OpenAI: Do You Know What Open Means? Does Anyone?

July 1, 2024

green-dino_thumb_thumb_thumb_thumb_thumbThis essay is the work of a dumb dinobaby. No smart software required.

The backstory for OpenAI was the concept of “open.” Well, the meaning of “open” has undergone some modification. There was a Musk up, a board coup, an Apple announcement that was vaporous, and now we arrive at the word “open” as in “OpenAI.”

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Open source AI is like a barn that burned down. Hopefully the companies losing their software’s value have insurance. Once the barn is gone, those valuable animals may be gone. Thanks, MSFT Copilot. Good enough. How’s that Windows update going this week?

OpenAI Taking Steps to Block China’s Access to Its AI Tools” reports with the same authority Bloomberg used with its “your motherboard is phoning home” crusade a few years ago [Note: If the link doesn’t render, search Bloomberg for the original story]:

OpenAI is taking additional steps to curb China’s access to artificial intelligence software, enforcing an existing policy to block users in nations outside of the territory it supports. The Microsoft Corp.-backed startup sent memos to developers in China about plans to begin blocking their access to its tools and software from July, according to screenshots posted on social media that outlets including the Securities Times reported on Tuesday. In China, local players including Alibaba Group Holding Ltd. and Tencent Holdings Ltd.-backed Zhipu AI posted notices encouraging developers to switch to their own products.

Let’s assume the information in the cited article is on the money. Yes, I know this is risky today, but do you know an 80-year-old who is not into thrills and spills?

According to Claude 3.5 Sonnet (which my team is testing), “open” means:

Not closed or fastened
Accessible or available
Willing to consider or receive
Exposed or vulnerable

The Bloomberg article includes this passage:

OpenAI supports access to its services in dozens of countries. Those accessing its products in countries not included on the list, such as China, may have their accounts blocked or suspended, according to the company’s guidelines.  It’s unclear what prompted the move by OpenAI. In May, Sam Altman’s startup revealed it had cut off at least five covert influence operations in past months, saying they were using its products to manipulate public opinion.

I found this “real” news interesting:

From Baidu Inc. to startups like Zhipu, Chinese firms are trying to develop AI models that can match ChatGPT and other US industry pioneers. Beijing is openly encouraging local firms to innovate in AI, a technology it considers crucial to shoring up China’s economic and military standing.

It seems to me that “open” means closed.

Another angle surfaces in the Nature Magazine’s article “Not All Open Source AI Models Are Actually Open: Here’s a Ranking.” OpenAI is not alone in doing some linguistic shaping with the word “open.” The Nature article states:

Technology giants such as Meta and Microsoft are describing their artificial intelligence (AI) models as ‘open source’ while failing to disclose important information about the underlying technology, say researchers who analysed a host of popular chatbot models. The definition of open source when it comes to AI models is not yet agreed, but advocates say that ’full’ openness boosts science, and is crucial for efforts to make AI accountable.

Now this sure sounds to me as if the European Union is defining “open” as different from the “open” of OpenAI.

Let’s step back.

Years ago I wrote a monograph about open source search. At that time IDC was undergoing what might charitably be called “turmoil.” Chapters of my monograph were published by IDC on Amazon. I recycled the material for consulting engagements, but I learned three useful things in the research for that analysis of open source search systems:

  1. Those making open source search systems available at free and open source software wanted the software [a] to prove their programming abilities,  [b] to be a foil for a financial play best embodied in the Elastic go-public and sell services “play”; [c] be a low-cost, no-barrier runway to locking in users; that is, a big company funds the open source software and has a way to make money every which way from the “free” bait.
  2. Open source software is a product testing and proof-of-concept for developers who are without a job or who are working in a programming course in a university. I witnessed this approach when I lectured in Tallinn, Estonia, in the 2000s. The “maybe this will stick” approach yields some benefits, primarily to the big outfits who co-opt an open source project and support it. When the original developer gives up or gets a job, the big outfit has its hands on the controls. Please, see [c] in item 1 above.
  3. Open source was a baby buzzword when I was working on my open source search research project. Now “open source” is a full-scale, AI-jargonized road map to making money.

The current mix up in the meaning of “open” is a direct result of people wearing suits realizing that software has knowledge value. Giving value away for nothing is not smart. Hence, the US government wants to stop its nemesis from having access to open source software, specifically AI. Big companies do not want proprietary knowledge to escape unless someone pays for the beast. Individual developers want to get some fungible reward for creating “free” software. Begging for dollars, offering a disabled version of software or crippleware, or charging for engineering “support” are popular ways to move from free to ka-ching. Big companies have another angle: Lock in. Some outfits are inept like IBM’s fancy dancing with Red Hat. Other companies are more clever; for instance, Microsoft and its partners and AI investments which allow “open” to become closed thank you very much.

Like many eddies in the flow of the technology river, change is continuous. When someone says, “Open”, keep in mind that thing may be closed and have a price tag or handcuffs.

Net net: The AI secrets have flown the coop. It has taken about 50 years to reach peak AI. The new angles revealed in the last year are not heart stoppers. That smoking ruin over there. That’s the locked barn that burned down. Animals are gone or “transformed.”

Stephen E Arnold, July 1, 2024

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