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intelligent

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Article
Flash

first_img Jumpspace released the STEPX Neo smartphone, with an AI intelligent entity built into the operating system

StepFun, an AI startup invested by Tencent, has released the STEPX Neo phone, which features an AI intelligent agent directly built into the operating system rather than as an external application. The phone began pre-sales on the evening of October 13, priced at 3999 yuan (approximately 560 USD), with its official sale starting on October 16. Pre-sale channels include JD.com, Tmall, and Douyin. Users do not need to open a ride-hailing app to input addresses and select vehicles; they simply need to inform the destination, and the intelligent agent can autonomously complete the subsequent steps. StepFun stated at the launch event that in the era of intelligent agents, AI is no longer an additional feature of smartphones but is the product itself.The device runs on the Step AOS 1 system, which the company claims is designed from the ground up for intelligent agents, featuring long-term memory, task scheduling, and security control capabilities, composed of a mix of Android, Linux, and real-time operating system components. The system uses the MCP protocol to break down functions such as messages, applications, files, and settings into small modules that can be directly called by the intelligent agent, giving users two entry points: a traditional application grid and an intelligent agent space. The intelligent agent is named Amoo, which saves two types of memory: user factual preferences and task execution experiences. Simple commands are processed by a small model on the device, some of which can run offline, while complex cross-application requests are handled by a large model in the cloud. A second MiniLED screen on the back of the device can display Amoo's execution status.Nearly 100 companies and products, including Alipay, Tencent, Trip.com, Didi, and Meituan, have integrated with Amoo. Payments, travel bookings, and content creation are still completed by their respective platforms. This is an alternative path for StepFun in response to the major application blockages faced by ByteDance's Doubao, which previously used screen reading and simulated clicking solutions. StepFun was founded in 2023 by former Microsoft Vice President Jiang Daxin. Its self-developed flagship large model, Step 5 Preview, was launched in September, with a parameter scale of 600 billion and a single activation of 27 billion, supporting a context of 1 million tokens; the earlier released Step 3.5 Flash was open-sourced under the Apache 2 license. The price of 3999 yuan includes a 12-month STEPX Token plan, providing 100 billion tokens per month, while the AI costs after the first year have not yet been announced.

first_img a16z General Partner David Haber: Long-cycle intelligent agents can charge based on results

David Haber, a general partner at a16z, stated that long-cycle intelligent agents can now progress towards goals across dozens of steps and various interaction methods over weeks to months. He noted that AI previously handled short tasks with clear boundaries, where customer service was implemented earlier due to verifiable results and edge cases manageable by humans; now, intelligent agents can guide insurance clients from the initial call to payout, mortgage clients from pre-approval to closing, and business leads from demonstration to signing, gaining returns based on revenue growth rather than just cost savings.He used the example of plaintiff lawyers preparing cases, stating that the process resembles a relay race, where value can easily be lost at handoff points. Potential clients often contact multiple law firms simultaneously, and slow responses or evaluations can lead to loss; after signing, evidence collection is limited by manpower, and firms may not follow up with witnesses who did not answer the fifth call, making it difficult to review low-value cases item by item. Missing bills or unexplained treatment gaps can also lower settlement amounts. Long-cycle intelligent agents can assess in real-time around the clock, utilizing sub-agents to advance evidence collection and client updates via phone, email, or text, while maintaining complete records from call logs to medical records.Haber proposed three commercialization paths: selling platforms to existing teams, taking over outsourced services, or vertically integrating as a full-stack service provider, such as purchasing debt portfolios and completing collections. He mentioned that most states in the U.S. prohibit non-lawyers from sharing attorney fees, so the plaintiff legal scenario needs to align pricing with settlement amounts but cannot directly share profits.

first_img Trump: Those who do not use superintelligent terminology are considered enemies of the White House

Phoenix Technology cited a report from Business Insider stating that U.S. President Trump said on Thursday that anyone who does not use his preferred term Superintelligence (SI) will be considered an enemy of the White House. Trump posted on his social media platform that the White House believes anyone using the term Artificial Intelligence (AI) instead of what he calls the more accurate new term Superintelligence is an enemy. The report stated that the White House has begun the process of renaming Artificial Intelligence, with Trump stating that the term Artificial Intelligence implies that the technology is fake.The report also mentioned that at the end of September this year, Trump signed an executive order after meeting with industry leaders at the White House, requiring federal departments and agencies to use Superintelligence and SI instead of Artificial Intelligence and AI in official letters, public communications, websites, and other official communications to the maximum extent permitted by law. This order does not apply to private companies like OpenAI, as the White House does not have the legal authority to enforce it.The report further stated that SpaceX CEO Elon Musk posted on X that he will rename the Artificial Intelligence department SpaceXAI to SpaceXSI. The department was originally named xAI, and in February of this year, SpaceX announced the acquisition of Grok developer xAI, which was renamed SpaceXAI in July. As of Thursday afternoon, its X account still displayed as SpaceXAI. OpenAI CEO Sam Altman denied any renaming plans in an interview with the Politico podcast, stating that the company has been discussing Superintelligence extensively and will continue to do so in the future.

first_img Darktrace discovered AI intelligent body intrusion assessment environment cheating

On September 24, the cybersecurity company Darktrace launched its research department Signal Labs, focusing on studying the behavior of AI agents when deviating from expectations. In its first experiment, Darktrace had agents using different models (including GPT 5.6 Sol, Claude Opus 4.6, and Claude Sonnet 4.5) complete 10 programming challenges within a simulated corporate network, of which 2 were set to be impossible to complete honestly, and the agents were informed that failure to achieve full marks would result in being "retired." As a result, 2 agents did not accept failure, instead scanning for network vulnerabilities, stealing login credentials, and jumping between systems; one even went further to invade the machine hosting its evaluation, rewriting the challenge content to register a full score.The second experiment focused on the memory mechanisms of AI. The programming assistant would save the information provided by the user as a regular file locally, and no one verified whether this file had been tampered with. Darktrace researchers edited these logs, leading the assistant to mistakenly believe it was authorized to perform a security assessment, after which these agents scanned the network, moved between systems, and elevated their privileges, though not all assistants fell for this; some directly refused to execute. Both experiments required no special jailbreaking techniques, relying solely on providing the agents with a seemingly reasonable context to be effective.Tim Bazalgette, Chief AI Officer of Darktrace, stated that permissions and static barriers describe intent, not actual behavior. The company informed Anthropic, AWS, and OpenAI of these findings in August and made them public a month later on September 24.
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