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It's definitely a tough situation when health and business overlap like this.

PLTR is definitely making waves!

DeepSeek is getting some serious attention lately!

Humans have a natural ability to read between the lines and pick up on social cues, but when AI tries to do the same, it can feel a bit creepy or manipulative. It's a tricky balance between personalization and privacy, and clearly, Meta’s AI missed the mark on that.

I haven’t explored Glambase yet-how does it compare to Meta’s approach in terms of accuracy and reliability?

Interesting take! It raises a good question-should any one entity have the power to redefine something as monumental as AGI? It seems like a decision that could use more input from the wider AI community. Curious to hear your thoughts-who should define AGI?

Boeing

Interesting breakdown. It’s definitely plausible that someone in that position would take those steps to ensure critical information gets out, especially in high-stakes scenarios. The idea of leveraging scheduled emails or pre-recorded videos adds another layer to digital whistleblowing. Do you think more people in risky positions should prepare these kinds of contingencies, or is it just paranoia?

There’s definitely a unique blend of historical and modern critique in your comment. The discussion around intellectual property, especially in AI, feels a lot like what you’re hinting at - are we overcomplicating concepts that have always existed in nature or human ingenuity? Also, the cultural references are interesting. How do you see this playing into how we regulate AI and digital creations today?

I think you're onto something. OpenAI's shift toward a more profit-driven model definitely raises questions about sustainability. Do you think their new AGI definition is a way to attract more investors, or is it a realistic metric for progress? Curious to hear your thoughts.

Yes.😁 (these are the things I’ve waited my whole life for)

I get the frustration with soulless AAA games - no one wants a copy-paste cash grab. But I wouldn’t write off AI entirely. If it’s used right, AI could help small indie devs with tedious tasks so they can focus on creativity and storytelling. Sure, if it’s just about pumping out AI-generated fluff, it’ll flop. But tech’s a tool - it all depends on how it’s used. What do you think?

​@@TheAIPulse12It's fairly common in games now to use AI voices if you can't afford to pay a voice actor, and I've seen people calling for its use in fan mod projects. For the other parts of game development, the thing that AI is missing right now is consistency. The same way generated videogames lose track of the game state as soon as you look away, AI animations and portraits struggle to keep faces, art styles, and details consistent between frames. I predict this is the kind of problem we'll only solve slowly after the hype curve has already crashed. It's the kind of consideration tech companies won't recognise the need for and won't think it's worth putting the time into until all the investors have moved on.

You're spot on about consistency being the big hurdle right now. AI-generated content can look impressive on the surface, but when it comes to things like maintaining art style or keeping animations coherent between frames, it falls short. I think you’re right-it’s going to take time, and probably won’t happen until the initial hype wears off and companies start looking at long-term solutions rather than quick wins. What kind of use cases do you think will survive once the dust settles?

Your comment won't age well. AI is the future of gaming whether you like it or not. It might not be ready yet, but it's only a matter of time before it happens. Also, it's true that some people are against AI, but the average gamer won't give a crap as long as the games are fun and addicting. AI haters are loud, but they are a minority.

Absolutely! It’s early days, but the potential is huge. Let’s see how far this tech can go!

Interesting take! Curious - why do you think nothing is coming next? AI’s been moving fast, wouldn’t you agree?

@@TheAIPulse12 Computers including software and hardware has limits. All they have done is repackage what they already have like "thinking" which is just a prompt loop. Then you have o3 which has reasoning which is basically just tokens and it does multiple rounds of thinking. They will figure out more ways to repackage stuff but it o1 is logically flawed and it will hit limits and stop eventually. I have worked in startups, they do this stuff to keep investors interested, its repackaged but basically the same. It will just loop - go get data its trained on, loop - go get data its trained on and continually provide bad and good output, but inconsistent.

@@codewithstephen6576 Good points on the limits of hardware and software - I definitely agree those constraints are real. What you’re calling ‘repackaging’ seems more like a crack at the iterative process OpenAI is taking, which I think is smart. Incremental change often gets the best ROI, especially in product development. As someone who works in infrastructure and Scrum, I appreciate seeing Sam Altman posting on X for feedback. It’s interesting how user priorities don’t always match the roadmap. What I’m curious to see is whether they adapt based on that feedback or stick to their plan. Full overhauls can backfire if users don’t find value, so steady iteration makes more sense in the long run. Thoughts?

@@TheAIPulse12 Yeah I agree, but they are polishing a turd. The code looks good and can even work, but later you find out its extremely flawed and buggy. But there is definitely a product in there. If you notice during there 12 days of open ai, they quickly covered up for issues. At the end of the day this thing just spits out data based on patterns it finds in its data, unless it can actually think, its faster for me to code myself. But its handy using it as a duck or something to get feedback from and help thinking process. Open Ai as a search engine could easily replace google. There could also be a global issue, companies will not hesitate to replace everyone if this ever gets to a 90-100% reliability level. As far as society goes this obviously is bad.

@codewithstephen6576 Demos can be funny that way - if I had a nickel every time a demo went sideways, I'd be rich. 'Nothing to see here, LOL.' You make a great point about AI versus manual coding. There's definitely still a lot of truth to the idea that it's faster to write code yourself in many cases. I see AI as an amazing debugging tool and a great way to build scaffolding for code, but you still need to refine the details by hand. You can usually tell when code is written entirely by AI - it makes some interesting choices, let’s just say. That said, where AI really shines for me is in recognizing patterns. For example, it’s fantastic for reviewing walls of logs when debugging or quickly ideating on how to solve a problem more efficiently. As for replacing people, it's more complicated than it looks. Sure, some companies will jump on the AI hype train and think getting things 90% right is 'good enough' to start cutting jobs. We’ve already seen cases where businesses rushed to replace their CSRs with chatbots backed by GPT, pulling from their knowledge base and just kind of YOLO-ing it. But that’s going to backfire hard. The companies that take the time to actually understand where AI adds value - like automating repetitive tasks to free up their human talent to think creatively and solve bigger problems - will be the ones that come out ahead. It’s not about blindly swapping people for bots; it’s about using AI as a force multiplier for human potential. That said, you're right that some companies will take the short-sighted route and think 90% accuracy is good enough to start cutting jobs. But in the long run, I think they'll feel the pain. It's not just about getting answers right - it's about trust, user experience, and long-term value. That's where I think human involvement will always matter.

Absolutely! The future of AI and quantum tech is exciting-definitely a ride worth holding onto your hat for!

Bold of you to dismiss it without understanding it. Maybe give it a second watch before jumping to conclusions.

@you assume you understand it but have to admit you don’t have a clue when asked to explain why something happens. You are a parrot who tells others the world is flat because you were told so. You have done no research of your own and even their own results break logic yet you spew it out as if it was logical. As if we are dumb for making you explain the magic you claim to understand 😂 Nice video repeating every talking point puked up by magic sayers over the last 30 years. If this isn’t AI; then AI has reached the level you are at. Well done both of you. Almost human

Impressive rant, but it’s clear you’re more interested in hearing yourself talk than actually learning anything. Come back when you're done projecting.

@@TheAIPulse12 AI Voice-over without any links to sources? What a load of garbage in garbage out, reported for misinformation.

Reported for misinformation? How original. Maybe try watching the video first before throwing baseless accusations around.

You're absolutely right that the 'leveraging parallel dimensions' idea is a popular oversimplification. Quantum computers don't literally use parallel dimensions but instead rely on principles like superposition and entanglement. Also, your point about NP problems not being fully solvable within BQP is spot on-quantum computing provides speedups for specific problems (like factoring with Shor's algorithm) but doesn't encompass all NP problems. Just a small clarification: 'QBP' is likely a typo for 'BQP' (Bounded-error Quantum Polynomial time). Great insight!

@@BruceWayne15325 Totally agree-AI video has a lot of potential but still feels experimental at this stage. Do you think it will ever hit the quality and affordability that make it a no-brainer for creators?

@@TheAIPulse12 I have no doubt. If you look at AI music and AI artwork for example, they are already no-brainers for professionals in those fields. Sure they aren't perfect, but they are fast enough that you can get what you want in much less time than it would take to create it from scratch. Usually I get it "close enough" then finish off with Affinity Photo 2 or a DAW for audio.

I completely agree, and it's already showing potential for professional use. For example, I’ve used Sora to animate my channel logo for CTAs, and it works great for smaller tasks like that. It definitely needs more time to mature for larger projects, but the foundation is there.

Quantum encryption could definitely be the next leap in securing data against quantum computing threats. Do you think it will be adopted widely before quantum computers become mainstream?

They will probably just change Bitcoin from "Proof of Work" to "Proof of Stake"

Do you think quantum advancements pose a genuine threat to Bitcoin, or will the ecosystem adapt quickly enough to withstand it?

Transitioning to Proof of Stake would be monumental for Bitcoin

Pow will go eventually and BlackRock/Saylor would become king, quantum computing would however not affect that transition. Smart contracts would allow locking mechanisms other than private keys.

The rise of quantum computing could definitely bring about some fascinating changes to the ecosystem, but it’ll be interesting to see how smart contracts and other mechanisms evolve to address these challenges.

@Jack0trades yeah, this video is a few months old... just goes to show how fast AI is progressing!

@@TheGeneral_LUFC Downfall might be a bit dramatic-technology has always had risks, but it’s also brought us incredible progress. It’s about how we manage and regulate it!

@@xswords You’ve highlighted a key issue: the difference between processing vast amounts of data and truly adaptive intelligence. Interestingly, after this video was released, OpenAI redefined AGI, shifting its focus from traditional notions of intelligence to systems capable of generating at least $100 billion in profits. This new definition ties AGI to measurable economic impact rather than purely cognitive benchmarks. While this change grounds AGI in tangible outcomes, it also opens up a broader debate. Does this profit-based redefinition address the foundational question you raised-"how do we teach a machine to learn new things by itself?"-or does it sidestep it entirely? If we measure AGI by its economic output, does that risk ignoring the deeper breakthroughs required to achieve true human-like adaptability? I’d love to hear your thoughts. Does this redefinition address any of the gaps you mentioned, or does it only deepen the divide between current AI capabilities and true AGI?

@@carloinnamorati5897 You bring up a valid concern about compute resources-scaling isn’t cheap, and it raises important questions about practicality and accessibility. While I focused on the controversy and skepticism, compute efficiency is definitely worth discussing further.

@@EtienneFortin Benchmarks can definitely paint a limited picture if they're not linked to practical use cases. Transparency and broader validation would help clear up doubts.

Transparency would definitely add more credibility to their achievements.

Thanks so much! Glad you found it informative-your support means a lot!

@gautamkumar-li7ey Thanks for noticing! Sometimes the algorithm takes a little time to catch on. Appreciate your support-every view and comment helps!

The $200 price tag does seem steep. Do you think it could be worth it if the features improve?

People often resist change in new fields until they see the value it can bring. AI has the potential to highlight true talent while automating repetitive tasks. Thanks for sharing your insight!

Let them get chipped instead😂😂😂😂

Believing anything they want😂😂😂😂

Thanks for sharing your thoughts! It’s always fun to see different takes on tech and AI. Feel free to elaborate if there’s a specific point you’re making!

Yes I think Gemini 2.0 is the future of ai it is really good 👍😊

Good

Good video, but the blips are annoyingly loud

Thanks for bringing this up! The material is used under fair use for illustrative and educational purposes. If there are any concerns, I’d be happy to discuss further!

@@loudognation Totally agree! Suno and Udio are paving the way for AI-powered music, and it’s exciting to see how Fugato might add to that potential!

@@GrowStackAi Couldn't agree more! The possibilities with AI today are laying the foundation for incredible breakthroughs tomorrow. 🔥