Elon Musk’s net worth just broke physics.
One man went from rockets to robots to brain chips and somehow bent reality itself. We’re 100% in the simulation — and Elon just punched a hole straight through the code.
Now he’s calling it: we’ve entered the Singularity, with 2026 as the tipping point. The glitch is real. The future is accelerating.
What a timeline. 🚀🕳️🤖
@runfusion Can you explain the best way to pair paperclip and runfusion together ? Immature request but would be happy to know how you guys workflow looks
@bindureddy We need hallucination reduction and a native memory system for the agents, not the human readable memory systems, something more fundamental and hallucinations needs physics based solutions inside the black box 📦
@runfusion@aronprins I have a question let’s say I have a team of 8 agents in paperclip, can I pull them into fusion and coordinate them from both places ?
Very true, it feels like intelligence needs some kind of a grounding to reality also the human readable memory layer we built around the llm is accelerating what you actually said … agents need their own memory that is not human readable. This helps 50% I guess rest of the 50% is still hallucination inside the llm black box itself ..
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.