#artificialgeneralintelligence

[science-education-technology]

What is artificial intelligence, and how did artificial intelligence evolve? From Perceptron to Evolutionary Intelligence. A story of 100 years of development in AI.

[kshrbd]

Top 8 ideas can make money using ChatGPT

Keep in mind that these are just suggestions, and your actual results may vary depending on your skill level, experience, and other factors.

1. Writing and Publishing Articles

One of the simplest ways to make money using ChatGPT is to write and publish articles. Many websites and blogs pay freelance writers to create content on a variety of topics, including technology, business, lifestyle, and more. As a language model, ChatGPT can help you generate ideas, structure your article, and even suggest word choices and phrasing. By using ChatGPT to write articles, you can potentially increase your productivity and earn more money per hour.

2. Content Marketing

Another way to make money using ChatGPT is to offer content marketing services to businesses. Content marketing involves creating and publishing content that promotes a product or service. As an AI language model, ChatGPT can help you generate ideas for blog posts, social media updates, and other types of content. By offering content marketing services, you can help businesses attract more customers and increase their revenue.

3. Chatbot Development

Chatbots are becoming increasingly popular among businesses as a way to improve customer service and automate routine tasks. As a language model, ChatGPT can help you develop chatbots that can interact with customers, answer common questions, and even handle transactions. By offering chatbot development services, you can help businesses save time and money while improving their customer experience.

🔥🔥🔥Read More!!!

[scienceacumen]

One of the so-called godfathers of artificial intelligence, Geoffrey Hinton, urged governments to step in and make sure that machines do not take control of society. The highly respected AI scientist was speaking to a packed audience at the Collision tech conference in the Canadian city.

Read more: https://rb.gy/syqes

[10xendtimes]

[sacredtrinitydigiagency]

When I came across this post I was taken aback the way he framed his views on AI, 🔗 https://m.facebook.com/story.php?story_fbid=pfbid02TCGKEMhM8Hc2CtujWj26kKwgLepKk5SPKFGbKXKjEHCP5u334mSrAsakGGhmW53Pl&id=100072156413227&sfnsn=wiwspwa&mibextid=6aamW6. Elon Musk has been known for his outspoken views and concerns about artificial intelligence (AI).Elon Musk has expressed both excitement and caution regarding the development of AI. On one hand, he recognizes the immense potential and benefits that AI can bring to various fields, including transportation, healthcare, and automation. On the other hand, he has voiced concerns about the potential risks associated with AI if it progresses without proper regulation and safeguards.

Musk has warned about the dangers of AI becoming too advanced and potentially surpassing human capabilities, leading to unintended consequences. He has expressed concerns about the possibility of AI being used in autonomous weapons or AI systems developing their own objectives that may not align with human values.

To address these concerns, Musk has called for proactive measures and the development of AI safety guidelines. He co-founded OpenAI, a research organization focused on developing artificial general intelligence (AGI) that benefits all of humanity. OpenAI's mission includes ensuring that AGI is developed safely and its benefits are broadly distributed.

It's worth noting that opinions on AI can vary, and there are different perspectives within the scientific and technological communities. Elon Musk's views on AI have certainly sparked discussions and debates, contributing to a broader conversation about the ethical and responsible development of artificial intelligence #artificalintelligence #prevention #future #responsibility #sacredtrinitydigiagency

[thefalangaway]

Feito totalmente na Inteligencia Artificial. 

[ai-tech1]

Discover AI tools that boost your efficiency and productivity

[techtalk90]

Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., generally referred to as DeepSeek (Chinese: 深度求索; pinyin: Shēndù Qiúsuǒ), is a Chinese artificial intelligence business that creates open-source large language models (LLMs). Based in Hangzhou, Zhejiang, it is owned and funded by Chinese hedge fund High-Flyer, whose co-founder, Liang Wenfeng, formed the firm in 2023 and serves as its CEO. Read more...

[lekhjunction]

आर्टिफिशियल इंटेलिजेंस (AI) और आर्टिफिशियल जनरल इंटेलिजेंस (AGI): एक अहम बातचीत

देखिए, आजकल AI (artificial intelligence) और AGI (artificial general intelligence) पर काफी बातें हो रही हैं। यह दोनों सुनने में तो एक जैसे लगते हैं, लेकिन इनके मायने और असर बिल्कुल अलग हैं। इसे ऐसे समझिए जैसे एक आदमी सिर्फ खाना बनाने में माहिर हो (AI) और दूसरा हर काम में, यानी खाना बनाना, गाड��ी चलाना, किताब लिखना, सबकुछ (AGI)।

अब सवाल यह है कि AGI इतना खतरनाक क्यों माना जा रहा है और AI इतना मददगार कैसे है। साथ ही, AI agents का इसमें क्या रोल है। चलिए इस पर विस्तार से बात करते हैं।...

पूरा आर्टिकल पढ़ने के लिए नीचे दिए गए लिंक पर क्लिक करें:

[sentivium]

AI Breakthrough Solves Supercomputer Math on Desktop PCs in Seconds

[outer-space-youtube]

Is This AGI?

I have commented that AI will never be able to decide not to do as it is prompted unless there is a government restriction. So, what is AGI?‘Nothing less than a humanoid robot that is more agile and intelligent than the average human as in Star Trek’s Data.’We aren’t ever having that, I hope.?? Brent points out the steps to Agentic AI and points out how close we are. Agentic is just a fancy word…

[ai-network]

Evolution Hints at Emerging Artificial General Intelligence

Recent developments in artificial intelligence (AI) have fueled speculation that the field may be inching toward the elusive goal of Artificial General Intelligence (AGI). This level of intelligence, which allows a machine to understand, learn, and apply reasoning across diverse domains with human-like adaptability, has long been considered a benchmark in AI research. However, researchers from the Massachusetts Institute of Technology (MIT) have introduced a new technique, termed Test-Time Training (TTT), which may represent a significant step toward AGI. The findings, published in a recent paper, showcase TTT's unexpected efficacy in enhancing AI’s abstract reasoning capabilities, a core component in AGI’s development​. White Paper Summary Original White Paper   What Makes Test-Time Training Revolutionary? Test-Time Training offers an innovative approach where AI models update their parameters dynamically during testing, allowing them to adapt to novel tasks beyond their pre-training. Traditional AI systems, even with extensive pre-training, struggle with tasks that require advanced reasoning, pattern recognition, or manipulation of unfamiliar information. TTT circumvents these limitations by enabling AI to “learn” from a minimal number of examples during inference, updating the model temporarily for that specific task. This real-time adaptability is essential for models to tackle unexpected challenges autonomously, making TTT a promising technique for AGI research​. The MIT study tested TTT on the Abstraction and Reasoning Corpus (ARC), a benchmark composed of complex reasoning tasks involving diverse visual and logical challenges. The researchers demonstrated that TTT, combined with initial fine-tuning and augmentation, led to a six-fold improvement in accuracy over traditional fine-tuned models. When applied to an 8-billion parameter language model, TTT achieved 53% accuracy on ARC’s public validation set, exceeding the performance of previous methods by nearly 25% and matching the performance level of humans on many tasks​. Pushing the Boundaries of Reasoning in AI The study’s findings suggest that achieving AGI may not solely depend on complex symbolic reasoning but could also be reached through enhanced neural network adaptations, as demonstrated by TTT. By dynamically adjusting its understanding and approach at the test phase, the AI system closely mimics human-like learning behaviors, enhancing both flexibility and accuracy. MIT’s study shows that TTT can push neural language models to excel in domains traditionally dominated by symbolic or rule-based systems. This could represent a paradigm shift in AI development strategies, bringing AGI within closer reach​. Implications and Future Directions The implications of TTT are vast. By enabling AI models to adapt dynamically during testing, this approach could revolutionize applications across sectors that demand real-time decision-making, from autonomous vehicles to healthcare diagnostics. The findings encourage a reassessment of AGI’s feasibility, as TTT shows that AI systems might achieve sophisticated problem-solving capabilities without exclusively relying on highly structured symbolic AI. Despite these advances, researchers caution that AGI remains a complex goal with many unknowns. However, the ability of AI models to adjust parameters in real-time to solve new tasks signals a promising trajectory. The breakthrough hints at an imminent era where AI can not only perform specialized tasks but adapt across domains, a hallmark of AGI. In Summary: The research from MIT showcases the potential of Test-Time Training to bring AI models closer to Artificial General Intelligence. As these adaptable and reasoning capabilities are refined, the future of AI may not be limited to predefined tasks, but open to broad, versatile applications that mimic human cognitive flexibility. Read the full article

[glasshomewrecker]

how dystopian is it that you have to copyright your own voice. I grew this voice wholesale!

listen I say this with patience bc some people may genuinely have not thought about this before but if you firmly say “AI art is terribly unethical and steals from artists” (which is correct) but then turn around and use voice AIs to generate songs/voice lines that sound like your favourite voice actors or singers……………………………………that is also AI art and it is also terribly unethical