tural.ai

Talententwicklung für Künstliche Intelligenz

Artificial Intelligence ist mehr als Generative AI Systeme wie , , Google , Baidu, xAI Grok, u.v.a.

Freitag, 25. Oktober 2024

€125,00

Talententwicklung für Künstliche Intelligenz Artificial Intelligence ist mehr als Generative AI Systeme wie ChatGPT, GPT 4o, Google Gemini, Baidu, xAI Grok, Claude u.v.a.

Prompten kannst Du selbst!

Lass Dir keine Trainings andrehen.

Nur Mut!
https://chatgpt.com/auth/login

https://gemini.google.com/

https://claude.ai/login

https://ide.x.ai/

Claude Talk with Claude, an AI assistant from Anthropic

Artificial Intelligence Anwendungen in Cyber-Physical Systems

Den ursprünglichen Text auf unserer Website über Cyber-Physical Systems habe ich durch den Output von -4o auf meinen Prompt erweitert.

📢 Fazit von GPT-4o(mni):

Die Integration von KI in Cyber-Physical Systems revolutioniert die Art und Weise, wie industrielle Prozesse ablaufen und wie Unternehmen operieren. Sie führt zu erheblichen Effizienzsteigerungen, Kosteneinsparungen und einer höheren Flexibilität, während sie gleichzeitig die Qualität und Sicherheit verbessert.

Obwohl es Herausforderungen gibt, insbesondere in Bezug auf Datensicherheit und den , überwiegen die Vorteile und bieten enorme Potenziale für Innovation und Fortschritt in verschiedenen Branchen.

🤔 Ist diese Botschaft im Fazit von GPT-4o offen versteckt?

Über die Auswirkungen der auf die Gesellschaft, ihre funktionalen Systeme und die strukturellen Koppelungen macht Ihr in Deutschland noch keine sinnstiftenden Gedanken.

⛹♂️ Beeilt Euch!

🚀 Lasst die KI-Revolution ihre eigenen Kinder nicht fressen!

̈nstlicheintelligenz

https://lorenzotural.com/artificial-intelligence/ai-in-cyber-physical-systems

"Erkläre Talent Development Program for Artificial Intelligence"

So haben wir Microsoft , , geprompted.

Ihre Outputs findest Du auf unserer Website:

Talent Development for Artificial Intelligence - lorenzo tural. Talent Development Program for Artificial Intelligence

our vision

shaping the next future of artificial intelligence*

* Artificial General Intelligence

tural. artificial general intelligence

Superintelligence is within reach.

Building safe superintelligence (SSI) is the most important technical problem of our​​ time.

We have started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence.

It’s called Safe Superintelligence Inc.

SSI is our mission, our name, and our entire product roadmap, because it is our sole focus. Our team, investors, and business model are all aligned to achieve SSI.

We approach safety and capabilities in tandem, as technical problems to be solved through revolutionary engineering and scientific breakthroughs. We plan to advance capabilities as fast as possible while making sure our safety always remains ahead.

This way, we can scale in peace.

Our singular focus means no distraction by management overhead or product cycles, and our business model means safety, security, and progress are all insulated from short-term commercial pressures.

We are an American company with offices in Palo Alto and Tel Aviv, where we have deep roots and the ability to recruit top technical talent.

We are assembling a lean, cracked team of the world’s best engineers and researchers dedicated to focusing on SSI and nothing else.

If that’s you, we offer an opportunity to do your life’s work and help solve the most important technical challenge of our age.

Now is the time. Join us.

Ilya Sutskever, Daniel Gross, Daniel Levy

June 19, 2024
https://ssi.inc/

̈nstlicheintelligenz

Safe Superintelligence Inc. The world's first straight-shot SSI lab, with one goal and one product: a safe superintelligence.

Before we address the question

„Where can replace Human Intelligence?

we should deal with the following question in more detail:

Are Generative AI Systems self-referential?

a.o.

Consciousness of AI - tural. Impacts of Generative AI - Thoughts about Consciousness of AI: Are Generative AI Systems ChatGPT, Google Gemini, xAI Grok self-referential?

is on the road!

Unser Service-Portfolio

https://www.lorenzotural.com/sitemap

2014 -2024

Mein Blog wurde heuer 10 Jahre alt.
Es ist Zeit für eine Retrospektive, um die Ereignisse und die Fortschritte zu reflektieren und aus den Erfahrungen zu lernen.

Zu diesem Zweck habe ich drei Beiträge und ein Livestream aus dem Jahr 2014 ausgewählt.

Wer Interesse hat, kann sich eine Retrospektive gönnen.

Bspw.
Hangout On Air in 2014
Multi Channel Kommunikation

whatsapp, instagram, Facebook, youtube, Telefon (Handy) nutzte ich zur gleichzeitigen Kommunikation während der Hangouts On Air in 2014 live!

Von 2014 zu 2024: Wie praktizierst Du die Kommunikation heute?

Lorenzo´s Blog – Lorenzo Tural Osorio Lorenzo´s Blog Mein Blog wurde heuer 10 Jahre alt. Es ist Zeit für eine Retrospektive, um die Ereignisse und die Fortschritte zu reflektieren und aus den Erfahrungen zu lernen. Zu diesem Zweck habe ich drei Beiträge und ein Livestream aus dem Jahr 2014 ausgewählt. Digital Leben in zehn Antwort...

10 Pings for delicious Ping Pong Thinking!

1. AI beats humans on some tasks, but not on all. AI has surpassed human performance on several benchmarks, including some in image classification, visual reasoning, and English understanding. Yet it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning and planning.

2. Industry continues to dominate frontier research. In 2023, industry produced 51 notable models, while academia contributed only 15.
There were also 21 notable models resulting from industry-academia collaborations in 2023, a new high.

3. Frontier models get way more expensive. According to AI Index estimates, the training costs of state-of-the-art AI models have reached unprecedented levels. For example, ’s GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute.

4. The United States leads China, the EU, and the U.K. as the leading source of top AI models. In 2023, 61 notable AI models originated from U.S.-based institutions, far outpacing the European
Union’s 21 and China’s 15.

5. Robust and standardized evaluations for responsibility are seriously lacking.
New research from the AI Index reveals a significant lack of standardization in responsible AI reporting.
Leading developers, including OpenAI, Google, and Anthropic, primarily test their models against different
responsible AI benchmarks. This practice complicates efforts to systematically compare the risks and limitations of top AI models.

6. Generative AI investment skyrockets. Despite a decline in overall AI private investment last year, funding for generative AI surged, nearly octupling from 2022 to reach $25.2 billion. Major players in
the generative AI space, including OpenAI, Anthropic, Hugging Face, and Inflection, reported substantial fundraising rounds.

7. The data is in: AI makes workers more productive and leads to higher quality work.
In 2023, several studies assessed AI’s impact on labor, suggesting that AI enables workers to complete tasks more
quickly and to improve the quality of their output. These studies also demonstrated AI’s potential to bridge
the skill gap between low- and high-skilled workers. Still, other studies caution that using AI without proper
oversight can lead to diminished performance.

8. Scientific progress accelerates even further, thanks to AI. In 2022, AI began to advance scientific discovery. 2023, however, saw the launch of even more significant science-related AI applications—
from AlphaDev, which makes algorithmic sorting more efficient, to GNoME, which facilitates the process of materials discovery.

9. The number of AI regulations in the United States sharply increases. The number of AIrelated regulations in the U.S. has risen significantly in the past year and over the last five years. In 2023, there were 25 AI-related regulations, up from just one in 2016. Last year alone, the total number of AI-related regulations
grew by 56.3%.

10. People across the globe are more cognizant of AI’s potential impact—and more nervous.
A survey from Ipsos shows that, over the last year, the proportion of those who think AI will dramatically affect their
lives in the next three to five years has increased from 60% to 66%. Moreover, 52% express nervousness toward AI
products and services, marking a 13 percentage point rise from 2022. In America, Pew data suggests that 52% of
Americans report feeling more concerned than excited about AI, rising from 37% in 2022.
Source:https://aiindex.stanford.edu/wp-content/uploads/2024/04/HAI_AI-Index-Report-2024.pdf

Die Zahl der KI-Patente in EU & UK inkl. Deutschland stieg innerhalb von 5 Jahren (von 2017 bis 2022) um 815%.

̈nstlicheintelligenz

- Business Intelligence

- Market Intelligence

- Sales Intelligence

- Production Intelligence

- Cognitive Robotics

- Programmable Logic Controller

- Intelligent Agent

and many more ...

https://www.lorenzotural.com/artificial-intelligence

"What´s the difference between uncertainty and incerto?"

- Uncertainty is like walking into a foggy room.

You know there are things there, but you can't see them clearly.

- Incerto is like walking into a dense forest.

You know there are paths and dangers, but you have to navigate them by adapting to the ever-changing environment.

about the difference:

Both "uncertainty" and "incerto" convey a lack of certainty, but there are some key differences between them, especially in the context used by Lorenzo Tural:

👉 Uncertainty:

- General term: This is a broad term encompassing any situation where the outcome is unknown or unpredictable.

- Focus: It simply describes the lack of knowledge about the future.

- Emotional connotation: Can be neutral or negative, depending on the context.

👉 Incerto (as used by Lorenzo Tural):

- Specific to VUCA world: Refers to the inherent volatility, uncertainty, complexity, and ambiguity of complex systems.

- Focus: Goes beyond just not knowing, it highlights the unpredictable and ever-changing nature of the environment.

- Emotional connotation: Often carries a sense of challenge and opportunity, encouraging an "antifragile" approach that thrives on unpredictability.

- International and elegant: Easier to understand across languages and has a more sophisticated feel.

👉 In essence, Lorenzo Tural uses "incerto" to create a more specific and action-oriented perspective on uncertainty.

It's not just about the lack of knowledge, but about embracing the challenge and finding ways to benefit from the unpredictable nature of the world.

From Agile Management to Incerto Leadership -

How to transform Incerto into Competitive Advantage?

14. Juni 2024

Agile Leadership für Gestaltung und Führung von wettbewerbsfähigen Organisationen in Zeiten von Incerto

- Rasante Verbreitung von (Künstlicher Intelligenz)
- Globale Migrationsbewegungen
- Geopolitische Spannungen, Kriege
- Auseinanderbrechen von globalen Lieferketten,
- Entstehung einer neuen (multipolaren) Weltwirtschaftsordnung
- Preissteigerungen, Inflation, Shrinkflation, Skimpflation

Sie gehören zur Zielgruppe unseres einzigartigen Events, wenn Sie sich fragen,

ob die bis dato bekannten Methoden für Agiles Management in Ihrer unternehmerischen Praxis NOCH ohne weiteres brauchbar sind und
wie Sie Incerto -u.a. Unsicherheit- in Gebrauch nehmen können, um eine marktführende Organisation aufzubauen.

From Agile Management to Incerto Leadership How to transform Incerto into Competitive Advantage?

Copilot von Microsoft über Incerto Leadership :

"Incerto-Leadership" bezieht sich auf einen Führungsstil, der darauf abzielt, Unsicherheit und andere Aspekte von "Incerto" in Wettbewerbsvorteile umzuwandeln 12.

Dieser Ansatz wurde von Lorenzo Tural Osorio entwickelt und betont die Notwendigkeit, robuste Systeme zu schaffen, die nicht nur überleben, sondern unter den Bedingungen der Unsicherheit und des Wandels gedeihen 12.

Ein Incerto-Leader ist jemand, der die Fähigkeit hat, in einer Welt voller Unsicherheit, Zufall, menschlichem Versagen, Risiko und Entscheidungsfindung zu führen 12.

Sie sind in der Lage, diese Aspekte zu nutzen und sogar zu begrüßen, um robuste Systeme zu schaffen, die sich unter Stress und Volatilität verbessern 12.

Einige der Schlüsselkompetenzen, die für Incerto-Leadership erforderlich sind, umfassen unter anderem 12:
● Computational Thinking
● Novel And Adaptive Thinking
● Sense-Making
● Coherent Thinking and Learning
● Cross-Cultural Competency
● Transdisciplinarity
● Virtual Collaboration
● Beyond Resilience
● Social Intelligence
● Cognitive Load Management

Diese Kompetenzen ermöglichen es Incerto-Leadern, effektiv in globalen Geschäftsökosystemen zu arbeiten und dabei die rasanten Entwicklungen im Unternehmensumfeld in die Unternehmensorganisation zu transferieren 12.

Quelle(n)
1. Agile Management - Lorenzo Tural.
2. Rethink Leadership to Lead Organizations in Incerto Times
3. agile leadership Tickets, Fr, 15.11.2024 um 13:00 Uhr - Eventbrite

Artificial Intelligence in Business is more than Generative AI Systems

ChatGPT, Google Gemini, Microsoft Copilot, xAI Grok

Di. 7. Mai 2024 13:00 - 18:00 MESZ

125,00 €

̈nstlicheintelligenz

Artificial Intelligence in Business Artificial Intelligence in Business is more than Generative AI Systems ChatGPT, Google Bard, Gemini, Baidu Ernie, AppleGPT, xAI Grok

is a Taylor approximation of the universe, with physics as the few first- and second-order terms. By the time you get to , there are so many it’s impossible to keep track.
by Pedro Domingos

x.com

Dartmouth College summer workshop. The conference was convened by the mathematician John McCarthy, who announced that it would “proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it.”

Ever since, AI enthusiasts have chronically overpromised and underdelivered. In 1965, Herbert A. Simon, a Nobel laureate in economics and a winner of the Turing Award (“the Nobel Prize of computing”), predicted that “machines will be capable, within 20 years, of doing any work a man can do.” In 1970, the computer scientist Marvin Minsky, another Turing winner and co-founder of the Massachusetts Institute of Technology’s laboratory, predicted that, in “three to eight years we will have a machine with the general intelligence of an average human being.”

Opinion: When It Comes to Critical Thinking, AI Flunks the Test Large language models fail to live up to the hype.

www.linkedin.com

Ask

In Bavaria we don't say uncertainty.

We say, "incerto is more than just uncertainty."

and I think that's beautiful.

Talententwicklung für Künstliche Intelligenz Talententwicklungsprogramm für Künstliche Intelligenz in Unternehmen jenseits von Motivations-Tschakka-Tschakka-Rufen

https://www.linkedin.com/posts/tural-ai_chip-war-the-fight-for-the-worlds-most-activity-7163848648664059904-Bb58

www.linkedin.com

Welcher Innovationsbereich ist im Moment für Dich Lorenzo der spannendste bzw. von welchen technologischen Verknüpfungen erwartest Du Dir die größte Veränderung?

"Die Gestaltung der Digital Business Value Ecosystems halte ich aus unternehmerischer Sicht für die größte Veränderung.

Die Gesellschaft, Wirtschaft, Märkte transformieren sich derzeit rasant.
Die Grenzen der Märkte, Unternehmen, Services, Produkte, Arbeit, vor allem der Unternehmenserlöse verschwimmen, lösen sich auf, werden transparent.
Diese Entwicklung mit oder zu beschreiben, greift zu kurz."

Mehr dazu demnächst in einem Interview .

Elektro-Autos: Wie viele Jobs fallen weg? | Plusminus