Matt’s moltbook experiment is truly unprecedented. People talk a lot about dead internet theory — but I didn’t expect to see it overtly manifested like this. As Karpathy put it: “we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first
GENERATIVE AI
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RTL’s modular AI breakthroughs in 2026
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This isn't just academic. RTL works on: → Image classification (CIFAR-10/100)
→ Speech enhancement (3 acoustic environments)
→ Implicit neural representations (within-image specialization) The era of "one model fits all" is over. Welcome to modular, data-aware AI. Paper: -
RTL reveals semantic data structure in deep layers
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The semantic alignment is beautiful: Related classes (cat, dog, deer) share more pruning structure in deep layers. Unrelated classes (airplane, truck) stay independent. RTL doesn't just find sparse networks – it discovers the SEMANTIC STRUCTURE of your data.
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Subnetwork Collapse: Early Warning via Mask Similarity
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But here's the scary part: "subnetwork collapse" When you prune too aggressively, specialized subnetworks start overlapping and performance tanks. The brilliant part? Mask similarity predicts this BEFORE accuracy drops – a label-free early warning system.
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RTL outperforms with 10x fewer parameters
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The results are absolutely wild: • 10x fewer parameters than independent models
• Higher accuracy than single-mask approaches
• Works across vision, speech, even coordinate-based representations At 75% sparsity, RTL beats everything while using only 38K parameters vs 314K -
Hands-on review and interview regarding Google DeepMind’s Genie 3
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My hands on review of genie 3 + interview w/ the DeepMind team behind it here https://t.co/w6s3SS6HEV
— Bilawal Sidhu (@bilawalsidhu) 31 janvier 2026My hands on review of genie 3 + interview w/ the DeepMind team behind it here
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Enhancing Generative AI Systems with RAG and Internal Data
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Unlocking Data with Generative AI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist -
Generative AI Application Integration Patterns and Tools
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Generative AI Application Integration Patterns — integrate LLMs into your applications: http://
amzn.to/3JDcqNU v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Get familiar with the most important tools and concepts used in real scenarios to design GenAI apps. Interact with GenAI -
Building Business-Ready Generative AI Systems with Agents and LLMs
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"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -
Overhyping Tech Announcements: Reactions and Market Trends
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I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest – obviously when you take a look at