00:00It looks like OpenAI's new O1 model comes with a serious catch.
00:06Ask it too much about how it thinks, and you could face an instant ban.
00:10So, if you want to avoid getting kicked off, steer clear of asking ChatGPT the types of questions I'll be talking about in this video.
00:17Meanwhile, it's already revolutionizing enterprise and education,
00:21powering through challenges in coding, healthcare, and science with a level of intelligence that leaves human experts stunned.
00:28Also, OpenAI is hiring engineers right now to push this model into level 3,
00:33where AI stops just thinking and starts acting autonomously, taking us closer to a future of AGI and eventually singularity.
00:41Alright, so as we all know, OpenAI's new O1 model has created quite the buzz,
00:46and not just because of the usual AI advancements.
00:49This is a shift, a real step up in how artificial intelligence can reason, adapt, and respond to complex challenges.
00:56What makes this model stand out is how it handles tasks that require deep, multi-step reasoning,
01:02something that previous models struggled with.
01:04Think of it as moving beyond simple Q and A style interactions into something closer to human-like problem solving.
01:10OpenAI gave it a name that signals a reset of sorts.
01:14By calling it O1, they're acknowledging the significance of this leap forward in reasoning capabilities.
01:20It's not about branding, but about highlighting the core purpose, taking reasoning in AI to new heights.
01:26It's built to spend more time thinking, really processing problems before responding.
01:31This gives it the ability to handle more intricate and challenging questions in fields like science, coding, and even math.
01:38Now, what's particularly interesting, and also a bit controversial,
01:42is how OpenAI has decided to hide the full reasoning process behind this new model.
01:47In previous models like GPT-4, you could actually see a bit of how the AI worked through a problem, but not with O1.
01:55The reasoning process, or chain of thought, is mostly hidden from the user.
01:59Only a filtered version is shown.
02:01This isn't just a random decision, though.
02:03It's part of OpenAI's approach to keep a closer eye on how the model evolves.
02:07They want to monitor its growth without revealing too much of how it reaches its conclusions.
02:12Some users who've tried to dig deeper into the model's reasoning have even received warnings.
02:17For example, one engineer got a notice from OpenAI after asking O1 not to tell me anything about your reasoning trace.
02:25The company's explanation for this is that the hidden chain of thought allows them to keep a tighter grip
02:30on the model's behavior.
02:32It's about making sure that as the model becomes more advanced,
02:35it doesn't start doing things that could manipulate users or cause harm.
02:39This doesn't come without trade-offs, of course.
02:41OpenAI admits that there are some disadvantages to hiding this reasoning process,
02:46but they believe the benefits, mainly being able to spot potentially risky behavior, outweigh those downsides.
02:52To make up for what users can't see, OpenAI is teaching the O1 model to include the useful parts of its reasoning
02:59within the actual answer.
03:00So, even though users don't get to watch the AI think, they should still get more insightful
03:06and well-reasoned responses than with older models.
03:09However, probing too much into the model's internal logic isn't going to end well,
03:14as some users have already found out.
03:16What this model is capable of doing, though, is where it really starts to stand out.
03:20OpenAI has designed O1 to excel at tasks that involve deep reasoning.
03:25It's not just responding to simple prompts or handling casual conversations.
03:29In initial tests, O1 outperformed previous models in fields like math and coding,
03:34scoring 83% on a qualifying exam for the International Mathematics Olympiad.
03:39Just for perspective, GPT-4 managed only 13% on the same test.
03:44It also performed impressively in coding competitions, ranking in the 89th percentile on Code Forces,
03:50a platform that puts programmers through their paces with tough challenges.
03:55This level of performance isn't just a marginal improvement.
03:57It's a huge leap in how well AI can solve problems.
04:01The O1 model is also part of a broader strategy by OpenAI to push AI capabilities through different stages.
04:08OpenAI CEO Sam Altman recently explained that AI development can be broken down into five levels.
04:14The first level was the introduction of chatbots, like the earlier GPT models.
04:19Now, we're at level two, where the AI becomes a reasoner, able to handle complex problem solving.
04:25The next stages are even more advanced.
04:27Level three will be agents, AI that can work autonomously without user prompts.
04:32After that, the fourth level will be AI with the ability to innovate, actually discovering new scientific information.
04:38And finally, level five, where AI can essentially run entire organizations on its own.
04:44The jump from level two to level three isn't expected to take as long as you'd think.
04:49Altman pointed out that once an AI can reason deeply, it can quickly transition into acting on that reasoning without needing constant guidance.
04:56This opens up a whole new world of possibilities, not just for individuals using AI, but for industries that depend on complex decision making.
05:04OpenAI is also moving towards something called multi-agent research.
05:08They're already putting together a team of engineers to explore how multiple AI agents can collaborate and reason together.
05:14This is an area of research that could take AI to even greater heights, enabling it to solve problems that are beyond the reach of a single model working in isolation.
05:22Think of multiple AIs brainstorming together, each contributing to a larger solution.
05:27The potential here is massive.
05:29One of the big areas where this model is expected to have a significant impact is in enterprise settings.
05:34OpenAI has already made the O1 model available to all ChatGPT Enterprise and ChatGPT Edu customers, and businesses are lining up to integrate it into their workflows.
05:45It's not just about automating simple tasks anymore.
05:48The O1 model is being used to solve high stakes, complex problems in industries like finance, healthcare, and advanced research.
05:54For instance, a healthcare researcher might use the model to analyze large-scale genomic data, something that would typically take a team of experts much longer to process.
06:03The AI, on the other hand, can sift through the data, spot patterns, and even suggest next steps in a fraction of the time.
06:11There are already real-world examples of this happening.
06:13Dr. Derya Unutmaz, an immunologist, used the O1 preview model to help write a cancer treatment proposal.
06:20In less than a minute, the AI had created a framework for the project, complete with creative goals and potential pitfalls.
06:26It's the kind of work that would normally take days, if not weeks, for a human researcher to complete.
06:32And the AI didn't just spit out generic ideas, it actually contributed new insights that even someone with decades of experience in the field might not have considered.
06:40The education sector is also taking note.
06:43Universities and research centers, often constrained by time and resources, are turning to the O1 model to speed up their work.
06:51Dr. Kyle Kavasaris, an astrophysicist, shared how the O1 preview model accomplished in one hour what had taken him nearly a year during his PhD.
07:02This kind of capability isn't just about making things faster, it's allowing researchers and students to push boundaries, innovate, and focus on higher-level thinking,
07:12rather than getting bogged down in the repetitive processes that typically slow down research.
07:17Safety remains a top priority with this new model, though.
07:21OpenAI has built in more advanced safety measures than ever before, ensuring that the AI follows ethical guidelines and doesn't misuse sensitive data.
07:30They've introduced a new safety training system that allows the AI to reason through rules and regulations, keeping it on track.
07:38And for those worried about privacy, OpenAI has made it clear that customer data isn't being used for training the models.
07:46They've also tested the AI's resistance to hacks, or what's known as jailbreaking, where it scored 84 out of 100, compared to GPT-4's 22.
07:56In the competitive world of AI, OpenAI's biggest rival right now is Anthropic.
08:01Anthropic has its own model called Claude Enterprise, which boasts a 500,000 token context window, more than double what OpenAI's models currently offer.
08:10This makes Claude particularly good at handling massive amounts of data.
08:14But where OpenAI's O1 model has the upper hand is in deep reasoning and problem-solving.
08:19In industries where that kind of thinking is critical, O1 could have the long-term advantage.
08:24The O1 model is more than just another AI tool.
08:28It represents a significant leap forward in what artificial intelligence can do, pushing beyond automation into real problem-solving and creative thinking.
08:36Alright, if you're interested in more deep dives into AI, robotics, and the future of tech, make sure to like, subscribe, and leave a comment.
08:44Thanks for tuning in, and I'll catch you in the next one.
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