The key insight most people miss: DeepSeek replacing Claude entirely is the wrong move. DeepSeek as a $0.14 second opinion running alongside Claude is the right move. Same thinking system. Dramatically different API bill.
AI
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DeepSeek V4 integrated with Claude Code, reduced cost, parallel usage
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DeepSeek V4 now speaks Claude Code natively. $0.14 per million tokens vs $5.00 for Claude Opus 4.7. Here's the exact setup that runs DeepSeek as a second opinion alongside your main Claude session, without replacing it: ———————————-
DEEPSEEK PARALLEL
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Representational Geometry Influences Uncertainty in Large Language Models
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"Representational Curvature Modulates Behavioral Uncertainty in LLMs" Most interpretability work studies what features live inside LLMs. But this paper studies something deeper, which is the geometry of the whole evolving representation. The key result is that representational
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LangChain adds API support for AI due diligence research agents
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@p0
's API suite is now supported in LangChain, and they wrote a cookbook for a due diligence agent. We're part of the recipe:
• Deep Agents for orchestrating dedicated research track subagents
• @p0
’s Task API for research, findings, confidence scores, and follow-ups Full -
AgenticAI: The New Frontier in Medtech from Consultant to Colleague
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From Consultant To Colleague: #AgenticAI As The New Frontier In #Medtech
by Ming-Chien Chyu @Forbes Learn more: https://
bit.ly/42dT3Ru #Healthcare #HealthTech #Tech #TechForGood -
Team’s Success with Devin 3.0 and Devin Desktop Highlighted
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i'm just an advisor, cant take credit. team is doing great with devin 3.0 and devin desktop
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Monetizing machine learning models with XGBoost
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Is your XGBoost model making money for you while you sleep? @trainxgb @tabul_ai
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How Perplexity Builds AI Agents and Skills
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A research blog on how Perplexity builds agents and agent skills for products like Computer.
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Google Health app integrates Gemini AI for personalized health coaching
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Happy Friday! We’re officially 11 days away from I/O (but the launches keep rolling in). Here’s what happened this week: — The @googlehealth app, featuring a personalized health coach built with Gemini that uses your wearables, favorite health & fitness apps, and medical
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Hardware limitations on sparse neural activation in LLMs
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The human brain is incredibly efficient because it only activates the specific neurons needed for a thought. Modern LLMs naturally try to do this too (> 95% of neurons in feedforward layers stay silent for any given word), but our hardware punishes them for it. One of the most