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What is The Graph?

The Graph

339,129 subscribers

196,431 次观看 • 1 年前 •via X (Twitter)

科学技术新闻政治教育

Anya Rossi• Live Now

Private livecam show

10 条评论

HyenaKripto 的头像

HyenaKripto1 年前

Grt > google

Alpha-Infinity 的头像

Alpha-Infinity1 年前

$GRT IS BARELY MID-CAP #CRYPTO: TIME 2 BUY. GRT GETS HOT DEC-FEB HISTORICALLY="#AMAZON OF QUERYING" & "#GOOGLE OF #BLOCKCHAIN" #WEB3+HUGELY UNDERVALUED #NVIDIA #Election2024 #HBAR #XRP #TREND #FOMO #TRADERS #FUTURE #VALUE #cryptocurrency #cryptos #hodl

Bao Anh 的头像

Bao Anh1 年前

to the moon

Dennoxxxx 的头像

Dennoxxxx1 年前

Very Good Explantation!

supriyadi Kaisar ꧁IP꧂ ✸,✸ 的头像

supriyadi Kaisar ꧁IP꧂ ✸,✸1 年前

to the sky..

YJ168 的头像

YJ1681 年前

GRT = GTR

TaparooSwap 的头像

TaparooSwap1 年前

Hey team! Our ETH <> BTC Bridge is live, and you’ve been selected to be onboard! Welcome to Bitcoin @graphprotocol 🧡

aysima 🍬 的头像

aysima 🍬1 年前

🚀🚀🚀🚀🚀

GRT-Bull 的头像

GRT-Bull1 年前

we need commercials on TV bro

Glen2Moon 的头像

Glen2Moon1 年前

Is GRT like a Web3 data highway toll?

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The graph is on the floor now, surely?

The graph is on the floor now, surely?

A Dog That Bites

14,139 次观看 • 3 个月前

This woman is on the left side of the graph😂

This woman is on the left side of the graph😂

Janet™

53,292 次观看 • 3 个月前

Andrew Ng just dropped the best 1-hour course on Graph Engineering: from zero to full automation 00:00 - What is graph engineering 03:05 - Building a graph 13:58 - Multi agent architecture 22:57 - Live build: Google ADK 01:06:02 - Why graphs are the future This 1-hour watch replaces any $500 course you could pay for Watch it, then try your first graph with the step-by-step guide below

Andrew Ng just dropped the best 1-hour course on Graph Engineering: from zero to full automation 00:00 - What is graph engineering 03:05 - Building a graph 13:58 - Multi agent architecture 22:57 - Live build: Google ADK 01:06:02 - Why graphs are the future This 1-hour watch replaces any $500 course you could pay for Watch it, then try your first graph with the step-by-step guide below

Mahax

67,497 次观看 • 10 天前

what if we had graph-based web browsers

what if we had graph-based web browsers

Aiden Bai

18,656 次观看 • 1 年前

2022 was an incredible year for The Graph ecosystem 🧑‍🚀 Listen to The Graph core dev teams reflect on what they were most proud of in 2022, & what they can’t wait to work on in 2023! What are you looking forward to most in the new year? 🥂

2022 was an incredible year for The Graph ecosystem 🧑‍🚀 Listen to The Graph core dev teams reflect on what they were most proud of in 2022, & what they can’t wait to work on in 2023! What are you looking forward to most in the new year? 🥂

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27,791 次观看 • 3 年前

This graph is bullshit btw

This graph is bullshit btw

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At 15 he built his first Graph - today he lectures at Stanford in front of 500 students: 00:17 - how Antropic and Google use Graph 08:34 - Graph decides 95% of what you see online every day 19:47 - Graph will find a cure for cancer faster than 1000 scientists after watching I realized that 1% of people who know Graph control the lives of the other 99%. Bookmark it & watch today - then read the article below to join that 1%

Noisy

28,652 次观看 • 21 天前

context engineering vs graph engineering. every few months the list gets a new word and everyone treats it as a replacement for the last one. these two are not on the same list. one decides what the model sees this turn, the other decides what exists at all. the cleanest way to tell them apart is to ask what a single unit of work looks like. > context engineering is the window the window opens empty, every single time. you assemble what goes in it. the prompt, the docs, the history, the tool results. the assembling is the work. the window only grows. it never shrinks on its own, so eventually something gets dropped. usually from the middle. usually without telling you. then the turn ends and the window is thrown away. not archived, thrown away. the next turn opens empty again and you re-explain what you already explained. good context engineering is knowing what to leave out, not what to pack in. the unit of work is one window. > graph engineering is the structure the same material arrives from the same sources. instead of packing it into a window, you pull entities out of it, resolve the duplicates into one node, and write typed edges between them. nothing here is stored as text you hope to find again. it is stored as a thing with a name and its connections to other things. when the turn ends, the graph is still there. the next turn does not start from zero. it starts by querying what already exists, and the query walks edges instead of guessing at similarity. good graph engineering is deciding what counts as the same thing twice. the unit of work is one relationship. > they are not alternatives the graph is what refills the window. context engineering decides what fits. graph engineering decides what there is to choose from. remove the graph and every session starts blind. remove the context work and the best structure in the world arrives as an unreadable dump. that also tells you which one broke. the answer drifted from what you actually said, or forgot something from this same session. that is the window. the answer is coherent but invents a connection that does not exist, or cannot join two facts it has clearly seen. that is the structure. people debug the prompt because the prompt is the easiest thing to edit. it keeps taking the blame for failures that live a layer down. save this - then read the full breakdown below

context engineering vs graph engineering. every few months the list gets a new word and everyone treats it as a replacement for the last one. these two are not on the same list. one decides what the model sees this turn, the other decides what exists at all. the cleanest way to tell them apart is to ask what a single unit of work looks like. > context engineering is the window the window opens empty, every single time. you assemble what goes in it. the prompt, the docs, the history, the tool results. the assembling is the work. the window only grows. it never shrinks on its own, so eventually something gets dropped. usually from the middle. usually without telling you. then the turn ends and the window is thrown away. not archived, thrown away. the next turn opens empty again and you re-explain what you already explained. good context engineering is knowing what to leave out, not what to pack in. the unit of work is one window. > graph engineering is the structure the same material arrives from the same sources. instead of packing it into a window, you pull entities out of it, resolve the duplicates into one node, and write typed edges between them. nothing here is stored as text you hope to find again. it is stored as a thing with a name and its connections to other things. when the turn ends, the graph is still there. the next turn does not start from zero. it starts by querying what already exists, and the query walks edges instead of guessing at similarity. good graph engineering is deciding what counts as the same thing twice. the unit of work is one relationship. > they are not alternatives the graph is what refills the window. context engineering decides what fits. graph engineering decides what there is to choose from. remove the graph and every session starts blind. remove the context work and the best structure in the world arrives as an unreadable dump. that also tells you which one broke. the answer drifted from what you actually said, or forgot something from this same session. that is the window. the answer is coherent but invents a connection that does not exist, or cannot join two facts it has clearly seen. that is the structure. people debug the prompt because the prompt is the easiest thing to edit. it keeps taking the blame for failures that live a layer down. save this - then read the full breakdown below

Hanako

19,089 次观看 • 13 天前

By the Koebe–Andreev–Thurston theorem, every finite triangulation of the plane is the tangent graph of some circle packing. This is a manim animation. It generates a finite graph with given number of boundary/interior points inside a bounding rectangle.

By the Koebe–Andreev–Thurston theorem, every finite triangulation of the plane is the tangent graph of some circle packing. This is a manim animation. It generates a finite graph with given number of boundary/interior points inside a bounding rectangle.

赵亮

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The Older Millennial goes over possibly the most deceptive graph ever released by a government When you understand what this graph is actually showing and how the liberal UK government made it, you should be furious “This legitimately might be the most deceptive graph ever released in the history of government statistics. Now this is in the UK. I want you to just take a look at this graph. (Seriously look at the graph in the video) It says net fiscal position by ethnic group. This is the mean equivalized pounds per year per household. And if you were to just look at this, you would see that every ethnic group is doing significantly better except for the white people, right? That's what it looks like they're trying to tell you here. However, if you look at what this is actually measuring, it's the opposite. So it says the source is ONS. It's for fiscal year 2023-2024. - Positive equals receives more in benefits than pays in taxes - Negative equals net contributor Okay, so let's look at this table again. What this graph actually means is that only the white people contribute more than they receive in benefits. Asian, black, other, mix, they all receive significantly more in government benefits than they contribute with only the white population contributing more than they get. And I thought the United States government was good at bullsh*tting….”

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