Master Hybrid Cloud Chaos Now. Own the Future with @Commvault Cloud: https://
commvault.com/hybrid-cloud-s
olutions
…
SYSTEMS
-
Master Hybrid Cloud Chaos with Commvault Solutions
By
–
-
Running 10k vCPUs in Parallel: Enterprise vs Consumer Hardware
By
–
We are running up to 10k vCPUs in parallel, gl with a mac studio
-
UK Government Names New CDIO to Lead Microsoft Migration
By
–
http://
UK.gov's DCMS to new CDIO: Migrate from Google to Microsoft, overhaul ERP, build a team https://
go.theregister.com/feed/www.there
gister.com/2026/04/28/ukgov_seeks_cdio_to_lead/?utm_source=dlvr.it&utm_medium=twitter
… -
Private 5G and Sovereign AI Integration for Manufacturers
By
–
This is where private 5G and sovereign AI reinforce each other. Both layers operate within the manufacturer's perimeter.
-
Two-Way AI Conversations Transform Customer Engagement Strategy
By
–
The real shift is this: We are moving from one-way messaging
to two-way, outcome-driven conversations. That means a customer should be able to: → ask a question
→ get a real answer
→ change an appointment
→ buy a product
→ solve the issue All inside the same thread. Not -
Successor Representations as World Models in AI Systems
By
–
E.g., successor representations are world models but not transition models.
-
AI Tools Evolving into Integrated Work Operating Systems
By
–
AI tools are no longer just tools. They’re starting to look like operating systems for work. What’s interesting isn’t one feature or one model. It’s the shift in how everything connects:
Chat
Files
Code
Workflows
Team context All in one place. That changes the game. Because -
Kwai Summary Attention: Learnable Tokens for Long Context
By
–
"Kwai Summary Attention Technical Report" This paper uses learnable summary tokens for long-context attention. It splits text into chunks, compresses each chunk into a summary token, keeps recent text dense within a sliding local window, and reads distant context through
-
AI Model Unpredictability Impact on Production Workflows
By
–
The behavior and knowledge changes being unpredictable is the core issue. Model improvements are fine. Unpredictability in a tool you've built workflows around is not.
-
Simulation Within Simulation Must Reach Maximum Complexity
By
–
The simulation within the simulation must be cranked to 11