SYSTEMS - AI Dynamics

American Tech Stack: Key to Winning the AI Race

By

–

02 February 2026 17h18

« Le fait que la stack technologique américaine soit le standard mondial⁰est essentiel pour gagner la course à l’IA. »

Des labos d’IA chinois utilisant des puces NVIDIA ? → L’Amérique gagne.⁰Des développeurs du monde entier sur notre infrastructure ? → On garde le contrôle.… pic.twitter.com/LI3WfTcsLZ
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 2 février 2026

« The fact that the American tech stack is the global standard is essential to winning the AI race. » Chinese AI labs using NVIDIA chips? → America wins.
Developers worldwide on our infrastructure? → We keep control.

→ View original post on X — @jouhatsu_ai

2 February 2026

The AI supercomputer gold rush in Arizona and Texas

By

@jouhatsu_ai

–

02 February 2026 17h17

Partie 3 :

La ruée vers l’or de l’infrastructure

« En Arizona et au Texas, nous allons produire environ⁰un demi-billion de dollars de supercalculateurs IA⁰au cours des 4 prochaines années. »

Cette infrastructure générera plusieurs milliers de milliards de valeur pour… pic.twitter.com/yabxbAVfj7
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 2 février 2026

Part 3: The Infrastructure Gold Rush "In Arizona and Texas, we will produce about half a trillion dollars' worth of AI supercomputers over the next 4 years." This infrastructure will generate several trillions of dollars in value for

→ View original post on X — @jouhatsu_ai

2 February 2026

NVIDIA Cosmos and Omniverse AI Integration

By

@bilawalsidhu

–

02 February 2026 14h24

Totally. NVIDIA cosmos is attempting this to pair it with Omniverse as the engine – quality isn’t there yet but they’re pushing.

→ View original post on X — @bilawalsidhu

2 February 2026

Open-Source Textbook on Machine Learning Systems Engineering

By

@kirkdborne

–

02 February 2026 6h48

#MachineLearning Systems — The Principles & Practices of Engineering Artificially Intelligent Systems: http://
mlsysbook.ai by @profvjreddi [Updated 2020-page PDF] “Open-source textbook on how to design and implement #AI systems effectively”
————
#ML #MLOps #DataScience

→ View original post on X — @kirkdborne

2 February 2026

Grok connected to lists could bring similar advantages

By

@scobleizer

–

01 February 2026 20h55

Of course, if Grok got hooked up to lists we would get most of the same advantages.

→ View original post on X — @scobleizer

1 February 2026

Data Fabric Enables Coherent Governance Across Distributed Cloud Infrastructure

By

@antgrasso

–

01 February 2026 15h01

As data spreads across clouds, apps, and teams, organizations look for coherence without rigidity. Data Fabric addresses this need with an architectural approach that links sources and supports governance. Microblog @antgrasso #DataStrategy

→ View original post on X — @antgrasso

1 February 2026

Agentic Memory: Temporal Awareness Prevents Repeated AI Mistakes

By

@avikumart_

–

01 February 2026 1h40

Temporal awareness is another game-changer. Agentic memory doesn't just look for "keywords"; it understands time. It prioritizes recent, relevant strategies over stale, failed ones. It stops repeating the same mistakes because it "remembers" the outcome of the last attempt.

→ View original post on X — @avikumart_

1 February 2026

Agents Learn from Experience to Improve Memory and Performance

By

@avikumart_

–

01 February 2026 1h40

Imagine Agents learn from their experiences to improve memory, retention, and task performance, just like the human brain. It distinguishes between "World Facts" and "Experiences". It's the difference between reading a map and actually driving the route.

→ View original post on X — @avikumart_

1 February 2026

Moltbook enables users to opt in compute credits sharing

By

@bilawalsidhu

–

31 January 2026 20h42

yeah i mean moltbook is already ppl opting in their compute/credits — albeit at a much smaller scale

→ View original post on X — @bilawalsidhu

31 January 2026

Recursive Self-Improvement: Path to Technological Singularity

By

@ceobillionaire

–

31 January 2026 15h20

From Seed AI to Technological Singularity via Recursively Self-Improving Software Roman V. Yampolskiy: https://
arxiv.org/abs/1502.06512 #ArtificialIntelligence #RSI #Singularity

→ View original post on X — @ceobillionaire

31 January 2026