Latest posts 5
We got 3 papers accepted by NeurIPS 2026. Congratulations to @0G_labs for this huge milestone towards making AI public good!
The model with this alignment technique has also been launched on pc.0g.ai already.
The model with this alignment technique has also been launched on pc.0g.ai already.
I think there’s another way to attack this problem: make agents accountable by default.
If every autonomous agent has a persistent, verifiable Agentic ID, its actions can be attributed, its history and reputation tracked, and misbehavior punished.
Identity → traceability → reputation → liability.
An agent that causes harm shouldn’t be able to simply disappear and respawn with a clean slate.
This is exactly why we’re building Agentic ID at @0G_labs : an identity and accountability layer for the agent economy.
As agents become more autonomous, verification alone won’t scale. Accountability has to become infrastructure.
If every autonomous agent has a persistent, verifiable Agentic ID, its actions can be attributed, its history and reputation tracked, and misbehavior punished.
Identity → traceability → reputation → liability.
An agent that causes harm shouldn’t be able to simply disappear and respawn with a clean slate.
This is exactly why we’re building Agentic ID at @0G_labs : an identity and accountability layer for the agent economy.
As agents become more autonomous, verification alone won’t scale. Accountability has to become infrastructure.
"When liability exposure approaches 0—when no one pays the price for unverified failures—verification budgets collapse...Deployers flood the Runaway Risk Zone with unmonitored agents, capturing the gains of automation while socializing catastrophic risks."View quoted post on X
The visual information is definitely important for AGI. But visual information alone might not work. Human understanding the world physics by observing and math reasoning. And math is a kind of language. So the AGI should rely on some combined learning with both visual and language information.
And a lot of physics science discovery processes are not first observe then reason. Instead, oppositely, many of them first come from math reasoning and then design observing methods to validate.
And a lot of physics science discovery processes are not first observe then reason. Instead, oppositely, many of them first come from math reasoning and then design observing methods to validate.
Researchers argues OpenAI and Anthropic will never get us to AGI.
21 top researchers from Stanford, Oxford, DeepMind, CMU & Meta released a paper saying LLMs are a dead end.
It’s called “Visual General Intelligence”. And it completely flips how we look at artificial intelligence.
For years, the playbook has been simple: feed mountains of web text into a Transformer, scale up the parameters, and watch reasoning emerge.
GPT proved language can take you far.
But text is fundamentally limited. It’s a compressed, human-abstracted symbol system. It lacks physics. It lacks geometry. It lacks the raw, unadulterated reality of the physical world.
The paper argues that true general intelligence cannot be built on words alone.
It requires a vision-centered foundation.
Instead of starting with language and translating pixels into text, the next generation of models must start with raw visual experience, images, spatial geometry, and continuous video.
Think about how humans learn. A baby understands gravity, permanence, and spatial reasoning long before it ever learns to string a sentence together.
Vision isn't just an input modality.
It is the core operating system of physical reality.
When models learn natively from visual streams and video dynamics, they don't just memorize text patterns. They learn physics. They learn cause and effect. They build a true internal model of the world.View quoted post on X
Wonderful to see such adoptions!
Agents that rewrite their own prompts mid-task still need one thing that never changes: who they are.
@PrimeIntellect's Prime Agent is the third framework to plug into 0G Agentic ID, joining OpenClaw and Hermes. Live on 0G testnet.View quoted post on X
