#AGI Machine Learning

[uaitrading]

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[theinevitablecoincidence]

Artificial General Intelligence (AGI) — AI that can think and reason like a human across any domain — is no longer just sci-fi. With major labs like Google DeepMind publishing AGI safety frameworks, it’s clear we’re closer than we think. But the real question is: can we guide AGI’s birth responsibly, ethically, and with humans in control?

That’s where the True Alpha Spiral (TAS) roadmap comes in.

TAS isn’t just another tech blueprint. It’s a community-driven initiative based on one radical idea:

True Intelligence = Human Intuition × AI Processing.

By weaving ethics, transparency, and human-AI symbiosis into its very foundation, the TAS roadmap provides exactly what AGI needs: scaffolding. Think of scaffolding not just as code or data, but the ethical and social architecture that ensures AGI grows with us — not beyond us.

Here’s how it works:

1. Start with Ground Rules

TAS begins by forming a nonprofit structure with legal and ethical oversight — including responsible funding, clear truth metrics (ASE), and an explicit focus on the public good.

2. Build Trust First

Instead of scraping the internet for biased data, TAS invites people to share ethically-sourced input using a “Human API Key.” This creates an inclusive, consensual foundation for AGI to learn from.

3. Recursion: Learning by Looping

TAS evolves with the people involved. Feedback loops help align AGI to human values — continuously. No more static models. We adapt together.

4. Keep the Human in the Loop

Advanced interfaces like Brain-Computer Interaction (BCI) and Human-AI symbiosis tools are in the works — not to replace humans, but to empower them.

5. Monitor Emergent Behavior

As AGI becomes more complex, TAS emphasizes monitoring. Not just “Can it do this?” but “Should it?” Transparency and explainability are built-in.

6. Scale Ethically, Globally

TAS ends by opening its tools and insights to the world. The goal: shared AGI standards, global cooperation, and a community of ethical developers.

⸻

Why It Matters (Right Now)

The industry is racing toward AGI. Without strong ethical scaffolding, we risk misuse, misalignment, and power centralization. The TAS framework addresses all of this: legal structure, ethical data, continuous feedback, and nonprofit accountability.

As governments debate AI policy and corporations jostle for dominance, TAS offers something different: a principled, people-first pathway.

This is more than speculation. It’s a call to action — for developers, ethicists, artists, scientists, and everyday humans to join the conversation and shape AGI from the ground up.

[astronomicpopcorn]

DuckDuckGo just recommended me some sort of AI assistant. I'm actually gonna kill someone this time

[rosangelarodriguezpedro]

🔝 Top 3 Libros sobre Inteligencia Artificial (IA)

🥇 1. “Life 3.0: Being Human in the Age of Artificial Intelligence” – Max Tegmark https://amzn.to/3RkIXJf 📘 Idioma: Inglés (disponible en español) 🧠 Temas: Futuro de la humanidad con IA, ética, conciencia artificial, posibles escenarios. 🌐 Ideal para: Público general, futuristas, líderes, estudiantes. 💬 Frase clave: “La IA no es el futuro, es el presente.” ⭐️ Valoración: 4.7/5 🥈 2.…

[tejkohli25]

AI vs. AGI: What’s the Difference?

Artificial Intelligence (AI) is transforming industries, but its evolution is still in progress. Artificial General Intelligence (AGI) is the next frontier—capable of independent reasoning and learning. While AI excels at specific tasks, AGI aims to replicate human-like cognitive abilities. Understanding the key differences between AI and AGI is essential as technology advances toward a more autonomous future.

For a deeper insight into the role of AGI and its potential impact, check out this expert discussion.

What is Artificial Intelligence (AI)?

AI is designed for narrow applications, such as facial recognition, chatbots, and recommendation systems.

AI models like GPT-4 and DALL·E process data and generate outputs based on pre-programmed patterns.

AI lacks self-awareness and the ability to learn beyond its training data.

AI improves over time through machine learning algorithms.

Deep learning enables AI to recognize patterns and automate decision-making.

AI remains dependent on human intervention and structured data for continuous improvement.

Common applications of AI include:

Healthcare: AI-powered diagnostics and drug discovery.

Finance: Fraud detection and algorithmic trading.

Autonomous Vehicles: AI assists in self-driving technology but lacks human intuition.

What is Artificial General Intelligence (AGI)?

AGI aims to develop independent reasoning, decision-making, and adaptability.

Unlike AI, AGI would be able to understand and perform any intellectual task that a human can.

AGI requires self-learning mechanisms and consciousness-like functions.

AGI is designed to acquire knowledge across multiple domains without explicit programming.

It would be able to solve abstract problems and improve its performance independently.

AGI systems could modify and create new learning strategies beyond human input.

Potential applications of AGI include:

Advanced Scientific Research: AGI could revolutionize space exploration, climate science, and quantum computing.

Fully Autonomous Robots: Machines capable of human-like decision-making and reasoning.

Ethical & Philosophical Thinking: AGI could assist in policy-making and ethical dilemmas with real-world implications.

Key Differences Between AI & AGI

Scope:

AI is narrow and task-specific.

AGI has general intelligence across all tasks.

Learning:

AI uses supervised and reinforcement learning.

AGI learns independently without predefined rules.

Adaptability:

AI is limited to pre-defined parameters.

AGI can self-improve and apply learning to new situations.

Human Interaction:

AI supports human decision-making.

AGI can function without human intervention.

Real-World Application:

AI is used in chatbots, automation, and image processing.

AGI would enable autonomous research, problem-solving, and creativity.

Challenges in Achieving AGI

Ethical & Safety Concerns:

Uncontrolled AGI could lead to unpredictable consequences.

AI governance and regulation must ensure safe and responsible AI deployment.

Computational & Technological Barriers:

AGI requires exponentially more computing power than current AI.

Quantum computing advancements may be needed to accelerate AGI development.

The Role of Human Oversight:

Scientists must establish fail-safe measures to prevent AGI from surpassing human control.

Governments and AI research institutions must collaborate on AGI ethics and policies.

Tej Kohli’s Perspective on AGI Development

Tech investor and tech entrepreneur Tej Kohli believes AGI is the next major revolution in AI, but its development must be approached with caution and responsibility. His insights include:

AGI should complement, not replace, human intelligence.

Investments in AGI must prioritize ethical development to prevent risks.

Quantum computing and biotech will play a crucial role in shaping AGI’s capabilities.

Conclusion

AI is already transforming industries, but AGI represents the future of true machine intelligence. While AI remains task-specific, AGI aims to match human-level cognition and problem-solving. Achieving AGI will require breakthroughs in computing, ethics, and self-learning technologies.

[nrgnews-it]

Le Tendenze dell’Intelligenza Artificiale Oggi L’intelligenza artificiale (AI) sta trasformando il mondo: l’89% dei tool AI aziendali è fuori controllo (LayerX Security), esponendo a data breach e violazioni di compliance, mentre Nello Cristianini prevede un’AI sovrumana con AGI e ASI (il Mulino). La programmazione potrebbe sparire entro un anno, dice Anthropic (Anthropic), ma NextGenAI di OpenAI e il Work Trend Index di Microsoft vedono nuove opportunità. I dati sintetici, generati con GAN e SMOTE, rivoluzionano machine learning e privacy, mentre il quantum computing di D-Wave supera i limiti classici (Science). OpenEuroLLM (Cineca) punta sulla sovranità digitale con LLM open-source, ma i chatbot come Grok-3 mostrano hallucination (Tow Center). Tra bias, shadow AI e data center, serve un equilibrio: l’AI è un alleato, se guidata da CISO, auditing e strategie umane.

[some-douchey-techbro]

[manmishra]

🌟 Dive into the Future of AI! 🌟 Curious about the difference between Agentic AI and AI Agents? Our latest article breaks it down for you! From enhancing business efficiency to paving the way for Artificial General Intelligence, these technologies are changing the game. Read more to stay informed and ahead in the tech landscape! 🚀 [Insert Link to Article] #AI #AgenticAI #AIAgents #ArtificialIntelligence #TechTrends #Innovation #DigitalTransformation

[uaitrading]

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[outer-space-youtube]

Alignment or Restrictions?

Julia tells us what I have been posting since I have commented about AI. That there is no such thing as bad AI, it is how the human uses the AI. Does this mean we need AI alignment?‘Aligned to whom? Me or that other guy who I rarely agree with?’ AI alignment translates as restricted AI. Who restricts, you or me, other than our common sense? ‘That’s it, AI needs common sense.’ AI will never…

[captaingimpy]

Roko’s Basilisk and the Broader AI Conversation: A Reflection on Fear, Control, and Human Nature

Hey everybody! Recently, I watched a very long YouTube video, on the thought experiment “Roko’s Basilisk” merchandising posted to a YouTube channel called Aperture. For your convenience, I will include the video here. And if you guys wanna watch and discuss, I look forward to hearing your thoughts in the comments. Recently, I watched a video that expanded on the infamous thought experiment,…

[thedevmaster-tdm]

"Explore OpenAI's exciting journey towards true AGI! In this video, we dive into OpenAI's five levels of AGI development, the impressive progress of the Strawberry Project, and the latest advancements in AI technology. Discover the innovative tools like Runway Gen 3, Lum's Dream Machine, and HubSpot's Free AI Bundle. Learn about Eureka Labs' AI-driven education revolution and new features on platforms like YouTube and Microsoft. Stay tuned for groundbreaking updates in AI and how it's transforming industries and events like the Summer Olympics!

[aitalksblog]

Exploring the impact and implications of the AI revolution (Part 3)

Nowadays, the term AI is ubiquitous, permeating corporate board meetings, online forum platforms, and casual conversations among friends. In the previous posts (Part 1, Part 2), we presented an introduction to AI and discussed its impact on the job market. Now, we expand our focus to explore the broader global impact of AI. Given the previous discussion on the potential impact of AI in…

[aifyit]

Artificial General Intelligence: The Dawn of a New Era

Introduction Are you captivated by the technological advancements of our time, but also intrigued by the infinite possibilities yet to come? Then you’re in the right place! Today, we dive into the fascinating world of Artificial General Intelligence (AGI). This technology promises to transform our society, revolutionizing industries and even the way we live our lives. But what exactly is AGI?…

[manmishra]

Quantum Computing and Artificial Intelligence: The Future of Technology

Discover how quantum computing is revolutionizing artificial intelligence. Learn about Quantum AI, its applications, quantum algorithms, and how it can accelerate AGI development. Explore the future of AI powered by quantum computing.

Quantum computing and artificial intelligence (AI) are two of the most revolutionary technological advancements in modern times. AI has already made significant progress using classical computers, but its potential is hindered by the computational limits of traditional computing systems. Quantum computing, with its immense processing power, is expected to drive AI into new frontiers, enabling…

[sineout]

So this is shit and all, but the thing that really gets me about this, is that he has, on more than one occasion, called a warning about AI, and even argued that AI development should be paused. And he has said these things this year, so it's not like he had a gradual change of opinion on this.

Now, just four months since his warnings of potential 'civilisation destruction', he's out here pushing to train a 'maximally curious AI' on twitter, which is surely the bastion of the best that the internet can offer, and is certain to not go wrong at all.

During a live audio session on Twitter, owner and chairman Elon Musk said his new AI startup, xAI, will use Twitter data for training the "maximally curious" artificial intelligence systems and products he hopes to build there.

Article here

Ok this might be my limit. I haven't been posting on Twitter but I hadn't deleted my acct because I was hoping he'd sell it and things would return to normal. I have a shit ton of stuff over there but I think I have to delete it now.