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M. Jay

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M. Jay

Editor in Chief, AI Gossips

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Articles by M. Jay

Learning algorithms build a hidden model of the world as the value function reveals agents’ perception secrets M. Jay M. Jay
Intelligence

Learning algorithms build a hidden model of the world as the value function reveals agents’ perception secrets

Listen to this article Read by Anchor The prevailing belief in machine-learning circles has classified model-free reinforcement-learning algorithms as blind mechanisms, linking inputs to actions by chasing the reward number without building a genuine understanding of the environment’s laws. However, a new research paper published by researchers Shahin Naderi,
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2 min read
Open models break cyber-security monopoly, achieving effectiveness comparable to the major players at one-tenth the operational cost M. Jay M. Jay
Intelligence

Open models break cyber-security monopoly, achieving effectiveness comparable to the major players at one-tenth the operational cost

Listen to this article Read by Anchor Institutions seeking to employ AI agents in security tasks face a complex trade off between open weight models that allow self inspection and autonomous operation, and the more expensive closed models.An extensive benchmark study on the CTI-REALM platform shows that open models
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3 min read
Aggregating robot motions stops model drain, architecture saves inference and raises accuracy M. Jay M. Jay
Intelligence

Aggregating robot motions stops model drain, architecture saves inference and raises accuracy

Listen to this article Read by Anchor Deploying large language models in a direct control loop for robots gives machines noticeable flexibility in performing new tasks without needing retraining, but this generalisation imposes a hefty operational cost that throttles actual performance. In existing systems, the language model coordinates perception and
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3 min read
CLOOP frees agents from reliance on teacher models by using a training loop that generates its own tasks M. Jay M. Jay
Intelligence

CLOOP frees agents from reliance on teacher models by using a training loop that generates its own tasks

Listen to this article Read by Anchor Most engineering teams that build intelligent software agents rely on a higher-capacity external model to generate work scenarios, assemble execution paths, and teach the smaller model in a one-time training that ends once completed. This conventional architecture imposes a hard ceiling that cannot
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3 min read
Inference test measures superintelligence in bits, algorithm breaks the evaluation circularity of language models M. Jay M. Jay
Intelligence

Inference test measures superintelligence in bits, algorithm breaks the evaluation circularity of language models

Listen to this article Read by Anchor AI evaluation standards face a structural dilemma of rapid saturation and cognitive circularity, as tests lose their discriminative power once intelligent systems surpass the humans who designed their questions. In response to this bottleneck, researcher José Hernández Orallo, in a reference paper under
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2 min read
Secret recording of OpenAI’s executive meetings: employee detention puts superintelligent AI security under federal oversight M. Jay M. Jay
Intelligence

Secret recording of OpenAI’s executive meetings: employee detention puts superintelligent AI security under federal oversight

Listen to this article Read by Anchor The executive meeting room at OpenAI’s headquarters in San Francisco became the scene of a federal criminal investigation after a sophisticated recording device was secretly implanted in the room. U.S. federal authorities detained the company employee, Abdul Rahman Al-Fawzan, 35, in
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3 min read
Turning the embedding model into speech transcription: architecture reads an hour of recording in thirteen seconds M. Jay M. Jay
Intelligence

Turning the embedding model into speech transcription: architecture reads an hour of recording in thirteen seconds

Listen to this article Read by Anchor AI labs traditionally treat speech-to-text conversion as an independent engineering pipeline, requiring dedicated neural networks for speech recognition and intensive training on thousands of recorded hours. However, a new technical experiment revealed the possibility of bypassing this assumption by exploiting the latent architecture
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3 min read