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Chinese Lab Z.ai Confirms Origin of Acclaimed Ox Alpha AI Model

Chinese technology company Z.ai has confirmed its role as the developer of the much-discussed Ox Alpha artificial intelligence model. This revelation clarifies the origins of the AI, which had garnered considerable attention for its advanced capabilities and was initially deployed in an anonymous capacity. The company launched Ox Alpha as a precursor to its GLM-5.3-Flash model, strategically testing its performance and gathering user insights on platforms like OpenRouter and OpenCode.

The announcement from Z.ai on Wednesday brought an end to widespread speculation surrounding Ox Alpha's true developers. By making the model's weights accessible on Hugging Face, Z.ai has empowered developers worldwide to download, customize, and build upon its foundation. This move underscores the company's commitment to fostering an open and collaborative AI development environment. The model's multimodal functionality, supporting text, image, and video processing, alongside its impressive context window of up to 1 million tokens, positions it as a versatile tool for various applications.

Prior to Z.ai's official announcement, Ox Alpha had already captured the interest of the developer community. Its debut on OpenRouter, an AI tool platform, highlighted its prowess in complex reasoning tasks, coding, and autonomous operational capabilities. OpenCode, an open-source AI coding agent, further emphasized the model's generous offering of nearly unlimited usage for a week, boasting an immense processing capacity of 100 trillion tokens daily. This accessibility and performance quickly earned it accolades, including praise from prominent tech leaders such as Stripe CEO Patrick Collison, who described it as "very impressive."

The mysterious nature of Ox Alpha fueled considerable online discussion, with many developers attempting to uncover its origins. Some speculated about its connection to Z.ai, noting behavioral similarities between Ox Alpha's tokenizer and responses and Z.ai's existing GLM models. This was not Z.ai's first anonymous testing endeavor; the company had previously launched another GLM model under the alias Pony Alpha. The model's name itself sparked cultural discussions among Chinese social media users, who drew parallels between "Ox" and "Niu Lai" (Here Comes the Ox), a popular viral meme derived from a Chinese animated film, further hinting at its Chinese roots.

The confirmation by Z.ai resolves the mystery surrounding the Ox Alpha AI model, validating earlier analyses by technical experts and online communities. This development signifies a notable achievement for the Chinese AI sector, showcasing its capacity to innovate and compete on a global scale. The transparency in making the model's components available on platforms like Hugging Face aligns with broader trends in open-source AI, encouraging collaborative innovation and accelerating technological advancements.

The Most Diligent US States, Ranked

This report delves into the labor landscape of the United States, presenting a comprehensive ranking of states based on their perceived work ethic. Drawing on a detailed analysis by WalletHub, the study examines various facets of working life, from average weekly hours to volunteer engagement and leisure time, to illustrate where each state stands in terms of dedication and productivity.

Unveiling America's Labor Leaders: A State-by-State Look at Work Ethic

Understanding the Metrics: How States are Evaluated

American workers typically dedicate around 1,800 hours annually to their jobs. However, this figure varies considerably across the nation. A 2026 WalletHub report assessed all 50 states, categorizing them by how diligently their residents work. The evaluation relied on ten distinct indicators, divided into “direct work factors” and “indirect work factors.”

Direct Work Factors: Gauging Core Labor Contributions

The direct work factors included metrics such as the average length of a workweek, overall employment rates, the proportion of employees with unused vacation days, findings from Gallup polls on employee engagement, and the prevalence of “idle youth.” This latter category refers to individuals aged 18-24 who have not pursued education beyond a high school diploma or GED and are neither employed nor enrolled in school.

Indirect Work Factors: Beyond the Clock

Indirect work factors provided a broader perspective, incorporating average commute times, the percentage of the workforce holding multiple jobs, annual volunteer hours per resident, and the typical amount of daily leisure time. Data for this analysis was sourced from reputable institutions like the US Census Bureau, the Bureau of Labor Statistics, the US Travel Association, Gallup, the Annie E. Casey Foundation, and AmeriCorps.

The Least Diligent: Michigan’s Persistent Ranking

For the second consecutive year, Michigan was identified as the state with the lowest work ethic. Its direct work factors received the lowest ranking among all states, characterized by the fifth-lowest employment rate nationwide. Its indirect work factors were positioned 34th.

Oregon: Second from the Bottom

Oregon closely followed Michigan as the second-least diligent state. Its direct work factors were ranked 49th, mainly due to the fourth-lowest average workweek hours and employment rate. In contrast, its indirect work factors ranked 21st.

New Jersey: Low Employment and Effort

New Jersey secured the third spot among the least hardworking states, primarily due to its third-lowest employment rate across the US. The state’s direct work factors ranked 48th, while its indirect factors were 33rd.

Ohio: A Blend of Direct and Indirect Work Rankings

Ohio’s direct work factors were ranked 47th, with its indirect work factors placing 27th.

Nevada: High Idle Youth Rates

Nevada exhibited the second-lowest employment rate nationally, only surpassed by California. It also shared the highest idle youth rate with Louisiana and Mississippi. Overall, Nevada’s direct work factors were 40th, and its indirect factors were 47th.

Rhode Island: Short Workweeks and Volunteerism

Rhode Island reported the third-shortest average workweek and the third-lowest annual volunteer hours per resident. However, it tied with Massachusetts and North Dakota for the second-lowest idle youth rate. Its direct work factors were 44th, and indirect factors were 37th.

California: The Lowest Employment Rate

California recorded the lowest employment rate among all states. It ranked 46th in direct work factors and 26th in indirect work factors.

New York: Brief Workweeks

New York shared the fifth-lowest average workweek hours with Massachusetts. Its direct work factors were 45th, and indirect work factors were 24th.

West Virginia: Idle Youth Challenge

West Virginia, along with Oklahoma, had the fifth-highest idle youth rate. This resulted in a 42nd ranking for direct work factors and 39th for indirect work factors.

Pennsylvania: Mid-Range Performance

Pennsylvania’s direct work factors were ranked 36th, while its indirect work factors were 31st.

Illinois: Balancing Direct and Indirect Efforts

Illinois ranked 38th in direct work factors and 22nd in indirect work factors.

New Mexico: Minimal Leisure Time

Residents of New Mexico reported the fourth-lowest average daily leisure time. The state’s direct work factors ranked 35th, and its indirect work factors were 29th.

Washington: Strong Indirect Work Factors

Washington’s direct work factors were 41st. Notably, its indirect work factors achieved a top 10 position, ranking seventh.

Massachusetts: A Mix of Short Workweeks and Low Idle Youth

Massachusetts ranked 43rd in direct work factors and fifth in indirect work factors. It shared the fifth-lowest average workweek hours with New York and the second-lowest idle youth rate with North Dakota and Rhode Island.

South Carolina: Ample Leisure Time

South Carolina stood out for having the fifth-highest average daily leisure time. Its direct work factors ranked 32nd, and indirect work factors were 44th.

Connecticut: High Volunteerism

Connecticut boasted the fourth-highest annual volunteer hours per resident. Its direct work factors ranked 37th, and indirect work factors were 11th.

Delaware: Very Little Leisure Time

Delaware recorded the lowest average daily leisure time. Its direct work factors were 39th, and its indirect work factors were sixth.

Kentucky: Consistent Rankings

Kentucky’s direct and indirect work factors were similarly ranked, placing 34th and 32nd, respectively.

North Carolina: High Leisure, Low Indirect Work

North Carolinians enjoyed the third-highest amount of daily leisure time. The state ranked 22nd in direct work factors but 48th in indirect work factors.

Missouri: Balanced but Moderate

Missouri ranked 28th in direct work factors and 40th in indirect work factors.

Florida: Direct Work Outshines Indirect

Florida’s direct work factors were 26th, while its indirect work factors were 43rd.

Arkansas: Volunteerism and Idle Youth

Arkansas’s direct work factors ranked 23rd. Its indirect work factors were lower at 46th, marked by the fifth-lowest annual volunteer hours and the fourth-highest idle youth rate.

Arizona: Moderate in Both Categories

Arizona’s direct work factors ranked 29th, and its indirect work factors were 20th.

Maine: Middle-of-the-Road Performance

Maine’s direct work factors were 27th, and its indirect work factors were 23rd.

Idaho: High Volunteerism, Overall Moderate

Idaho ranked 31st in direct work factors and ninth in indirect work factors, placing it 26th overall. It also had the second-highest annual volunteer hours, trailing only Utah.

Minnesota: Low Idle Youth, High Indirect Work

Minnesota tied with Iowa for the fifth-lowest idle youth rate and ranked eighth in indirect work factors.

Vermont: Short Workweeks, High Employment

Vermont featured the second-shortest average workweek and the fourth-most daily leisure time. Despite this, it had the fourth-highest employment rate, ranking 24th for direct work factors.

Utah: Shortest Workweeks, Highest Volunteer Hours

Utah was the fourth hardest-working state by indirect work factors. Its workers had the shortest workweeks and contributed the most volunteer hours among all states.

Louisiana: Long Workweeks and Idle Youth

Louisiana shared the second-longest average workweek hours with Texas. It ranked 19th for direct work factors and 42nd for indirect work factors, also sharing the highest idle youth rate with Mississippi and Nevada.

Mississippi: Low Leisure, Long Workweeks

Mississippi workers had the second-lowest daily leisure time and the lowest annual volunteer hours. The state ranked last in indirect work factors and had the fourth-longest workweek.

Wisconsin: Direct vs. Indirect

Wisconsin ranked 25th for direct work factors and 17th for indirect work factors, placing it 20th overall.

Indiana: Balanced Work Factors

Indiana ranked 20th in direct work factors and 25th in indirect work factors.

Iowa: Low Idle Youth, Strong Direct Work

Iowa, tied with Minnesota for the fifth-lowest idle youth rate, ranked 17th for direct work factors and 30th for indirect factors.

Montana: Strong Volunteerism

Montana, ranked 13th for indirect work factors, reported the third-highest annual volunteer hours per resident.

Alabama: High Employment

With the fifth-highest employment rate nationally, Alabama ranked eighth among US states for direct work factors.

Colorado: Consistent Performance

Colorado ranked 16th for both direct and indirect work factors, making it the 15th hardest-working state.

Maryland: High Indirect Work

Maryland was the third hardest-working state by indirect work factors, while direct work factors placed it 18th.

Oklahoma: Strong Direct Work, High Idle Youth

Oklahoma ranked 10th for direct work factors, despite sharing the fifth-highest idle youth rate with West Virginia.

Kansas: Solid Middle Ground

Kansas ranked 15th in both direct and indirect work factors, earning it the 12th position overall.

Virginia: Strong and Balanced

Virginia ranked 14th for both direct and indirect work factors, making it the 11th hardest-working state.

Georgia: Strong Direct Work, Moderate Indirect

Georgia ranked ninth for direct work factors, with indirect factors placing it 28th.

Tennessee: High Direct Work, Moderate Indirect

Tennessee ranked 11th for direct work factors and 18th for indirect work factors.

New Hampshire: Lowest Idle Youth

New Hampshire had the lowest idle youth rates in the country, ranking 10th for indirect work factors and 12th for direct work factors.

Texas: Long Workweeks

Texas, sharing the longest average workweek with Louisiana, ranked sixth for direct work factors.

Nebraska: Strong Direct Work, Lower Indirect

Nebraska ranked fifth in direct work factors, despite its indirect work factors placing 38th.

Wyoming: Balanced High Effort

Wyoming, tied with South Dakota for the fifth-highest average workweek hours, also had the fifth-highest annual volunteer hours and the third-lowest daily leisure time. It ranked second for indirect work factors and seventh for direct work factors.

Hawaii: High Employment, Leading Indirect Work

Hawaii, with the second-highest employment rate nationally, was the leading US state for indirect work factors and the fourth hardest-working for direct work factors.

Alaska: Longest Workweeks, Low Leisure

Alaskan workers reported the longest workweek, averaging 41.4 hours, and the second-lowest daily leisure time. The state ranked third overall for work ethic.

North Dakota: Leading Direct Work, High Leisure

With an employment rate exceeding 97%, North Dakota had the third-highest employment rate, the fifth-longest average workweek, and the second-lowest idle youth rate. It was the hardest-working state for direct work factors. Despite its high work ethic, residents also enjoyed the highest average daily leisure time. Overall, it ranked highest on direct work factors despite a lower ranking (fifth-lowest) on indirect work factors.

South Dakota: The Nation's Most Diligent

South Dakota emerged as the hardest-working US state. It featured the 11th-highest rate of workers with multiple jobs, the fifth-lowest idle youth rate, the highest employment rate, and tied with Wyoming for the fifth-longest average workweek. Workers in the state also reported the fifth-lowest average daily leisure time.

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Sam Altman's Watches Spark 'Lord of the Rings' Memes

OpenAI CEO Sam Altman's recent acquisition of seven bespoke Vanguart timepieces has inadvertently ignited a flurry of 'Lord of the Rings' inspired commentary across social media platforms. The exclusivity of these custom-designed watches, intended for Altman and his core team, has resonated with the tech community's established admiration for Tolkien's fantasy world, leading to a wave of creative comparisons and internet humor. This event underscores a broader trend within Silicon Valley, where high-end horology is increasingly becoming a vehicle for displaying status and personal brand identity.

The genesis of this viral phenomenon traces back to a report by The Wall Street Journal, which highlighted Altman's penchant for luxury watches, specifically mentioning his commission of seven unique pieces from the Swiss manufacturer Vanguart. This revelation quickly captured the attention of watch aficionados on X (formerly Twitter), with one prominent account, The Luxury Watch Guy, garnering over a million views for its post on the subject. The concept of a select group receiving such rare, custom-crafted items immediately drew parallels to the iconic 'Rings of Power' from J.R.R. Tolkien's literary masterpiece. Users on social media, known for their quick wit and creativity, began crafting memes that cleverly intertwined the narrative of the 'Lord of the Rings' with the Silicon Valley tech scene.

One notable example came from Rory Johnston, an energy market researcher, who responded with an image from the opening sequence of 'The Fellowship of the Ring,' subtly implying the shared mystique. Another user took the creative reins further, reimagining Tolkien's famous verse to fit the tech industry's hierarchy, allocating watches to AI researchers, venture capitalists, and "SaaS founders destined for demise." In this revised epic, a solitary watch was bestowed upon Altman, envisioning him on his "dark throne in the land of Silicon Valley where the shadows lie," a clear homage to the powerful Ring and its bearer. The Vanguart Orb, which served as the model for Altman's custom watches, carries a hefty starting price of $180,000, further emphasizing the opulent nature of these timepieces. This is not Altman's first foray into rare horology; in 2023, he was seen sporting a Greubel Forsey Invention Piece 1, a timepiece that commanded a price tag of around $480,000 upon its release, with only 33 units ever produced.

This incident is indicative of a broader cultural shift within the tech elite, where sophisticated timepieces have evolved beyond mere instruments for telling time. They have become potent symbols of achievement, affiliation, and individual identity. Just last week, employees from prominent tech companies such as OpenAI, Uber, and Palantir showcased their customized Tudor watches, each adorned with company branding, on X. Boris Power, OpenAI's head of applied research, shared images of a company-branded Tudor engraved with the adage "Good Research Takes Time," revealing that 400 such watches were produced. While still a limited edition, this run was significantly larger than Altman's exclusive seven-piece Vanguart collection, highlighting the varying degrees of exclusivity and branding within this emerging trend.

The buzz surrounding Sam Altman's unique collection of timepieces and the subsequent internet memes serve as a fascinating reflection of how luxury items can intertwine with popular culture and industry narratives. The 'Lord of the Rings' analogy, applied to these highly exclusive watches, highlights the perceived power and influence associated with tech leaders in Silicon Valley. This trend also underscores the evolving role of luxury goods as personal and corporate branding tools, particularly within a community that frequently draws inspiration from epic tales to define its own sagas of innovation and ambition.

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