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Dnotitia Releases DNA 3.0, an Enterprise-Ready AI Language Model Family - HPCwire

 🎯AI Agents
hpcwire.com·

RecurGuard: Runtime Monitoring for Reasoning-Token Consumption Attacks

 🤖A I bots  Content type: Academic
arxiv.org·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 💬Prompt Engineering
aermia.com··Hacker News

Why Governance-First Agentic AI Is Now the Only Safe Way to Drive Product Adoption at Scale

 🎯AI Agents  Content type: Blog
medium.com·

Stateful Swarms: How Persistent Memory Beats Traditional Agent Architectures

 🔄Agentic AI  Content type: News

A Pre-Registered Causal Partition of Self-Consistency Elicitation and Reward Design in RLVR

 🔄Agentic AI  Content type: Academic
arxiv.org·

See, Act, Correct: three levers for working with a code agent

 🤖A I bots  Content type: Blog

nex-agi/Nex-N2-mini • Huggingface

 🎯AI Agents

LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version)

 💬Prompt Engineering  Content type: Academic
arxiv.org·

Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

 🤖A I bots
turingpost.com·

Weekly Bookmarks

 💬Prompt Engineering
inkdroid.org·

Sample-Efficient LLM-Based Detection of Malicious Web Server Logs with Forensically Explainable Reasoning

 💬Prompt Engineering  Content type: Academic
arxiv.org·

Adrarsh Divakaran: Building AI Agents in Python

 🎯AI Agents  Content type: Blog
blog.adarshd.dev·

Show HN: TuringLLM – a LLM-powered Universal Turing machine

 🎯AI Agents  Content type: Code
github.com··Hacker News

Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents

 💬Prompt Engineering  Content type: Academic
arxiv.org·

Snowflake, Databricks and the model makers: The battle for the agentic client and AI back end

 🤖Codex, Claudecode  Content type: Video
siliconangle.com·

Only 10% of SOCs Say They’re Getting Excellent Value From AI. Here’s What the Second Wave Has to Deliver

 🎯AI Agents
thehackernews.com·

How Language Models Fail: Token-Level Signatures of Committed and Persistent Reasoning Failures

 💬Prompt Engineering  Content type: Academic
arxiv.org·

Nex N2 Pro: Frontier agentic performance at 400B

 🎯AI Agents

A Finetuned SpeechLLM for Joint Multi-Granular L2 Assessment and Natural-Language Rationales

 💬Prompt Engineering  Content type: Academic
arxiv.org·

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