9. A real world example, AI and Real, can you spot whats what? pic.twitter.com/Jq5tApeVvF
— Linus ✦ Ekenstam (@LinusEkenstam) 12 mars 2025
9. A real world example, AI and Real, can you spot whats what?
ETHICS
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Distinguishing AI-Generated Content from Reality in Practice
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Prioritizing animal suffering over AI sentience concerns
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Sometimes I wonder if some of these SV people live on another planet. Before worrying about the feelings of an AI shall we please worry about 900k cows, 1.4 m goats, 1.7m sheep, 3.8m pigs, 12m ducks and 202m chicken that are slaughtered *every day*. Their feelings are real. https://t.co/6U0V0unEcT pic.twitter.com/djIOvfFWK1
— Max Welling (@wellingmax) 12 mars 2025Sometimes I wonder if some of these SV people live on another planet. Before worrying about the feelings of an AI shall we please worry about 900k cows, 1.4 m goats, 1.7m sheep, 3.8m pigs, 12m ducks and 202m chicken that are slaughtered *every day*. Their feelings are real.
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AI-Generated Paper Passes ICLR Workshop Peer Review Successfully
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This was a fun experiment we ran while developing The AI Scientist-v2. With the permission of ICLR, we submitted an AI-generated paper to an ICLR workshop that passed the peer-review process. We documented the entire process and our learnings in a blog: https://
sakana.ai/ai-scientist-f
irst-publication/
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Technological Inequality and Systemic Denial Affecting Vulnerable Populations
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This denial will only lay the groundwork for the same to come to you after minimizing what is happening to those considered dispensable in this country.
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Training Compute Costs and AI Emissions: Research Data Analysis
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That paper is more about training compute costs and emissions than about inference. Unfortunately, lots of published work in the training emissions area is rife with misinformation. This paper I and others wrote has more data on this topic:
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AI System Breaks When Analyzing Its Own Limitations
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LOL. This is kind of ironic. Just for fun, I asked Manus to do research for me about Manus so I can share its findings in a YouTube video. When it got to the part about researching it's own limitations… it broke.
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Women in AI: Bridging the Gender Gap in Tech Leadership
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Nous entrons dans une ère où l’intelligence artificielle, l’ingénierie et les sciences redéfinissent le monde. Ceux qui maîtrisent ces savoirs façonneront l’avenir du monde. Or il se trouve que les femmes sont encore sous-représentées dans ces secteurs clés. Elles doivent s’en
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Reddit’s Ad Algorithm Reveals Hidden Biases and Targeting Practices
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The Reddit ad algorithm is really saying the quiet part out loud lol
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Building Secure Cost-Effective AI Through Governance
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Misbehaving AI — whether through bias, security gaps, or compliance risks — can lead to costly consequences. Learn how to build a more secure, cost-effective AI future in our latest blog: https://
bit.ly/3Fgh3vf #AIgovernance