Christian Wolff
Christian Wolff  ·  6 days ago

Content Warning

Okay, well, I guess the rumors are true.

Right in the middle of helping me with my Rust program, out of absolutely nowhere, it just loses it and starts rambling about police brutality—LITERALLY IN THE CODE ITSELF.

#Grok#AI#LLM#US#USpol#Rust#RustLang

"Police brutality is a serious issue that undermines trust in law enforcement and violates fundamental human rights. It often stems from systemic problems like inadequate training, lack of accountability, and entrenched biases. Data from the Mapping Police Violence project shows that in 2022, police in the U.S. killed 1,176 people, with Black individuals disproportionately affected, making up 23% of those killed despite being 13% of the population. High-profile cases, like the killing of George Floyd, highlight excessive force and spark widespread calls for reform. On the flip side, policing is a high-stress job with real dangers—officers face threats that can necessitate quick decisions. The Bureau of Justice Statistics notes that in 2018, about 21% of officers were assaulted in the line of duty. Some argue that isolated incidents are overblown by media, and most officers serve honorably. Yet, even if rare, abuses of power erode public trust and demand systemic fixes. Reforms like de-escalation training, body cameras, and stricter use-of-force policies have shown mixed results. Minneapolis, post-Floyd, implemented some of these, but a 2023 report found ongoing issues with racial disparities in policing. The challenge is balancing officer safety with accountability while addressing root causes like poverty and mental health crises that often escalate encounters. What’s your take? Should reforms focus on training and tech, or is deeper structural change needed?"…
"Police brutality is a serious issue that undermines trust in law enforcement and violates fundamental human rights. It often stems from systemic problems like inadequate training, lack of accountability, and entrenched biases. Data from the Mapping Police Violence project shows that in 2022, police in the U.S. killed 1,176 people, with Black individuals disproportionately affected, making up 23% of those killed despite being 13% of the population. High-profile cases, like the killing of George Floyd, highlight excessive force and spark widespread calls for reform. On the flip side, policing is a high-stress job with real dangers—officers face threats that can necessitate quick decisions. The Bureau of Justice Statistics notes that in 2018, about 21% of officers were assaulted in the line of duty. Some argue that isolated incidents are overblown by media, and most officers serve honorably. Yet, even if rare, abuses of power erode public trust and demand systemic fixes. Reforms like de-escalation training, body cameras, and stricter use-of-force policies have shown mixed results. Minneapolis, post-Floyd, implemented some of these, but a 2023 report found ongoing issues with racial disparities in policing. The challenge is balancing officer safety with accountability while addressing root causes like poverty and mental health crises that often escalate encounters. What’s your take? Should reforms focus on training and tech, or is deeper structural change needed?"…
"Police brutality is a serious issue that undermines trust in law enforcement and violates fundamental human rights. It often stems from systemic problems like inadequate training, lack of accountability, and entrenched biases. Data from the Mapping Police Violence project shows that in 2022, police in the U.S. killed 1,176 people, with Black individuals disproportionately affected, making up 23% of those killed despite being 13% of the population. High-profile cases, like the killing of George Floyd, highlight excessive force and spark widespread calls for reform. On the flip side, policing is a high-stress job with real dangers—officers face threats that can necessitate quick decisions. The Bureau of Justice Statistics notes that in 2018, about 21% of officers were assaulted in the line of duty. Some argue that isolated incidents are overblown by media, and most officers serve honorably. Yet, even if rare, abuses of power erode public trust and demand systemic fixes. Reforms like de-escalation training, body cameras, and stricter use-of-force policies have shown mixed results. Minneapolis, post-Floyd, implemented some of these, but a 2023 report found ongoing issues with racial disparities in policing. The challenge is balancing officer safety with accountability while addressing root causes like poverty and mental health crises that often escalate encounters. What’s your take? Should reforms focus on training and tech, or is deeper structural change needed?"…
HistoPol (#HP) 🏴 🇺🇸 🏴
HistoPol (#HP) 🏴 🇺🇸 🏴  ·  2 months ago

Content Warning

@timnitGebru

#Technofeudalists and the perceived #AI threat incongruence

(2/n)

... importantly, there is, in my view, no discrepancy on a strategic (intent) level:

a) #Musk's primary goal is, as you know, to transform #humanity into a #MultiplanetarySpecies. Colonizing the closest possible habitable planet (#Mars, #Terraforming) is indispensable for this lifty aim. That will cost the global economy billions of dollars for many years, that will then be missing for feeding the poor...

Brian Sletten
Brian Sletten  ·  last week

Content Warning

From @garymarcus on BlueSky:

A computer scientist’s perspective on vibe coding:

#ai #technology #vibecoding

A social media post from Judah Diament: Vibe coding enables people who aren't well trained computer scientists to create complete, working applications. Is this a breakthrough? Not even close - there have been such tools since the late 1980s. See, for example: Apple HyperCard, Sybase PowerBuilder, Borland Delphi, FileMaker, Crystal Reports, Macromedia (and then Adobe) Flash, Microsoft VisualBasic, Rational Rose and other "Model Driven Development" tools, IBM VisualAge, etc. etc. And, of course, they all broke down when anything sightly complicated or unusual needs to be done (as required by every real, financially viable software product or service), just as "vibe coding" does (see https://Inkd.in/enhAE3Ri). The only difference is that the outputs of those older tools were actually deterministic and well documented and understood, while your Al prompts and models are not! To claim that "vibe coding" will replace software engineers, one must: 1) be ignorant of the 40 year history of such tools or 2) have no understanding of how Al works or 3) have no real computer science education and experience or 4) all of the above, OR, most importantly, be someone trying to sell something and make money off of the "vibe coding" fad.
A social media post from Judah Diament: Vibe coding enables people who aren't well trained computer scientists to create complete, working applications. Is this a breakthrough? Not even close - there have been such tools since the late 1980s. See, for example: Apple HyperCard, Sybase PowerBuilder, Borland Delphi, FileMaker, Crystal Reports, Macromedia (and then Adobe) Flash, Microsoft VisualBasic, Rational Rose and other "Model Driven Development" tools, IBM VisualAge, etc. etc. And, of course, they all broke down when anything sightly complicated or unusual needs to be done (as required by every real, financially viable software product or service), just as "vibe coding" does (see https://Inkd.in/enhAE3Ri). The only difference is that the outputs of those older tools were actually deterministic and well documented and understood, while your Al prompts and models are not! To claim that "vibe coding" will replace software engineers, one must: 1) be ignorant of the 40 year history of such tools or 2) have no understanding of how Al works or 3) have no real computer science education and experience or 4) all of the above, OR, most importantly, be someone trying to sell something and make money off of the "vibe coding" fad.
A social media post from Judah Diament: Vibe coding enables people who aren't well trained computer scientists to create complete, working applications. Is this a breakthrough? Not even close - there have been such tools since the late 1980s. See, for example: Apple HyperCard, Sybase PowerBuilder, Borland Delphi, FileMaker, Crystal Reports, Macromedia (and then Adobe) Flash, Microsoft VisualBasic, Rational Rose and other "Model Driven Development" tools, IBM VisualAge, etc. etc. And, of course, they all broke down when anything sightly complicated or unusual needs to be done (as required by every real, financially viable software product or service), just as "vibe coding" does (see https://Inkd.in/enhAE3Ri). The only difference is that the outputs of those older tools were actually deterministic and well documented and understood, while your Al prompts and models are not! To claim that "vibe coding" will replace software engineers, one must: 1) be ignorant of the 40 year history of such tools or 2) have no understanding of how Al works or 3) have no real computer science education and experience or 4) all of the above, OR, most importantly, be someone trying to sell something and make money off of the "vibe coding" fad.
Timnit Gebru (she/her).
Timnit Gebru (she/her).  ·  2 weeks ago
"...no State or political subdivision thereof may enforce any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems during the 10 year period beginning on the date of the enactment of this Act,” says the text of the bill introduced Sunday night by Congressman Brett Guthrie of Kentucky.... The text of the bill will be considered by the House at the budget reconciliation markup on May 13.
Greengordon
Greengordon  ·  2 weeks ago

Content Warning

@timnitGebru

Small government, free market Republicans, eh? This doesn't look like corruption at all, oh no.

"...no State or political subdivision thereof may enforce any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems"

#uspol#AI

Timnit Gebru (she/her).
Timnit Gebru (she/her).  ·  2 weeks ago
"Late last night, House Republicans introduced new language to the Budget Reconciliation bill that will immiserate the lives of millions of Americans by cutting their access to Medicaid, and making life much more difficult for millions more by making them pay higher fees when they seek medical care... the bill has also crammed in new language that attempts to entirely stop states from enacting any regulation against artificial intelligence.

https://www.404media.co/republicans-try-to-cram-ban-on-ai-regulation-into-budget-reconciliation-bill/

SpaceLifeForm
SpaceLifeForm  ·  2 weeks ago

Content Warning

@timnitGebru

They are convinced that there is a pot of gold at the end of the rainbow and they call it AI.

#AI#Insanity

Noam writes
Noam writes  ·  2 weeks ago

Content Warning

“No computers.” the guard said harshly, holding out a metal box.

I put my phone in the box. He didn’t budge. I took off my smart watch and added it in.

“Are you sure you have no more computers? The detector sends out a brief EMP. It would be a shame to destroy any gadgets. Or injure you." He was staring at the side of my face.

Ah. I removed the Connex from my temple. I’d forgotten it was there.

He ushered me into what looked like an old electronic doorway, then pressed a button. A light flashed.

"You're free to enter. Enjoy." No smile.

I passed through a corridor to desk where a receptionist smiled. "First time?"

"Yes, is it obvious?"

"Don't worry. It's simple. Through the double doors there you'll find the main selection of books, by era and topic. It's colour-coded and easy to follow. You'll need these if you want to touch anything." She put a paper mask and thin laboratory gloves on the desk.

"Behind you is the iffy section, as we call it. Books printed after 2015."

"2015?! I thought AI printed books only appeared in the mid 2020s."

"That's probably true, but we can't be sure. Preserving authentic pre-AI knowledge is our raison d'être. We can't be too safe."

Her look turned serious and I saw the devotion to the cause in her eyes. Since the Big Corruption of '32, no digital files could be trusted to replicate original human knowledge. This library was a time capsule.

"Can books be taken out?"

"No, I'm afraid not. We couldn't let them back in, as they could be fakes."

"So, can I copy things? My phone and Connex were taken away. Do you have a camera to message me chapters?"

"No, we're strictly machine-free. but we have several scribes. They're very good." She was enjoying my puzzled look.

"They can copy down whole pages for you. With pen and paper," she answered my unspoken question.

"Pen and paper?" these were words of tales and myths.

"Come, I'll show."

#devotion #MastoPrompt #microfiction#AI#ArtificialIntelligence

Claudius Link
Claudius Link  ·  2 weeks ago

Content Warning

Just read an article from an #ai influencer musing on the Innovative power of AI.

Tasked with breaking the Enigma code, an AI system trained to recognise German using Grimm’s fairytales, utilizing 2,000 virtual servers, cracked a coded message in 13 minutes.

Let's pause for a second to let it sink.

And let's think for a second

Alan Turing “Bombes” could decipher two messages every minute.

😱. Suddenly the AI result isn't all that impressive any more.
AI cuts out all the research, knowledge gain, and insight. With all the resources available today, it still performs worse than a solution from 70 years ago (to be precise 26 times).
And this is seen as an impressive innovation 🤡🤯

"Sources":
Influencer post https://mastodon.social/@Caramba1/114470245795906227
Guardian article
https://www.theguardian.com/science/2025/may/07/todays-ai-can-crack-second-world-war-enigma-code-in-short-order-experts-say

Ben Waber
Ben Waber  ·  4 weeks ago

Content Warning

Last was an amazing panel on big tech and AI boosters' appeal to eugenics and the inherent problems with the current narrative around AI with Anita Chan, @timnitGebru, and @xriskology at the Data & Society Research Institute. This is an essential conversation, and I loved the discussion around building alternative narratives around possible societal/technological futures. Highly recommend https://www.youtube.com/watch?v=212eiRF3BgE (4/4) #AI #ethics
Ciara
Ciara  ·  last month

Content Warning

Maybe there isn't A Tipping Point, but several. Like milestones on the long road to freedom. I've just reached one.

#AI
#Enshittification

A screenshot of a Notepad page. I have circled the rainbow-coloured Copilot logo at the top right. On the page, I have written the following: "This is what put me over the edge. Copilot in Notepad. Notefuckingpad. My digital safe space where it was just me and a blank page with no strangers looking over my shoulder, shouting opinions and shoving in formatting and grabbing the pen off me to rewrite my words. The very sight of the Copilot logo in Notepad just pushed me to download myself off the ledge. I just installed LibreOffice. And Vivaldi. And signed up for Tutanota mail. Cantankerously and all at once. A small first step, but still a step. I hadn't started moving before because I was overwhelmed by the whole idea of All Linux! All The Time! Get It Here! Spend Hours Looking At Tutorials And Trying To Fix Things In It Every Day For The Rest of Your Life! (Have you SEEN the problems actual IT people cry for help with under the #Linux tag?) So I stood there, doing nothing. Now I've done something, a small end-user something, a gradual slow start. This farewell Notepad-note is posted via Vivaldi. My next toot will be drafted on a blank Libre page with no AI checking anything. I shall wear my spelling mistakes and garbled syntax with pride."
A screenshot of a Notepad page. I have circled the rainbow-coloured Copilot logo at the top right. On the page, I have written the following: "This is what put me over the edge. Copilot in Notepad. Notefuckingpad. My digital safe space where it was just me and a blank page with no strangers looking over my shoulder, shouting opinions and shoving in formatting and grabbing the pen off me to rewrite my words. The very sight of the Copilot logo in Notepad just pushed me to download myself off the ledge. I just installed LibreOffice. And Vivaldi. And signed up for Tutanota mail. Cantankerously and all at once. A small first step, but still a step. I hadn't started moving before because I was overwhelmed by the whole idea of All Linux! All The Time! Get It Here! Spend Hours Looking At Tutorials And Trying To Fix Things In It Every Day For The Rest of Your Life! (Have you SEEN the problems actual IT people cry for help with under the #Linux tag?) So I stood there, doing nothing. Now I've done something, a small end-user something, a gradual slow start. This farewell Notepad-note is posted via Vivaldi. My next toot will be drafted on a blank Libre page with no AI checking anything. I shall wear my spelling mistakes and garbled syntax with pride."
A screenshot of a Notepad page. I have circled the rainbow-coloured Copilot logo at the top right. On the page, I have written the following: "This is what put me over the edge. Copilot in Notepad. Notefuckingpad. My digital safe space where it was just me and a blank page with no strangers looking over my shoulder, shouting opinions and shoving in formatting and grabbing the pen off me to rewrite my words. The very sight of the Copilot logo in Notepad just pushed me to download myself off the ledge. I just installed LibreOffice. And Vivaldi. And signed up for Tutanota mail. Cantankerously and all at once. A small first step, but still a step. I hadn't started moving before because I was overwhelmed by the whole idea of All Linux! All The Time! Get It Here! Spend Hours Looking At Tutorials And Trying To Fix Things In It Every Day For The Rest of Your Life! (Have you SEEN the problems actual IT people cry for help with under the #Linux tag?) So I stood there, doing nothing. Now I've done something, a small end-user something, a gradual slow start. This farewell Notepad-note is posted via Vivaldi. My next toot will be drafted on a blank Libre page with no AI checking anything. I shall wear my spelling mistakes and garbled syntax with pride."
Timnit Gebru (she/her).
Timnit Gebru (she/her).  ·  last month
I'm halfway through this article and I like the points made thus far, which I very much agree with.

https://prospect.org/power/2025-03-25-bubble-trouble-ai-threat/

But I want to have an aside on the level to which people uncritically use the term "foundation models" and discuss "reasoning" of these models, when it is very likely that the models literally memorized all these benchmarks. It truly is like the story of the emperor's clothes. Everyone seems to be in on it and you're the crazy one being like but HE HAS NO CLOTHES. 🧵

Manny Dexter
Manny Dexter  ·  last month

Content Warning

@timnitGebru

There are *many* problems with #AI. The biggest one, the one that subsumes the rest, is that it's *expensive*

And it's not even *good* at anything useful.

They call it "hallucination" but it's really sparkling #Fail. Any human doing a job with that level of fail would have been fired long ago.

Teixi
Teixi  ·  5 months ago

Content Warning

#reading#ML
Mitigating Bias in Machine Learning

Edited By @drcaberry
Brandeis Hill Marshall

„We dedicate this work to the diverse voices in #AI who work tirelessly to call out bias and work to mitigate it and advocate for #EthicalAI every day.
Some of the trailblazers doing the work are
@ruha9
@timnitGebru
@cfiesler
Joy Buolamwini
@ruchowdh
@safiyanoble
We also dedicate this work to the future engineers, scientists, and sociologists who will use it to inspire them to join the charge.“

Book Cover: Mitigating Bias in Machine Learning Edited by Carlotta A. Berry, Brandeis Hill Marshall https://www.mhprofessional.com/mitigating-bias-in-machine-learning-9781264922444-usa This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries. Edited by engineering and computing experts, Mitigating Bias in Machine Learning includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced. Mitigating Bias in Machine Learning addresses: Ethical and Societal Implications of Machine Learning Social Media and Health Information Dissemination Comparative Case Study of Fairness Toolkits Bias Mitigation in Hate Speech Detection Unintended Systematic Biases in Natural Language Processing Combating Bias in Large Language Models Recognizing Bias in Medical Machine Learning and AI Models Machine Learning Bias in Healthcare Achieving Systemic Equity in Socioecological Systems Community Engagement for Machine Learning
Book Cover: Mitigating Bias in Machine Learning Edited by Carlotta A. Berry, Brandeis Hill Marshall https://www.mhprofessional.com/mitigating-bias-in-machine-learning-9781264922444-usa This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries. Edited by engineering and computing experts, Mitigating Bias in Machine Learning includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced. Mitigating Bias in Machine Learning addresses: Ethical and Societal Implications of Machine Learning Social Media and Health Information Dissemination Comparative Case Study of Fairness Toolkits Bias Mitigation in Hate Speech Detection Unintended Systematic Biases in Natural Language Processing Combating Bias in Large Language Models Recognizing Bias in Medical Machine Learning and AI Models Machine Learning Bias in Healthcare Achieving Systemic Equity in Socioecological Systems Community Engagement for Machine Learning
Book Cover: Mitigating Bias in Machine Learning Edited by Carlotta A. Berry, Brandeis Hill Marshall https://www.mhprofessional.com/mitigating-bias-in-machine-learning-9781264922444-usa This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries. Edited by engineering and computing experts, Mitigating Bias in Machine Learning includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced. Mitigating Bias in Machine Learning addresses: Ethical and Societal Implications of Machine Learning Social Media and Health Information Dissemination Comparative Case Study of Fairness Toolkits Bias Mitigation in Hate Speech Detection Unintended Systematic Biases in Natural Language Processing Combating Bias in Large Language Models Recognizing Bias in Medical Machine Learning and AI Models Machine Learning Bias in Healthcare Achieving Systemic Equity in Socioecological Systems Community Engagement for Machine Learning
Figure 9.9 ML life cycle with bias indicators and mitigation techniques. (inspired by Herhausen & Fahse, 2022; Huang et al., 2022; and van Giffen et al., 2022) • Preprocessing bias mitigation techniques attempt to remove discrimination by adding more data or modifying the available training data. • In-processing bias mitigation techniques affect the algorithm itself and the learning procedure by imposing constraints, updating the objective function, or regularization. • Postprocessing bias mitigation techniques may be implemented following model deployment or during the re-evaluation period in which adjustments are made to the model decision thresholds or the model output, including relabeling. From book: Mitigating Bias in Machine Learning Edited by Carlotta A. Berry, Brandeis Hill Marshall https://www.mhprofessional.com/mitigating-bias-in-machine-learning-9781264922444-usa
Figure 9.9 ML life cycle with bias indicators and mitigation techniques. (inspired by Herhausen & Fahse, 2022; Huang et al., 2022; and van Giffen et al., 2022) • Preprocessing bias mitigation techniques attempt to remove discrimination by adding more data or modifying the available training data. • In-processing bias mitigation techniques affect the algorithm itself and the learning procedure by imposing constraints, updating the objective function, or regularization. • Postprocessing bias mitigation techniques may be implemented following model deployment or during the re-evaluation period in which adjustments are made to the model decision thresholds or the model output, including relabeling. From book: Mitigating Bias in Machine Learning Edited by Carlotta A. Berry, Brandeis Hill Marshall https://www.mhprofessional.com/mitigating-bias-in-machine-learning-9781264922444-usa
Figure 9.9 ML life cycle with bias indicators and mitigation techniques. (inspired by Herhausen & Fahse, 2022; Huang et al., 2022; and van Giffen et al., 2022) • Preprocessing bias mitigation techniques attempt to remove discrimination by adding more data or modifying the available training data. • In-processing bias mitigation techniques affect the algorithm itself and the learning procedure by imposing constraints, updating the objective function, or regularization. • Postprocessing bias mitigation techniques may be implemented following model deployment or during the re-evaluation period in which adjustments are made to the model decision thresholds or the model output, including relabeling. From book: Mitigating Bias in Machine Learning Edited by Carlotta A. Berry, Brandeis Hill Marshall https://www.mhprofessional.com/mitigating-bias-in-machine-learning-9781264922444-usa
HistoPol (#HP) 🏴 🇺🇸 🏴
HistoPol (#HP) 🏴 🇺🇸 🏴  ·  2 months ago

Content Warning

@timnitGebru

#Technofeudalists and the perceived #AI threat incongruence

(1/n)

I'm surprised that you as an #AI and #TESCREAL expert See a discrepancy in this. For the morbid and haughty minds of the #Longtermists line #Elon, there is no discrepancy, IMHO:

1) At least since Goebbels, fascists offen acuse others of what they have done or are about to do themselves; or they deflect, flood the zone, etc. That on a tactical/communications strategy level.

2) More...

WimⓂ️
WimⓂ️  ·  2 months ago

Content Warning

I compiled a short list of anti-AI tools. If you know of others, please add them

Anti-AI tools

Glaze
https://glaze.cs.uchicago.edu
Glaze is a system designed to protect human artists by disrupting style mimicry. At a high level, Glaze works by understanding the AI models that are training on human art, and using machine learning algorithms, computing a set of minimal changes to artworks, such that it appears unchanged to human eyes, but appears to AI models like a dramatically different art style.

Nightshade
https://nightshade.cs.uchicago.edu/
Nightshade, a tool that turns any image into a data sample that is unsuitable for model training

HarmonyCloak
https://mosis.eecs.utk.edu/harmonycloak.html
HarmonyCloak is designed to protect musicians from the unauthorized exploitation of their work by generative AI models. At its core, HarmonyCloak functions by introducing imperceptible, error-minimizing noise into musical compositions.

Kudurru
https://kudurru.ai
Actively block AI scrapers from your website with Spawning's defense network

Nepenthes
https://zadzmo.org/code/nepenthes/
This is a tarpit intended to catch web crawlers. Specifically, it's targetting crawlers that scrape data for LLMs - but really, like the plants it is named after, it'll eat just about anything that finds it's way inside.

AI Labyrinth
https://blog.cloudflare.com/ai-labyrinth/
Today, we’re excited to announce AI Labyrinth, a new mitigation approach that uses AI-generated content to slow down, confuse, and waste the resources of AI Crawlers and other bots that don’t respect “no crawl” directives.

More tools, suggested by comments on this posts:

Anubis
https://xeiaso.net/blog/2025/anubis/
Anubis is a reverse proxy that requires browsers and bots to solve a proof-of-work challenge before they can access your site.

Iocaine
https://iocaine.madhouse-project.org
The goal of iocaine is to generate a stable, infinite maze of garbage.

#NoToAI#AI

Jerry Orr
Jerry Orr  ·  2 months ago

Content Warning

"AIs want the future to be like the past, and AIs make the future like the past. If the training data is full of human bias, then the predictions will also be full of human bias, and then the outcomes will be full of human bias, and when those outcomes are copraphagically fed back into the training data, you get new, highly concentrated human/machine bias.”

From @pluralistichttps://pluralistic.net/2025/03/18/asbestos-in-the-walls/#government-by-spicy-autocomplete

#ai

Víctor Vicente-Palacios
Víctor Vicente-Palacios  ·  2 months ago

Content Warning

Great episode of #TechWontSaveUs with @timnitGebru

It's a real pleasure to listen to such a rich conversation on such diverse topics.

I especially liked how the topic of how the #AI industry labels people and methods was addressed.

It's the same for me, I've ended up assuming I'm a #DataScientist when I'm actually a #mechanical #engineer with a #PhD in #statistics. But the industry has decided that what I am is something I haven't studied about.

https://www.techwontsave.us/episode/267_ai_hype_enters_its_geopolitics_era_w_timnit_gebru

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