On September 12th, OpenAI said in a post they “developed a new series of AI models designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math.”
The company explains some of its capabilities and how it can be integrated into a number of job markets and workplaces:
We trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes.
In our tests, the next model update performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found that it excels in math and coding. In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%. Their coding abilities were evaluated in contests and reached the 89th percentile in Codeforces competitions. You can read more about this in our technical research post.
As an early model, it doesn’t yet have many of the features that make ChatGPT useful, like browsing the web for information and uploading files and images. For many common cases GPT-4o will be more capable in the near term.
But for complex reasoning tasks this is a significant advancement and represents a new level of AI capability. Given this, we are resetting the counter back to 1 and naming this series OpenAI o1.
These enhanced reasoning capabilities may be particularly useful if you’re tackling complex problems in science, coding, math, and similar fields. For example, o1 can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows.
The company has published a number of quick demonstrations on its YouTube channel.
But experts are warning about the ramifications of this latest AI model.
Dan Hendrycks, director of the Center for AI Safety, told Newsweek, it “makes one thing clear: serious risk from AI is not some far-off, science-fiction fantasy.”
The model already outperforms PhD scientists most of the time on answering questions related to bioweapons. OpenAI continues to increase their own estimates of the risks of these models, and further increases are sure to come.
He added
Particularly when it comes to coding, Microsoft Central reported that ‘it’s quite possible that AI could reshape the coding landscape and claim jobs from developers.’
Benjamin De Kraker, an AI developer helping to train Elon Musk’s Grok AI, and creator of Final Frame AI, said in a post on X that OpenAI’s latest model will essentially displace coders and potentially cause waves of layoffs.
If OpenAI’s o1 can pass OpenAI’s research engineer hiring interview for coding — 90% to 100% rate… ……then why would they continue to hire actual human engineers for this position? Every company is about to ask this question.
He wrote
OpenAI CTO Mira Murati admitted in an interview that the rapid prevalence of AI and its impact is rendering some professions redundant and obsolete. “Some creative jobs maybe will go away. But maybe they shouldn’t have been there in the first place — you know, if the content that comes out of it is not very high quality.”
AUTHOR COMMENTARY
Daniel 12:4 But thou, O Daniel, shut up the words, and seal the book, even to the time of the end: many shall run to and fro, and knowledge shall be increased.
We’ve been covering that AI would replace an enormous amount of jobs. Sure, maybe at the moment AI might help some workers and increase hiring in certain fields, but the end goal is to replace these people. White-collar work is going to be replaced and phased-out in relatively short order.
International Monetary Fund Warns That 60% Of Jobs Will Be Affected By AI, Mostly Replaced
AI Is Set To Replace Multimillions Of Jobs According To New Surveys And Forecasts
[7] Who goeth a warfare any time at his own charges? who planteth a vineyard, and eateth not of the fruit thereof? or who feedeth a flock, and eateth not of the milk of the flock? [8] Say I these things as a man? or saith not the law the same also? [9] For it is written in the law of Moses, Thou shalt not muzzle the mouth of the ox that treadeth out the corn. Doth God take care for oxen? [10] Or saith he it altogether for our sakes? For our sakes, no doubt, this is written: that he that ploweth should plow in hope; and that he that thresheth in hope should be partaker of his hope. (1 Corinthians 9:7-10).
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Ah, the joys of companies using LLM-generated code, so that our software becomes even more unstable and harder to debug.
Can’t wait for the Lord Jesus Christ to come back to catch us away, and then make all this tech inoperable.