#technologies and platforms

[probablyasocialecologist]

In The Entrepreneurial State, Professor Mariana Mazzucato has shown that every piece of technology that makes the iPhone so innovative – its use of the internet, touchscreen, voice-activated software and GPS system – has been created through public funding. She demonstrates that in the digital economy the risks of innovation are shouldered by the public, while the rewards of small breakthroughs are hoarded by private companies. The huge profits of tech companies are only possible on the basis of collective value creation through public research. Many of the biggest and most widely used innovations were supported by government funding into research and development. From the internet to super computers, magnetic resonance imaging, smartphones, civilian aviation, LED lighting, prosthetics and nanotech, it is the public sector that funds the exploratory, high-risk innovation that has made the biggest technological advances. The digital network created by affordable home computers, the internet and the world wide web was made possible by research from the US Department of Defense, CERN, research universities and years of collaborative research. It was built on a policy of open access and free use.

James Muldoon, Platform Socialism: How to Reclaim our Digital Future from Big Tech

[mostlysignssomeportents]

Someday, we’ll all take comfort in the internet’s “dark corners”

I'm on tour with my new, nationally bestselling novel The Bezzle! Catch me on SUNDAY (Mar 24) with LAURA POITRAS in NYC, then Anaheim, and beyond!

Platforms decay. Tech bosses, unconstrained by competition; regulation; ad blockers and other adversarial interoperability; and their own workers, will inevitably hollow out their platforms, using ultraflexible digital technology to siphon value away from end users and business customers, leaving behind the bare minimum of value to keep all those users locked in:

https://pluralistic.net/2024/01/30/go-nuts-meine-kerle/#ich-bin-ein-bratapfel

If you'd like an essay-formatted version of this thread to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/03/23/evacuate-the-platforms/#let-the-platforms-burn

Enshittification is the inevitable result of high switching costs. Tech bosses are keenly attuned to opportunities to lock in their customers and users, because the harder is to leave a platform, the worse the platform can treat you – the more value it can rob you of – without risking your departure.

But platform users are a heterogeneous, lumpy mass. Different groups of users have different switching costs. An adult Facebook user of long tenure has more reasons to stay than a younger user: they have more complex social lives, with nonoverlapping social circles from high school, college, various jobs, affinity groups, and family. They are more likely to have a chronic illness, or to be caring for someone with chronic illness, and to be a member of a social media support group they value highly. They are more likely to be connected to practical communities, like little league carpool rotas.

That's the terrible irony of platform decay: the more value you get from a platform, the more cost that platform can extract, a cost denominated in your wellbeing, enjoyment and dignity.

(At this point, someone will pipe up and say, "If you're not paying for the product, you're the product." It's nonsense. Dignity, respect and fairness aren't frequent flier program perks that tech companies dribble out to their best customers. Companies will happily treat their paying customers as "products" if they think those customers can't avoid other forms of rent-extraction, such as "attention rents")

https://pluralistic.net/2023/11/06/attention-rents/#consumer-welfare-queens

Now, consider the converse proposition: for younger users, platforms deliver less value. Younger users have less complex social lives on average relative to their parents and grandparents, which means that platforms have fewer ways to sink their hooks into those young users. Further: young users tend to want things that the platforms don't want them to have, right from the first day they sign up. In particular, young users often want to conduct their socializing out of eyesight and earshot of adults, especially parents, teachers, and other authority figures. This means that a typical younger user has both more reasons to leave a platform as well as fewer reasons to stay there.

Younger people have an additional reason to bail on platforms early and often: if your online and offline social circles strongly overlap – if you see the same people at school as you do in your feed, it's much easier to reassemble your (smaller, less complex) social circle on a new platform.

And so: on average, young people like platforms less, hate them more, and have both less to lose and more to gain by leaving one platform for another. Sure, some young people are also burning with youth's neophilia. But even without that neophilia, young people are among the first to go when tech bosses start to ratchet up the enshittification.

Beyond young people, there are others who tend to jump ship early, like sex-workers:

https://pluralistic.net/2022/06/21/early-adopters/#sex-tech

Sex-workers' technology changes are only incidentally the result of some novelty-seeking impulse. The real reason to change platforms if you're a sex-worker is that the platforms are either absolutely hostile to sex-workers, or profoundly indifferent to the suffering their policy changes rain down upon them.

The same is broadly true of other disfavored groups, including those with out-of-mainstream political ideologies. Some of these groups hold progressive views, others are out-and-out Nazis, but all of them chafe at the platforms' policies at the best of times, and are far more ready to jump ship when the platforms tighten the noose on all their users.

This is where "dark corners" come in. The worst people on the internet have relocated to its so-called dark corners – privately hosted servers, groupchats, message-boards, etc. Some of these are notorious: Kiwi Farms, 4chan, 8kun, sprawling Telegram groupchats. Others only breach when they are implicated in waves of unthinkably cruel and grotesque crimes:

https://www.wired.com/story/764-com-child-predator-network/

The answer to crimes committed in the internet's dark corners is the same as for crimes committed anywhere: catch the criminals, prosecute the crimes. But a distressing number of well-meaning people observe the nexus between dark corners and the crimes that fester there, and conclude that the problem is with the dark corners, themselves.

These people observe that social media platforms like Facebook, and intermediaries like Cloudflare, DNS providers, and domain registrars constitute a "nexus of control" – chokepoints that trap the online lives of billions of people – and conclude that these gigantic corporations can and should be made "responsible" for their users:

https://www.techdirt.com/2020/06/23/hello-youve-been-referred-here-because-youre-wrong-about-section-230-communications-decency-act/

From there, it's a short leap to conclude that anyone who isn't in a position to be controlled by these too big to jail, too big to fail, relentlessly enshittifying corporations must be pushed into their demesne.

This is a deal with the devil. In the name of preventing small groups of terrible people from gathering in private, beyond the control of the world's insufferable and cruel tech barons, we risk dooming everyone else to being permanently within those unworthy billionaires' thumbs.

This is why people like Mark Zuckerberg are so eager to see an increase in "intermediary liability" rules like Section 230. Zuckerberg's greatest fear isn't having to spend more on moderators or algorithms that suppress controversial subjects:

https://arstechnica.com/tech-policy/2024/03/instagram-users-outraged-by-app-limiting-political-content-ahead-of-elections/

The thing he fears the most is losing control over his users. That's why he bought Instagram: to recapture the young users who were fleeing his mismanaged, enshittified platform in droves:

https://pluralistic.net/2023/09/03/big-tech-cant-stop-telling-on-itself/

A legal mandate for Zuckerberg to police his users is a legal requirement that he surveil and control those users. It's fundamentally incompatible with the new drive in competition circles to force Zuckerberg and his fellow tech barons to offer gateways that make it easier to escape their grasp, by allowing users to depart Facebook and continue to socialize with the users who stay behind:

https://www.eff.org/interoperablefacebook

Remember: the more locked-in a platform user is, the harder that platform will squeeze that user, safe in the knowledge that the cost of leaving is higher than the cost of staying and tolerating the platform's abuse.

This is the problem with "feudal security" – the warlord who lures you into his castle fortress with the promise of protection from external threats is, in reality, operating a prison where no one can protect you from him:

https://pluralistic.net/2021/06/08/leona-helmsley-was-a-pioneer/#manorialism

Rather than fighting to abolish dark corners because only the worst people on the internet use them today, we should be normalizing dark corners, making it easier for every kind of user to find a cozy nook that is shaded from the baleful glare of Zuck and his fellow, eminently guillotineable tech warlords:

https://pluralistic.net/2023/01/15/normalize-dark-corners/

Enshittification is relentless. The collapse of the restraints that penalized tech companies who abused their users – competition, regulation, interoperability and their own workers' consciences – has inculcated every tech boss with an incurable enshittification imperative.

Efforts to make the platforms safer for their users can only take us so far. Fundamentally, these vast, centralized systems that vest authority with flawed and mediocre and frail human dictators (who fancy themselves noble, brilliant and infallible) will never be safe for human habitation. Rather than focusing on improving the platforms, we should be evacuating them:

https://pluralistic.net/2023/07/09/let-the-platforms-burn/

Online communities that control their own moderation policies won't always get it right. But there is a whole host of difficult moderation calls that can never be adequately handled by outsiders overseeing vast, sprawling platforms. Distinguishing friendly banter from harassment requires the context that only an insider can hope to possess.

We all deserve dark corners where we stand a chance of finding well-managed communities that can deliver the value that keeps us stuck to our decaying giant platforms. Eventually, the enshittification will chase every user off these platforms – not just kids or sex-workers or political radicals. When that happens, it sure would be nice if everyone could set up in a dark corner of their own.

Name your price for 18 of my DRM-free ebooks and support the Electronic Frontier Foundation with the Humble Cory Doctorow Bundle.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/03/23/evacuate-the-platforms/#let-the-platforms-burn

[dsabian]

Australia is planning on banning under 16s from using social media.

So so many reasons this is a stupid idea but the main one is actually, counter-intuitively, ppl's online safety.

Grown ups know how to cross the road safely because they are taught as children. They get to practice with parental supervision when they're kids.

You keep kids off social media then give them unlimited access at 16 and they'll have no frame of reference, no supervision, no working knowledge of how to fact check etc. If you actually want ppl to be safe online, make it part of education.

When discussing Animal Farm in English, talk about how to analyse ideas that sound good but actually result in inequality in practice and then pull up some questionable tweets.

When teaching kids how to research for their next essay, give them a fb rant and show them how to verify the info.

And then whoever is teaching them about personal responsibility should introduce them to tag blocking on tumblr. Show them how to curate their own experience.

Chat gtp should be its own module titled "ai can and will lie to you please for the love of god learn to think for yourself"

[tenspontaneite]

Sigs make interesting bodies for themselves sometimes 🙏

[kirbyfigure]

˶ᵔ ᵕ ᵔ˶

[vgprintads]

'Xiāngjiāo Nǐ Gè Bālè: Super Ichi Boom'

[PC] [TAIWAN] [MAGAZINE] [2006]

In Taiwan, the phrase "xiāngjiāo nǐ gè bā lè", is a sort of pop culture reference turned meme that translates to "banana you guava." From what I can gather, the phrase is used when you want to curse but can't come up with the words to do so.

The phrase comes from the 1989 Hong Kong comedy film The Crazy Companies, which starred actor Stanley Fung in a supporting role as Niu Jingfan, an angry man who is advised to curb his swearing habit by replacing the obscenities with fruits: leading to his famous quote "banana, you guava!" The quote eventually entered the public lexicon, much to the actor's chagrin, who would have it quoted back to him on many occasions. He would later go one to discourage people from making the refence which he called "a bad swear word from a bad place, a bad screenwriter, a bad director, (and) a bad movie."

I think this is much more interesting than the advertised game, which looks like a Bomberman clone. Can't confirm if it was even released!

Source: Soft World Magazine, 6/15/2006 || Internet Archive; NashG

[outsideyourhousewithaknife]

You HAVE to love the moment after your phone dies and you are left hunched over the screen, your eyes deprived of the blue light to which they have grown accustomed, your mind deprived of the distraction from the horrors of your reality, to behold your own image (reverse Narcissus) in all its double-chinned, acne-scarred, chocolate-stained and cheeto-dusted glory, and horrified by who you have become, and you are full of guilt and (remorse) exhaustion, and you are (entirely, devastatingly) alone, and you blink, and you get up, and you (cry) (look in the mirror?) go plug in your phone and get some more cheetos

No, really, you have to love it. It's the law.

[diamondmarimonialservices]

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[govindhtech]

Google Cloud’s BigQuery Autonomous Data To AI Platform

BigQuery automates data analysis, transformation, and insight generation using AI. AI and natural language interaction simplify difficult operations.

The fast-paced world needs data access and a real-time data activation flywheel. Artificial intelligence that integrates directly into the data environment and works with intelligent agents is emerging. These catalysts open doors and enable self-directed, rapid action, which is vital for success. This flywheel uses Google's Data & AI Cloud to activate data in real time. BigQuery has five times more organisations than the two leading cloud providers that just offer data science and data warehousing solutions due to this emphasis.

Examples of top companies:

With BigQuery, Radisson Hotel Group enhanced campaign productivity by 50% and revenue by over 20% by fine-tuning the Gemini model.

By connecting over 170 data sources with BigQuery, Gordon Food Service established a scalable, modern, AI-ready data architecture. This improved real-time response to critical business demands, enabled complete analytics, boosted client usage of their ordering systems, and offered staff rapid insights while cutting costs and boosting market share.

J.B. Hunt is revolutionising logistics for shippers and carriers by integrating Databricks into BigQuery.

General Mills saves over $100 million using BigQuery and Vertex AI to give workers secure access to LLMs for structured and unstructured data searches.

Google Cloud is unveiling many new features with its autonomous data to AI platform powered by BigQuery and Looker, a unified, trustworthy, and conversational BI platform:

New assistive and agentic experiences based on your trusted data and available through BigQuery and Looker will make data scientists, data engineers, analysts, and business users' jobs simpler and faster.

Advanced analytics and data science acceleration: Along with seamless integration with real-time and open-source technologies, BigQuery AI-assisted notebooks improve data science workflows and BigQuery AI Query Engine provides fresh insights.

Autonomous data foundation: BigQuery can collect, manage, and orchestrate any data with its new autonomous features, which include native support for unstructured data processing and open data formats like Iceberg.

Look at each change in detail.

User-specific agents

It believes everyone should have AI. BigQuery and Looker made AI-powered helpful experiences generally available, but Google Cloud now offers specialised agents for all data chores, such as:

Data engineering agents integrated with BigQuery pipelines help create data pipelines, convert and enhance data, discover anomalies, and automate metadata development. These agents provide trustworthy data and replace time-consuming and repetitive tasks, enhancing data team productivity. Data engineers traditionally spend hours cleaning, processing, and confirming data.

The data science agent in Google's Colab notebook enables model development at every step. Scalable training, intelligent model selection, automated feature engineering, and faster iteration are possible. This agent lets data science teams focus on complex methods rather than data and infrastructure.

Looker conversational analytics lets everyone utilise natural language with data. Expanded capabilities provided with DeepMind let all users understand the agent's actions and easily resolve misconceptions by undertaking advanced analysis and explaining its logic. Looker's semantic layer boosts accuracy by two-thirds. The agent understands business language like “revenue” and “segments” and can compute metrics in real time, ensuring trustworthy, accurate, and relevant results. An API for conversational analytics is also being introduced to help developers integrate it into processes and apps.

In the BigQuery autonomous data to AI platform, Google Cloud introduced the BigQuery knowledge engine to power assistive and agentic experiences. It models data associations, suggests business vocabulary words, and creates metadata instantaneously using Gemini's table descriptions, query histories, and schema connections. This knowledge engine grounds AI and agents in business context, enabling semantic search across BigQuery and AI-powered data insights.

All customers may access Gemini-powered agentic and assistive experiences in BigQuery and Looker without add-ons in the existing price model tiers!

Accelerating data science and advanced analytics

BigQuery autonomous data to AI platform is revolutionising data science and analytics by enabling new AI-driven data science experiences and engines to manage complex data and provide real-time analytics.

First, AI improves BigQuery notebooks. It adds intelligent SQL cells to your notebook that can merge data sources, comprehend data context, and make code-writing suggestions. It also uses native exploratory analysis and visualisation capabilities for data exploration and peer collaboration. Data scientists can also schedule analyses and update insights. Google Cloud also lets you construct laptop-driven, dynamic, user-friendly, interactive data apps to share insights across the organisation.

This enhanced notebook experience is complemented by the BigQuery AI query engine for AI-driven analytics. This engine lets data scientists easily manage organised and unstructured data and add real-world context—not simply retrieve it. BigQuery AI co-processes SQL and Gemini, adding runtime verbal comprehension, reasoning skills, and real-world knowledge. Their new engine processes unstructured photographs and matches them to your product catalogue. This engine supports several use cases, including model enhancement, sophisticated segmentation, and new insights.

Additionally, it provides users with the most cloud-optimized open-source environment. Google Cloud for Apache Kafka enables real-time data pipelines for event sourcing, model scoring, communications, and analytics in BigQuery for serverless Apache Spark execution. Customers have almost doubled their serverless Spark use in the last year, and Google Cloud has upgraded this engine to handle data 2.7 times faster.

BigQuery lets data scientists utilise SQL, Spark, or foundation models on Google's serverless and scalable architecture to innovate faster without the challenges of traditional infrastructure.

An independent data foundation throughout data lifetime

An independent data foundation created for modern data complexity supports its advanced analytics engines and specialised agents. BigQuery is transforming the environment by making unstructured data first-class citizens. New platform features, such as orchestration for a variety of data workloads, autonomous and invisible governance, and open formats for flexibility, ensure that your data is always ready for data science or artificial intelligence issues. It does this while giving the best cost and decreasing operational overhead.

For many companies, unstructured data is their biggest untapped potential. Even while structured data provides analytical avenues, unique ideas in text, audio, video, and photographs are often underutilised and discovered in siloed systems. BigQuery instantly tackles this issue by making unstructured data a first-class citizen using multimodal tables (preview), which integrate structured data with rich, complex data types for unified querying and storage.

Google Cloud's expanded BigQuery governance enables data stewards and professionals a single perspective to manage discovery, classification, curation, quality, usage, and sharing, including automatic cataloguing and metadata production, to efficiently manage this large data estate. BigQuery continuous queries use SQL to analyse and act on streaming data regardless of format, ensuring timely insights from all your data streams.

Customers utilise Google's AI models in BigQuery for multimodal analysis 16 times more than last year, driven by advanced support for structured and unstructured multimodal data. BigQuery with Vertex AI are 8–16 times cheaper than independent data warehouse and AI solutions.

Google Cloud maintains open ecology. BigQuery tables for Apache Iceberg combine BigQuery's performance and integrated capabilities with the flexibility of an open data lakehouse to link Iceberg data to SQL, Spark, AI, and third-party engines in an open and interoperable fashion. This service provides adaptive and autonomous table management, high-performance streaming, auto-AI-generated insights, practically infinite serverless scalability, and improved governance. Cloud storage enables fail-safe features and centralised fine-grained access control management in their managed solution.

Finaly, AI platform autonomous data optimises. Scaling resources, managing workloads, and ensuring cost-effectiveness are its competencies. The new BigQuery spend commit unifies spending throughout BigQuery platform and allows flexibility in shifting spend across streaming, governance, data processing engines, and more, making purchase easier.

Start your data and AI adventure with BigQuery data migration. Google Cloud wants to know how you innovate with data.

[teachanarchy]

Technofeudalism Is Here—And You’re Already Trapped Inside It

[techflye4]

How can AI tools change the way the church functions?

Have you wondered if churches could use AI to improve their function? Churches traditionally offer Sunday masses and prayer sessions in their prayer halls, but recently, that has changed. Churches have become digital, and services are getting live-streamed. AI has revolutionized the church by providing them a mode to connect with the congregation members and bring in new members.

AI is helping the church to create new strategies, find creative ways to reach the community, and foster growth. Although AI cannot replace human warmth and passion, it has shown the potential to be a powerful tool to manage and optimize various administrative works.

The AI church platform offers various tools to help your church communicate and post updates of upcoming events and announcements both internally and externally. Let’s discuss some tools that churches can use.

AI-powered tools and their function:

AI chat:

It is a tool that is designed to enhance the way church members and staff interact with each other. AI chat is designed to be user-friendly and can communicate documents such as event notifications, policy manuals, minutes of meetings, etc. It facilitates quick, short communication between users. Key features of an AI file chat are:

Content rewriting and enhancement features

Effortless uploads and Editing features

Secure document handling

Worship planner:

This includes tools that can help your church plan things for events such as a Sunday mass by planning worship songs, managing sermons, and selecting scripture and other church announcements. Key features of the tools are

Capacity to sync with devices during live performance

Instantly upload and manage song

Seamlessly planning among the members.

AI brand voice:

Creating a brand voice will allow you to set a distinct benchmark for your church. It allows your church to align its messages to different target audiences for maximum resonance. You can also easily modify the voice or change the language to match the content and audience. Key features include:

Multiple brand profiles suit the needs of the audience.

User-friendly customization

Database management:

A church is made up of its community, and those are the people who visit to volunteer, worship, and donate. Having a record and contact information of the people who contribute to the service can greatly benefit the community when in need.

Advertising and social media management:

Using a social media platform to communicate your services and promote your church can be an efficient way to bring in new people and network with outside communities. Using an AI tool to post on multiple platforms and manage interactions can give a big boost to your church. It allows

Allows you to easily manage multiple social media platforms

Instant posting across multiple platforms.

Conclusion

Earlier, a pastor or church leader had to perform all the works of the ministry by themselves, giving them limited time to devote their efforts to creating stronger connections in the community. With new AI tools, the church has the opportunity to automate most of the routine work to engage with the congregants on a deeper level.

By introducing AI church solutions, the experience of churchgoers can be significantly enhanced. An online church presence can allow members to view announcements, programs, prayer, and worship sessions apart from church timings. If you want to learn about the different AI services available to your church, you may visit the AI Church Assistant.

For more details visit our website https://www.aichurchassistant.com/ 

[gremlinbehaviour]

why are there so many apps

[atcuality3]

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[mohamed080]

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[nahian96]

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