Use 𝕏 Chat for messaging and voice/video calls. Comes with this great benefit of actual privacy.
TECHNOLOGY
-
Engramme’s Memory API Launched in Beta
By
–
Engramme's memory API is now live in public beta and built on an entirely new AI architecture, not Transformers, purpose-built to give apps persistent human memory without any search or prompting from the user.
— 🚨 AI News | TestingCatalog (@testingcatalog) 9 avril 2026
Engramme uses Large Memory Models, promising near-zero… https://t.co/M0Wpgav6uS pic.twitter.com/Dsw2u9MnF8Engramme's memory API is now live in public beta and built on an entirely new AI architecture, not Transformers, purpose-built to give apps persistent human memory without any search or prompting from the user. Engramme uses Large Memory Models, promising near-zero
-
Enable Cloud Agents Feature for Pull Requests in Cursor Dashboard
By
–
Enable this feature in the Cursor dashboard: http://
cursor.com/dashboard/clou
d-agents#my-pull-requests
… -
Cursor Adds Demos and Screenshots to GitHub PRs for Cloud Agent Work
By
–
Cursor can now attach demos and screenshots of its work to PRs it opens.
— Cursor (@cursor_ai) 9 avril 2026
Your team can review artifacts created by cloud agents directly in GitHub. pic.twitter.com/qVXyfxPhWYCursor can now attach demos and screenshots of its work to PRs it opens. Your team can review artifacts created by cloud agents directly in GitHub.
-
Form Factor Lock-in Concerns in AI Hardware Design
By
–
its a directionally correct form factor but way too much lock in
-
On-Device AI Inference for Offline Embedded Applications
By
–
On-Device runs directly on the hardware itself and is built for offline inference on constrained compute. This is best suited to use cases that require offline inference, such as automotive manufacturers embedding voice into vehicles or wearables.
-
SF and Texas AI Ecosystems: Scale Intelligence and Future Industries
By
–
They are in synchronicity, as the SF ecosystem still powers the AI labs and the venture. ‘American Shenzhen’ IE, Texas, provides the foundation to scale Intelligence, and to build for the Industries of the future (space, fabs etc.) Although, if CA proceeds with wealth tax etc,
-

MIT Researchers Cut AI Model Training Costs With CompreSSM
By
–
Training a large AI model is expensive, but MIT CSAIL researchers have helped develop a new approach that cuts compute costs. Using control theory, "CompreSSM" compresses models during training, shedding complexity. It makes models leaner & faster: https://
bit.ly/4sU2Sjc -
NEXFORM’s Hybrid Humanoid Robot for Movement and Lifting
By
–
Meet NEXFORM’s Hybrid Humanoid Built to Move and Lift
— Ronald van Loon (@Ronald_vanLoon) 9 avril 2026
by @CyberRobooo#Robotics #AI #EmergingTech #Innovation #Technology pic.twitter.com/YObNluLVuvMeet NEXFORM’s Hybrid Humanoid Built to Move and Lift by @CyberRobooo #Robotics #AI #EmergingTech #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-09 15:58 UTC