ChatGPT's Sam Altman Lacks Understanding of Coding, Programming, AI, and Machine Learning; OpenAI Employees Reveal Shortcomings.

Did you know that the person who say and assume the AI is superior than humans, Who argues that while it takes 20 years to raise a human; creating an AI does not and who advocates for creating AI rather than humans is actually possesses zero understanding of Coding, Programming, AI, and Machine Learning?

He simply cannot grasp these concepts. These claims have been made by several OpenAI employees themselves.

Employees at OpenAI ChatGPT, have leveled serious allegations against the company's CEO. Regarding CEO Sam Altman, they have stated that he lacks an understanding of Programming, Coding, Logic, AI, Machine Learning, and it's Related fields. Furthermore, he frequently misuses even basic technological terminology.

[**Note: There are some links that Sam Altman responsible for "Suchir Balaji" death(Ex employee of OpenAI) was found dead 1 month after accusing OpenAI Nov-26-2024.]

Recently "The New Yorker" published a report based on interviews conducted with individuals currently working within OpenAI.

- Several employees who have worked alongside Altman stated that he lacks a fundamental grasp of Coding, Logic, Programming, AI, Machine Learning and Technology in general; they assert that he cannot be accurately described as a technology expert.

"The New Yorker" report further notes that engineers within the company have also raised serious concerns, alleging that Altman misunderstanding even basic technical terms. This misuse of terminology often leads to confusion among staff members.

Employees who have worked with him also describe him as a manipulator, a trait that allows him to easily influence others. He is adept at convincing various individuals that he is a staunch ally and supporter of their interests.

Carol Wainwright, a former researcher at OpenAI, remarked that Altman is an expert at persuasion. She noted that he can effortlessly sway people's opinions often without the other person harboring even the slightest suspicion that their views are being manipulated.

Sam Altman dropped out of Stanford University before completing his studies. In 2005, after two years of studying Computer Science, he dropped out of college midway to start his own company. He is now a businessman.

An investigation was also conducted regarding the events of 2023, during which Altman was removed from the position of CEO. Many people noted that the board members did not place a great deal of trust in Altman.

My belief is that:
- He was weak in Logic, Coding, Programming, AI, Machine Learning, and Technology and found himself in difficult; this is precisely why he dropped out of his studies halfway through.

- He do not know technology, even basic technological terminology and, as a result of using incorrect terms, confuses many people. These claims have been made by several OpenAI employees themselves.

- **There are some links that Sam Altman responsible for "Suchir Balaji" death.

- This situation is exactly akin to handing over the steering wheel of your car to a driver who does not know how to drive at all—while you sit in the back seat of that car.

- It was for this very reason that the board members did not have much confidence in Altman, and he was removed from the CEO position in 2023.

Did you know that Sam Altman is gay?
Due to being gay, he is an expert at ingratiating himself with people, winning them over, and instilling a sense of trust in them. He manages to convince various individuals that he is their ally and supporter. And these are traits typically found in gay men.

What are your thoughts?

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The future is bright for software developers who write code without relying on AI tokens.

The future is bright for software developers who code without relying on AI tokens.

Think of it this way: we typically need just a few drops, a cup, or at most a small glass of water. We don't need a large glass filled to the brim. Consequently, there is absolutely no room here for entire mugs or buckets of water.

If you look at the current landscape, a significant portion of the work attributed to AI is actually executed using Python.

Note: Many people are currently unaware that AI generates its output by utilizing Python.

For instance, video creation tools often rely on FFMPEG.

So, if you know how to use FFMPEG, you can create videos from images, trim video clips, add audio tracks to videos, and extract or cut audio segments from them.

You can do exactly the same thing yourself.

I recently completed a project for a client involving the creation of videos from images all without using any AI software whatsoever.
I myself accomplished the entire task using FFMPEG.

AI companies have developed their respective software platforms and are now essentially sitting on them; they aren't generating any sales. That is precisely why they have manufactured such an immense amount of hype. If you pause to reflect on your own life experiences, you will realize that you have likely never witnessed a level of hype comparable to the one these AI companies have manufactured.

These AI companies are constantly battling amongst themselves even filing lawsuits against one another. They are all insatiably hungry for money.

They are failing to recoup the substantial costs incurred in developing their software not to mention the additional expenses involved in maintaining it.

This is the primary reason why these AI companies are generating such hype.

If you were to ask anyone right now provided they answered honestly they would tell you that they are not satisfied with the output generated by AI.

Amidst all this, there are some shrewd individuals who are making minor tweaks to their existing software or websites simply slapping on an "AI" logo or tag and selling them as AI-powered tools, even though their software utilizes absolutely no AI whatsoever.

So, the future is bright for software developers who write code without relying on AI tokens.

What is the rush to get work done that you have to use AI every single time?

Have some respect for time, brother.

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Truth about AI Chatbot which you install on your website

Real Reality of AI chatbot.

People often assume that simply installing an AI chatbot on their website is a brilliant idea. However and this is a crucial point, your chatbot is actually hindering users from sharing their feedback, ideas, logical issues and reporting critical bugs.

It presents users with irrelevant options, unnecessarily keeping them occupied and wasting their time. Consequently, users become frustrated; they either abandon the site without reporting the issue or bug, or even if they somehow manage to successfully share it they vow never to return to your website again, no matter how excellent your products or services may be.

As a result, the exchange of bug reports, essential information, and user feedback is effectively stifled.

Instead of saving your users' time, your chatbot is actually wasting it.

After installing AI chatbot you can notice that support tickets dramatically reduce but in reality user frustrate about this AI chatbot and leave the bug, issues etc. this is the reality and companies think they are doing good. and slowly... slowly their business gets losses.

Most importantly, AI chatbot acts as a barrier to the sharing of valuable insights and critical bugs. This ultimately results in significant losses for both the website owner and the business owner.

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FFMPEG is the unsung hero of almost every AI video platform on the planet. Videos creating using AI is not a rocket science, FFMPEG is behind it

FFMPEG is the unsung hero of almost every video platform on the planet. Videos creating using AI is not a rocket science, FFMPEG is behind it.

People often forget that behind the “magic” of AI, there is a lot of standard,  reliable engineering like FFMPEG holding it all together.

20 Years of Dominance of FFMPEG:

FFMPEG has been in development for over 20 years. It supports nearly every codec and format known to man, which is why every major AI company uses it in their pipelines.

In video and image generation FFMPEG is the muscle. If you want to understand video generation, start by understanding FFMPEG.

Creating videos using AI isn’t rocket science:

Creating videos using AI isn’t rocket science; FFmpeg is the engine behind it. AI doesn’t just “magically” generate videos. Instead, models like Diffusion or Transformers create a series of images by predicting what the next pixel or frame should look like based on mathematical patterns.

Simply put, AI generates a sequence of images, and FFMPEG does the heavy lifting to turn those frames into a video.

FFMPEG is king. If you know how to use it, you can manipulate video just like the big AI companies do.

Every major AI company uses FFMPEG in their pipeline because it has 20 years of development and supports nearly every codec known to man.

#FFmpeg

#FFMPEG

#VideoEngineering

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