⚔️ AI Showdown Alert! OpenAI has just dropped a powerful new model, and it's making Google’s Gemini Flash look like yesterday's news. 🚀 Faster, smarter, and more responsive — this model sets a new standard in AI performance. 🔍 We compare real-world tests, benchmarks, and features to see who really leads in 2025’s AI arms race. 🤖 Is Google falling behind? Or is this just the beginning of a bigger battle?
💡 Don't blink — the future of AI is evolving at lightning speed.
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00:05From launching a new AI model to working on custom AI chips,
00:08and even focusing on AI safety,
00:10there's a ton to cover, so let's get started.
00:12Alright, first up, OpenAI has just launched a brand new model called GPT-40 Mini.
00:17This model is lighter and cheaper,
00:19making it super accessible for developers
00:21who maybe don't have the budget to play around
00:23with the more expensive, full-sized models.
00:25Now, if you've been keeping up with AI,
00:27you'll know that building apps using OpenAI's models
00:30can really add up in cost.
00:32Smaller developers often get priced out
00:34and have to look for cheaper alternatives
00:36like Google's Gemini 1.5 Flash or Anthropics Claude 3 Haiku,
00:41but with GPT-40 Mini,
00:43OpenAI is stepping into the game of light models
00:45to make AI more affordable.
00:47Olivier Godemont, who leads the API platform product at OpenAI,
00:51said this model really aligns with OpenAI's mission
00:54of making AI more accessible.
00:56The idea is that if we want AI to benefit everyone,
00:59it has to be affordable.
01:01And guess what?
01:02Starting today,
01:03ChatGPT users on Free, Plus, and Team plans
01:06can switch to GPT-40 Mini instead of GPT-3.5 Turbo.
01:11Enterprise users will get access next week.
01:13This means GPT-3.5 won't be an option for ChatGPT users anymore,
01:18but developers can still use it via the API, at least for now.
01:22Eventually, GPT-3.5 will be retired from the API as well,
01:27but there's no set date yet.
01:29Godemont thinks GPT-40 Mini is going to be very popular,
01:32and honestly, it makes sense.
01:34This model supports text and vision in the API,
01:37and soon it'll handle all kinds of multimodal inputs and outputs like video and audio.
01:42The new model is quite capable, too.
01:44It scored 82% on the Measuring Massive Multitask Language Understanding
01:49MMLU benchmark, which is pretty impressive.
01:51To give you some context, GPT-3.5 scored 70%, and GPT-40 scored 88.7%.
01:59Google's Gemini Ultra holds the highest score at 90%,
02:02while Claude 3, Haiku, and Gemini 1.5 Flash scored 75.2% and 78.9% respectively.
02:10But, you know, benchmarks can be a bit tricky since the way they're administered can vary slightly from company to company.
02:17Plus, there's always the concern of AI models having these answers in their dataset,
02:22which could skew the results.
02:24Developers are already putting GPT-40 Mini to the test.
02:27For instance, a financial technology startup called Ramp used it to build a tool that extracts expense data from receipts.
02:34Instead of manually inputting data, users can now just upload a picture of their receipt and let the model do the work.
02:41Another company, Superhuman, tested the model to create an auto-suggestion feature for email responses.
02:47These examples show how a lighter, cheaper model can open up new possibilities for applications that developers couldn't afford to build with larger, more expensive models like GPT-4.
02:58So, why did it take OpenAI so long to release a lighter model?
03:02According to Goldman, it was all about prioritization.
03:05OpenAI was focused on creating bigger and better models like GPT-4, which took a lot of effort and resources,
03:12but as they noticed a trend of developers eager to use smaller models, they decided it was time to invest in something like GPT-40 Mini.
03:20And it looks like it's going to be a hit, both with existing apps that already use OpenAI's AI and new ones that were previously priced out.
03:27Alright, moving on to our next topic.
03:29OpenAI is reportedly in talks with chip designers, including Broadcom, to develop a new AI server chip.
03:35This initiative is being led by OpenAI's CEO, Sam Altman, and is part of a larger plan to boost the company's computing power for AI development.
03:44The shortage of graphics processing units, GPUs currently used for developing AI models, most of which come from NVIDIA, has been a big issue.
03:53So, developing a custom AI chip could be a game-changer.
03:56OpenAI has even been hiring former Google employees who were involved in developing Google's Tensor Processing Unit, TPU, and AI Accelerator to help with this effort.
04:06Broadcom, which worked with Google on the TPU, has the experience needed to build custom AI-related chips,
04:12making this partnership pretty exciting.
04:14While OpenAI hasn't confirmed all the details, a spokesperson did say they are having ongoing conversations with industry and government stakeholders
04:21about increasing access to the necessary infrastructure to ensure AI's benefits are widely accessible.
04:27This move to develop its own AI chips isn't entirely new.
04:31Back in September, there were reports that OpenAI was looking into this.
04:35Earlier this year, Altman had talks with SoftBank and Abu Dhabi-based G42 to raise billions for a new chip manufacturing venture.
04:44At one point, the amount they were looking to raise reportedly reached a staggering $7 trillion, which is more than the economies of Australia and Japan combined.
04:53While that figure might have been a bit too ambitious, partnering with a company like Broadcom seems far more practical and cost-effective.
05:00The main target here is obviously NVIDIA.
05:03NVIDIA has dominated the AI chip market with an estimated market share of 70% to 95%.
05:09This dominance means AI companies are heavily reliant on NVIDIA for computing power.
05:14By developing its own chips or partnering with Broadcom, OpenAI could reduce this dependency and have more control over its AI processing needs.
05:23It's also worth noting that NVIDIA's rise has been nothing short of remarkable.
05:27At one point, it was the most valuable company in the world, and even now, it's still up there among the giants like Microsoft and Apple.
05:35As AI has grown, so has NVIDIA.
05:37But having one company dominate the AI chip market isn't ideal for anyone except NVIDIA.
05:43So, OpenAI building its own chips or partnering with Broadcom could shake things up a bit and create more competition in the market.
05:50Alright, now, OpenAI has been under a lot of scrutiny lately for its rapid pace of AI development.
05:56Critics have suggested the company might be moving too fast and recklessly.
06:00In response, the company has been showcasing some new safety research to demonstrate that it takes AI safety seriously.
06:06One of the new techniques involves having two AI models engage in a conversation that forces the more powerful one to be more transparent with its reasoning.
06:15This is meant to make the AI's thought process more legible to humans.
06:20For instance, they tested this with an AI model designed to solve simple math problems.
06:25The model was asked to explain its reasoning as it solved problems, and a second model was trained to detect whether the answers were correct.
06:31This back-and-forth encouraged the math-solving model to be more forthright and transparent.
06:36OpenAI has published a paper detailing this approach, hoping that other researchers will follow up and try other algorithms.
06:43Transparency and explainability are major concerns for AI researchers, especially as models become more powerful.
06:49There's a fear that future models might become more opaque or even deceptive in their explanations, which could be dangerous.
06:56This research is part of a broader effort to understand how large language models work and to make them safer.
07:01OpenAI and other companies are also exploring more mechanistic ways of peering inside these models.
07:06However, there has been criticism that this work, while important, is incremental and doesn't address the need for more oversight of companies building these technologies.
07:16For instance, in May, it was reported that OpenAI disbanded a team dedicated to studying long-term AI risks.
07:23And shortly after, co-founder Ilya Sutskever, who was a key technical leader, left the company.
07:28This has led some to question whether OpenAI is prioritizing safety or if it's more focused on market dominance.
07:34Daniel Kokotajlo, a researcher who left OpenAI and signed an open letter criticizing the company's approach to AI safety, mentioned that the new work is important but doesn't change the fact that AI companies need more oversight.
07:46Another source with knowledge of OpenAI's inner workings echoed this sentiment, stating that the question is whether the company is serious about the processes and governance mechanisms needed to prioritize societal benefit over profit.
08:00Did you know that the computing power used to train large AI models has been doubling roughly every 3.4 months since 2012?
08:08That's a pace that would make Moore's Law blush.
08:11With OpenAI's move to develop custom AI chips, we might see this trend accelerate even further.
08:16But here's an intriguing tidbit.
08:18Despite the AI boom, only about 1% of companies are using AI in a way that significantly boosts their revenue.
08:25This gap between AI's potential and its real-world impact is where a lot of opportunities lie.
08:31The next big AI breakthrough could be just around the corner.
08:34As we watch OpenAI navigate the balance between innovation and safety, it's worth noting that the field of AI ethics is growing just as rapidly.
08:43In fact, the number of peer-reviewed papers on AI ethics has increased by over 600% in the last five years.
08:50Alright, if you enjoyed this video, make sure to hit that like button, subscribe for more updates on AI, and leave a comment down below with your thoughts on OpenAI's latest moves.
09:00Thanks for watching and I'll see you in the next one.
