👑 @depangsube

@mspecter08 @LambeSahamjja MSCI kali yang tebang pilih. itu gamestop gak pernah dipermasalahkan? samsung, sk hynix kurang coordinate trading kyk gimana coba. lagi pula udah tau saham fundamental ga jelas, PER ratusan, tp tetep aja masih masuk. ga logis.

@LambeSahamjja kalau MSCI memang perusahaan riset hebat, masa iya dia merekomendasikan saham sejenis BREN yang PER nya sampe ratusan daripada yang funda bagus? trs kalau udah salah langkah, kenapa jadi indo yang dihukum? apa ini bentuk MSCI saving their face karena kecolongan?

All fun and games until you actually have to sell something.

Google just revealed how long SEO actually takes. They've given typical timelines for 23 crawling, indexing and serving processes, so I've put them all into this simple graphic. A few worth highlighting: - Discovering a new page: ~20 hours - Recrawling an existing page: ~30 days - Processing link signals: Minutes to 3 weeks - Updating a title in search: 1-2 days - Processing a site migration: 1-3 months - Recovering from a core update: 3-6 months For context, these timelines aren't how long it takes from making a change to seeing a result. Google needs to discover, crawl, index and serve your content, and those processes stack up. For example: Google might index your changes in just 1.5 hours. But if it doesn't crawl your page for another 30 days, those changes could stay unseen for a month. Some practical takeaways: 1. If you've updated a page and nothing's changed, check the last crawl date in Search Console before assuming your changes didn't work. 2. If new pages aren't getting indexed, look at your internal links, sitemap, crawlability and content quality. 3. If you're migrating a website, don't expect everything to be sorted overnight. Monitor redirects, canonicals and indexing throughout the process. 4. If you've been hit by a core update, don't expect a few quick fixes to bring your traffic back next week. And remember, these are Google's estimates, not guarantees. Some processes can take much longer or never happen at all. I've included all 23 processes in the graphic below. Save it for the next time you're wondering why your SEO changes aren't showing up.

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@nadzir17 @christianvctrs @pengejawantahan ini ngomongin bubble 2008 kan. apakah di indo property nya bubble? saya rasa msh jauh. krn bank di indo, cukup disiplin jagain kondisi dengan pengalaman kmrn. thn 2008 krisis karena didrive sama cdo di backing sama cds. jadi penyebabnya ya karena banking bukan karena rumah.

@karpathy

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

Andrej Karpathy @karpathy

7 months ago

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is

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Call center jobs grew ~4% annually for 15 years Now they’re shrinking 4% annually Charts of the Week: a16z.news/p/this-week-in…

@wayan_iswara @bacabacaupdate @christianvctrs orang-orang yang mana? tau market dibali itu siapa aja? 1. native denpasar badung 2. native bali luar denpasar badung 3. seluruh indonesia 4. seluruh dunia kalau 1 gak bisa, selalu ada fallback ke nomer selanjutnya. itu penyebab walaupun covid tetep aja laku kyk kacang

@Cheytax_1 bubble itu kalau anomali sistemik yang menjalar kyk wildfire. ini pelemahan aja. ga usah terlaku dibesar besarkan. tergantung daerah mana jg. saya kalah terus lelang bank di denpasar dan badung. ya karena demand nya kenceng bgt dari luar bali.

@nadzir17 @christianvctrs @pengejawantahan nah itu ditulis disana. risky subprime mortgage. bank nya awur awuran ngasi pinjaman karena ngejar cds. kebetulan aja yang jadi collateral ya property. yuk belajar lg biar ga tau cuman setengah2.

@iannuttall i own 4 domain with domain rating range between 70-85.

This guy re-created all the adobe apps with opus-5.5, ported them to rust, and opensourced them something really cool is happening

Lá chuối được cắt gọn gàng trước khi đóng gói .

Remember, people don’t pay for productivity

A short manual on how to systematically increase your exposure to opportunity. (1/2)

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kenapa revolusi ai ini berbeda dengan perumpamaan memasak yang lebih mudah? kalau memasak bisa tinggal merintah orang, mungkin dagang makanan jg bakalan bangkrut semua. ai ini bikin kondisi dimana building software semudah merintah.

John Rush @johnrush

3 weeks ago

Everything boosted by AI is losing its value down to zero - code / software / apps / saas - long form text / books / esays - video / music / ugs / art / photo / paintings - presentations / websites / landings - hard skills / math / 3d / translation / and so on... If I started

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@_sgarbini @paulg how? what replace it?

This is going up on my office wall