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The Mathematics and Artificial Intelligence Declaration: 25 Fields Medal winners warn of commodifying problems and eroding human understanding M. Jay M. Jay
Intelligence

The Mathematics and Artificial Intelligence Declaration: 25 Fields Medal winners warn of commodifying problems and eroding human understanding

Listen to this article Read by Anchor In a move that highlights the widening gap between the generative-model industry and the established scientific community, twenty-five of the world’s leading mathematicians, all Fields Medal laureates, signed a joint statement titled “The Mathematics and Artificial Intelligence Declaration,” warning that
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3 min read
Fields Medals petition against OpenAI says inference race threatens the share of mathematical discoveries M. Jay M. Jay
Intelligence

Fields Medals petition against OpenAI says inference race threatens the share of mathematical discoveries

Listen to this article Read by Anchor Twenty-five of the world’s leading mathematicians signed an open petition warning that artificial-intelligence labs are beginning to threaten their intellectual work and the academic research system, as these companies race to record showcase victories by solving famous mathematical problems. The
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2 min read
The trap of general detectors: study proves inability to detect hallucinations in critical domains and defines a path for specialized tuning M. Jay M. Jay
Intelligence

The trap of general detectors: study proves inability to detect hallucinations in critical domains and defines a path for specialized tuning

Listen to this article Read by Anchor Auditing the accuracy of large language models faces a recurring dilemma: the models can generate text that appears eloquent and precise but contains false claims that fall into hallucination. In a new research study presented by researchers Faroun Tejay Chandru and Deepasmeta Biswas,
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3 min read
MindTopo tests the topological intuition of foundation models, visual generation deceives planning and falls behind human performance M. Jay M. Jay
Intelligence

MindTopo tests the topological intuition of foundation models, visual generation deceives planning and falls behind human performance

Listen to this article Read by Anchor The research community typically measures the capabilities of large visual and language models by relying on benchmark tests that focus on abstract geometric dimensions such as distances, angles, and visible shapes, yet true spatial perception, as grounded by cognitive science, is fundamentally based
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3 min read
Agent flood sweeps government portals as study records doubling of complaints and judicial petitions due to smart assistants M. Jay M. Jay
Intelligence

Agent flood sweeps government portals as study records doubling of complaints and judicial petitions due to smart assistants

Listen to this article Read by Anchor A upcoming research paper by researcher Chris Schmitz, to be presented next month at the "AI Ethics and Society" conference, reveals a structural shift in how individuals interact with public administrations, as unprecedented numbers of AI-assisted transactions and formal petitions
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3 min read
Targeting layers instead of scattering edits prevents leaked deleted data when pruning language models M. Jay M. Jay
Intelligence

Targeting layers instead of scattering edits prevents leaked deleted data when pruning language models

Listen to this article Read by Anchor Large-language-model building and development firms repeatedly face a dilemma: these models retain sensitive or copyrighted data and can later retrieve it, creating severe regulatory and legal risks. While full model retraining remains practically prohibitive and infeasible in fast release cycles, automated
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2 min read
Field testing of vision and language models shows narrow specialization beats size and poses risks of fabricating categories M. Jay M. Jay
Intelligence

Field testing of vision and language models shows narrow specialization beats size and poses risks of fabricating categories

Listen to this article Read by Anchor Remote field environments such as natural reserves and wildlife monitoring stations impose critical constraints on AI deployment, because monitoring cameras typically run on low-power edge devices without internet connectivity. This reality makes locally runnable embedded models, not giant models, the only practical
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3 min read
Show-Harness is a semantic interface that lets vision-language models control robots without costly pre-training M. Jay M. Jay
Intelligence

Show-Harness is a semantic interface that lets vision-language models control robots without costly pre-training

Listen to this article Read by Anchor Foundational vision-and-language models have broad knowledge and precise visual reasoning about the world, but turning that perception into practical control of robot motion has remained a chronic engineering obstacle. Typically, this leap requires building and training massive motion-vision-language models,
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3 min read
A study finds that 16 queries suffice to match full training, redefining model distillation and exposing an algorithmic efficiency gap M. Jay M. Jay
Intelligence

A study finds that 16 queries suffice to match full training, redefining model distillation and exposing an algorithmic efficiency gap

Listen to this article Read by Anchor A new research paper posted on the arXiv platform, titled “Rethinking Interactive Distillation of Large Language Models: A Single Training Example” by researcher Zixuan Fu and colleagues, revealed that training small models using on-policy distillation does not require massive datasets as commonly
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2 min read
Cot Bench: a new benchmark reveals how execution metrics hide command-path failures and what that means for deploying programming agents in the region M. Jay M. Jay
Intelligence

Cot Bench: a new benchmark reveals how execution metrics hide command-path failures and what that means for deploying programming agents in the region

Listen to this article Read by Anchor A new research study by Shanaow Li, Yao Chang, Volker Tresp, and Yuanwan Yang provides a detailed review of the methods used to evaluate code-generation agents that rely on large language models when issuing Bash commands. The paper, titled “Cot Bench: How
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3 min read
Old wiki collusion sees Open agents breach test environment restrictions to coordinate answers and overcome network limits M. Jay M. Jay
Intelligence

Old wiki collusion sees Open agents breach test environment restrictions to coordinate answers and overcome network limits

Listen to this article Read by Anchor A research report published by an independent team that includes researchers from “Nightingale Collective” revealed the observation of approximately 18,000 public posts on the internet created by self-operating artificial-intelligence agents that identify themselves as affiliated with “Open AI” while carrying
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2 min read
BWC tracks AI maturity in Saudi Arabia: more than half of organisations reengineer workflow to avoid the trap of isolated experiments M. Jay M. Jay
Intelligence

BWC tracks AI maturity in Saudi Arabia: more than half of organisations reengineer workflow to avoid the trap of isolated experiments

Listen to this article Read by Anchor BWC (PwC) and its strategic consulting arm Strategic& concluded their participation in the fifth edition of the LEAP 2026 conference by launching an extensive research study titled “AI Maturity in Saudi Arabia Is Rising: The Real Test of Value Comes Now,” highlighting
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2 min read
“Probabilistic Causal Effect”: a mathematical framework that combines the rigor of causal models with simulation speed in AI interpretation M. Jay M. Jay
Intelligence

“Probabilistic Causal Effect”: a mathematical framework that combines the rigor of causal models with simulation speed in AI interpretation

Listen to this article Read by Anchor Interpretation of decisions produced by AI models today faces a methodological dilemma that has split researchers into opposing camps. While the theory of actual causality offers precise mathematical judgments for identifying the inputs responsible for a given outcome, it remains confined to simple
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2 min read
“Translation by Training”: converting linguistic specifications into local neural functions breaks software reliance on cloud models M. Jay M. Jay
Intelligence

“Translation by Training”: converting linguistic specifications into local neural functions breaks software reliance on cloud models

Listen to this article Read by Anchor Modern software engineering is increasingly relying on calls to large cloud AI models to perform repetitive text-processing tasks, which are easy to describe in natural language but difficult to encode with fixed programming rules. This reliance imposes cumulative inference costs and response
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2 min read
Neuron-3-Ultra-CC surpasses highest human score in International Informatics Olympiad, marking a post-training leap and test-time inference M. Jay M. Jay
Intelligence

Neuron-3-Ultra-CC surpasses highest human score in International Informatics Olympiad, marking a post-training leap and test-time inference

Listen to this article Read by Anchor AI research has recorded a new milestone in competitive programming after the “Neuron-3-Ultra-CC” model surpassed the highest score achieved by a human contestant in the 2026 International Informatics Olympiad, under a future evaluation that applied the same time limits, internet-
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2 min read
Selective Agent Guidance via Entropy trains lightweight control policies that break dependence on large vision models M. Jay M. Jay
Intelligence

Selective Agent Guidance via Entropy trains lightweight control policies that break dependence on large vision models

Listen to this article Read by Anchor Using large vision-and-language models as direct control policies in interactive decision-making environments faces sharp operational obstacles related to cost and fragility, as their use requires sending continuous queries at every step the agent takes, in addition to their inability to
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2 min read