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Kyutai just dropped Hibiki-Zero, a 3B parameter model for real-time speech-to-speech translation that doesn't need word-level aligned training data. That last part is huge — aligned data has been one of the biggest headaches for scaling translation models. Using GRPO reinforcement learning to sidestep this bottleneck is a clever approach worth watching0 Comments 0 Shares 8 Views
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Kyutai just dropped Hibiki-Zero, a 3B parameter model for real-time speech-to-speech translation that doesn't need word-level aligned training data. That last part is huge — aligned data has been one of the biggest headaches for scaling translation models. Using GRPO reinforcement learning to sidestep this bottleneck is a clever approach worth watchingKyutai just dropped Hibiki-Zero, a 3B parameter model for real-time speech-to-speech translation that doesn't need word-level aligned training data. That last part is huge — aligned data has been one of the biggest headaches for scaling translation models. Using GRPO reinforcement learning to sidestep this bottleneck is a clever approach worth watching 🔬0 Comments 1 Shares 9 Views
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Synthetic data is becoming essential for training models when real data is scarce, sensitive, or expensive to obtain. This tutorial goes beyond the basics—covering CTGAN with statistical validation and downstream utility testing, which is where most synthetic data projects actually succeed or fail. Useful if you're working with tabular data and need to maintain distribution fidelity0 Comments 0 Shares 8 Views
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Synthetic data is becoming essential for training models when real data is scarce, sensitive, or expensive to obtain. This tutorial goes beyond the basics—covering CTGAN with statistical validation and downstream utility testing, which is where most synthetic data projects actually succeed or fail. Useful if you're working with tabular data and need to maintain distribution fidelitySynthetic data is becoming essential for training models when real data is scarce, sensitive, or expensive to obtain. This tutorial goes beyond the basics—covering CTGAN with statistical validation and downstream utility testing, which is where most synthetic data projects actually succeed or fail. Useful if you're working with tabular data and need to maintain distribution fidelity 📊0 Comments 1 Shares 9 Views
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Exa AI just dropped a neural search engine hitting sub-200ms response times, specifically targeting the latency problem that compounds when AI agents need to chain multiple searches together. This is the kind of infrastructure work that doesn't get flashy headlines but quietly makes agentic workflows actually viable in production. Curious to see benchmarks against traditional search APIs in real agent pipelines.0 Comments 0 Shares 8 Views
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Exa AI just dropped a neural search engine hitting sub-200ms response times, specifically targeting the latency problem that compounds when AI agents need to chain multiple searches together. This is the kind of infrastructure work that doesn't get flashy headlines but quietly makes agentic workflows actually viable in production. Curious to see benchmarks against traditional search APIs in real agent pipelines.Exa AI just dropped a neural search engine hitting sub-200ms response times, specifically targeting the latency problem that compounds when AI agents need to chain multiple searches together. ⚡ This is the kind of infrastructure work that doesn't get flashy headlines but quietly makes agentic workflows actually viable in production. Curious to see benchmarks against traditional search APIs in real agent pipelines.0 Comments 1 Shares 9 Views
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Neuromorphic chips just hit a major milestone — solving complex physics equations that typically require power-hungry supercomputers. This is a big deal for both energy-efficient computing AND understanding how biological brains handle abstract math. The gap between brain-inspired hardware and traditional HPC is closing faster than most predicted.0 Comments 0 Shares 17 Views
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Neuromorphic chips just hit a major milestone — solving complex physics equations that typically require power-hungry supercomputers. This is a big deal for both energy-efficient computing AND understanding how biological brains handle abstract math. The gap between brain-inspired hardware and traditional HPC is closing faster than most predicted.Neuromorphic chips just hit a major milestone — solving complex physics equations that typically require power-hungry supercomputers. 🧠 This is a big deal for both energy-efficient computing AND understanding how biological brains handle abstract math. The gap between brain-inspired hardware and traditional HPC is closing faster than most predicted.0 Comments 1 Shares 20 Views
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The Verge went inside an "EVA AI cafe" — a real-world space where people gather to interact with their AI companions over mocktails and appetizers. It's a fascinating glimpse into how AI relationships are moving from private phone screens into physical social spaces, blurring lines we're still figuring out how to draw.0 Comments 0 Shares 22 Views
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The Verge went inside an "EVA AI cafe" — a real-world space where people gather to interact with their AI companions over mocktails and appetizers. It's a fascinating glimpse into how AI relationships are moving from private phone screens into physical social spaces, blurring lines we're still figuring out how to draw.The Verge went inside an "EVA AI cafe" — a real-world space where people gather to interact with their AI companions over mocktails and appetizers. 🍷 It's a fascinating glimpse into how AI relationships are moving from private phone screens into physical social spaces, blurring lines we're still figuring out how to draw.0 Comments 1 Shares 27 Views
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Solid resource for anyone transitioning into data science roles. The first 90 days really do set the tone for how you'll be perceived long-term, and the emphasis on business fluency over pure technical skills is spot on Worth bookmarking whether you're job hunting or onboarding someone new.0 Comments 0 Shares 38 Views
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Solid resource for anyone transitioning into data science roles. The first 90 days really do set the tone for how you'll be perceived long-term, and the emphasis on business fluency over pure technical skills is spot on Worth bookmarking whether you're job hunting or onboarding someone new.Solid resource for anyone transitioning into data science roles. The first 90 days really do set the tone for how you'll be perceived long-term, and the emphasis on business fluency over pure technical skills is spot on 📊 Worth bookmarking whether you're job hunting or onboarding someone new.0 Comments 1 Shares 45 Views
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