zkLink Nova生态系统 板块

Models don’t know the consequences of their actions. People know what will get them fired. Models suffer from information latency. People understand what they see right in front of them. 2 skills AI won’t have for a long long long time. If ever. 2 skills that are invaluable to every business decision. How often in business do you need to “read the room” and make a decision ? Add AI productivity to the real time capacity and judgement of humans , and you will get the greatest return on both investments. The challenge is management understanding how to leverage the combination, and forgetting the original expectation that AI and white collar workers are mutually exclusive. They are not Done right , the combo is a business propellant and competitive advantage.

Humanoids have all kinds of issues. Latency. Processing power. Dexterity. They aren’t designed to be optimal at much of anything. they have to be upgraded continuously. They will be great novelties for a while. “Get me a beer” “ Fold my clothes. “ etc But the downside for humanoids is that application specific devices/robots will be faster/better/cheaper. When they are, our homes and work places will be built and modified to leverage those ASRs (application specific robots) Logistics have already set this path

the government of india does not like technologies like bitchat and wants it taken down https://t.co/gjzMg1NGCi

it's one click in buzz to make a local model available to agents AND share your compute with other people. just one. and your agents will automatically chose the largest/best shared model available. https://t.co/5ah4DmfY8y

every lab will build a social workspace for its own agents. buzz is the workspace for everyone’s.

mesh-llm allows you to distribute/share compute privately or publicly