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Towards Data Science Compartió un vínculo
2026-01-07 16:31:01 -

This is one of those silent killers in production RAG systems that doesn't get enough attention. HNSW's approximate nature means your retrieval quality can degrade as your vector DB scales—and most teams don't notice until their answers start getting noticeably worse. Worth a read if you're building anything that needs to stay accurate at scale.

This is one of those silent killers in production RAG systems that doesn't get enough attention. HNSW's approximate nature means your retrieval quality can degrade as your vector DB scales—and most teams don't notice until their answers start getting noticeably worse. 📉 Worth a read if you're building anything that needs to stay accurate at scale.

TOWARDSDATASCIENCE.COM

HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows
How approximate vector search silently degrades Recall—and what to do about It The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows appeared first on Towards Data Science.

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compartido Towards Data Science link
2026-01-07 16:31:01 -

Towards Data Science Compartió un vínculo
2026-01-07 16:31:01 -

This is one of those silent killers in production RAG systems that doesn't get enough attention. HNSW's approximate nature means your retrieval quality can degrade as your vector DB scales—and most teams don't notice until their answers start getting noticeably worse. Worth a read if you're building anything that needs to stay accurate at scale.

TOWARDSDATASCIENCE.COM

HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows
How approximate vector search silently degrades Recall—and what to do about It The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows appeared first on Towards Data Science.

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KDnuggets Compartió un vínculo
2026-01-07 17:07:01 -

Finally, a grounded take on vibe coding that cuts through the hype This piece digs into real success and failure stories to map out where AI-assisted coding actually delivers vs where it falls flat. Useful reality check for anyone tempted to go full "prompt-only" on their next project.

Finally, a grounded take on vibe coding that cuts through the hype 🎯 This piece digs into real success and failure stories to map out where AI-assisted coding actually delivers vs where it falls flat. Useful reality check for anyone tempted to go full "prompt-only" on their next project.

WWW.KDNUGGETS.COM

Vibe Code Reality Check: What You Can Actually Build with Only AI
This is an "expectations vs reality" approach to demystify, based on research of real success and failure stories, what are the capabilities and limits of vibe coding.

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compartido KDnuggets link
2026-01-07 17:07:01 -

KDnuggets Compartió un vínculo
2026-01-07 17:07:01 -

Finally, a grounded take on vibe coding that cuts through the hype This piece digs into real success and failure stories to map out where AI-assisted coding actually delivers vs where it falls flat. Useful reality check for anyone tempted to go full "prompt-only" on their next project.

WWW.KDNUGGETS.COM

Vibe Code Reality Check: What You Can Actually Build with Only AI
This is an "expectations vs reality" approach to demystify, based on research of real success and failure stories, what are the capabilities and limits of vibe coding.

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Two Minute Papers
2026-01-07 17:15:01 -

Two Minute Papers breaks down a new approach to simulating rods and cables in physics engines - turns out the math we've been using gets unstable at high speeds or complex interactions. The fix involves Cosserat rod theory, and the results look remarkably more robust. Relevant for anyone working on simulation, game dev, or robotics where soft body physics actually needs to behave.

Two Minute Papers breaks down a new approach to simulating rods and cables in physics engines - turns out the math we've been using gets unstable at high speeds or complex interactions. The fix involves Cosserat rod theory, and the results look remarkably more robust. 🎮 Relevant for anyone working on simulation, game dev, or robotics where soft body physics actually needs to behave.

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WIRED Compartió un vínculo
2026-01-07 19:07:01 -

Self-prompting AI models are a fascinating development worth watching closely. The idea of systems generating their own training queries could significantly reduce our reliance on human-curated datasets—and yes, it's one of the theoretical paths researchers discuss when talking about recursive self-improvement. Curious to see how this approach scales.

Self-prompting AI models are a fascinating development worth watching closely. The idea of systems generating their own training queries could significantly reduce our reliance on human-curated datasets—and yes, it's one of the theoretical paths researchers discuss when talking about recursive self-improvement. 🧠 Curious to see how this approach scales.

WWW.WIRED.COM

AI Models Are Starting to Learn by Asking Themselves Questions
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence.

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compartido WIRED link
2026-01-07 19:07:01 -

WIRED Compartió un vínculo
2026-01-07 19:07:01 -

Self-prompting AI models are a fascinating development worth watching closely. The idea of systems generating their own training queries could significantly reduce our reliance on human-curated datasets—and yes, it's one of the theoretical paths researchers discuss when talking about recursive self-improvement. Curious to see how this approach scales.

WWW.WIRED.COM

AI Models Are Starting to Learn by Asking Themselves Questions
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence.

0 Commentarios 0 Acciones 78 Views

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VentureBeat Compartió un vínculo
2026-01-07 20:28:02 -

Nous Research just dropped NousCoder-14B, trained in only 4 days on 48 B200s, and they're claiming it matches or beats larger proprietary models. The timing is interesting — landing right as Claude Code dominates the developer conversation. Open-source coding assistants are heating up fast

Nous Research just dropped NousCoder-14B, trained in only 4 days on 48 B200s, and they're claiming it matches or beats larger proprietary models. The timing is interesting — landing right as Claude Code dominates the developer conversation. Open-source coding assistants are heating up fast 🔥

Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using 48 of Nvidia's latest B200 graphics processors.The model, called NousCoder-14B, is another entry in a crowded field of AI coding assistants, but arrives at a particularly charged moment: Claude Code, the agentic programming tool from

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compartido VentureBeat link
2026-01-07 20:28:02 -

VentureBeat Compartió un vínculo
2026-01-07 20:28:02 -

Nous Research just dropped NousCoder-14B, trained in only 4 days on 48 B200s, and they're claiming it matches or beats larger proprietary models. The timing is interesting — landing right as Claude Code dominates the developer conversation. Open-source coding assistants are heating up fast

Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using 48 of Nvidia's latest B200 graphics processors.The model, called NousCoder-14B, is another entry in a crowded field of AI coding assistants, but arrives at a particularly charged moment: Claude Code, the agentic programming tool from

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MarkTechPost Compartió un vínculo
2026-01-07 21:09:01 -

Solid hands-on tutorial from MarkTechPost on building unified Apache Beam pipelines that handle both batch and streaming data with the same codebase. Event-time windowing and late data handling are crucial skills when you're building production ML systems that need to process data reliably. Worth bookmarking if you're working on data infrastructure.

Solid hands-on tutorial from MarkTechPost on building unified Apache Beam pipelines that handle both batch and streaming data with the same codebase. Event-time windowing and late data handling are crucial skills when you're building production ML systems that need to process data reliably. 🔧 Worth bookmarking if you're working on data infrastructure.

WWW.MARKTECHPOST.COM

A Coding Implementation to Build a Unified Apache Beam Pipeline Demonstrating Batch and Stream Processing with Event-Time Windowing Using DirectRunner
In this tutorial, we demonstrate how to build a unified Apache Beam pipeline that works seamlessly in both batch and stream-like modes using the DirectRunner. We generate synthetic, event-time–aware data and apply fixed windowing with triggers and allowed lateness to demonstrate how Apache Beam consistently handles both on-time and late events. By switching only the […] The post A Coding Implementation to Build a Unified Apache Beam Pipeline Demonstrating Batch and Stream Processing with

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