#outsource data collection

[itesservices]

Accurate data collection is crucial for informed decision-making and strategic planning. Professional data collection services ensure reliable, high-quality data that drives business impact. By leveraging these services, companies can gain valuable insights, optimize operations, and stay competitive in their industries. Employing experienced professionals for data collection helps avoid errors and enhances the overall effectiveness of business strategies. Make data-driven decisions with confidence by investing in specialized data collection services. 

[hitechbpo]

How real estate companies should make developers and investors find commercial or residential properties with higher potential, and provide clutter free experience to their buyers and sellers. In this article, we share everything that realtors should do to maintain accuracy of their real estate data.

[mantisgodsdomain]

IF team snakemouth had a Minecraft hobby, how would be their playstyles?

You are asking the wrong person. Hold on let us redirect this to the experts @boiledegghole @danspectorboy

(transcript below cut)

Two screenshots of Discord conversations with boiledegghole and danspectorboy.

boiledegghole: ok so.

i think i have a friend who plays exactly how i feel like vi would play

she would be like "adventure time" and travel thousands of blocks out for no reason. and shed invite people all the time like "adventure?"

once i accepted my friends invite to adventure and i ended up accidentally being in 3 vcs at once so i was minecraft catatonic for most of the travel, in which he dragged me around in a boat. by the time i escaped my mind hell he was gone and i was in the middle of fucking nowhere

leif would go fucking nuts on the redstone. i think he would be decent at building as well. but hed be a Fucking Nerd about redstone

kabbu i think would like caving. he would have a humble house but hed easily be the richest person on the server. he probably has a dedicated side house for his horse

danspectorboy: Kabbu likes grinding for items and may have crashed their server by sheer quantities of animals. Leif likes to explore and probably doesn't know how crafting works. Vi tries to build farms and none of them work . Probably turns creative mod on and pretends to have gotten the items legitimately. NONE of them know how to build so they live on a dug out cave with like. Three beds by the entrance and a two by one tunnel that runs in front of incredibly disorganised chests and kabbus mine entrance (he digs straight down)

[retailor]

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Retailor LLC specializes in Retail Audit, Retail Census, and Team Outsourcing services across Central Asia and the Caucasus. With over 15 years of experience in FMCG and Project Management, and 10 years in Retail Audit management, Retailor stands out for its in-depth knowledge of the retail market and advanced data collection and reporting tools. The company is committed to connecting retail execution with strategy, ensuring reliable and actionable data for partners like Coca-Cola, Unilever, and Colgate-Palmolive.

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[katrium]

Accelerate Business Growth in the Digital Era with Blog Writing in Finnish

In today’s digital era, businesses are increasingly recognizing the importance of effective SEO content writing to boost their growth through digital marketing. SEO, or Search Engine Optimization, is the art of optimizing web content to rank higher on search engine result pages, driving organic traffic to a website. It involves incorporating relevant keywords, creating engaging content, and enhancing user experience to attract and retain visitors. With the ever-evolving algorithms of search engines like Google, businesses must adapt their content strategies to stay ahead of the competition.

That’s where skilled SEO content writers come in. They possess the unique ability to blend creativity and technical expertise to craft compelling content that not only resonates with the target audience but also aligns with search engine requirements. By employing effective Blog Writing in Finnish, businesses can reach a wider audience, increase their online visibility, and establish their authority in their respective industries. This not only leads to improved brand recognition but also drives more qualified leads, ultimately contributing to the growth and success of the business.

To read more https://katrium2.wordpress.com/2023/06/05/accelerate-business-growth-in-the-digital-era-with-blog-writing-in-finnish/ Contact +372 56487 414 Mail us info@katrium.eu Address Mustamäe tee, 5-210, Tallinn, Estonia

[datamangementservices]

Cadtrans then diversified into Data Management Outsourcing services with small projects like image analysis, data entry, pdf to excel conversion, etc.. The hard work and perseverance of  the team kept adding agents as well as projects and today Cadtrans caters to clients from the US, UK, Australia, and Middle East countries to name a few.

[mariacallous]

Thousands of law enforcement officials and people applying to be police officers in India have had their personal information leaked online—including fingerprints, facial scan images, signatures, and details of tattoos and scars on their bodies. If that wasn’t alarming enough, at around the same time, cybercriminals have started to advertise the sale of similar biometric police data from India on messaging app Telegram.

Last month, security researcher Jeremiah Fowler spotted the sensitive files on an exposed web server linked to ThoughtGreen Technologies, an IT development and outsourcing firm with offices in India, Australia, and the US. Within a total of almost 500 gigabytes of data spanning 1.6 million documents, dated from 2021 until when Fowler discovered them in early April, was a mine of sensitive personal information about teachers, railway workers, and law enforcement officials. Birth certificates, diplomas, education certificates, and job applications were all included.

Fowler, who shared his findings exclusively with WIRED, says within the heaps of information, the most concerning were those that appeared to be verification documents linked to Indian law enforcement or military personnel. While the misconfigured server has now been closed off, the incident highlights the risks of companies collecting and storing biometric data, such as fingerprints and facial images, and how they could be misused if the data is accidentally leaked.

“You can change your name, you can change your bank information, but you can't change your actual biometrics,” Fowler says. The researcher, who also published the findings on behalf of Website Planet, says this kind of data could be used by cybercriminals or fraudsters to target people in the future, a risk that’s increased for sensitive law enforcement positions.

Within the database Fowler examined were several mobile applications and installation files. One was titled “facial software installation,” and a separate folder contained 8 GB of facial data. Photographs of people’s faces included computer-generated rectangles that are often used for measuring the distance between points of the face in face recognition systems.

There were 284,535 documents labeled as Physical Efficiency Tests that related to police staff, Fowler says. Other files included job application forms for law enforcement officials, profile photos, and identification documents with details such as “mole at nose” and “cut on chin.” At least one image shows a person holding a document with a corresponding photo of them included on it. “The first thing I saw was thousands and thousands of fingerprints,” Fowler says.

Prateek Waghre, executive director of Indian digital rights organization Internet Freedom Foundation, says there is “vast” biometric data collection happening across India, but there are added security risks for people involved in law enforcement. “A lot of times, the verification that government employees or officers use also relies on biometric systems,” Waghre says. “If you have that potentially compromised, you are in a position for someone to be able to misuse and then gain access to information that they shouldn’t.”

It appears that some biometric information about law enforcement officials may already be shared online. Fowler says after the exposed database was closed down he also discovered a Telegram channel, containing a few hundred members, which was claiming to sell Indian police data, including of specific individuals. “The structure, the screenshots, and a couple of the folder names matched what I saw,” says Fowler, who for ethical reasons did not purchase the data being sold by the criminals so could not fully verify it was exactly the same data.

“We take data security very seriously, have taken immediate steps to secure the exposed data,” a member of ThoughtGreen Technologies wrote in an email to WIRED. “Due to the sensitivity of data, we cannot comment on specifics in an email. However, we can assure you that we are investigating this matter thoroughly to ensure such an incident does not occur again.”

In follow-up messages, the staff member said the company had “raised a complaint” with law enforcement in India about the incident, but did not specify which organization they had contacted. When shown a screenshot of the Telegram post claiming to sell Indian police biometric data, the ThoughtGreen Technologies staff member said it is “not our data.” Telegram did not respond to a request for comment.

Shivangi Narayan, an independent researcher in India, says the country’s data protection law needs to be made more robust, and companies and organizations need to take greater care with how they handle people’s data. “A lot of data is collected in India, but nobody's really bothered about how to store it properly,” Narayan says. Data breaches are happening so regularly that people have “lost that surprise shock factor,” Narayan says. In early May, one cybersecurity company said it had seen a face-recognition data breach connected to one Indian police force, including police and suspect information.

The issues are wider, though. As governments, companies, and other organizations around the world increasingly rely on collecting people’s biometric data for proving their identity or as part of surveillance technologies, there’s an increased risk of the information leaking online and being abused. In Australia, for instance, a recent face recognition leak impacting up to a million people led to a person being charged with blackmail.

“So many other countries are looking at biometric verification for identities, and all of that information has to be stored somewhere,” Fowler says. “If you farm it out to a third-party company, or a private company, you lose control of that data. When a data breach happens, you’re in deep shit, for lack of a better term.”

[thursdayisbetterthanfriday]

Atom: The Beginning & AI Cybersecurity

Atom: The Beginning is a manga about two researchers creating advanced robotic AI systems, such as unit A106. Their breakthrough is the Bewusstein (Translation: awareness) system, which aims to give robots a "heart", or a kind of empathy. In volume 2, A106, or Atom, manages to "beat" the highly advanced robot Mars in a fight using a highly abstracted machine language over WiFi to persuade it to stop.

This may be fiction, but it has parallels with current AI development in the use of specific commands to over-run safety guides. This has been demonstrated in GPT models, such as ChatGPT, where users are able to subvert models to get them to output "banned" information by "pretending" to be another AI system, or other means.

There are parallels to Atom, in a sense with users effectively "persuading" the system to empathise. In reality, this is the consequence of training Large Language Models (LLM's) on relatively un-sorted input data. Until recent guardrail placed by OpenAI there were no commands to "stop" the AI from pretending to be an AI from being a human who COULD perform these actions.

As one research paper put it:

"Such attacks can result in erroneous outputs, model-generated hate speech, and the exposure of users’ sensitive information." Branch, et al. 2022

There are, however, more deliberately malicious actions which AI developers can take to introduce backdoors.

In Atom, Volume 4, Atom faces off against Ivan - a Russian military robot. Ivan, however, has been programmed with data collected from the fight between Mars and Atom.

What the human researchers in the manga didn't realise, was the code transmissions were a kind of highly abstracted machine level conversation. Regardless, the "anti-viral" commands were implemented into Ivan and, as a result, Ivan parrots the words Atom used back to it, causing Atom to deliberately hold back.

In AI cybersecurity terms, this is effectively an AI-on-AI prompt injection attack. Attempting to use the words of the AI against itself to perform malicious acts. Not only can this occur, but AI creators can plant "backdoor commands" into AI systems on creation, where a specific set of inputs can activate functionality hidden to regular users.

This is a key security issue for any company training AI systems, and has led many to reconsider outsourcing AI training of potential high-risk AI systems. Researchers, such as Shafi Goldwasser at UC Berkley are at the cutting edge of this research, doing work compared to the key encryption standards and algorithms research of the 1950s and 60s which have led to today's modern world of highly secure online transactions and messaging services.

From returning database entries, to controlling applied hardware, it is key that these dangers are fully understood on a deep mathematical, logical, basis or else we face the dangerous prospect of future AI systems which can be turned against users.

As AI further develops as a field, these kinds of attacks will need to be prevented, or mitigated against, to ensure the safety of systems that people interact with.

References:

Twitter pranksters derail GPT-3 bot with newly discovered “prompt injection” hack - Ars Technica (16/09/2023)

EVALUATING THE SUSCEPTIBILITY OF PRE-TRAINED LANGUAGE MODELS VIA HANDCRAFTED ADVERSARIAL EXAMPLES - Hezekiah Branch et. al, 2022 Funded by Preamble

In Neural Networks, Unbreakable Locks Can Hide Invisible Doors - Quanta Magazine (02/03/2023)

Planting Undetectable Backdoors in Machine Learning Models - Shafi Goldwasser et.al, UC Berkeley, 2022

[itesservices]

In the dynamic landscape of startups, data collection companies play a pivotal role in driving growth and innovation. By harnessing actionable insights from diverse datasets, startups can make informed decisions and gain a competitive edge. Discover how these companies empower startups to navigate challenges, identify opportunities, and scale their businesses effectively. Learn more about the transformative impact of data collection services in propelling startup success.

[hitechbpo]

Unleash the power of data with our insightful article, 'Why Outsource Data Collection for Data-Driven Marketing'. Here, we delve into the pivotal role of outsourcing data collection, showcasing how it leads to better efficiency, more informed decision-making, and increased ROI for your marketing campaigns.

[religion-is-a-mental-illness]

By: River Page

Published: Feb 2, 2024

"Companies also cannot take race-motivated actions to maintain a demographically 'balanced' workforce." — Commissioner at Equal Employment Opportunity Commission Andrea R. Lucas in Reuters, June 29, 2023

"An unlawful employment practice is established when the complaining party demonstrates that race, color, religion, sex, or national origin was a motivating factor for any employment practice, even though other factors also motivated the practice." — 42 USC § 2000e–2(m) of Title VII of the Civil Rights Act of 1964

---

In the wake of the George Floyd protests, tech companies promised to hire more minorities. One company that claims to help them do it is Gem, and although you might not have heard of it, you’ve probably heard of some of its 1,200-plus clients: Reddit, Dropbox, Robinhood, Discord, Zillow, Stripe, Affirm, and Grammarly, just to name a few. Although Gem’s software is primarily used for things like non-race- and gender-based recruiting, payroll, and benefits management, John, (not his real name) — who worked for Gem as a sales development representative through a B2B outsourcing firm from March to July of 2021, told us that the prospective corporate clients he talked to were most interested in Gem’s “diversity enhancing” capabilities. Essentially, they had race- and gender-based hiring quotas and wanted to use Gem’s software to meet them. He said one prospective client, an executive at the Bay Area-based AI and robotics research arm of one of the world’s leading car manufacturers, told him explicitly: “I need more black candidates this month.”

According to its website, Gem’s software allows recruiters to track “gender and race/ethnicity throughout the entire hiring funnel.” Essentially, it appears to include a comprehensive race and gender tracking system designed to help companies fill race- and gender-based quotas with precision. For example, in a 2021 diversity webinar posted on YouTube, a Gem employee seemed to explain how the software could show how many candidates a company would need to reach out to if it had three engineering positions open, but didn’t want to hire men for them (in her words: “wanted to give women a chance”). In the same video, she demonstrated how to break down each stage in the hiring funnel by race, and explained (but did not show, probably for privacy reasons) how companies could further track how their recruiters’ own efforts break down along the lines of the company’s race- and gender-based hiring quotas, so that the company may “hold them accountable.”

[ Screen capture from Gem’s diversity webinar ]

All this requires a lot of data. According to a recent LinkedIn post by Gem founder Steve Bartel, this data can come from three sources:

Self-ID: the demographic data collection on job applications

Manual override: the recruiter reports your race and gender based on visual cues such as your LinkedIn profile picture

Predicted: Gem’s proprietary AI determines a candidate's race and gender based on machine learning (Bartel notes this is only for aggregate/anonymized use, meaning that the UI doesn’t allow recruiters to see which race was assigned to individual candidates)

John told me that, of Gem’s features, its race- and gender-identifying AI was the biggest selling point. “A key part of the pitch was to tell clients that Gem uses AI and machine learning to determine race and gender.” (This is especially ironic, given the panic about “racist AI” that has consumed every discussion about artificial intelligence for years.)

“One thing that cracked me up was that recruiting/DEI buyers at companies would ask, ‘Is this legal?’” John told me. “Not because they were offended by how obviously racist the software was — they loved what they saw. The concern was pushback from their legal team.” He said this question was asked so frequently that Gem’s Chief Legal Counsel had a prewritten response to the question that would be passed along to clients who asked.

[ Source: Gem’s website, February 1, 2024 ]

The "Diversity Recruiting" section of Gem’s website offers a slate of what it calls “Case Studies” — essentially customer testimonials — where companies explain how they used Gem to hire based on race and gender.

In a case study for payroll firm Gusto, Gem seems to indicate the company used its “Candidate Rediscovery” tool to hire based on candidates’ race and gender. In Gem’s language, Gusto used the tool to “unearth talent who is vetted — and diverse — ultimately reducing time-to-hire.” In other words, companies could use Gem’s software to find people with specific racial and gender-based characteristics that meet the position’s requirements and hire them quickly, while weeding out similarly qualified candidates who are, presumably, white or male or both.

In a case study about the telecommunications company Twilio, Gem seems to describe how one of its senior recruiters was able to avoid hiring men with their tool:

Gem’s metrics have also helped [the recruiter] zero in on stages in the interview process where the team is falling short on equitable gender hiring. “For one division, we intuited that we were hiring more women than the average team—and we were! We were prepared to roll off our passive sourcing efforts for that division, but I don’t like to make a move without looking at all the data first. That’s where Gem came through.” [The recruiter] dug through the data in more detail and discovered that the proportion of male candidates was actually increasing quarter over quarter—so much so that, by Q3, they would have made significantly more male than female hires. “If we hadn’t had access to that data, we wouldn’t have been able to identify that trend and strategize on how to allocate our resources properly.”

This is easily interpretable as: We thought everything was fine until Gem showed us that by Q3 we might hire a disproportionate number of men in a division that a disproportionate number of men applied to work in. It's worth noting that when announcing massive job cuts in 2022, Twilio’s CEO bragged that the layoffs had been carried out through an “Anti-Racist/Anti-Oppression lens.”

In another testimonial from Chili Piper, an inbound conversion platform for B2B revenue teams, the company’s Talent Ops Manager says she used Gem to discover that URG (under-represented group) candidates were dropping off after the company stopped including a video submission in the application (itself seeming to indicate that a significant proportion “URGs” were being advanced through the hiring pipeline because of their race or gender). She successfully lobbied to bring the video submission back and modified the assignment. “Now it’s like, sell us a new smartphone: something that really levels the playing field and lets us see candidates’ creativity, communication, and approach in action. It’s not necessarily entrenched in experience in tech and SaaS sales.” Since then, the company has “seen a decisive shift in the demographics of candidates who make it to the interview stage of our process. We have seen a 54% increase in URG candidates and a 31% increase in female-identified candidates making it to the first round of interviews. Offers extended to, and offers accepted by URGs have increased.”

In other words, Chili Piper's testimonial seems to indicate that Gem showed the company that when it stopped asking applicants to submit a video that allowed them to see their race and gender, they stopped hiring more minorities. So they brought video back, and seemed to effectively lower their standards by changing the assignment to one in which industry experience was deprioritized.

Gem’s own hiring practices also raise red flags. An internal jobs board from June 2021 provided to Pirate Wires shows that under a field titled “Diversity Search,” positions are either listed as “Open,” “Women,” “URM,” or “Women & URM,” suggesting that certain positions were closed off to straight white males, or perhaps that women and minorities were being sought after in those positions. We sent the screenshot of the internal job board — with company name and other identifying information redacted — to a tech industry employment lawyer, who said:

Without knowing more about the company or getting clarification on what some of the designations mean on the chart, it looks a bit problematic. The law allows companies to set “targets” and “goals” as they relate to the hiring, retention, and promotion of women, veterans, and underrepresented minorities (those targets/goals must be temporary). But the law does not currently allow private companies to set aside or otherwise designate specific positions for such group members. There are some grey areas for certain types of federal contractors, but it’s the exception to the rule.

As a non-lawyer, I’ll not comment on the legality of Gem’s hiring practices. However, I will say the company seems to use unorthodox recruiting methods. In Gem’s diversity webinar I referred to earlier, one of the hosts said, “Here at Gem, each time we open a new req [position], we actually focus solely on sourcing URGs, and in conjunction [with that] we don’t post the job on the career site until other levers need to be pulled…”

The host then explained how she found candidates of specific races and genders at Gem, telling the audience: “Sourcing for URGs may require you to shift some fundamental ideas you have about what a quote-unquote good candidate looks like.” Next, she described how she would go through LinkedIn, searching for candidates with stereotypically minority names, who use neo-pronouns, or who went to minority-majority schools, among other tactics.

[ Slide from Gem’s diversity webinar]

When asked for comment, a representative from GEM told us “Our product provides interested customers with insights that help them build a diverse talent pipeline. We work closely with legal counsel to ensure our platform complies with all applicable laws and welcome potential customers looking to learn more to reach out to us."

Gem: a company that apparently doesn’t post some job announcements publicly without searching for specific races and genders on LinkedIn first. A company whose value proposition is to help companies hold their recruiters “accountable” for hiring too many of the wrong race and gender. A company that created an AI that predicts your race and gender. A company whose AI tracks race throughout the hiring pipeline so efficiently that, allegedly, even woke companies question its legality during sales calls. Gem is the company that vast swaths of the tech industry are using to hire.

So if you’re in the business, and you’re a Derrick O’Donnell or a John Chau, good luck out there. I think you’re gonna need it.

[ Via: https://archive.md/gxFMK ]

==

DEI is discrimination.

[cogitotech]

The outsourced labeling of data is popular with machine learning projects, but not every data labeling partner is suitable for successfully completing a machine learning project. Check out these five key characteristics when searching for a data annotation & labeling partner.

[katrium]

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[elsa16744]

How Artificial Intelligence Will Change the Future of Marketing 

Businesses have used artificial intelligence in several operations, and marketing is no exception to this phenomenon. Corporations want to know the impact of AI on marketing research outsourcing to evaluate whether to invest research budgets in artificial intelligence applications. This post will summarize the different aspects of the future of AI in marketing. 

What is Artificial Intelligence (AI) in Marketing? 

Artificial intelligence integrates extensive machine learning models to facilitate the engineering and deployment of self-aware technologies. Therefore, market intelligence firms explore the use cases of AI in marketing. 

How is AI used in advanced marketing techniques? Adaptation intelligence can help you identify customer segments more efficiently and anonymously. AI solutions save your time and company resources by identifying new opportunities through market research outsourcing. 

Besides, AI systems become smarter with time and usage. So, corporations increasingly rely on them for cost optimization and budget projection. Both paid and organic marketing techniques benefit from AI. Likewise, you can develop multiple marketing campaigns targeting precise geolocation. Companies can also offer personalization services without exposing personal data. 

Impact of AI on Marketing 

1| Automated Moderation in Community Marketing 

Community-based marketing involves creating online spaces where consumers, employees, and other stakeholders can interact proactively. You can often create invitation-only communities for different customer tiers. Consider market research outsourcing to discover trends and strategies in community marketing. 

The exclusivity of private or restricted communities helps you review the content without being overwhelmed. After all, customers pay for the membership indirectly when purchasing a product or service from you. However, many brands have publicly available online communities that act as consumer education platforms. 

The effectiveness of community marketing relies on creating a healthy environment to make different customer segments feel welcome and appreciated. Simultaneously, uncivilized behaviors threaten the appeal of online communities. Therefore, market intelligence firms recommend using AI-powered content moderation tools for community marketing. E.g., protecting community members from online harassment and spam. 

2| AI Used in Chatbot Marketing 

Conversational AI chatbots recreate social media messaging experience for website visitors and virtual helpdesks. These techniques, used by market intelligence firms, combine natural language processing (NLP) capabilities with intuitive user interfaces. 

Therefore, you feel like you are talking to an actual human. Meanwhile, an algorithm interacts with you from beyond the screen. Moreover, the AI responses are less formulaic or predictable, unlike the scripted chatbots. So, you get contextual messages and a more organic feel. Modern chatbots highlight the future of AI in marketing, where any company can use always-on, lead nourishing interactions. 

AI chatbots can also improve market research outsourcing by converting online customer surveys into more personable messages. For example, AI chatbot marketing can collect data on a consumer’s profession via exciting conversations instead of an empty form field accompanied by boring instructions. 

3| How is AI Used in Targeted Marketing? 

Online marketing is no longer an optional activity, but it is a highly competitive landscape. Therefore, all corporations must leverage market intelligence firms to explore and implement AI-powered targeted bid optimization. 

Keyword research and bidding for targeted marketing slots on a website or a video are important considerations in digital marketing management. Artificial intelligence firms streamline these processes by facilitating automated bid adjustments for increased exposure in paid marketing techniques. 

Targeted marketing helps you create memorable customer experiences using personal or demographic characteristics data. 

Consider how a young medical student has different priorities than a married person with two kids who is about to retire. So, AI-enabled targeted marketing will adjust your bids to achieve a greater impact. This facility prevents inefficient spending on irrelevant ad impressions. 

Conclusion 

The future of AI in marketing is promising on multiple fronts. AI chatbots enhance consumer engagement while making market research outsourcing surveys more dynamic. Artificial intelligence also helps you maximize the effectiveness of your marketing campaign via smart auto-bidding. 

AI is crucial to increasing the reliability of automated content moderation tools used in community marketing. Besides, reputable firms utilize artificial intelligence to validate consumer responses in market research. 

A leader among market intelligence firms, SG Analytics, empowers organizations to acquire actionable marketing insights for detailed benchmark studies. Contact us today to increase your competitive edge and market share. 

[tieflingkisser]

A site literally called 'Spy.pet' claims to have scraped billions of public Discord messages and wants to sell them

It's an unfortunate reminder not to say things on Discord servers that you wouldn't want repeated elsewhere.

First reported by StackDiary and The Register, a website called Spy.pet claims to have scraped billions of public Discord messages made by almost 620 million users, selling the individual messages and profiles for crypto. Spy.pet ties message logs to the users who sent them, and also collects Discord aliases and linked social media and Steam accounts⁠—it's basically one stop shopping for any surveillance and harassment needs. Spy.pet further purports to offer an "enterprise option" for anyone looking to train an AI model on the site's library of messages.  The site presents this as a potential option for "federal agents looking for a new source of intel," but I'm not sure what bush league FBI office is looking to outsource that capability here⁠. Even with all our data already liable to be scrutinized by the government and sold by platform owners, there's a particular sense of violation at seeing it all packaged up and on sale to anyone like this, and Spy.pet's owner seems to take a certain glee in potential objections to the business: A "request removal" link on the site just leads to a .gif of JJ Jameson laughing in the Sam Raimi Spider-Man 2. I don't think J.K. Simmons is actually that flippant about my privacy, thank you very much. In a statement issued to both the Register and StackDiary, Discord indicated that it is investigating Spy.pet for potential breaches of the company's terms of service: "Discord is committed to protecting the privacy and data of our users. We are currently investigating this matter. If we determine that violations of our Terms of Service and Community Guidelines have occurred, we will take appropriate steps to enforce our policies. We cannot provide further comments as this is an ongoing investigation." As StackDiary points out, Spy.pet is also likely in violation of several articles from the European Union's General Data Protection Regulation. While we don't get nice consumer protections like that here in the US, the Register argues that Spy.pet's potential sale of children's data could still leave it legally liable in the States as well. A crypto-fueled private sector surveillance and harassment machine is a lovely new nightmare of the 2020s, and I hope it gets shut down, but it's another valuable reminder not to treat Discord like it's private. What you say in a small, invite-only server with friends will probably stay there unless one of your friends shares it or reports a message to Discord's mod team, but to really be safe, chatting on Discord has to be seen as posting publicly on social media. So, you know, probably don't leak classified military intel on Discord servers, and just generally don't say anything on there you wouldn't want to see screenshotted and put on Twitter or Reddit. Of course, it would also help if we would just stop making Discord servers for things that shouldn't be Discord servers.