If you are a student or academic researcher and want to make progress towards human-level AI:
>>>DO NOT WORK ON LLMs<<<
LLMs are an off ramp.
Thousands of engineers are working on LLMs with enormous computing resources.
The only way you could possibly contribute is by analyzing existing LLMs and showing their power and limitations.
But it's more fun and impactful to come up with new ideas and new architectures and show that they might work, even on small problems.
# on shortification of "learning"
There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are learning (but actually they are just having fun). The people creating this content also enjoy it because fun has a much larger audience, fame and revenue. But as far as learning goes, this is a trap. This content is an epsilon away from watching the Bachelorette. It's like snacking on those "Garden Veggie Straws", which feel like you're eating healthy vegetables until you look at the ingredients.
Learning is not supposed to be fun. It doesn't have to be actively not fun either, but the primary feeling should be that of effort. It should look a lot less like that "10 minute full body" workout from your local digital media creator and a lot more like a serious session at the gym. You want the mental equivalent of sweating. It's not that the quickie doesn't do anything, it's just that it is wildly suboptimal if you actually care to learn.
I find it helpful to explicitly declare your intent up front as a sharp, binary variable in your mind. If you are consuming content: are you trying to be entertained or are you trying to learn? And if you are creating content: are you trying to entertain or are you trying to teach? You'll go down a different path in each case. Attempts to seek the stuff in between actually clamp to zero.
So for those who actually want to learn. Unless you are trying to learn something narrow and specific, close those tabs with quick blog posts. Close those tabs of "Learn XYZ in 10 minutes". Consider the opportunity cost of snacking and seek the meal - the textbooks, docs, papers, manuals, longform. Allocate a 4 hour window. Don't just read, take notes, re-read, re-phrase, process, manipulate, learn.
And for those actually trying to educate, please consider writing/recording longform, designed for someone to get "sweaty", especially in today's era of quantity over quality. Give someone a real workout. This is what I aspire to in my own educational work too. My audience will decrease. The ones that remain might not even like it. But at least we'll learn something.
Kılıçdaroğlu'nun seçimi neden kaybetmiş olabileceğini sosyal psikoloji kuramlarıyla ve bulgularıyla tartıştığım bir yazı yazdım. Psikolojinin konuyla alakasını merak edenleri beklerim:
"Kaybedilmiş Seçimin Sosyal Psikolojik Otopsisi" https://t.co/u7XZZO6pB2
"O günün en meşhur pankartı 'Speravo de mori prima' (Daha erken ölmeyi umuyordum) idi. Çok komik ama aynı zamanda insanı düşündürüyor. Bunu kim yazdıysa -Romalılara özgü o hafif acı mizahla- benim emekliliğimin acısını kendi ölümünün önüne koymuş..." - Totti
Kimlik sorma ile ilgili son yaşananlar üzerine,
👉anlamak isteyenlere ithafen;
📌Polis her nerede olursa olsun PVSK kapsamında kimlik sormadan önce sebep bildirmeli. Polis makul sebep olmadan durduk yere veya salt polisim diye kimlik soramaz. Makul sebep/yazılı emir varsa önce++
bülent ecevit’in, 29 ocak 1971 tarihinde tbmm kürsüsünden sol örgütlere yönelik söylediği sözler.
"gerekirse, silahların üstüne silahsız gideceğiz; fakat hiçbir zaman, silahlı tedhişçiliği solculuk sanan sahte devrimcilerin kanlı ellerine ellerimizi vermeyeceğiz."
Bu eski fotoğrafın merkezinde yer alan kişiyi muhtemelen kolaylıkla tanırsınız. Bu kişi, Azerbaycan’ın 2003 yılında vefat eden 3. Cumhurbaşkanı Haydar Aliyev. Geri kalanlar ise şuan dünyanın en zengin hanedanlarından biri olan Aliyev ailesinin yaşayan üyeleri.