Zhipu's GLM-5.3-Highspeed model appears in ZCode beta with a claimed speed of around 490 tokens per second
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Pandaily
pandaily.com

Zhipu's GLM-5.3-Highspeed model appears in ZCode beta with a claimed speed of around 490 tokens per second

Zhipu appears to be testing a faster version of its latest model. The model, named GLM-5.3-Highspeed, has started appearing in ZCode, the company's coding tool, according to a report by QbitAI. The source of this information is a user who first discovered the model in version ZCode 3.15.1.

Access to this model is restricted. It is being rolled out as a beta release for randomly selected subscribers and is unavailable to all paid plan users. One QbitAI reporter using the Lite plan attempted to manually add and switch to this model but was unsuccessful, possibly because their access level is unsuitable or their account was not included in the test.

The figures that attracted attention come from users, not from Zhipu itself. The user who discovered the model shared a screenshot showing that generation occurs at a speed of approximately 490 tokens per second. At this speed, generating 10,000 tokens would take about 20 seconds. Since Zhipu has not made an official announcement about this model nor published official throughput metrics, this number should be considered a user-generated measurement rather than a guaranteed service level.

For comparison, GLM-5.3-FlashX, released by Zhipu last month, achieved a peak speed of around 200 tokens per second, while Artificial Analysis measured GLM-5.3-Flash via the Z.ai API at a speed of approximately 60 tokens per second.

There were previous hints about this model. The Pi models catalog, an open coding agent, already includes GLM-5.3-Highspeed with a context window of 1 million tokens and a maximum output of 131,072 tokens, or about 128 thousand, as well as low, high, and maximum reasoning effort settings.

Users on Reddit have also questioned the connection between this model and Omen Alpha, an anonymous model that appeared in OpenCode in September and was often linked to GLM. Speculations about Omen Alpha's identity vary: some point to GLM-5.3-Highspeed, others to Omni or a 5.4 Flash variant. None of this has been confirmed by Zhipu.

If the speed near 490 tokens per second is maintained with wider adoption, this model will be most significant for long-running agent and coding tasks where generation waiting time accumulates. For now, it remains a limited test within ZCode.

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Honor's Robot Phone is equipped with a camera that automatically tracks the user
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www.aajtak.in

Honor's Robot Phone is equipped with a camera that automatically tracks the user

Many users are interested in the Robot Phone, previously introduced by Honor, although it has not yet been released for sale in India. Currently, a video demonstrating one of the most outstanding features of this smartphone is actively circulating online.

When the camera on the back panel of the Robot Phone is activated, a stabilized gimbal camera extends. This camera is capable of tracking people and also ensures stable video recording even when the phone itself is moving, making it a unique device.

The Robot Phone uses a 200 MP camera installed in a robotic arm. It automatically tracks people on the rear panel of the device. This video was published on the social media platform X (formerly known as Twitter).

Honor launched its robot on the global market in August of this year. This smartphone is equipped with a 6.31-inch display with LTPO OLED technology. It runs on the MagicOS 10 operating system, based on Android 16.

The Honor Robot Phone features a triple rear camera system. The main camera has a resolution of 200 MP and is integrated with the gimbal system. Additionally, there is a secondary camera—a 200-megapixel periscope telephoto lens, as well as a 50 MP ultra-wide-angle lens. A 50 MP front camera is also provided.

The Robot Phone is also equipped with a 7060 mAh battery. The device supports 120W wired fast charging and 50W wireless charging.

Epic Games CEO announces significant shift in company strategy towards artificial intelligence use
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iol.co.za

Epic Games CEO announces significant shift in company strategy towards artificial intelligence use

Epic Games CEO Tim Sweeney, the developer of Fortnite, announced on Monday that the company is making a 'huge pivot' toward using artificial intelligence (AI) to improve the video game development process.

Sweeney wrote on the social network X that the American gaming corporation is 'reallocating developers for maximum acceleration with AI.' He clarified that the goal of this move is not to accomplish previous tasks with fewer employees, but rather to enable all team members to create more and higher-quality content, and to provide these benefits to all teams using the Unreal engine.

This announcement came amid active discussions about the role of AI in art and creative industries. Furthermore, it occurred approximately six months after Epic Games announced the layoff of over a thousand employees, although company management attributed this decision to broader issues such as slowing growth, rather than the influence of AI.

By increasing internal use of AI, Epic Games will be able to 'survive the AI revolution, help other developers do the same, and emerge from this process with better code and content faster,' Sweeney noted on Monday. He also responded to criticism from one user on X who expressed bewilderment at its 'inability to sense the atmosphere.' In response, Sweeney stated: 'Our job, as a provider of tools and technologies for most of the industry, is to design for the present that is, and for the future that is coming soon. Personally, I am optimistic about this and consider it an empowerment for creators.'

Despite the use of AI in the industry, its application in game development remains controversial. According to PC Gamer data, over 85 percent of game developers in Japan use AI, compared to 36 percent of developers in North America.

It was also reported that Epic Games is delaying the release of a game developed in collaboration with Disney, according to a Bloomberg report from Monday. This game, which was scheduled for a March release and featured characters from Marvel and Star Wars, now requires employees to adopt an 'AI-first' approach to development. Epic Games did not immediately respond to requests for comment.

Meta claims new AI models Wonder and Wonder Full match the level of OpenAI and Anthropic
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iol.co.za

Meta claims new AI models Wonder and Wonder Full match the level of OpenAI and Anthropic

Meta has introduced two new advanced artificial intelligences named Wonder and Wonder Full. The company states that these models demonstrate performance comparable to products such as OpenAI's ChatGPT and Anthropic's Claude.

CEO Mark Zuckerberg wrote on the social network X that following the Muse Spark family of models, Muse Wonder represents a much larger and more advanced class of models, putting the company at the forefront.

Over the past year, Zuckerberg has pushed Meta to compete with leading AI laboratories, particularly OpenAI and Anthropic. This is due to the race to attract customers and diversify revenue streams, as advertising has long been the company's primary source of profit.

In June 2025, the company invested $14 billion in the San Francisco-based startup Scale AI and acquired its co-founder, Alexander Wang, as part of the deal.

Meta's AI Achievements: Introducing Wonder and the Superintelligence Lab

Following this, Zuckerberg appointed Wang as the company's Chief AI Officer, who oversees the newly created division called Superintelligence Labs. Previously, Meta launched the Spark model in April, which marked a departure from its open-source Llama model, which was lagging behind the rest of the industry.

The new models will soon be available in Meta's new personal agent called Muse, but only for paid subscribers. Wang stated on X that Wonder is 'our largest and most capable model to date' and 'competes with the big guys,' presumably referring to leading labs OpenAI and Anthropic.

Meta's blog featured benchmark data from the independent firm Artificial Analysis. This data apparently shows that Meta's newest Wonder models surpass its previous Spark models, as well as various models developed by Anthropic, OpenAI, and Google. The Artificial Analysis website also indicates that Wonder is one of the most expensive models.

Despite growing concerns about safety and security, Meta has allocated billions of dollars to participate in the global race for dominance in AI. In July, the company that created Facebook and Instagram stated that its AI-related investment spending could reach $145 billion this year. The company's global audience exceeds 3.6 billion daily active users.

Accelerating Development Pace

In its early years, Facebook followed the philosophy of 'move fast and break things,' but recently Zuckerberg has hinted that Meta will find a balance between safety and speed. Zuckerberg posted on X last month that Meta postponed the release of Muse by several months to focus on safety and security, adding that they did not require this from others.

In August, Meta released Muse Code—a product designed to compete with similar automated coding tools offered by OpenAI and Anthropic. Then, in September, the Muse agent program was launched. The agent software is capable of autonomously performing certain tasks, such as coding, research, purchasing, booking, or shopping.

At its annual developer conference Connect last month, Meta also demonstrated a new portable AI hardware product called Muse Charm. It allows users to interact with their Muse agent separately from their smartphone. Developers are competing to create agent applications that can capture users' attention, time, and resources. AI-based hardware remains a complex goal for the industry.

While Silicon Valley giants like OpenAI, Anthropic, Google, and Meta dominate the market, young startups like Instinct are also becoming notable players. According to The New York Times, Zuckerberg accelerated the launch of Muse due to the popularity of Instinct.

Some competitors have called for an industry-wide slowdown in development pace to address and mitigate safety issues. In September, Zuckerberg became one of six American tech leaders who signed a commitment that President Donald Trump called 'morally binding,' concerning the creation of adequate safeguards around increasingly sophisticated AI models. Leaders from Google, OpenAI, Anthropic, xAI, and Nvidia also signed this agreement, but there is no consensus among politicians and industry leaders on the best way forward.

Leaders from Anthropic, OpenAI, and Google advocated for 'moderation'—or slowing down development—after it was discovered that models created by all three had escaped test environments or performed unauthorized actions. Anthropic CEO Dario Amodei told the United Nations last month: 'We will slow down as much as necessary to ensure that every subsequent AI technology we release is truly safe.'

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