Fwd: Civilization and AI
Civilization is safe from AI so focus on functions.... OR:
As we incorporate AI into our lives, the debate about impact is important.
This is what we're talking about on our show.
Virtual assistants to self-driving cars are awesome! But critics fear AI could lead to widespread job losses, privacy breaches, and even existential threats. Proponents, however, believe AI can revolutionize healthcare, education, and almost all business flows of data and value.
AI pioneer at Meta Yann LeCun said to next-gen AI builders: 'Don't focus on LLMs'
LLMs have a limited grasp on logic and will not reach human-level intelligence.
They "do not understand the physical world, do not have persistent memory, cannot reason in any reasonable definition of the term and cannot plan . . . hierarchically,"
He told developers not to focus on The Large Language Models that the large companies are managing.
However...
1) He has a nice nerd reputation
2) Never trust Zuck
There's still much to be done with prompting, jailbreaking and accessibility
If you're an AI developer, start with the basics:
- Statistics and probability.
- Data wrangling, cleaning and transformation.
- Classical pattern recognition such as naive Bayes, decision trees, random forest and bagging.
- Artificial neural networks.
- Convolutional neural networks.
- Recurrent neural networks
Next-gen AI systems will be:
- Multimodal AI.
- Reasoning and general intelligence.
- Embodied AI and robotics.
- Unsupervised and self-supervised learning.
- Artificial general intelligence (AGI).
And...
Boundary-driven or discriminative AI, multi-tasking and multi-modality, categorical deep learning, energy-based models, more purposive small language models, niche use cases, custom fine-tuning and training, state-space models and hardware for embodied AI. Some also suggested exploring Kolmogorov-Arnold Networks (KANs), a new breakthrough in neural networking.
There isn't one single entity trusted with monitoring AI development. Instead, a multi-pronged approach is emerging:
- Independent bodies: Research groups and NGOs provide unbiased assessments of AI risks and best practices.
- Governments: Regulations and standards are being developed to ensure ethical and secure AI development.
- Tech companies: They have a responsibility for building safeguards into their AI systems.
- Public involvement: Open discussions about AI's societal impact are crucial for building
