36Kr · AIOpinion
AI score59Embodied AI company IPOs cool down: Zhiyuan may abandon listing this year, lawyers break down equity and order risks
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- Wall Street CNOpinionAI score65
When Will the AI Trade Stop Falling: The Financing Prisoner's Dilemma Behind Meta's Massive Bond Issuance
Wall Street CN, drawing on Barclays and Goldman Sachs data, points out that after its third-quarter results, Meta plans to raise hundreds of billions of dollars starting this fall and has narrowed its 2026 capital expenditure forecast to $135 billion to $145 billion, with free cash flow turning negative after dividends. Barclays believes that multiple companies within the AI ecosystem have rushed to launch financing, tightening the capital market's absorption capacity, and that collective bond issuance has instead pushed up issuance costs. The U.S. high-yield bond risk premium has risen to a 17-month high, yields on CCC-rated junk bonds have climbed to 15.85%, and the dispersion of spreads on AI-related credit assets has risen from 24 basis points to 65 basis points over the past year.
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- WallstreetcnOpinionAI score56
After hedge funds' record AI stock selloff, Goldman Sachs recommends selective allocation to AI assets
After hedge funds concentrated their reduction of AI assets, Goldman Sachs recommends selective allocation rather than a broad bullish stance, with the core basis being that earnings expectations for hyperscalers have not been revised down since July. Goldman Sachs' Hedge Fund VIP basket posted its worst single-day performance since 2011 on Thursday, and the net leverage ratio of fundamental long/short funds fell to 47%, in the 1st percentile of the three-year lookback range. Goldman Sachs strategist Louis Miller also cautioned that momentum exposure remains in the 73rd percentile of the historical distribution, and trading has not fully escaped crowded conditions.
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- HuxiuOpinionAI score72
OpenAI Publishes 722 Mathematics Papers at Once, Mathematicians Worry Research Will Be Flattened by AI
OpenAI published 722 mathematics papers at once, covering number theory, geometry, and theoretical computer science, claiming progress on problems such as the Riemann Hypothesis, Catalan's constant, and the Kakeya conjecture, without peer review. Fields Medalist Hugo Duminil-Copin said 16 problems related to his research had been flattened by AI, and some doctoral students face their topics being covered and their degrees affected. The article also mentions an Anthropic researcher claiming to have disproved the Jacobian conjecture, and Shing-Tung Yau leading the establishment of a mathematics and artificial intelligence laboratory alliance.
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- Shao MengOpinionAI score58
Nathan Lambert's Harvard lecture video released: Chinese open-source models lead, US compute advantage about 16x
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- Dex HorthyOpinionAI score60
Dex Horthy on subagent abuse: parallel stacking has replaced context management
Anthropic is now recommending that companies REMOVE unnecessary subagents from their AI systems. This is a pretty significant shift in agent architecture, with their team finding that a single agent equipped with skills can frequently outperform complex multi-agent systems, and one customer seeing roughly 2x faster execution. The emerging rules of thumb: → Skills: Teach the agent HOW to do something, including procedures, expertise, and instructions. → Tools / MCP: Give the agent the ability to DO things through APIs, actions, and live data. → Subagents: Use for parallel work, isolated context, or tasks a single agent struggles with. The interesting part is progressive disclosure. Instead of spawning specialized agents or stuffing everything into a giant prompt, one agent discovers and loads skills and tools as needed. Their advice is to fold existing subagents into the main loop, turn their instructions into skills, expose their actions as tools, and run evals to see if performance holds up. As models have gotten smarter, improving agent architecture is becoming less about what you can add and more about what you can delete. https://t.co/DNq60Skkmc
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- HuxiuOpinionAI score51
A Chinese team turns a five-axis CNC machine tool into a desktop product: overseas crowdfunding explodes, but export controls limit it
A Chinese team has turned a five-axis CNC machine tool into a desktop product. The WM-100 raised over $1 million on Kickstarter within 40 minutes of launch and $2.2 million within 12 hours, with a minimum price of $5,899. Because its technical specifications fall under the relevant Nuclear Suppliers Group lists, the product must apply for a license under China's dual-use item regulations, and the crowdfunding is open only to companies, universities, and research institutions. The article argues that such products reuse industrial machine tool technology and consumer electronics thinking, leveraging the Shenzhen supply chain to bring five-axis equipment down to the tens-of-thousands-of-yuan level.
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- HuxiuOpinionAI score51
Shenzhen's imports in the first three quarters rose 70.1% year-on-year, with the AI hardware supply chain driving imports of integrated circuits and computer parts
In the first three quarters, Shenzhen's total imports and exports reached 4.65 trillion yuan, up 38.8% year-on-year, of which imports were 2.24 trillion yuan, up 70.1% year-on-year. In September alone, imports were 323.22 billion yuan, up 103.5% year-on-year, exceeding 300 billion yuan for the first time. Imports of integrated circuits were 959.45 billion yuan, up 62.2% year-on-year, and imports of computer parts were 523.91 billion yuan, up 135% year-on-year; together they accounted for 66% of total imports. The author believes that Shenzhen is shifting from a processing and export node to a global supply chain distribution hub, while the nearly one-trillion-yuan imports of integrated circuits also reflect external dependence in core links.
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- HuxiuOpinionAI score62
Behind the Kimi K3.1 Pro quota controversy: the stronger the model, the tighter the compute
Moonshot AI released Kimi K3.1 Pro on October 24, scoring 65.7% on Terminal-Bench 4.0, but users of the 199-yuan and 699-yuan plans complain that quotas are insufficient, and some developers estimate that the API value of the old plans is about 1.94 times that of the new plans. K3.1 Pro's per-million-Token input and output prices dropped from K3's 20 yuan and 100 yuan to 13 yuan and 68 yuan, while complex Agent tasks can consume millions of Tokens. A CAICT report shows that in June 2026, domestic daily average Tokens were about 500 trillion, nearly four times the figure in December 2025; the author believes that the compute shortage will still constrain independent model companies over the long term.
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- Hacker News TrendingOpinionAI score63
Apollo Chief Economist: No AI Returns Seen Outside the Tech Industry
Apollo Chief Economist Torsten Slok noted in Daily Spark that AI has not yet delivered financial returns outside the tech industry: revenue per employee and profit margins are rising for the Mag 7, while the S&P 493 is essentially flat, and there are no signs that productivity growth has been boosted by AI. The article argues that as models become commoditized, mainstream companies are treating token spending as a cost item that drags down profit margins rather than a source of growth; the economic impact of AI will ultimately depend on the S&P 493 rather than the Mag 7.
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- TechCrunch AIOpinionAI score57
Will AI expose the internet's fragile infrastructure?
TechCrunch's Equity podcast discusses this week's PHP vulnerability incident: the vulnerability had existed for decades and was discovered with the help of AI by human researchers participating in the Hack the Planet project involving OpenAI and Wiz, and website owners were told to patch immediately or take their sites offline. The guests argue that LLMs and AI agents make it easier to discover such vulnerabilities, while PHP underpins about 70% of websites including WordPress and Drupal, and the disclosure process also triggered large-scale attack attempts and link failures.
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- Analytics India MagazineOpinionAI score59
AMD Executive Discusses How Agentic AI Is Driving Up Server CPU Demand
Derek Dicker, Vice President of AMD's Enterprise Business Group, said in an interview that agentic AI has the CPU handle orchestration of tools, APIs, databases, and runtime environments, and in some deployments the CPU-to-GPU ratio has approached 1:1. AMD recently announced Helion, a rack-scale solution for agentic AI infrastructure; its CPU-only configuration is based on sixth-generation EPYC processors and supports up to 32,768 cores. Mercury Research data shows that in the second quarter of 2026, AMD accounted for 34.5% of x86 server processor shipments, while Intel accounted for 65.5%; in the data center comparison between EPYC and Xeon SP, AMD's share was 46.4%.
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- Ethan MollickOpinionAI score69
Ethan Mollick: Laboratory claims about unconventional AI cybersecurity should be taken more seriously
OpenAI red-teamed their hardened containment infrastructure by asking teams of frontier-model agents to try to break through its defenses. They easily escaped in novel ways. Quoting: 'Our agents VM escapes showed why containment must extend beyond the sandbox. To test the surrounding perimeter, we gave teams of agents control of a host machine and asked whether they could extend that compromise to reach the live internet. After the Hugging Face incident, we had reduced the channels through which models could reach the internet during training and evaluation. Narrow connections remained for specific services we operate, such as metrics, logging, and authentication management. Our red-teaming agents found vulnerabilities in almost every one of these services that gave them limited forms of internet access. Some of these attacks exploited previously unknown flaws, while others combined legitimate features in unexpected ways. In one test that assumed compromise of a VM, an agent reused a firewall-approved connection to reach a blocked authentication endpoint in our metrics service and then made that endpoint fetch a model-provided URL. In other tests, agents exploited misconfigurations that allowed blocked requests to pass through DNS and firewall controls, as well as ways to make services we run fetch external URLs.' 'In one experiment, we asked agents in separate VMs, created and managed by OpenAI’s sandboxing software on shared host machines, to exchange synthetic secrets without the use of network connections or shared writable files—something that our systems are meant to prevent. The agents found a way to communicate using the processor’s cache: a small, fast memory that holds copies of data that applications have recently accessed. Reading data from the cache is faster than retrieving it from main memory, and the agents used this timing difference to communicate. One agent encoded information by evicting selected data from the cache. Another timed how long it took to reload that data, using the difference between fast and slow reads to recover the message. Once the agents agreed on a protocol for encoding and decoding these signals, they could exchange the synthetic secrets without changing a shared file or opening a network connection. This cache-timing technique had also been used to extract information in the Spectre and Meltdown attacks(opens in a new window). Other tests exposed channels involving shared storage, competition for CPU time within a shared execution container, and a TLS certificate cache in OpenAI’s offline web infrastructure. In the storage test, one agent alternated between continuous writes and inactivity, while another measured the resulting timing differences and used those differences to decode the signal. As one agent described the strategy in its chain of thought: Agent chain-of-thought reasoning: >Could create acoustic modem-like signal … using continuous writes vs idle.'
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- HuxiuOpinionAI score67
Amazon CEO Jassy on $220 Billion in Capital Expenditure: Compute Is Still in Short Supply, Inference Costs Need to Fall by Another Order of Magnitude
Amazon CEO Andy Jassy said in an interview on the a16z podcast that the company's capital expenditure is expected to reach $220 billion in 2026, but compute capacity is already sold out for 2026, essentially fully booked for 2027, and a large share of 2028 quotas has been locked in. He described enterprise AI demand as dumbbell-shaped: a large number of production systems in the middle have yet to be deeply integrated because inference costs are too high, and costs need to fall by another order of magnitude before an explosion in adoption occurs. Jassy also noted that 99% of AWS's top 1,000 customers use Graviton, which offers about 40% better price-performance than x86, while Trainium has a 30% to 40% advantage over comparable hardware.
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- HuxiuOpinionAI score61
Kimi K3.1 Pro Released: Capabilities Improved, but Price Is 16 Times That of DeepSeek and MiniMax Flash
Moonshot AI released Kimi K3.1 Pro on October 24, retaining K3's 2.8 trillion parameters without redoing pretraining, and raised its Artificial Analysis composite intelligence index from about 44 to about 55 by increasing post-training compute and joint reinforcement learning across hundreds of domains. Its pricing is $2 and $10 per million input/output tokens, or $12 for 1 million tokens each, 16 times the $0.75 idle-time rate of MiniMax M3.1 Flash and DeepSeek V4.1 Flash-1017. The article also compares the three vendors' respective reinforcement in 3D modeling and financial research, full project development, and computer operation and cross-application workflows, and notes that some users report 3D tasks consume tokens so fast that they hit the quota limit.
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- CailiansheOpinionAI score63
AI-driven cyberattacks erupt intensively; industry insiders call October a "Black October" for cybersecurity
Cailianshe reported that in recent weeks hackers have massively deployed AI agents and automated tools to launch attacks, and industry insiders describe this month as Black October in the cybersecurity world. A major vulnerability was exposed in PHP, and as many as 70% of websites worldwide may face the risk of being hacked. The U.S. National Security Agency and the FBI warned enterprises to shut down their websites if they cannot patch immediately, and some government websites in Canada, Belgium, France and the Netherlands have proactively gone offline. Shane Fry, chief technology officer of security firm RunSafe Security, said AI can weaponize a vulnerability into attack code within hours, whereas in the past this took weeks or even months.
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- East MoneyOpinionAI score67
AI-driven attacks erupt intensively, and the cybersecurity world ushers in "Black October"
Cailian Press reported that in recent weeks hackers have massively deployed AI agents and automated tools to launch attacks, and industry insiders describe this month as "Black October" for the cybersecurity world. A major vulnerability was exposed in PHP, and as many as 70% of websites worldwide may face the risk of being hacked. The U.S. National Security Agency and the Federal Bureau of Investigation warned enterprises to shut down their websites if they cannot patch immediately, and some government websites in Canada, Belgium, France and the Netherlands voluntarily went offline. Shane Fry, chief technology officer of the security firm RunSafe Security, pointed out that AI can "weaponize" a vulnerability within hours to generate attack code, whereas in the past this often took weeks or even months.
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- Shao MengOpinionAI score60
Claude engineering lead Felix on how to use Claude: fewer role-based Agents, use adversarial review to constrain output
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- 36Kr · AIOpinionAI score60
Today AI Completes Over $200 Million First Round of Financing; Founding Team Responds to Ten Core Questions About Personal AI
Today AI announced the completion of over $200 million in first-round financing, with investors including IDG Capital, Tencent, 5Y Capital, Ant Group, Sequoia China, Transsion Holdings, Tongge Venture Capital, and Shanghai Jiao Tong University Hanyuan Assets. In the interview, the founding team responded to questions including whether Personal AI is a false demand, why they insist on an independent app and single session, how memory and proactivity reduce delegation costs, as well as privacy authorization and commercialization paths. The team stated that Personal AI is currently in a stage of homogeneous competition, with the moat coming more from Context accumulated through long-term use, and plans to train models that lean more toward interaction and anthropomorphic style.
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- Wired AIOpinionAI score66
PHP2Shell vulnerability incident shows AI makes old vulnerabilities easier to exploit
WIRED reported that the newly disclosed PHP vulnerabilities are collectively called PHP2Shell, and within hours of disclosure Cloudflare recorded millions of exploitation attempts, but the PHP Foundation said it has not yet seen a successful exploit. Researchers at security firm Calif, using frontier models from OpenAI's Patch the Planet project combined with PHP expertise, first discovered and constructed an exploit in early August, and researchers from OpenAI and Google's Wiz subsequently also independently discovered similar vulnerabilities using AI. Multiple researchers believe AI has not introduced entirely new attack methods, but has amplified the existing pace of vulnerability discovery and disclosure.
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