we're about 50% farther along than either of those killer apps. No one has figured out as good a business model for Generative AI as either of those were.
To use the other great technology transformation of the past 50 years, cell phones, I have a bit of trouble figuring out the right comparison to ChatGPT 1.0. I can work backwards from today to ChatGPT 1.0 opening up to the public, that's about the difference from the iPhone 3G (the first one with an appstore, the real killer app) to the launch of the Motorola Razr, to give you an idea of how fast mobile technology moved.
Do note that the Razr and the iPhone, like Visicalc, the Apple II, and Netscape 1.0 were hugely profitable for their companies, in a way that no one has demonstrated with Generative AI. Amazon is a bit of a special case, but they were not raising money, they were just re-investing cash that was being thrown off not as profits but into expanding the business. I don't believe that any AI company is generating cashflow the way that Amazon was in 1997, and the other companies mentioned here were GAAP-profitable.
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#49Claude Code is extremely easy to set up and use. I suspect its saturation among software professionals is at the majority of the addressable market. What if there are no other killer apps for Enterprise? Only CC will produce the level of token churn that could drive huge profits for model providers. The Enterprise market is not as substantial as the rapid success of CC makes seem.
Missing the Claude Code market was the biggest swing and miss ever. Too busy trying to make TikTok for preteens with $4/generation videos that lost their novelty the minute IP was off the table. Didn't even identify the professional market in video was the correct place to invest, like Kling and ByteDance did. Chasing consumer killed their ascendency. Sam is a ruthless leader and knows how to build an empire, but he'…
Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports
#50Claude Code is extremely easy to set up and use. I suspect its saturation among software professionals is at the majority of the addressable market. What if there are no other killer apps for Enterprise? Only CC will produce the level of token churn that could drive huge profits for model providers. The Enterprise market is not as substantial as the rapid success of CC makes seem.
What about "cowork", aiming to be the claude code of excel files and pdfs and screenshotting your desktop to tell you what's wrong? Like, that feels like it's also a huge amount of token churn ("sure, I can search every xls file on your machine to find the 2023 invoice from that company"), and very early in its adaption curve. Most people are still using AI as a webpage chatbot to ask questions to and copy+paste betw…
Tools like Claude are best at answering things when the user understands the question.