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OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

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Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

#41

"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

The way it converses is the least human like out of all models. It communicates like its writing markdown documents instead of just conversing normally like every other model does. You ask a question and it spits out a design doc instead of just answering the question like a normal human would.

Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

#42

Claude 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.

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Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

#43
post #38

Claude 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…

> What about "cowork", aiming to be the claude code of excel files and pdfs and screenshotting your desktop to tell you what's wrong?

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.

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Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

#45
post #38

Claude 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 think The Verge said it the best. Taking advantage of these tools to the maximum requires you to have "software brain" which the average person does not have. They struggle to set up a simple automation in their smart home platform of choice. There is little reason to believe they will take the leap to use such tools to simplify daily tasks because it requires people to think about which daily tasks can be simplified and automated.

Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

#46
post #32

I 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

This is the key. These frontier model companies are funneling all of their time and resources into scaling, how could they possibly be researching the next phase of AI? Once scaling hits the limit the money is gonna dry up.

AGI is not gonna come from these companies

Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

#47

Earlier 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.

Yeah, this perfectly sums it up.

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

#48

As 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…

I know that people keep saying "we're early on here", but I take it as a negative signal that people keep thinking we are in the early innings here. Compared to previous generations of technology change, a great deal of time has passed, it should be a bit disconcerting that no one seems to have found a way to make money out of this yet.

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

#49
post #17

Claude 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'…

It amazed me that no one picked up on Codex last summer when it was effectively unlimited. I must have burnt through £10k worth of inference whilst still paying £20 a month

Re: OpenAI's $852B valuation faces investor scrutiny amid strategy shift, FT reports

#50
post #38

Claude 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…

Cowork is a dead end. Most people can’t operate onedrive.

Tools like Claude are best at answering things when the user understands the question.

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