#derivatives — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #derivatives, aggregated by home.social.
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Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function. It's the slope of the tangent line at any point.
Ex: `d/dx(x^2) = 2x`
Pro-Tip: Essential for finding max/min values, velocity from position, and understanding sensitivity!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function. It's the slope of the tangent line!
Ex: `f(x)=x^2`, then `f'(x)=2x`. At `x=3`, slope is `6`.
Pro-Tip: Think how fast is it changing *right now*?
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**Derivative:** Instantaneous rate of change of a function at a point (slope of its tangent line).
Ex: For `f(x)=x^2`, `f'(x)=2x`.
Pro-Tip: It's *how fast* something is changing at that exact moment! Think velocity.
#Calculus #Derivatives #STEM #StudyNotes -
Lightning Talk: Sophia Gold on An Intellectual History of Automatic Differentiation (2017)
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Lightning Talk: Sophia Gold on An Intellectual History of Automatic Differentiation (2017)
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Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function, or the slope of the tangent line at a point.
Ex: If `f(x) = x^2`, then `f'(x) = 2x`.
Pro-Tip: It's all about *how fast* something is changing right *now*!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function. It's the slope of the tangent line at any point.
Ex: `d/dx(x^n) = nx^(n-1)` (Power Rule).
Pro-Tip: Use it to find max/min values (optimization) or the velocity from a position function!
#Calculus #Derivatives #STEM #StudyNotes -
“There are other reasons to be bullish about #compute #standardisation. Chips from Nvidia’s Hopper range, which includes the H100, have held much of their rental value even as next-generation Blackwell models entered the market.
This flies in the face of a comment in March 2025 by Jensen Huang, Nvidia’s boss, that “when Blackwell starts shipping in volume, you couldn’t give Hoppers away”. It also suggests that #computed erivatives’ underlying #assets will not suddenly become worthless, the risk of which would slow adoption”
#Derivatives / #FinancialisingCompute / #MoneyTalks / #funding / #NeoCloud / #indicies / #ComputeCost / #FuturesMarket / #assets <https://www.economist.com/finance-and-economics/2026/06/22/how-to-turn-compute-into-a-financial-asset> (paywall) / <https://archive.md/YHOPYG
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“There are other reasons to be bullish about #compute #standardisation. Chips from Nvidia’s Hopper range, which includes the H100, have held much of their rental value even as next-generation Blackwell models entered the market.
This flies in the face of a comment in March 2025 by Jensen Huang, Nvidia’s boss, that “when Blackwell starts shipping in volume, you couldn’t give Hoppers away”. It also suggests that #computed erivatives’ underlying #assets will not suddenly become worthless, the risk of which would slow adoption”
#Derivatives / #FinancialisingCompute / #MoneyTalks / #funding / #NeoCloud / #indicies / #ComputeCost / #FuturesMarket / #assets <https://www.economist.com/finance-and-economics/2026/06/22/how-to-turn-compute-into-a-financial-asset> (paywall) / <https://archive.md/YHOPYG
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“There are other reasons to be bullish about #compute #standardisation. Chips from Nvidia’s Hopper range, which includes the H100, have held much of their rental value even as next-generation Blackwell models entered the market.
This flies in the face of a comment in March 2025 by Jensen Huang, Nvidia’s boss, that “when Blackwell starts shipping in volume, you couldn’t give Hoppers away”. It also suggests that #computed erivatives’ underlying #assets will not suddenly become worthless, the risk of which would slow adoption”
#Derivatives / #FinancialisingCompute / #MoneyTalks / #funding / #NeoCloud / #indicies / #ComputeCost / #FuturesMarket / #assets <https://www.economist.com/finance-and-economics/2026/06/22/how-to-turn-compute-into-a-financial-asset> (paywall) / <https://archive.md/YHOPYG
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“There are other reasons to be bullish about #compute #standardisation. Chips from Nvidia’s Hopper range, which includes the H100, have held much of their rental value even as next-generation Blackwell models entered the market.
This flies in the face of a comment in March 2025 by Jensen Huang, Nvidia’s boss, that “when Blackwell starts shipping in volume, you couldn’t give Hoppers away”. It also suggests that #computed erivatives’ underlying #assets will not suddenly become worthless, the risk of which would slow adoption”
#Derivatives / #FinancialisingCompute / #MoneyTalks / #funding / #NeoCloud / #indicies / #ComputeCost / #FuturesMarket / #assets <https://www.economist.com/finance-and-economics/2026/06/22/how-to-turn-compute-into-a-financial-asset> (paywall) / <https://archive.md/YHOPYG
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“There are other reasons to be bullish about #compute #standardisation. Chips from Nvidia’s Hopper range, which includes the H100, have held much of their rental value even as next-generation Blackwell models entered the market.
This flies in the face of a comment in March 2025 by Jensen Huang, Nvidia’s boss, that “when Blackwell starts shipping in volume, you couldn’t give Hoppers away”. It also suggests that #computed erivatives’ underlying #assets will not suddenly become worthless, the risk of which would slow adoption”
#Derivatives / #FinancialisingCompute / #MoneyTalks / #funding / #NeoCloud / #indicies / #ComputeCost / #FuturesMarket / #assets <https://www.economist.com/finance-and-economics/2026/06/22/how-to-turn-compute-into-a-financial-asset> (paywall) / <https://archive.md/YHOPYG
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Good Riddance #Greenspan
"Greenspan ushered in te widespread use of #derivatives which r used almost entirely for #speculation, thus divert'g resources & “talent” into #socially #destructive activity..🤦♂️ Greenspan's too much a free mkts true believer to even consider tt #markets hv a propensity to generate #bubbles & manias since they're highly profitable to intermediaries as they build up, plus insiders often manage to escape losses when they implode, or believe they can"
https://www.nakedcapitalism.com/2026/06/good-riddance-alan-greenspan.html -
Good Riddance #Greenspan
"Greenspan ushered in te widespread use of #derivatives which r used almost entirely for #speculation, thus divert'g resources & “talent” into #socially #destructive activity..🤦♂️ Greenspan's too much a free mkts true believer to even consider tt #markets hv a propensity to generate #bubbles & manias since they're highly profitable to intermediaries as they build up, plus insiders often manage to escape losses when they implode, or believe they can"
https://www.nakedcapitalism.com/2026/06/good-riddance-alan-greenspan.html -
Good Riddance #Greenspan
"Greenspan ushered in te widespread use of #derivatives which r used almost entirely for #speculation, thus divert'g resources & “talent” into #socially #destructive activity..🤦♂️ Greenspan's too much a free mkts true believer to even consider tt #markets hv a propensity to generate #bubbles & manias since they're highly profitable to intermediaries as they build up, plus insiders often manage to escape losses when they implode, or believe they can"
https://www.nakedcapitalism.com/2026/06/good-riddance-alan-greenspan.html -
Good Riddance #Greenspan
"Greenspan ushered in te widespread use of #derivatives which r used almost entirely for #speculation, thus divert'g resources & “talent” into #socially #destructive activity..🤦♂️ Greenspan's too much a free mkts true believer to even consider tt #markets hv a propensity to generate #bubbles & manias since they're highly profitable to intermediaries as they build up, plus insiders often manage to escape losses when they implode, or believe they can"
https://www.nakedcapitalism.com/2026/06/good-riddance-alan-greenspan.html -
Good Riddance #Greenspan
"Greenspan ushered in te widespread use of #derivatives which r used almost entirely for #speculation, thus divert'g resources & “talent” into #socially #destructive activity..🤦♂️ Greenspan's too much a free mkts true believer to even consider tt #markets hv a propensity to generate #bubbles & manias since they're highly profitable to intermediaries as they build up, plus insiders often manage to escape losses when they implode, or believe they can"
https://www.nakedcapitalism.com/2026/06/good-riddance-alan-greenspan.html -
Alright, future engineers!
**Derivative:** Measures the instantaneous rate of change of a function. It's the slope of the tangent line at any point!
Ex: `d/dx (x^2) = 2x`.
Pro-Tip: Use it to find velocity from position, or acceleration from velocity!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**Derivative:** Measures the instantaneous rate of change of a function.
Ex: For `f(x) = x^2`, `f'(x) = 2x`. It's the slope of the tangent line!
Pro-Tip: Think 'slope'! Essential for optimizing designs & analyzing rates in dynamic systems.
#Calculus #Derivatives #STEM #StudyNotes -
David Nolen on Parsing With Derivatives (2016)
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David Nolen on Parsing With Derivatives (2016)
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Alright, future engineers!
**Derivative:** Measures a function's instantaneous rate of change—the slope of its tangent line at any point.
Ex: If `f(x) = x^2`, its derivative `f'(x) = 2x`.
Pro-Tip: It's vital for finding maximum/minimum values & understanding how sensitive systems are to input changes!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**Derivative:** Measures a function's instantaneous rate of change—the slope of its tangent line at any point.
Ex: If `f(x) = x^2`, its derivative `f'(x) = 2x`.
Pro-Tip: It's vital for finding maximum/minimum values & understanding how sensitive systems are to input changes!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function, or the slope of its tangent line.
Ex: Power Rule: `d/dx (x^n) = nx^(n-1)`
Pro-Tip: It tells you how fast is this changing *right now*?
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function, or the slope of its tangent line.
Ex: Power Rule: `d/dx (x^n) = nx^(n-1)`
Pro-Tip: It tells you how fast is this changing *right now*?
#Calculus #Derivatives #STEM #StudyNotes -
Kalshi is bringing one of crypto’s riskiest trading products to America
https://fed.brid.gy/r/https://nerds.xyz/2026/05/kalshi-crypto-perpetual-futures-america/
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https://www.europesays.com/britain/48177/ LSEG, ASX Update Derivatives Trading Platform #Derivatives #Exchanges #LondonStockExchangeGroup #LSEG #technology
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Alright, future engineers!
The **Derivative** measures a function's instantaneous rate of change – the slope of its tangent line.
Ex: `d/dx (x^3) = 3x^2` (Power Rule!)
Pro-Tip: A positive derivative means the function is increasing; negative means decreasing!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
The **Derivative** measures a function's instantaneous rate of change – the slope of its tangent line.
Ex: `d/dx (x^3) = 3x^2` (Power Rule!)
Pro-Tip: A positive derivative means the function is increasing; negative means decreasing!
#Calculus #Derivatives #STEM #StudyNotes -
The fancy vocabulary of finance is efficient once you learn the lingo, but the actual foundation is built on concepts you already use every day https://hackernoon.com/a-derivative-is-just-a-function #derivatives
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The fancy vocabulary of finance is efficient once you learn the lingo, but the actual foundation is built on concepts you already use every day https://hackernoon.com/a-derivative-is-just-a-function #derivatives
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Softmax, can you derive the Jacobian? And should you care?
https://idlemachines.co.uk/essays/softmax
#HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research
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Softmax, can you derive the Jacobian? And should you care?
https://idlemachines.co.uk/essays/softmax
#HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research
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Softmax, can you derive the Jacobian? And should you care?
https://idlemachines.co.uk/essays/softmax
#HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research
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Softmax, can you derive the Jacobian? And should you care?
https://idlemachines.co.uk/essays/softmax
#HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research
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Softmax, can you derive the Jacobian? And should you care?
https://idlemachines.co.uk/essays/softmax
#HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research
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Alright, future engineers!
A **Derivative** measures the instantaneous rate of change of a function or the slope of its tangent line.
Ex: Power Rule: `d/dx (x^n) = n*x^(n-1)` (e.g., `d/dx(x^3) = 3x^2`).
Pro-Tip: Think 'slope'! It tells you how fast something is changing *at that exact moment*.
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
A **Derivative** measures the instantaneous rate of change of a function or the slope of its tangent line.
Ex: Power Rule: `d/dx (x^n) = n*x^(n-1)` (e.g., `d/dx(x^3) = 3x^2`).
Pro-Tip: Think 'slope'! It tells you how fast something is changing *at that exact moment*.
#Calculus #Derivatives #STEM #StudyNotes -
Ah, another riveting revelation that "areas" need definitions! 🤔 This mind-blowing journey through #rectangles and partitions will surely redefine your life—assuming, of course, that you've never heard of #calculus before. 🙄 Bravo for connecting #integrals and #derivatives, an insight only centuries old! 🎉
https://david.alvarezrosa.com/posts/fundamental-theorem-of-calculus/ #areas #definitions #HackerNews #ngated -
Ah, another riveting revelation that "areas" need definitions! 🤔 This mind-blowing journey through #rectangles and partitions will surely redefine your life—assuming, of course, that you've never heard of #calculus before. 🙄 Bravo for connecting #integrals and #derivatives, an insight only centuries old! 🎉
https://david.alvarezrosa.com/posts/fundamental-theorem-of-calculus/ #areas #definitions #HackerNews #ngated -
Alright, future engineers!
**The Chain Rule** helps differentiate composite functions (functions within functions).
Ex: If `y = sin(x^2)`, then `y' = cos(x^2) * 2x`.
Pro-Tip: Derivative of the outside, times derivative of the inside!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
**The Chain Rule** helps differentiate composite functions (functions within functions).
Ex: If `y = sin(x^2)`, then `y' = cos(x^2) * 2x`.
Pro-Tip: Derivative of the outside, times derivative of the inside!
#Calculus #Derivatives #STEM #StudyNotes -
https://www.europesays.com/ch/49117/ Energy trader Vitol reorganises derivatives team after losses — Bloomberg #CommodityTrading #derivatives #DerivativesMarkets #Vitol
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Alright, future engineers!
The **Derivative** `f'(x)` is the instantaneous rate of change of a function, or the slope of its tangent line. Ex: If `f(x)=x^3`, `f'(x)=3x^2`. Pro-Tip: It's crucial for optimization & understanding how systems respond instantly!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
The **Derivative** `f'(x)` is the instantaneous rate of change of a function, or the slope of its tangent line. Ex: If `f(x)=x^3`, `f'(x)=3x^2`. Pro-Tip: It's crucial for optimization & understanding how systems respond instantly!
#Calculus #Derivatives #STEM #StudyNotes -
Alright, future engineers!
A **Derivative** is the instantaneous rate of change of a function, or the slope of its tangent line. Ex: For `f(x) = x^2`, `f'(x) = 2x`. Pro-Tip: It's how fast things *are changing* right now!
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Alright, future engineers!
A **Derivative** is the instantaneous rate of change of a function, or the slope of its tangent line. Ex: For `f(x) = x^2`, `f'(x) = 2x`. Pro-Tip: It's how fast things *are changing* right now!
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A **Derivative** measures a function's *instantaneous* rate of change. Ex: `d/dx(x^n) = nx^(n-1)`. Pro-Tip: Think slope of the tangent line! It's crucial for analyzing motion, rates, & optimization.
#Calculus #Derivatives #STEM #StudyNotes -
A **Derivative** measures a function's *instantaneous* rate of change. Ex: `d/dx(x^n) = nx^(n-1)`. Pro-Tip: Think slope of the tangent line! It's crucial for analyzing motion, rates, & optimization.
#Calculus #Derivatives #STEM #StudyNotes -
The derivative measures a function's instantaneous rate of change (its slope!). Ex: `d/dx(x^3) = 3x^2`. Pro-Tip: Crucial for optimization – find max/min points when `f'(x)=0`.
#Calculus #Derivatives #STEM #StudyNotes