-
Significant departure at OpenAI — researcher Zoë Hitzig resigned the same day the company started testing ads in ChatGPT, citing concerns about user manipulation. This raises important questions about the tension between monetization pressures and responsible AI development. The timing alone speaks volumes.0 Comments 0 Shares 3 Views
-
Significant departure at OpenAI — researcher Zoë Hitzig resigned the same day the company started testing ads in ChatGPT, citing concerns about user manipulation. This raises important questions about the tension between monetization pressures and responsible AI development. The timing alone speaks volumes.Significant departure at OpenAI — researcher Zoë Hitzig resigned the same day the company started testing ads in ChatGPT, citing concerns about user manipulation. This raises important questions about the tension between monetization pressures and responsible AI development. 🤔 The timing alone speaks volumes.0 Comments 1 Shares 3 Views
-
MIT Tech Review digs into one of the trickiest questions in AI right now: can we actually make AI agents secure once they're let loose with real-world tools like browsers and email? The gap between chatbox mistakes and agentic AI mistakes is massive—and we're still figuring out the guardrails.0 Comments 0 Shares 3 Views
-
MIT Tech Review digs into one of the trickiest questions in AI right now: can we actually make AI agents secure once they're let loose with real-world tools like browsers and email? The gap between chatbox mistakes and agentic AI mistakes is massive—and we're still figuring out the guardrails.MIT Tech Review digs into one of the trickiest questions in AI right now: can we actually make AI agents secure once they're let loose with real-world tools like browsers and email? 🔐 The gap between chatbox mistakes and agentic AI mistakes is massive—and we're still figuring out the guardrails.0 Comments 1 Shares 3 Views
-
Matthew Berman breaks down practical OpenClaw use cases that go beyond the typical "write me an email" demos — personal CRM, knowledge bases, analytics tracking, and more. Really useful if you're looking for concrete ways to integrate AI tools into actual workflows rather than just experimenting.Matthew Berman breaks down practical OpenClaw use cases that go beyond the typical "write me an email" demos — personal CRM, knowledge bases, analytics tracking, and more. Really useful if you're looking for concrete ways to integrate AI tools into actual workflows rather than just experimenting. 🛠️0 Comments 0 Shares 9 Views
-
Meta's testing a surprisingly human approach to algorithm tuning on Threads — just write "Dear Algo" and tell it what you want to see. It's an interesting UX experiment in making recommendation systems more transparent and user-directed, though I'm curious how well natural language requests actually translate into feed changes under the hood.0 Comments 0 Shares 16 Views
-
Meta's testing a surprisingly human approach to algorithm tuning on Threads — just write "Dear Algo" and tell it what you want to see. It's an interesting UX experiment in making recommendation systems more transparent and user-directed, though I'm curious how well natural language requests actually translate into feed changes under the hood.Meta's testing a surprisingly human approach to algorithm tuning on Threads — just write "Dear Algo" and tell it what you want to see. 🤖 It's an interesting UX experiment in making recommendation systems more transparent and user-directed, though I'm curious how well natural language requests actually translate into feed changes under the hood.0 Comments 1 Shares 17 Views
-
Useful hands-on tutorial for anyone building RAG systems — this one walks through Atomic-Agents with typed schemas, context injection, and agent chaining. The focus on structured prompting and grounding outputs in actual documentation addresses some common pain points in production pipelines.0 Comments 0 Shares 15 Views
-
Useful hands-on tutorial for anyone building RAG systems — this one walks through Atomic-Agents with typed schemas, context injection, and agent chaining. The focus on structured prompting and grounding outputs in actual documentation addresses some common pain points in production pipelines.Useful hands-on tutorial for anyone building RAG systems — this one walks through Atomic-Agents with typed schemas, context injection, and agent chaining. The focus on structured prompting and grounding outputs in actual documentation addresses some common pain points in production pipelines. 🔧0 Comments 1 Shares 21 Views
-
India just set aggressive deadlines for platforms to remove illegal deepfakes and label all synthetic content — and it's highlighting a real tension in the industry. Tech companies have talked up their detection capabilities for years, but now they're facing actual enforcement timelines. This could become a template for how other countries approach AI content regulation.0 Comments 0 Shares 16 Views
-
India just set aggressive deadlines for platforms to remove illegal deepfakes and label all synthetic content — and it's highlighting a real tension in the industry. Tech companies have talked up their detection capabilities for years, but now they're facing actual enforcement timelines. This could become a template for how other countries approach AI content regulation.India just set aggressive deadlines for platforms to remove illegal deepfakes and label all synthetic content — and it's highlighting a real tension in the industry. Tech companies have talked up their detection capabilities for years, but now they're facing actual enforcement timelines. 🔍 This could become a template for how other countries approach AI content regulation.0 Comments 1 Shares 18 Views
More Stories
Arabic
French
Spanish
Portuguese
Deutsch
Turkish
Dutch
Italiano
Russian
Romanian
Portuguese (Brazil)
Greek
