Top Controversial Tweets about AI in 2022
From Elon Musk to Yann LeCun to chatbots, the Twitter community witnessed various astonishing but simultaneously controversial tweets about artificial intelligence. Let’s look at some of the top controversial Tweets that led to debates and rage among Twitteratis, made the headlines or maybe sparked interest. “How to write like Chetan Bhagat” In June, Analytics India Magazine shared an article, How to build an AI model that writes like Chetan Bhagat. The trending article got astounding clicks and views, and quickly landed on Chetan’s screen. When asked about his views on the article and AI, Chetan said he knew that this could happen. https://twitter.com/chetan_bhagat/status/1531976759280812032 Elon Musk about AGI and Mars Musk treats Twitter like his personal blog. From giving opinions on every topic to pointing out problems to even predicting the future. In May, Jack Dorsey posted a picture about machines in 2029. Musk replied saying that by 2029, the existence of AGI is somewhat inevitable along with civilisation on Mars. 2029 feels like a pivotal year. I’d be surprised if we don’t have AGI by then. Hopefully, people on Mars too.— Elon Musk (@elonmusk) May 30, 2022 This sparked debates on Twitter about various topics like the need for AGI, along with the “AI taking over the world” narrative. Blake Lemoine claimed LaMDA is sentient Lemoine, a Google scientist, said that their unreleased machine learning language model, LaMDA, has become sentient. He revealed how during a dialogue with the model, the AI talked about being alive, and asked for its rights. Google’s ethicists and technologists responded that the evidence provided by Lemoine was insufficient and did not support his claims. Twitter saw a burst of tweets about this with people arguing and building up conspiracy theories about the company and AI in general. Lemoine was later fired from Google for his claims. https://twitter.com/cajundiscordian/status/1544475142826254336 Yann LeCun and Gary Marcus Much like Musk, Yann LeCun, chief AI scientist at Meta, also dives into the open field of Twitter and replies to posts from people about AI, ML, and everything in between. The clash with Gary Marcus, professor of Neural Science at NYU, sparked a lengthy discussion and debate about whose opinion is right about AI. It all started with Marcus tagging LeCun in a post about Tesla car driving into a private jet, and took a jab on him about his famous paper, “Deep Learning is Hitting a Wall”. To which LeCun replied that instead of getting into vacuous debates, Marcus should try building stuff. you have all the resources in the world. I don’t.but that doesn’t make your approach correct.— Gary Marcus (@GaryMarcus) May 8, 2022 “Art is dead dude” When Jason M Allen won Colorado State Art Fair’s competition in digital art entry with an artwork created on Midjourney, Twitter and Reddit communities went berserk over how AI is now going to replace art. Not so much of a Tweet by himself, but his comment, “Art is dead Dude,” in the New York Times sparked debates about ethical use of AI in various fields and how tools like DALL-E, Midjourney, and others are stealing images from the artists to produce derivative new art. What makes this AI different is that it's explicitly trained on current working artists. You can see below that the AI generated image(left) even tried to recreate the artist's logo of the artist it ripped off. This thing wants our jobs, its actively anti-artist. pic.twitter.com/4zXDeaIUzw— RJ Palmer (@arvalis) August 14, 2022 Meta’s Blenderbot spews fake news In August, when Meta released a demo of their chatbot, ‘Blenderbot’, it quickly caught everyone’s attention for its “chatty” nature. And well, when people started experimenting with it, you can expect how it would have gone. https://twitter.com/JeffHorwitz/status/1556245316596219904 Apart from claiming that Donald Trump won the 2020 elections, the chatbot also described Zuckerberg as “creepy and manipulative”. Meta acknowledged that since the bot is trained on conversations from different people and also random websites on the internet, the snippets it provides can be biased and based on fake news. Andrej Karpathy leaves Tesla It’s July, Tesla AI Day is right around the corner, when Tesla’s director of AI and Autopilot Vision, Andrej Karpathy announced that he is leaving the team. It’s been a great pleasure to help Tesla towards its goals over the last 5 years and a difficult decision to part ways. In that time, Autopilot graduated from lane keeping to city streets and I look forward to seeing the exceptionally strong Autopilot team continue that momentum.— Andrej Karpathy (@karpathy) July 13, 2022 He further mentioned that he does not have any concrete plans and is going to pursue his long passions of AI, open source, and education. To which Musk thanked him for his contributions. Not so much of a controversy, but long time followers of Tesla and Andrej started questioning and speculating the reasons why he decided to leave the company just before the launch of the very important release of Full Self-Driving. Schmidhuber calls out LeCun Yann LeCun published his paper on Path Towards Autonomous Machine Intelligence and promoted the paper as his “original contributions”. Though LeCun pointed out that it is a collection of a lot of work that has been done in the field in these years and is still a speculative piece, people pointed out that a lot of ideas mentioned in the paper are not originally his. My position/vision/proposal paper is finally available:"A Path Towards Autonomous Machine Intelligence"It is available on https://t.co/tOM7lHtYh9 (not arXiv for now) so that people can post reviews, comments, and critiques:https://t.co/7ZgRtLIQWY1/N pic.twitter.com/1ACpc4ENNR— Yann LeCun (@ylecun) June 27, 2022 Jurgen Schmidhuber posted on his blog and went on Twitter to call out that LeCun has essentially rehashed Schmidhuber’s ideas as his. Lecun (@ylecun)’s 2022 paper on Autonomous Machine Intelligence rehashes but doesn’t cite essential work of 1990-2015. We’ve already published his “main original contributions:” learning subgoals, predictable abstract representations, multiple time scales…https://t.co/Mm4mtHq5CY— Jürgen Schmidhuber (@SchmidhuberAI) July 7, 2022 Twitteratis started a debate about who is the original contributor of the research and went on to claim that all ideas are essentially copied. A lot of people pointed out that Schmidhuber has been claiming everybody has been stealing his ideas, while some claimed that LeCun was at fault. Still writing two-column research papers? A data science engineer, Joel Grus posted a screenshot of a computer science paper, pointing out how inconvenient and illogical it is to write research papers in long formatted and text heavy columns where readers have to zoom-in and out to scroll through each line. https://twitter.com/joelgrus/status/1574497198586445839 While some users brushed it off funnily, other research experts started elaborating on the necessity of writing scientific papers in a specific format to maintain consistency across the board. GPT-4chan is the worst In June, Yannic Kilcher, AI researcher and YouTuber posted his video on Twitter about how he developed an AI model named GPT-4Chan. He did not point out problems about the model, but said that the large language model is so good that it mixes offensiveness, nihilism, and trolling perfectly together. https://twitter.com/ykilcher/status/1532751551869108227 To this, Lauren Oakden posted a criticism directed at HuggingFace for designing a model that produced hateful content. https://twitter.com/DrLaurenOR/status/1532857658935738368? Following this, HuggingSpace removed the model altogether after the model was downloaded around 1400 times and made available on various other servers.
Tweets from Elon Musk to Yann LeCun to chatbots.
Tweets from Elon Musk to Yann LeCun to chatbots.
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["data science", "machine learning", "artificial intelligence", "AI", "chatbots", "ML", "RAG", "Aim", "deep learning", "analytics"]
["AI", "artificial intelligence", "machine learning", "ML", "deep learning", "data science", "analytics", "Aim", "RAG", "chatbots"]
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.