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What is CHAI AI’s Chaiverse?

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This article provides a deep dive into the Chaiverse mechanism, how it works, and its implications for users

PALO ALTO, Calif., Feb. 17, 2024 /PRNewswire/ — A lot of Chai users have been asking the question, “What is Chaiverse?” a feature currently obscurely advertised by the Chai developers. With a recent valuation of $450M, the Chai AI team has been pouring their funding into the development of Chaiverse, with the aim of connecting world-class Large Language Model (LLM) developers directly to millions of Chat AI consumers, offering each user a tailor-made combination of LLMs. This article provides a deep dive into the Chaiverse mechanism, how it works, and its implications for users.

Chaiverse – The Developer to Consumer Ecosystem

One major product that sets Chai AI apart from others is its developer-centric approach. Unlike other Generative AI products, which typically offer models developed in-house, Chai AI has recently introduced their model developer platform, Chaiverse. This platform enables the Large-Language-Model Developer community to train, submit, and test their models with real-world users in a consumer setting. According to the Chaiverse white paper, their mission is to accelerate the advent of AGI through massively distributed collaboration, or crowdsourcing. Chai AI’s research team purport to be lazer-focussed on exploring what makes each Large Language Model (LLM) unique and to improve person-to-LLM recommendations.

The operation of Chai AI’s ecosystem is quite straightforward. Developers can easily upload their language models using the chaiverse pip package. Once submitted, these models are optimized for rapid inference and hosted on a dedicated GPU cluster for enhanced efficiency. After the model is operational, users of the Chai App can engage with it through arena mode, providing immediate numerical and textual feedback to developers.

This feedback, along with the ranking of a developer’s model on the public leaderboard, can be accessed through the chaiverse package. Cash prizes are awarded based on the developers’ standings in the competition, incentivizing them to strive for innovation and excellence in their model submissions. Winners are frequently announced both on Chai AI’s Twitter and Instagram accounts.

How does Chaiverse affect Chai App Users?

While the Chai AI team is quite secretive about how it will be integrating Chaiverse into its consumer-facing Chai App, we have gained some insights into how this will be achieved through Chai’s white paper on Chaiverse. In Chai’s white paper, they claim to have been implementing an LLM controller, routing each message input (conversation tree) to an LLM that is well-placed at generating a response specifically for the given conversation tree.

This approach offers multiple advantages:

Lower training costs: Training small-size models is accessible to a wider range of developers. Indeed, it is well known that training large-parameter LLMs is a prohibitively expensive task, and as a result is inaccessible to most machine learners.Lower inference costs: The inference cost of a multitude of small expert models is lower than that of a single large model.Higher iteration speed: Small models can be trained and deployed much faster than large ones, allowing for much shorter feedback loops and higher iteration speed.

Early results are promising: A carefully optimized mixture of 7B models has outperformed OpenAI’s GPT-3.5. Over a four-month period, their in-house LLMs have achieved a 20% day-30 engagement improvement, compared with the GPT-3.5 model. However, when the top models from the Chaiverse LLM competition were combined, day-30 engagement levels were elevated by 40% from the in-house models, marking a 68% total increase over GPT-3.5.

We have also obtained verbal confirmation from the Chai AI developers that on the 21st of February, all existing and new users will have the option to upgrade their chat engine to Chaiverse v0.0.1 and the developers promise to deliver a much more compelling AI which users love.

How do I Join Chaiverse As A Developer?

To join Chaiverse, one simply needs to join the Chaiverse Discord. A bot called “Chai AI” will greet you with a unique developer key. One also needs to download the Chaiverse pip package and use the developer key to submit models directly to users for real-world testing.

Chaiverse is currently said to be in beta mode. The Chai developers refer to each iteration of the Chaiverse product as a “season.” Externally, this is seen as a phase of the competition, where each season introduces a new target metric for developers to optimize towards. Since its launch, Chaiverse has received well over 10,000 unique model submissions, serving a range of model architectures such as LLaMa, Mistral, and Yi. Chaiverse has paid out to developers a total sum of $152,000 USD and promises to pay out $1 million USD before transitioning towards a direct monetization scheme.

Frequently Asked Questions (FAQ)

Q: How do I join Chaiverse?

A: You can find the link to Chaiverse discord server through the official Chaiverse website www.chaiverse.com. You will also need to have deep knowledge of Large Language Models and Python. The Chaiverse pip package can be installed via the command pip install chaiverse.

Q: What is Chaiverse?

A: Chaiverse is a platform developed by Chai AI that allows the Large-Language-Model Developer community to train, submit, and test their models with real-world users in a consumer setting, aiming to accelerate the development of AGI through crowdsourcing.

Q: What is the message limit on Chai?

A: The Chai app is free for everyone to use, but there is a message limit for unsubscribed users. These users can send up to 70 messages every 3 hours. This limit is designed to ensure a balanced and accessible experience for all users, while also encouraging those who frequently use the app to consider subscribing for unlimited access.

Q: Is the Chai App free?

A: Yes, the Chai App is free to download and use. However, it operates on a freemium model, where basic features are available for free, but users have the option to subscribe for enhanced features and access, such as an increased message limit beyond the free tier’s restrictions.

Q: Does Chai allow NSFW

A: Developers submit Large Language Models (LLMs) to Chai through Chaiverse. Chai has relaxed content moderation policies and allows users to submit any LLM they want so long as it passes Chai’s proprietary Safety Evaluation. Some of the user generated LLM’s may be NSFW, but the vast majority are Safe for Work. More community information on this matter can be found in Chai AI’s Reddit.

Q: What AI Platform has no censorship?

A: Chai AI, as a user-centric platform that emphasizes the power of User Generated Content (UGC) within its generative AI ecosystem, adopts a policy that minimally censors content. This approach allows for a broad spectrum of user interactions and expressions, reflecting the platform’s commitment to fostering a diverse and dynamic environment.

Q: Is the Chai App actually bots?

A: Yes, the Chai App primarily features interactions with AI-driven bots, trained to mimic human-like conversations and behaviors. This is a core aspect of Chai’s innovative approach, where the platform encourages developers within the Chaiverse ecosystem to refine and optimize their AI models for conumers.

Q: How many people use Chai AI?

A: As one of the leading platforms for conversational generative AI, Chai AI has garnered significant user engagement, positioning itself just behind Character AI in terms of popularity. By 2023, Chai AI reported an impressive daily active user (DAU) count of 700,000, with monthly active users (MAU) ranging between 4 to 5 million.

Press Contact:

Joe Nelson
+1 (626) 594-8966
https://chai-research.com/

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Axon Announces Body 5: Next-Generation Camera Built for the AI Era

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Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field

SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.

For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.

“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”

Axon Body 5: Built for the AI Era

Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day. 

For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.

Both models feature several key advancements, including:

25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.

The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:

A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.

Bringing More of Axon’s AI Era Into the Field

Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.

Increasingly, Axon is also bringing AI into real-time operations.

Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:

Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.

Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.

Innovating Responsibly

Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.

General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.

About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility. 

Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.

Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.

Media Contact:
Kate MacKinnon
Vice President, Communications
press@axon.com

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In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design

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The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.

ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.

The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.

The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.

Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.

The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.

Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.

Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.

Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.

The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.

As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.

A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.

About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.

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World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang

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WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:

On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.

He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.

With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.

Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.

This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.

Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.

In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.

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