"Im schlimmsten Fall lösen Return-to-Office-Mandate das Gegenteil dessen aus, was bezüglich Flexibilität, Autonomie und Wohlbefinden der Mitarbeitenden beabsichtigt war."
Oft könnten sie nicht begründen, warum es vorteilhaft sei, wenn alle im Büro sind - zumal viele Teams ohnehin international virtuell zusammenarbeiten
Neal Woolrich von #Gartner#HomeOffice https://www.cio.de/a/warum-vorgesetzte-ehrlicher-sein-muessen,3698054
Das kannte ich noch gar nicht. Bei meinem schwarzen Daumen sollte ich das auch eher anderen überlassen, aber vielleicht kann ja jemand die Info brauchen.
So langsam beginnt ja die Vorzuchtsaison, wir #Gärtner scharren schon mit den Hufen...
Als #Vorzuchterde verwende ich seit ein paar Jahre nur noch gesiebten Kompost, höchstens mal mit etwas Sand abgemagert.
Um die Erde unkrautfrei zu bekommen, kann man die entweder im Backofen sterilisieren... oder den genauso stromfreien wie unspektakulären brummschen Lifehack verwenden:
The Gartner sales folk are trained to be Certified Buzzword Masters.
I checked the email header and then looked at his LinkedIn profile. The email is really from Gartner. After three emails in less than 24 hours I replied to him, "Cullen,
You’ve sent me three emails in the space of 24 hours. I’ve read all three of them, and I can’t tell if you’re trying to hire my services or sell me something."
He sent a fourth email - more buzzwords - and I STILL can't tell if he wants to pay me to be on some panel or if he wants me to buy Gartner consulting services.
Generative AI, meaning models which imitate existing digital artifacts and media isn't what all this is about. This was an attempt to find a common name for both #LargeLanguageModel chatbots and to generative image/video/sound models in wide use now. It's a descriptive label which looks to the past.
The next generation of these systems won't be imitative, but they will be trained in self-competition as agents. It's not about them generating content based on examples, it is about surpassing human cognition in agents making decisions. We already use #agentic architectures when we deploy LLMs. It's still the same tech though, a natural next step, not something radically different.
LLM chatbots weren't made to be assistants or chatbots, they were made to measure the intelligence of the underlying deep neural network. It comes from #AGI tech, not from generative models. That is the correct umbrella term for these technologies, at least as they apply to #automation and surpassing human intellectual and cognitive limits.
@Jdreben, I think it's fine to label systems and technologies, classify them into schools of thought and families.
However, #ChatGPT is about so many distinct technologies. So is #Midjourney and #StableDiffusion. Business people see stuff changing, observe a technology trend which means investment and recruitment, new kinds of products and services, new technological capabilities.
They want to name this point in history with a label for this technology trend, and since they are looking at it from the outside, misunderstanding what it's all about, they name it and slap it on a #Gartner#HypeCycle as "Generative AI".
Now, it's not a completely bad name, it describes a set of groundbreaking applications which are currently the archetypal examples showing what this change is about.
But as I see what happens next in this same tech, I see the underlying currents of thought and tech, I think a better name would be #AGI.
We've just published our first telecom-focused generative AI note -- our use case prism for generative AI for CSPs! Communication service providers of all shapes and sizes can use this to help evaluate both the value and feasibility of the various generative AI use cases they're considering. Congrats to Pulkit Pandey and Ajit Patankar on getting this out the door! #Gartner#CSP#Communications#GenerativeAIhttps://gartner.com/document/4544799