Technology

CHAI AI: Post Training to Achieve SOTA MoE

Published

2 hours ago

June 10, 2026

CHAI AI has continued its efforts to improve its social AI platform through the integration of state-of-the-art (SOTA) open-source models and the application of advanced reinforcement learning methodologies. The company’s AI research team recently tested its own variants of DeepSeek-V4, Kimi-K2, GLM-5, and Gemma-4 on the platform against key metrics such as user engagement and retention. Today, CHAI AI announced that its latest in-house model achieved a 4% increase in Day-30 user retention using the GSPO reinforcement learning (RL) algorithm.

PALO ALTO, Calif., June 10, 2026 /PRNewswire/ — CHAI AI has continued its efforts to improve its social AI platform through the integration of state-of-the-art (SOTA) open-source models and the application of advanced reinforcement learning methodologies. The company’s AI research team recently tested its own variants of DeepSeek-V4, Kimi-K2, GLM-5, and Gemma-4 on the platform against key metrics such as user engagement and retention. Today, CHAI AI announced that its latest in-house model achieved a 4% increase in Day-30 user retention using the GSPO reinforcement learning (RL) algorithm.

The company transitioned its AI research from dense models to Mixture-of-Experts (MoE) models in early 2026 and has seen improvements in several key metrics using this architecture. Its AI researchers are also exploring novel RL strategies such as DPO, GRPO, and GSPO to improve the quality of their in-house models in a conventional setting. In their recent A/B tests, models trained with GSPO achieved better performance than models trained with GRPO across the board, aligning with Qwen’s publication.

CHAI’s AI Research

2022 – First Mover Advantage in Social AI

CHAI became one of the first dedicated social AI platforms to reach one million users, launching AI-powered character creation experiences before conversational AI became mainstream.

2023 – AI-Assisted Creation Breakthrough

The introduction of AI-assisted character creation tools led to a 56% increase in prompt quality and a 33% increase in user-generated AI creation.

2024 – User Generated AI Training

CHAI launched the first phase of user-controlled supervised fine-tuning (SFT), enabling power users to train AI systems that achieved engagement rates approaching twice those of internally developed agents.

2025 – The Future of Personalized AI

The company began development of User-Generated AI (UGAI), a framework designed to place advanced AI customization and alignment capabilities directly in the hands of users.

2026 – Mixture-of-Experts Training Begins

CHAI began incorporating large MoE models into its RLHF research. Its latest model is serving approximately 1 billion messages per day.

What is the mission of CHAI AI? People want to create their own AI and share it with others, and they want to discover and interact with AI built by people they follow. Just as social media platforms emerged when video creation and consumption became ubiquitous, social AI platforms are now emerging to meet an equivalent wave of consumer demand for generative AI creation, sharing, and interaction.

What is the growth rate and traction? In the last three consecutive years, CHAI AI has sustained a 3x growth rate with ARR crossing $80 million by the end of Q1 2026 and a projection to surpass $200 million.

What is the valuation of CHAI AI? CHAI AI is estimated to have a valuation of $2.4 billion as of Q1 2026, based on $80 million in ARR and its sustained growth rate.

Who are the major investors in CHAI AI? AMD and CoreWeave are the primary, strategic investors in CHAI AI, bringing its total investment to date to over $55 million.

What is the culture like at CHAI AI? Our fast-growing company is supported by a talented engineering team that thrives on fast iteration cycles and takes on the most challenging problems in the field. CHAI AI operates with a high-bar, high-reward culture where engineers own entire product segments end-to-end, from prototyping to production.

What is the compensation? CHAI AI competes with top-paying companies such as Jane Street, OpenAI, Meta, and Citadel. We pay 100% cash salaries and are known for generous compensation offers, with the option to trade a portion of cash for stock options. The founding team’s background is in quantitative trading, and they have maintained a compensation philosophy consistent with that culture.

How do promotions and performance reviews work? Performance is reviewed on a daily basis, and engineers are expected to work hard and drive impact. At the beginning of each year, there is a performance-based salary increase.

What is the management structure? The structure is flat, with a team of 15 to 20 engineers.

What are the typical working hours? Engineers at CHAI AI typically work from 9 AM to 5 PM during weekdays, as well as Saturday morning.

Is there vacation or PTO? CHAI AI does not have a set number of vacation days on the calendar, but we respect that employees need time to recharge. In practice, most engineers take 14 – 20 days off per year.

Is the role fully in-person in Palo Alto, hybrid, or remote-friendly? All CHAI employees are expected to work in person in Palo Alto. As a startup that moves fast, we want to ensure the team stays in sync.

What’s the onboarding experience like for new engineers? New hires follow a structured 3-month onboarding plan. Each new hire is paired with an experienced hire and ramped up quickly. You will be assigned high-impact tasks from day one, with clear evaluation metrics and direct mentorship from peers.

Press Contact:

CHAI AI Press
+1 (626) 594-8966

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SOURCE Chai AI

Technology

brightplace Brings Financial Intelligence to Apartment Search

Published

18 minutes ago

June 10, 2026

Rental Advisor now evaluates take-home pay, True Monthly Cost, renter qualification rules, local cost of living, and job-market strength across every U.S. rental market.

NEW YORK, June 10, 2026 /PRNewswire/ — brightplace, the AI-native intelligence layer informing modern apartment rental search, today announced new financial intelligence powering its Rental Advisor. The Advisor can now evaluate earning power and the full cost of renting across every U.S. rental market, directly addressing affordability, the most consistently cited concern in apartment search.

The capability arrives against a record-setting backdrop. According to Harvard’s Joint Center for Housing Studies America’s Rental Housing 2026 report, 22.7 million U.S. renter households are cost-burdened, nearly half of all renters, with 12.1 million spending more than half their income on rent. Cost pressure has spread well beyond low-income households: 49 percent of renters earning $45,000 to $74,999 are now cost-burdened, a 9.5 percentage point increase since 2019.

Apartment search has historically operated without the financial context to help renters close that gap. Listed rent is treated as the full cost of housing, even though state and local taxes, utilities, cost of living, renters insurance, and lease fees can add hundreds of dollars per month to what a renter actually pays. Listed salary tells a renter even less about whether a city is the right move.

The expanded Rental Advisor closes that gap. It estimates take-home pay against state and federal tax rates, evaluates affordability against the 30 percent income guideline, the 40x rule, and the 3x rent threshold properties use to qualify renters, and frames every recommendation around True Monthly Cost. Affordability rankings cover every U.S. rental market, with hiring activity, salary benchmarks, and cost-of-living-adjusted earning power layered in.

“Apartment search has always shown the easiest number to find: listed rent,” said Brian Lichtenberger, founder and CEO of brightplace. “Listed rent is not the same as affordability, and listed salary is not the same as earning power. The most consequential recurring financial decision most people make every year is made with incomplete information.”

True Monthly Cost is the actual monthly cost of renting an apartment: listed rent plus utilities, renters insurance, and recurring fees like pet rent and parking. It runs 15 to 30 percent higher than listed rent and now anchors every Rental Advisor conversation.

Sample prompts the Rental Advisor now answers include:

“I’m moving to Austin for a job paying $82,000. What rent range can I realistically afford after taxes and local costs?”

“Compare Austin, Denver, and Raleigh for someone earning $47,000. Where does my income go furthest?”

“I’m a new grad deciding between Tampa, Charlotte, Nashville, and Raleigh. Which city has the best balance of hiring, salary, rent, and cost of living?”

“What is the True Monthly Cost of a $2,200 apartment in Phoenix once utilities, insurance, parking, and pet rent are included?”

Because affordability is evaluated before a renter reaches a property, the same intelligence can improve the lead quality operators receive. Renters who arrive having already screened themselves against True Monthly Cost and their earning power are less likely to pursue apartments that were never realistically within reach, which can reduce tour cancellations, application drop-off, and lease-up friction.

“This is the difference between an interface that returns listings and an intelligence layer that informs decisions,” added Lichtenberger. “The next generation of apartment search will help renters understand which markets, jobs, neighborhoods, and apartments actually work for their lives.”

The expanded Rental Advisor is live now at app.brightplace.ai.

About brightplace

brightplace is the AI-native intelligence layer informing modern apartment rental search. It combines property and unit data, financial intelligence, neighborhood context, and renter reviews to deliver advisor-grade rental guidance across every U.S. market. brightplace’s Rental Advisor surfaces this intelligence directly to renters, while operators and partners can integrate the same intelligence across the rental ecosystem. brightplace launched publicly in April 2026 and was selected for the inaugural RET Ventures PropTech AI Accelerator. brightplace is headquartered in New York. For more information, visit brightplace.ai.

Media Contact
Katie Mikles
Content and Brand, brightplace
405-625-6289
416490@email4pr.com

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SOURCE brightplace

Technology

TGE Accelerates Optimisation of Asset‑Liability Structure

Published

18 minutes ago

June 10, 2026

PARIS, NEW YORK, and LONDON, June 10, 2026 /PRNewswire/ — AMTD Group Inc. (“AMTD Group”), AMTD IDEA Group (“AMTD IDEA”) (NYSE: AMTD; SGX: HKB), AMTD Digital Inc. (NYSE: HKD) and The Generation Essentials Group (“TGE”) (NYSE: TGE; LSE: TGE), a subsidiary of AMTD Digital Inc., jointly announce that TGE has reduced the gearing of its hotel portfolio through cash settlement of HKD89.5 million (approximately US$11.4 million) loans, further optimising its asset‑liability structure.

This debt reduction reflects the ongoing strategic goal of TGE and the broader AMTD Group to strengthen the balance sheets by ongoing gearing reduction, enhancing asset quality through the acquisition and management of high‑quality hospitality assets, and stepping up overall returns. By focusing on lowering leverage and reinforcing a solid asset base, TGE aims to establish a more resilient corporate platform and deliver sustainable long-term value to shareholders.

About AMTD Group

AMTD Group is a conglomerate with a core business portfolio spanning across media and entertainment, education and training, and premium assets and hospitality sectors.

About AMTD IDEA Group

AMTD IDEA Group (NYSE: AMTD; SGX: HKB) represents a diversified institution and digital solutions conglomerate group, connecting companies and investors with global markets. Its comprehensive one-stop business services plus digital solutions platform addresses different clients’ diverse and inter-connected business needs and digital requirements across all phases of their life cycles. AMTD IDEA Group is uniquely positioned as an active super connector between clients, business partners, investee companies, and investors, connecting the East and the West. For more information, please visit www.amtdinc.com or follow us on X (formerly known as “Twitter”) at @AMTDGroup.

About AMTD Digital Inc.

AMTD Digital Inc. (NYSE: HKD) is a comprehensive digital solutions platform headquartered in France. Its one-stop digital solutions platform operates key business lines including digital media, content and marketing services, investments as well as hospitality and VIP services. For AMTD Digital’s announcements, please visit https://ir.amtdigital.net/investor-news.

About The Generation Essentials Group

The Generation Essentials Group (NYSE: TGE; LSE: TGE), jointly established by AMTD Group, AMTD IDEA Group (NYSE: AMTD; SGX: HKB) and AMTD Digital Inc. (NYSE: HKD), is headquartered in France and focuses on global strategies and developments in multi-media, entertainment, and cultural affairs worldwide as well as hospitality and VIP services. TGE comprises L’Officiel, The Art Newspaper, movie and entertainment projects. Collectively, TGE is a diversified portfolio of media and entertainment businesses, and a global portfolio of premium properties. Also, TGE is a special purpose acquisition company (SPAC) sponsor manager, with its first SPAC successfully raised and priced on December 18, 2025.

Safe Harbor Statement

This press release contains statements that may constitute “forward-looking” statements pursuant to the “safe harbor”provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,””anticipates,” “aims,” “future,” “intends,” “plans,” “believes,””estimates,” “likely to,” and similar statements. Statements that are not historical facts, including statements about the beliefs, plans, and expectations of AMTD IDEA Group, AMTD Digital and/or The Generation Essentials Group, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. Further information regarding these and other risks is included in the filings of AMTD IDEA Group, AMTD Digital and The Generation Essentials Group with the SEC. All information provided in this press release is as of the date of this press release, and none of AMTD IDEA Group, AMTD Digital and The Generation Essentials Group undertakes any obligation to update any forward-looking statement, except as required under applicable law.

For more information, please contact:

For AMTD IDEA Group:
IR Office
AMTD IDEA Group
EMAIL: ir@amtdinc.com

For AMTD Digital Inc.:
IR Office
AMTD Digital Inc.
EMAIL: ir@amtdigital.net

For The Generation Essentials Group:
IR Office
The Generation Essentials Group
EMAIL: ir@tge.media

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SOURCE AMTD IDEA Group; AMTD Digital Inc.; The Generation Essentials Group

Technology

CompScience Releases New Whitepaper on Modernizing Safety Training for a Multi-Generational Workforce

Published

18 minutes ago

June 10, 2026

“From Boomers to Zoomers: Rethinking Safety Training for a Multi-Generational Workforce” explores how organizations can reduce risk, improve retention, and strengthen workplace safety across four generations of workers.

SAN FRANCISCO, June 10, 2026 /PRNewswire/ — Today, CompScience, a business insurance provider pairing coverage with AI-powered risk mitigation, released its new whitepaper, “From Boomers to Zoomers: Rethinking Safety Training for a Multi-Generational Workforce.”

The report examines one of the most significant workforce shifts in modern history: the convergence of Baby Boomers, Gen X, Millennials, and Gen Z working side by side for the first time in modern history. This is further complicated by a growing number of “unretired” workers returning to the workforce due to economic necessity.

As organizations face rising operational complexity, labor shortages, shifts in technology, and evolving workplace expectations, the whitepaper argues that traditional “one-size-fits-all” safety training programs are no longer effective. Instead, companies must adopt adaptive, personalized training strategies that reflect the distinct communication styles, learning preferences, and work values of each generation. CompScience based their analysis on successful implementations at leading industry companies such as GE, IBM, Johnson & Johnson, and more.

“Workplace safety practices are a matter of life and death,” said Josh Butler, CEO and Founder of CompScience. ” It’s critical that organizations account for generational dynamics in their approach to safety training. Companies can harness the unique strengths of a multi-generational workforce to unlock untold potential, but a failure to do so can lead to inconsistent behaviors, lower engagement, and ultimately increased workplace risk.”

The whitepaper outlines how leading organizations are modernizing safety and workforce training through:

Blended learning models that combine in-person and digital trainingCross-generational mentorship and reverse mentoring programsPersonalized and adaptive learning pathwaysMulti-channel communication strategies designed for diverse workforcesHow AI and technology play a part in improving safety outcomes

Notably, the report highlights how organizations are using generational diversity as a strategic advantage to improve collaboration, retention, and safety outcomes.

The report also examines the growing trend of “unretirement,” with approximately 20–25% of retirees returning to work, creating new workforce planning and safety considerations for employers navigating rapidly evolving technologies and workplace environments.

CompScience explains how AI-powered computer vision and behavioral risk analytics can help organizations create more adaptive safety cultures by identifying risky behaviors in real time and reinforcing safer work habits across all experience levels.

Built by leaders with backgrounds from organizations including Liberty Mutual, Zurich Insurance Group, Chubb, and AIG, CompScience combines its proprietary artificial intelligence, computer vision, claims management, and occupational safety expertise to help companies proactively reduce injuries and improve workplace safety performance.

Click here to read the full whitepaper, “From Boomers to Zoomers: Rethinking Safety Training for a Multi-Generational Workforce.”

About CompScience

With a mission to prevent 1 million injuries in the next decade, CompScience is a technology-enabled managing general agent (MGA) transforming workers’ compensation insurance through AI-driven workplace safety and advanced underwriting. Its integrated platform aligns underwriting, risk management, and safety performance, enabling more accurate risk selection, better loss outcomes, and broader coverage solutions for clients. By leveraging technology to continuously improve workplace safety, CompScience helps employers reduce claims, lower total cost of risk, and access high-quality workers’ compensation coverage tailored to their operations. For more information, visit their website or Linkedin page.

Media Contact
Blaire Swayze
Director of InsurTech Comms & PR
T Palmer Agency
blaire@tpalmeragency.com

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SOURCE CompScience