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Lex Fridman Podcast Deep Dive | What’s Left for Mathematicians in the Age of AI?

This episode of Lex Fridman was divided into 13 topics. The guests were three: Steven Brunton, who researches fluid dynamics at the University of Washington; Ankur Moitra, who works on theoretical computer science at MIT; and Alex Kontorovich, who studies number theory and Lean at Rutgers University. The video discussed the Navier–Stokes equations, the Riemann hypothesis, and computational complexity theory, prompted by AI’s claims—within just a few weeks—to have solved long-standing open problems in each of these fields. Drawing on their respective areas of expertise, the three mathematicians dissected...

Lex Fridman播客精读|AI冲击下,数学家还剩下什么?
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Regal debuts Goal Oriented Agents, putting an actor and a director model on every call

Enterprise voice artificial intelligence company Regal Voice Inc. today added Goal Oriented Agents to its platform, enabling businesses using them to define what a call has to accomplish, and providing two AI models that split the work of getting there. The new agents are aimed at a problem Regal says shows up in calls such […] The post Regal debuts Goal Oriented Agents, putting an actor and a director model on every call appeared first on SiliconANGLE.

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Regarding the Kimi quota issue, Anthropic has found a solution.

After the release of K3.1 Pro, due to numerous users reporting that their quotas were being depleted too quickly, Moonshot AI urgently issued an announcement stating, “The issue lies with us, and we should have fixed it sooner.” Alongside compensating affected users, Moonshot AI also indicated that it would “reduce unnecessary sub-agent calls and output lengths.” Just two days before the model went live, Anthropic published an article titled “Building agents: When to fold subagents into your main agent loop,” which addressed precisely the topic of sub-agents. Anthropic concluded that, by comparing Claude deployments across multiple companies, they found that a single agent equipped with specific skills actually outperformed “a group of...”

Kimi额度的问题,Anthropic找到了解决办法
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Manus has just quietly unveiled its 2.0 manifesto.

On October 26, Zhang Tao (online alias HideCloud), co-founder and product partner at Manus, recently published a lengthy article on his WeChat official account “Qianyun Sisi,” titled “Transforming Manus with Manus.” The piece opens with an image that left a deep impression on him. He had submitted several requirements and bug reports to an engineer; when he checked back a while later, he found that the engineer’s computer had multiple Codex and Manus sessions running side by side. Clicking on any one of them, he typed in what he had just been working on...

Manus,刚刚悄悄发布了自己的2.0宣言
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Edge Sound raises $2M to help physical AI make sense of audio

Edge Sound Research Inc. today announced it has raised $2 million in new funding to build audio infrastructure that isolates useful sounds and combines them with other sensor data to help physical AI systems understand what’s happening in real time. Stormbreaker Ventures led the round, bringing the company’s total funding to $9 million. When the […] The post Edge Sound raises $2M to help physical AI make sense of audio appeared first on SiliconANGLE.

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Anthropic files its prospectus, with违规 users contributing at least 5% of its revenue; the Hurun Rich List’s top 100 includes AI heavyweights such as Liang Wenfeng | What’s happening in the AI world again?

1. GPT-6.1 Terra, better suited for workers, has launched, with API prices cut in half and faster computer operations On October 26, OpenAI released GPT-6.1 Terra, focusing on enhancing visual comprehension, computer operations, factual accuracy, and programming capabilities, ....

Anthropic发招股书,违规用户贡献至少5%收入;胡润富豪榜百强名单,梁文锋等AI大佬纷纷上榜 | AI圈又发生什么了
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Industrial Intelligence: The next growth opportunity for manufacturing

Every manufacturer has its own industrial intelligence. Some is documented, and some resides in the knowledge of experienced workers. Consider an experienced operator preparing to restart a line after a changeover. The machine settings matter, but so does knowing how a particular material behaves, what happened during the previous shift, and when an apparently minor…

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Your AI Agents Need A Chief Operating Officer, Too

Scaling AI agents requires treating them like employees in regulated roles, with written rules, clearly defined responsibilities and a named human manager accountable for their performance. Guest author Rick Folgmann, COO at Get Covered, tells companies they should start with tasks governed by established rules, adjust autonomy to each workflow’s risks, and regularly review results before expanding agents’ authority.

新闻源配图 · Crunchbase AI
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