Yeah, I've been reading through the source code too. It's quite interesting. What's really interesting is that a lot of it is run by neural networks that we can't see inside of; we don't know the weights, for instance, but we can see the effect. My feed is generally better today
ETHICS
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Questioning the term ‘intelligence’ for AIs
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Many question the term 'intelligence' applied to AIs: I recommend they read this
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National Security and AI: Avoiding Isolated Analysis
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You can’t think about this issue in isolation, especially if you’ve decided you’re now a national security expert
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Preferring Factual Accuracy Over Conversational Charm
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Exactly. ‘Dull in chats’ is a feature when the goal is don’t invent facts. Love the auditor mindset here.
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AI Ethics and Responsibility in Marketing Leadership 2026
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2025 made #AI invisible infrastructure powering #marketing, media, analytics, and even social platforms themselves. #SocialMedia channels evolved into civic spaces shaping narratives, trust, and human connection. As we enter 2026, the challenge isn’t just speed, efficiency, or personalization—it’s responsibility. Leaders must embed ethics, transparency, and human-centered design into every decision. Success will be measured not only in engagement or ROI but in trust, clarity, and the quality of relationships we foster. The brands and leaders who thrive will treat AI as a tool to amplify human judgment, not replace it, and will see social platforms not only as performance channels but as spaces of shared responsibility. The future of marketing is consequential—and it demands intentionality. Read my full article here: nitter.net/TamaraMcCleary/status/… #AIMarketing #Leadership
→ View original post on X — @tamaramccleary, 2026-01-20 15:15 UTC
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Agent Swarms: Why Parallel Agents Break in Practice
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“Parallel agents are easy when they’re read-only. It gets complicated the moment they change files, send emails, or touch the real world.”
— AI21 Labs (@AI21Labs) 20 janvier 2026
This week’s Yet Another AI Podcast unpacks the Agent Swarm Fallacy with Or Dagan (CPO, @AI21Labs): why “just add agents” breaks in practice,… pic.twitter.com/gxmgiTR1gq“Parallel agents are easy when they’re read-only. It gets complicated the moment they change files, send emails, or touch the real world.” This week’s Yet Another AI Podcast unpacks the Agent Swarm Fallacy with Or Dagan (CPO, @AI21Labs
): why “just add agents” breaks in practice, -
Claude Code and AI Safety: Key Stories This Week
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Top stories in AI today: – Claude Code rattles software stocks
– Ex-OpenAI policy lead’s AI safety nonprofit
– Optimize prompting with this Markdown strategy
– Anthropic’s Economic Index 2026
– 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/claude-code-
sparks-selfware-era
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Demis Hassabis Questions AI’s Ability to Create Novel Science
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Demis Hassabis, à la tête de Google DeepMind, pose une question qui dérange : l'enjeu n'est plus de savoir si l'IA peut résoudre des problèmes. La vraie question, c'est sa capacité à créer de la science inédite.
— VISION IA (@vision_ia) 20 janvier 2026
"Pour l'instant, elle en est incapable."
Et ce n'est ni une… pic.twitter.com/kbt8iLa7r1Demis Hassabis, à la tête de Google DeepMind, pose une question qui dérange : l'enjeu n'est plus de savoir si l'IA peut résoudre des problèmes. La vraie question, c'est sa capacité à créer de la science inédite. "Pour l'instant, elle en est incapable." Et ce n'est ni une
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Transparency and Weight Accessibility in Open Source AI Models
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It's a good thing that it's open source so that we can analyze it. Whether the algorithm is any good or not relies on the neural network that is being called by the structure we can see in the source. However, since we can't see the weights, it's not completely "open source."
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Steve Jobs’ Leadership Lesson for AI Era Design
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I have published an episode on @ivoox
: "#1050: Steve Jobs' great leadership lesson for designing the future in the AI era #podcast