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first_img Multiple tactile sensor companies are intensively raising funds, and Pacini has initiated its IPO counseling

In 2025, there were approximately 20 financing rounds in the domestic tactile sensor sector, with a total disclosed amount nearing 1.8 billion yuan. According to data from the Financial Association, in the first seven months of 2026, there were 15 financing rounds completed in the humanoid robot sensor field, totaling 3.1 billion yuan, with July alone accounting for 1.56 billion yuan. Related estimates indicate that the global tactile sensor market size will be around 6 billion yuan in 2026 and approximately 29 billion yuan in 2030.The tactile sensor company, PaxiNi, was founded by Xu Jincheng and Nie Xiangru in June 2021 in Shenzhen, with the Hall array sensor PX-6AX GEN3 starting at a price of 199 yuan. The company completed over 1 billion yuan in Series B financing in March, with a valuation exceeding 10 billion yuan, followed by 1 billion yuan in strategic financing in August and several hundred million yuan in B++ financing in September, accumulating over 4 billion yuan in total financing, with BYD as the largest external shareholder. On September 20, PaxiNi completed its counseling filing with the Beijing Securities Regulatory Bureau, with Guotai Junan as the counseling institution.The tactile perception chip company, Tashan Technology, was founded by Ma Yang, Sun Tengchen, and Yang Wuqiang in December 2017, with revenue exceeding 100 million yuan in 2024, and was listed by NVIDIA as the world's first tactile simulation partner for Isaac Sim. Qianjue Robotics was founded by Ma Daolin in May 2024, with Hillhouse Capital having led the angel round, and in September of this year, it completed two rounds of strategic financing totaling several hundred million yuan. Companies such as Daimeng, Weitai, Xiangmuguo, Yimu Technology, and Lingxin Qiaoshou also secured new financing or advanced higher valuation financing in 2026.

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.

Benson Sun: This round of Bitcoin may show a slow bull trend, gradually reaching new highs

Cryptocurrency KOL and former FTX community partner Benson Sun stated that he expects the current Bitcoin market to show a gradual new high slow bull trend, rather than forming a clear top after a rapid short-term rise like in 2013 and 2017. Before the true cycle top arrives, the market may experience multiple local top signals. He believes that after 2021, the main buyers of BTC have gradually shifted from retail investors to institutions such as publicly listed companies, spot ETFs, and corporate treasuries.Since institutions mainly buy spot, some funds will also use Delta Neutral strategies for arbitrage, and traditional indicators such as funding rates and MVRV Z-Score may not rise to extreme levels again at the cycle top. Recently, the cycle top is more likely to manifest as institutional funds losing momentum rather than retail sentiment becoming overly heated. The Institutional Liquidity Index (ILI) mainly references overall dollar liquidity, the mNAV of Strategy, and the net flow of Bitcoin ETFs to determine whether institutional funds follow up when BTC reaches new highs. When BTC sets a new rolling 30-day high while ILI does not rise simultaneously, it constitutes a yellow divergence; when BTC breaks historical highs while ILI diverges and is below 50, it constitutes a red divergence.Benson Sun indicated that he would use the frequency of yellow divergences as a reference for judging the cycle process: each occurrence would lead to a proper reduction in altcoin positions and leverage; as the market enters the later stages, he would gradually increase the proportion of BTC and ultimately retain only spot. If a red divergence occurs, he would stop participating further.

first_img Bittensor co-founders release decentralized roadmap, aiming to complete it within a year and a half

Bittensor co-founder const posted on the X platform, detailing the current state of decentralization of the project, future roadmap, and goals. Bittensor has not yet achieved decentralization at the economic incentive layer, which is still led by the core team, including const himself, two engineers, and a core group of contributors. The project has been live for over 5 years, with no pre-mining, and has 128 subnet teams and over 20 core validator teams, achieving decentralization at the ownership distribution level. The team chose to rapidly iterate at the cost of "maintaining centralization" rather than slowly advancing "democratic" decision-making.Regarding future update plans, Bittensor will promote validators to re-enter the competitive mechanism while opening liquidity pools for two-way investment to symmetrize the market and prevent on-chain signals from being manipulated. Additionally, a belief mechanism will be introduced to grant voting rights to Alpha token holders. In the coming weeks, updates will also be made to TaoFlow and its derivatives, further fine-tuning the issuance distribution algorithm to optimize the distribution method of inflation. Const expects to complete the construction of core mechanisms within the next year and a half, at which point the three pillars of incentive alignment, value optimization, and true ownership will operate in synergy, ultimately achieving complete decentralization by abandoning centralized control.

Sensor Tower 2026 AI Report: ChatGPT's market share falls below 50% for the first time, industry accelerates shift towards commercial monetization

According to the latest "2026 Artificial Intelligence Status Report" released by Sensor Tower, as users migrate between different AI assistants, ChatGPT's global market share fell below 50% for the first time at the end of May this year, dropping to 46.4%. Nevertheless, ChatGPT remains the global leader with over 1.1 billion monthly active users (MAU); Google Gemini and Claude under Anthropic follow closely, occupying 27.7% (662 million MAU) and 10.3% (245 million MAU) of the market share, respectively.The report points out that as the growth rates of downloads and spending slow down, the AI industry is shifting from pure user expansion to commercial monetization. It is expected that in the first half of 2026, global AI app downloads will approach 2.3 billion, and total user spending will exceed $4.2 billion. In terms of paid subscriptions, Claude stands out with a leading industry conversion rate of 13%.In addition, the commercialization paths of AI platforms are becoming increasingly diverse. Since February of this year, ChatGPT has been testing its advertising business, and as of May, about 17% of daily active users have been shown ads, primarily focused on software and shopping. At the same time, the role of AI assistants in e-commerce guidance is becoming more prominent, profoundly influencing consumer purchasing behavior and the traffic distribution of major retail platforms.
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