AutoML is democratizing model development across business teams, shifting responsibility toward data quality and governance. Pressure grows on organizations to align tools, skills, and decisions so outputs remain reliable in daily operations. Microblog by @antgrasso #AI
AI
-
Using AI to Optimize Sunday Professional Planning
By
–
Sunday isn't just rest day. It's strategy day. While everyone else stresses about Monday, smart professionals are using AI to: → Draft the week's content in 20 minutes → Auto-organize their task list → Prep email responses before the inbox explodes You don't grind
-
StarVLA: Modular Vision-Language Robot Codebase
By
–
What if building a robot that sees, understands, and acts was as easy as snapping Lego together? Enter StarVLA: a modular codebase that lets you swap vision-language or world-model backbones and action heads independently. It matches or surpasses prior methods on benchmarks
-
Energy, not compute, may be AI bottleneck; Stratos data center uses 9 GW
By
–
Energy, not compute, may become the real bottleneck for AI. The proposed Stratos data center in Utah could consume up to 9 GW of power at full buildout, making it one of the largest data center projects in the world. That is roughly comparable to New York City’s average
-
Causal vs Observational Agency in Agents
By
–
Causal vs observational agency. Agent actions (a) should be treated as interventions, not as evidence for hypotheses (p). Actions by other agents or tool outputs are evidence (o).
-
Checklist: How to Build AI Agents
By
–
How to build AI Agents • Define scope
• Structure I/O
• Add tools
• Enable reasoning
• Orchestrate agents
• Add memory Smart ≠ enough
Structure + context = performance Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #BuildInPublic -
Distinguishing Between Agentic Coding and Vibe Coding
By
–
Agentic coding isn't vibe coding with a better name.
People use these two terms interchangeably, but they are not the same thing. Vibe coding is when you let Claude or Cursor write code for you and you ship it without reading a line. Fast, fun, often 80% there. And almost never -
Prompt to transform photo into plasticine claymation via GPT-Image
By
–
Chose a photo: Use GPT-Image 2 or NBP Prompt: Transform this photo into meticulously hand-crafted plasticine puppets, combining exaggerated, caricatured features with a highly physical, weight-based, style absurdist claymation. Keep the EXACT composition. Grotesque
-
AI replacing elite financial analysts, says investment CEO
By
–
El CEO de uno de los fondos de inversión más poderosos del mundo acaba de admitir algo brutal:
— Nico (@nicos_ai) 17 mai 2026
La IA ya está reemplazando trabajos financieros de élite.
No hablamos de tareas básicas ni administrativas.
Hablamos de analistas con másters y doctorados haciendo trabajo altamente… https://t.co/NmT4lph0yN pic.twitter.com/6zHBEgQjnjThe CEO of one of the world's most powerful investment funds just admitted something brutal: AI is already replacing elite financial jobs. We're not talking about basic or administrative tasks. We're talking about analysts with master's and PhDs doing highly specialized work.
-
One-line fix to prevent LLM agent delusions
By
–
One line of code is all it takes to prevent LLM agent delusions, instead of post-training patches like RL. https://
love4all.ai/blog/why-it-is
-important-to-understand-causality-and-agency/
… 4 ∀ https://
github.com/nandodef/love4
all-ai/tree/main/docs/files
…