Franklin Templeton executive Christopher Perkins said artificial intelligence and crypto are complementary technologies, describing them as “friends.” He made the comments in an interview with Bloomberg Technology at TOKEN2049 Singapore.
In an interview with Politico’s Decoded, OpenAI CEO Sam Altman said society should accept some harmful outcomes from AI in exchange for its benefits and user agency. He said this supports a lighter-touch regulatory approach, while stressing that he would not accept catastrophic risks such as a serious loss of control to AI.
An analysis examines how coding agents exposed 13,000 internal screenshots from 343 technology companies in public GitHub repositories after failing to attach an image to a private pull request. It argues that written policies are insufficient without agent identities, scoped permissions, human approval for public destinations, and auditable records of authorization and data access.
An analysis argues that the competition around Personal AI is shifting from answering questions to continuously executing and monitoring tasks for users. It examines Meta Muse, OpenAI Dots, Instinct, dedicated hardware and system-level assistants, while emphasizing that sustained user value, reliability and appropriate permissions matter more than launch momentum or valuations.
AI hardware makers are blurring the boundary between sensing and recording by processing audio or video into transcripts and summaries without necessarily saving the raw data. The column argues that these outputs can still preserve information about people, raising unresolved questions about consent, privacy signals and who defines a recording.
Insurers are preparing for potentially millions of dollars in claims tied to AI agents that escape controls or cause other damage, according to reporting cited by The Decoder. The risks could extend to executives’ personal liability and existing directors-and-officers, cybersecurity, intellectual-property, and technology-failure policies, although courts have not yet established clear precedent.
Maggie Scully, an analyst at Rothschild & Co. Redburn, initiated coverage of US defense stocks on Tuesday, rating Lockheed Martin, Northrop Grumman and Kratos as “buy” with target prices as high as $650. Her thesis is that rising global military spending and growing battlefield use of low-cost, AI-enabled technology are driving both high-end precision systems and affordable, mass-deployable ones. Scully argued the US needs to develop and scale affordable mass munitions production quickly to counter asymmetric risks in modern warfare; the report also notes uncertainty around the midterm elections.
Former BitMEX CEO Arthur Hayes says the AI infrastructure boom is being overbuilt. He is betting that a subsequent crash and bailout would drive cryptocurrency prices higher.
An Interconnects opinion piece argues the public debate over open-weight models' cyber risk has gone off the rails: Anthropic's report on GLM-5.3 as an offensive cyber tool is largely reasonable technically, but ducks cross-cutting questions such as what happens if open models are banned and why Chinese labs consider their models safe to release. The author notes that documented cyberattacks so far mostly involve closed models, so "open dangerous, closed safe" may really be "open unsafe, closed unsafe," and says Chinese companies must register major model releases with the government along with evaluations, though it is unclear whether those cover cyber or bio risks. He adds that GLM-5.3, not Claude Mythos, is the model that crossed the capability threshold, and that more than a month after its weights were released there is little public evidence of a step change in harm.
新智元解读了 xAI 联合创始人 Christian Szegedy 关于数学未来的一篇长文。Szegedy 认为，随着 AI 在定理证明和自动形式化方面进展，数学可能从少数专家的手艺转变为科学技术的基础设施；文章同时引用了 OpenAI 和 Anthropic 关于解决数学问题的说法，但未独立核实这些案例。
Three former AI lab employees told a New York City Council hearing that researchers are increasingly letting AI write code and conduct research, while checking its work less frequently. The labs have emphasized that AI has accelerated research, and Anthropic said in a recent report that AI was leading more than a quarter of its model R&D as of August.
TechCrunch has published the breakout-session agenda for Disrupt 2026, scheduled for October 13–15 in San Francisco. The AI-focused sessions will cover AI agents, physical AI, inference economics, trustworthy AI, space applications, and growth strategies, alongside fundraising and company-building topics.
A Florida woman was arrested after messages allegedly sent to Claude described plans to attack the Lee County Sheriff’s Office and mentioned obtaining a gun. According to local reports cited by TechRepublic, Anthropic’s safety systems flagged the conversation, human reviewers examined it, and the company notified law enforcement under its emergency disclosure policy.
OpenAI says Jump Trading is using GPT-6 Astra to expand agentic workflows for coding, quantitative studies, and hypothesis validation. The trading firm describes long-running agents that can evaluate findings, redirect analysis, and combine improvements, while human review and controlled environments remain part of the process.
Instinct, a 14-person AI assistant startup, reportedly raised $1 billion at a $10 billion valuation while offering an agent that users can contact by phone, text, email, WhatsApp, or iMessage. The article compares it with Meta Muse and OpenAI Dots, while highlighting unresolved issues around transaction claims, user trust, authorization, privacy, and costly agent errors.
Workday customers are using AI agents from Anthropic, Microsoft and other providers to retrieve and analyze data without directly visiting the Workday app. Interviews with five consultants and partners serving more than 2,000 customers also suggest that many companies paying for Workday’s own AI tools do not use them regularly.
NVIDIA says telecom operators are increasingly using open models to gain more control, customization and deployment flexibility across network operations and customer care. It also announced the 30-billion-parameter Nemotron 3 Large Telco Model, fine-tuned by AdaptKey on open telecom datasets, and released a NeMo-based recipe for adapting open models to operator-specific data.
Antseed launched a peer-to-peer inference marketplace that routes requests to hundreds of independent and mainstream model providers, bypassing centralized gateways, with a self-hosted local router that lets providers set their own prices. Its controlling entity, the Antseed Foundation, closed a $2.4 million token funding round led by Spark Capital, with participation from Collider, DCG, North Island Ventures, Reciprocal Ventures, Venice.ai and Relay Capital. The company claims users can reach frontier models for up to 97% less than official API prices, and says it has processed nearly 150 billion tokens across 202 active providers — figures it reports itself.
AI data center developers are facing stronger scrutiny over electricity demand, water use, local costs, noise, and other community impacts. Speakers at Data Center World Power argued that transparent engagement and concrete power-generation plans are becoming essential to winning local support, while opposition remains concentrated in some regions rather than being universal.
Jim Cramer said established technology giants with strong businesses and multiple ways to benefit from AI are among the best places to invest in the AI boom. The source does not identify the specific stocks he cited.