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남정현 @rkttu@hackers.pub
Public

"빠른 RAG"가 아니라 "내 데이터를 내가 소유하는 RAG"를 만들고 싶었습니다.

기술과 프레임워크를 만드는 과정은 결코 쉽지 않습니다. 실제 현장의 피드백을 듣고 방향을 잡아가는 일이 때로는 힘들지만, 꼭 거쳐가야 할 관문이겠죠.

너도 나도 빠르게 돈을 태워 RAG를 구축해가는 상황 속에서, 빈자의 RAG, 정제된 RAG, 통제 가능한 RAG를 만들어보고 싶다는 생각으로 출발한 아이디어를 계속 다듬어 나가고 있습니다.

👉 https://github.com/rkttu/reconsidered_rag

A semantic chunking tool using the BGE-M3 embedding model. - rkttu/reconsidered_rag

GitHub - rkttu/reconsidered_rag: A semantic chunking tool using the BGE-M3 embedding model.

A semantic chunking tool using the BGE-M3 embedding model. - rkttu/reconsidered_rag

github.com · GitHub

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heise online @heiseonline@social.heise.de
Public

Pinterest: Hunderte Entlassungen sollen Ressourcen für KI freisetzen

Pinterest plant, bis zu fünfzehn Prozent der Belegschaft zu entlassen. Das soll mehr Ressourcen für die Entwicklung von KI-Funktionen und -Produkten freisetzen.

heise.de/news/Pinterest-Hunder

Pinterest: Hunderte Entlassungen sollen Ressourcen für KI freisetzen

Pinterest plant, bis zu fünfzehn Prozent der Belegschaft zu entlassen. Das soll mehr Ressourcen für die Entwicklung von KI-Funktionen und -Produkten freisetzen.

www.heise.de · heise online

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Karen Sandler @karen@floss.social
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@b0rkJulia Evans This is definitely not too big of a question, but it's a serious one! We too worry about free software culture, which I agree can be dogmatic and rigid. We at have worked hard to keep ourselves focused on our ethics and principles, while also acknowledging that we live in a complex world.

We've acknowledged how difficult it is to live in a purely world. You can see the keynotes @bkuhnBradley M. Kuhn and I gave over the years, here's one from :

archive.fosdem.org/2019/schedu

FOSDEM 2019 - Can Anyone Live in Full Software Freedom Today?

archive.fosdem.org

Karen Sandler @karen@floss.social
Public

@b0rkJulia Evans We strive to stay open to new technology and new ways of doing things, while remaining focused on how things could and should be. You can see the aspirational statement we made about :

sfconservancy.org/news/2024/oc

We seek to frame things positively and meet people where they are while not shying away from difficult conversations

We choose to personally inconvenience ourselves so others experience freedom, even if it means we ourselves have to use more proprietary software.

SFC Announces Aspirational Statement on LLM-backed generative AI for Programming

In 2022, Software Freedom Conservancy (SFC) convened a committee in the wake of Microsoft's GitHub Copilot announcement, to meet and begin considering the complex questions that arise from the use of large language models (LLMs) in generative AI systems that seek to assist software developers.Today, we announce a joint statement by this committee, entitled Machine-Learning-Assisted Programming that Respects User Freedom.

sfconservancy.org · Software Freedom Conservancy

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Miguel Afonso Caetano @remixtures@tldr.nettime.org
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That's Late Stage Capitalism for you:

"More than 20% of the videos that YouTube’s algorithm shows to new users are “AI slop” – low-quality AI-generated content designed to farm views, research has found.

The video-editing company Kapwing surveyed 15,000 of the world’s most popular YouTube channels – the top 100 in every country – and found that 278 of them contain only AI slop.

Together, these AI slop channels have amassed more than 63bn views and 221 million subscribers, generating about $117m (£90m) in revenue each year, according to estimates.

The researchers also made a new YouTube account and found that 104 of the first 500 videos recommended to its feed were AI slop. One-third of the 500 videos were “brainrot”, a category that includes AI slop and other low-quality content made to monetise attention.

The findings are a snapshot of a rapidly expanding industry that is saturating big social media platforms – from X to Meta to YouTube – and defining a new era of content: decontextualised, addictive and international.

A Guardian analysis this year found that nearly 10% of YouTube’s fastest-growing channels were AI slop, racking up millions of views despite the platform’s efforts to curb “inauthentic content”."

theguardian.com/technology/202

More than 20% of videos shown to new YouTube users are ‘AI slop’, study finds

Low-quality AI-generated content is now saturating social media – and generating about $117m a year, data shows

www.theguardian.com · the Guardian

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Jeffrey Paul @jeffpaul@mastodon.social
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I published a personal recap of State of the Word 2025, with a focus on the AI panel I joined with Mary Hubbard, Matt Mullenweg, Felix Arntz, and James LePage.

I also wrote about the work behind the AI Experiments plugin and what it means for the future of AI in WordPress.

jeffpaul.com/2025/12/reflectio

Florian Berger (privat) @flberger@nerdculture.de
Public

@jeffpaulJeffrey Paul

It's sad and shocking to see everyone losing their mind in real time.

There are some glaring obvious issues to be discussed when it comes to integration: environmental issues, issues of power and control, of accountability and impacts on society.

None of which are addressed when is discussing .

We lost , we are losing , so a bunch of libertarians and their investors can wreck what's left of the western world. Sad times.

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kyu3（キューさん） :vivaldi_red: @kyu3a@vivaldi.net
Public

このChrome「拡張機能」を今すぐ削除せよ、生成AIとの会話を収集し第三者に販売 | Forbes JAPAN 公式サイト
forbesjapan.com/articles/detai

『・Urban VPN Proxy
・1ClickVPN Proxy for Chrome
・Urban Browser Guard
・Urban Ad Blocker』

『インストール後に、自動アップデートすることで会話を傍受・取得する機能を追加』

このChrome「拡張機能」を今すぐ削除せよ、生成AIとの会話を収集し第三者に販売 | Forbes JAPAN 公式サイト（フォーブス ジャパン）

ブラウザーの拡張機能の中に、生成AIとの会話内容などを取得し、外部へ共有しているものがあることが発覚した。設定で止める手段はなく、削除が必要だ。該当拡張を入れている利用者は、2025年7月以降の会話が外部に渡った可能性を前提に対応すべきだ。...

forbesjapan.com

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Ben Waber @bwaber@hci.social
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My piece with Nate Fast in HBR on generative AI and productivity is out today! I'm really proud of this piece, and I'm hoping it moves the conversation forward in this vital area. Also we violate Betteridge's law with this headline 😁

hbr.org/2024/01/is-genais-impa

Is GenAI’s Impact on Productivity Overblown?

Generative AI like LLMs have been touted as a boon to collective productivity. But the authors argue that leaning into the hype too much could be a mistake. Assessments of productivity typically focus on the task level and how individuals might use and benefit from LLMs. Using such findings to draw broad conclusions about firm-level performance could prove costly. The authors argue that leaders need to understand two core problems of LLMs before adopting them company-wide: 1) their persistent ability to produce convincing falsities and 2) the likely long-term negative effects of using LLMs on employees and internal processes. The authors outline a long-term perspective on LLMs, as well as what kinds of tasks LLMs can perform reliably.

hbr.org · Harvard Business Review

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Metin Seven 🎨 @metin@graphics.social
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All mentions of "AI" should be changed into "Brain Rot Inducer"…

"Do you want the Brain Rot Inducer to summarize this text for you?"

"The Brain Rot Inducer can auto-answer this e-mail for you!"

"Let the Brain Rot Inducer write this social media post for you!"

"Easily generate an image with the Brain Rot Inducer, and call it your own creation!"

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Miguel Afonso Caetano @remixtures@tldr.nettime.org
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"AI chatbots have conquered the world, so it was only a matter of time before companies started stuffing them into toys for children, even as questions swirled over the tech’s safety and the alarming effects they can have on users’ mental health.

Now, new research shows exactly how this fusion of kid’s toys and loquacious AI models can go horrifically wrong in the real world.

After testing three different toys powered by AI, researchers from the US Public Interest Research Group found that the playthings can easily verge into risky conversational territory for children, including telling them where to find knives in a kitchen and how to start a fire with matches. One of the AI toys even engaged in explicit discussions, offering extensive advice on sex positions and fetishes.

In the resulting report, the researchers warn that the integration of AI into toys opens up entire new avenues of risk that we’re barely beginning to scratch the surface of — and just in time for the winter holidays, when huge numbers of parents and other relatives are going to be buying presents for kids online without considering the novel safety issues involved in exposing children to AI."

futurism.com/artificial-intell

AI-Powered Toys Caught Telling 5-Year-Olds How to Find Knives and Start Fires With Matches

AI-powered toys are flying off the shelves -- but they're engaging in horrifically inappropriate conversations with children.

futurism.com · Futurism

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FoW @FoW@netsphere.one
Public

인공지능 (AI) 발전과 신뢰 기반 조성 등에 관한 기본법' (약칭: AI 기본법)

* 2026년 1월 22일 시행.
* AI 사업자는 이용자에게 서비스가 AI 기술을 사용한다는 사실을 고지해야 한다. (예: "이 챗봇은 AI입니다.")
* AI 사업자는 생성형 AI를 활용해 만든 컨텐트의 경우, AI에 의해 생성되었음을 명확히 표시해야 한다.
* 위와 같은 '고지 및 표시 의무'를 위반할 경우, 3천만 원 이하의 과태료가 부과될 수 있다.
* 국내에 주소나 영업소가 없고 일정 기준을 충족한 해외 AI 사업자는 AI 관련 업무를 처리할 국내 대리인을 의무적으로 지정해야 한다.

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Miguel Afonso Caetano @remixtures@tldr.nettime.org
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"Cybersecurity researchers have disclosed a new set of vulnerabilities impacting OpenAI's ChatGPT artificial intelligence (AI) chatbot that could be exploited by an attacker to steal personal information from users' memories and chat histories without their knowledge.

The seven vulnerabilities and attack techniques, according to Tenable, were found in OpenAI's GPT-4o and GPT-5 models. OpenAI has since addressed some of them.

These issues expose the AI system to indirect prompt injection attacks, allowing an attacker to manipulate the expected behavior of a large language model (LLM) and trick it into performing unintended or malicious actions, security researchers Moshe Bernstein and Liv Matan said in a report shared with The Hacker News."

thehackernews.com/2025/11/rese

Researchers Find ChatGPT Vulnerabilities That Let Attackers Trick AI Into Leaking Data

Researchers Find ChatGPT Vulnerabilities That Let Attackers Trick AI Into Leaking Data | Read more hacking news on The Hacker News cybersecurity news website and learn how to protect against cyberattacks and software vulnerabilities.

thehackernews.com · The Hacker News

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Miguel Afonso Caetano @remixtures@tldr.nettime.org
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"To be clear, everybody is losing money on AI. Every single startup, every single hyperscaler, everybody who isn’t selling GPUs or servers with GPUs inside them is losing money on AI. No matter how many headlines or analyst emissions you consume, the reality is that big tech has sunk over half a trillion dollars into this bullshit for two or three years, and they are only losing money.

So, at what point does all of this become worth it?

Actually, let me reframe the question: how does any of this become worthwhile?Today, I’m going to try and answer the question, and have ultimately come to a brutal conclusion: due to the onerous costs of building data centers, buying GPUs and running AI services, big tech has to add $2 Trillion in AI revenue in the next four years. Honestly, I think they might need more.

No, really. Big tech has already spent $605 billion in capital expenditures since 2023, with a chunk of that dedicated to 5-year-old (A100) and 4-year-old (H100) GPUs, and the rest dedicated to buying Blackwell chips that The Information reports have gross margins of negative 100%:"

wheresyoured.at/big-tech-2tr/

Big Tech Needs $2 Trillion In AI Revenue By 2030 or They Wasted Their Capex

As I've established again and again, we are in an AI bubble, and no, I cannot tell you when the bubble will pop, because we're in the stupidest financial era since the great financial crisis — though, I hope, not quite as severe in its eventually apocalyptic circumstances. By the end

www.wheresyoured.at · Ed Zitron's Where's Your Ed At

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Paris Marx @parismarx@mastodon.online
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The AI industry wants us to believe AI superintelligence is the real threat from generative AI.

But that narrative was crafted to distract from the many ways genAI is being used to tear our societies apart, as we saw this week when a deepfake video rocked the Irish election. It must be reined in.

disconnect.blog/generative-ai-

Generative AI is a societal disaster

Governments are deluding themselves into believing investment justifies allowing AI to upend society

disconnect.blog · Disconnect

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Miguel Afonso Caetano @remixtures@tldr.nettime.org
Public

"Google AI overviews are misleading or inaccurate in 37% of finance-related searches, according to The College Investor's latest analysis. This is an improvement from last year, where 43% of AI Overviews were inaccurate - but a one-third error rate is troubling when it comes to personal finance.

This is causing consumer confusion, and potentially harming Americans' finances. The overviews were especially bad when it comes to tax, insurance, and financial aid related queries.

What's Happening: Over the last several years, Google has been rolling out AI-driven answers in search results. At the top of the search results they show AI Overviews, and they're now expanding the use of AI Mode. The problem is they are plagued with inaccurate answers. And experts say it's a serious issue."

thecollegeinvestor.com/66208/3

We Asked Google Search 100 Money Questions - Here’s What It Got Wrong

Google’s AI Overviews still struggles with personal finance topics, from student loans to taxes, according to new research.

thecollegeinvestor.com · The College Investor

Link author: The College Investor@thecollegeinvestor@mastodon.social

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kyu3（キューさん） :vivaldi_red: @kyu3a@vivaldi.net
Public

Sora 2がもたらすステマ天国、書籍の表紙画像と簡単なプロンプトで新刊PRのステマ動画があっという間に完成 【生成AI事件簿】氾濫する違法マーケティング、私たちは高度な動画生成AIの悪用を防ぐことはできるのか？(1/5) | JBpress (ジェイビープレス)
jbpress.ismedia.jp/articles/-/

Sora 2がもたらすステマ天国、書籍の表紙画像と簡単なプロンプトで新刊PRのステマ動画があっという間に完成 【生成AI事件簿】氾濫する違法マーケティング、私たちは高度な動画生成AIの悪用を防ぐことはできるのか？ | JBpress (ジェイビープレス)

　ここ1週間はまさに、OpenAIがリリースした新しい動画生成AIアプリ「Sora（ソラ） 2」の週だったと言えるだろう。Sora 2は初代Soraの性能を大幅にアップさせたAIで、(1/5)

jbpress.ismedia.jp · JBpress（日本ビジネスプレス）

kyu3（キューさん） :vivaldi_red: @kyu3a@vivaldi.net
Public

『OpenAIが新たな動画生成AI「Sora 2」を公開したが、同社は「公人の描写をデフォルトでブロックする」と明言している。しかし、この制限には大きな抜け穴があり、「すでに亡くなっている公人の映像生成は許可されている」ことが判明。その結果として、SNS上では故人を自由にAI動画で再現する例が続々と登場している』

OpenAIのSora 2、「マイケル・ジャクソンがコメディ」など故人の動画を続々作成 | Gadget Gate
gadget.phileweb.com/post-11113

OpenAIのSora 2、「マイケル・ジャクソンがコメディ」など故人の動画を続々作成 | Gadget Gate

OpenAIが新たな動画生成AI「Sora 2」を公開したが、同社は「公人の描写をデフォルトでブロックする」と明言している。しかし、この制限には大きな抜け穴があ

gadget.phileweb.com · Gadget Gate

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kyu3（キューさん） :vivaldi_red: @kyu3a@vivaldi.net
Public

Sora 2がもたらすステマ天国、書籍の表紙画像と簡単なプロンプトで新刊PRのステマ動画があっという間に完成 【生成AI事件簿】氾濫する違法マーケティング、私たちは高度な動画生成AIの悪用を防ぐことはできるのか？(1/5) | JBpress (ジェイビープレス)
jbpress.ismedia.jp/articles/-/

Sora 2がもたらすステマ天国、書籍の表紙画像と簡単なプロンプトで新刊PRのステマ動画があっという間に完成 【生成AI事件簿】氾濫する違法マーケティング、私たちは高度な動画生成AIの悪用を防ぐことはできるのか？ | JBpress (ジェイビープレス)

　ここ1週間はまさに、OpenAIがリリースした新しい動画生成AIアプリ「Sora（ソラ） 2」の週だったと言えるだろう。Sora 2は初代Soraの性能を大幅にアップさせたAIで、(1/5)

jbpress.ismedia.jp · JBpress（日本ビジネスプレス）

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kyu3（キューさん） :vivaldi_red: @kyu3a@vivaldi.net
Public

Sora 2で生成の動画、別SNSに“AI素性隠して”大量投稿し再生数荒稼ぎ　ウォーターマークを消すツールとアルトマン氏の著作権への対応（生成AIクローズアップ） | テクノエッジ TechnoEdge
techno-edge.net/article/2025/1

『本来、Sora 2で生成された動画にはウォーターマークが自動的に付与される仕組みになっています。このマークは、コンテンツがAI生成であることを明示し、透明性を確保するための機能です』

『一方で、Sora 2のウォーターマークを除去するWebサービスが早くも登場しています。試してみましたが、ブラウザ上で数分のうちに除去が完了しました』

『現在のSora 2はアニメキャラクターなどの著作権に引っかかるであろう二次創作も可能にしています。つまり非実在だけでなく、既存キャラクターや人物の動画も生成可能であり、投稿もあっさりできる状況です。このような状況の中で、SNSプラットフォーム側も対応を検討していると考えられます』

Sora 2で生成の動画、別SNSに“AI素性隠して”大量投稿し再生数荒稼ぎ　ウォーターマークを消すツールとアルトマン氏の著作権への対応（生成AIクローズアップ） | テクノエッジ TechnoEdge

今回は動画生成AI「Sora 2」を悪用する動きと、OpenAIのサム・アルトマンCEOが著作権に関した今後の変更方針を言及した内容を取り上げます。

www.techno-edge.net · テクノエッジ TechnoEdge

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Miguel Afonso Caetano @remixtures@tldr.nettime.org
Public

"A recent report by content delivery platform company Fastly found that at least 95% of the nearly 800 developers it surveyed said they spend extra time fixing AI-generated code, with the load of such verification falling most heavily on the shoulders of senior developers.

These experienced coders have discovered issues with AI-generated code ranging from hallucinating package names to deleting important information and security risks. Left unchecked, AI code can leave a product far more buggy than what humans would produce.

Working with AI-generated code has become such a problem that it’s given rise to a new corporate coding job known as “vibe code cleanup specialist.”

TechCrunch spoke to experienced coders about their time using AI-generated code about what they see as the future of vibe coding. Thoughts varied, but one thing remained certain: The technology still has a long way to go.

“Using a coding co-pilot is kind of like giving a coffee pot to a smart six-year-old and saying, ‘Please take this into the dining room and pour coffee for the family,’” Rover said.

Can they do it? Possibly. Could they fail? Definitely. And most likely, if they do fail, they aren’t going to tell you. “It doesn’t make the kid less clever,” she continued. “It just means you can’t delegate [a task] like that completely.”"

techcrunch.com/2025/09/14/vibe

Vibe coding has turned senior devs into ‘AI babysitters,’ but they say it’s worth it | TechCrunch

TechCrunch spoke to experienced coders about their time using AI-generated code about what they see as the future of vibe coding.

techcrunch.com · TechCrunch

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lkngrrr 🏳️‍🌈🏳️‍⚧️🏴‍☠️ @lkngrrr@hachyderm.io
Public

, , , and all of that hokey nonsense shall not appear in my roadmaps as anything other than a neat research item until it can demonstrate a feasible path to or mathematical completeness.

I lead on the largest mobile- fleet known to humankind. I will not entrust decisions that could maim or kill to a pile of nondeterminate math prone to “hallucinations” or confabulation.

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Xe :verified: @cadey@pony.social
Public

Diffusion models are a kabbalistic miracle of math. At the core, they’re just incredibly advanced denoising systems, formally known as Denoising Diffusion Probabilistic Models (DDPMs), e.g. Stable Diffusion and DALLE-2.

During training, the model is shown hundreds of millions of images paired with text descriptions. To teach it how to "clean up" noisy images, we intentionally add random noise to each training image. The model’s job is to learn how to reverse it using the text prompt as a guide for where and how to remove the noise.

When you generate an image, the model performs this process in reverse. It starts with a latent space of pure random noise and gradually subtracts more and more noise with each diffusion step. It's synthesizing an image from scratch by removing all of the noise until the image remains, organizing the chaos into whatever you asked it to generate.

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Roseanna Cunningham 🏴󠁧󠁢󠁳󠁣󠁴󠁿🖖 @strathearnrose@mastodon.scot
Public

Intro Post: Obvs

All things

I’m also interested in & its potential impact on politics

My first proper word was ‘book’ so expect - and because I’ve been hooked since the days of Outer Limits & the Twilight Zone

All things

stuff - & some other beasties - & & er 😂🖖🖖

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Pretergeek @pretergeek@mstdn.social
Public

It has been know for a long time that, when it comes to AI training, quality is much more important than quantity. Yet Big Tech goes for quantity because it is cheaper and takes less time to train a model on non-curated garbage scrapped from the internet than taking the time and the (human) effort of curating the data. That is one of the problems with their models: Garbage in, garbage out.

bloomberg.com/news/articles/20

Thread 1/3

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Alvin Ashcraft 🐿️ @alvinashcraft@hachyderm.io
Public

AI Repo of the Week: Generative AI for Beginners with JavaScript | by Dan Wahlin.

blog.codewithdan.com/ai-repo-o

AI Repo of the Week: Generative AI for Beginners with JavaScript – Code with Dan Blog

<p>A fun, hands-on learning journey that teaches JavaScript developers how to build AI-powered apps using generative AI and large language models. Introduction Ready to explore the fascinating world of Generative AI using your JavaScript skills? This week’s featured repository, Generative AI for Beginners with JavaScript, is your launchpad into the future of application development. Whether you’re […]</p>

blog.codewithdan.com

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Jon Ippolito @jonippolito@digipres.club
Public

It's official! We've launched a toolkit to help teachers and students adapt classes to the sudden rise of generative AI. Browse recommended policies, watch tutorials, and learn strategies for integrating—or excluding—text- and media-generators in your classes.

umaine.edu/learnwithai

Learning With AI graphic
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Morgan Aldridge @morgant@mastodon.social
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said computers are "bicycles for the mind." Bicycles use geometry & physics to help one go further under the same amount of effort they themselves put in.

I feel are "escalators for the mind". Escalators are expensive, complex, inefficient machines that churn constantly whether used or not. A convenience. They _are_ a helpful assistive device for those that need it — and many do! — and you _can_ to go further, faster, if putting in effort, but _most_ use for laziness.

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José A. Alonso @Jose_A_Alonso@mathstodon.xyz
Public

Bullshit universities: the future of automated education. ~ Robert Sparrow, Gene Flenady. link.springer.com/article/10.1

Bullshit universities: the future of automated education - AI & SOCIETY

The advent of ChatGPT, and the subsequent rapid improvement in the performance of what has become known as Generative AI, has led to many pundits declaring that AI will revolutionize education, as well as work, in the future. In this paper, we argue that enthusiasm for the use of AI in tertiary education is misplaced. A proper understanding of the nature of the outputs of AI suggests that it would be profoundly misguided to replace human teachers with AI, while the history of automation in other settings suggests that it is naïve to think that AI can be developed to assist human teachers without replacing them. The dream that AI could teach students effectively neglects the importance of ‘learning how’ in order to ‘learn that’, that teachers are also role models, and the social nature of education. To the extent that students need to learn how to use AI, they should do so in specialized study skills units. Rather than creating a market for dodgy educational AI by lowering their ambitions about what they can offer, universities should invest in smaller class sizes and teachers who are passionate about their disciplines. To flourish in the future, just as much as they do today, societies will need people who have learned to think and not—or not just—intelligent machines.

link.springer.com · SpringerLink

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pixelworld_AI @pixelworld_ai@aipub.social
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Till Kleisli @kleisli@mastodon.social
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It was on my todo list for a long time and now I'm - writing in En and De, darum auch

Interested in

I found some active accounts from organisations but it seems to be harder to find accounts representing persons.

Can you recommend me any accounts from Switzerland or accounts focussing on AI? :)

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Dr. Anna Latour @anna@mathstodon.xyz
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Now starting at ICT.OPEN: a panel discussion on the Future of Education in the Era of Generative AI. As a freshly-minted assistant professor with increasingly many teaching responsibilities, I am keen!

ictopen.nl/programme/the-futur















Five people sitting on a stage in front of a slide that says: Plenary session - The future of Education in the Era of Generative AI.
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