The Usefulness Gap
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The Usefulness Gap in Proof-of-Useful-Work: An Empirical Study of Pearl's cuPOW Protocol
Announce Type: replace Abstract: Pearl, a Layer-1 blockchain with high-profile AI industry endorsements, markets its Proof-of-Useful-Work (PoUW) protocol as simultaneously securing the network and performing AI inference. We present the first systematic empirical measurement of a deployed PoUW system, finding that Pearl's 24 EH/s network -- representing approximately 320,000 GPU-equivalents consuming an estimated 112 MW -- produces zero useful AI computation. Budget GPU rental prices rose...
The Usefulness Gap in Proof-of-Useful-Work: An Empirical Study of Pearl's cuPOW Protocol
arXiv:2606.04819v1 Announce Type: new Abstract: Pearl, a Layer-1 blockchain with high-profile AI industry endorsements, markets its Proof-of-Useful-Work (PoUW) protocol as simultaneously securing the network and performing AI inference. We present the first systematic empirical measurement of a deployed PoUW system, finding that Pearl's 24 EH/s network -- representing approximately 320,000 GPU-equivalents consuming an estimated 112 MW -- produces zero useful AI computation. Budget GPU rental...
Diagnosing Knowledge Gaps in LLM Tool Use: An Agentic Benchmark for Novel API Acquisition
Announce Type: new Abstract: Large language models for code generation often need to use APIs that are absent from their pretraining data. This requires more than recalling a function name: models must coordinate signatures, module paths, input-output contracts, semantics, and executable usage patterns. Existing novel-API benchmarks are typically static, rely on coarse pass/fail metrics, or use synthetic APIs that may not reflect real library evolution.
Context-Fractured Decomposition Attacks on Tool-Using LLM Agents: Exploiting Artifact Provenance Gaps
arXiv:2606.09084v1 Announce Type: new Abstract: Tool-using LLM agents interact with the world through actions that persist state in artifacts (e.g., workspace files or logs). Consequently, jailbreak defenses must reason about cross-step composition rather than isolated text. Yet most existing attacks and defenses, including ``multi-turn'' jailbreaks such as Crescendo and Tree of Attacks,still assume a single contiguous conversation visible to the defender.
A uni professor admitted using AI to write an opinion piece. Here’s what it revealed about trust in the technology
Without disclosing that work has been generated using the technology, faith in existing industries will continue to be undermined Follow our Australia news live blog for latest updatesGet our breaking news email, free app or daily news podcasWhen a university vice-chancellor this week admitted to using AI in writing an opinion piece for a major Australian masthead, but did not disclose that use prior to publication, it highlighted the growing gap between people’s use of AI and trust in the...
A uni professor admitted using AI to write an opinion piece. Here’s what it revealed about trust in the technology
Without disclosing that work has been generated using the technology, faith in existing industries will continue to be undermined Follow our Australia news live blog for latest updatesGet our breaking news email, free app or daily news podcasWhen a university vice-chancellor this week admitted to using AI in writing an opinion piece for a major Australian masthead, but did not disclose that use prior to publication, it highlighted the growing gap between people’s use of AI and trust in the...
Why is Europe falling behind the US on AI adoption at work?
A new study shows a clear gap in workplace AI use between the US and Europe - and suggests management structure may be a key reason why. Europe might be slower to adopt artificial intelligence (AI) than the United States because of how its businesses are structured, according to new research. The report from Brookings Institute surveyed more than 5,000 people in the United States and six European countries to find out how regularly they use AI at work: France, Germany, the Netherlands,...
Uncovering Competency Gaps in Large Language Models and Their Benchmarks
arXiv:2512.20638v2 Announce Type: replace Abstract: The evaluation of large language models relies heavily on standardized benchmarks. These benchmarks provide useful aggregated metrics, but can obscure (i) particular sub-areas where the models are weak ("model gaps") and (ii) imbalanced coverage in the benchmarks themselves ("benchmark gaps"). To automatically uncover both types of gaps, we propose a simple new method using concept activations from sparse autoencoders, to identify...
HCN channels enhance synchrony propagation in heterogeneous synfire chains
Motivation: Information flow and temporal coding in cortical circuits depend critically on the reliable transmission of precisely timed synchronous spike patterns. Although cortical assemblies achieve such transmission despite pronounced intrinsic heterogeneities and stochastic high-conductance states, the mechanisms underlying effective synchrony propagation under in vivo conditions remain poorly understood. Methodology: In this study, we address this gap using large-scale,...
Navigating the Reality Gap: On-Device Continual Adaptation of ASR for Clinical Telephony
arXiv:2512.16401v5 Announce Type: replace Abstract: Automatic Speech Recognition (ASR) can significantly reduce documentation burden in clinical workflows, but standard models degrade sharply in real-world telephony settings where noisy audio, dialectal variation, and strict data residency constraints prevent cloud-based adaptation. We study this "reality gap" using Gram Vaani: a telephonic Hindi corpus spanning rural healthcare and agricultural helplines, as the closest available proxy for...