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Deploy a full stack voice AI agent with Amazon Nova Sonic

Amazon Nova SoniconAmazon Bedrockditches piecemeal speech gadgets for a seamless whole. Real-time voice chat with a splash of dynamic customization at its core... read more  

Deploy a full stack voice AI agent with Amazon Nova Sonic
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LangSmith and LangGraph Platform are now available in AWS Marketplace

LangSmith and LangGraph Platform just hit AWS Marketplace, ready to turbocharge AI deployment and fine-tune your workflow right in your AWS VPC... read more  

LangSmith and LangGraph Platform are now available in AWS Marketplace
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Anthropic Economic Futures Program Launch

TheAnthropic Economic Futures Programdives into AI's economic chaos headfirst. They've got tools: grants up to$50,000, policy symposia that might just get people talking, and strategic partnerships to stir things up. Sounds like a wild ride!.. read more  

Anthropic Economic Futures Program Launch
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Building Self-Evolving Knowledge Graphs Using Agentic Systems

Graph databasesturn chaos into order usingnodes, edges, and properties. They race through data withindex-free traversal, unveiling complex relationships faster than you can say "data overload." Toss in someAI agents, and watch these databases become brainy creatures that evolve on their own, explori.. read more  

Building Self-Evolving Knowledge Graphs Using Agentic Systems
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Military AI contracts awarded to Anthropic, OpenAI, Google, and xAI

The Pentagon has divided $800 million amongGoogle, OpenAI, Anthropic, and Elon Musk’s xAIfor military AI projects. Musk’s xAI is offering a ‘Grok For Government’ suite, emphasizing security and innovation but raising concerns after past mishaps. By fostering competition, the Pentagon hopes to access.. read more  

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Introducing FlexOlmo: a new paradigm for language model training and data collaboration

FlexOlmoempowers data owners to train models on their own turf, syncing up later to build a powerhouse shared model. Data stays secret, yet the model still crushes it, rivaling its all-data counterpart. And with differential privacy, it keeps snoops at bay, boasting a mere0.7%data extraction rate... read more  

Introducing FlexOlmo: a new paradigm for language model training and data collaboration
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Linux Foundation Report Finds Organizations Embrace Upskilling and Open Source to Meet AI-driven Job Demands

AI is set to overhaul 94% of businesses, yet fewer than half possess the crucial AI chops. They scramble to bridge this gap withupskillingandopen-sourcecollaboration. Companies, always finding a loophole, claim upskilling outpaces hiring by 62%. Meanwhile, open source impressively bumps up retention.. read more  

Linux Foundation Report Finds Organizations Embrace Upskilling and Open Source to Meet AI-driven Job Demands
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Meta reveals plan for several multi-GW datacenter clusters

Zuck's gearing up to unleash "Prometheus" by 2026—an AI beast sprawling across 80% of Manhattan's width and revving up to 5GW.Meta's going all-in with hundreds of billions on superintelligence. But remember, their earlier VR/AI forays? Not exactly setting the user world or profit charts on fire... read more  

Meta reveals plan for several multi-GW datacenter clusters
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Atlassian research: AI adoption is rising, but friction persists

AI tools now save 68% of developers over 10 hours a week.Impressive, right? Yet for 50% of them, chaos and bureaucratic nonsense eat up more than 10 precious hours. The culprit? A staggering 63% empathy gap between the developers in the trenches and leaders who overlook big pain points. The result: .. read more  

Atlassian research: AI adoption is rising, but friction persists
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Stop Saying RAG Is Dead

RAG isn’t dead — lazy RAG is.Compressing whole docs into single vectors fails; smarter retrieval needs diversity, reasoning, and richer representations. The future: evaluate what matters, retrieve with intent, and route across specialized, info-preserving indices... read more  

DeepSeekMath-V2 is a state-of-the-art mathematical reasoning model built on the DeepSeek-V3.2-Exp-Base architecture with 685 billion parameters. Unlike conventional math-focused language models that optimize only for correct final answers, DeepSeekMath-V2 introduces a self-verification framework where the model generates, inspects, and validates its own mathematical proofs.

This approach enables rigorous, step-by-step reasoning suitable for theorem proving, scientific research, and domains requiring high-integrity logic. The model is trained through a generation-verification loop involving a dedicated LLM-based verifier and reinforcement learning optimized for proof correctness rather than answer matching.

DeepSeekMath-V2 achieves gold-level scores on IMO 2025 and CMO 2024, along with a groundbreaking 118/120 on the Putnam 2024 contest. Released under the Apache 2.0 license and hosted on Hugging Face, it is fully open source for research and commercial use.