Turn ideas into AI apps in minutes No code. No complexity. Just results. Join us LIVE on April 23 to see Abacus.AI Agent & Claw easily turn prompts into production apps. 🎟 Spots are limited, reserve your place today: eventbrite.com/e/19865596172…
AUTOMATION
-
AI agent autonomously probes its own multi-GPU setup and stats
By
–
running Qwen3.5 397B MoE (17B active/token)
— Ahmad (@TheAhmadOsman) 9 avril 2026
on 4x DGX Sparks in FP8 (~400GB)
> OpenCode driving
> agent exploring its own config
> probing all 4 Sparks (via ssh) + reporting thermals
> inspecting how vLLM is serving it
> collecting + analyzing its own stats
local AI is awesome https://t.co/KU9u30GgXk pic.twitter.com/yPWSbSKto8running Qwen3.5 397B MoE (17B active/token) on 4x DGX Sparks in FP8 (~400GB) > OpenCode driving
> agent exploring its own config
> probing all 4 Sparks (via ssh) + reporting thermals
> inspecting how vLLM is serving it
> collecting + analyzing its own stats local AI is awesome -
Deep Agents deployment with open standards configuration
By
–
Deep Agents deploy is simple – just specify configuration like you would for a coding agent: – AGENTs.md (open standard)
– /skills (open standard)
– mcp.json (convention) and then choose your model and sandbox provider -
LangSmith Agent Deployment with Memory and Protocol Exposure
By
–
From there – we spin up a deployment on LangSmith deployments with production ready short term and long term memory We expose your agent via MCP, A2A, and agent protocol
-
AI Chief Scientist Warns of Automation’s Societal Challenges Ahead
By
–
Jakub Pachocki, OpenAI's Chief Scientist: As AI advances, automating intellectual work poses huge societal challenges. Job displacement, wealth concentration, and governance of AI-controlled entities are critical issues. Coming faster than expected. pic.twitter.com/4i5JB3ZCS0
— Chubby♨️ (@kimmonismus) 9 avril 2026Jakub Pachocki, OpenAI's Chief Scientist: As AI advances, automating intellectual work poses huge societal challenges. Job displacement, wealth concentration, and governance of AI-controlled entities are critical issues. Coming faster than expected.
→ View original post on X — @kimmonismus, 2026-04-09 15:42 UTC
-
AI-Powered News Discovery: Automated Content Curation from X
By
–
Follow my AI Newsmaker list: https://
x.com/scobleizer/lis
ts
… 1,900 hand picked from 50,000. But my AI reads everyone on X and finds the best three times a day: -
Access World’s Best AI Models Always Available
By
–
We'll make sure you always have access to the world's best models. Let us know if there's a workflow you're missing.
-
AI-Powered Condition-Based Maintenance Reduces Unplanned Downtime
By
–
By processing data from multiple sensor types, AI moves operations to condition-based maintenance, reducing unplanned downtime and extending asset life.
-
Self-Learning Industrial AI Algorithms Adapt to Specific Conditions
By
–
Standard systems rely on rigid, predefined rules. True industrial AI uses self-learning algorithms that adapt to your specific conditions.
-
Creative AI’s Success Will Be Judged by Practical Workflow Value
By
–
This is why I think the next wave of creative AI will be judged differently. Not by: → how fast it generates → how flashy the demo looks But by: → how well it fits advertising workflows → how much time it saves content teams → how usable it is for product design → how often it gets creators close to final quality on the first pass That shift matters more than most people realize.
→ View original post on X — @ronald_vanloon, 2026-04-09 14:59 UTC