BeNN
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From simple ML algorithms to Neural Networks and Transformers — and from Number Theory to Topology, Cosmology to QED — dive into the world where code meets the cosmos.👨💻🌌 For Any Questions @benasphy
Ko'proq ko'rsatishMamlakat belgilanmaganTexnologiyalar & Aralashmalar42 385
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Obunachilar
Ma'lumot yo'q24 soatlar
+27 kun
+1130 kun
Postlar arxiv
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+1
I'm Messi fan, but honestly what Cris has done for Football, for human being Mentality is unparalleled! This guy came from worst scenario where young boys like I was who love football so much, but we think it is impossible to reach that high level. However, this man has showed us that Nothing is impossible! He has given everything to Become Him!
I know some people say he's not humble like Messi and stuff but u need to understand this man passed through all hurdles by the mentality he has right now it's humbleness actually if u look at it deeply. Like Max Verstappen said If u don't think u r the best u shouldn't compete. Lol I always remember the clutch moment he gave us and some suffering ain't gonna lie just wish him the best and Kudos to all his achievements and putting Portugal on the highest football map.
Happy Retirement!
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Btw there is an interesting hypothesis that says the main use of Dream is to avoid over fitting like ML models. As we all know our Daly routine has bunch of stuff and if our Brian memorizes all of it then it would hyper specialize like we say in ML overfit and that ain't gonna do anything good. I'll check the paper and share more here.
@BeNN_Pi
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More pics lol... Btw he is just 20yo, 68days and he is the youngest world champion in F1 ever
It is really cool to be with Max and Lewis the GOATS in the podium also
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Try here to watch Mexico Grandprix after an hour if u r interested... https://westreamf1.st/stream
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As much as I wanna shout how much we have tried to win I have to admire Arteta Demons Defense lol have never seen such level of defense man! Sometimes u gotta appreciate park the bus
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it is not about Lock in, but bringing value at what you do! so If you have already surpassed the procrastination stage then focus on bringing value not lock in for million years. Don't forget to enjoy Life also!
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For those who haven't claimed it yet please make sure you do! Also check ur email we have special program and If u wanna join check it out from the email
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Repost from Watcher Guru
JUST IN: 🇰🇵 North Korea responsible for $6 billion Binance hack, CNN reports.
@WatcherGuru
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Is it only me that really think we are WAY far behind in AI than what the Industry leaders are talking?👀️️️️️️
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I really think Chain-of-Thought (CoT) is Overrated atm! Ik CoT prompting was a brilliant breakthrough, but we're starting to hit its ceiling. Making LLMs explain every step through a linear stream of tokens isn't necessarily the most efficient way to solve complex problems. As we all know human beings don't think linearly we kinda jump from one idea to another and also we recognize patterns and stuff.
I'm particularly interested in where latent-space reasoning, MCTS, test-time compute and bunch of others could take us next because this way models can explore multiple reasoning paths in their hidden representations, pruning weak branches, and refining solutions before generating a final answer.
I also think It is really crucial understanding human Brain and Human biology for Innovation.
@BeNN_Pi
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Football won Today 🔥🔥👏👏👏u really deserve it more than those spoiled brats! Congrats Kane 👏👏
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Hey Everyone we have sent the result back Yesterday and check ur emails for those who applied. Congrats for those accepted and for others wish u good luck next time in another giveaway!
Also We will send another email Today where we will send instructions and details including Prize winning program for the selected students so keep an eye on ur email!
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The main reason I said this is for the past few years, the AI Industry has really focused mainly on Scaling(using scaling law). If you wanted a smarter model, you just threw 10x more GPUs, 10x more data, and millions of dollars at pre-training, but pre-training scaling is hitting a wall like High-quality text on the internet is running out, Hardware costs and power demands are skyrocketing, Simply making a model bigger doesn't automatically teach it genuine logic or multi-step reasoning.
Which brings us back to where real progress actually happens: "The Research Era" ... so in this era Instead of just scaling up, we are scaling smarter. Now The focus has shifted from pre-training mega-models to algorithmic breakthroughs during and after training like Inference-Time Compute and Reasoning, Reinforcement Learning (RL) Alignment, Architectural Efficiency.
I hope it is gonna be lit!
@BeNN_Pi
