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first_img Hyperliquid CEO: The Wall Street wealth creation model is unsustainable for most participants

The co-founder and CEO of the decentralized perpetual contract trading platform Hyperliquid, Jeff Yan, stated during a fireside chat at the Token2049 conference in Singapore that traditional wealth creation opportunities on Wall Street, such as company stocks, are essentially inaccessible to the investing public before they are listed on exchanges, causing retail investors to miss out on the most significant price increases prior to listing. He noted that certain assets are tradable by only a few people during most of their growth phases, and by the time the public can trade them, the growth has already been captured by a privileged few, making this wealth creation model unsustainable.Yan stated that Hyperliquid's main mission is to expand the accessibility of wealth creation opportunities and encourage more people to participate in the financial system, with income being merely a byproduct. He mentioned that Hyperliquid's success partly stems from its perpetual contracts having no expiration date, which reduces the number of decisions traders need to make and prevents liquidity fragmentation. According to data from DefiLlama, Hyperliquid generated $72 million in revenue over the past 30 days, ranking third among protocols in terms of revenue.Blockchain asset management company Pantera stated in July that perpetual contracts, due to their structural advantages, could become one of the dominant trading tools in the global financial sector, and Hyperliquid has demonstrated the potential of blockchain infrastructure to challenge traditional markets. Jeffrey Sprecher, CEO of the Intercontinental Exchange (ICE), the parent company of the New York Stock Exchange, called on regulators to create a fair competitive environment for the launch of 24/7 on-chain perpetual contracts. In March of this year, the New York Stock Exchange partnered with the tokenization platform Securitize to advance blockchain-based stock trading infrastructure.

first_img Google released the Nano Banana 2.1 image model, with the developer call price being about half of the previous generation

Google released its latest image generation and editing model, Nano Banana 2.1, on October 6, and it has been launched in the Gemini app, AI mode of Google Search, Google Ads, as well as developer tools like Google AI Studio, Flow, and Stitch. This model can generate images from text descriptions and edit existing photos.Google stated that this upgrade focuses on three aspects: visual design, mask-based editing (where only the marked area changes), and subject consistency, meaning that characters or objects retain their original features after multiple edits. In the overall preference test for text-to-image generation, Nano Banana 2.1 scored 1050 ELO points, higher than Nano Banana 2's 990 points and Nano Banana Pro's 935 points. The model can handle up to 14 reference images simultaneously, track 4 characters and 10 objects, and output up to 4K resolution with an aspect ratio of up to 8:1. Developers can also set the thinking time before generation and enable fact-checking based on Google Search and Google Image Search.When called through the Google Developer API, the standard 1K image is priced at $0.0336, about half of Nano Banana 2's $0.067; the 4K image is $0.0756, while the previous generation was $0.151, and bulk tasks can enjoy a 50% discount. The above performance data comes from Google's own testing.

first_img PewDiePie stated that OpenAI banned his account twice, creating an uncensored model Ajax

YouTuber PewDiePie stated in his latest video that his account was banned twice by OpenAI while training the small local AI model Ajax. He mentioned that he originally hoped to distill reasoning tokens from OpenAI's flagship model GPT-5.6 Sol, released on July 9, and find a study that utilized OpenAI's own API to crack encrypted reasoning content. He claimed that he did not actually crack OpenAI but was still banned, and after appealing, his account was restored after some time.After the account was restored, he used Sol again to generate seed data and was subsequently banned for the second time. OpenAI's terms of service prohibit the development of competing models using its outputs. Ajax is a 9 billion parameter model built on Alibaba's open-source model Qwen 3.5, which will run in PewDiePie's free self-hosted AI application Odysseus launched in June, and it is not yet available for download.To prevent Ajax from being censored, he used the open-source tool Heretic to remove the model's built-in refusal mechanism, a technique known as abliteration. He stated that Ajax suffered a bit of brain damage as a result, but it has about a 90% success rate in tasks like organizing the inbox and browsing the web, and he continues to train it using the GRPO method. He mentioned that when choosing which refusal behaviors to remove, he draws the line at harming others or harming himself.

first_img Tavus claims that the Griffin model causes 48% of video call participants to mistakenly believe they are interacting with a real person

AI startup Tavus released a new model called Griffin on October 1, referring to it as the first "human interaction model" that can understand and generate face-to-face conversations, paying attention not only to wording but also to expressions and pauses. Tavus stated that in tests, after a one-minute video call with Griffin-Lite, 26 out of 54 participants (48%) believed the other party was a real person; its previous generation system only convinced 1 out of 41 participants.Participants were told they would have a one-minute video call with another person to discuss things they were looking forward to this year, and only at the end of the call were they asked if they suspected the other party was not a real person. Tavus noted that those who became suspicious typically noticed within 20 seconds. This result comes from Tavus's own research page, where participants were recruited through a channel they call an independent research platform. Community comments on X pointed out that these results have not been independently verified and do not meet standard protocols.In the NVIDIA VideoFDB benchmark, Tavus claimed Griffin-Lite ranked first, with a generation dimension score of 3.83, the next best system scoring 2.8, and human reference scoring 3.92; the perception dimension score was 3.73, with the strongest baseline at 3.44 and human reference at 4.2. Tavus stated that NVIDIA independently conducted this evaluation. Griffin supports full duplex, allowing it to listen, see, and speak simultaneously, with an average audio-video delay of 0.43 seconds on the NVIDIA H100 chip. Tavus completed a $40 million Series B funding round led by CRV in November 2025.

first_img Alibaba ModelScope competes with MoArk for the domestic open-source model platform

According to Rest of World, Alibaba launched the open-source model platform ModelScope in 2022, and OSChina launched MoArk in 2023, providing model hosting, testing, and customization services for Chinese developers behind firewalls. In 2023, Chinese regulators blocked Hugging Face without disclosing specific reasons; reports indicate that the government simultaneously allowed artificial intelligence laboratories to bypass the blockade to share Chinese models globally. ModelScope currently hosts over 170,000 models and stated in March that it has 170,000 models and 250 million users; MoArk hosts about 20,000 commonly used models, both still below Hugging Face, which hosts over 3 million open models.OSChina CEO Xu Yong stated that not everyone can always use a VPN, and China needs to establish an independent artificial intelligence ecosystem that serves Chinese users, claiming that China is developing an independent ecosystem faster than during the internet era. He also mentioned that MoArk has deployed engineering teams to ensure that models can run on different types of Chinese chips, making it their mission to ensure mainstream open models are compatible with Chinese chips. Both platforms offer some services for free, with additional computing power and premium features charged; ModelScope also hosts university hackathons and has opened co-working and event spaces for AI entrepreneurs in Hangzhou.Headquartered in New York, Hugging Face is a major platform for sharing open models and datasets. In September, Nvidia announced its acquisition of the company for $12.9 billion and noted in regulatory filings that regulators might prohibit sharing Chinese models on the site.
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