#chatgpt #openai OpenAI recently upgraded ChatGPT with a new version called GPT-4o-latest, making it faster and more accurate, though they announced it quietly. This update has improved ChatGPT's reasoning and creativity, while the new AI model, Falcon Mamba 7B, offers an innovative architecture for handling longer texts efficiently. Both developments are pushing the boundaries of AI, setting new benchmarks in the industry.
#openai #chatgpt OpenAI just stealth-dropped a major ChatGPT upgrade—and early testers say it’s faster, smarter, and scarily human-like. Was this a silent test… or the calm before the AI revolution?
🔥 What’s NEW? ✔️ Blazing Speed – Responds instantly, almost like a real conversation ✔️ Next-Level Reasoning – Solves complex problems ChatGPT-4 struggled with ✔️ "Emotional" Nuance – Detects tone, humor, and sarcasm better than ever ✔️ Stealth Launch – No official announcement… Why the secrecy?
⚠️ The BIG Questions:
Is this GPT-4.5… or GPT-5 in disguise?
Are we seeing AGI (Artificial General Intelligence) creeping closer?
How long until this replaces jobs? (Writers, coders, customer service…)
00:00If you've been feeling like your AI buddy's been acting a bit different lately,
00:06maybe quicker, sharper, and just a tad smarter, you're not alone.
00:10OpenAI has been sneaky, rolling out some major changes without a big announcement,
00:14but don't worry, I've got all the details you need to know right here.
00:18So let's talk about it.
00:19Last week, I started noticing that ChatGPT felt different.
00:23It was like the responses were more on point, faster, and just generally better.
00:28I wasn't the only one either.
00:30People all over social media were talking about how ChatGPT seemed to be upgraded.
00:34But here's the thing, OpenAI didn't say a word about it at first.
00:38It was all very hush-hush until they finally dropped a little bombshell on us.
00:42OpenAI took to X to casually mention that they'd slipped in a new version of their GPT-4O model into ChatGPT.
00:50So they just updated the model we've all been using without making a big deal about it.
00:55The message was simple.
00:56There's a new GPT-4O model out in ChatGPT since last week.
01:00Hope you all are enjoying it and check it out if you haven't.
01:03We think you'll like it.
01:04That's it.
01:05No fancy press release, no grand unveiling, just a tweet.
01:08Typical OpenAI, right?
01:09Now if you're wondering what's so special about this new model, let's break it down.
01:13The updated version of GPT-4O, which they're calling ChatGPT-4O Latest, is essentially a fine-tuned and optimized version of what we had before.
01:23But here's where it gets interesting.
01:24While OpenAI hasn't spilled all the beans, there's a lot of speculation about what this new model actually is.
01:31Some people out there are thinking this might be part of a bigger strategy by OpenAI to release different sized models.
01:38Kind of like what Google and Anthropic are doing, there's been talk about a GPT-4O large, and some think this latest update could be a stepping stone in that direction.
01:49But I'm not totally sold on that idea because, let's be real, if it were a brand new model, they probably would have hyped it up a lot more.
01:55So what can this new model do?
01:57Well, from what I've seen and what others have reported, it's performing better on tasks that require complex reasoning and creativity.
02:04Like, if you've been asking ChatGPT to help with coding or solve tricky problems, you might have noticed it's just a little bit sharper now.
02:11It's also faster, which is a nice bonus, but of course, it's not perfect.
02:15There are still some weird quirks.
02:17For example, in one test, the model was asked to stack a book, nine eggs, a laptop, a bottle, and a nail in a stable manner.
02:24The solution? It suggested putting nine eggs on top of a bottle.
02:28I mean, come on, who does that?
02:30And then when it was asked how many R's are in the word strawberry, it came back with two, which is definitely wrong.
02:37So yeah, there are still some bugs to work out, but overall, the update is a step in the right direction.
02:42Now, talking about strawberry, let's talk about something that's been generating a lot of hype Project Strawberry.
02:48The idea behind Project Strawberry is that it could be a new post-training method that boosts the model's reasoning skills.
02:54Some people are even saying that the improvements we're seeing in ChatGPT might be the first signs of this mysterious project in action.
03:01One of the coolest things about the new ChatGPT 4.0 latest model is how it handles multi-step reasoning.
03:07This basically means the AI isn't just jumping to conclusions.
03:11It's thinking things through, step by step, before it gives you an answer.
03:15That's a pretty big deal because it leads to more accurate and thoughtful responses, which is something we all want, right?
03:21The new model has already made waves in the AI community, especially in something called the LMSYS leaderboard.
03:28Now, if you're not familiar with it, the LMSYS leaderboard is like the Olympics for AI models.
03:33They put different models head-to-head in all sorts of tasks.
03:37And the new ChatGPT 4.0 latest model just crushed it.
03:40It scored a whopping 13-14 points, which is the highest score ever recorded on that leaderboard.
03:45This means it's outperforming some of the biggest names in the game, like Google, Anthropic, and Meta.
03:50Now, if you're thinking, how do I get my hands on this new model?
03:54Well, it's super easy.
03:55OpenAI has already swapped out the old GPT 4.0 with the new version in both the ChatGPT website and app.
04:02So, all you have to do is fire up ChatGPT and you're good to go.
04:07If you're on the free plan, you might hit some message limits.
04:09But for those of you who are on the plus plan, you can push the model to the limit and really see what it can do.
04:15But don't worry if you're not ready to shell out the $20 a month for the plus plan.
04:19You can still get a good feel for the new model before you hit those limits.
04:22And then, if you run out of messages, you can switch over to GPT 4.0 Mini.
04:27It's not quite the same, but it's still pretty powerful.
04:30Also, one more really interesting thing is how OpenAI has been testing these updates.
04:35They've been sneaking experimental models into places like the LMSY's ChatBot Arena under random names,
04:41so people don't even realize they're testing new tech.
04:43The ChatGPT 4.0 latest model, for example, was tested under the name Anonymous ChatBot,
04:49and it got over 11,000 votes from users.
04:52That's a lot of people unknowingly helping out with the testing,
04:55which just goes to show how clever OpenAI's approach is.
04:58So, what's next?
04:59Well, if this update is anything to go by, we can expect OpenAI to keep refining and improving ChatGPT.
05:04They're clearly focused on making it better at reasoning, creativity,
05:07and all those tasks that require a bit more brainpower.
05:09And who knows? Maybe we'll see even more of Project Strawberry in the future.
05:14All right, now I also want to talk about a new AI model that just came out,
05:18but it didn't really get the attention it deserves.
05:20This model, called Falcon Mamba 7B, was released by the Technology Innovation Institute, TII, in Abu Dhabi.
05:27TII is known for working on cutting-edge technologies like AI, quantum computing, and robotics,
05:33and now they've dropped this new model.
05:35It's available on Hugging Face, and it's an open-source model, which is pretty cool,
05:40but what really sets it apart is the new architecture it's using.
05:43Most of us are familiar with transformer models, which have been dominating the AI scene for a while now,
05:48but Falcon Mamba 7B uses something different, called the Mamba State Space Language Model, SLM architecture.
05:56This new approach is quickly becoming a solid alternative to those traditional transformer models.
06:01Now, why is this important?
06:03Well, transformers are great, but they have some issues,
06:06especially when it comes to handling longer pieces of text.
06:09You see, transformers use an attention mechanism that looks at every word in a text
06:14and compares it to every other word to understand the context.
06:17But as the text gets longer, this process demands more and more computing power and memory.
06:22If you don't have the resources to keep up, the model slows down and struggles with longer texts.
06:28This is where SSLM comes in.
06:29Unlike transformers, SSLM doesn't just rely on comparing words to each other.
06:34Instead, it continuously updates a state as it processes the text.
06:39This means it can handle much longer sequences of text without needing a ton of extra memory or computing power.
06:45Now, Falcon Mamba 7B uses this SSLM architecture,
06:49which was originally developed by researchers at Carnegie Mellon and Princeton Universities.
06:53What's cool about this model is that it can dynamically adjust its parameters based on the input
06:57so it knows when to focus on certain parts of the text and when to ignore others.
07:02So, how does Falcon Mamba 7B stack up against the big players like Meta's Llama 3.8B, Llama 3.18B, and Mistral 7B?
07:11TII ran some tests, and the results are pretty impressive.
07:14In terms of how much text the model can handle,
07:17Falcon Mamba 7B can fit larger sequences than the Transformer models using just a single 24GB A10 GPU.
07:26This means it can theoretically handle infinite context length if you process the text token by token or in chunks.
07:33And again, Falcon Mamba 7B came out on top.
07:35It beat Mistral 7B's sliding window attention architecture by generating all tokens at a constant speed
07:41without any increase in memory usage.
07:43And that's a big deal for anyone working with large-scale AI tasks
07:45because it means the model is both fast and efficient.
07:49Even when it comes to standard industry benchmarks, Falcon Mamba 7B holds its own.
07:54In tests like ARK, TruthfulQA, and GSM8K, it outperformed or matched the top Transformer models.
08:00Sure, there were a couple of benchmarks, like MMLU and HellaSwag, where it didn't quite take the lead,
08:06but it was still right up there with the best of them.
08:08But here's the thing, this is just the beginning for Falcon Mamba 7B.
08:13Tichu has big plans to keep optimizing the model and expanding its capabilities.
08:18They're not just stopping at SSLM, they're also pushing the limits of Transformer models to keep driving innovation in AI.
08:24So if you're into AI or just curious about what the future holds, keep an eye on Falcon Mamba 7B.
08:30It's already making a name for itself, and with TII's continued efforts, it's only going to get better.
08:35Plus, with over 45 million downloads of their Falcon models, TII is proving that they're a major player in the AI world.
08:43Alright, if you found this interesting, make sure to hit that like button, subscribe, and stay tuned for more AI insights.
08:50Thanks for watching, and I'll catch you in the next one.
