Prova de que big tech é uma prisão:
"Um estudo recente conduzido pelo economista Leonardo Bursztyn, da Universidade de Chicago, retratou bem essa armadilha. Os pesquisadores recrutaram mais de mil estudantes universitários e perguntaram a eles quanto dinheiro exigiriam para desativar suas contas no Instagram ou no TikTok por quatro semanas. É uma pergunta padrão de economistas para calcular o valor de um produto. Os estudantes responderam que precisariam, em média, de 50 dólares (59 no caso do TikTok, 47 no caso do Instagram) para sair dessas plataformas.
Em seguida, os pesquisadores disseram aos estudantes que tentariam convencer a maioria dos alunos da faculdade a sair das redes sociais, também mediante pagamento. E perguntaram: “Quanto você exigiria receber para desativar sua conta se a maioria dos outros também saísse da plataforma?” A resposta, em média, foi menos que zero. Em todos os casos, a maioria dos alunos se dispunha a pagar para sair da plataforma." https://sol2070.in/2024/05/Prova-de-que-big-tech-%C3%A9-uma-pris%C3%A3o #bigtech
After watching OpenAI's presentation and, even more, an excerpt from Google's presentation yesterday, I asked myself: is this AI, according to the big tech companies (especially Google - for OpenAI it's their core business, so I understand their perspective), truly what users want and need, or is it just another method to lock people into using their technologies, which are not easily self-hostable?
I'm not arguing for or against it, but I noticed that (almost) the entire Google I/O yesterday was focused on this...
#BigTech#SiliconValley#Dystopias: "By attaching the new product to a popular speculation, especially one with built-in dramatic tension, the founders can elevate a buggy, unproven, or partially conceived technology into the cultural firmament, even if only briefly. It’s a cheat code, a way of getting us to relate to a future that’s already been culturally prototyped, and it can be quite successful. To wit: The day after admonishing tech companies for using Her as a benchmark for their products, Roose dedicated his column to explaining how AI’s ‘Her’ Era Has Arrived — thus further entrenching the link between OpenAI’s aspirational technology and its attendant useful dystopia in the public consciousness. Hell, my own story about the grim origins of the metaverse probably made Facebook’s deeply lame Horizons VR product seem orders of magnitude cooler than it turned out to be.
Even if consumers aren’t aware of all of the dystopian reference points these founders and companies are pushing, they probably should be aware of the narcissistic, us-against-the-collapsing-world mentality that is active behind them. And we shouldn’t merely mock the tech set for using dystopias as marketing materials — we should try to stop them from creating them, too."
»Software aus der Schweiz statt Amerika:
Software von Big Tech ist alternativlos? Stimmt nicht, sagt Swiss Made Software und zeigt auf seiner Website mögliche Schweizer Lösungen.«
Abgesehen davon @inside_It, wäre ua Open-Source auch eine Alternative. Obwohl sehr viele dieser Software Kostenlos ist, lässt sich damit durchaus gut Geld verdienen ohne bei 0 anzufangen, wie zB die IT-Konzerne aus der USA.
"Een ander punt dat het College noemt is dat een groot deel van het aanbod afkomstig is van grote techbedrijven zoals Apple, Google, en Microsoft. "De invloed van deze bedrijven kan sturend zijn en kan scholen van hun producten afhankelijk maken, ..."
#Uber#RideHailing#GigEconomy#BigTech#Lobbying#SiliconValley: "Meanwhile, Uber has a long record of using deceptive actions to avoid regulatory oversight, most notably through a program called Greyball. In Boston, Las Vegas, and a host of European cities, it deployed a mock version of its app on the phones of unfriendly city officials to make it falsely appear that the service was not available. In some cities, it investigated passengers’ credit card accounts to help determine if they were government officials.
Where state legislatures or courts do not deliver for Uber, it turns to the ballot box. In 2019 California passed a law making companies responsible for proving that their workers were independent contractors, which opened the door to reclassifying them as employees. Uber and other gig economy companies responded by pouring $220 million into a ballot initiative, Proposition 22, which it billed as a defense of drivers’ rights. “Protecting the ability of Californians to work as independent contractors throughout the state using app-based rideshare and delivery platforms,” it stressed, “is necessary so people can continue to choose which jobs they take, to work as often or as little as they like, and to work with multiple platforms or companies.” In fact the proposition would exempt app-based workers from nearly all labor protections, including paid sick leave, retirement benefits, and workers compensation. It passed, though a group of drivers have contested its legality in the California Supreme Court. Its success is still a troubling sign of Uber’s political clout. In Massachusetts, Uber, Instacart, and Lyft raised $43 million in 2022—and $7 million so far this year—for copycat ballot initiatives."
#Microsoft#FossilFuels#BigTech#DataCenters#Environment: "For nearly a decade, Holly Alpine (née Beale) loved working at Microsoft. Shortly after finishing college, in July 2014, she landed a job there as a technical account manager. Less than four years later, Alpine was leading a program that invests in environmental projects in the communities where Microsoft’s data centers are located. She was also helping organize a worker-led sustainability group called the Sustainability Connected Community, which would grow to nearly 10,000 Microsoft employees worldwide by late 2023.
But at the end of last year, Alpine reached a painful decision: She could no longer ethically work at Microsoft. On January 24, 2024, Alpine sent an email to Microsoft president Brad Smith, CEO Satya Nadella, and several other senior company officials, letting them know why.
Writing on behalf of herself and a colleague who resigned at the same time, Alpine told the tech giant’s top brass that the two were quitting in “no small part” due to Microsoft’s work for the fossil fuel industry aimed at automating and accelerating oil extraction."
If you want to understand how startups and venture capital work, go to 26:24 on the recording of my talk “Excuse Me, Your Unicorn Keeps Shitting In My Back Yard, Can He Please Not?” from 2016:
#AI#TESCREAL#SiliconValley#BigTech: "So there's this long tradition of consulting people who use technologies to find out what they need, and to find out why technology does or doesn't work for them. And the big message there was that technologists are probably more ill-equipped to understand that than average people, and to see the industry swing back towards tech authority and tech expertise as making decisions about everything, from how technology is built to what future is the best for all of us, is alarming in that sense.
So we can draw from things like user-centered research. This is how I concluded the paper, is just pointing to all the processes and practices we could start using. There's user-centered research, there's participatory processes, there's... Policy gets made often through consulting with groups that are affected by systems, by policies. There are ways of designing technology so that people can feed back straight into it, or we can just set in some regulations that say, in certain cases, it's not acceptable for technology to make a decision.
I think some of what we have to do is get outside of the United States, because some of the more human rights oriented or user-centered policymaking is happening elsewhere, especially in Europe."
#BigTech#SiliconValley#Antitrust#Competition#DigitalPlatforms: "Treating platform corporations as surrogate states leads to multiple interesting follow-up insights. Lehdonvirta criticizes competition policy-based solutions to the problem of platform power. If the digital platforms’ core source of value is the provision of governance services, how exactly would increasing competitive pressures or government-enforced deconcentration benefit societies? Among the most fascinating follow-up insights is Lehdonvirta’s take on the political power of platforms. The literature on platform power has—rightly—been focused on the extremely successful ways in which these businesses were able to enlist consumers and users into political-economic alliances against public regulators and incumbents (Culpepper and Thelen, 2020; Adler, 2021). Lehdonvirta’s take is not incompatible, but slightly different. In important ways platforms have become the institutional infrastructure of core swaths of the economy. While the book does not engage with the recent literature on financial systems, its account takes the recent debate about the infrastructural power of business to a new field. Even more striking than in financial markets, however, cloud empires are not just providing the ‘fuel’ to govern markets effectively but have themselves become essential components of the institutional fabric of commercial life today. It is this infrastructural role that helps to explain why there is very little public surprise when platforms feel entitled to maintain embassies in ‘foreign nations’."
#EU#DMA#BigTech#Regulation#Antitrust: "The DMA is a first, and a great deal of earnest effort is going into its implementation. But we don’t know what “success” will look like, even on its own terms. Of course, even a limited set of improvements would be better than the status quo. Godspeed, but let’s be realistic also. The more fundamental point is that the real interesting question is not if we can nibble the gatekeepers at the margin: but whether we can disintermediate them at least in part so that we do not need to rely entirely on a proprietary Web 2.0 that they comprehensively control. Antitrust complaints in the US have at least some prospect of involving divestments and break ups as the eventual remedy – though this will also be a long and inevitably hard fought road. This is not on the cards in Europe through digital markets regulation."
#AI#BigTech#Energy#GenerativeAI: "One problem is that data centres tend to consume power at a steady rate, including when the sun is not shining nor the wind blowing. So technology firms are also thinking of ways to make data-processing more flexible. In March Sidewalk Infrastructure Partners, an investment fund co-created by Alphabet, presented a detailed plan for how this could be achieved. It involves a combination of microgrids (which can run independently but also exchange energy with others nearby), batteries and advanced software in order to enable shifting less time-sensitive tasks, such as training ai models, to periods of fallow demand. Jonathan Winer, one of Sidewalk’s founders, expects such data centres to pop up first in energy-constrained places like Arizona, California and Massachusetts.
Renewables are not the only area of big tech’s power interest. In March aws paid $650m for a 960-megawatt (mw) data centre in Pennsylvania powered by a nuclear reactor located next door. Microsoft has struck a deal with Constellation Energy, America’s biggest nuclear operator, for supply of nuclear power for its data centre in Virginia, as a backstop when wind and solar are unavailable. Both firms have also been looking at “small modular reactors”, a promising though unproven nuclear technology."
I like how social media and news sites call it your "feed". Makes me feel like a farm animal getting fattened up for slaughter so I can be divided up and sold piecemeal to advertisers.
“A lot of times, it’s being asked to provide a solution to a problem that doesn’t exist with a tool that you don’t want to use,” independent software engineer Kolman told CNBC.
The Microsoft AI engineer said a lot of tasks are about “trying to create AI hype” with no practical use. He recalled instances when a software engineer on his team would come up with an algorithm to solve a particular problem that didn’t involve generative AI. That solution would be pushed aside in favor of one that used a large language model, even if it were less efficient, more expensive and slower, the person said. He described the irony of using an “inferior solution” just because it involved an AI model.
A software engineer at a major internet company, which the person asked to keep unnamed due to his group’s small size, said the new team he works on dedicated to AI advancement is doing large language model research “because that’s what’s hot right now.”"