“The world of the future will be an even more demanding struggle against the limitations of our intelligence, not a comfortable hammock in which we can lie down to be waited upon by our robot slaves.”

✒ #NorbertWiener, philosopher who founded #Cybernetics, #DOTD 18 March 1964.

🗓️ On Wednesday 18 February at 5.00 pm, I will present my latest book, “Cibernetica e filosofia politica”, at the University of Bologna.

See you there!

@unibo.it

#cybernetics
#politicalphilosophy
#norbertwiener
#gilbertsimondon

Wiener understood early that technology and humanity are inseparable and that how we use our tools defines who we become.

Follow the page for more daily philosophy!

#NorbertWiener #Philosopher #Philosophy

“The world of the future will be an even more demanding struggle against the limitations of our intelligence, not a comfortable hammock in which we can lie down to be waited upon by our robot slaves.”

🤖 Founder of #Cybernetics, #NorbertWiener was #BOTD 26 November 1894.

God and Golem, Inc.: A Comment on Certain Points where Cybernetics Impinges on Religion by Norbert Wiener (PDF)
Author: Norbert Wiener
File Type: PDF
Download at sci-books.com/god-and-gole...
#Religious, #NorbertWiener

Either the engineers must become poets or the poets must become engineers.

- #NorbertWiener

Original post on mastodon.social

one of the greatest achievements in 20th century math was Norbert Wiener's proof that an integral white noise can be rigorously defined and yields the Brownian dynamical results that Einstein, Langevin and other physicists had assumed without proof. he famously put this theory to practical use […]

Me adentro en el #Cibercomunismo, pero los pocos libros (2 de #Cockshott) se centran en planificación. Eso parece más “comunismo planificado”. Para mí, el cibercomunismo es otra cosa: la retroalimentación autotélica como motor, siguiendo a #NorbertWiener.

LinkedIn This link will take you to a page that’s not on LinkedIn

My book 'Mastering Modern Time Series Forecasting : A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python' is on Early Access ->
lnkd.in/ey_sg2fg

#DataScience #SignalProcessing #TimeSeries #NorbertWiener #WWII #Forecasting #MathHistory #AI

Alabado sea #NorbertWiener.

En el #Comunismo de Lujo Totalmente Automatizado ( #FALC) hay 3 disrupciones: la agricultura, la industria y la información.

Estoy totalmente de acuerdo con las dos primeras, pero la tercera es la #cibernetica de #NorbertWiener.

Muse™ - Data Ethics What is the specificity of digital ethics, and how do these considerations differ from those of ethics in general? These concerns are more a question of degree than of this kind, for each new generation of information technology introduces increasingly salient challenges for both business and huma

Link to the article:
www.listentoyourmuse.com/data...

#AIethics #artificialintelligence #machinebias #NorbertWiener #JamesMoor #ethicalAI #AIdecisionmaking #technologyandethics #trustinAI #AIbias #computerethics #globalAIimpact
#newsletter #muse #listentoyourmuse #technology #technologynews

a classic arrived today #norbertwiener

Mastering Modern Time Series Forecasting : A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python 📘 Mastering Modern Time Series Forecasting (early access - release in 2025)The Definitive Guide to Statistical, Machine Learning & Deep Learning Models in PythonLet’s be honest — most forecasting books are either outdated, too shallow, or written by folks who’ve never actually built a real forecasting system.If you’ve ever felt frustrated by books that skip the basics, toss in code without explaining it, or barely touch on what forecasting really involves — you’re not alone.This is different.Mastering Modern Time Series Forecasting is your all-in-one, no-shortcuts guide to building reliable, high-impact forecasting systems. Whether you're just getting started or looking to deepen your expertise, this book takes you from rock-solid foundations to the latest advances in forecasting — including deep learning, transformers, and FTSM (Foundational Time Series Models).Written by a practitioner with over a decade of experience, who’s built production-grade forecasting systems for multibillion-dollar companies, this book is grounded in reality — not hype. The systems I’ve helped build have delivered multimillion-dollar business value, but I’ve also seen the other side: data science teams chasing shiny tools, only to ship systems that crash in production, fail silently, or burn through budgets without results.This book is a response to that — combining practical Python examples, real-world case studies, and a clear path to building forecasting solutions that actually work, scale, and deliver value.🔍 What You'll Learn📘 Core Forecasting FoundationsGrasp what forecast accuracy really means, master model validation strategies, and sidestep common pitfalls that trip up even experienced practitioners.📈 Classical Models, Done RightIn-depth, modern takes on ARIMA, Exponential Smoothing, and other classical statistical and econometrics models — with clarity, not complexity.🤖 Machine Learning for Time SeriesBuild feature-rich forecasts using state-of-the-art ML techniques that go far beyond black-box models.🧠 Deep Learning & TransformersExplore powerful deep learning architectures, including Transformer-based models — all with clear, readable PyTorch code.📊 FTSMs – Foundational Time Series ModelsExplore the rise of Foundational Time Series Models (FTSMs) — large, pre-trained models designed to generalize across domains, tasks, and time horizons. Think GPT for time series.🎯 Probabilistic & Interpretable ForecastingMove beyond point forecasts with uncertainty quantification, conformal prediction, SHAP, attention mechanisms, and explainability tools.📊 Real-World Case StudiesApply what you’ve learned on practical datasets across domains like retail, energy, and finance.🚀 MLOps & DeploymentLearn how to deploy, monitor, and scale your forecasting pipelines in the real world — without the headaches.👥 Who It’s For Data Scientists & ML EngineersSolving real-world forecasting challenges and building production-ready systems. Analysts & DevelopersLooking for a practical, hands-on reference that covers both fundamentals and advanced techniques. Students, Educators & ResearchersIn need of a modern, curriculum-friendly resource grounded in both theory and application. Demand Planners & Business StrategistsFocused on delivering real value through accurate, actionable forecasts. 🧠 Why This Book Stands Out 🔍 Starts with what matters — metrics and validationBefore jumping into models, you’ll learn how to evaluate them properly so you’re building on a solid foundation. 🧠 Focuses on understanding, not just codingLearn how methods work, why they work, and when to use them — not just how to run the code. 💻 Fully documented, transparent codeNo black boxes. Every example is clearly explained so you can learn and adapt, not guess. 🔄 Updated continuously with reader feedbackBuy once, benefit forever — you’ll get lifetime updates as the field evolves. 📚 Everything in one placeFrom classical models to deep learning and FTSMs — no need to juggle multiple resources ever again. 📦 What You Get Instant download of the full book All code examples, datasets, and notebooks Free lifetime updates (including new chapters, errata fixes, and bonus content) Exclusive early access to upcoming bonus chapters & Q&A sessions 💸 Pricing 🎉 Introductory Launch Price Suggested: $29 | Minimum: $25 This is the initial price — it will increase as more chapters, tools, and content are released. If you find value or want to support the project, feel free to pay what it’s worth to you ❤️ Ready to take your forecasting skills from stats to neural nets, and from theory to real-world deployment?👉 Hit “Buy Now” and start mastering forecasting like never before.

My book 'Mastering Modern Time Series Forecasting : A Comprehensive Guide to Statistical, Machine Learning, and Deep Learning Models in Python' is available for preorder ->
valeman.gumroad.com/...

#DataScience #SignalProcessing #TimeSeries #NorbertWiener #WWII #Forecasting #MathHistory #AI

𝑶𝒏 𝒕𝒉𝒊𝒔 𝑫𝒂𝒚, 𝟲𝟭 𝒚𝒆𝒂𝒓𝒔 𝒂𝒈𝒐....🫡

𝙸𝚗 𝚖𝚎𝚖𝚘𝚛𝚒𝚊𝚖 Norbert #Wiener [°Nov. 26, 1894 – Mar. 18, 1964]🌹😔

#childprodigy #Cybernetics #AI #StochasticProcess #MIT #MassachusettsInstituteofTechnology #NationalMedalofScience #Maimonides #AkivaEiger #MargaretEngemann #BerthaKahn #NorbertWiener

“The world of the future will be an even more demanding struggle against the limitations of our intelligence, not a comfortable hammock in which we can lie down to be waited upon by our robot slaves.”

✒ #NorbertWiener, philosopher who founded #Cybernetics, #DOTD 18 March 1964.

“Swami, these #computers will ruin the brains of all people. A few people will program them and the whole public will just mechanically follow.” - #NorbertWiener, as quoted by Swami Sarvagatananda.
#technology #algorithms

“We are but whirlpools in a river of ever-flowing water. We are not stuff that abides, but #patterns that perpetuate themselves.” - #NorbertWiener
#information #cybernetics #identity

2 “We must turn the great leaders of #business, of #industry, of #politics, into a state of mind in which they will consider … people as their business and not something to be pushed off as none of their business.” - #NorbertWiener, 1954
#technology

1 “If we want to live with the #machine … we must not worship the machine. We must make a great many changes in the way we live with other people.” 🧵
#technology #cybernetics #NorbertWiener

“In the long run, even the most brilliant and unprincipled #huckster must expect ruin …” - #NorbertWiener

3 … Dark Hero of the #Informatin Age: In Search of #NorbertWiener, The Father of #Cybernetics
#information #communications #MassSociety

2 … “too large for the direct contact of its members.” He finished with a flourish and a warning to his readers: “Of all the anti-homeostatic factors in society, the control of the means of #communication is the most effective and important.” - Flo Conway & Jim Siegman in … 🧵
#NorbertWiener

The future of work in the age of automation.

The Future of Work in the Age of Automation: Proceedings of a Workshop on Norbert Wiener’s 21st Century Legacy
dx.doi.org/10.1109/TTS....
@greg-adamson.bsky.social @ketraschmitt.bsky.social @secondordersocialresearch.com @researchgate.bsky.social
#ieee #norbertwiener #futureofwork #ai #automation

#NorbertWiener “lived in fear that #ideas would lose interest in him and wander off to present themselves to somebody else.” - Barbara Wiener, as quoted by Flo Conway and Jim Siegelman in Dark Hero of the Information Age: In Search of Norbert Wiener, The Father of #Cybernetics

“Almost every #philosophy seems to begin as a revolt of common sense to some other theory, and end … by itself becoming equally preposterous to everyone but its author.” - #TSEliot in correspondence with #NorbertWiener

Norbert Wiener on the alignment problem

Norbert Wiener developed the cybernetics (AI) alignment problem 65 years ago.

#ai #cybernetics #NorbertWiener #alignment

Well done Pedro!

The Future of Work in the Age of Automation: Proceedings of a Workshop on Norbert Wiener’s 21st Century Legacy
dx.doi.org/10.1109/TTS....

@greg-adamson.bsky.social @ketraschmitt.bsky.social @secondordersocialresearch.com
#ieee #norbertwiener #cybernetics #futureofwork #ai #automation

#communication #society #norbertwiener #wisdom

...communications in society... are the cement which binds its fabric together.
Norbert Wiener