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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.

NEAR co-creation sharing ecological application construction direction and distribution suggestions, covering AI, cross-chain payment, and privacy transactions, among other directions

Illia Polosukhin, co-founder of NEAR, stated that recently the activity of developers within the ecosystem has increased and the development threshold has further lowered, focusing on what kind of applications to build and how to establish distribution channels.In this regard, he proposed a series of potential construction directions, covering AI electronic pets that combine NEAR AI on-chain verifiable reasoning with non-fungible tokens (NFTs), a universal checkout component that supports full-chain intent payments, a decentralized encyclopedia that combines prediction markets with AI-generated content, a privacy off-chain trading (OTC) market based on NEAR Intents and management of anti-liquidation lending and perpetual contracts, a cross-chain activity registration custody tool in the form of a staking deposit, privacy code review agents, enterprise equity structure management tools, Delta neutral strategy management, privacy tracking single transactions based on view keys, end-to-end encrypted medical auxiliary diagnostic systems, privacy voice transcription desktop applications, and AI benchmarking based on private test sets.Regarding product distribution, he suggested combining NEARLegion with community channels like X, achieving multi-chain wallet compatibility through Aurora Intent Connect to lower cross-chain thresholds, and actively expanding across communities and platforms like Product Hunt.
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