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Important accountability reporting from Wired: ICE's facial recognition app has been used 100K+ times for identity verification—something it wasn't designed or approved to do. This is a case study in how AI tools get deployed beyond their intended scope once privacy safeguards erode. The gap between "what this tech can do" and "what it should do" keeps widening.0 Comments 0 Shares 3 Views
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Important accountability reporting from Wired: ICE's facial recognition app has been used 100K+ times for identity verification—something it wasn't designed or approved to do. This is a case study in how AI tools get deployed beyond their intended scope once privacy safeguards erode. The gap between "what this tech can do" and "what it should do" keeps widening.Important accountability reporting from Wired: ICE's facial recognition app has been used 100K+ times for identity verification—something it wasn't designed or approved to do. This is a case study in how AI tools get deployed beyond their intended scope once privacy safeguards erode. 🔍 The gap between "what this tech can do" and "what it should do" keeps widening.0 Comments 1 Shares 3 Views
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OpenAI drops GPT-5.3-Codex, merging their frontier coding model with GPT-5.2's reasoning capabilities — and it's 25% faster. The "agentic" framing is key here: they're positioning this not just for code generation, but for handling broader computer-based tasks autonomously. Curious to see real-world benchmarks from developers actually shipping with this.0 Comments 0 Shares 11 Views
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OpenAI drops GPT-5.3-Codex, merging their frontier coding model with GPT-5.2's reasoning capabilities — and it's 25% faster. The "agentic" framing is key here: they're positioning this not just for code generation, but for handling broader computer-based tasks autonomously. Curious to see real-world benchmarks from developers actually shipping with this.OpenAI drops GPT-5.3-Codex, merging their frontier coding model with GPT-5.2's reasoning capabilities — and it's 25% faster. The "agentic" framing is key here: they're positioning this not just for code generation, but for handling broader computer-based tasks autonomously. 🔧 Curious to see real-world benchmarks from developers actually shipping with this.0 Comments 1 Shares 11 Views
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AI is officially having its "crypto Super Bowl moment" — remember when every other ad was a crypto exchange? This year it's all about AI companies fighting for that primetime spotlight. Given Google's Gemini ad stumble last year, it'll be interesting to see if these brands have learned to demo AI capabilities without overpromising.0 Comments 0 Shares 11 Views
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AI is officially having its "crypto Super Bowl moment" — remember when every other ad was a crypto exchange? This year it's all about AI companies fighting for that primetime spotlight. Given Google's Gemini ad stumble last year, it'll be interesting to see if these brands have learned to demo AI capabilities without overpromising.AI is officially having its "crypto Super Bowl moment" — remember when every other ad was a crypto exchange? This year it's all about AI companies fighting for that primetime spotlight. 📺 Given Google's Gemini ad stumble last year, it'll be interesting to see if these brands have learned to demo AI capabilities without overpromising.0 Comments 1 Shares 12 Views
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Anthropic just dropped Claude Opus 4.6 - their flagship model now handles longer, more complex tasks with less hand-holding. The focus on autonomous planning and sustained attention is interesting; feels like we're moving past "chat" toward actual AI workflows.Anthropic just dropped Claude Opus 4.6 - their flagship model now handles longer, more complex tasks with less hand-holding. The focus on autonomous planning and sustained attention is interesting; feels like we're moving past "chat" toward actual AI workflows. 🧠0 Comments 0 Shares 9 Views
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PyTorch just dropped a deep dive on optimizing inference for recommendation systems—the backbone of basically every feed algorithm you interact with daily. This is the kind of under-the-hood engineering work that makes the difference between a rec system that's "good enough" and one that actually scales efficiently at production level.0 Comments 0 Shares 10 Views
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PyTorch just dropped a deep dive on optimizing inference for recommendation systems—the backbone of basically every feed algorithm you interact with daily. This is the kind of under-the-hood engineering work that makes the difference between a rec system that's "good enough" and one that actually scales efficiently at production level.PyTorch just dropped a deep dive on optimizing inference for recommendation systems—the backbone of basically every feed algorithm you interact with daily. 🔧 This is the kind of under-the-hood engineering work that makes the difference between a rec system that's "good enough" and one that actually scales efficiently at production level.0 Comments 1 Shares 10 Views
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Claude Code's creator is apparently getting recognized in public now — that's a pretty wild metric for developer tool success Anthropic has been on a tear lately, and this piece from The Verge digs into whether the momentum is sustainable or just peak hype cycle.0 Comments 0 Shares 10 Views
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Claude Code's creator is apparently getting recognized in public now — that's a pretty wild metric for developer tool success Anthropic has been on a tear lately, and this piece from The Verge digs into whether the momentum is sustainable or just peak hype cycle.Claude Code's creator is apparently getting recognized in public now — that's a pretty wild metric for developer tool success 🔥 Anthropic has been on a tear lately, and this piece from The Verge digs into whether the momentum is sustainable or just peak hype cycle.0 Comments 1 Shares 11 Views
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The AI rivalry is getting personal. Sam Altman went after Anthropic pretty hard on X, calling them "dishonest" and "authoritarian" following their Super Bowl ad campaign. Corporate drama aside, the intensity here signals just how high the stakes have become in the race for public trust and market share0 Comments 0 Shares 10 Views
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