Sam Altman New statement On GPT-5 Is Surprising!

preview_player
Показать описание


Links From Todays Video:

Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos.

Was there anything i missed?

#LLM #Largelanguagemodel #chatgpt
#AI
#ArtificialIntelligence
#MachineLearning
#DeepLearning
#NeuralNetworks
#Robotics
#DataScience
Рекомендации по теме
Комментарии
Автор

You should at least name who the guy (Kevin Scott) is lol

DicksonPau
Автор

Never base opinions off of graphs that have no labels

MrNobodyX
Автор

Let me summarise Sam Altman's statements:
1. GPT-5 will be smarter
2. Don't miss out
3. It's amazing

SanderFocus
Автор

Someone put "just another INSANELY CRAZY day in AI" on a shirt

jefferybenzos
Автор

According to the graph, we *potentially* might be still alive in 2026. Wow

lmnkzky
Автор

The chart is NOT referring to intelligence over time, it is referring to compute power required to run new models. Which is not a good thing necessarily... The chart is showing how much more computing power is required for these models as they get bigger. Again, it is NOT based on how much smarter they are getting.

robweaver
Автор

“The only problem with the chart” is that it does have any scale or labels on the Y axis lol

yungouda
Автор

Sam Altman say anything new? He says that in every interview "It will be smarter across the board"....yeah? surprising? no... but I didn't watch every minute because I just heard him say the exact same thing...why are you surprised??

phen-themoogle
Автор

Look, I still need to go to work on Monday - tell me when this shit replaces that and I can chill instead

wdyblack
Автор

2:07 In general, increasing the compute exponentially means that, close to the end of Moore’s Law, the cost also tends to increase exponentially. We should also keep in mind that inference scale basically linear with model size (according to the scaling law paper of OpenAI).

OmicronChannel
Автор

It gets interesting when the amount of compute required to train a next generation model drops by 90%. When that happens, it points to ASI. That's what I'm watching for, little else matters.

TheMrCougarful
Автор

That’s not a real quantitative chart. It’s just conveying the general concept that it’s going up. In fact it’s not even increasing exponentially in the chart; the beginning looks exponential but then it quickly becomes linear. Kind of like a softplus function.

therainman
Автор

as eleizer yudkowsky said in his ted talk, at some point, these companies racing ever faster to scale ai will cough out something smarter than humanity

CGMushrom
Автор

I really appreciate your work by the way Keep it up brother. Your information is accurate and reliable, you don't have click baits and you do your research very well. Keep it up and also thankyou we need more like you

kelvinndeti
Автор

This will be near AGI...which means the work applications will ALSO jump as well.
Robotics included.
I believe people are gonna underestimate this thing and get caught slippin.
White collar jobs have a target on their back.

mrd
Автор

the chat gpt 8 announcement will just be a cyborg nobody can distinguish from Sam that he's sent to give the talk while he sips martinis in St.Tropez.

BornToTroll-itju
Автор

In my plus acc I created a gpt, loaded a pdf for it to reference, added custom cmds forcing a PDF check before responding - it still performs badly.

soundproductionandadvice
Автор

GPT 4o is already massively insane, just imagine GPT 5 and beyond.

nesseihtgnay
Автор

the end of ur video always make me chuckle its always brutal in term of cut

edgardsimon
Автор

Maybe should have asked GPT “hey does my audio sound ok?”

areaxi