Google's New UPGRADED Gemini Pro 0801 Just Blew Past GPT-4 and Shock Up the Industry!
Google has made a major comeback in AI world with it's latest model, Gemini 1.5 Pro which outperformed Open AI's GPT -4 in a recent benchmarks.
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00:00So, you know how Google's been kind of struggling in the AI world lately, right?
00:05I mean, they had some pretty rough moments, like that one time their barred chatbot gave
00:10wrong info about the James Webb Space Telescope during its first big demo.
00:14That little mess up cost Google's parent company, Alphabet, a casual $100 billion in
00:20market value.
00:21Yeah, that hurt.
00:22And don't even get me started on their Gemini image generation tool.
00:26Google were tearing it apart for historical inaccuracies and some bias issues, so Google
00:30had to pull the plug on that one really quick.
00:32With all that, it seemed like Google was falling way behind OpenAI and Microsoft, who've
00:38been absolutely killing it with their AI stuff, especially with GPT-4.0 and all the AI integration
00:43Microsoft's been doing.
00:44It was almost like Google was this giant who was stumbling, trying to keep up in a race
00:48it used to dominate.
00:49But here's the plot twist.
00:51Google just pulled off a major comeback, and it's got everyone in the AI world buzzing.
00:55They've been steadily improving their AI game, and now they've rolled out some impressive
00:59upgrades.
01:00Earlier this year, they introduced Gemini 1.5 Pro, which really shook things up, and
01:06now they're back at it with a new version.
01:08We're talking about the experimental version 0.801 of Gemini 1.5 Pro, which is now available
01:15for early testing and feedback through Google AI Studio and the Gemini API.
01:19The LMSYS chatbot arena is a popular benchmark that tests AI models on various tasks and
01:25gives them an overall competency score.
01:27In a recent evaluation, GPT-4 got a score of 1,286, and Cloud 3 wasn't far behind
01:34with 1,271.
01:35Interestingly, an experimental version of Google's Gemini model, called Gemini 1.5
01:41Pro 0.801, scored an impressive 1,300.
01:46This surpasses even the scores of its well-known competitors.
01:49For context, an earlier version of Gemini 1.5 Pro scored 1,261.
01:55While this suggests Gemini might be more capable overall, it's important to remember
01:58that benchmarks don't tell the whole story about an AI model's strengths and weaknesses.
02:03The AI community is buzzing with excitement about this latest Gemini version.
02:07Social media is flooded with users praising it as insanely good, with some even claiming
02:11it blows GPT-4 out of the water.
02:14So yeah, Google's definitely back in the game with this one.
02:17This release marks a turning point where users now have a variety of strong AI chatbot options.
02:22Ultimately, the best model for a user will depend on their specific needs and preferences.
02:28It remains to be seen if this experimental version of Gemini will become the standard.
02:33Although it's currently available to the public, its early release status means it
02:37could be modified or even taken down in the future for safety or alignment reasons.
02:42So it's safe to say that Gemini 1.5 Pro is a top contender in the world of AI models.
02:48One of its most impressive features is its ability to handle massive amounts of data,
02:53like processing up to 1 million tokens.
02:55Now, the other model they launched, Gemma 2.2b, is kind of a game-changer too.
03:00It's got 2 billion parameters, which might sound small compared to some other models
03:04out there, but this thing punches way above its weight class.
03:07It's actually outperformed models that are way bigger, like OpenAI's GPT-3.5 and even
03:13Meta's Lama 2.
03:15Google's basically showing everyone that bigger isn't always better in the AI world.
03:19It's all about how you optimize and tweak what you've got.
03:23Now, while Google is making strides with their AI models, not everything they touch turns
03:28to gold.
03:29Case in point, the Dear Sydney ad fiasco.
03:32So Google had this ad running during the Olympics on NBC where a dad uses the Gemini AI to help
03:38his daughter write a fan letter to her hero, Olympic track star Sydney McLaughlin-Levrone.
03:43Sounds harmless, right?
03:44Well, not exactly.
03:45In the ad, the dad asks Gemini to help his daughter write this heartfelt letter, and
03:49the AI goes ahead and does it.
03:51But here's where things get weird.
03:52The whole premise of using AI to write something as personal as a fan letter didn't sit well
03:57with a lot of people.
03:59Critics were quick to call it out as tone-deaf and just plain bizarre.
04:02I mean, who wants an AI-written fan letter?
04:05It's supposed to be personal, right?
04:07Something that comes from the heart, not a machine.
04:09The backlash was almost immediate.
04:11People were all over social media roasting the ad for being out of touch.
04:15Linda Holmes, a novelist and podcast host, pretty much summed up the sentiment by saying,
04:20who wants an AI-written fan letter?
04:22And honestly, she's got a point.
04:24The ad came off as a bit of a misfire, like Google was trying too hard to show off their
04:28AI's capabilities without really thinking about whether it made sense in this context.
04:33So how did Google respond?
04:34Well, they decided to pull the ad from their Olympics rotation.
04:38They said the ad tested well before it aired, but after hearing the feedback, they thought
04:42it was best to phase it out.
04:43However, they didn't completely abandon the idea.
04:46They defended it by saying their goal was to show how AI can enhance creativity, not
04:51replace it.
04:52They wanted to create an authentic story celebrating Team USA, and in their minds, the Gemini AI
04:57was just supposed to be a tool to help get the creative juices flowing, not do all the
05:01work.
05:02But even with that explanation, the damage was kind of done.
05:05The whole situation just highlighted the fine line tech companies have to walk when it comes
05:10to integrating AI into everyday life.
05:13Sure, AI can be an amazing tool, but there are some areas, like personal expression,
05:18where people might not be so keen on letting a machine take over.
05:21Not everything is great for OpenAI, either.
05:24Despite attracting significant investments, exceeding $11.3 billion since 2015 from big
05:29players like Microsoft and Sequoia, OpenAI is facing a financial tightrope walk.
05:35A recent report suggests they're on track to spend a staggering $8.5 billion this year
05:40alone, raising concerns about their long-term sustainability and even sparking whispers
05:46of potential bankruptcy.
05:47Now, what's driving these massive costs?
05:50Running cutting-edge AI models like ChatGPT doesn't come cheap.
05:54OpenAI is projected to shell out around $7 billion just to keep these models up and running.
06:00A significant chunk of this, approximately $4 billion, is dedicated to renting server
06:05capacity from Microsoft, highlighting the immense computational power required for their
06:10AI operations.
06:11An additional $3 billion is earmarked for training their AI models, including licensing
06:16agreements with news organizations like NewsCorp to access and learn from their vast content libraries.
06:21And let's not forget about their 1,500 employees.
06:25Their salaries are estimated to reach $1.5 billion this year.
06:29While OpenAI is generating revenue projected to fall between $3.5 billion and $4.5 billion
06:36this year, primarily from ChatGPT and other paid AI services, it's not enough to offset
06:41their massive expenditures.
06:43This puts them on track for a potential loss of at least $5 billion for the year.
06:48To put this into perspective, Google-backed Anthropic, a competitor, expects to burn through
06:53$2.7 billion this year.
06:56This situation has ignited concerns about OpenAI's future.
07:00Some experts are even questioning the viability of their business model, particularly with
07:04the emergence of free and open-source AI models like Meta's Llama 3.1.
07:09This model, which allows developers free access to its code, could potentially undercut OpenAI's
07:15paid offerings, especially as some businesses are already hesitant about AI's cost and
07:19accuracy.
07:20This isn't the first time OpenAI's financial stability has been questioned.
07:24Last year, reports of ChatGPT's high-running costs, nearly $700,000 per day, sparked similar
07:30concerns.
07:31However, OpenAI's strong backing from giants like Microsoft, with a $13 billion investment,
07:36offers some reassurance.
07:37Microsoft's CEO, Satya Nadella, has emphasized that their investment secures them significant
07:43rights to OpenAI's technology, ensuring continuity even if OpenAI were to face difficulties.
07:49Despite these financial challenges, OpenAI remains committed to pushing the boundaries
07:53of AI.
07:54They continue to release new products, including the AI-powered video generator Sora and the
07:58AI search engine SearchGPT, which even caused a dip in Google's stock price.
08:03OpenAI's CEO, Sam Altman, remains steadfast in his ambition to achieve Artificial General
08:08Intelligence, AGI, even if it means spending billions.
08:12He envisions AGI as highly autonomous systems that surpass human capabilities in most economically
08:18valuable tasks.
08:20In essence, OpenAI is engaged in a high-stakes gamble.
08:24They are pouring immense resources into developing groundbreaking AI, even if it means operating
08:30at a significant loss.
08:32Whether their bet pays off with the dawn of AGI or leads to financial difficulties remains
08:37to be seen.
08:38One thing is certain, the world is watching OpenAI's every move with bated breath.
08:42Alright, don't forget to hit that subscribe button for more updates.
08:46Thanks for tuning in, and we'll catch you in the next one.