#scenarios — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #scenarios, aggregated by home.social.
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How To Expand Images Scenarios Using ChatGPT? 🤖🖼 https://www.youtube.com/watch?v=MflKTCAy_bg 🎨 #Expand #Images #Scenarios #ChatGPT #AI
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How To Expand Images Scenarios Using ChatGPT? 🤖🖼 https://www.youtube.com/watch?v=MflKTCAy_bg 🎨 #Expand #Images #Scenarios #ChatGPT #AI
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How To Expand Images Scenarios Using ChatGPT? 🤖🖼 https://www.youtube.com/watch?v=MflKTCAy_bg 🎨 #Expand #Images #Scenarios #ChatGPT #AI
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How To Expand Images Scenarios Using ChatGPT? 🤖🖼 https://www.youtube.com/watch?v=MflKTCAy_bg 🎨 #Expand #Images #Scenarios #ChatGPT #AI
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As President Lee Jae Myung launched a personnel reshuffle by replacing the economic head coach in hi..
사진 확대 As President Lee Jae Myung launched a personnel reshuffle by replacing the economic head coach in…
#EuropeSays #Korea #KR #SouthKorea #balancedregionaldevelopment #economicrevitalization #housingstability #LeeJaeMyung #people #RegularNationalAssembly #scenarios
https://www.europesays.com/korea/136861/ -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
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https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
--
https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
--
https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
--
https://deepmind.google/science/weatherlab/ <-- shared data
--
https://github.com/google-deepmind/weathernext <-- shared GitHub repository
--
H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext -
#MissKittyArt says it's like having a #doll set when you're making #characters and #scenarios for those characters to be for my episode covers. Like a virtual #dollhouse. LOL
#MissKitty has talked about how she thinks it's all made up anyway. Out of that sticky #Maya stuff. LOL 🧘🏻♀️🧘🏻♀️🧘🏻♀️ -
If you're looking for some #Satuday night entertainment, perhaps this Carbon Neutral Strike update with a couple solarpunk stories tossed in can let you while away the evening!
https://shows.acast.com/solarpunk-presents/episodes/carbon-neutral-strike-update-28-august-1-to-7-2026-laura-sad#podcast #story #storytelling #solarpunk #eco #ecology #planet #imagination #climate #climatechange #ai #creativity #climatecrisis #noplanetb #sustainability #sustainable
#scenarios -
If you're looking for some #Satuday night entertainment, perhaps this Carbon Neutral Strike update with a couple solarpunk stories tossed in can let you while away the evening!
https://shows.acast.com/solarpunk-presents/episodes/carbon-neutral-strike-update-28-august-1-to-7-2026-laura-sad#podcast #story #storytelling #solarpunk #eco #ecology #planet #imagination #climate #climatechange #ai #creativity #climatecrisis #noplanetb #sustainability #sustainable
#scenarios -
If you're looking for some #Satuday night entertainment, perhaps this Carbon Neutral Strike update with a couple solarpunk stories tossed in can let you while away the evening!
https://shows.acast.com/solarpunk-presents/episodes/carbon-neutral-strike-update-28-august-1-to-7-2026-laura-sad#podcast #story #storytelling #solarpunk #eco #ecology #planet #imagination #climate #climatechange #ai #creativity #climatecrisis #noplanetb #sustainability #sustainable
#scenarios -
If you're looking for some #Satuday night entertainment, perhaps this Carbon Neutral Strike update with a couple solarpunk stories tossed in can let you while away the evening!
https://shows.acast.com/solarpunk-presents/episodes/carbon-neutral-strike-update-28-august-1-to-7-2026-laura-sad#podcast #story #storytelling #solarpunk #eco #ecology #planet #imagination #climate #climatechange #ai #creativity #climatecrisis #noplanetb #sustainability #sustainable
#scenarios -
If you're looking for some #Satuday night entertainment, perhaps this Carbon Neutral Strike update with a couple solarpunk stories tossed in can let you while away the evening!
https://shows.acast.com/solarpunk-presents/episodes/carbon-neutral-strike-update-28-august-1-to-7-2026-laura-sad#podcast #story #storytelling #solarpunk #eco #ecology #planet #imagination #climate #climatechange #ai #creativity #climatecrisis #noplanetb #sustainability #sustainable
#scenarios -
La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
www.lepoint.fr/monde/une-of...
« Une offensive massive » : ce... -
La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
www.lepoint.fr/monde/une-of...
« Une offensive massive » : ce... -
La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
www.lepoint.fr/monde/une-of...
« Une offensive massive » : ce... -
La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
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La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
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La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
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La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
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La #Maison-Blanche examine désormais des #scénarios de #frappes #massives contre la #république #islamique d' #Iran. Alors que #Washington continue de contester certaines informations sur le théâtre maritime, les #préparatifs #militaires, eux, s’accélèrent
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Marine Le Pen joue son avenir politique et présidentiel : quels scénarios pour le RN ?
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#Rennes #FR #France #Actu #News #Europe #EU #actu #Actualités #avenir #bretagne #europe #joue #marine #pen #politique #présidentiel #Républiquefrançaise #rn #scenarios
https://www.europesays.com/fr/1048327/ -
https://www.europesays.com/fr/1048327/ Marine Le Pen joue son avenir politique et présidentiel : quels scénarios pour le RN ? #actu #Actualités #avenir #bretagne #EU #europe #FR #France #joue #marine #News #pen #politique #présidentiel #Rennes #RépubliqueFrançaise #rn #scenarios
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Grand strategy game Terra Invicta is getting two new scenarios - a Fallout-style nuclear wasteland, and an early noughties world of UFO sceptics
https://atlas.whatip.xyz/post.php?slug=grand-strategy-game-terra-invicta-is-getting-two-new-scenarios-a-fallout-style-nuclear-wasteland-and-an-early-noughties-world-of-ufo-sceptics
<p>I had been feeling guilty about not completing my first bout of sci-fi grand strategy game Terra
#scenarios #strategy #invicta #getting -
https://www.europesays.com/iran/181700/ Iranian Lawmaker Warns; Gambling on US to Cost Persian Gulf States Security #‘will #a #American #and #bases #become #cost #destroy #Gambling #gulf #have #iranian #Islam #lawmaker #leader’s #Military #of #on #Persian #PersianGulf #PGCC #protection #Rather #s #saying #scenarios #security #senior #Source #stability #States’ #than #that #their #threat #Times #to #U #US #warned #warns
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Copyright implications of super-intelligence www.technollama.co.uk/copyright-impl… #AI #copyright #future #scenarios (interesting speculations)
Copyright implications of supe... -
Copyright implications of super-intelligence www.technollama.co.uk/copyright-impl… #AI #copyright #future #scenarios (interesting speculations)
Copyright implications of supe... -
Copyright implications of super-intelligence www.technollama.co.uk/copyright-impl… #AI #copyright #future #scenarios (interesting speculations)
Copyright implications of supe... -
Copyright implications of super-intelligence www.technollama.co.uk/copyright-impl… #AI #copyright #future #scenarios (interesting speculations)
Copyright implications of supe... -
"Most... models that inform international policy don’t consider this feedback loop at all. The IPCC treats melting as a fixed, rather than interactive input."
https://today.umd.edu/umd-led-study-points-to-hidden-accelerant-in-antarctic-ice-loss
#climatePolicy #feedback #IPCC #models #scenarios #modeling #modelling
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"Most... models that inform international policy don’t consider this feedback loop at all. The IPCC treats melting as a fixed, rather than interactive input."
https://today.umd.edu/umd-led-study-points-to-hidden-accelerant-in-antarctic-ice-loss
#climatePolicy #feedback #IPCC #models #scenarios #modeling #modelling
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"Most... models that inform international policy don’t consider this feedback loop at all. The IPCC treats melting as a fixed, rather than interactive input."
https://today.umd.edu/umd-led-study-points-to-hidden-accelerant-in-antarctic-ice-loss
#climatePolicy #feedback #IPCC #models #scenarios #modeling #modelling
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"Most... models that inform international policy don’t consider this feedback loop at all. The IPCC treats melting as a fixed, rather than interactive input."
https://today.umd.edu/umd-led-study-points-to-hidden-accelerant-in-antarctic-ice-loss
#climatePolicy #feedback #IPCC #models #scenarios #modeling #modelling
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"Most... models that inform international policy don’t consider this feedback loop at all. The IPCC treats melting as a fixed, rather than interactive input."
https://today.umd.edu/umd-led-study-points-to-hidden-accelerant-in-antarctic-ice-loss
#climatePolicy #feedback #IPCC #models #scenarios #modeling #modelling
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How could it all end up?
They talk a lot about death and that's another thing which you find with these people, that they love death and we love life and the Israelis and the Jews love life and they want to live. They don't want to die. But for these guys, death is good and when they die, they believe they go straight to paradise. So, they're not worried about that situation.
#endoftheage #Israel #Jesus #Messiah #salvation #scenarios #tribulation
https://lightforthelastdays.co.uk/articles/israel-and-the-middle-east/how-could-it-all-end-up/
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https://www.europesays.com/iran/111490/ IRGC Holds Major 5-Day Combat Exercise around Tehran #5 #a #against #around #combat #concluded #Corps #day #exercise #five #focused #Guard #has #holds #Iran #IRGC #Islam #Islamic #Israeli #Major #Military #on #readiness #revolutionary #scenarios #Tehran #the #threat #Times #Unit #US
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https://www.europesays.com/fr/925258/ Girondins : les scénarios de la montée en Ligue 3 à Avranches #Avranches #Bordeaux #derniere #face #FR #France #Girondins #joueront #journee #leur #Ligue #lors #montee #scenarios #Sports
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EU Warns Airlines, Member States to Prepare for All Scenarios As Jet Fuel Crisis Remains Uncertain
Islam Times – The European Commission warned Monday that airlines and member states should pr…
#Europe #EU #Airlines #all #and #as #Commission #Crisis #European #EuropeanUnion #for #Fuel #how #Islam #jet #last #long #member #monday #over #persists #prepare #remains #Scenarios #should #states #that #the #Times #to #Uncertain #uncertainty #warned #warns #will
https://www.europesays.com/europe/31671/ -
Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie www.lemonde.fr/culture/arti...
Oscars : les acteurs et les sc... -
Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie www.lemonde.fr/culture/arti...
Oscars : les acteurs et les sc... -
Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie www.lemonde.fr/culture/arti...
Oscars : les acteurs et les sc... -
Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie www.lemonde.fr/culture/arti...
Oscars : les acteurs et les sc... -
Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie www.lemonde.fr/culture/arti...
Oscars : les acteurs et les sc... -
Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie
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Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie
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Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie
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Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie
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Le Monde – #Oscars : les #acteurs et les #scénarios générés par #IA ne sont pas éligibles, annonce l’ #Académie
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“The present is pregnant with the future”*…
The estimable Tim O’Reilly uses scenario planning to create an insightful look at AI, our futures, and the choices that will define them…
We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In February, Jack Dorsey cut 40% of Block’s workforce, telling shareholders that “intelligence tools have changed what it means to build and run a company.” Block’s stock rose 20%. Salesforce has shed thousands of customer support workers, saying AI was already doing half the work. And a Stanford study found that software developers aged 22 to 25 saw employment drop nearly 20% from its peak, while developers over 26 were doing fine.
But how are we to square this news with a Vanguard study that found that the 100 occupations most exposed to AI were actually outperforming the rest of the labor market in both job growth and wages, and a rigorous NBER study of 25,000 Danish workers that found zero measurable effect of AI on earnings or hours?
Other studies could contribute to either side of the argument. For example, PwC’s 2025 Global AI Jobs Barometer, analyzing close to a billion job ads across six continents, found that workers with AI skills earn a 56% wage premium, and that productivity growth has nearly quadrupled in the industries most exposed to AI.
This is exactly the kind of contradictory, uncertain landscape that scenario planning was designed for. Scenario planning doesn’t ask you to predict what the future will be. It asks you to imagine divergent possible futures and to develop a strategy that improves your odds of success across all of them. I’ve used it many times at O’Reilly and have written about it before with COVID and climate change as illustrative examples. The argument between those who say AI will cause mass unemployment and those who insist technology always creates more jobs than it destroys is a debate that will only be resolved by time. Both sides have evidence. Both are probably right at some level. And both framings are not terribly helpful for anyone trying to figure out what to do next…
[O’Reilly explains the scenario approach, then applies it to our future with AI (see the image above), astutely assessing the conflicting signals that we’ve experiencing; he explores the “robust strategy” for our uncertian future (strategic choices that make sense regardless of which future unfolds); then he concludes…
… I’ll return to the theme that I sounded in my book WTF? What’s the Future and Why It’s Up To Us.
Every time a company uses AI to do what it was already doing with fewer people, it is making a choice for the lower half of the scenario grid. Every time a company uses AI to do something that wasn’t previously possible, to serve a customer who wasn’t previously served, to solve a problem that wasn’t previously solvable, it is making a choice for the upper half. These choices compound, for good or ill. An economy that uses AI primarily for efficiency will slowly hollow itself out.
Looking at the news from the future, both sets of signals are present. The question is which will dominate. AI will give us both the Augmentation Economy and the Displacement Crisis, in different measures in different places, depending on the choices we make.
Scenario planning teaches us that we don’t have to predict which future we’ll get. We do have to prepare for a very uncertain future. But the robust strategy, the one that works across every quadrant, is to focus on doing more, not just doing the same with less, and to find ways that human taste still matters in what is created. As long as there is unmet demand, as long as there are problems we haven’t solved and people we haven’t served, AI will augment human work rather than replacing it. It’s only when we stop looking for new things to do that the machines come for the jobs…
Eminently worth reading in full. Indeed, speaking as a long-time scenario planner, your correspondent can only wish that everyone who wields “scenarios” applies the approach as appropriately, adriotly, and acutely as Tim has: “Scenario Planning for AI and the ‘Jobless Future‘,” from @timoreilly.bsky.social.
* Voltaire
###
As we take the long view, we might send formative birthday greetings to Mark Pinsker; he was born on this date in 1923. A mathematician, he made impoprtant contributions to the fields of information theory, probability theory, coding theory, ergodic theory, mathematical statistics, and communication networks. This work, which helped lay the foundation for AI-as-we-know-it, earned him the IEEE Claude E. Shannon Award in 1978, and the IEEE Richard W. Hamming Medal in 1996, among other honors.
#AI #artificialIntelligence #business #culture #economics #employment #future #history #informationTheory #jobs #MarkPinsker #Mathematics #politics #scenarioPlanning #scenarios #Science #society #Technology #TimOReilly -
“The present is pregnant with the future”*…
The estimable Tim O’Reilly uses scenario planning to create an insightful look at AI, our futures, and the choices that will define them…
We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In February, Jack Dorsey cut 40% of Block’s workforce, telling shareholders that “intelligence tools have changed what it means to build and run a company.” Block’s stock rose 20%. Salesforce has shed thousands of customer support workers, saying AI was already doing half the work. And a Stanford study found that software developers aged 22 to 25 saw employment drop nearly 20% from its peak, while developers over 26 were doing fine.
But how are we to square this news with a Vanguard study that found that the 100 occupations most exposed to AI were actually outperforming the rest of the labor market in both job growth and wages, and a rigorous NBER study of 25,000 Danish workers that found zero measurable effect of AI on earnings or hours?
Other studies could contribute to either side of the argument. For example, PwC’s 2025 Global AI Jobs Barometer, analyzing close to a billion job ads across six continents, found that workers with AI skills earn a 56% wage premium, and that productivity growth has nearly quadrupled in the industries most exposed to AI.
This is exactly the kind of contradictory, uncertain landscape that scenario planning was designed for. Scenario planning doesn’t ask you to predict what the future will be. It asks you to imagine divergent possible futures and to develop a strategy that improves your odds of success across all of them. I’ve used it many times at O’Reilly and have written about it before with COVID and climate change as illustrative examples. The argument between those who say AI will cause mass unemployment and those who insist technology always creates more jobs than it destroys is a debate that will only be resolved by time. Both sides have evidence. Both are probably right at some level. And both framings are not terribly helpful for anyone trying to figure out what to do next…
[O’Reilly explains the scenario approach, then applies it to our future with AI (see the image above), astutely assessing the conflicting signals that we’ve experiencing; he explores the “robust strategy” for our uncertian future (strategic choices that make sense regardless of which future unfolds); then he concludes…
… I’ll return to the theme that I sounded in my book WTF? What’s the Future and Why It’s Up To Us.
Every time a company uses AI to do what it was already doing with fewer people, it is making a choice for the lower half of the scenario grid. Every time a company uses AI to do something that wasn’t previously possible, to serve a customer who wasn’t previously served, to solve a problem that wasn’t previously solvable, it is making a choice for the upper half. These choices compound, for good or ill. An economy that uses AI primarily for efficiency will slowly hollow itself out.
Looking at the news from the future, both sets of signals are present. The question is which will dominate. AI will give us both the Augmentation Economy and the Displacement Crisis, in different measures in different places, depending on the choices we make.
Scenario planning teaches us that we don’t have to predict which future we’ll get. We do have to prepare for a very uncertain future. But the robust strategy, the one that works across every quadrant, is to focus on doing more, not just doing the same with less, and to find ways that human taste still matters in what is created. As long as there is unmet demand, as long as there are problems we haven’t solved and people we haven’t served, AI will augment human work rather than replacing it. It’s only when we stop looking for new things to do that the machines come for the jobs…
Eminently worth reading in full. Indeed, speaking as a long-time scenario planner, your correspondent can only wish that everyone who wields “scenarios” applies the approach as appropriately, adriotly, and acutely as Tim has: “Scenario Planning for AI and the ‘Jobless Future‘,” from @timoreilly.bsky.social.
* Voltaire
###
As we take the long view, we might send formative birthday greetings to Mark Pinsker; he was born on this date in 1923. A mathematician, he made impoprtant contributions to the fields of information theory, probability theory, coding theory, ergodic theory, mathematical statistics, and communication networks. This work, which helped lay the foundation for AI-as-we-know-it, earned him the IEEE Claude E. Shannon Award in 1978, and the IEEE Richard W. Hamming Medal in 1996, among other honors.
#AI #artificialIntelligence #business #culture #economics #employment #future #history #informationTheory #jobs #MarkPinsker #Mathematics #politics #scenarioPlanning #scenarios #Science #society #Technology #TimOReilly -
“The present is pregnant with the future”*…
The estimable Tim O’Reilly uses scenario planning to create an insightful look at AI, our futures, and the choices that will define them…
We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In February, Jack Dorsey cut 40% of Block’s workforce, telling shareholders that “intelligence tools have changed what it means to build and run a company.” Block’s stock rose 20%. Salesforce has shed thousands of customer support workers, saying AI was already doing half the work. And a Stanford study found that software developers aged 22 to 25 saw employment drop nearly 20% from its peak, while developers over 26 were doing fine.
But how are we to square this news with a Vanguard study that found that the 100 occupations most exposed to AI were actually outperforming the rest of the labor market in both job growth and wages, and a rigorous NBER study of 25,000 Danish workers that found zero measurable effect of AI on earnings or hours?
Other studies could contribute to either side of the argument. For example, PwC’s 2025 Global AI Jobs Barometer, analyzing close to a billion job ads across six continents, found that workers with AI skills earn a 56% wage premium, and that productivity growth has nearly quadrupled in the industries most exposed to AI.
This is exactly the kind of contradictory, uncertain landscape that scenario planning was designed for. Scenario planning doesn’t ask you to predict what the future will be. It asks you to imagine divergent possible futures and to develop a strategy that improves your odds of success across all of them. I’ve used it many times at O’Reilly and have written about it before with COVID and climate change as illustrative examples. The argument between those who say AI will cause mass unemployment and those who insist technology always creates more jobs than it destroys is a debate that will only be resolved by time. Both sides have evidence. Both are probably right at some level. And both framings are not terribly helpful for anyone trying to figure out what to do next…
[O’Reilly explains the scenario approach, then applies it to our future with AI (see the image above), astutely assessing the conflicting signals that we’ve experiencing; he explores the “robust strategy” for our uncertian future (strategic choices that make sense regardless of which future unfolds); then he concludes…
… I’ll return to the theme that I sounded in my book WTF? What’s the Future and Why It’s Up To Us.
Every time a company uses AI to do what it was already doing with fewer people, it is making a choice for the lower half of the scenario grid. Every time a company uses AI to do something that wasn’t previously possible, to serve a customer who wasn’t previously served, to solve a problem that wasn’t previously solvable, it is making a choice for the upper half. These choices compound, for good or ill. An economy that uses AI primarily for efficiency will slowly hollow itself out.
Looking at the news from the future, both sets of signals are present. The question is which will dominate. AI will give us both the Augmentation Economy and the Displacement Crisis, in different measures in different places, depending on the choices we make.
Scenario planning teaches us that we don’t have to predict which future we’ll get. We do have to prepare for a very uncertain future. But the robust strategy, the one that works across every quadrant, is to focus on doing more, not just doing the same with less, and to find ways that human taste still matters in what is created. As long as there is unmet demand, as long as there are problems we haven’t solved and people we haven’t served, AI will augment human work rather than replacing it. It’s only when we stop looking for new things to do that the machines come for the jobs…
Eminently worth reading in full. Indeed, speaking as a long-time scenario planner, your correspondent can only wish that everyone who wields “scenarios” applies the approach as appropriately, adriotly, and acutely as Tim has: “Scenario Planning for AI and the ‘Jobless Future‘,” from @timoreilly.bsky.social.
* Voltaire
###
As we take the long view, we might send formative birthday greetings to Mark Pinsker; he was born on this date in 1923. A mathematician, he made impoprtant contributions to the fields of information theory, probability theory, coding theory, ergodic theory, mathematical statistics, and communication networks. This work, which helped lay the foundation for AI-as-we-know-it, earned him the IEEE Claude E. Shannon Award in 1978, and the IEEE Richard W. Hamming Medal in 1996, among other honors.
#AI #artificialIntelligence #business #culture #economics #employment #future #history #informationTheory #jobs #MarkPinsker #Mathematics #politics #scenarioPlanning #scenarios #Science #society #Technology #TimOReilly -
“The present is pregnant with the future”*…
The estimable Tim O’Reilly uses scenario planning to create an insightful look at AI, our futures, and the choices that will define them…
We all read it in the daily news. The New York Times reports that economists who once dismissed the AI job threat are now taking it seriously. In February, Jack Dorsey cut 40% of Block’s workforce, telling shareholders that “intelligence tools have changed what it means to build and run a company.” Block’s stock rose 20%. Salesforce has shed thousands of customer support workers, saying AI was already doing half the work. And a Stanford study found that software developers aged 22 to 25 saw employment drop nearly 20% from its peak, while developers over 26 were doing fine.
But how are we to square this news with a Vanguard study that found that the 100 occupations most exposed to AI were actually outperforming the rest of the labor market in both job growth and wages, and a rigorous NBER study of 25,000 Danish workers that found zero measurable effect of AI on earnings or hours?
Other studies could contribute to either side of the argument. For example, PwC’s 2025 Global AI Jobs Barometer, analyzing close to a billion job ads across six continents, found that workers with AI skills earn a 56% wage premium, and that productivity growth has nearly quadrupled in the industries most exposed to AI.
This is exactly the kind of contradictory, uncertain landscape that scenario planning was designed for. Scenario planning doesn’t ask you to predict what the future will be. It asks you to imagine divergent possible futures and to develop a strategy that improves your odds of success across all of them. I’ve used it many times at O’Reilly and have written about it before with COVID and climate change as illustrative examples. The argument between those who say AI will cause mass unemployment and those who insist technology always creates more jobs than it destroys is a debate that will only be resolved by time. Both sides have evidence. Both are probably right at some level. And both framings are not terribly helpful for anyone trying to figure out what to do next…
[O’Reilly explains the scenario approach, then applies it to our future with AI (see the image above), astutely assessing the conflicting signals that we’ve experiencing; he explores the “robust strategy” for our uncertian future (strategic choices that make sense regardless of which future unfolds); then he concludes…
… I’ll return to the theme that I sounded in my book WTF? What’s the Future and Why It’s Up To Us.
Every time a company uses AI to do what it was already doing with fewer people, it is making a choice for the lower half of the scenario grid. Every time a company uses AI to do something that wasn’t previously possible, to serve a customer who wasn’t previously served, to solve a problem that wasn’t previously solvable, it is making a choice for the upper half. These choices compound, for good or ill. An economy that uses AI primarily for efficiency will slowly hollow itself out.
Looking at the news from the future, both sets of signals are present. The question is which will dominate. AI will give us both the Augmentation Economy and the Displacement Crisis, in different measures in different places, depending on the choices we make.
Scenario planning teaches us that we don’t have to predict which future we’ll get. We do have to prepare for a very uncertain future. But the robust strategy, the one that works across every quadrant, is to focus on doing more, not just doing the same with less, and to find ways that human taste still matters in what is created. As long as there is unmet demand, as long as there are problems we haven’t solved and people we haven’t served, AI will augment human work rather than replacing it. It’s only when we stop looking for new things to do that the machines come for the jobs…
Eminently worth reading in full. Indeed, speaking as a long-time scenario planner, your correspondent can only wish that everyone who wields “scenarios” applies the approach as appropriately, adriotly, and acutely as Tim has: “Scenario Planning for AI and the ‘Jobless Future‘,” from @timoreilly.bsky.social.
* Voltaire
###
As we take the long view, we might send formative birthday greetings to Mark Pinsker; he was born on this date in 1923. A mathematician, he made impoprtant contributions to the fields of information theory, probability theory, coding theory, ergodic theory, mathematical statistics, and communication networks. This work, which helped lay the foundation for AI-as-we-know-it, earned him the IEEE Claude E. Shannon Award in 1978, and the IEEE Richard W. Hamming Medal in 1996, among other honors.
#AI #artificialIntelligence #business #culture #economics #employment #future #history #informationTheory #jobs #MarkPinsker #Mathematics #politics #scenarioPlanning #scenarios #Science #society #Technology #TimOReilly -
“The tools for forecasting under Knightian #uncertainty exist. #Scenarios are not a second-best substitute for a single forecast with a fan chart. When the economy is undergoing structural change, they are the intellectually honest format—able to represent what we can & cannot know about the future”
RE: https://bsky.app/profile/did:plc:5zca2ola2zxpkw37w4f3wxtu/post/3mittzoy3rs2v -
“The tools for forecasting under Knightian #uncertainty exist. #Scenarios are not a second-best substitute for a single forecast with a fan chart. When the economy is undergoing structural change, they are the intellectually honest format—able to represent what we can & cannot know about the future”
RE: https://bsky.app/profile/did:plc:5zca2ola2zxpkw37w4f3wxtu/post/3mittzoy3rs2v -
Experts weigh potential scenarios for oil if Strait of Hormuz closes
https://misryoum.com/us/markets/experts-weigh-potential-scenarios-for-oil-if-strait/
Tankers are seen at the Khor Fakkan Container Terminal, the only natural deep-sea port in the region and one of the major container ports in the Sharjah Emirate, along the Strait of Hormuz, a waterway through which one-fifth of global...
#Experts #weigh #potential #scenarios #for #oil #Strait #Hormuz #closes #US_News_Hub #misryoum_com
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XAU/USD: Price Dynamics Scenarios for February 26, 2026 | Technical Analysis
In the ever-changing forex market, staying informed is crucial for success. Here's the latest professional analysis from RobotFX. For the second day in a row, XAU/USD is trading in
https://www.robotfx.org/2026/02/xauusd-price-dynamics-scenarios-for.html
