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1000 results for “jeremy_data”
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#Sondaggi #RegnoUnito #Locali #Londra
Sondaggio di JL Partners:Scenario: Jeremy #Corbyn si candida
Sadiq #Khan (#LAB|S&D): 35%
Susan #Hall (#CON|Centro-destra): 32%
Howard #Cox (#Reform|Destra populista): 8%
Jeremy #Corbyn: 5%
Rob #Blackie (#LDEM|RE): 5%
Zoë #Garbett (#Greens|G/EFA): 5%Data rilevazione: 9-21 settembre
Intervistati: 1000
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#Sondaggi #RegnoUnito #Locali #Londra
Sondaggio di JL Partners:Scenario: Jeremy #Corbyn si candida
Sadiq #Khan (#LAB|S&D): 35%
Susan #Hall (#CON|Centro-destra): 32%
Howard #Cox (#Reform|Destra populista): 8%
Jeremy #Corbyn: 5%
Rob #Blackie (#LDEM|RE): 5%
Zoë #Garbett (#Greens|G/EFA): 5%Data rilevazione: 9-21 settembre
Intervistati: 1000
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2024/10/16 Media Summary #crosspost
How Uber Manages Petabytes of Real-Time Data#Amari Cooper trade
#Victoria Secret Fashion Show
argmaxinc/WhisperKit
siyuan-note/siyuan
onevcat/Kingfisher
kubernetes-sigs/controller-runtime
kestra-io/kestra
absolutelynotme_irl
Poor Jeremy
Perceptions
Merry-Go-Rounds
The Making of “Citizen”: Claudia Rankine
Revisiting ‘Citize
https://blog.wuyuansheng.com/2024/10/16/2024-10-16-media-summary-crosspost/
#Work -
https://winbuzzer.com/2026/05/11/micron-memory-bottlenecks-threaten-ai-inference-efficiency-xcxwbn/
Micron's Jeremy Wernersays memory limits are becoming the constraint that can keep expensive data-center GPUs from running AI inference efficiently.
#AI #AIInference #Micron #AIInfrastructure #AICompute #AIChips #AIHardware #GPUs #HBMy#DataCenters #JeremyWerner
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https://winbuzzer.com/2026/05/11/micron-memory-bottlenecks-threaten-ai-inference-efficiency-xcxwbn/
Micron's Jeremy Wernersays memory limits are becoming the constraint that can keep expensive data-center GPUs from running AI inference efficiently.
#AI #AIInference #Micron #AIInfrastructure #AICompute #AIChips #AIHardware #GPUs #HBMy#DataCenters #JeremyWerner
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https://winbuzzer.com/2026/05/11/micron-memory-bottlenecks-threaten-ai-inference-efficiency-xcxwbn/
Micron's Jeremy Wernersays memory limits are becoming the constraint that can keep expensive data-center GPUs from running AI inference efficiently.
#AI #AIInference #Micron #AIInfrastructure #AICompute #AIChips #AIHardware #GPUs #HBMy#DataCenters #JeremyWerner
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https://winbuzzer.com/2026/05/11/micron-memory-bottlenecks-threaten-ai-inference-efficiency-xcxwbn/
Micron's Jeremy Wernersays memory limits are becoming the constraint that can keep expensive data-center GPUs from running AI inference efficiently.
#AI #AIInference #Micron #AIInfrastructure #AICompute #AIChips #AIHardware #GPUs #HBMy#DataCenters #JeremyWerner
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https://winbuzzer.com/2026/05/11/micron-memory-bottlenecks-threaten-ai-inference-efficiency-xcxwbn/
Micron's Jeremy Wernersays memory limits are becoming the constraint that can keep expensive data-center GPUs from running AI inference efficiently.
#AI #AIInference #Micron #AIInfrastructure #AICompute #AIChips #AIHardware #GPUs #HBMy#DataCenters #JeremyWerner
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HB 754/SB 676 sponsor Rep. Jeremy Faison (R) calls gender-affirming care ‘as dumb as frontal lobotomies’.
American's should be very upset that their State Legislatures are making laws that their constituents aren't being allowed to vote on.
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"Ruby’s String class violates SRP (it can represent text, binary data, act as a builder, as a modifier…), but it’s precisely that flexibility that makes it excellent."
> Jeremy Evans says in Polished Ruby Programming -
Let’s meet at ShinyConf!
✦ {gsm․app}: Extensible Clinical Trial Monitoring Apps – Jon Harmon and Jeremy Wildfire
✦ Interactive Visualizations for Medical Data Review: A teal Module Showcase – Nina Qi and Dony UnardiJoin us: http://go.appsilon.com/shinyconf2025
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This Guardian article https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database suffers from the same trap of anthropomorphism as the original I read: https://oldbytes.space/@fluidlogic/116482496017786464
agent gone rogue
These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.
The culprit was Cursor, an AI agent
The culprit was the idiot who wired the agent into their production system.
[Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.
Jeremy Crane caused his own business to unravel.
The agent appeared to plead guilty in its own response
At last, an "appeared to". These tools are all appearance and no substance.
Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”
Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.
And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.
-
This Guardian article https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database suffers from the same trap of anthropomorphism as the original I read: https://oldbytes.space/@fluidlogic/116482496017786464
agent gone rogue
These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.
The culprit was Cursor, an AI agent
The culprit was the idiot who wired the agent into their production system.
[Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.
Jeremy Crane caused his own business to unravel.
The agent appeared to plead guilty in its own response
At last, an "appeared to". These tools are all appearance and no substance.
Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”
Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.
And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.
-
This Guardian article https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database suffers from the same trap of anthropomorphism as the original I read: https://oldbytes.space/@fluidlogic/116482496017786464
agent gone rogue
These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.
The culprit was Cursor, an AI agent
The culprit was the idiot who wired the agent into their production system.
[Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.
Jeremy Crane caused his own business to unravel.
The agent appeared to plead guilty in its own response
At last, an "appeared to". These tools are all appearance and no substance.
Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”
Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.
And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.
-
This Guardian article https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database suffers from the same trap of anthropomorphism as the original I read: https://oldbytes.space/@fluidlogic/116482496017786464
agent gone rogue
These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.
The culprit was Cursor, an AI agent
The culprit was the idiot who wired the agent into their production system.
[Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.
Jeremy Crane caused his own business to unravel.
The agent appeared to plead guilty in its own response
At last, an "appeared to". These tools are all appearance and no substance.
Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”
Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.
And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.
-
This Guardian article https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database suffers from the same trap of anthropomorphism as the original I read: https://oldbytes.space/@fluidlogic/116482496017786464
agent gone rogue
These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.
The culprit was Cursor, an AI agent
The culprit was the idiot who wired the agent into their production system.
[Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.
Jeremy Crane caused his own business to unravel.
The agent appeared to plead guilty in its own response
At last, an "appeared to". These tools are all appearance and no substance.
Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”
Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.
And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.
-
This song is released under the GPL-2.0 license as part of the game. Links:
https://github.com/wesnoth/wesnoth/tree/master/data/core/music
https://wiki.wesnoth.org/Available_Music
Title:
Vengeful PursuitAuthor:
Jeremy Nicollofficial filename:
vengeful.oggtime to upload: 26 seconds
If you like this song maybe you want to follow @wesnoth
#wesnoth #WesnothMusic #GameMusic #music #soundtrack #WesnothSoundtrack #FediMusic #JeremyNicoll #VengefulPursuit #WesnothVengefulPursuit
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This song is released under the GPL-2.0 license as part of the game. Links:
https://github.com/wesnoth/wesnoth/tree/master/data/core/music
https://wiki.wesnoth.org/Available_Music
Title:
Vengeful PursuitAuthor:
Jeremy Nicollofficial filename:
vengeful.oggtime to upload: 26 seconds
If you like this song maybe you want to follow @wesnoth
#wesnoth #WesnothMusic #GameMusic #music #soundtrack #WesnothSoundtrack #FediMusic #JeremyNicoll #VengefulPursuit #WesnothVengefulPursuit
-
This song is released under the GPL-2.0 license as part of the game. Links:
https://github.com/wesnoth/wesnoth/tree/master/data/core/music
https://wiki.wesnoth.org/Available_Music
Title:
Vengeful PursuitAuthor:
Jeremy Nicollofficial filename:
vengeful.oggtime to upload: 26 seconds
If you like this song maybe you want to follow @wesnoth
#wesnoth #WesnothMusic #GameMusic #music #soundtrack #WesnothSoundtrack #FediMusic #JeremyNicoll #VengefulPursuit #WesnothVengefulPursuit
-
This song is released under the GPL-2.0 license as part of the Battle for Wesnoth game and the music is located at
https://github.com/wesnoth/wesnoth/tree/master/data/core/music
Also described at:
https://wiki.wesnoth.org/Available_Music
Title:
Nunc DimittisAuthor:
Jeremy Nicollofficial filename:
nunc_dimittis.oggTime to upload: 26 seconds
If you like this song maybe you want to follow @wesnoth
#wesnoth #WesnothMusic #GameMusic #music #soundtrack #WesnothSoundtrack #FediMusic #JeremyNicoll #NuncDimittis
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This post is in response to a thread posted on blue sky* by Jeremy Bassis and a discussion between Felicity mcCormack and Gavin Schmidt. All these people are well-respected climate scientists and the original thread was posted as a result of a Nature piece about operationalising climate models (and sea level rise), like we forecast the weather. This is something I’ve been thinking about for a while too, as sea level rise is an undeniable existential threat to my home country…
Anyway, I replied with a link to the Danish Climate Atlas – which to my mind is very much a model for how climate information should be done. I can’t give a full overview of the Climate Atlas, largely because it’s not my story to tell, but as Jeremy asked me to talk more in depth about it, and given the 300 character limit, I thought I’d formulate a few thoughts here first before sharing…
The climate atlas is not a book but a web frontpage that allows anyone with an internet connection to get high quality climate information at a local scale in Denmark. The map interface makes it easy and intuitive to use, and for detail a whole bunch of reports and datasets in different formats can be downloaded (everything from ASCII to GIS to netcdf). You can explore it here. All the data is given on a kommune (local authority) level except for sea level rise data which is divided up by coastal stretches.
Example of a Climate atlas figure – this is the overview figure, each local authority area is clickable for local informationFor audiences that just want a quick message there are these easy to interpret icons with a key message below, like this one about higher water levels.
I was involved in the early stages and to my mind there are 4 crucial elements that have made it very successful:
- Legal Requirement: Every local authority (a kommune, don’t think hippies, think regional councils) in Denmark has a legal obligation to make climate adaptation plans and to keep them updated. This element is important as it created awareness of the problem and effects of climate change and the necessity of investigating adaptation options. The initial plans were rather patchy and not very consistent with each other. Many regions had employed a consultant who was also maybe not an expert. Several kommune ended up with data based on CMIP resolution data! Hardly appropriate for a small local region in Denmark (which is barely resolved in most global climate models).
- Data Foundation: At the same time we have been dynamically downscaling these simulations for decades, to provide really high quality locally bias corrected data (using also DMI’s long climatological time series to understand if and where biases exist). Colleagues at DMI identified a need to provide this in an easy to use format to everyone in the country. We had long ago discovered that working with motivated kommune employees led to a really good outcome: readable climate variables that are meaningful to an individual city, data formats that can be used by non-scienists (who definitely can’t deal with netCDFs).
- Funding: Doing a data project properly requires money. The Climate Atlas is, compared to the cost of not doing anything, extremely cheap, nonetheless, it still costs something. Ear marked funding from the danish state to build up the Climate Atlas from the ground, to develop it as new needs are identified and to improve both communication and presentation has been crucial. Along the way several different needs have arisen (droughts, deep uncertainty in sea level rise), a new version will hopefully be coming soon.
- Intense engagement: Probably the most crucial aspect to getting the climate atlas off the ground and into use has been communication over and over and over again. Not just initially with kommune to find out what they need (building on many years of background experience first), but also reaching out to special interest groups raning from local farmers in mid-west Jylland to sewage engineers, high school teachers and property developers. This continues, but has undeniably been helped by Denmark’s open trusting society and generous tradition of cultural meetings, continuing education and festivals.
The climate atlas in Denmark is the example I know best, we should be rightly proud of the team that constructed, maintain and continue to develop it. Other countries certainly have similar products in the Nordic and Blatic countries, and likely elsewhere, a network meets annually within the region to discuss developments etc. After a coincidental meeting, DMI was also invited to help develop one for Ghana, which is ongoing, and of course, will have completely different needs and requirements, However, the decision early one to base the back end of the Climate Atlas on open tools: python, cdo, github and CORDEX simulations, makes a lot of the learnings transferable.
If you want to know more, contact my colleagues at the Klima Atlas! I’m happy to put you in touch..
*As an aside, it’s interesting how many of the climate science and policy community have moved over to Blue Sky. It was rather quiet for a while but activity seems to have picked up. I’m not abandoning mastodon, which I actually prefer, but I’m happy to see an alternative to what has become known as Birdchan. I’d urge you to try it if you’re interested in a social media presence in a slightly more appealing environment. There are a number of handy tools, including fedica, that allow you to crosspost to multiple channels at the same time (including X, mastodon, bsky, TikTok and threads) and I’m also using the OpenVibe app, which has a common timeline from multiple platforms.
https://sternaparadisaea.net/2024/09/06/a-climate-atlas-is-discovered/
#climate #climateAdaptation #climateChange #climateServices #DMI
-
This post is in response to a thread posted on blue sky* by Jeremy Bassis and a discussion between Felicity mcCormack and Gavin Schmidt. All these people are well-respected climate scientists and the original thread was posted as a result of a Nature piece about operationalising climate models (and sea level rise), like we forecast the weather. This is something I’ve been thinking about for a while too, as sea level rise is an undeniable existential threat to my home country…
Anyway, I replied with a link to the Danish Climate Atlas – which to my mind is very much a model for how climate information should be done. I can’t give a full overview of the Climate Atlas, largely because it’s not my story to tell, but as Jeremy asked me to talk more in depth about it, and given the 300 character limit, I thought I’d formulate a few thoughts here first before sharing…
The climate atlas is not a book but a web frontpage that allows anyone with an internet connection to get high quality climate information at a local scale in Denmark. The map interface makes it easy and intuitive to use, and for detail a whole bunch of reports and datasets in different formats can be downloaded (everything from ASCII to GIS to netcdf). You can explore it here. All the data is given on a kommune (local authority) level except for sea level rise data which is divided up by coastal stretches.
Example of a Climate atlas figure – this is the overview figure, each local authority area is clickable for local informationFor audiences that just want a quick message there are these easy to interpret icons with a key message below, like this one about higher water levels.
I was involved in the early stages and to my mind there are 4 crucial elements that have made it very successful:
- Legal Requirement: Every local authority (a kommune, don’t think hippies, think regional councils) in Denmark has a legal obligation to make climate adaptation plans and to keep them updated. This element is important as it created awareness of the problem and effects of climate change and the necessity of investigating adaptation options. The initial plans were rather patchy and not very consistent with each other. Many regions had employed a consultant who was also maybe not an expert. Several kommune ended up with data based on CMIP resolution data! Hardly appropriate for a small local region in Denmark (which is barely resolved in most global climate models).
- Data Foundation: At the same time we have been dynamically downscaling these simulations for decades, to provide really high quality locally bias corrected data (using also DMI’s long climatological time series to understand if and where biases exist). Colleagues at DMI identified a need to provide this in an easy to use format to everyone in the country. We had long ago discovered that working with motivated kommune employees led to a really good outcome: readable climate variables that are meaningful to an individual city, data formats that can be used by non-scienists (who definitely can’t deal with netCDFs).
- Funding: Doing a data project properly requires money. The Climate Atlas is, compared to the cost of not doing anything, extremely cheap, nonetheless, it still costs something. Ear marked funding from the danish state to build up the Climate Atlas from the ground, to develop it as new needs are identified and to improve both communication and presentation has been crucial. Along the way several different needs have arisen (droughts, deep uncertainty in sea level rise), a new version will hopefully be coming soon.
- Intense engagement: Probably the most crucial aspect to getting the climate atlas off the ground and into use has been communication over and over and over again. Not just initially with kommune to find out what they need (building on many years of background experience first), but also reaching out to special interest groups raning from local farmers in mid-west Jylland to sewage engineers, high school teachers and property developers. This continues, but has undeniably been helped by Denmark’s open trusting society and generous tradition of cultural meetings, continuing education and festivals.
The climate atlas in Denmark is the example I know best, we should be rightly proud of the team that constructed, maintain and continue to develop it. Other countries certainly have similar products in the Nordic and Blatic countries, and likely elsewhere, a network meets annually within the region to discuss developments etc. After a coincidental meeting, DMI was also invited to help develop one for Ghana, which is ongoing, and of course, will have completely different needs and requirements, However, the decision early one to base the back end of the Climate Atlas on open tools: python, cdo, github and CORDEX simulations, makes a lot of the learnings transferable.
If you want to know more, contact my colleagues at the Klima Atlas! I’m happy to put you in touch..
*As an aside, it’s interesting how many of the climate science and policy community have moved over to Blue Sky. It was rather quiet for a while but activity seems to have picked up. I’m not abandoning mastodon, which I actually prefer, but I’m happy to see an alternative to what has become known as Birdchan. I’d urge you to try it if you’re interested in a social media presence in a slightly more appealing environment. There are a number of handy tools, including fedica, that allow you to crosspost to multiple channels at the same time (including X, mastodon, bsky, TikTok and threads) and I’m also using the OpenVibe app, which has a common timeline from multiple platforms.
https://sternaparadisaea.net/2024/09/06/a-climate-atlas-is-discovered/
#climate #climateAdaptation #climateChange #climateServices #DMI
-
This post is in response to a thread posted on blue sky* by Jeremy Bassis and a discussion between Felicity mcCormack and Gavin Schmidt. All these people are well-respected climate scientists and the original thread was posted as a result of a Nature piece about operationalising climate models (and sea level rise), like we forecast the weather. This is something I’ve been thinking about for a while too, as sea level rise is an undeniable existential threat to my home country…
Anyway, I replied with a link to the Danish Climate Atlas – which to my mind is very much a model for how climate information should be done. I can’t give a full overview of the Climate Atlas, largely because it’s not my story to tell, but as Jeremy asked me to talk more in depth about it, and given the 300 character limit, I thought I’d formulate a few thoughts here first before sharing…
The climate atlas is not a book but a web frontpage that allows anyone with an internet connection to get high quality climate information at a local scale in Denmark. The map interface makes it easy and intuitive to use, and for detail a whole bunch of reports and datasets in different formats can be downloaded (everything from ASCII to GIS to netcdf). You can explore it here. All the data is given on a kommune (local authority) level except for sea level rise data which is divided up by coastal stretches.
Example of a Climate atlas figure – this is the overview figure, each local authority area is clickable for local informationFor audiences that just want a quick message there are these easy to interpret icons with a key message below, like this one about higher water levels.
I was involved in the early stages and to my mind there are 4 crucial elements that have made it very successful:
- Legal Requirement: Every local authority (a kommune, don’t think hippies, think regional councils) in Denmark has a legal obligation to make climate adaptation plans and to keep them updated. This element is important as it created awareness of the problem and effects of climate change and the necessity of investigating adaptation options. The initial plans were rather patchy and not very consistent with each other. Many regions had employed a consultant who was also maybe not an expert. Several kommune ended up with data based on CMIP resolution data! Hardly appropriate for a small local region in Denmark (which is barely resolved in most global climate models).
- Data Foundation: At the same time we have been dynamically downscaling these simulations for decades, to provide really high quality locally bias corrected data (using also DMI’s long climatological time series to understand if and where biases exist). Colleagues at DMI identified a need to provide this in an easy to use format to everyone in the country. We had long ago discovered that working with motivated kommune employees led to a really good outcome: readable climate variables that are meaningful to an individual city, data formats that can be used by non-scienists (who definitely can’t deal with netCDFs).
- Funding: Doing a data project properly requires money. The Climate Atlas is, compared to the cost of not doing anything, extremely cheap, nonetheless, it still costs something. Ear marked funding from the danish state to build up the Climate Atlas from the ground, to develop it as new needs are identified and to improve both communication and presentation has been crucial. Along the way several different needs have arisen (droughts, deep uncertainty in sea level rise), a new version will hopefully be coming soon.
- Intense engagement: Probably the most crucial aspect to getting the climate atlas off the ground and into use has been communication over and over and over again. Not just initially with kommune to find out what they need (building on many years of background experience first), but also reaching out to special interest groups raning from local farmers in mid-west Jylland to sewage engineers, high school teachers and property developers. This continues, but has undeniably been helped by Denmark’s open trusting society and generous tradition of cultural meetings, continuing education and festivals.
The climate atlas in Denmark is the example I know best, we should be rightly proud of the team that constructed, maintain and continue to develop it. Other countries certainly have similar products in the Nordic and Blatic countries, and likely elsewhere, a network meets annually within the region to discuss developments etc. After a coincidental meeting, DMI was also invited to help develop one for Ghana, which is ongoing, and of course, will have completely different needs and requirements, However, the decision early one to base the back end of the Climate Atlas on open tools: python, cdo, github and CORDEX simulations, makes a lot of the learnings transferable.
If you want to know more, contact my colleagues at the Klima Atlas! I’m happy to put you in touch..
*As an aside, it’s interesting how many of the climate science and policy community have moved over to Blue Sky. It was rather quiet for a while but activity seems to have picked up. I’m not abandoning mastodon, which I actually prefer, but I’m happy to see an alternative to what has become known as Birdchan. I’d urge you to try it if you’re interested in a social media presence in a slightly more appealing environment. There are a number of handy tools, including fedica, that allow you to crosspost to multiple channels at the same time (including X, mastodon, bsky, TikTok and threads) and I’m also using the OpenVibe app, which has a common timeline from multiple platforms.
https://sternaparadisaea.net/2024/09/06/a-climate-atlas-is-discovered/
#climate #climateAdaptation #climateChange #climateServices #DMI
-
This post is in response to a thread posted on blue sky* by Jeremy Bassis and a discussion between Felicity mcCormack and Gavin Schmidt. All these people are well-respected climate scientists and the original thread was posted as a result of a Nature piece about operationalising climate models (and sea level rise), like we forecast the weather. This is something I’ve been thinking about for a while too, as sea level rise is an undeniable existential threat to my home country…
Anyway, I replied with a link to the Danish Climate Atlas – which to my mind is very much a model for how climate information should be done. I can’t give a full overview of the Climate Atlas, largely because it’s not my story to tell, but as Jeremy asked me to talk more in depth about it, and given the 300 character limit, I thought I’d formulate a few thoughts here first before sharing…
The climate atlas is not a book but a web frontpage that allows anyone with an internet connection to get high quality climate information at a local scale in Denmark. The map interface makes it easy and intuitive to use, and for detail a whole bunch of reports and datasets in different formats can be downloaded (everything from ASCII to GIS to netcdf). You can explore it here. All the data is given on a kommune (local authority) level except for sea level rise data which is divided up by coastal stretches.
Example of a Climate atlas figure – this is the overview figure, each local authority area is clickable for local informationFor audiences that just want a quick message there are these easy to interpret icons with a key message below, like this one about higher water levels.
I was involved in the early stages and to my mind there are 4 crucial elements that have made it very successful:
- Legal Requirement: Every local authority (a kommune, don’t think hippies, think regional councils) in Denmark has a legal obligation to make climate adaptation plans and to keep them updated. This element is important as it created awareness of the problem and effects of climate change and the necessity of investigating adaptation options. The initial plans were rather patchy and not very consistent with each other. Many regions had employed a consultant who was also maybe not an expert. Several kommune ended up with data based on CMIP resolution data! Hardly appropriate for a small local region in Denmark (which is barely resolved in most global climate models).
- Data Foundation: At the same time we have been dynamically downscaling these simulations for decades, to provide really high quality locally bias corrected data (using also DMI’s long climatological time series to understand if and where biases exist). Colleagues at DMI identified a need to provide this in an easy to use format to everyone in the country. We had long ago discovered that working with motivated kommune employees led to a really good outcome: readable climate variables that are meaningful to an individual city, data formats that can be used by non-scienists (who definitely can’t deal with netCDFs).
- Funding: Doing a data project properly requires money. The Climate Atlas is, compared to the cost of not doing anything, extremely cheap, nonetheless, it still costs something. Ear marked funding from the danish state to build up the Climate Atlas from the ground, to develop it as new needs are identified and to improve both communication and presentation has been crucial. Along the way several different needs have arisen (droughts, deep uncertainty in sea level rise), a new version will hopefully be coming soon.
- Intense engagement: Probably the most crucial aspect to getting the climate atlas off the ground and into use has been communication over and over and over again. Not just initially with kommune to find out what they need (building on many years of background experience first), but also reaching out to special interest groups raning from local farmers in mid-west Jylland to sewage engineers, high school teachers and property developers. This continues, but has undeniably been helped by Denmark’s open trusting society and generous tradition of cultural meetings, continuing education and festivals.
The climate atlas in Denmark is the example I know best, we should be rightly proud of the team that constructed, maintain and continue to develop it. Other countries certainly have similar products in the Nordic and Blatic countries, and likely elsewhere, a network meets annually within the region to discuss developments etc. After a coincidental meeting, DMI was also invited to help develop one for Ghana, which is ongoing, and of course, will have completely different needs and requirements, However, the decision early one to base the back end of the Climate Atlas on open tools: python, cdo, github and CORDEX simulations, makes a lot of the learnings transferable.
If you want to know more, contact my colleagues at the Klima Atlas! I’m happy to put you in touch..
*As an aside, it’s interesting how many of the climate science and policy community have moved over to Blue Sky. It was rather quiet for a while but activity seems to have picked up. I’m not abandoning mastodon, which I actually prefer, but I’m happy to see an alternative to what has become known as Birdchan. I’d urge you to try it if you’re interested in a social media presence in a slightly more appealing environment. There are a number of handy tools, including fedica, that allow you to crosspost to multiple channels at the same time (including X, mastodon, bsky, TikTok and threads) and I’m also using the OpenVibe app, which has a common timeline from multiple platforms.
https://sternaparadisaea.net/2024/09/06/a-climate-atlas-is-discovered/
#climate #climateAdaptation #climateChange #climateServices #DMI
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Before lunch talks in the Groovy track at CommunityOverCode2023:
11:20am Whiskey Clustering with Apache Groovy and Apache Ignite (Paul King)
12:10pm Scalable Distributed Computing with Groovy Using Apache Ignite (Jeremy Meyer)
#groovylang #coc2023 #apacheignite #DataScience -
Before lunch talks in the Groovy track at CommunityOverCode2023:
11:20am Whiskey Clustering with Apache Groovy and Apache Ignite (Paul King)
12:10pm Scalable Distributed Computing with Groovy Using Apache Ignite (Jeremy Meyer)
#groovylang #coc2023 #apacheignite #DataScience -
Before lunch talks in the Groovy track at CommunityOverCode2023:
11:20am Whiskey Clustering with Apache Groovy and Apache Ignite (Paul King)
12:10pm Scalable Distributed Computing with Groovy Using Apache Ignite (Jeremy Meyer)
#groovylang #coc2023 #apacheignite #DataScience -
Before lunch talks in the Groovy track at CommunityOverCode2023:
11:20am Whiskey Clustering with Apache Groovy and Apache Ignite (Paul King)
12:10pm Scalable Distributed Computing with Groovy Using Apache Ignite (Jeremy Meyer)
#groovylang #coc2023 #apacheignite #DataScience -
🔬 Maximum intensity projections of whole-mount mouse retina preparation imaged with a THUNDER Imager 3D Cell Culture: A) unprocessed #widefield raw data and B) the results of LVCC. Insets show a magnified view of individual endothelial cells (yellow, anti-CD31 antibody), blood vessels and microglia (magenta, IsoB4), and astrocytes (cyan, anti-GFAP antibody).
🖼️ Dr. Jiyeon Lee and Dr. Jeremy Burton, Roche Genentech, South SFO, CA, USA.
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@LanceTurner Yikes!
Yeah, AI agents and chatbots are cheaper than human staff.
Until it *DELETES YOUR PRODUCTION DATABASE*
"It only took nine seconds for an AI coding agent gone rogue to delete a company’s entire production database and its backups, according to its founder. PocketOS, which sells software that car rental businesses rely on, descended into chaos after its databases were wiped, the company’s founder Jeremy Crane said.
"The culprit was Cursor, an AI agent powered by Anthropic’s Claude Opus 4.6 model, which is one of the AI industry’s flagship models. As more industries embrace AI in an attempt to automate tasks and even replace workers, the chaos at PocketOS is a reminder of what could go wrong.
"Crane said customers of PocketOS’s car rental clients were left in a lurch when they arrived to pick up vehicles from businesses that no longer had access to software that managed reservations and vehicle assignments.
...
"The AI coding agent’s destructive escapade left PocketOS’ clients stranded. These businesses use the company’s software to manage reservations, payments, vehicle assignments and customer profiles.
...
"Crane says his company was able to restore data from a three-month-old backup they maintained offsite, but it took more than two days. PocketOS is also using information from Stripe, its calendars and emails to rebuild."
https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database
#infosec #cybersecurity #cyber #IT #infosec #CTO #CISO #DevOps #Claude #Anthropic #LLM #LargeLanguageModel #ChatGPT #OpenAI #AI