In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...

How to use rghosh8/SFT_baseline_deepseek-llm-7b-chat_opencoder_42 with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe ...

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...

Sarvam AI is hiring for 46 roles in Bengaluru, focusing on LLM, infrastructure, and voice systems. Discover the essential ...

Writing from scratch: given MinAtar game rules and code, Astra wrote a Breakout network's weights in a single reply. With zero training or tools, it scored 20× higher than PPO trained for 500M steps!

Unifying multimodal understanding and generation poses significant inherent challenges rooted in the heterogeneous nature of cross-modal data, misaligned semantic distribution spaces, inconsistent ...

Model size decides how much a model can hold onto, and research puts that at roughly 2 bits of knowledge per parameter even ...

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

Google, OpenAI, Microsoft, and Anthropic now honor one robots.txt token that blocks AI training across all four platforms.

We wrote 150,000 CVE exploits and trained an LLM on them. Hinoki Offensive One scores 88.4% on CyberGym, 2.8 points above Daybreak, with zero refusals. Pentesting and exploit development with no ...

The core challenges of semantic erosion and the intent compression paradox that LLMs face, and how developers address these ...