Yann LeCun Exits Meta To Pioneer Next-Generation AI Innovations

by THEFUTURE.TEAM

November 20, 2025

Yann LeCun, one of the seminal figures in modern artificial intelligence, has announced his departure from Meta to pursue an ambitious new venture in advanced machine intelligence. The move marks a significant turning point as LeCun endeavors to develop AI systems that can understand the physical world, remember persistently, reason through complexities, and plan intricate action sequences.

A Bold New Vision For Advanced Machine Intelligence

In a detailed LinkedIn post, LeCun outlined his plans to launch a startup focused on what researchers describe as world models—systems that extend beyond traditional web-based data analysis to capture the nuances of physical reality. His initiative, rooted in the Advanced Machine Intelligence (AMI) program he helped nurture at Meta’s FAIR lab and New York University, is set to redefine how AI interacts with the physical environment. LeCun clearly stated that the startup aims to ignite a revolution in the field by enabling systems with robust memory, reasoning capabilities, and complex planning.

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Meta’s Shifting AI Landscape

The timing of LeCun’s exit coincides with a period of significant upheaval at Meta. The company recently restructured its AI research division following a lukewarm response to its open-source Llama model. As part of a sweeping overhaul, CEO Mark Zuckerberg has invested billions to attract premier AI talent, highlighted by a high-profile $14.5 billion deal with Scale AI and the recruitment of Alexandr Wang—a move which underscores Meta’s commitment to the competitive landscape dominated by giants such as OpenAI and Google.

Legacy, Partnerships, And The Future Of AI

LeCun’s tenure at Meta began in 2013 when he joined to lead the FAIR research team, a role that he simultaneously balanced with his academic commitments at New York University. He lauded his contributions to establishing FAIR as his most rewarding non-technical achievement. Reflecting on his journey, LeCun expressed gratitude toward influential figures like Mark Zuckerberg, Andrew Bosworth, Chris Cox, and Mike Schroepfer for their steadfast support of his work.

Despite departing from Meta, LeCun confirmed that the company will partner with his new venture, ensuring that the groundbreaking research initiated within FAIR continues to influence the broader industry. This collaboration highlights the nuanced balance between open-source research principles championed by LeCun and the proprietary, competitive strategies now shaping Silicon Valley’s approach to AI.

As LeCun embarks on this new chapter, his departure represents not only a personal milestone but also a broader shift in AI development. By venturing into uncharted territories of machine intelligence, LeCun aims to redefine the capabilities of artificial systems, setting the stage for innovations that could reshape industries and propel AI beyond its current limitations.

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Cyprus Income Distribution 2024: An In-Depth Breakdown of Economic Classes

by THEFUTURE.TEAM

December 24, 2025

New findings from the Cyprus Statistical Service offer a comprehensive analysis of the nation’s income stratification in 2024. The report, titled Population By Income Class, provides critical insights into the proportions of the population that fall within the middle, upper, and lower income brackets, as well as those at risk of poverty.

Income Distribution Overview

The data for 2024 show that 64.6% of the population falls within the middle income class – a modest increase from 63% in 2011. However, it is noteworthy that the range for this class begins at a comparatively low threshold of €15,501. Meanwhile, 27.8% of the population continues to reside in the lower income bracket (a figure largely unchanged from 27.7% in 2011), with nearly 14.6% of these individuals identified as at risk of poverty. The upper income class accounted for 7.6% of the population, a slight decline from 9.1% in 2011.

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Income Brackets And Their Thresholds

According to the report, the median equivalent disposable national income reached €20,666 in 2024. The upper limit of the lower income class was established at €15,500, and the threshold for poverty risk was set at €12,400. The middle income category spans from €15,501 to €41,332, while any household earning over €41,333 is classified in the upper income class. The median equivalents for each group were reported at €12,271 for the lower, €23,517 for the middle, and €51,316 for the upper income classes.

Methodological Insights And Comparative Findings

Employing the methodology recommended by the Organisation for Economic Co-operation and Development (OECD), the report defines the middle income class as households earning between 75% and 200% of the national median income. In contrast, incomes exceeding 200% of the median classify households as upper income, while those earning below 75% fall into the lower income category.

Detailed Findings Across Income Segments

Upper Income Class: Comprising 73,055 individuals (7.6% of the population), this group had a median equivalent disposable income of €51,136. Notably, the share of individuals in this category has contracted since 2011.
Upper Middle Income Segment: This subgroup includes 112,694 people (11.7% of the population) with a median income of €34,961. Combined with the upper income class, they represent 185,749 individuals.
Middle Income Group: Encompassing 30.3% of the population (approximately 294,624 individuals), this segment reports a median disposable income of €24,975.
Lower Middle And Lower Income Classes: The lower middle income category includes 22.2% of the population (211,768 individuals) with a median income of €17,800, while the lower income class accounts for 27.8% (267,557 individuals) with a median income of €12,271.

Payment Behaviors And Economic Implications

The report also examines how income levels influence repayment behavior for primary residence loans or rental payments. Historically, households in the lower income class have experienced the greatest delays. In 2024, 27.0% of those in the lower income bracket were late on payments—a significant improvement from 34.6% in 2011. For the middle income class, late payments were observed in 9.9% of cases, down from 21.4% in 2011. Among the upper income class, only 3% experienced delays, compared to 9.9% previously.

This detailed analysis underscores shifts in income distribution and repayment behavior across Cyprus, reflecting broader economic trends that are critical for policymakers and investors to consider as they navigate the evolving financial landscape.

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