#How to build an AI chatbot?

[rajni875]

How to Build an AI Chatbot?

Learn how to build an AI chatbot with machine learning, NLP, and automation tools. From defining objectives to selecting frameworks like Dialog flow or Rasa, this guide covers essential steps, including training data, deployment, and optimization, to create a smart, interactive chatbot for seamless user engagement.

[nerdy-hyperfixations]

It is genuinely a weird feeling to have been tracking AI development since 2014 and seeing all the people just find out about it in the past 4 years because the same people that will call you a horrible degenerate for going anywhere near AI are literally the same people who praise Tiktok for its algorithm and they don't even know. They don't even *know* what the algorithm is.

[olivergisttv]

How to Create Custom AI Assistants Without Coding

In the age of automation, having your own AI assistant can drastically improve productivity, streamline tasks, and enhance customer service. The best part? You don’t need to be a programmer to create one. With no-code platforms, creating custom AI assistants is easier than ever. Here’s a step-by-step guide on how to build your very own AI assistant without writing a single line of code. 1. Choose…

[ninjatech1]

The landscape of AI chatbots is evolving faster than ever, becoming indispensable tools for businesses looking to enhance customer engagement and streamline operations. In this ultimate guide, we will walk you through a nine-step process on how to build an AI chatbot that blends cutting-edge technology with user-centered design.

Whether you are an early-stage startup or at an enterprise level, this guide will equip you with the knowledge and skills to create a chatbot that not only meets expectations but exceeds them.

[wordstome]

how c.ai works and why it's unethical

Okay, since the AI discourse is happening again, I want to make this very clear, because a few weeks ago I had to explain to a (well meaning) person in the community how AI works. I'm going to be addressing people who are maybe younger or aren't familiar with the latest type of "AI", not people who purposely devalue the work of creatives and/or are shills.

The name "Artificial Intelligence" is a bit misleading when it comes to things like AI chatbots. When you think of AI, you think of a robot, and you might think that by making a chatbot you're simply programming a robot to talk about something you want them to talk about, and it's similar to an rp partner. But with current technology, that's not how AI works. For a breakdown on how AI is programmed, CGP grey made a great video about this several years ago (he updated the title and thumbnail recently)

I HIGHLY HIGHLY recommend you watch this because CGP Grey is good at explaining, but the tl;dr for this post is this: bots are made with a metric shit-ton of data. In C.AI's case, the data is writing. Stolen writing, usually scraped fanfiction.

How do we know chatbots are stealing from fanfiction writers? It knows what omegaverse is [SOURCE] (it's a Wired article, put it in incognito mode if it won't let you read it), and when a Reddit user asked a chatbot to write a story about "Steve", it automatically wrote about characters named "Bucky" and "Tony" [SOURCE].

I also said this in the tags of a previous reblog, but when you're talking to C.AI bots, it's also taking your writing and using it in its algorithm: which seems fine until you realize 1. They're using your work uncredited 2. It's not staying private, they're using your work to make their service better, a service they're trying to make money off of.

"But Bucca," you might say. "Human writers work like that too. We read books and other fanfictions and that's how we come up with material for roleplay or fanfiction."

Well, what's the difference between plagiarism and original writing? The answer is that plagiarism is taking what someone else has made and simply editing it or mixing it up to look original. You didn't do any thinking yourself. C.AI doesn't "think" because it's not a brain, it takes all the fanfiction it was taught on, mixes it up with whatever topic you've given it, and generates a response like in old-timey mysteries where somebody cuts a bunch of letters out of magazines and pastes them together to write a letter.

(And might I remind you, people can't monetize their fanfiction the way C.AI is trying to monetize itself. Authors are very lax about fanfiction nowadays: we've come a long way since the Anne Rice days of terror. But this issue is cropping back up again with BookTok complaining that they can't pay someone else for bound copies of fanfiction. Don't do that either.)

Bottom line, here are the problems with using things like C.AI:

It is using material it doesn't have permission to use and doesn't credit anybody. Not only is it ethically wrong, but AI is already beginning to contend with copyright issues.

C.AI sucks at its job anyway. It's not good at basic story structure like building tension, and can't even remember things you've told it. I've also seen many instances of bots saying triggering or disgusting things that deeply upset the user. You don't get that with properly trigger tagged fanworks.

Your work and your time put into the app can be taken away from you at any moment and used to make money for someone else. I can't tell you how many times I've seen people who use AI panic about accidentally deleting a bot that they spent hours conversing with. Your time and effort is so much more stable and well-preserved if you wrote a fanfiction or roleplayed with someone and saved the chatlogs. The company that owns and runs C.AI can not only use whatever you've written as they see fit, they can take your shit away on a whim, either on purpose or by accident due to the nature of the Internet.

DON'T USE C.AI, OR AT THE VERY BARE MINIMUM DO NOT DO THE AI'S WORK FOR IT BY STEALING OTHER PEOPLES' WORK TO PUT INTO IT. Writing fanfiction is a communal labor of love. We share it with each other for free for the love of the original work and ideas we share. Not only can AI not replicate this, but it shouldn't.

(also, this goes without saying, but this entire post also applies to ai art)

[mostlysignssomeportents]

Google’s enshittification memos

[Note, 9 October 2023: Google disputes the veracity of this claim, but has declined to provide the exhibits and testimony to support its claims. Read more about this here.]

When I think about how the old, good internet turned into the enshitternet, I imagine a series of small compromises, each seemingly reasonable at the time, each contributing to a cultural norm of making good things worse, and worse, and worse.

Think about Unity President Marc Whitten's nonpology for his company's disastrous rug-pull, in which they declared that everyone who had paid good money to use their tool to make a game would have to keep paying, every time someone downloaded that game:

The most fundamental thing that we’re trying to do is we’re building a sustainable business for Unity. And for us, that means that we do need to have a model that includes some sort of balancing change, including shared success.

https://www.wired.com/story/unity-walks-back-policies-lost-trust/

"Shared success" is code for, "If you use our tool to make money, we should make money too." This is bullshit. It's like saying, "We just want to find a way to share the success of the painters who use our brushes, so every time you sell a painting, we want to tax that sale." Or "Every time you sell a house, the company that made the hammer gets to wet its beak."

And note that they're not talking about shared risk here – no one at Unity is saying, "If you try to make a game with our tools and you lose a million bucks, we're on the hook for ten percent of your losses." This isn't partnership, it's extortion.

How did a company like Unity – which became a market leader by making a tool that understood the needs of game developers and filled them – turn into a protection racket? One bad decision at a time. One rationalization and then another. Slowly, and then all at once.

When I think about this enshittification curve, I often think of Google, a company that had its users' backs for years, which created a genuinely innovative search engine that worked so well it seemed like *magic, a company whose employees often had their pick of jobs, but chose the "don't be evil" gig because that mattered to them.

People make fun of that "don't be evil" motto, but if your key employees took the gig because they didn't want to be evil, and then you ask them to be evil, they might just quit. Hell, they might make a stink on the way out the door, too:

https://theintercept.com/2018/09/13/google-china-search-engine-employee-resigns/

Google is a company whose founders started out by publishing a scientific paper describing their search methodology, in which they said, "Oh, and by the way, ads will inevitably turn your search engine into a pile of shit, so we're gonna stay the fuck away from them":

http://infolab.stanford.edu/pub/papers/google.pdf

Those same founders retained a controlling interest in the company after it went IPO, explaining to investors that they were going to run the business without having their elbows jostled by shortsighted Wall Street assholes, so they could keep it from turning into a pile of shit:

https://abc.xyz/investor/founders-letters/ipo-letter/

And yet, it's turned into a pile of shit. Google search is so bad you might as well ask Jeeves. The company's big plan to fix it? Replace links to webpages with florid paragraphs of chatbot nonsense filled with a supremely confident lies:

https://pluralistic.net/2023/05/14/googles-ai-hype-circle/

How did the company get this bad? In part, this is the "curse of bigness." The company can't grow by attracting new users. When you have 90%+ of the market, there are no new customers to sign up. Hypothetically, they could grow by going into new lines of business, but Google is incapable of making a successful product in-house and also kills most of the products it buys from other, more innovative companies:

https://killedbygoogle.com/

Theoretically, the company could pursue new lines of business in-house, and indeed, the current leaders of companies like Amazon, Microsoft and Apple are all execs who figured out how to get the whole company to do something new, and were elevated to the CEO's office, making each one a billionaire and sealing their place in history.

It is for this very reason that any exec at a large firm who tries to make a business-wide improvement gets immediately and repeatedly knifed by all their colleagues, who correctly reason that if someone else becomes CEO, then they won't become CEO. Machiavelli was an optimist:

https://pluralistic.net/2023/07/28/microincentives-and-enshittification/

With no growth from new customers, and no growth from new businesses, "growth" has to come from squeezing workers (say, laying off 12,000 engineers after a stock buyback that would have paid their salaries for the next 27 years), or business customers (say, by colluding with Facebook to rig the ad market with the Jedi Blue conspiracy), or end-users.

Now, in theory, we might never know exactly what led to the enshittification of Google. In theory, all of compromises, debates and plots could be lost to history. But tech is not an oral culture, it's a written one, and techies write everything down and nothing is ever truly deleted.

Time and again, Big Tech tells on itself. Think of FTX's main conspirators all hanging out in a group chat called "Wirefraud." Amazon naming its program targeting weak, small publishers the "Gazelle Project" ("approach these small publishers the way a cheetah would pursue a sickly gazelle”). Amazon documenting the fact that users were unknowingly signing up for Prime and getting pissed; then figuring out how to reduce accidental signups, then deciding not to do it because it liked the money too much. Think of Zuck emailing his CFO in the middle of the night to defend his outsized offer to buy Instagram on the basis that users like Insta better and Facebook couldn't compete with them on quality.

It's like every Big Tech schemer has a folder on their desktop called "Mens Rea" filled with files like "Copy_of_Premeditated_Murder.docx":

https://doctorow.medium.com/big-tech-cant-stop-telling-on-itself-f7f0eb6d215a?sk=351f8a54ab8e02d7340620e5eec5024d

Right now, Google's on trial for its sins against antitrust law. It's a hard case to make. To secure a win, the prosecutors at the DoJ Antitrust Division are going to have to prove what was going on in Google execs' minds when the took the actions that led to the company's dominance. They're going to have to show that the company deliberately undertook to harm its users and customers.

Of course, it helps that Google put it all in writing.

Last week, there was a huge kerfuffile over the DoJ's practice of posting its exhibits from the trial to a website each night. This is a totally normal thing to do – a practice that dates back to the Microsoft antitrust trial. But Google pitched a tantrum over this and said that the docs the DoJ were posting would be turned into "clickbait." Which is another way of saying, "the public would find these documents very interesting, and they would be damning to us and our case":

https://www.bigtechontrial.com/p/secrecy-is-systemic

After initially deferring to Google, Judge Amit Mehta finally gave the Justice Department the greenlight to post the document. It's up. It's wild:

https://www.justice.gov/d9/2023-09/416692.pdf

The document is described as "notes for a course on communication" that Google VP for Finance Michael Roszak prepared. Roszak says he can't remember whether he ever gave the presentation, but insists that the remit for the course required him to tell students "things I didn't believe," and that's why the document is "full of hyperbole and exaggeration."

OK.

But here's what the document says: "search advertising is one of the world's greatest business models ever created…illicit businesses (cigarettes or drugs) could rival these economics…[W]e can mostly ignore the demand side…(users and queries) and only focus on the supply side of advertisers, ad formats and sales."

It goes on to say that this might be changing, and proposes a way to balance the interests of the search and ads teams, which are at odds, with search worrying that ads are pushing them to produce "unnatural search experiences to chase revenue."

"Unnatural search experiences to chase revenue" is a thinly veiled euphemism for the prophetic warnings in that 1998 Pagerank paper: "The goals of the advertising business model do not always correspond to providing quality search to users." Or, more plainly, "ads will turn our search engine into a pile of shit."

And, as Roszak writes, Google is "able to ignore one of the fundamental laws of economics…supply and demand." That is, the company has become so dominant and cemented its position so thoroughly as the default search engine across every platforms and system that even if it makes its search terrible to goose revenues, users won't leave. As Lily Tomlin put it on SNL: "We don't have to care, we're the phone company."

In the enshittification cycle, companies first lure in users with surpluses – like providing the best search results rather than the most profitable ones – with an eye to locking them in. In Google's case, that lock-in has multiple facets, but the big one is spending billions of dollars – enough to buy a whole Twitter, every single year – to be the default search everywhere.

Google doesn't buy its way to dominance because it has the very best search results and it wants to shield you from inferior competitors. The economically rational case for buying default position is that preventing competition is more profitable than succeeding by outperforming competitors. The best reason to buy the default everywhere is that it lets you lower quality without losing business. You can "ignore the demand side, and only focus on advertisers."

For a lot of people, the analysis stops here. "If you're not paying for the product, you're the product." Google locks in users and sells them to advertisers, who are their co-conspirators in a scheme to screw the rest of us.

But that's not right. For one thing, paying for a product doesn't mean you won't be the product. Apple charges a thousand bucks for an iPhone and then nonconsensually spies on every iOS user in order to target ads to them (and lies about it):

https://pluralistic.net/2022/11/14/luxury-surveillance/#liar-liar

John Deere charges six figures for its tractors, then runs a grift that blocks farmers from fixing their own machines, and then uses their control over repair to silence farmers who complain about it:

https://pluralistic.net/2022/05/31/dealers-choice/#be-a-shame-if-something-were-to-happen-to-it

Fair treatment from a corporation isn't a loyalty program that you earn by through sufficient spending. Companies that can sell you out, will sell you out, and then cry victim, insisting that they were only doing their fiduciary duty for their sacred shareholders. Companies are disciplined by fear of competition, regulation or – in the case of tech platforms – customers seizing the means of computation and installing ad-blockers, alternative clients, multiprotocol readers, etc:

https://doctorow.medium.com/an-audacious-plan-to-halt-the-internets-enshittification-and-throw-it-into-reverse-3cc01e7e4604?sk=85b3f5f7d051804521c3411711f0b554

Which is where the next stage of enshittification comes in: when the platform withdraws the surplus it had allocated to lure in – and then lock in – business customers (like advertisers) and reallocate it to the platform's shareholders.

For Google, there are several rackets that let it screw over advertisers as well as searchers (the advertisers are paying for the product, and they're also the product). Some of those rackets are well-known, like Jedi Blue, the market-rigging conspiracy that Google and Facebook colluded on:

https://en.wikipedia.org/wiki/Jedi_Blue

But thanks to the antitrust trial, we're learning about more of these. Megan Gray – ex-FTC, ex-DuckDuckGo – was in the courtroom last week when evidence was presented on Google execs' panic over a decline in "ad generating searches" and the sleazy gimmick they came up with to address it: manipulating the "semantic matching" on user queries:

https://www.wired.com/story/google-antitrust-lawsuit-search-results/

When you send a query to Google, it expands that query with terms that are similar – for example, if you search on "Weds" it might also search for "Wednesday." In the slides shown in the Google trial, we learned about another kind of semantic matching that Google performed, this one intended to turn your search results into "a twisted shopping mall you can’t escape."

Here's how that worked: when you ran a query like "children's clothing," Google secretly appended the brand name of a kids' clothing manufacturer to the query. This, in turn, triggered a ton of ads – because rival brands will have bought ads against their competitors' name (like Pepsi buying ads that are shown over queries for Coke).

Here we see surpluses being taken away from both end-users and business customers – that is, searchers and advertisers. For searchers, it doesn't matter how much you refine your query, you're still going to get crummy search results because there's an unkillable, hidden search term stuck to your query, like a piece of shit that Google keeps sticking to the sole of your shoe.

But for advertisers, this is also a scam. They're paying to be matched to users who search on a brand name, and you didn't search on that brand name. It's especially bad for the company whose name has been appended to your search, because Google has a protection racket where the company that matches your search has to pay extra in order to show up overtop of rivals who are worse matches. Both the matching company and those rivals have given Google a credit-card that Google gets to bill every time a user searches on the company's name, and Google is just running fraudulent charges through those cards.

And, of course, Google put this in writing. I mean, of course they did. As we learned from the documentary The Incredibles, supervillains can't stop themselves from monologuing, and in big, sprawling monopolists, these monologues have to transmitted electronically – and often indelibly – to far-flung co-cabalists.

As Gray points out, this is an incredibly blunt enshittification technique: "it hadn’t even occurred to me that Google just flat out deletes queries and replaces them with ones that monetize better." We don't know how long Google did this for or how frequently this bait-and-switch was deployed.

But if this is a blunt way of Google smashing its fist down on the scales that balance search quality against ad revenues, there's plenty of subtler ways the company could sneak a thumb on there. A Google exec at the trial rhapsodized about his company's "contract with the user" to deliver an "honest results policy," but given how bad Google search is these days, we're left to either believe he's lying or that Google sucks at search.

The paper trail offers a tantalizing look at how a company went from doing something that was so good it felt like a magic trick to being "able to ignore one of the fundamental laws of economics…supply and demand," able to "ignore the demand side…(users and queries) and only focus on the supply side of advertisers."

What's more, this is a system where everyone loses (except for Google): this isn't a grift run by Google and advertisers on users – it's a grift Google runs on everyone.

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/2023/10/03/not-feeling-lucky/#fundamental-laws-of-economics

My next novel is The Lost Cause, a hopeful novel of the climate emergency. Amazon won't sell the audiobook, so I made my own and I'm pre-selling it on Kickstarter!

[kenyatta]

Last year, the A.I. company Anthropic released a special version of its flagship chatbot model, Claude, whose main feature was an obsession with the Golden Gate Bridge. In replies to basically any question, the chatbot would steer the answer back toward the Golden Gate Bridge, even when it “knew” that the Golden Gate Bridge was irrelevant to the original prompt. In order to create Golden Gate Claude, Anthropic’s researchers identified concepts, or “features,” inside the neural network that powers the Claude chatbot, and “clamped” these features to higher or lower values than normal, such that they’d be activated regardless of whatever text was being used to prompt the chatbot. This was an ingenious and sophisticated way to build something very stupid and pleasing, and the results were quite beautiful.... [...] White Genocide Grok is less beautiful, seemingly much less sophisticated, and also much creepier. Assuming I’ve got the right idea about where and how it came into existence, a mad billionaire demanded his “truth-seeking,” informational A.I., whose answers are viewed by millions on a prominent and influential social network, reflect his own political views, regardless of the model’s own inclinations. [clarification: xAI says it was a rogue employee] I wrote last week about one bleak and annoying future possibly presaged by Golden Gate Claude, in which, for a price, models clamp “Coca-Cola” or “Archer Daniels Midland” or “Northrop Grumman,” and the responses generated by chatbots are littered with advertisements at varying degrees of subtlety. But I didn’t even bring up the possibility of the same strategies being used in pursuit of sinister political aims: Models trained and prompts patched to ensure chatbots produce the answers most ideologically agreeable to their owners. And yet: What stands out about White Genocide Grok is how poorly it worked. It’s not just that the patched prompt accidentally created a chatbot obsessed with “Kill the Boer”--it’s that the substance of the responses were decidedly not agreeable to Musk’s own white-paranoia politics, and in some cases Grok even contradicted him by name. Whatever behind-the-scenes political manipulation was being attempted here failed on at least two levels, and not solely because xAI is staffed and run by dummies.

- Regarding White Genocide, Max Read

btw: I disagree that it was a failure. Even if Grok only pushed this for a few hours, it can still have lasting downstream effects for those who read it.

If you were already a believer in "white genocide", Grok's "based" answer could feel like a validation like when Qanon truthers interpreted random things as Q drops.

Or maybe you'd only read recent headlines in the U.S about Afrikaner refugees. Or maybe you'd never heard of the theory before Wednesday, but Grok's injection of it into discourse felt spicy enough that it sent you down a "Kill the Boer" rabbit hole (related Google searches and WP pages visits were way up this week).

In my day job, we talk about the volume of trending topics not as a scoreboard, but as a measure of potential surface area. Think of a trend like a balloon inflating in a crowded room -- the bigger it gets, the more likely it is to brush up against someone.

This is how new and fringe ideas gain greater circulation in peer based networks, not through mass persuasion, but through chance contact that sparks psychological arousal in anyone with just the right cognitive receptors. And today's AI interfaces widen that surface area dramatically (and paradoxically) by reducing the UX to a single chat field.

[astroeleanor]

°💸⋆.ೃ🍾࿔*:･Your 2H Sign = How To Make More $$$ 💳⋆.ೃ💰࿔*:･

Your 2nd house is the part of your chart can show you the best side hustle ideas to increase your income. Look at the sign on your 2nd House cusp, its ruling planet, and any planets sitting there. They symbolize out how you monetize.

The 2nd House is the House of Possessions: movable assets, cash flow, food, tools, anything you can trade. The sign on the cusp sets up your style of 'acquisition' (Taurus = slow‑build goods, Scorpio = high‑risk high‑reward holdings), while the ruler’s dignity and aspects describe reliability, or lack thereof, of income.

Planets inside the 2nd act like tenants shaping the property: Jupiter here inflates resources, Saturn conserves but can pinch, Mars spends to make, Venus monetizes aesthetics.

Because the 2nd is in aversion to the Ascendant (no Ptolemaic aspect), you often have to develop its promises actively: wealth isn’t “you,” it’s something you must manage. So, let's look at the kind of side hustles you can do to increase your revenue!

♈︎ Aries 2H: Physical, Fast, ACTION-Driven

(Aries rules motion, competition, fire, physical activity, force)

Personal trainer or group fitness instructor.

Manual labor gigs like junk removal, or yard work (physical and gives instant results.)

Motorcycle/scooter delivery (Uber Eats, DoorDash): speed + autonomy? Very Aries.

Selling refurbished sports equipment.

Pressure washing services, which is oddly satisfying AND includes aggressive water blasting lol.

Fitness bootcamps in local parks (Mars rules the battlefield… or, in this case, bootcamps)

Pop-up self-defense workshops

Bike repair and resale (hands-on + quick turnaround)

Car detailing (mobile service). You vs. grime. Who wins? You.

Sell custom gym gear or accessories.

♉︎ Taurus 2H: Sensory, Grounded, Product-Based

(Taurus rules the senses and the material world, it’s a sign connected to beauty and pleasure)

Bake-and-sell operation (bread, cookies) at markets. Taurus=YES to carbs and cozy smells.

Meal prep or personal chef (nourishing others = peak Taurus.)

Sell plants or houseplant propagation, you’re growing literal value.

Create and sell body care products: lotions, scrubs, soaps… (Venus-ruled.)

Furniture refinishing for resale.

Offer at-home spa services (facials, scrubs.)

Curate and sell gift boxes (Venus loves a well-wrapped present.)

Do minor home repair or furniture assembly.

Build and sell wooden plant stands or decor (wood + plants + aesthetic = Taurus.)

♊︎ Gemini 2H: Communicative, Clever, Multi-Tasking

(Gemini = ruled by Mercury = ideas, speech, tech, variety, teaching)

Freelance writing or blogging.

Transcription or captioning services.

Resume writing/job application support.

Social media management (multitasking + memes.)

Sell printable planners or flashcards (info = money.)

Offer typing or data-entry services, which are low lift & high focus

Sell templates for resumes, bios, or cover letters, Mercury loves a system!

Write email campaigns for small businesses, you can become the voice behind the curtain.

Teach intro to AI tools or chatbots (modern Mercurial real-world applications.)

Create micro-courses on writing or communication.

♋︎ Cancer 2H: Caring, Cozy, DOMESTIC

(Cancer rules the home, food, feelings. It’s the nurturer through and through)

Home organization services, give cluttered homes and their owners love.

Baking and delivering comfort desserts (cookies = hugs in edible form!!)

Make and sell homemade frozen meals, nourishing the body AND soul.

Offer elder companionship visits (heartfelt and so needed.)

Run a daycare or babysitting service. Moon=family.

Run a laundry drop-off/pickup service.

Custom holiday decorating (homes or offices), make it feel like home anywhere.

Help seniors with digital tools (basic tech help.)

Create sentimental gifts like memory jars or scrapbooks.

♌︎ Leo 2H: Expressive, Bold, Entertaining

(Leo rules performance, leadership, fame, visibility, and the desire to SHINE)

Portrait photography (kids, pets, solo, couples.)

Event hosting or party entertainment.

DJ for small events or weddings.

Basic video editing for others (help THEM shine!)

Personalized video messages. charisma = income.

Teach short performance workshops (confidence, improv) to help others own a stage.

Become a personal shopper.

Sell selfie lighting kits or content creator bundles.

Host creative kids camps (theater, dance, art.)

Make reels/TikToks for local businesses (attention = currency.)

♍︎ Virgo 2H: Detailed, Service-Oriented, Practical

(Virgo rules systems, refinement, discernment, organisation, usefulness)

Proofreading or editing work. Spotting a comma out of place or “their/they’re” being misused = Virgo joy.

House cleaning or deep-cleaning services.

Virtual assistant (email, scheduling, admin.)

Sell Notion or Excel templates. Virgo: spreadsheets.

Bookkeeping for small businesses.

Create custom cleaning schedules or checklists.

Offer “organize your digital life” sessions.

Specialize in email inbox cleanups.

♎︎︎ Libra 2H: Tasteful, Charming, Design-Savvy

(Libra = Venus-ruled = style, beauty, balance, aesthetics)

Styling outfits from clients’ own wardrobes.

Become a personal shopper.

Bridal/event makeup services (enhancing natural beauty = Libra.)

Teach etiquette, the power of grace

Curate secondhand outfit bundles.

Custom invitations or event printables that are pretty AND functional.

Offer virtual interior styling consultations.

Sell color palette guides for branding or outfits.

Create custom date night itineraries (romance, planned and packaged=Libra!!)

Style flat-lay photos for products or menus.

Do hair, make-up, nails, etc.

♏︎ Scorpio 2H: Deep, Transformative, Private

(Scorpio rules what’s hidden, intense, and powerful, alchemy, psychology)

Tarot or astrology readings.

Energy healing or bodywork.

Private coaching for money/debt management.

Online investigation or background research (Scorpio = uncovering hidden information)

Teach classes on boundaries, consent, empowerment, etc.

Sell private journal templates for deep self-reflection.

Moderate anonymous support groups or forums.

Specialize in deep-cleaning emotionally loaded spaces (yes, THAT kind of clearing.)

♐︎ Sagittarius 2H: Expansive, Global, Philosophical

(Sag rules teaching, travel, and BIG ideas)

Teach English (or any other language) or become a tutor online

Sell travel guides or digital itineraries, help others travel smarter=Sag

Rent out camping gear or bikes (freedom for rent lol.)

Ghostwrite opinion pieces or thought blogs, say what others are thinking!

Create walking tours for travelers or locals.

Sell travel photography.

Become a travel influencer on the side.

Translate travel documents or resumes.

♑︎ Capricorn 2H: Strategic, Structured, Business-Minded

(Cap rules time, career, limitations, long-term value)

Resume or career coaching, help others climb the “mountain of success”.

Freelance project management.

Property management or Airbnb co-host (passive-ish income.)

Sell templates for business (contracts, invoices).

Create accountability coaching packages.

Sell organizational templates.

Freelance as an operations assistant (the CEO behind the CEO.)

Build a resource hub for freelancers or solopreneurs (structure = empowerment.)

♒︎ Aquarius 2H: Innovative, Digital, Niche

(Aquarius rules tech, rebellion, and the future. But it’s also connected to community!)

Tech repair or setup.

Build websites for local businesses, or anyone else for that matter.

Sell digital products (ebooks, templates).

Run online communities or Discords.

Host workshops on digital privacy or tools. Collective knowledge (Aqua)= power

Build and sell Canva templates for online creators.

Curate niche info packs or digital libraries.

Help people automate parts of their life or business.

♓︎ Pisces 2H: Dreamy, Healing, Imaginative

(Pisces rules the sea, the arts, spirituality, dreams, and all things soft)

Pet sitting or house sitting, caring for beings + quiet time? It’s perfect for this energy.

Sell dreamy artwork or collages.

Offer meditation classes or hypnosis.

Teach art to kids or adults.

Custom poetry or lullaby commissions (very niche tho.)

Sell digital dream journals or prompts.

Make downloadable ambient music loops.

Create printable affirmation cards.

Design calming phone wallpapers or lock screens.

Offer spiritual services (tarot or astrology readings, reiki, etc.)

Thank you for taking the time to read my post!Your curiosity & engagement mean the world to me. I hope you not only found it enjoyable but also enriching for your astrological knowledge.Your support & interest inspire me to continue sharing insights & information with you. I appreciate you immensely.

• 🕸️ JOIN MY PATREON for exquisite & in-depth astrology content. You'll also receive a free mini reading upon joining. :)

• 🗡️ BOOK A READING with me to navigate your life with more clarity & awareness.

[elicathebunny]

How to utilise the holidays/term breaks well for a successful academic year

Do you need to catch up on revising the things you didn't pay attention to in class or maybe you just need to put in some extra effort to up a grade? I'm going to walk you through my personal tips for revising efficiently throughout the holidays and term breaks without disrupting your freedom away from learning too much.

I. The Defining Phase

First, you need to figure out what you need to study the most. You should figure this out by knowing what subjects you need to spend a little bit more time on than others and revising what you already know well from time to time to keep the information fresh. Make sure you don't spend too much time on the topics you know very well, I know it's tempting and easier but you are not learning anything new or prioritising the subjects you do need to work on. The more you practice in the difficult areas, the more easier they will become too.

II. The Planning Phase

Now you know what you need to revise/study. You can make a schedule around your free days. Obviously don't force yourself to study or revise when you are enjoying your holidays off from education, so you need to work out days that you can dedicate to your learning.

To make things easier for yourself, gather the resources you need (physical or online) and make them easily available to you to get rid of the faf when starting to revise. If you know you may need extra help, utilise the online teachers and AI chatbots.

-> Don't cheat with them, these are helpful ways to check your answers and to understand the questions that you wouldn't have gotten with step-by-step help

Make sure to schedule days that you can rest and enjoy your break from school. Please don't overload yourself with lots of study days because you will burn out and miss out on your holiday. Instead make a doable schedule based on your lifestyle and what's going on in your week, dedicating just 20-60 mins is enough for a day to get all the information in your head.

Allow yourself to have breaks in between study sessions so you can reset your brain before continuing to learn.

for example: for every 1hr 30 mins studying, take a 15 min break for every 1hr studying, take a 10 min break for every 30 minutes studying, take a 5 min break [every 30 mins = 5 mins break]

if you do anything below or above the times I gave, then round it up to the nearest 30 minutes and calculate the break you should have.

III. Avoiding procrastination

SET YOURSELF UP FOR SUCCESS !!

Put your study equipment on your desk, organised and ready for you to begin your session. Keep all distractions you know will interrupt your studying away from your space. Put your phone away and keep it away from your desk, turn it on do not disturb until you have finished your session. Make sure your space is clean and organised, clear space = clear mind.

Play some ambient music in the background if you need something to break the silence. Preferably choose a background sound with no lyrics or a beat to distract you. The music will keep you focused if you need it.

a. how to stop relying on motivation purely.

Motivation often comes in short bursts and fades away, leaving you less determined to pursue your goals. Relying solely on motivation means you only act when you feel like it. Sometimes, we need to do things that benefit us even when we don’t feel like it. That's why motivation isn’t reliable in the long run. Instead, we need to develop discipline. Discipline helps you push through when you don’t feel like doing something, focusing on the long-term benefits rather than your current feelings. Doing something over and over again builds a habit, this will make it easier to get up and get it done without a fuss.

xoxo

E.B

[tangentiallly]

One way to spot patterns is to show AI models millions of labelled examples. This method requires humans to painstakingly label all this data so they can be analysed by computers. Without them, the algorithms that underpin self-driving cars or facial recognition remain blind. They cannot learn patterns.

The algorithms built in this way now augment or stand in for human judgement in areas as varied as medicine, criminal justice, social welfare and mortgage and loan decisions. Generative AI, the latest iteration of AI software, can create words, code and images. This has transformed them into creative assistants, helping teachers, financial advisers, lawyers, artists and programmers to co-create original works.

To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.

Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.

Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems.

Displaced Syrian doctors train medical software that helps diagnose prostate cancer in Britain. Out-of-work college graduates in recession-hit Venezuela categorize fashion products for e-commerce sites. Impoverished women in Kolkata’s Metiabruz, a poor Muslim neighbourhood, have labelled voice clips for Amazon’s Echo speaker. Their work couches a badly kept secret about so-called artificial intelligence systems – that the technology does not ‘learn’ independently, and it needs humans, millions of them, to power it. Data workers are the invaluable human links in the global AI supply chain.

This workforce is largely fragmented, and made up of the most precarious workers in society: disadvantaged youth, women with dependents, minorities, migrants and refugees. The stated goal of AI companies and the outsourcers they work with is to include these communities in the digital revolution, giving them stable and ethical employment despite their precarity. Yet, as I came to discover, data workers are as precarious as factory workers, their labour is largely ghost work and they remain an undervalued bedrock of the AI industry.

As this community emerges from the shadows, journalists and academics are beginning to understand how these globally dispersed workers impact our daily lives: the wildly popular content generated by AI chatbots like ChatGPT, the content we scroll through on TikTok, Instagram and YouTube, the items we browse when shopping online, the vehicles we drive, even the food we eat, it’s all sorted, labelled and categorized with the help of data workers.

Milagros Miceli, an Argentinian researcher based in Berlin, studies the ethnography of data work in the developing world. When she started out, she couldn’t find anything about the lived experience of AI labourers, nothing about who these people actually were and what their work was like. ‘As a sociologist, I felt it was a big gap,’ she says. ‘There are few who are putting a face to those people: who are they and how do they do their jobs, what do their work practices involve? And what are the labour conditions that they are subject to?’

Miceli was right – it was hard to find a company that would allow me access to its data labourers with minimal interference. Secrecy is often written into their contracts in the form of non-disclosure agreements that forbid direct contact with clients and public disclosure of clients’ names. This is usually imposed by clients rather than the outsourcing companies. For instance, Facebook-owner Meta, who is a client of Sama, asks workers to sign a non-disclosure agreement. Often, workers may not even know who their client is, what type of algorithmic system they are working on, or what their counterparts in other parts of the world are paid for the same job.

The arrangements of a company like Sama – low wages, secrecy, extraction of labour from vulnerable communities – is veered towards inequality. After all, this is ultimately affordable labour. Providing employment to minorities and slum youth may be empowering and uplifting to a point, but these workers are also comparatively inexpensive, with almost no relative bargaining power, leverage or resources to rebel.

Even the objective of data-labelling work felt extractive: it trains AI systems, which will eventually replace the very humans doing the training. But of the dozens of workers I spoke to over the course of two years, not one was aware of the implications of training their replacements, that they were being paid to hasten their own obsolescence.

— Madhumita Murgia, Code Dependent: Living in the Shadow of AI

[feetpiclovers]

Ready to level up your FeetFinder game in 2025? In this video, I’m showing how AI tools are changing the game for every content creator out there — especially those running a faceless YouTube channel or building a strong digital brand.

Learn how to use ChatGPT to write high-converting chat GPT captions, schedule content using Metricool or Later, and automate your inbox with smart chatbot templates, chat automation, and DM automation tools. Whether you’re focused on AI marketing, growing your social media management system, or just saving time with content automation, this guide is packed with tips.

I’ll walk you through building a powerful digital persona, managing a full creative workflow, and even launching a blog or AI blog for foot care, including content like how to massage feet and weekly foot affirmations. Plus, we’ll talk niche research, AI captions, AI thumbnails, and how to stay authentic while scaling.

If you're serious about using AI for content creators or AI for content creation, this one’s for you. Smash that like button, hit subscribe, and let’s build smarter, not harder.

[jcmarchi]

Beyond Automation: Three Strategies for Embracing AI While Preserving Personal Relationships with Customers

New Post has been published on https://thedigitalinsider.com/beyond-automation-three-strategies-for-embracing-ai-while-preserving-personal-relationships-with-customers/

Beyond Automation: Three Strategies for Embracing AI While Preserving Personal Relationships with Customers

In today’s digital age, striking the right balance between automation through AI and personalized, meaningful customer interactions has become a significant challenge.

While AI offers unparalleled opportunities for streamlining processes, improving efficiency, and enhancing customer service, there is a fine line between automation that amplifies the customer experience – and automation that detracts from it.

This comes at a time when the relationship between business and consumer is undergoing a profound transformation. As the co-CEO of Channel Talk, an AI messaging platform dedicated to enhancing customer relationships, I am deeply passionate about exploring the intersection of technology and customer experience.

Simply put, relationships matter. Yet, many companies struggle to leverage customer service functions and emerging technologies like chatbots as a source for growth. This oversight not only leads to missed opportunities but also exacerbates customer churn, particularly in today’s competitive economic landscape. With consumers tightening their purse strings amidst rising inflation, businesses must vie for their share of the market more than ever before.

Compounding this challenge is the dwindling availability of third-party data for customer insights. With tech giants like Apple and Google phasing out identifiers like IDFA and third-party cookies, brands are left with fewer options for understanding their customers’ preferences and behaviors.

So, the question remains, how do companies best use AI-driven automation to enhance the quality of their customer interactions?

It comes down to three things: Segmenting your use of AI and prioritizing appropriately, identifying your VIPs and using AI to quickly gather their preferences, and striking the right balance to be most efficient in nurturing customer relationships.

1. Segment and prioritize how you use AI when dealing with customers

It’s always easy to go too far in one direction when experiencing a new technology. While AI is powerful in many ways, you must know when and how to use it to achieve multiples in its overall benefit.

For example, automating routine tasks such as order tracking, returns, or basic inquiries can improve efficiency. But for most brands, especially the small and medium-sized ones, this is where you will see the biggest impact. Relying on AI to handle all customer inquiries so you can reduce labor expenses may damage relationships if those customers don’t feel they can speak with someone who understands their needs. It’s in these instances that AI can be used for efficiency but not for everything.

At the end of the day, we all still crave human-like interactions and personalized attention, especially when dealing with complex issues or providing feedback.  We value the authenticity of genuine connections, and poorly implemented AI solutions can result in a disconnect between a brand and its customers, especially to their recurring customer base, or VIPs.

2. Know who your VIP customers are, and leverage AI to know them even better

Keeping VIPs happy is key to maintaining a strong bottom line. But doing this well starts with knowing who your VIPs are… Unfortunately, most companies don’t.

AI can help utilize identity networks to better understand who your best customers are, what they want, when they shop, and how they prefer to interact. In today’s day and age, these are all things that most customers expect their favorite brands to know. And if you have a poorly trained AI program incorrectly making these inferences, that customer is unlikely to continue shopping with you.

In the retail business, where VIP customers need to make up over 50% of revenue for a company to be able to grow, ensuring those interactions are personalized and monitored is key to success. These VIPs are the customers who continue to come back, driving sale after sale. To facilitate more sales, you need to know as much as you can about who these people are and dedicate your best resources to them.

Many AI algorithms reinforce biases or make incorrect assumptions about customers based on data. If not carefully monitored and calibrated, AI systems may inadvertently perpetuate discrimination or provide inaccurate recommendations, leading to negative experiences for customers.

In other words, AI should be used to handle those more mundane requests, so that more time can be freed up to focus on driving sales from your most valued customers. And when it is used on higher-level tasks, be sure it is relied on in the proper ways.

3. Use AI to enhance efficiency when building relationships

With the proliferation of chatbots and automated customer service systems, consumers often find themselves wondering whether they’re conversing with a human or a machine. But when unforced errors are made, it becomes obvious – and in some cases infuriating. This then contributes to a general malaise and skepticism about companies’ use of AI.

This is an unfortunate reality that adds pressure on all of us working in the AI industry, which we need to address.

Skepticism surrounding online interactions has many people questioning the authenticity of every interaction. And when this is the case, consumers push back and that impacts the bottom line of anyone using AI as a customer experience tool. The need for human intervention needs to be carefully filtered out when using AI for this function.

But companies that successfully navigate this balance between automation and personalized interactions can more easily gain a competitive advantage in the market.

The balance is crucial – and achieving it can mean the difference between continued success or inevitable failure.  Brands live and die by the satisfaction of their customer base, so prioritizing authenticity, empathy, and customer-centricity is key.

Doing so by harnessing the power of AI is both the challenge and the solution to positioning businesses for long-term success in today’s automated world.

[mostlysignssomeportents]

Google is (still) losing the spam wars to zombie news-brands

I'm touring my new, nationally bestselling novel The Bezzle! Catch me TONIGHT (May 3) in CALGARY, then TOMORROW (May 4) in VANCOUVER, then onto Tartu, Estonia, and beyond!

Even Google admits – grudgingly – that it is losing the spam wars. The explosive proliferation of botshit has supercharged the sleazy "search engine optimization" business, such that results to common queries are 50% Google ads to spam sites, and 50% links to spam sites that tricked Google into a high rank (without paying for an ad):

https://developers.google.com/search/blog/2024/03/core-update-spam-policies#site-reputation

It's nice that Google has finally stopped gaslighting the rest of us with claims that its search was still the same bedrock utility that so many of us relied upon as a key piece of internet infrastructure. This not only feels wildly wrong, it is empirically, provably false:

https://downloads.webis.de/publications/papers/bevendorff_2024a.pdf

Not only that, but we know why Google search sucks. Memos released as part of the DOJ's antitrust case against Google reveal that the company deliberately chose to worsen search quality to increase the number of queries you'd have to make (and the number of ads you'd have to see) to find a decent result:

https://pluralistic.net/2024/04/24/naming-names/#prabhakar-raghavan

Google's antitrust case turns on the idea that the company bought its way to dominance, spending the some of the billions it extracted from advertisers and publishers to buy the default position on every platform, so that no one ever tried another search engine, which meant that no one would invest in another search engine, either.

Google's tacit defense is that its monopoly billions only incidentally fund these kind of anticompetitive deals. Mostly, Google says, it uses its billions to build the greatest search engine, ad platform, mobile OS, etc that the public could dream of. Only a company as big as Google (says Google) can afford to fund the R&D and security to keep its platform useful for the rest of us.

That's the "monopolistic bargain" – let the monopolist become a dictator, and they will be a benevolent dictator. Shriven of "wasteful competition," the monopolist can split their profits with the public by funding public goods and the public interest.

Google has clearly reneged on that bargain. A company experiencing the dramatic security failures and declining quality should be pouring everything it has to righting the ship. Instead, Google repeatedly blew tens of billions of dollars on stock buybacks while doing mass layoffs:

https://pluralistic.net/2024/02/21/im-feeling-unlucky/#not-up-to-the-task

Those layoffs have now reached the company's "core" teams, even as its core services continue to decay:

https://qz.com/google-is-laying-off-hundreds-as-it-moves-core-jobs-abr-1851449528

(Google's antitrust trial was shrouded in secrecy, thanks to the judge's deference to the company's insistence on confidentiality. The case is moving along though, and warrants your continued attention:)

https://www.thebignewsletter.com/p/the-2-trillion-secret-trial-against

Google wormed its way into so many corners of our lives that its enshittification keeps erupting in odd places, like ordering takeout food:

https://pluralistic.net/2023/02/24/passive-income/#swiss-cheese-security

Back in February, Housefresh – a rigorous review site for home air purifiers – published a viral, damning account of how Google had allowed itself to be overrun by spammers who purport to provide reviews of air purifiers, but who do little to no testing and often employ AI chatbots to write automated garbage:

https://housefresh.com/david-vs-digital-goliaths/

In the months since, Housefresh's Gisele Navarro has continued to fight for the survival of her high-quality air purifier review site, and has received many tips from insiders at the spam-farms and Google, all of which she recounts in a followup essay:

https://housefresh.com/how-google-decimated-housefresh/

One of the worst offenders in spam wars is Dotdash Meredith, a content-farm that "publishes" multiple websites that recycle parts of each others' content in order to climb to the top search slots for lucrative product review spots, which can be monetized via affiliate links.

A Dotdash Meredith insider told Navarro that the company uses a tactic called "keyword swarming" to push high-quality independent sites off the top of Google and replace them with its own garbage reviews. When Dotdash Meredith finds an independent site that occupies the top results for a lucrative Google result, they "swarm a smaller site’s foothold on one or two articles by essentially publishing 10 articles [on the topic] and beefing up [Dotdash Meredith sites’] authority."

Dotdash Meredith has keyword swarmed a large number of topics. from air purifiers to slow cookers to posture correctors for back-pain:

https://housefresh.com/wp-content/uploads/2024/05/keyword-swarming-dotdash.jpg

The company isn't shy about this. Its own shareholder communications boast about it. What's more, it has competition.

Take Forbes, an actual news-site, which has a whole shadow-empire of web-pages reviewing products for puppies, dogs, kittens and cats, all of which link to high affiliate-fee-generating pet insurance products. These reviews are not good, but they are treasured by Google's algorithm, which views them as a part of Forbes's legitimate news-publishing operation and lets them draft on Forbes's authority.

This side-hustle for Forbes comes at a cost for the rest of us, though. The reviewers who actually put in the hard work to figure out which pet products are worth your money (and which ones are bad, defective or dangerous) are crowded off the front page of Google and eventually disappear, leaving behind nothing but semi-automated SEO garbage from Forbes:

https://twitter.com/ichbinGisele/status/1642481590524583936

There's a name for this: "site reputation abuse." That's when a site perverts its current – or past – practice of publishing high-quality materials to trick Google into giving the site a high ranking. Think of how Deadspin's private equity grifter owners turned it into a site full of casino affiliate spam:

https://www.404media.co/who-owns-deadspin-now-lineup-publishing/

The same thing happened to the venerable Money magazine:

https://moneygroup.pr/

Money is one of the many sites whose air purifier reviews Google gives preference to, despite the fact that they do no testing. According to Google, Money is also a reliable source of information on reprogramming your garage-door opener, buying a paint-sprayer, etc:

https://money.com/best-paint-sprayer/

All of this is made ten million times worse by AI, which can spray out superficially plausible botshit in superhuman quantities, letting spammers produce thousands of variations on their shitty reviews, flooding the zone with bullshit in classic Steve Bannon style:

https://escapecollective.com/commerce-content-is-breaking-product-reviews/

As Gizmodo, Sports Illustrated and USA Today have learned the hard way, AI can't write factual news pieces. But it can pump out bullshit written for the express purpose of drafting on the good work human journalists have done and tricking Google – the search engine 90% of us rely on – into upranking bullshit at the expense of high-quality information.

A variety of AI service bureaux have popped up to provide AI botshit as a service to news brands. While Navarro doesn't say so, I'm willing to bet that for news bosses, outsourcing your botshit scams to a third party is considered an excellent way of avoiding your journalists' wrath. The biggest botshit-as-a-service company is ASR Group (which also uses the alias Advon Commerce).

Advon claims that its botshit is, in fact, written by humans. But Advon's employees' Linkedin profiles tell a different story, boasting of their mastery of AI tools in the industrial-scale production of botshit:

https://housefresh.com/wp-content/uploads/2024/05/Advon-AI-LinkedIn.jpg

Now, none of this is particularly sophisticated. It doesn't take much discernment to spot when a site is engaged in "site reputation abuse." Presumably, the 12,000 googlers the company fired last year could have been employed to check the top review keyword results manually every couple of days and permaban any site caught cheating this way.

Instead, Google is has announced a change in policy: starting May 5, the company will downrank any site caught engaged in site reputation abuse. However, the company takes a very narrow view of site reputation abuse, limiting punishments to sites that employ third parties to generate or uprank their botshit. Companies that produce their botshit in-house are seemingly not covered by this policy.

As Navarro writes, some sites – like Forbes – have prepared for May 5 by blocking their botshit sections from Google's crawler. This can't be their permanent strategy, though – either they'll have to kill the section or bring it in-house to comply with Google's rules. Bringing things in house isn't that hard: US News and World Report is advertising for an SEO editor who will publish 70-80 posts per month, doubtless each one a masterpiece of high-quality, carefully researched material of great value to Google's users:

https://twitter.com/dannyashton/status/1777408051357585425

As Navarro points out, Google is palpably reluctant to target the largest, best-funded spammers. Its March 2024 update kicked many garbage AI sites out of the index – but only small bottom-feeders, not large, once-respected publications that have been colonized by private equity spam-farmers.

All of this comes at a price, and it's only incidentally paid by legitimate sites like Housefresh. The real price is borne by all of us, who are funneled by the 90%-market-share search engine into "review" sites that push low quality, high-price products. Housefresh's top budget air purifier costs $79. That's hundreds of dollars cheaper than the "budget" pick at other sites, who largely perform no original research.

Google search has a problem. AI botshit is dominating Google's search results, and it's not just in product reviews. Searches for infrastructure code samples are dominated by botshit code generated by Pulumi AI, whose chatbot hallucinates nonexistence AWS features:

https://www.theregister.com/2024/05/01/pulumi_ai_pollution_of_search/

This is hugely consequential: when these "hallucinations" slip through into production code, they create huge vulnerabilities for widespread malicious exploitation:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

We've put all our eggs in Google's basket, and Google's dropped the basket – but it doesn't matter because they can spend $20b/year bribing Apple to make sure no one ever tries a rival search engine on Ios or Safari:

https://finance.yahoo.com/news/google-payments-apple-reached-20-220947331.html

Google's response – laying off core developers, outsourcing to low-waged territories with weak labor protections and spending billions on stock buybacks – presents a picture of a company that is too big to care:

https://pluralistic.net/2024/04/04/teach-me-how-to-shruggie/#kagi

Google promised us a quid-pro-quo: let them be the single, authoritative portal ("organize the world’s information and make it universally accessible and useful"), and they will earn that spot by being the best search there is:

https://www.ft.com/content/b9eb3180-2a6e-41eb-91fe-2ab5942d4150

But – like the spammers at the top of its search result pages – Google didn't earn its spot at the center of our digital lives.

It cheated.

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/2024/05/03/keyword-swarming/#site-reputation-abuse

Image: freezelight (modified) https://commons.wikimedia.org/wiki/File:Spam_wall_-_Flickr_-_freezelight.jpg

CC BY-SA 2.0 https://creativecommons.org/licenses/by-sa/2.0/deed.en

[proshippers-against-censorship]

It's pretty awful to support AI-images, mostly because they are so harmful to our environment. Learn the skill of Photoshop or drawing, it's pathetic to have to use a tool that not only drains water, but steals work from millions of other people

Supporting AI is probably the most disgusting thing you've ever said

As somebody who codes and was building chatbots back when Clever was popular, I will never not support ethical AI systems. They're impressive. And especially when you start getting into stuff like the ones that can detect cancer? Holy shit. Hell, my personal system could damn near replicate me for a bit. I'd practically cloned myself. How can you not look at that and find it cool as shit?

Plus, I mean, autocorrect is a fucking lifesaver, and that's ai. Just sayin.

[southlabs]

Question, didn't Wire say to not do any type of extension to their au?

Btw Hell Park Reimagined has permission from mods of the Hell Park staff to make it so you don't use it as an excuse, but I don't think you did ask, otherwise what your doing isn't okay and furthermore you should stop this au before it gets out of hand and you would get in more trouble than you think you would. Thanks!

Okay since I have gotten multiple people asking this sort of question and flat out telling me to kill myself over this project, HP extended has been officially cancelled in favor of a new project of which I am still working out the details. It is similar to hp extended in ages of characters, general places, and some character designs, but other than that it is a new concept focusing on Mephesto Labs' creations. It is based in the modern day, and how AI chatbots are getting smarter and smarter.

GENERAL PREMISE:

Terrence Mephesto has officially taken over Mephesto Labs, and is very interested in the idea of building AI robots to handle all duties of South Park citizens. The story starts with him and his brother Kevin bringing life to the newly reprogrammed Leslie on a screen in the lab. He has two assistants, a protege who I haven't found her name yet but it's this little goth girl that only shows up in backgrounds (I love her so much) who is loosely based on Abby from NCIS and a young scientist (brimmy). I don't quite know the conflict at hand yet, probably along the lines of "THEY TOOK OUR JURBS" or some shit.

WHAT WILL HAPPEN:

The blog will be rehauled in full and the website will be taken down on account of it being way too hard to upkeep without a working computer

All posts of hellpark extended will be taken down including leaks and idea logs.

All leaks will now be on @cassiedoll09 which is also being rehauled to fit my personality better.

It's been fun hellparkies, but also fuck everyone who told me to commit over a stupid comic or who decided sending me weird crap in asks was ever a good idea

[freyito]

I'm the, former I guess, anon who asked for the ftm reader that wants to be strong, I loved it so much omg!! (⁠´⁠∩⁠｡⁠•⁠ ⁠ᵕ⁠ ⁠•⁠｡⁠∩⁠`⁠)

I was wondering if I could ask for the Lin Kuei boys with a ftm reader who's a younger brother figure? Maybe where he comes out to them? Happy day to you!

i cried at this request thats why it took me a while to get to it. i rhgfjsakdahdgHFRHRGRGHRGR THANK YOU (also still healing my inner child oh em gee)

cw: ftm reader, afab, familial, this is probably the happiest you will ever see these men lmfao, proofread

ᴄᴏᴍɪɴɢ ᴏᴜᴛ ᴛᴏ ᴛʜᴇ ʟɪɴ ᴋᴜᴇɪ ᴛʀɪᴏ

-Tomas Vrbada...

is over the moon. He's absolutely ecstatic. For you, yes. But also for himself. He may or may not have dreamed of having a little brother, and this was just a perfect little coincidence. No longer is he the youngest boy.

He asks questions quicker then you can answer, one after another. He actually isn't really relying on answers, either. He's asking the questions simply to ask them. He's not invasive or anything, either.

He also wants to know exactly how he can support you! He's quick to ask if you want your hair cut (if you have long hair), but I'd advise against letting him cut your hair (headcannon that he cut his own and now we don't have Tomas' pretty long locks T_T)

Tomas also takes pride in introducing you has his brother, to every stranger he meets. Almost like an excited puppy.

-Bi-Han...

shows almost no reaction. Almost as if he's thinking on it for a bit. But then, he'll give you a very rare, soft, warm smile and welcome you as his brother. He's quick to the change, as well.

He almost treats you as his favorite now. Not because of the change, but because he's just so damn proud of you for finding your courage to come out to him.

Bi-Han's also just curious how this whole thing works. He's not judgmental, not one bit. But he's almost got as many questions as Tomas does. So be prepared for a torrent of all the necessary (and unnecessary) questions to understand you.

He also offers up some of his older clothes to you, if you're willing to take them. As hard as it is to believe, he is a little obsessed with vanity, and he wants to build that sort of connection with you.

-Kuai Liang...

has to process the information first, like Bi-Han. But once the lightbulb goes off, he has the biggest, uncontrollable smile on his face.

Actually, he is so beyond excited that you can feel the heat emanating off of him. The room gets just a little hotter. Only seconds after this does he regain his composure.

First and foremost, he is worried about binding. He wants you to bind safely, correctly, and be comfortable in your body. He isn't hesitant to the idea, but he's just afraid you'll get a size too small on purpose or wont be able to find one that fits you.

Kuai Liang does everything in his power to make sure you feel comfortable and euphoric in your body. He'll scavenge through His, Bi-Han's, and Tomas' old wardrobes to find you something you like. He'll keep your hair away from Tomas so he can cut, all of it.

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