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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

One million AI trainees per year in Egypt, with Intel's agreement promising some benefits while leaving other issues unresolved M. Jay M. Jay
Talent

One million AI trainees per year in Egypt, with Intel's agreement promising some benefits while leaving other issues unresolved

Listen to this article Read by Anchor One million people each year, for three consecutive years. That is the figure announced by the Egyptian Ministry of Communications and Information Technology on 16 September, after signing a memorandum of understanding with Intel to build citizens' capabilities in artificial intelligence. The
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3 min read
Intelligent agents reshape the founding team, imposing new standards for responsibility and hiring in startups M. Jay M. Jay
Intelligence

Intelligent agents reshape the founding team, imposing new standards for responsibility and hiring in startups

Listen to this article Read by Anchor Traditional trade-offs in the early founding stages are no longer limited to recruitment cost versus product-building speed, as the structure of emerging teams is undergoing a tangible shift with intelligent systems moving from mere employee assistance tools to independent agents that execute multi-step
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3 min read
Blocking data from smart modules raises compositional inference accuracy, confirming that constrained architectures outperform holistic vision M. Jay M. Jay
Intelligence

Blocking data from smart modules raises compositional inference accuracy, confirming that constrained architectures outperform holistic vision

Listen to this article Read by Anchor An earlier pre-registered confirmatory study published by researcher Narsis Marinkat on the Arkhive platform demonstrated that constraining what software modules read within intelligent systems noticeably improves what those systems learn from computational and inferential operations. The experiment relied on sixty software communities, each
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2 min read
A four-billion-parameter model outperforms Postgres plans, with reinforcement learning breaking the query ordering dilemma M. Jay M. Jay
Intelligence

A four-billion-parameter model outperforms Postgres plans, with reinforcement learning breaking the query ordering dilemma

Listen to this article Read by Anchor Computer science researchers have posed a fundamental question since 2015 about the true efficiency of query-optimizing engines in databases, and the same team, a decade later, confirms that traditional engines remain unable to deliver optimal performance. A recent engineering experiment by researcher Rohan
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3 min read
Tokeniser engineering untangles the efficiency mystery as research settles model pressure before the objective function M. Jay M. Jay
Intelligence

Tokeniser engineering untangles the efficiency mystery as research settles model pressure before the objective function

Listen to this article Read by Anchor Every architecture in modern language models starts with a primitive step that precedes weight training: converting written text into digital units or tokens via tokenisation algorithms. For many years, the construction of these tokenisers has been practically split between two dominant schools: byte-pair
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3 min read
Between the model layer and enterprise software: Disrupt judging panels scrutinize company durability and move past promotional pitches M. Jay M. Jay
Intelligence

Between the model layer and enterprise software: Disrupt judging panels scrutinize company durability and move past promotional pitches

Listen to this article Read by Anchor The polished pitch or clever code demo is no longer enough to convince judging panels in major startup competitions; the strict benchmark has become building companies that can survive and lead their market segments. The TechCrunch Disrupt 2026 events, scheduled for October 13-15
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3 min read
Managing corporate document repositories without large language models: GVD framework settles policy conflicts and version lineages locally M. Jay M. Jay
Intelligence

Managing corporate document repositories without large language models: GVD framework settles policy conflicts and version lineages locally

Listen to this article Read by Anchor Document repositories in corporate environments face a persistent dilemma that goes beyond mere file storage, as policies, regulations and procedural instructions undergo successive amendments and periodic replacement, leading to repeated content in varying wording and the emergence of new versions that explicitly revise
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2 min read
GraphEcho exposes reinforcement illusion in graph agents: structural redundancy deceives models and source training reduces their accuracy M. Jay M. Jay
Intelligence

GraphEcho exposes reinforcement illusion in graph agents: structural redundancy deceives models and source training reduces their accuracy

Listen to this article Read by Anchor AI agents that rely on networked knowledge bases reveal a hidden inference dilemma that misleads verification and decision-making processes. In a research paper deposited on the arXiv platform on 15 September 2026, titled “GraphEcho: Structural Redundancy and Evidence Origin in Graph-based Agents for
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3 min read
EvolveTrade develops agent trading policies autonomously: reviewing directives raises returns without modifying language models M. Jay M. Jay
Intelligence

EvolveTrade develops agent trading policies autonomously: reviewing directives raises returns without modifying language models

Listen to this article Read by Anchor Financial trading agents that rely on large language models face a structural operational dilemma when moving from simulated environments to live markets, because most of those systems depend on manually written directives and policies that remain fixed after deployment, limiting their ability to
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2 min read
CapMem benchmark turns visual recordings into textual memory: temporal captioning outperforms direct video processing M. Jay M. Jay
Intelligence

CapMem benchmark turns visual recordings into textual memory: temporal captioning outperforms direct video processing

Listen to this article Read by Anchor Wearable smart assistants face a complex engineering dilemma when it comes to building a long-term episodic memory from first-person video recordings. Although operational needs require retrieving past events and understanding their details accurately, contemporary vision-and-language models run into concrete constraints imposed by limited
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2 min read
Inspectors in training rooms ask if the Anthropic and OpenAI initiative will end the era of formal model safety evaluations M. Jay M. Jay
Intelligence

Inspectors in training rooms ask if the Anthropic and OpenAI initiative will end the era of formal model safety evaluations

Listen to this article Read by Anchor In a step that reflects the magnitude of the shift in AI safety standards, Dario Amodei, CEO of Anthropic, proposed integrating independent evaluation teams from external entities into major foundation model companies. The initiative, which received immediate commitment from Sam Altman, CEO of
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2 min read
Agent Societies face coordination traps, and a research paper calls for social harnessing frameworks to govern communication M. Jay M. Jay
Intelligence

Agent Societies face coordination traps, and a research paper calls for social harnessing frameworks to govern communication

Listen to this article Read by Anchor The shift of AI from individual models to autonomous agents reveals an invisible coordination problem within development corridors. In a research paper deposited on the arXiv platform on 15 September 2026, titled “Agent Societies Need a Social Belt,” laboratory experiments showed that agents’
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2 min read