₦airaland Forum

AGI Research Directions


1.Deep learning: Continue advancing deep learning techniques, such as neural networks and reinforcement learning.

2. Cognitive architectures : Develop cognitive architectures that integrate multiple AI systems and enable more human-like reasoning. Merging manys LLM might be a faster options .

3. Multitask learning: Create AI systems that can learn and adapt across various tasks and domains.


4. Memory & context: Systems that remember, reason over time, and integrate long-term knowledge with ability to learn


ASI Research Directions
1. Neural networks: Continue researching neural networks and their applications.

2.Cognitive science: Study human cognition and intelligence to inform AI development.

3. Hybrid approaches: Explore combining symbolic and connection is AI approaches.

4.Neuromorphic computing: Developing hardware that mimics the brain's structure, potentially enabling more efficient and powerful AI.

AGI or ASI will have the properties to update ,evolve automatically or learn tasks faster than GPT 4 the architecture would be bigger than just LLM .

Improving production capacity can indeed contribute to Nigeria's growth by:

1. Boosting economic output
2. Creating jobs
3. Increasing competitiveness
4. Enhancing innovation
5. Reducing reliance on imports
6. Creating Startup or SMEs programme/accelerator
7. Funding both national or international

Key sectors to focus on include
1. Agriculture
2. Manufacturing
3. Technology
4. Energy
5. Finance
6. Constructions
7. Oil sector
8. Mining and quarrying
9. Real estates
7. Professional services
8. Trade
9. Transportation
10. Healthcare and AI


Investing in infrastructure, skills development, and favorable policies can also support growth. Each states should have a targets on production and industrialization . Nigeria can focus on investing in modern infrastructure, providing training and support to local industries, adopting new technologies, and creating favorable policies that encourage innovation and entrepreneurship. Adopting New Technologies and creating favourable environment or policies for business to strive to its peak. Nigerian graduates should prioritize acquiring skills over job hunting to foster independence. By doing so, they can enhance employability, create opportunities, and contribute to economic growth, ultimately becoming self-reliant and adaptable in a rapidly changing job market. Secondary school graduates should learn new skill to improve their mindset about entrepreneurship .

dahflemzy:
Thanks boss

My pleasure

dahflemzy:
God bless you…this summary is a headway and I wouldn’t want to derail the purpose of this thread. Thanks boss. I’ll make my researchs and give you feedback hopefully soon.

Concerning tech, I’m thinking about moving away from databases to either AI/ML or solidity blockchain development. Do you have any resources or roadmap I can use?

Google chrome you must put Github at the end of the search . Create a github account and fork the roadmap of anything you want to learn
https://github.com/markredito/selfstudy-roadmap-ml-ai?tab=readme-ov-file

The goal of quantum computing is to integrate quantum lasers with quantum photonics chips to make it faster using Nvidia's CUDA-Q platform to accelerate processing speeds. This fusion of technologies could enable faster, more efficient quantum computing, driving innovation in fields like AI, optimization, and simulation. Faster computing, new possibilities emerge.

Quantum AI is cognition 2.0 ask microsoft ceo

Alphabyte3:
Template large language models (LLMs) are advanced artificial intelligence models that have been trained on a vast amount of textual data to generate human-like responses. These models are capable of understanding the context of a given prompt and producing coherent and relevant text based on that context.

LLMs have been used in a wide range of applications, including natural language processing tasks such as text generation, summarization, and translation. These models can also be fine-tuned for specific domains or tasks to improve their performance. This type of LLM is multimodal .

With the development of template LLMs, businesses and individuals can benefit from more efficient and accurate text generation, making it easier to create content for a variety of purposes. Whether it's crafting marketing materials, generating customer service responses, or automating routine tasks, template LLMs can help streamline the process and improve overall productivity.

You can create 3d cartoon or anime or films use different templates all you need is the image or 3d character and the text or audio and the AI will sync the templated scene and voice movement . The software is coming soon . It is will be like the video editor of animation and film making using AI.

Teach AI how to scan and generate 1D, 2D, 3D and 4D realistic construction in software,construction , game development ,3d printing ,medicine or robotics

dahflemzy:
Tech isn’t easy o. I just discovered that one of my guys got employed by coinbase as a senior dev and I was wowed. Him don Dey learn this thing tey tey before we even graduate. E move me die and e just carry motivation full my body cos my guy don vamos. But then boss how do I contact you. I’ve been following this thread for a while and I even have all your resources and links in my notes. E just hard small now as data and things don cost.

man has to survive now. If person no get extra source, e go hard person. Data wey don cost makes the learning progress slowly . I won Dey do surveys too. Abeg can you pls show me the way sir.

Corporate professionals, especially in tech, often face demanding work hours, including 17-hour days, leading to exhaustion. To succeed, one must remain composed under pressure.


Building a strong online presence on platforms like X and LinkedIn can help. Sharing tech-related content can increase visibility and growth. Networking with the right people and continually improving skills are also crucial for advancement.

By focusing on these strategies, individuals can overcome the challenges of the tech industry and achieve success. This approach can be a key to unlocking new opportunities and staying ahead in the competitive tech world.

A magnetic quantum computer uses magnetic fields to control qubits, leveraging quantum mechanics and magnetism for calculations. This approach could revolutionize fields like cryptography and optimization. Researchers explore architectures and materials for development, potentially offering advantages in scalability, stability, and error correction for complex problem-solving and simulations. Imagine how many spin per seconds . A billion spin or quadrillion to centillion spin .
It will solve impossible tasks faster which will take classical computing a million years . Usefulness in space exploration and nuclear fusion, quantum shields,magnetic energy,quantum gravity ,material science and medicine.

The reason why we don't need ASI is because they will develop ability or skills like stimuli
responses , awareness, thoughts, feelings and sensations etc. AI of such power can make humans lose jobs raising ethical,privacy and security concern .

Perception level in AI is still low . I don't really know how many levels of perception an AI can perform simultaneously and the phase synthesizing data methodology . MCP can enhance multi-cognitive agents in the future analyzing massive amounts of information and querying and processing them . This is a PHD Level research project.

World first opensource quantum cloud ,quantum software,server and engine


https://github.com/oqtopus-team/

Quantum GUI or interface should be connect to classical and proof encryption for secure hybrid systems .

preciouswoman66:
Na big men dey japa na. I still dey

Ok bro

How to analyze futures trading in crypto 5% gains

Sell = (1.05 x Leverage Multiplier) x Asset Price


Buy =( 0.95 x Leverage Multiplier) x Asset Price

Stop-Loss Price = ((High + Low) / 2) x Leverage Multiplier


Note that the market is inherently risky you have to invest what you are willing to lose.


The formula generates trading signals for futures based on the current coin price helping traders make quantitative decision .

MindHacker9009:
C# = C++++ meaning 4 times the power of C++.
C# is used for both web, windows and console apps and can also use C++ libraries.

If you are working with microcontroller then you need C++.

Btc was built with Qt C++ . I think C++ is still cool

preciouswoman66:

U still dey naija

Tools or setup

Visual studio or rider
Sql server and sql management studio
Maui community toolkit
.NET 9 SDK

You can use the following blazor and connect it to maui C# through blazor webview or blazor hybrid


1. Antdesign blazor (free)


2. radzen Blazor (free)


3. SyncFusion Blazor UI Components (paid)


4. MudBlazor (free)

5 Telerik UI for Blazorise · (paid)


6. DevExpress Blazor (paid)

7 .Boostrap Blazor(free)

8. Pure Blazor( paid)

9. Bit Blazor UI (free)

Syntaxbyte:
Okay thanks, and there won't be possibility of data linking.

Can't the desktop app(exe) be extracted with even 7zip and all data exposed?

Yes , but you wont get the full code just the data . If you need the codes you can reverse engineer the software.

Nice content

Syntaxbyte:
What about Database Storage

Mysql ,Sql server , Sqlite or Oracle 19C u will make provision of the score to be sent remotely

preciouswoman66:
Nice one.

I thought he meant running the LLM without Internet connection in his phone locally

He don't have enough space (CPU or GPU)

Na the reason why transaction dey stuck

airsaylongcome:
Local lan is different from localhost. You don't need to acquire new hardware to get started.

Who says the same CBT cannot be used for other purposes? Several VLEs have built in CBTs that can server that purpose. Moodle for example has excellent CBT as well as LMS functionality. Can be self hosted on a Local lan at almost no cost.

Finally, who said data was scattered across multiple computers. One server with a bank of questions. Tests available on local LAN or (with relevant port opening) Internet

Destop, Web and mobile apps can be built on a local Lan server with unique IP address just like microsoft ,oracle or eTranzact software everything must be in a private client or server on in house database .

preciouswoman66:
Your phone spec??

I was able to run termux and android ide to build java and Kotlin mobile app on my phone . Did it for fun in 2022

Kaczynski:
nigerians don't play with tech , most nigerians are in tech for money



how many nigerians use Linux apart from mobile phones?



one of my guys shock when I was running Mistral on my phone using termux and linode

Don't joke with Nigerians the Doctor could have glued or 3d print bone stem cells
https://www.google.com/amp/s/www.vanguardngr.com/2025/03/francis-omigbodun-pioneering-advances-in-artificial-intelligence-and-bone-implant-technologies/amp/

There are two types online and offline simulation coupled with reinforcement learning . The more task is done the more skills are updated

Simulating 1 centillion (10^303) tasks is far beyond the capabilities of our current AI technology and server infrastructure.Complexity of robotics systems ,Sensorimotor integration and real-world variability

Why is it impossible?
1. Computational power: Even the world's fastest supercomputers, like Summit or Sierra, can only perform around 10^17 calculations per second. To simulate 1 centillion tasks, you'd need an enormous increase in computational power.
2. Memory and storage: Storing and processing 1 centillion tasks would require an astronomical amount of memory and storage. Current storage technologies, like hard drives or solid-state drives, are nowhere near capable of handling such vast amounts of data.
3. Energy consumption: Running simulations at such a massive scale would require an enormous amount of energy, possibly even exceeding the total global energy production.
4. Algorithmic limitations: Current AI algorithms, including machine learning and deep learning models, are not designed to handle such enormous task volumes.

Future prospects:
While we're far from being able to simulate 1 centillion tasks, researchers are exploring new technologies and architectures that could potentially lead to significant advancements:

1. Quantum computing: Quantum computers could potentially provide exponential increases in computational power, but they're still in the early stages of development.
2. Neuromorphic computing: Inspired by the human brain, neuromorphic chips could offer more efficient and scalable computing solutions.
3. Swarm intelligence: Distributed computing approaches, like swarm intelligence, might allow for more efficient processing of large task volumes.

4. Cloud robotics: Cloud-based robotics simulation platforms can provide scalable computing resources.


However, even with these advancements, simulating 1 centillion tasks will likely remain an impossible feat for the foreseeable future.