#organisations — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #organisations, aggregated by home.social.
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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.eu/fr/2026/07/1...
Les États-Unis lancent un prog... -
#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... -
#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 POUR VOS #ÉLECTIONS #US ???DANS
Tais-toi un peu, non ?
legrandcontinent.eu/fr/2026/07/1...
Les États-Unis lancent un prog... -
#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 POUR VOS #ÉLECTIONS #US ???DANS
Tais-toi un peu, non ?
legrandcontinent.eu/fr/2026/07/1...
Les États-Unis lancent un prog... -
#LeGrandContinent: Offensive #MAGA contre l’ #Europe : les #États-Unis #US lancent un programme de #financement d’ #organisations #alignées
@trump : ET VOUS ODEZ PARLER D'INGÉRENCES CHINOISES POUR VOS ÉLECTIONS ???
Tais-toi un peu, non ?
legrandcontinent.eu/fr/2026/07/1...
Les États-Unis lancent un prog... -
https://www.disabilitynewsservice.com/pip-review-disabled-peoples-organisations-raise-concerns-over-less-than-honest-and-diluted-report/. "Disabled people’s #organisations (DPOs) have raised grave #concerns about last week’s 'less than honest' #report from the #Timms #Review & have warned that it has 'diluted' #disabled people’s concerns about possible #cuts to their personal independence payment (PIP)."
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https://www.disabilitynewsservice.com/pip-review-disabled-peoples-organisations-raise-concerns-over-less-than-honest-and-diluted-report/. "Disabled people’s #organisations (DPOs) have raised grave #concerns about last week’s 'less than honest' #report from the #Timms #Review & have warned that it has 'diluted' #disabled people’s concerns about possible #cuts to their personal independence payment (PIP)."
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Will economic constraints on token use in organisations drive the emergence of norms?
I’ve been following the token maxxing discourse with interest. Essentially we’ve seen a tendency to equate quantity of tokens used with the extent of AI integration. It’s hard to measure integration so organisations have turned to the proxy of tokens, assuming that the more tokens you are using then the more you are integrating LLMs into your work. The problem with this is two fold:
- At present tokens are essentially being subsidised by investors in AI labs interested in maximising adoption of the products. The costs of token to the lab are either minimised for the end user or entirely removed from the equation with unmetered access.
- The assumption that more use = better is obviously untenable with even a rudimentary knowledge of the ethical and epistemological risks of language models. Further, more use of LLMs might be worse for the organisation because it hinders other forms of work which are essential to the organisation’s mission.
There is a significant shift underway which is going to change how LLMs are used within organisation, summarised here by 404 media:
The news highlights a major shift in the tech industry and other companies that use AI: the wave of uninhibited AI growth is over. Some AI providers like GitHub are now charging customers per token rather than a flat subscription fee, leading some companies to burn through their tokens. Uber recently capped employees’ use of AI tools like Claude Code and Cursor; that came after Uber told employees to use AI as much as possible and Uber’s CTO said the company had blown its entire AI budget in four months. And Accenture itself reportedly started requiring senior staff to start using AI or risk losing out on promotions.
I was wrong to believe that model development was flatlining. A week with Claude Fable, the continual development of Claude Opus and my begrudging appreciation of GPT 5.5 leave me persuaded we’ve come along way since GPT 5. However even if the models are getting more capable, to what extent are those capabilities becoming more expensive? I managed to burn through £100+ in five days playing with Claude Fable and I constantly have Opus switched to max now, even when I vaguely know it’s wasteful. There’s a whole style of use which has taken hold here which isn’t sustainable and is increasingly hitting a brick wall.
For individuals it raises the question of what you’re willing to pay for. I switch to Max plans when I have a special reason to do so but I never keep the subscription any more. I hit the rate limits with Claude so frequently that it’s left me thinking more carefully about what I do want to use models for and what I don’t want to use models for. The same process is inevitably going to take place in organisations I think in the sense of resource constraints necessitating evaluative criteria for desirable and undesirable use of the model. .
#AIIntegration #compute #economics #organisations #tokenMaxxing #tokens -
Will economic constraints on token use in organisations drive the emergence of norms?
I’ve been following the token maxxing discourse with interest. Essentially we’ve seen a tendency to equate quantity of tokens used with the extent of AI integration. It’s hard to measure integration so organisations have turned to the proxy of tokens, assuming that the more tokens you are using then the more you are integrating LLMs into your work. The problem with this is two fold:
- At present tokens are essentially being subsidised by investors in AI labs interested in maximising adoption of the products. The costs of token to the lab are either minimised for the end user or entirely removed from the equation with unmetered access.
- The assumption that more use = better is obviously untenable with even a rudimentary knowledge of the ethical and epistemological risks of language models. Further, more use of LLMs might be worse for the organisation because it hinders other forms of work which are essential to the organisation’s mission.
There is a significant shift underway which is going to change how LLMs are used within organisation, summarised here by 404 media:
The news highlights a major shift in the tech industry and other companies that use AI: the wave of uninhibited AI growth is over. Some AI providers like GitHub are now charging customers per token rather than a flat subscription fee, leading some companies to burn through their tokens. Uber recently capped employees’ use of AI tools like Claude Code and Cursor; that came after Uber told employees to use AI as much as possible and Uber’s CTO said the company had blown its entire AI budget in four months. And Accenture itself reportedly started requiring senior staff to start using AI or risk losing out on promotions.
I was wrong to believe that model development was flatlining. A week with Claude Fable, the continual development of Claude Opus and my begrudging appreciation of GPT 5.5 leave me persuaded we’ve come along way since GPT 5. However even if the models are getting more capable, to what extent are those capabilities becoming more expensive? I managed to burn through £100+ in five days playing with Claude Fable and I constantly have Opus switched to max now, even when I vaguely know it’s wasteful. There’s a whole style of use which has taken hold here which isn’t sustainable and is increasingly hitting a brick wall.
For individuals it raises the question of what you’re willing to pay for. I switch to Max plans when I have a special reason to do so but I never keep the subscription any more. I hit the rate limits with Claude so frequently that it’s left me thinking more carefully about what I do want to use models for and what I don’t want to use models for. The same process is inevitably going to take place in organisations I think in the sense of resource constraints necessitating evaluative criteria for desirable and undesirable use of the model.
In the meantime though I think it’s imperative that we stop universities from sliding into token maxxing with the use of enterprise systems because the entire price model for this is likely to change dramatically in the coming months. Given the wider economics of the industry, will any AI lab really retain per seat pricing for enterprise packages (i.e. paying by user rather than for tokens?) in the longer term? If not then the norms about use we establish now will have significant financial consequences further down the line.
#AIIntegration #compute #economics #organisations #tokenMaxxing #tokens -
https://www.alojapan.com/1503193/ffestiniog-travel-launches-rail-holidays-of-the-world-2027-brochure-news/ Ffestiniog Travel Launches Rail Holidays of the World 2027 Brochure | News #JapanTours #Organisations&OperatorsRail&Coach #tours #TravelNews Rail tour specialist Ffestiniog Travel has unveiled its new Rail Holidays of the World 2027 brochure, showcasing almost 40 escorted rail holidays across the UK, Europe and worldwide destinations. The latest programme continues the company’s long-standing commitment to providing expertly curated r
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https://www.theguardian.com/politics/2026/jun/22/starmer-strong-green-record-rightwing-backlash-weakened-plans. "Strong #green card" my ARSE, @guardian! I remember only too well what he called @JustStopOil #protesters, & what his wretched #Government has done about #planning #laws, weakening protections for #nature & the #Environment, ignoring objections from @greenpeace & other #organisations. Just ask @ZackPolanski what HE thinks about Starmer's "strong green card"!
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https://www.theguardian.com/politics/2026/jun/22/starmer-strong-green-record-rightwing-backlash-weakened-plans. "Strong #green card" my ARSE, @guardian! I remember only too well what he called @JustStopOil #protesters, & what his wretched #Government has done about #planning #laws, weakening protections for #nature & the #Environment, ignoring objections from @greenpeace & other #organisations. Just ask @ZackPolanski what HE thinks about Starmer's "strong green card"!
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Working with #OpenStreetMap?
State of the Map is where the global #community comes together every year ! In August 2026, the global OpenStreetMap community’s flagship #conference comes to #France.
We expect more than 500 participants from all around the world. For three days, we’ll get together for panels, #workshops, demos and plenty of #networking between #volunteers, professionals, #researchers, public sector #organisations… and maybe you?
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Working with #OpenStreetMap?
State of the Map is where the global #community comes together every year ! In August 2026, the global OpenStreetMap community’s flagship #conference comes to #France.
We expect more than 500 participants from all around the world. For three days, we’ll get together for panels, #workshops, demos and plenty of #networking between #volunteers, professionals, #researchers, public sector #organisations… and maybe you?
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https://www.disabilitynewsservice.com/minister-is-asked-why-he-expects-disabled-people-to-fund-their-own-pip-review-engagement-events/. "The #disability minister has been asked why he appears to have provided no #funding for a plan to increase #engagement among #disabled people & their #organisations with his #review of the #personal #independence #payment (PIP) system."
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https://www.disabilitynewsservice.com/minister-is-asked-why-he-expects-disabled-people-to-fund-their-own-pip-review-engagement-events/. "The #disability minister has been asked why he appears to have provided no #funding for a plan to increase #engagement among #disabled people & their #organisations with his #review of the #personal #independence #payment (PIP) system."
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https://www.theguardian.com/world/2026/may/29/brazil-gangs-terrorist-rubio. #Criminal #gangs are NOT #terrorist #organisations. #Criminality isn't #terrorism, @Nonilex. This is just #abuse of #language - terrorism is the use of #violence for #political &/or #religious ends. If there is no #ideological #motivation, it isn't terrorism, no matter how #violent it is.
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https://www.theguardian.com/world/2026/may/29/brazil-gangs-terrorist-rubio. #Criminal #gangs are NOT #terrorist #organisations. #Criminality isn't #terrorism, @Nonilex. This is just #abuse of #language - terrorism is the use of #violence for #political &/or #religious ends. If there is no #ideological #motivation, it isn't terrorism, no matter how #violent it is.
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#CATHOLIC #LAY #ORGANISATIONS multi-search-tag-explorer.headlines-world.com/advanced-sea... SEO - Creates Semantic Nodes and Clusters. AÉPIOT: INDEPENDENT SEMANTIC WEB 4.0 INFRASTRUCTURE (EST. 2009): headlines-world.com
MultiSearch Tag Explorer -
#INTERNATIONAL #ORGANISATIONS #ACT 1968 advanced-search.aepiot.com/advanced-sea... allgraph.ro aePiot: The professional gateway to Web 4.0. Build nodes, lead SEO.
MultiSearch Tag Explorer -
Iran Detains Tanker Sanctioned by US for Carrying Iranian HSFO
The IRGC Navy seized the 72,768 DW…
#NewsBeep #News #BreakingNews #box #breakingnews #bunker #bunkerfuel #bunkerindications #bunkernews #bunkerprices #bunkering #Companies #compliance #credit #Cruise #Enforcement #etc #Iran #IranConflict2026 #IranIslamicRepublicof #Legal:Legislation #marinefuel #marinenews #organisations #people #prices #RiskManagement #ShippingMarkets:DryBulk #shippingnews #tanker
https://www.newsbeep.com/527097/ -
La méthode Notre-Dame ressemble-t'elle à la méthode Vasa ?
Le Vasa a coulé à son inauguration parce que ceux qui savaient qu'il allait couler n'ont pas osé le dire à ceux qui avaient le pouvoir de décider : https://fr.wikipedia.org/wiki/Vasa
#sociologie #travail #organisations #hiérarchie #méthode #méthodeNotreDame #Macron #ingénierie #design #autorité #pouvoir #systèmes
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La méthode Notre-Dame ressemble-t'elle à la méthode Vasa ?
Le Vasa a coulé à son inauguration parce que ceux qui savaient qu'il allait couler n'ont pas osé le dire à ceux qui avaient le pouvoir de décider : https://fr.wikipedia.org/wiki/Vasa
#sociologie #travail #organisations #hiérarchie #méthode #méthodeNotreDame #Macron #ingénierie #design #autorité #pouvoir #systèmes
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https://www.disabilitynewsservice.com/government-must-do-far-more-to-co-produce-mental-health-reforms-minister-is-told-by-disabled-campaigners/. "The #Government has been told to do far more to place people with #learning #difficulties & #autistic people at the heart of its controversial Mental Health Act #reforms. A disabled-led #network of #organisations has written to #mentalhealth minister Baroness Merron, questioning the #commitment of the Department of Health & Social Care (DHSC) to engaging with #disabled people in implementing those reforms." See: https://www.disabilitynewsservice.com/new-mental-health-act-offers-no-solution-to-abuse-exclusion-and-racism-in-mental-health-system/.
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https://www.disabilitynewsservice.com/government-must-do-far-more-to-co-produce-mental-health-reforms-minister-is-told-by-disabled-campaigners/. "The #Government has been told to do far more to place people with #learning #difficulties & #autistic people at the heart of its controversial Mental Health Act #reforms. A disabled-led #network of #organisations has written to #mentalhealth minister Baroness Merron, questioning the #commitment of the Department of Health & Social Care (DHSC) to engaging with #disabled people in implementing those reforms." See: https://www.disabilitynewsservice.com/new-mental-health-act-offers-no-solution-to-abuse-exclusion-and-racism-in-mental-health-system/.
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https://www.theguardian.com/global-development/2026/apr/10/argentina-just-ripped-up-its-pioneering-glacier-law-what-does-this-mean-for-millions-of-peoples-drinking-water. "About 7 million #people, 16% of the #population in #Argentina, live in areas that depend on #glaciers, according to #environmental #organisations. Glaciers don’t just feed #rivers; they balance fragile #ecosystems hit hard by a heating #planet. In Argentina’s northwest, #scientists say they have shrunk by 17% in the past 10 years."
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https://www.theguardian.com/global-development/2026/apr/10/argentina-just-ripped-up-its-pioneering-glacier-law-what-does-this-mean-for-millions-of-peoples-drinking-water. "About 7 million #people, 16% of the #population in #Argentina, live in areas that depend on #glaciers, according to #environmental #organisations. Glaciers don’t just feed #rivers; they balance fragile #ecosystems hit hard by a heating #planet. In Argentina’s northwest, #scientists say they have shrunk by 17% in the past 10 years."
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#Iran : #Paris soutient l'inscription des #Gardiens de la #Révolution sur la #liste #européenne des " #organisations #terroristes"
C'est vrai qu'à partir de dizaines de milliers d'assassinats d' #iranien.ne.s, on peut raisonnablement les cataloguer comme telles...
Il aura fallu attendre 10 000 morts🤦🏼♂️🤦🏼♂️🤦🏼♂️
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#Iran : #Paris soutient l'inscription des #Gardiens de la #Révolution sur la #liste #européenne des " #organisations #terroristes"
C'est vrai qu'à partir de dizaines de milliers d'assassinats d' #iranien.ne.s, on peut raisonnablement les cataloguer comme telles...
Il aura fallu attendre 10 000 morts🤦🏼♂️🤦🏼♂️🤦🏼♂️
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The rapid diffusion of LLMs tests the capacity of organisations to bear loads
This was an interesting language by (the increasingly sinister) Alex Karp for something I’d been struggling to articulate: AI imposes loads on organisations, so those organisations with the capacity to bear that load have a huge advantage. He suggests “you just can’t obfuscate what can bear the load and what can’t”. It reveals organisations which have been pretending to bear the loads but are actually full of cracks. Which is exactly what I’ve been arguing with UK higher education. The problem is the timing as much as the technology itself.
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How beautiy- and colourful can a #protest be?
#strikewef is not just a #protest . We are a #gathering and a #platform many diferent #organisations and #movement s.
We want to be your #meltingpot out of which we #riseup as #united as #diverse we are. -
🚨 Call for Papers: „Organisationen und existenzielle Probleme“ 🚨
Sektionsveranstaltung Organisationssoziologie | #dgs2026
MainzGesellschaftliche Großprobleme wie Klimakrise, Krieg oder KI-Superintelligence sind nicht einfach „da“ – sie werden von Organisationen konstruiert, kategorisiert, bearbeitet etc. Wie machen Organisationen das?
#Soziologie #Organisations #GrandChallenges #KI #Klima #CallForPapers
Alles Wissenswerte 👇
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🚨 Call for Papers: „Organisationen und existenzielle Probleme“ 🚨
Sektionsveranstaltung Organisationssoziologie | #dgs2026
MainzGesellschaftliche Großprobleme wie Klimakrise, Krieg oder KI-Superintelligence sind nicht einfach „da“ – sie werden von Organisationen konstruiert, kategorisiert, bearbeitet etc. Wie machen Organisationen das?
#Soziologie #Organisations #GrandChallenges #KI #Klima #CallForPapers
Alles Wissenswerte 👇
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Even though we know that #mentoring works and is a great way to #develop future organisational leaders, many #organisations are not using it fully for (all) their #expatriates. This newly published book chapter reviews the role of mentoring in developing expatriates, with unique challenges such as #cultural differences, #language barriers, and geographical distance.
https://www.intersango.dk/how-can-we-develop-expats-through-mentoring/
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Toi aussi envoie un mail avec du rouge partout, en pointant un site web sans ajouter son URL, et précise de surtout répondre à une autre adresse mail, mais sans l'indiquer dans "Répondre à"
#numérique #ESR #France #organisations #tools #outils #mailseverywhere #culturenumérique -
Some notes on the political economy of AGI
In recent weeks I’ve been preoccupied by the thought that while I’m confident AGI, particularly the idea that it will emerge from LLMs, is a bullshit notion I’m far from certain. I’ve wondered if this uncertainty is more widespread than it seems and in fact plays a role in the competitive dynamics driving investment in the area. If you think it’s unlikely but you recognise you might be wrong, withdrawal from competition carries the risk of your competitors realising the gains if AGI is possible after all. The probability might be small but the consequences are vast. Indeed if the wildest predictions were true then the consequences are effectively infinite, in the sense the entire economic model would be transformed. Who could justify withdrawing from the race to build the machine god under these circumstances?
It’s an unsettling thought because… AGI is bullshit. This piece by Arjun Ramani and Zhengdong Wang helps me flesh out my dismal in a more concrete way. The claims of economic impact are ultimately about productivity growth: a general purpose technology enabling us to do more with less across the full range of economic activities. In its wildest formulation productivity growth would be exponential as AGI drives the innovation process itself. Yet as they point out uneven productivity growth across sectors dampens the link between productivity growth and economic growth:
Such a world is hard to achieve. As the economist William Baumol first noted in the 1960s, productivity growth that is unbalanced may be constrained by the weakest sector. To illustrate this, consider a simple economy with two sectors, writing think-pieces and constructing buildings. Imagine that AI speeds up writing but not construction. Productivity increases and the economy grows. However, a think-piece is not a good substitute for a new building. So if the economy still demands what AI does not improve, like construction, those sectors become relatively more valuable and eat into the gains from writing. A 100x boost to writing speed may only lead to a 2x boost to the size of the economy.[2]
What Ethan Mollick called the ‘jagged frontier’ has important implications here. Not only are the affordances of LLMs widely variable across tasks, it can be difficult to identify this variability without significant time and research. This means that not only are variable productivity gains intrinsic to LLMs as currently constituted, realising those gains takes a lot of investment on the ground in a way that often might not pay off in practice. In this sense I think we can say that whatever contribution LLMs might make to productivity growth will, by its nature, be unbalanced.
Even those knowledge-manipulation tasks which might seem susceptible to LLM-driven innovation in reality have bottle necks which make the claim of generalised innovation untenable. They point out that continued limitations of robotics are a further bottleneck, given how much productivity relies on physical engagement with the world. This crucial class of bottlenecks are ones which cannot be solved by an increase in the capability of LLMs. As they put it: “AI must transform all essential economic sectors and steps of the innovation process, not just some of them” and that “Otherwise, the chance that we should view AI as similar to past inventions goes up” i.e. it should be considered a “normal technology”.
This is compounded by the spiralling technical constraints which AI labs are now encountering. High quality data is drying up. The returns on scaling are declining. The demand for compute is rising faster than technical innovation can lower the costs. The regulatory environment is liable to become significantly more challenging as the real world costs of rapid diffusion become politically salient. Furthermore when we consider the reality of rapid diffusion we find examples where LLM use might lower productivity. They cite this example from Callum Williams:
GPT-4 is a godsend for a NIMBY facing a planning application. In five minutes he can produce a well written 1,000-page objection. Someone then has to respond to it… lawyers will multiply. “In the 1970s you could do a multi-million-dollar deal on 15 pages because retyping was a pain in the ass,” says Preston Byrne of Brown Rudnick, a law firm. “AI will allow us to cover the 1,000 most likely edge cases in the first draft and then the parties will argue over it for weeks.”
I don’t think this means that we should dismiss the productivity gains entirely. Andrew McAfee cites the estimate that “close to 80% of the jobs in the U.S. economy could see at least 10% of their tasks done twice as quickly (with no loss in quality) via the use of generative AI”. Where I differ from most sociologists is that I do find this claim prima facie plausible, with the caveat that realising that potential would require organisations that aren’t tyrannising their staff through aggressive cost cutting and the ultimate goal of automation them as much as possible. It requires professional autonomy, abundance of time, permission to experiment etc. Exactly what is lacking in (most) organisations that are preoccupied by productivity growth. These are the kinds of sociological considerations which are strikingly absent from the booster discourse. I was struck for example how McAfee cites the rapid expansion of context windows as if this is a straight forward contributor to productivity:
A final way to see the rapid improvement in generative AI systems is to look at the size of their “context windows,” or how much information they can accept from users. If, for example, a user wanted generative AI to summarize or rewrite a report, the report would need to be included in the context window along with the request. In 2020 state-of-the-art systems had a context window that could accommodate about 7 and a half pages of text. By late 2023 the window was 40 times larger and was able to accept about 300 pages of text.
The capacity to throw in vast amounts of context just to see if it helps encourages wasteful and costly use of LLMs. It also makes it easier to produce the pages of deliberately or accidentally blocking material referred to by Williams above. There’s not a linear relationship between the capabilities of the systems and the contribution they can make to productivity, both in terms of realising that contribution and the unintended consequences of widespread use of more capable models. Particularly within organisations that have incentive structures which have evolved under conditions of informational scarcity in which the existence of outputs could be treated as a cypher for the work which went into them and the characteristics of the person who did this work. This is exactly what research which individualises occupational roles and unbundles these roles into tasks will always miss:
A 2023 study examined all the tasks done by workers throughout the American economy to see which of them could be done at least at least twice as rapidly with no loss in quality via the use of generative AI. The research concluded that for about 20% of all workers, half or more of their tasks fell into this category. When the threshold was reduced to 10% of tasks, 80% of workers qualified. For example, interpreters and translators, survey researchers, and public relations specialists all had at least two-thirds of their tasks eligible for significant productivity improvement via generative AI. At the other end of the spectrum, workers including short-order cooks, athletes, and oil and gas derrick operators had no tasks in this category.
The unintended consequences spread through the network structure of the organisation, as well as the internal relations between the tasks which are currently bundled together into an occupational role. The effects which emerge at the intersection between two when things start changing are always going to be incredibly complex, as anyone who has ever had an organisational restructuring imposed on their workplace can tell you. (See Chesterton’s fence and a piece I’ve lost about the master spreadsheet that secretly keeps the organisation running) There’s an ecological complexity to working together which is completely missed by these reductive and taxonomic modes of analysing the character of workplaces. However McAfee is certainly correct in my view about the significance of the diffusion mechanism:
For one thing, much of the required infrastructure is already in place. Once new generative AI systems are developed they can be deployed around the world as quickly as web pages and apps can. A large and growing number of powerful applications using this technology are immediately available at no cost to anyone with an Internet-connected device. Others are available by subscription. This wide availability applies to both end users of the technology and developers who want to build new tools with it. Furthermore, as generative AI continues its rapid improvement, many of these improvements will propagate globally as soon as they’re released.
But this is actually a problem for productivity because it means diffusion can be individualised and chaotic. Individuals take up the tools in privatised ways, shaped by a social penalty on admitting LLM use, liable to create all sorts of short and medium term problems for organisations. They’re then incentivised to buy enterprise solutions as a way of managing the chaos. Again the sociology of the diffusion looks very different to a narrow reading of the economics of diffusion. Likewise the idea that you ‘just talk’ to the LLM:
Another reason to expect this technology to spread quickly is that it is an easy one for people to start working with. They just talk to it. Most of generative AI’s users don’t have to master a new user interface or programming language; they instead use natural human language. It requires time and practice to become proficient at interacting with generative AI, but it doesn’t require many “computer skills.” The technology, in short, is immediately available to people and quickly useful to them
There’s a scholastic fallacy here in which it’s imagined that most people are in the position to do this, with the professional autonomy to define their own workflows and the cultural capital required to articulate them consistently. However this shouldn’t lead us to be reassured about the existence of at least a class of jobs with this autonomy because I fear these are exactly the people (*cough* academics *cough*) who are liable to self-discipline with LLMs in order to sustain productivity increases which permit deliberate understaffing to intensify as an occupational strategy. So not automating the workforce or even restructuring the bundle of tasks but simply expecting fewer staff to do more because they’re now operating at a higher level of productivity. In this cases there’s an organisational incentive towards strategic ignorance on the part of management about this.
#AI #automation #labour #LLMs #organisations #productivity #work
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The first AI ‘law firm’ in the UK
HT Bruce Humphrey. What could go wrong? 😑
Garfield.Law offers small and medium sized businesses, as well as law and other firms, the use of an AI-powered litigation assistant to help them recover unpaid debts, guiding them through the small claims court process up to trial.
We are encouraging the development of new approaches and models due to the potential consumer benefits. AI-driven legal services could deliver better, quicker and more affordable legal services. There are, however, potential risks to the public, so we have been making sure there are appropriate checks in place to make sure that consumer protections are not diluted.
Before authorising Garfield.Law, we engaged with the owners to consider the firm’s processes and assure ourselves that our rules can be met by an AI service. For instance, we have sought reassurance that there are appropriate processes in place to quality-check work, keep client information confidential, and safeguard against conflicts of interests.
We have also checked the firm is managing the risk of ‘AI hallucinations.’ The system will not be able to propose relevant case law, which is a high-risk area for large language model machine learning.
https://www.sra.org.uk/news/news/press/garfield-ai-authorised/
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The first AI ‘law firm’ in the UK
HT Bruce Humphrey. What could go wrong? 😑
Garfield.Law offers small and medium sized businesses, as well as law and other firms, the use of an AI-powered litigation assistant to help them recover unpaid debts, guiding them through the small claims court process up to trial.
We are encouraging the development of new approaches and models due to the potential consumer benefits. AI-driven legal services could deliver better, quicker and more affordable legal services. There are, however, potential risks to the public, so we have been making sure there are appropriate checks in place to make sure that consumer protections are not diluted.
Before authorising Garfield.Law, we engaged with the owners to consider the firm’s processes and assure ourselves that our rules can be met by an AI service. For instance, we have sought reassurance that there are appropriate processes in place to quality-check work, keep client information confidential, and safeguard against conflicts of interests.
We have also checked the firm is managing the risk of ‘AI hallucinations.’ The system will not be able to propose relevant case law, which is a high-risk area for large language model machine learning.
https://www.sra.org.uk/news/news/press/garfield-ai-authorised/
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Some sociological thoughts on responsible AI
I’m instinctively nervous about the language of responsible AI because it implies control over the process. When it comes to consumer-facing LLMs, which is the only part of this I claim any expertise over, the possibility of that control is foreclosed on two sides: organisationally and sociotechnically.
In the original phase of their diffusion I was actually relatively relaxed because with early models (say GPT 4, Claude 2 and earlier) it was necessary to exercise intellectual labour in order to get a good enough output. The kernel truth of buried in the otherwise unhelpful language of ‘prompt engineering’ was that thought was necessary in order to get the model to be useful. You had to be clear about what you wanted, explain what you wanted and use that clarity to help refine the output. There was a certain degree of intellectual engagement encountered as a functional necessity. In contrast GPT 5 and Opus 4 onwards are adept at inferring intention from isolated, incoherent or fragmented prompts. It’s now possible to get a good enough output with very little thought. So the product side necessity of exercising control is diminishing rapidly.
However we’re seeing a broader turn towards models which prompt users. GPT Pulse, the suggestion-heavy post training of GPT 5 and Llama’s proactive engagement all herald a near future in which our interaction with LLMs is increasingly driven by the LLM itself. The politics of this are complex, as are the downstream effects, but it does mean we’re entering into a landscape where responsibility for how the LLM is used will increasingly be shared with the LLM itself. Once you consider the commercial imperatives likely to drive this, it seems obvious we’ll enter a situation where it’s increasingly difficult to exercise responsibility over LLMs as an ender user by virtue of design.
In an organisational context existing processes of workload intensification are intersecting with AI hype and post-pandemic organisational strain to create a pressure for workers to increase their own productivity. Either filtered through the lens of quasi-autonomy, such that individuals take up this challenge themselves in a private capacity, or through explicit mandates (like at an increasing number of tech firms) to publicly demonstrate that you’re using LLMs to increase your own productivity. Under these circumstances responsible use gets diffused as a matter of organisational politics.
There clearly needs to be some sense of responsibility for end users when it comes to LLMs. But how do we sustain a notion of responsibility which avoids individualising in the face of the sociotechnical and organisational challenge, recognising the deep and profound difficulties which users are going to face in sustaining a responsible use of the models? For a long time I thought professional user cultures (e.g. a scholarly culture of LLM use) could be an organisational bulwark against these tendencies. But increasingly I realise how deeply naive that view was, largely because I failed to distinguish between agency qua human being and agency qua worker. It’s the latter capacity which will win out, so if productivity expectations increase within organisations, enough people will act in these directions which in turns create network pressure to conform or be left behind.
At least conceptually an adequate notion of responsibility needs to couple these dimensions together (context<->action and infrastructure<->action) in order to posit a potential for action relevant to the circumstances which the user confronts. But that line of argument leads me to the conclusion of that responsible use of LLMs will become ever more costly, with ever greater opportunity costs, over the coming years.
#agency #enshittification #languageModels #organisations #responsibleAI
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🏭 #Mastodon, the open-source social platform, is launching #paidhosting, #paidmoderation, and #paidsupport #services for #organisations.
💸 This initiative aims to achieve #financialsustainability while maintaining decentralisation and community-driven governance.
🧑⚖️ Mastodon is also prioritising #usability improvements and establishing a #nonprofit to oversee #governance.
👉 https://tech.eu/2025/09/19/from-brussels-to-blois-mastodon-turns-commercial-partnerships-into-paid-services/?Fedizen.EU #Fedizen #Fediverse #ActivityPub #News
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🏭 #Mastodon, the open-source social platform, is launching #paidhosting, #paidmoderation, and #paidsupport #services for #organisations.
💸 This initiative aims to achieve #financialsustainability while maintaining decentralisation and community-driven governance.
🧑⚖️ Mastodon is also prioritising #usability improvements and establishing a #nonprofit to oversee #governance.
👉 https://tech.eu/2025/09/19/from-brussels-to-blois-mastodon-turns-commercial-partnerships-into-paid-services/?Fedizen.EU #Fedizen #Fediverse #ActivityPub #News
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#Economie, #Environnement
« Non à la taxe #Windows » : 24 #organisations s’unissent contre la fin des #mises à #jour #gratuites de #Windows 10400 millions d’ #ordinateurs concernés
#USE #LINUX , #ARCHLINUX 🐧
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#Economie, #Environnement
« Non à la taxe #Windows » : 24 #organisations s’unissent contre la fin des #mises à #jour #gratuites de #Windows 10400 millions d’ #ordinateurs concernés
#USE #LINUX , #ARCHLINUX 🐧
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« Le système capitaliste est devenu globalement assez idiot, et cynique. Les entreprises, qui font de leur croissance l’alpha et l’oméga, sont presque toutes atteintes d’obésité morbide. Plus personne ne comprend ce qui s’y passe, leurs dirigeants encore moins. Quant aux cabinets de conseil, ils sont atteints de la même maladie. »
« Au global, le monde du conseil est incapable d’envisager des modèles différents sans les traiter avec arrogance ».
https://www.consultor.fr/articles/david-naim-le-consultant-qui-tape-dans-le-tas
#évaluations #entreprise #entreprises #sociologie #management #performance #stratégie #conseil #consultants #McKinsey #BCG #DavidNaïm #métier #organisation #organisations #carrière #IA
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« Le système capitaliste est devenu globalement assez idiot, et cynique. Les entreprises, qui font de leur croissance l’alpha et l’oméga, sont presque toutes atteintes d’obésité morbide. Plus personne ne comprend ce qui s’y passe, leurs dirigeants encore moins. Quant aux cabinets de conseil, ils sont atteints de la même maladie. »
« Au global, le monde du conseil est incapable d’envisager des modèles différents sans les traiter avec arrogance ».
https://www.consultor.fr/articles/david-naim-le-consultant-qui-tape-dans-le-tas
#évaluations #entreprise #entreprises #sociologie #management #performance #stratégie #conseil #consultants #McKinsey #BCG #DavidNaïm #métier #organisation #organisations #carrière #IA
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Last night it occurred to me I knew what productivity means more then our government, the business council and every #CEO in Australia.
If you go into any restaurant or cafe they also know what productivity means.
Every small business owner, the real ones not the pretend one that the federal gov touts, intuitively knows what productivity means.
The #government and large #organisations understand graft and greed but they have no idea what productivity is.
The first thing about #productivity is you haven’t got a steamlined perfect system using humans no computer is going to improve it.
#businesscouncil #smallbusiness -
A recent report reveals that 61% of European #organisations using #AI have seen #revenue #growth. The report categorises organisations into three stages of #AIadoption: implementation, scaling, and leading. Organisations in all stages report improvements in #customeracquisitioncosts and #mediawaste, highlighting the operational benefits of AI. https://www.thedrum.com/opinion/2025/07/25/how-far-along-the-ai-adoption-scale-are-you
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#Chinese #hacking groups, including Linen Typhoon, Violet Typhoon, and Storm-2603, have been linked to #attacks exploiting a #Microsoft #SharePoint #zeroday vulnerability chain. The attacks, dubbed #ToolShell, targeted dozens of #organisations worldwide, including multinational #companies and #government entities. https://www.bleepingcomputer.com/news/security/microsoft-sharepoint-toolshell-attacks-linked-to-chinese-hackers/?eicker.news #tech #media #news
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#Chinese #hacking groups, including Linen Typhoon, Violet Typhoon, and Storm-2603, have been linked to #attacks exploiting a #Microsoft #SharePoint #zeroday vulnerability chain. The attacks, dubbed #ToolShell, targeted dozens of #organisations worldwide, including multinational #companies and #government entities. https://www.bleepingcomputer.com/news/security/microsoft-sharepoint-toolshell-attacks-linked-to-chinese-hackers/?eicker.news #tech #media #news
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Creative Problem Solving: from »No, But« to »Yes, And!« 👉 https://CreativeProblemSolving.EU
#Whatis #CreativeProblemSolving? 💡 #CPS is an #innovationmethod focused on generating open-ended ideas to complex problems through imaginative and exploratory thinking.
#Overcoming #Complacency 🚧 Creative problem solving addresses complacency in #business #organisations, pushing teams beyond comfortable routines to actively #innovate. (1/2)
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Creative Problem Solving: from »No, But« to »Yes, And!« 👉 https://CreativeProblemSolving.EU
#Whatis #CreativeProblemSolving? 💡 #CPS is an #innovationmethod focused on generating open-ended ideas to complex problems through imaginative and exploratory thinking.
#Overcoming #Complacency 🚧 Creative problem solving addresses complacency in #business #organisations, pushing teams beyond comfortable routines to actively #innovate. (1/2)
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>>> How can we keep defending digital rights amid a funding crisis?
Find out more in the latest issue of our #APCNews newsletter. 👇
https://crm.apc.org/civicrm/mailing/view?reset=1&id=2021
You can also subscribe here:
https://crm.apc.org/civicrm/mailing/forward?reset=1&jid=5986&qid=2443554&h=cyqwjfjl6lkcg0xf
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Finding new savings for local government organisations