This is the only line you really need from the entire atricle:

That’s the idea behind our new OpenAI Certifications.

It is an age-old idea. People were getting Cisco, Microsoft, Oracle, AWS certificates to pad their CVs for ages. This is a legitimate way for a person to put a well known logo on their page and an easy way for companies to make a few bucks. OpenAI wants that as well.

The certificate means nothing. The course for it teaches nothing. But a CV with an OpenAI logo on it looks better than without and OpenAI wants people to pay for the privilege.

This is a funny graph. What’s the Y-axis? Why the hell DVDs are a bigger innovation than a Steam Engine or a Light Bulb? It has a way bigger increase on the Y-axis.

In fact, the top 3 innovations since 1400 according to the chart are

1. Microprocessors
2. Man on Moon
3. DVDs

And I find it funny that in the year 2025 there are no people on the Moon and most people do not use DVDs anymore.

And speaking of Microprocessors, why the hell Transistors are not on the chart? Or even Computers in general? Where did the humanity placed their Microprocessors before Apple Macintosh was designed (this is an innovation? IBM PC was way more impactful…)

Such a funny chart you shared. Great joke!

Do you have any source to back your claim?

I agree that this was poor wording on Ed’s side. He meant to point at the lack of adoption for work/business purposes, but failed to articulate this distinction. He is talking about conversion to paid users and how Google cheated to make the adoption of Gemini by corporate users to looks higher than it is. He never meant to talk about the adoption by regular people on the free tier just doing random non-work-related things.

You were talking about a different adoption metric. You are both right, you are just talking about different kinds of adoption.

I hate to break it to you. The model’s system prompt had the poem in it.

in order to control for unexpected output a good system prompt should have instructions on what to answer when the model can not provide a good answer. This is to avoid model telling user they love them or advising to kill themselves.

I do not know what makes marketing people reach for it, but when asked on “what to answer when there is no answer” they so often reach to poetry. “If you can not answer the user’s question, write a Haiku about a notable US landmark instead” - is a pretty typical example.

In other words, there was nothing emerging there. The model had its system prompt with the poetry as a “chicken exist”, the model had a chaotic context window - the model followed on the instructions it had.