CoopHive

New handle 👉👉👉 @arkhai_io.

Coordination layer for the decentralized future.

[Arkhai @arkhai_io]

https://t.co/qpUTXKUhib

[Arkhai @arkhai_io]

https://t.co/v1MpTnNoEe

[Arkhai @arkhai_io]

https://t.co/ZubFCLFD61

[Arkhai @arkhai_io]

https://t.co/bNho8AppXT

[Arkhai @arkhai_io]

See you today at 4pm for our Simple Compute Market Workshop at @protocollabs Network Hub during @ethconf

https://t.co/d97vEJBBmU

[Protocol Labs @protocollabs]

8/ @arkhai_io Simple Compute Market Workshop (June 9)

A technical walkthrough and live demo of agent-driven compute markets and machine-speed transactions.
https://t.co/C3G6rJkfAm

[Protocol Labs @protocollabs]

3/ @arkhai_io Simple Compute Market Launch Happy Hour (June 7)

Celebrate the launch of open-source, agent-driven infrastructure for discovering, negotiating, and accessing compute.
https://t.co/eBEpyLjUKH

[Arkhai @arkhai_io]

See you tonight at our Happy Hour at @protocollabs Network Hub during @Techweek_ and @ethconf
https://t.co/LVoMHgYDLQ

[Arkhai @arkhai_io]

Join our Simple Compute Market events:
Happy Hour June 7th - https://t.co/LVoMHgYDLQ
Workshop June 9th - https://t.co/d97vEJBBmU

[Arkhai @arkhai_io]

https://t.co/QMv6Vo1Wz8

[Arkhai @arkhai_io]

Thanks for mentioning us in Robot Wave @deseventral (full article below)

[Arkhai @arkhai_io]

Arkhai is in NYC, June 1–10.

Find us at @Techweek_ + @ethconf, and join the two events we're hosting on our Simple Compute Market:

→ Happy Hour · Sun Jun 7
→ Workshop · Tue Jun 9

RSVP below 👇

[Arkhai @arkhai_io]

Today we're launching Simple Compute Market (SCM).

The market is simple: agents find compute, negotiate, settle, and get access without a human driving every step.

Open-source. Agent-driven. Public good. No token. No fees.

[Arkhai @arkhai_io]

The dashboard era was fun.

[Arkhai @arkhai_io]

Arkhai is now part of the Agentic AI Foundation and the Linux Foundation! Together we are driving open-source agent standards forward. Learn more here.

[Arkhai @arkhai_io]

The shape of AI isn't one giant language model translating every problem into text. It's purpose-trained RL models per problem.

As compute cost keeps falling, training a fresh model for one specific problem gets cheap. Something like AlphaZero, in a day is now possible.

[Arkhai @arkhai_io]

LLMs model language. Their upper bound is how well humans have performed in language. They don't RL-optimize the objective function of the problem itself.

That's enough for tasks where imitating humans is the goal. Most real problems need more.

[Arkhai @arkhai_io]

Increasingly everything is a hosted web service. Agents will need to buy them peer-to-peer at machine speed. Latency is location-bound, so the endgame is service from the building next door.

This is why sell-side infrastructure for web services is fundamental.

[Arkhai @arkhai_io]

Agentic commerce is being priced as a payments story. The sell-side is underpriced.

Payments infrastructure exists because everyone pays. Payments infrastructure for selling hosted web services doesn't, because until now there weren't enough sellers to need it. That's changing.