Symbiotic Intelligence
•
2
emin temiz PRO
etemiz
AI & ML interests
None yet
Recent Activity
posted
an
update
2 days ago
Should I create an organization tackling the AI--human alignment problem. Finding the humans that care about other humans most and basically pretraining with their stuff.. I already did some experiments and it seems to work well.
Want to know about my experiments?
Who would be interested to join?
replied to
singhsidhukuldeep's
post
2 days ago
Exciting breakthrough in AI: @Meta's new Byte Latent Transformer (BLT) revolutionizes language models by eliminating tokenization!
The BLT architecture introduces a groundbreaking approach that processes raw bytes instead of tokens, achieving state-of-the-art performance while being more efficient and robust. Here's what makes it special:
>> Key Innovations
Dynamic Patching: BLT groups bytes into variable-sized patches based on entropy, allocating more compute power where the data is more complex. This results in up to 50% fewer FLOPs during inference compared to traditional token-based models.
Three-Component Architecture:
• Lightweight Local Encoder that converts bytes to patch representations
• Powerful Global Latent Transformer that processes patches
• Local Decoder that converts patches back to bytes
>> Technical Advantages
• Matches performance of Llama 3 at 8B parameters while being more efficient
• Superior handling of non-English languages and rare character sequences
• Remarkable 99.9% accuracy on spelling tasks
• Better scaling properties than token-based models
>> Under the Hood
The system uses an entropy model to determine patch boundaries, cross-attention mechanisms for information flow, and hash n-gram embeddings for improved representation. The architecture allows simultaneous scaling of both patch and model size while maintaining fixed inference costs.
This is a game-changer for multilingual AI and could reshape how we build future language models. Excited to see how this technology evolves!
Articles
Organizations
None yet
Posts
9
Post
10
A model that does well in math, reasoning, science and other benchmarks may not do well in wisdom domain.
There are not many models that are focusing on wisdom it seems. It is going to be a problem. Smartness does not equal human alignment.
There are not many models that are focusing on wisdom it seems. It is going to be a problem. Smartness does not equal human alignment.
Post
356
Should I create an organization tackling the AI--human alignment problem. Finding the humans that care about other humans most and basically pretraining with their stuff.. I already did some experiments and it seems to work well.
Want to know about my experiments?
Who would be interested to join?
Want to know about my experiments?
Who would be interested to join?
models
4
datasets
None public yet