when

James

OpenAI recently released a “reasoning” AI model – o1, but it is already rocked with basic errors, according to the company’s new ad. 
The ChatGPT maker released what it has termed its most advanced model to date for paying subscribers kicking off its “<a href="https://openai.com/12-days/" rel="nofollow noopener" target="_blank">12 Days of OpenAI</a>” event, which is a series of releases to celebrate the holiday season. 
<h3 id="an-openai-demo-video-suggests-the-model-is-prone-to-errors">An OpenAI demo video suggests the model is prone to errors</h3> 
According to a video OpenAI released to show the model’s strengths, a user uploads an image of a wooden birdhouse and then asks the model for some advice on how to build a similar one. The “reasoning” model appears to “think” for a moment before giving out what appears to be a set of instructions. 
<a href="https://time.com/7200289/openai-demo-shows-reasoning-ai-making-basic-errors/" rel="nofollow noopener" target="_blank">Upon a closer look</a>, the instructions appear to be a waste of time. The model measures the required material for the task such as paint, glue, and sealant but it only provides dimensions for the front panel of the birdhouse. 
The model suggests cutting a piece of sandpaper to another set of dimensions that are not necessary. Additionally, the model states that it is giving “the exact dimensions” but gives no exact dimensions, contrary to its earlier claims. 
James Filus, the director of the Institute of Carpenters, a UK-based trade body also exposed the model’s errors, such as tools that are needed but missing from o1’s list for instance a hammer. 
<blockquote>
 “You would know just as much about building the birdhouse from the image as you would the text, which kind of defeats the whole purpose of the AI tool.” 
 Filus.
</blockquote> 
Additionally, Filus also revealed that the cost of building the same birdhouse would be “nowhere near” the $20 to $50 that the model estimated. 
<h3 id="the-openai-model-does-the-opposite-of-the-intended-use">The OpenAI model does the opposite of the intended use</h3> 
The o1 case adds to other examples of AI models’ product demos where they do the opposite of the intended purpose. In 2023, a Google <a href="https://www.reuters.com/technology/google-ai-chatbot-bard-offers-inaccurate-information-company-ad-2023-02-08/" rel="nofollow noopener" target="_blank">advert</a> for an AI-assisted search tool wrongfully indicated that the James Webb telescope had made a discovery it had not. This mistake resulted in the company’s stock price dropping. 
This was not all from the search engine giant as recently an updated version of a similar Google tool told users that it was <a href="https://time.com/6989928/ai-artificial-intelligence-hallucinations-prevent/" rel="nofollow noopener" target="_blank">safe to eat rocks</a>. It also claimed that users could use glue to stick cheese to their pizza. 
Despite the mistakes, the o1 model, according to the public benchmarks, remains OpenAI’s most capable model to date. It also takes a different approach from ChatGPT when answering questions. 
According to Time, o1 is still a very advanced next-word predictor as it was trained using machine learning on billions of words of text from the internet and beyond. 
The model uses a technique known as “chain of thought” reasoning to “think” about an answer for a moment behind the scenes and gives its answer only after that. This is different from just giving out words in response to a prompt. 
This helps the model give more accurate responses as opposed to a case where it just spits out words in response to user queries. 
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OpenAI’s most recent “reasoning” model in basic errors

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