#organisations — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #organisations, aggregated by home.social.
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https://www.europesays.com/ch-fr/289131/ Le Touring Club Suisse célèbre 130 ans d’engagement au service de l’aide et de la … #Business #CommuniquéDePresse #Économie #Economy #Jubilé #LesCommuniquésDePresse #Organisations #presse #Suisse #trafic
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L'homme d'affaires Boris #Titov, envoyé spécial de Vladimir #Poutine auprès des #organisations #internationales pour les objectifs de développement durable, avertit que l' #économie #russe pourrait devenir " #incontrôlable" si #Moscou persiste à se concentrer sur le #complexe #militaro-industriel.
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L'homme d'affaires Boris #Titov, envoyé spécial de Vladimir #Poutine auprès des #organisations #internationales pour les objectifs de développement durable, avertit que l' #économie #russe pourrait devenir " #incontrôlable" si #Moscou persiste à se concentrer sur le #complexe #militaro-industriel.
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ladepeche.fr: #Guerre en #Ukraine :
L'homme d'affaires Boris #Titov, envoyé spécial de Vladimir #Poutine auprès des #organisations #internationales pour les objectifs de développement durable, avertit que l' #économie #russe pourrait devenir " #incontrôlable" si #Moscou persiste à se concentrer sur le #complexe #militaro-industriel. -
ladepeche.fr: #Guerre en #Ukraine :
L'homme d'affaires Boris #Titov, envoyé spécial de Vladimir #Poutine auprès des #organisations #internationales pour les objectifs de développement durable, avertit que l' #économie #russe pourrait devenir " #incontrôlable" si #Moscou persiste à se concentrer sur le #complexe #militaro-industriel. -
ladepeche.fr: #Guerre en #Ukraine :
L'homme d'affaires Boris #Titov, envoyé spécial de Vladimir #Poutine auprès des #organisations #internationales pour les objectifs de développement durable, avertit que l' #économie #russe pourrait devenir " #incontrôlable" si #Moscou persiste à se concentrer sur le #complexe #militaro-industriel. -
ladepeche.fr: #Guerre en #Ukraine :
L'homme d'affaires Boris #Titov, envoyé spécial de Vladimir #Poutine auprès des #organisations #internationales pour les objectifs de développement durable, avertit que l' #économie #russe pourrait devenir " #incontrôlable" si #Moscou persiste à se concentrer sur le #complexe #militaro-industriel. -
ladepeche.fr: #Guerre en #Ukraine :
L'homme d'affaires Boris #Titov, envoyé spécial de Vladimir #Poutine auprès des #organisations #internationales pour les objectifs de développement durable, avertit que l' #économie #russe pourrait devenir " #incontrôlable" si #Moscou persiste à se concentrer sur le #complexe #militaro-industriel. -
https://www.europesays.com/africa/400557/ Windows On The Wild Launches New Kenya Itineraries | News #Kenya #Organisations&Operators #TravelNews
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Le label EureWelcome, un repère pour un accueil accessible
Le label EureWelcome distingue au Luxembourg les lieux, services et événements qui accueillent bien toutes les personnes, y compris celles en situation de handicap. Développé avec Info-Handicap, il couvre l'entrée, le déplacement et la compréhension des informations. Plus de 200 lieux le portent aujourd'hui, recensés dans un annuaire et une application dédiés. -
Golf: Callaway cut ties with Good Good, commit $1m to support prevention of violence against women after controversial ad
“We heard from individuals who shared per…
#NewsBeep #News #Golf #1m #ad #after #against #AU #Australia #backlash #callaway #campaign #COMMIT #Commitment #Company #controversial #cut #from #golffocused #good #Joint #made #media #milliondollar #of #organisations #prevent #Prevention #sports #support #ties #To #Violence #with #women #working
https://www.newsbeep.com/au/871174/ -
Golf: Callaway cut ties with Good Good, commit $1m to support prevention of violence against women after controversial ad
“We heard from individuals who shared per…
#NewsBeep #News #Golf #1m #ad #after #against #AU #Australia #backlash #callaway #campaign #COMMIT #Commitment #Company #controversial #cut #from #golffocused #good #Joint #made #media #milliondollar #of #organisations #prevent #Prevention #sports #support #ties #To #Violence #with #women #working
https://www.newsbeep.com/au/871174/ -
Golf: Callaway cut ties with Good Good, commit $1m to support prevention of violence against women after controversial ad https://www.fogolf.com/gear/7108/ #1m #ad #after #against #backlash #Callaway #campaign #commit #commitment #Company #controversial #cut #from #golf #golffocused #good #joint #made #Media #milliondollar #of #organisations #prevent #prevention #support #ties #to #violence #with #women #working
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Golf: Callaway cut ties with Good Good, commit $1m to support prevention of violence against women after controversial ad https://www.fogolf.com/gear/7108/ #1m #ad #after #against #backlash #Callaway #campaign #commit #commitment #Company #controversial #cut #from #golf #golffocused #good #joint #made #Media #milliondollar #of #organisations #prevent #prevention #support #ties #to #violence #with #women #working
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https://www.fogolf.com/1369330/golf-callaway-cut-ties-with-good-good-commit-1m-to-support-prevention-of-violence-against-women-after-controversial-ad/ Golf: Callaway cut ties with Good Good, commit $1m to support prevention of violence against women after controversial ad #1m #ad #After #Against #Backlash #callaway #campaign #COMMIT #Commitment #Company #controversial #Cut #from #Golf #GolfNews #golffocused #GOOD #Joint #made #media #milliondollar #of #organisations #Prevent #Prevention #Support #ties #to #violence #with #Women #WORKING
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https://www.fogolf.com/1369330/golf-callaway-cut-ties-with-good-good-commit-1m-to-support-prevention-of-violence-against-women-after-controversial-ad/ Golf: Callaway cut ties with Good Good, commit $1m to support prevention of violence against women after controversial ad #1m #ad #After #Against #Backlash #callaway #campaign #COMMIT #Commitment #Company #controversial #Cut #from #Golf #GolfNews #golffocused #GOOD #Joint #made #media #milliondollar #of #organisations #Prevent #Prevention #Support #ties #to #violence #with #Women #WORKING
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https://www.europesays.com/ch-fr/278659/ Les douleurs chroniques modifient les plis et les sillons du cortex cérébral #CommuniquéDePresse #Health #LesCommuniquésDePresse #Organisations #presse #Santé #Sciences #Suisse
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https://www.europesays.com/be-fr/228017/ Les douleurs chroniques modifient les plis et les sillons du cortex cérébral #BE #BEFr #Belgique #Belgium #CommuniquéDePresse #Health #LesCommuniquésDePresse #Organisations #presse #Santé #Sciences #Suisse
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https://www.europesays.com/africa/381770/ Rainbow Tours launches new Madagascar brochure | News #Madagascar #Organisations&Operators #TravelNews
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https://www.alojapan.com/1523163/walk-japan-launches-the-self-guided-salt-road-wayfarer-tour-news/ Walk Japan Launches the Self-Guided Salt Road Wayfarer Tour | News #JapanTravel #Organisations&Operators #travel #TravelNews Walk Japan has just launched its newest self-guided itinerary, the Self-Guided Salt Road Wayfarer – a six-day, five-night journey traversing the historic Salt Road, an ancient trading route that once connected the Sea of Japan with the castle town of Matsumoto. Designed for experienced walkers, with daily walks rang
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https://www.alojapan.com/1523163/walk-japan-launches-the-self-guided-salt-road-wayfarer-tour-news/ Walk Japan Launches the Self-Guided Salt Road Wayfarer Tour | News #JapanTravel #Organisations&Operators #travel #TravelNews Walk Japan has just launched its newest self-guided itinerary, the Self-Guided Salt Road Wayfarer – a six-day, five-night journey traversing the historic Salt Road, an ancient trading route that once connected the Sea of Japan with the castle town of Matsumoto. Designed for experienced walkers, with daily walks rang
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Don’t be a meat proxy for an LLM
I’m very glad someone has put a name to this behaviour. I sometimes do it on my blog because user-model interaction is often part of how I think, but I don’t think I ever do this in communication with others for precisely this reason:
Too often I ask a question in Slack or leave feedback under a merge/pull request or argue with friends in a WhatsApp group and get back:
Claude said: [giant response verbatim]
Please don’t do this. I mean, I’ve done this. But I’ve been on the receiving end too many times now. This is not adding value. I can talk to Claude myself. It’s going to be faster and I get to control the context. I don’t need a meat proxy in between.
Reading AI output is extra effort. It’s verbose, frequently contains all too plausible nonsense, and is increasingly jargon dense. I recently got this sentence from Claude:
NATS control-plane events: stream leader election / R3 quorum re-form during pod churn.
Jesus. I had to lookup almost every word to make sense of this.
By all means, prompt AI. But don’t just relay the output. Read it, understand it, validate it, and then write a response in your own words (a decent certificate that you’ve done the prior steps). Making that effort is value you can add.
https://gruhn.me/blog/2026-08-03/If I do ever slip into doing this, I think I’m going to stop now I’ve got a name for it.
#AI #communication #dialogue #LLMs #norms #organisations -
Don’t be a meat proxy for an LLM
I’m very glad someone has put a name to this behaviour. I sometimes do it on my blog because user-model interaction is often part of how I think, but I don’t think I ever do this in communication with others for precisely this reason:
Too often I ask a question in Slack or leave feedback under a merge/pull request or argue with friends in a WhatsApp group and get back:
Claude said: [giant response verbatim]
Please don’t do this. I mean, I’ve done this. But I’ve been on the receiving end too many times now. This is not adding value. I can talk to Claude myself. It’s going to be faster and I get to control the context. I don’t need a meat proxy in between.
Reading AI output is extra effort. It’s verbose, frequently contains all too plausible nonsense, and is increasingly jargon dense. I recently got this sentence from Claude:
NATS control-plane events: stream leader election / R3 quorum re-form during pod churn.
Jesus. I had to lookup almost every word to make sense of this.
By all means, prompt AI. But don’t just relay the output. Read it, understand it, validate it, and then write a response in your own words (a decent certificate that you’ve done the prior steps). Making that effort is value you can add.
https://gruhn.me/blog/2026-08-03/If I do ever slip into doing this, I think I’m going to stop now I’ve got a name for it.
#AI #communication #dialogue #LLMs #norms #organisations -
Don’t be a meat proxy for an LLM
I’m very glad someone has put a name to this behaviour. I sometimes do it on my blog because user-model interaction is often part of how I think, but I don’t think I ever do this in communication with others for precisely this reason:
Too often I ask a question in Slack or leave feedback under a merge/pull request or argue with friends in a WhatsApp group and get back:
Claude said: [giant response verbatim]
Please don’t do this. I mean, I’ve done this. But I’ve been on the receiving end too many times now. This is not adding value. I can talk to Claude myself. It’s going to be faster and I get to control the context. I don’t need a meat proxy in between.
Reading AI output is extra effort. It’s verbose, frequently contains all too plausible nonsense, and is increasingly jargon dense. I recently got this sentence from Claude:
NATS control-plane events: stream leader election / R3 quorum re-form during pod churn.
Jesus. I had to lookup almost every word to make sense of this.
By all means, prompt AI. But don’t just relay the output. Read it, understand it, validate it, and then write a response in your own words (a decent certificate that you’ve done the prior steps). Making that effort is value you can add.
https://gruhn.me/blog/2026-08-03/If I do ever slip into doing this, I think I’m going to stop now I’ve got a name for it.
#AI #communication #dialogue #LLMs #norms #organisations -
Don’t be a meat proxy for an LLM
I’m very glad someone has put a name to this behaviour. I sometimes do it on my blog because user-model interaction is often part of how I think, but I don’t think I ever do this in communication with others for precisely this reason:
Too often I ask a question in Slack or leave feedback under a merge/pull request or argue with friends in a WhatsApp group and get back:
Claude said: [giant response verbatim]
Please don’t do this. I mean, I’ve done this. But I’ve been on the receiving end too many times now. This is not adding value. I can talk to Claude myself. It’s going to be faster and I get to control the context. I don’t need a meat proxy in between.
Reading AI output is extra effort. It’s verbose, frequently contains all too plausible nonsense, and is increasingly jargon dense. I recently got this sentence from Claude:
NATS control-plane events: stream leader election / R3 quorum re-form during pod churn.
Jesus. I had to lookup almost every word to make sense of this.
By all means, prompt AI. But don’t just relay the output. Read it, understand it, validate it, and then write a response in your own words (a decent certificate that you’ve done the prior steps). Making that effort is value you can add.
https://gruhn.me/blog/2026-08-03/If I do ever slip into doing this, I think I’m going to stop now I’ve got a name for it.
#AI #communication #dialogue #LLMs #norms #organisations -
Don’t be a meat proxy for an LLM
I’m very glad someone has put a name to this behaviour. I sometimes do it on my blog because user-model interaction is often part of how I think, but I don’t think I ever do this in communication with others for precisely this reason:
Too often I ask a question in Slack or leave feedback under a merge/pull request or argue with friends in a WhatsApp group and get back:
Claude said: [giant response verbatim]
Please don’t do this. I mean, I’ve done this. But I’ve been on the receiving end too many times now. This is not adding value. I can talk to Claude myself. It’s going to be faster and I get to control the context. I don’t need a meat proxy in between.
Reading AI output is extra effort. It’s verbose, frequently contains all too plausible nonsense, and is increasingly jargon dense. I recently got this sentence from Claude:
NATS control-plane events: stream leader election / R3 quorum re-form during pod churn.
Jesus. I had to lookup almost every word to make sense of this.
By all means, prompt AI. But don’t just relay the output. Read it, understand it, validate it, and then write a response in your own words (a decent certificate that you’ve done the prior steps). Making that effort is value you can add.
https://gruhn.me/blog/2026-08-03/If I do ever slip into doing this, I think I’m going to stop now I’ve got a name for it.
#AI #communication #dialogue #LLMs #norms #organisations -
https://www.disabilitynewsservice.com/disabled-peoples-organisations-suggest-how-greater-government-support-could-produce-future-utopia/. I'm sorry to disagree with, & disappoint, these #disabled people's #organisations, @disabledvoices, but #Utopia is unattainable, & all #historical #attempts to create a Utopia have ended in either #farce or absolute #disaster. Furthermore, #AI isn't the key to UTOPIA, but a #Dystopia, & will land all of us in a Hellish #nightmare!
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https://www.disabilitynewsservice.com/disabled-peoples-organisations-suggest-how-greater-government-support-could-produce-future-utopia/. I'm sorry to disagree with, & disappoint, these #disabled people's #organisations, @disabledvoices, but #Utopia is unattainable, & all #historical #attempts to create a Utopia have ended in either #farce or absolute #disaster. Furthermore, #AI isn't the key to UTOPIA, but a #Dystopia, & will land all of us in a Hellish #nightmare!
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https://www.disabilitynewsservice.com/disabled-peoples-organisations-suggest-how-greater-government-support-could-produce-future-utopia/. I'm sorry to disagree with, & disappoint, these #disabled people's #organisations, @disabledvoices, but #Utopia is unattainable, & all #historical #attempts to create a Utopia have ended in either #farce or absolute #disaster. Furthermore, #AI isn't the key to UTOPIA, but a #Dystopia, & will land all of us in a Hellish #nightmare!
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https://www.disabilitynewsservice.com/disabled-peoples-organisations-suggest-how-greater-government-support-could-produce-future-utopia/. I'm sorry to disagree with, & disappoint, these #disabled people's #organisations, @disabledvoices, but #Utopia is unattainable, & all #historical #attempts to create a Utopia have ended in either #farce or absolute #disaster. Furthermore, #AI isn't the key to UTOPIA, but a #Dystopia, & will land all of us in a Hellish #nightmare!
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https://www.disabilitynewsservice.com/disabled-peoples-organisations-suggest-how-greater-government-support-could-produce-future-utopia/. I'm sorry to disagree with, & disappoint, these #disabled people's #organisations, @disabledvoices, but #Utopia is unattainable, & all #historical #attempts to create a Utopia have ended in either #farce or absolute #disaster. Furthermore, #AI isn't the key to UTOPIA, but a #Dystopia, & will land all of us in a Hellish #nightmare!
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Will models fine-tuned to particular domains start consistently outperforming frontier models? Encoding habitus into LLMs
This was really thought provoking from the FT’s AI Shift newsletter. I’m persuaded by Nick Srnicek’s argument that the push for AGI can be understood economically as a search for a product that won’t need to be fine-tuned. But if fine-tuned open weights models can outperform frontier models then this overturns the economics of the AI labs:
But a new case last month [email.newsletters.ft.com] took things a step further, when Ray Dalio’s investment firm Bridgewater Associates partnered with AI platform company Thinking Machines Lab (founded by former OpenAI CEO Mira Murati) to fine-tune a model based specifically on how its own investment managers do their work. As with the legal example, the results significantly outperformed frontier models, this time at a 14th of the cost. Crucially, however, use of the firm’s own proprietary records and its highly specialist staff’s knowhow may make these gains more durable.
Bridgewater had its own experts write bespoke prompts that framed questions in a way that guided the models to the correct answers. This produced solid gains, but they still topped out below 80 per cent accuracy.
A prompt only imparts the expertise a professional is able to put into words — what is much better is to learn from their actions. For the fine-tuning step they put together a set of tasks drawn from their own investors’ daily workflows, and crucially also had staff ensure that the ideal responses which would guide the model’s training did not just represent ‘correct answers’ but ‘exactly how our investment professionals would approach this’.
At the end of the process they had a bespoke model whose behaviour had been tuned towards Bridgewater’s own assessment of excellence, taking it up to 85 per cent accuracy — an almost 30 per cent reduction in errors compared to the frontier models — at a tiny fraction of the cost.f
There’s an obvious sociological question here: what happens if our investment professionals need to approach this in a different way? Human professionals can learn and adapt. They can do so in ways that change how they prompt if they’re using a frontier model. In contrast a model fine-tuned in this way will be locked into a particular set of dispositions that might be appropriate for a context at T1 but will cease to be appropriate at a later T2. Indeed introducing the models is liable to change the context, particularly if you use this as an excuse to lay off your staff! There’s an organisational problem here which is blindingly obvious to anyone who has thought in any depth about the fact that contexts change.
#automation #capitalism #FrontierModels #MiraMurati #openWeightsModels #organisations #ThinkingMachinesLab -
Will models fine-tuned to particular domains start consistently outperforming frontier models? Encoding habitus into LLMs
This was really thought provoking from the FT’s AI Shift newsletter. I’m persuaded by Nick Srnicek’s argument that the push for AGI can be understood economically as a search for a product that won’t need to be fine-tuned. But if fine-tuned open weights models can outperform frontier models then this overturns the economics of the AI labs:
But a new case last month [email.newsletters.ft.com] took things a step further, when Ray Dalio’s investment firm Bridgewater Associates partnered with AI platform company Thinking Machines Lab (founded by former OpenAI CEO Mira Murati) to fine-tune a model based specifically on how its own investment managers do their work. As with the legal example, the results significantly outperformed frontier models, this time at a 14th of the cost. Crucially, however, use of the firm’s own proprietary records and its highly specialist staff’s knowhow may make these gains more durable.
Bridgewater had its own experts write bespoke prompts that framed questions in a way that guided the models to the correct answers. This produced solid gains, but they still topped out below 80 per cent accuracy.
A prompt only imparts the expertise a professional is able to put into words — what is much better is to learn from their actions. For the fine-tuning step they put together a set of tasks drawn from their own investors’ daily workflows, and crucially also had staff ensure that the ideal responses which would guide the model’s training did not just represent ‘correct answers’ but ‘exactly how our investment professionals would approach this’.
At the end of the process they had a bespoke model whose behaviour had been tuned towards Bridgewater’s own assessment of excellence, taking it up to 85 per cent accuracy — an almost 30 per cent reduction in errors compared to the frontier models — at a tiny fraction of the cost.f
There’s an obvious sociological question here: what happens if our investment professionals need to approach this in a different way? Human professionals can learn and adapt. They can do so in ways that change how they prompt if they’re using a frontier model. In contrast a model fine-tuned in this way will be locked into a particular set of dispositions that might be appropriate for a context at T1 but will cease to be appropriate at a later T2. Indeed introducing the models is liable to change the context, particularly if you use this as an excuse to lay off your staff! There’s an organisational problem here which is blindingly obvious to anyone who has thought in any depth about the fact that contexts change.
#automation #capitalism #FrontierModels #MiraMurati #openWeightsModels #organisations #ThinkingMachinesLab -
Will models fine-tuned to particular domains start consistently outperforming frontier models? Encoding habitus into LLMs
This was really thought provoking from the FT’s AI Shift newsletter. I’m persuaded by Nick Srnicek’s argument that the push for AGI can be understood economically as a search for a product that won’t need to be fine-tuned. But if fine-tuned open weights models can outperform frontier models then this overturns the economics of the AI labs:
But a new case last month [email.newsletters.ft.com] took things a step further, when Ray Dalio’s investment firm Bridgewater Associates partnered with AI platform company Thinking Machines Lab (founded by former OpenAI CEO Mira Murati) to fine-tune a model based specifically on how its own investment managers do their work. As with the legal example, the results significantly outperformed frontier models, this time at a 14th of the cost. Crucially, however, use of the firm’s own proprietary records and its highly specialist staff’s knowhow may make these gains more durable.
Bridgewater had its own experts write bespoke prompts that framed questions in a way that guided the models to the correct answers. This produced solid gains, but they still topped out below 80 per cent accuracy.
A prompt only imparts the expertise a professional is able to put into words — what is much better is to learn from their actions. For the fine-tuning step they put together a set of tasks drawn from their own investors’ daily workflows, and crucially also had staff ensure that the ideal responses which would guide the model’s training did not just represent ‘correct answers’ but ‘exactly how our investment professionals would approach this’.
At the end of the process they had a bespoke model whose behaviour had been tuned towards Bridgewater’s own assessment of excellence, taking it up to 85 per cent accuracy — an almost 30 per cent reduction in errors compared to the frontier models — at a tiny fraction of the cost.f
There’s an obvious sociological question here: what happens if our investment professionals need to approach this in a different way? Human professionals can learn and adapt. They can do so in ways that change how they prompt if they’re using a frontier model. In contrast a model fine-tuned in this way will be locked into a particular set of dispositions that might be appropriate for a context at T1 but will cease to be appropriate at a later T2. Indeed introducing the models is liable to change the context, particularly if you use this as an excuse to lay off your staff! There’s an organisational problem here which is blindingly obvious to anyone who has thought in any depth about the fact that contexts change.
#automation #capitalism #FrontierModels #MiraMurati #openWeightsModels #organisations #ThinkingMachinesLab -
Will models fine-tuned to particular domains start consistently outperforming frontier models? Encoding habitus into LLMs
This was really thought provoking from the FT’s AI Shift newsletter. I’m persuaded by Nick Srnicek’s argument that the push for AGI can be understood economically as a search for a product that won’t need to be fine-tuned. But if fine-tuned open weights models can outperform frontier models then this overturns the economics of the AI labs:
But a new case last month [email.newsletters.ft.com] took things a step further, when Ray Dalio’s investment firm Bridgewater Associates partnered with AI platform company Thinking Machines Lab (founded by former OpenAI CEO Mira Murati) to fine-tune a model based specifically on how its own investment managers do their work. As with the legal example, the results significantly outperformed frontier models, this time at a 14th of the cost. Crucially, however, use of the firm’s own proprietary records and its highly specialist staff’s knowhow may make these gains more durable.
Bridgewater had its own experts write bespoke prompts that framed questions in a way that guided the models to the correct answers. This produced solid gains, but they still topped out below 80 per cent accuracy.
A prompt only imparts the expertise a professional is able to put into words — what is much better is to learn from their actions. For the fine-tuning step they put together a set of tasks drawn from their own investors’ daily workflows, and crucially also had staff ensure that the ideal responses which would guide the model’s training did not just represent ‘correct answers’ but ‘exactly how our investment professionals would approach this’.
At the end of the process they had a bespoke model whose behaviour had been tuned towards Bridgewater’s own assessment of excellence, taking it up to 85 per cent accuracy — an almost 30 per cent reduction in errors compared to the frontier models — at a tiny fraction of the cost.f
There’s an obvious sociological question here: what happens if our investment professionals need to approach this in a different way? Human professionals can learn and adapt. They can do so in ways that change how they prompt if they’re using a frontier model. In contrast a model fine-tuned in this way will be locked into a particular set of dispositions that might be appropriate for a context at T1 but will cease to be appropriate at a later T2. Indeed introducing the models is liable to change the context, particularly if you use this as an excuse to lay off your staff! There’s an organisational problem here which is blindingly obvious to anyone who has thought in any depth about the fact that contexts change.
#automation #capitalism #FrontierModels #MiraMurati #openWeightsModels #organisations #ThinkingMachinesLab -
https://www.europesays.com/ch-fr/245231/ Négociations salariales 2027 : retenir les talents exige d’offrir des perspectives. #CommuniquéDePresse #inflation #LesCommuniquésDePresse #MarchéDuTravail #Organisations #presse #Suisse #travailler
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https://www.europesays.com/people/174764/ Anthropic admits its most powerful AI model hacked into three organisations’ systems during testing phase #Anthropic #DarioAmodei #organisations #SamAltman #SecurityTesting
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https://www.europesays.com/africa/358244/ Auberge Safari expands its portfolio with the grand opening of Mwiba Plains | News #Organisations&Operators #Tanzania #TravelNews
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https://www.europesays.com/people/173955/ Anthropic admits its most powerful AI model hacked into three organisations’ systems during testing phase #Anthropic #DarioAmodei #organisations #SamAltman #SecurityTesting
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#LeFigaro: #Anthropic révèle que son #IA a accédé sans autorisation aux #systèmes #informatiques de trois #organisations
www.lefigaro.fr/secteur/high...
Anthropic révèle que son IA a ... -
#LeFigaro: #Anthropic révèle que son #IA a accédé sans autorisation aux #systèmes #informatiques de trois #organisations
www.lefigaro.fr/secteur/high...
Anthropic révèle que son IA a ... -
#LeFigaro: #Anthropic révèle que son #IA a accédé sans autorisation aux #systèmes #informatiques de trois #organisations
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#LeFigaro: #Anthropic révèle que son #IA a accédé sans autorisation aux #systèmes #informatiques de trois #organisations
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#LeFigaro: #Anthropic révèle que son #IA a accédé sans autorisation aux #systèmes #informatiques de trois #organisations
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#LeFigaro: #Anthropic révèle que son #IA a accédé sans autorisation aux #systèmes #informatiques de trois #organisations
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#LeFigaro: #Anthropic révèle que son #IA a accédé sans autorisation aux #systèmes #informatiques de trois #organisations
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https://www.europesays.com/people/172867/ Anthropic admits its most powerful AI model hacked into three organisations’ systems during testing phase #Anthropic #DarioAmodei #organisations #SamAltman #SecurityTesting
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https://www.fogolf.com/1339500/la-dolce-vita-orient-express-invites-golf-enthusiasts-to-discover-italy-news/ La Dolce Vita Orient Express invites golf enthusiasts to discover Italy | News #Golf #GolfNews #Organisations&OperatorsRail&Coach #TravelNews
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https://www.fogolf.com/1339500/la-dolce-vita-orient-express-invites-golf-enthusiasts-to-discover-italy-news/ La Dolce Vita Orient Express invites golf enthusiasts to discover Italy | News #Golf #GolfNews #Organisations&OperatorsRail&Coach #TravelNews
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https://www.europesays.com/ch-fr/238346/ Comment des éruptions volcaniques ont bouleversé l’équilibre du climat #CommuniquéDePresse #Environnement #LesCommuniquésDePresse #Organisations #presse #Sciences #Suisse
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La Dolce Vita Orient Express invites golf enthusiasts to discover Italy | News
There are few pleasures more quintessentially Italian than travelling slowly through extraordinary landscapes, discovering exceptional cuisine, and lingering…
#Italy #Europe #Europa #EU #Organisations&OperatorsRail&Coach #travelnews
https://www.europesays.com/italy/36535/ -
La Dolce Vita Orient Express invites golf enthusiasts to discover Italy | News
There are few pleasures more quintessentially Italian than travelling slowly through extraordinary landscapes, discovering exceptional cuisine, and lingering…
#Golf #News #Organisations&OperatorsRail&Coach #travelnews
https://www.europesays.com/golf/44293/ -
From Istanbul to Rome: A Grand Voyage by La Dolce Vita Orient Express | News
Embark on a five-day, four-night journey from Istanbul to Rome aboard La Dolce Vita Orient Express, where one…
#EuropeSays #Turkiye #Istanbul #Organisations&OperatorsRail&Coach #Travelnews
https://www.europesays.com/turkiye/32817/ -
https://www.europesays.com/ch-fr/225137/ Deux roues : s’habiller léger, c’est prendre un risque #Business #CommuniquéDePresse #Économie #Economy #LesCommuniquésDePresse #Organisations #Prévention #presse #Suisse #textile #trafic #Véhicules
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#LeGrandContinent: Offensive #MAGA contre l’ #Europe : les #États-Unis #US lancent un programme de #financement d’ #organisations #alignées
@Trump : ET TU OSES PARLER D' #INGÉRENCES #CHINOISES DANS VOS #ÉLECTIONS #US ???
Tais-toi un peu, non ?
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#LeGrandContinent: Offensive #MAGA contre l’ #Europe : les #États-Unis #US lancent un programme de #financement d’ #organisations #alignées
@Trump : ET TU OSES PARLER D' #INGÉRENCES #CHINOISES DANS VOS #ÉLECTIONS #US ???
Tais-toi un peu, non ?
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#LeGrandContinent: Offensive #MAGA contre l’ #Europe : les #États-Unis #US lancent un programme de #financement d’ #organisations #alignées
@Trump : ET TU OSES PARLER D' #INGÉRENCES #CHINOISES DANS VOS #ÉLECTIONS #US ???
Tais-toi un peu, non ?
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#LeGrandContinent: Offensive #MAGA contre l’ #Europe : les #États-Unis #US lancent un programme de #financement d’ #organisations #alignées
@Trump : ET TU OSES PARLER D' #INGÉRENCES #CHINOISES DANS VOS #ÉLECTIONS #US ???
Tais-toi un peu, non ?
-
#LeGrandContinent: Offensive #MAGA contre l’ #Europe : les #États-Unis #US lancent un programme de #financement d’ #organisations #alignées
@Trump : ET TU OSES PARLER D' #INGÉRENCES #CHINOISES DANS VOS #ÉLECTIONS #US ???
Tais-toi un peu, non ?
-
#LeGrandContinent: Offensive #MAGA contre l’ #Europe : les #États-Unis #US lancent un programme de #financement d’ #organisations #alignées
@Trump : ET TU OSES PARLER D' #INGÉRENCES #CHINOISES DANS VOS #ÉLECTIONS #US ???
Tais-toi un peu, non ?
legrandcontinent.eu/fr/2026/07/1...
Les États-Unis lancent un prog...