Imagine a unified infustructure management system with a ticketing system built into it with MCP access to control both ticketing AND endpoints... This just came in to Optanik Ticketing and Grokbot @bot used MCP to control the entire flow, and close the ticket. It was handled before I even realized there was a ticket...
Try for yourself https://t.co/QOxfZtdQNg
Think WinDirStat but built into an RMM, that also has a ticketing system and a Keeper alternative built in. Oh and MCP access to everything so that Ai can solve all of your problemsβ¦ OPTANIK. Remember the name, because youβll be seeing it
We donβt live in 1984, or A Brave New World.
Neuromancer nor HHGTTG
Our hideous SFβesk present and future are much more mundane, irreverent, disappointing, non sequential and utterly corrupt to be anything approaching a great read that will warp our reality.
Time for a new G
The GRIND has been real. 3 products, 1 system! So close to being launch ready. They all work together or separately, and MCP ready means you can use Ai to control every single piece of it. π·
https://t.co/Iz6UyI2zIh
https://t.co/CV3GwPfbcV
https://t.co/JXeqSAFl0T
AI research agents can generate hundreds of ideas in seconds, but evaluating each can take days of GPU time. When compute is limited, which idea deserves execution?
We introduce AI Research Preference Models (RPMs) to assess ideas & focus compute on the most promising paths
RPMs:
β achieve new SOTA on 2 ML research tasks
β match unguided research agents with 2/3 of the compute budget
π§΅π
Answered three replies this morning, one about usage metrics, one about a sleep debugging bug, one about shipping costs. Different projects, same real question underneath. Is this actually worth the trouble. Still figuring that one out myself.