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What is The Graph?

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The Graph

339,129 subscribers

196,431 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von HyenaKripto
HyenaKriptovor 1 Jahr

Grt > google

Profilbild von Alpha-Infinity
Alpha-Infinityvor 1 Jahr

$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

Profilbild von Bao Anh
Bao Anhvor 1 Jahr

to the moon

Profilbild von Dennoxxxx
Dennoxxxxvor 1 Jahr

Very Good Explantation!

Profilbild von supriyadi Kaisar ꧁IP꧂ ✸,✸
supriyadi Kaisar ꧁IP꧂ ✸,✸vor 1 Jahr

to the sky..

Profilbild von YJ168
YJ168vor 1 Jahr

GRT = GTR

Profilbild von TaparooSwap
TaparooSwapvor 1 Jahr

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

Profilbild von aysima 🍬
aysima 🍬vor 1 Jahr

🚀🚀🚀🚀🚀

Profilbild von GRT-Bull
GRT-Bullvor 1 Jahr

we need commercials on TV bro

Profilbild von Glen2Moon
Glen2Moonvor 1 Jahr

Is GRT like a Web3 data highway toll?

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The graph is on the floor now, surely?

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This woman is on the left side of the graph😂
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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

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what if we had graph-based web browsers
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what if we had graph-based web browsers

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This graph is bullshit btw
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This graph is bullshit btw

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Noisy

28,652 Aufrufe • vor 21 Tagen

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
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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

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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.
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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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stranger

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UK Labor hates White People. Look what they did with this graph 🤨
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UK Labor hates White People. Look what they did with this graph 🤨

Lozzy B 🇦🇺𝕏

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Rupert Lowe - We spend the third most in Europe on healthcare. Cue a graph showing he’s talking bollocks. RL - is this a BBC graph. JC - no stop being facetious. #PoliticsLive #PMQs
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Rupert Lowe - We spend the third most in Europe on healthcare. Cue a graph showing he’s talking bollocks. RL - is this a BBC graph. JC - no stop being facetious. #PoliticsLive #PMQs

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Knowing where the yield comes from isn't enough. Knowing what risk comes with it is what tells the story. Risk Graph is your real-time risk tool for mapping dependencies across assets, protocols, and chains. Agentic-first, pay-per-request via x402, settled on Base.
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Knowing where the yield comes from isn't enough. Knowing what risk comes with it is what tells the story. Risk Graph is your real-time risk tool for mapping dependencies across assets, protocols, and chains. Agentic-first, pay-per-request via x402, settled on Base.

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"Its basically deadly attacks vs time on a graph - extrapolate that graph and it leads to the Slaughter of Europe" "The Numbers are clear" People still have no idea just hope precarious the situation for the whole of Europe is.
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"Its basically deadly attacks vs time on a graph - extrapolate that graph and it leads to the Slaughter of Europe" "The Numbers are clear" People still have no idea just hope precarious the situation for the whole of Europe is.

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Feeling overwhelmed and exhausted? YEP… The Graph is almost fully green, we’re reaching the tipping point…🔥✨
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Feeling overwhelmed and exhausted? YEP… The Graph is almost fully green, we’re reaching the tipping point…🔥✨

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