You can say about #ElonMusk what you want - and I will often agree, I guess.
But this time, he was so painfully right, I heard the slaps in the #BBC's reporter's face! And for each slap I thought: Right you are, Elon! Right you are!
You can say about #ElonMusk what you want - and I will often agree, I guess.
But this time, he was so painfully right, I heard the slaps in the #BBC's reporter's face! And for each slap I thought: Right you are, Elon! Right you are!
RT @drclairetaylor
All going not well then.
75% increase in Covid cases in UK in less than 2 weeks.
5 waves of Covid in a year already and on the way up again.
This is not working.
Omicron is the reinfection curse.
https://inews.co.uk/news/science/covid-cases-rise-uk-omicron-immunity-spring-2228665
Let me paraphrase:
We don't know why it works, but we do know it's getting intelligent!
Now, what could possibly go wrong?
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data. In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI. We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models. We discuss the rising capabilities and implications of these models. We demonstrate that, beyond its mastery of language, GPT-4 can solve novel and difficult tasks that span mathematics, coding, vision, medicine, law, psychology and more, without needing any special prompting. Moreover, in all of these tasks, GPT-4's performance is strikingly close to human-level performance, and often vastly surpasses prior models such as ChatGPT. Given the breadth and depth of GPT-4's capabilities, we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system. In our exploration of GPT-4, we put special emphasis on discovering its limitations, and we discuss the challenges ahead for advancing towards deeper and more comprehensive versions of AGI, including the possible need for pursuing a new paradigm that moves beyond next-word prediction. We conclude with reflections on societal influences of the recent technological leap and future research directions.
RT @WCGvM
@JAMANetwork: „Geimpfte Personen haben im Vergleich zu Ungeimpften ein deutlich geringeres Risiko an Post-Covid zu erkranken.“
@regiopraxis - @MEDI_MVZ
https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2802877
RT @RWittenbrink
Exosomenbasierter multivalenter Impfstoff: Erzielung einer wirksamen Immunisierung, einer breiteren Reaktivität und einer starken T-Zell-Antwort mit Nanogramm an Proteinen
Was sind Exosomen? Exosomen (s. Bild) sind kleine…