#artificial intelligence developer

[mindcrewtechnologies]

In an era where technological advancements are the catalysts of progress, integrating Artificial Intelligence (AI) and Machine Learning (ML) into business operations has become imperative for sustained growth and adaptability. This blog delves into the symbiotic relationship between AI and business development, shedding light on how leveraging AI solutions can future-proof your enterprise.

[nixcraft]

[sag-dab-sar]

Clarification: Generative AI does not equal all AI

💭 "Artificial Intelligence"

AI is machine learning, deep learning, natural language processing, and more that I'm not smart enough to know. It can be extremely useful in many different fields and technologies. One of my information & emergency management courses described the usage of AI as being a "human centaur". Part human part machine; meaning AI can assist in all the things we already do and supplement our work by doing what we can't.

💭 Examples of AI Benefits

AI can help advance things in all sorts of fields, here are some examples:

Emergency Healthcare & Disaster Risk X

Disaster Response X

Crisis Resilience Management X

Medical Imaging Technology X

Commercial Flying X

Air Traffic Control X

Railroad Transportation X

Ship Transportation X

Geology X

Water Conservation X

Can AI technology be used maliciously? Yeh. Thats a matter of developing ethics and working to teach people how to see red flags just like people see red flags in already existing technology.

AI isn't evil. Its not the insane sentient shit that wants to kill us in movies. And it is not synonymous with generative AI.

💭 Generative AI

Generative AI does use these technologies, but it uses them unethically. Its scraps data from all art, all writing, all videos, all games, all audio anything it's developers give it access to WITHOUT PERMISSION, which is basically free reign over the internet. Sometimes with certain restrictions, often generative AI engineers—who CAN choose to exclude things—may exclude extremist sites or explicit materials usually using black lists.

AI can create images of real individuals without permission, including revenge porn. Create music using someones voice without their permission and then sell that music. It can spread disinformation faster than it can be fact checked, and create false evidence that our court systems are not ready to handle.

AI bros eat it up without question: "it makes art more accessible" , "it'll make entertainment production cheaper" , "its the future, evolve!!!"

💭 AI is not similar to human thinking

When faced with the argument "a human didn't make it" the come back is "AI learns based on already existing information, which is exactly what humans do when producing art! We ALSO learn from others and see thousands of other artworks"

Lets make something clear: generative AI isn't making anything original. It is true that human beings process all the information we come across. We observe that information, learn from it, process it then ADD our own understanding of the world, our unique lived experiences. Through that information collection, understanding, and our own personalities we then create new original things.

💭 Generative AI doesn't create things: it mimics things

Take an analogy:

Consider an infant unable to talk but old enough to engage with their caregivers, some point in between 6-8 months old.

Mom: a bird flaps its wings to fly!!! *makes a flapping motion with arm and hands*

Infant: *giggles and makes a flapping motion with arms and hands*

The infant does not understand what a bird is, what wings are, or the concept of flight. But she still fully mimicked the flapping of the hands and arms because her mother did it first to show her. She doesn't cognitively understand what on earth any of it means, but she was still able to do it.

In the same way, generative AI is the infant that copies what humans have done— mimicry. Without understanding anything about the works it has stolen.

Its not original, it doesn't have a world view, it doesn't understand emotions that go into the different work it is stealing, it's creations have no meaning, it doesn't have any motivation to create things it only does so because it was told to.

Why read a book someone isn't even bothered to write?

Related videos I find worth a watch

ChatGPT's Huge Problem by Kyle Hill (we don't understand how AI works)

Criticism of Shadiversity's "AI Love Letter" by DeviantRahll

AI Is Ruining the Internet by Drew Gooden

AI vs The Law by Legal Eagle (AI & US Copyright)

AI Voices by Tyler Chou (Short, flash warning)

Dead Internet Theory by Kyle Hill

-Dyslexia, not audio proof read-

[rthidden]

What is an Algorithm in 30 Seconds?

An algorithm is simply a series of instructions.

Think of a recipe: boil water, add pasta, wait, drain, eat. These are steps to follow.

In computer terms, an algorithm is a set of instructions for a computer to execute.

In machine learning, these instructions enable computers to learn from data, making machine learning algorithms unique and powerful.

[smak-annihilation]

yeah sorry guys but the machine escaped containment and is no longer in my control or control of any human. yeah if it does anything mortifying it's on me guys, sorry

[theinsaneapp]

Princeton University Student Built An App (GPT Zero) To Help Teachers Find ChatGPT Cheats

An app developed by a Princeton University student helps determine if a text is written by a human or by the artificial intelligence tool ChatGPT.

Read Full Story: Princeton University Student Built An App (GPT Zero) To Help Teachers Find ChatGPT Cheats

[dulafer]

AI App for head/face swapping?

Can anyone recommend an App for head and face swapping? Been using FaceApp and Vidnoz with mixed results. Is there one that uses AI?

[jackoshadows]

[khalid-albeshri]

Reasons behind the fast economic growth of Saudi Arabia:

The rapid economic growth of Saudi Arabia in 2022, especially being the fastest-growing among G20 economies, can be attributed to several key factors:

- Increased Oil Production and Prices: Saudi Arabia, being one of the world's largest oil producers, benefited significantly from rising global oil prices and increased production levels. The rebound in global demand for oil post-pandemic, combined with geopolitical tensions that disrupted other oil supplies, contributed to higher revenues.

- Economic Reforms Under Vision 2030: The Saudi government’s Vision 2030 initiative aims to diversify the economy away from oil dependency. Reforms under this vision have encouraged growth in non-oil sectors such as tourism, entertainment, real estate, and finance, driving economic expansion.

- Investment in Infrastructure: Major infrastructure projects, including NEOM, the Red Sea Project, and the expansion of Riyadh, have attracted significant investments. These projects are not only boosting construction and related industries but are also creating jobs and stimulating the overall economy.

- Foreign Direct Investment (FDI): Saudi Arabia has seen an increase in FDI due to improved business regulations, economic reforms, and strategic partnerships with global companies. The Kingdom's efforts to create a more business-friendly environment have made it an attractive destination for foreign investors.

- Strong Private Sector Growth: Government initiatives to boost the private sector, including supporting small and medium enterprises (SMEs), have contributed to economic growth. Privatization of certain sectors and public-private partnerships have also played a role.

- Expansion of Non-Oil Sectors: Sectors such as tourism, entertainment, and technology have seen rapid growth, fueled by government support and increased consumer spending. Events like the Saudi Seasons, international sporting events, and cultural festivals have attracted visitors and investments.

- Labor Market Reforms: Reforms in the labor market, including Saudization efforts (Nitaqat program) and improved labor laws, have increased workforce participation and productivity, particularly among women and young Saudis.

- Fiscal Prudence and Debt Management: Saudi Arabia has implemented effective fiscal policies, including managing public debt and reducing the budget deficit, which has helped stabilize the economy and promote growth.

- Global Economic Recovery: The global economic recovery post-COVID-19 also played a role, as increased global trade and investment flows positively impacted Saudi Arabia's economy.

These factors combined to create a robust and diversified growth environment, contributing to Saudi Arabia's rapid economic expansion

#KhalidAlbeshri #خالدالبشري

[cbirt]

A team of researchers from the University of Chinese Academy of Sciences, China, and collaborators developed GeneCompass, one of the first foundation models of its kind that encompasses a vast expanse of knowledge across a diverse array of species, owing to the fact that it has been trained on over 120 million single-cell transcriptomes derived from the genomes of mice and humans. It is a self-supervised model. During the process of pre-training the model, it retrieves information from four types of biological datasets in the form of ‘prior knowledge’ and integrates it. It has excelled and outperformed several state-of-the-art models when studying a single species. It can also open new avenues for carrying out studies across different combinations of species other than humans and mice. This model can potentially contribute to discovering key regulators that determine cell fate and to identifying promising target candidates in the drug discovery and development field.

It is essential to decode universal regulatory mechanisms that dictate the expression of genes across a diverse set of organisms for accelerating clinical research and expanding our existing knowledge of basic and crucial life processes. Traditional research methodologies and existing deep-learning models have only considered using individual models of organisms separately. This has resulted in a dearth of integrated knowledge of features observed across different cell types over a variety of species. The development of this model was made possible by combining the outcomes of recent advancements in the fields of deep-learning (DL) methods and single-cell sequencing methods.

Continue Reading

[nunuslab24]

What are AI, AGI, and ASI? And the positive impact of AI

Understanding artificial intelligence (AI) involves more than just recognizing lines of code or scripts; it encompasses developing algorithms and models capable of learning from data and making predictions or decisions based on what they’ve learned. To truly grasp the distinctions between the different types of AI, we must look at their capabilities and potential impact on society.

To simplify, we can categorize these types of AI by assigning a power level from 1 to 3, with 1 being the least powerful and 3 being the most powerful. Let’s explore these categories:

1. Artificial Narrow Intelligence (ANI)

Also known as Narrow AI or Weak AI, ANI is the most common form of AI we encounter today. It is designed to perform a specific task or a narrow range of tasks. Examples include virtual assistants like Siri and Alexa, recommendation systems on Netflix, and image recognition software. ANI operates under a limited set of constraints and can’t perform tasks outside its specific domain. Despite its limitations, ANI has proven to be incredibly useful in automating repetitive tasks, providing insights through data analysis, and enhancing user experiences across various applications.

2. Artificial General Intelligence (AGI)

Referred to as Strong AI, AGI represents the next level of AI development. Unlike ANI, AGI can understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence. It can reason, plan, solve problems, think abstractly, and learn from experiences. While AGI remains a theoretical concept as of now, achieving it would mean creating machines capable of performing any intellectual task that a human can. This breakthrough could revolutionize numerous fields, including healthcare, education, and science, by providing more adaptive and comprehensive solutions.

3. Artificial Super Intelligence (ASI)

ASI surpasses human intelligence and capabilities in all aspects. It represents a level of intelligence far beyond our current understanding, where machines could outthink, outperform, and outmaneuver humans. ASI could lead to unprecedented advancements in technology and society. However, it also raises significant ethical and safety concerns. Ensuring ASI is developed and used responsibly is crucial to preventing unintended consequences that could arise from such a powerful form of intelligence.

The Positive Impact of AI

When regulated and guided by ethical principles, AI has the potential to benefit humanity significantly. Here are a few ways AI can help us become better:

• Healthcare: AI can assist in diagnosing diseases, personalizing treatment plans, and even predicting health issues before they become severe. This can lead to improved patient outcomes and more efficient healthcare systems.

• Education: Personalized learning experiences powered by AI can cater to individual student needs, helping them learn at their own pace and in ways that suit their unique styles.

• Environment: AI can play a crucial role in monitoring and managing environmental changes, optimizing energy use, and developing sustainable practices to combat climate change.

• Economy: AI can drive innovation, create new industries, and enhance productivity by automating mundane tasks and providing data-driven insights for better decision-making.

In conclusion, while AI, AGI, and ASI represent different levels of technological advancement, their potential to transform our world is immense. By understanding their distinctions and ensuring proper regulation, we can harness the power of AI to create a brighter future for all.

[x4learn]

*Inspiring Insight from Jeff Bezos**: The Power of Creativity and Boldness in Shaping the Future 🌟"

[rthidden]

The Frame Problem: AI's Unseen Nemesis

The frame problem is AI's Achilles' heel, lurking since the 1960s and still unresolved.

1. The Robot Dilemma

Daniel Dennett's thought experiment illustrates the issue: a robot must save its battery from a room with a bomb.

Initially, the robot pulls the battery on a cart but also drags the bomb out, unaware of this side effect.

Solution attempts include programming awareness of side effects, leading to analysis paralysis as the robot debates endless possibilities.

2. The Side Effect Spiral

When programmed to consider all side effects, the robot wastes time on irrelevant details—like pondering wall color changes.

This shows how difficult it is for AI to filter relevant from irrelevant information without getting bogged down.

3. Human Intuition vs. AI Logic

Humans effortlessly ignore irrelevant details, making quick decisions in complex contexts.

Programming AI to mimic this selective ignorance is resource-intensive and remains a significant challenge.

The frame problem underscores a subtle yet crucial aspect of human intelligence: our ability to instantly prioritize relevant information. As we advance in AI development, solving this problem will be key to creating truly intelligent systems.

Got thoughts on tackling the frame problem? Share your ideas!

[venezart]

APPLE’S REJECTION OF META AI TOOLS: A STANCE ON PRIVACY AND SECURITY