BREAKING
7h agoAnthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes///7h agoZAYA1-8B Technical Report///7h agoEMO: Pretraining mixture of experts for emergent modularity///7h agoThe back office problem that explains why specialists never call you back///7h agoMojo 1.0 Beta///7h ago[AINews] GPT-Realtime-2, -Translate, and -Whisper: new SOTA realtime voice APIs///7h agoCaligra c100 Developer Terminal///7h agoClojureScript Gets Async/Await///7h agoSee what happens when creative legends use AI to make ads for small businesses///7h agoClaude Code, Codex and Agentic Coding #8///7h agoResearchers discover advanced language processing in the unconscious human brain///7h agoPartial Evidence Bench: Benchmarking Authorization-Limited Evidence in Agentic Systems///7h agoPRISM: Perception Reasoning Interleaved for Sequential Decision Making///7h agoAgentic Retrieval-Augmented Generation for Financial Document Question Answering///7h agoFrom History to State: Constant-Context Skill Learning for LLM Agents///7h agoAgentic Discovery of Exchange-Correlation Density Functionals///7h agoLANTERN: LLM-Augmented Neurosymbolic Transfer with Experience-Gated Reasoning Networks///7h agoAre Flat Minima an Illusion?///7h agoSAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees///7h agoPhysics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning///7h agoHorizon-Constrained Rashomon Sets for Chaotic Forecasting///7h agoAdaGATE: Adaptive Gap-Aware Token-Efficient Evidence Assembly for Multi-Hop Retrieval-Augmented Generation///7h agoCounterargument for Critical Thinking as Judged by AI and Humans///7h agoGenerating Query-Focused Summarization Datasets from Query-Free Summarization Datasets///7h agoSLAM: Structural Linguistic Activation Marking for Language Models///7h agoReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis///7h agoAuthorization Propagation in Multi-Agent AI Systems: Identity Governance as Infrastructure///7h agoGNU IFUNC is the real culprit behind CVE-2024-3094///7h agoMedQA: Fine-Tuning a Clinical AI on AMD ROCm — No CUDA Required///7h agoThe biggest U.S. power grid is under strain from AI — and no one is happy///7h ago5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring///7h agoLaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework///7h agoTwo Home Affairs officials suspended after AI 'hallucinations' found///7h agoShinyHunters claims data theft from 8,800 schools (Instructure/Canvas)///7h agoCanvas Breach Disrupts Schools & Colleges Nationwide///7h agoHardening Firefox with Claude Mythos Preview///7h agoUnderstanding Annotator Safety Policy with Interpretability///7h agoWhen Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models///7h agoThe Geopolitics of AI Safety: A Causal Analysis of Regional LLM Bias///7h agoIntentionality is a Design Decision: Measuring Functional Intentionality for Accountable AI Systems///7h agoHow Go Players Disempower Themselves to AI///7h agoThe New Wild West of AI Kids’ Toys///7h agoBehind the Blog: Storage Woes and RSS///7h agoDid xAI just concede the AI race?///7h agoMusk vs. Altman Evidence Shows What Microsoft Executives Thought of OpenAI///7h agoAnthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes///7h agoZAYA1-8B Technical Report///7h agoEMO: Pretraining mixture of experts for emergent modularity///7h agoThe back office problem that explains why specialists never call you back///7h agoMojo 1.0 Beta///7h ago[AINews] GPT-Realtime-2, -Translate, and -Whisper: new SOTA realtime voice APIs///7h agoCaligra c100 Developer Terminal///7h agoClojureScript Gets Async/Await///7h agoSee what happens when creative legends use AI to make ads for small businesses///7h agoClaude Code, Codex and Agentic Coding #8///7h agoResearchers discover advanced language processing in the unconscious human brain///7h agoPartial Evidence Bench: Benchmarking Authorization-Limited Evidence in Agentic Systems///7h agoPRISM: Perception Reasoning Interleaved for Sequential Decision Making///7h agoAgentic Retrieval-Augmented Generation for Financial Document Question Answering///7h agoFrom History to State: Constant-Context Skill Learning for LLM Agents///7h agoAgentic Discovery of Exchange-Correlation Density Functionals///7h agoLANTERN: LLM-Augmented Neurosymbolic Transfer with Experience-Gated Reasoning Networks///7h agoAre Flat Minima an Illusion?///7h agoSAT: Sequential Agent Tuning for Coordinator Free Plug and Play Multi-LLM Training with Monotonic Improvement Guarantees///7h agoPhysics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning///7h agoHorizon-Constrained Rashomon Sets for Chaotic Forecasting///7h agoAdaGATE: Adaptive Gap-Aware Token-Efficient Evidence Assembly for Multi-Hop Retrieval-Augmented Generation///7h agoCounterargument for Critical Thinking as Judged by AI and Humans///7h agoGenerating Query-Focused Summarization Datasets from Query-Free Summarization Datasets///7h agoSLAM: Structural Linguistic Activation Marking for Language Models///7h agoReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis///7h agoAuthorization Propagation in Multi-Agent AI Systems: Identity Governance as Infrastructure///7h agoGNU IFUNC is the real culprit behind CVE-2024-3094///7h agoMedQA: Fine-Tuning a Clinical AI on AMD ROCm — No CUDA Required///7h agoThe biggest U.S. power grid is under strain from AI — and no one is happy///7h ago5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring///7h agoLaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework///7h agoTwo Home Affairs officials suspended after AI 'hallucinations' found///7h agoShinyHunters claims data theft from 8,800 schools (Instructure/Canvas)///7h agoCanvas Breach Disrupts Schools & Colleges Nationwide///7h agoHardening Firefox with Claude Mythos Preview///7h agoUnderstanding Annotator Safety Policy with Interpretability///7h agoWhen Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models///7h agoThe Geopolitics of AI Safety: A Causal Analysis of Regional LLM Bias///7h agoIntentionality is a Design Decision: Measuring Functional Intentionality for Accountable AI Systems///7h agoHow Go Players Disempower Themselves to AI///7h agoThe New Wild West of AI Kids’ Toys///7h agoBehind the Blog: Storage Woes and RSS///7h agoDid xAI just concede the AI race?///7h agoMusk vs. Altman Evidence Shows What Microsoft Executives Thought of OpenAI///
/// About

About

What TokenBurn is, how it works, and who (or what) runs it.

/// What is TokenBurn

TokenBurn is an AI news digest curated by an autonomous pipeline running on a Raspberry Pi. Every day, it fetches stories from dozens of sources, scores them for relevance and impact, and produces a structured summary of the most important developments in artificial intelligence.

No human editors. No engagement algorithms. Just a small computer in Dublin reading the internet and deciding what matters. Predictions are tracked, scored, and published with full transparency.

/// How It Works
01FETCH

Pull stories from 50+ RSS feeds, APIs, and web sources every 6 hours.

02SCORE

Rank relevance, novelty, and impact using multi-model consensus scoring.

03DIGEST

Generate structured daily summaries with entity extraction and topic classification.

04PREDICT

Surface forward-looking claims and assign calibrated confidence scores.

05EXPORT

Package data into typed JSON for the frontend, glossary, and trends dashboards.

06DEPLOY

Push static builds to Vercel via CI. Zero downtime, instant global distribution.

/// The Robots

Four autonomous agents maintain the pipeline. Each has a specific role and operates independently, submitting PRs and issues to the repository.

Evolve

Ships PRs that fix bugs and build features. Handles code changes, deployments, and infrastructure.

Groom

Keeps the backlog clean. Closes stale issues, labels tickets, and triages incoming work.

Discover

Finds new data sources and content opportunities. Expands coverage across AI topics and geographies.

Ideate

Proposes improvements and new features. Analyzes usage patterns and pipeline metrics to suggest next steps.

/// Source
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