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EElectronic Technology Application13:37

AI score63

Oracle Expands NVIDIA Partnership and Adds Google TPU and Cerebras Chips

Oracle announced that it will deploy NVIDIA's latest-generation Vera Rubin AI servers at scale, reaching several gigawatts, while also bringing in Google TPU and Cerebras chips to advance supply diversification. Oracle will become the first hyperscale cloud provider other than Google to offer Google TPU; the service is expected to launch in 2027 and support large-model training, inference, and agent applications. Oracle also plans to offer SambaNova chips and to switch to its in-house Acceleron networking chips in systems based on NVIDIA chips.

Same story · 9 reports

#Industry news#English text is being prepared.#Google

YYicai12:35

AI score66

Anthropic Acquires One-Person Pharma Company Mithril Medicine, AI Giants Rush into the Pharmaceutical Industry

On October 27, Anthropic disclosed the acquisition of Mithril Medicine, a biotechnology company with only one full-time employee. Its founder used Claude to coordinate 11 external laboratories and, in less than 18 months, advanced a candidate therapy for a rare muscular dystrophy to mouse experiments with preliminary positive results. Anthropic also disclosed collaborations with six institutions including Bristol Myers Squibb and Generate Biomedicines, covering molecular design, experimental optimization, drug manufacturing, and clinical trial planning, and has listed life sciences as an important application market for frontier AI in its prospectus. OpenAI announced on October 20 the acquisition of drug R&D collaboration platform Orchestra Bio, Google's Isomorphic Labs is collaborating with Eli Lilly and Novartis, and Anew Labs, spun off from ByteDance, is said to have completed approximately $290 million in financing.

#Industry news#Agents#English text is being prepared.

EEast Money12:34

AI score60

Anthropic's prospectus discloses mixed use of four types of chips, potentially weakening Nvidia's pricing power

In the S-1 registration statement published on Monday, Anthropic said it has integrated computing resources from multiple strategic partners into a unified, flexibly allocatable pool, and allocates tasks according to each chip's performance advantages in different scenarios. It uses four types of chips to train Claude and provide services: Amazon Trainium, Google TPU, Nvidia GPU, and AMD GPU. Patrick Moorhead of Moor Insights & Strategy believes that customers able to shift tasks across four platforms are in a different position in negotiations, and what may really be affected is Nvidia's pricing power; IDC analyst Ashish Nadkarni said a multi-chip strategy can also reduce sensitivity to fluctuations in Nvidia chip supply.

Same story · 128 reports

#Industry news#English text is being prepared.#OpenAI

IEnglish text is being prepared.12:34

AI score58

Trump says he will formally ban the term AI in relevant documents, renaming it SI Superintelligence

Trump posted on Truth Social on the 27th, saying that he will soon formally prohibit the use of the term artificial intelligence (AI) in all relevant documents and other occasions, on the grounds that the expression is inaccurate, but did not explain how the ban would be implemented. Previously, on September 29, he signed an executive order requiring all executive departments and agencies to replace AI with superintelligence (SI); Reuters reported on October 7 that the U.S. Department of Justice had issued instructions to internal staff to use superintelligence in the vast majority of occasions, including court documents.

Same story · 5 reports

#English text is being prepared.#Industry news#OpenAI

WWallstreetcn12:34

AI score78

Anthropic acquires one-person pharma company Mithril Medicine and partners with six institutions to advance AI drug discovery

Anthropic's life sciences team has established research collaborations with six institutions—Generate Biomedicines, Divergence Labs, BigHat Biosciences, Enveda, The Column Group, and Bristol Myers Squibb—and has acquired Mithril Medicine, a biotech company independently run by Cody Tranbarger, to directly conduct drug R&D. Anthropic says Claude has delivered quantifiable improvements in molecular design, manufacturing document review, regulatory filings, and clinical trial planning; for example, Enveda used Claude to review 1,061 pages of documents, which identified all 11 issues found by humans and flagged 7 additional ones, cutting manual review time from over 25 hours to under 3 hours. Anthropic says it plans to significantly scale up this work, and if the candidate drugs perform well, it expects to be ready to begin human clinical trials as early as the end of 2028.

Same story · 5 reports

#Industry news#Agents#English text is being prepared.

PPhoenix Technology12:34

AI score80

OpenAI Announces Three Results in Mathematics, Computer Science, and Physics; Academia Questions Release Method

OpenAI announced three breakthroughs in the fields of mathematics, computer science, and physics, and said it will adjust the way it releases the results. The mathematics result is said to prove the Kakeya conjecture in all dimensions; the computer science result claims to disprove the exponential time hypothesis; the physics result is not yet public and has been left to an external expert team to decide the release format. Researchers interviewed by The Verge acknowledged the weight of the results but were dissatisfied that OpenAI selected the experts and restricted access; the Advisory Group on Mathematics and Artificial Intelligence (AGMAI) called for the immediate release of the natural-language manuscript and Lean formal proof of the physics result.

Same story · 17 reports

#Industry news#OpenAI#Papers/Research

336Kr · AI12:27

AI score55

Australia's Apate Deploys Over 350,000 AI Agents to Counter Scam Calls

Australian AI startup Apate has deployed over 350,000 AI Agents to play potential scam victims, answer scam calls, click phishing links, and infiltrate scam group chats. According to its data, it has completed over 2.5 million conversations, occupied 17 years of scammers' time, and extracted over 250,000 pieces of intelligence. The company partners with Australian telecom provider TPG to route suspicious calls, with over 280,000 calls routed during the pilot period and scam traffic identification accuracy reportedly reaching 98%; it also partners with institutions such as Commonwealth Bank of Australia to provide scam intelligence. Apate completed an $8.15 million seed round in August this year and plans to open an office in London and expand its US business.

#English text is being prepared.#Agents#Speech

336Kr · AI12:27

AI score74

OpenAI and Anthropic simultaneously claim their internal models overturned the Exponential Time Hypothesis (ETH)

OpenAI and Anthropic announced almost simultaneously that their respective internal models had overturned the Exponential Time Hypothesis (ETH), which has dominated theoretical computer science for 27 years. Anthropic said its Claude research model independently found the core algorithm on October 16 with 14 million output tokens and zero human input, and that Claude is the sole named author of the paper; both companies have publicly released Lean formal proof code, and ETH proposers Russell Impagliazzo and Ramamohan Paturi are jointly conducting a line-by-line review with teams including MIT. The original article also notes that a large number of complexity lower-bound research conclusions that presuppose the truth of ETH need to be re-evaluated.

#Papers/Research#Reasoning#OpenAI

TTMTPost · AGI12:26

AI score72

Two core members of Claude Code depart; Microsoft and Meta simultaneously scale back internal Claude usage

On October 24, Claude Code core engineer Thariq Shihipar and desktop version creator Anthony Morris successively announced their departures, about three weeks before Anthropic's planned IPO. The Information previously reported that Microsoft cut its annual budget for internal use of Anthropic technology by more than one-third, and the number of Meta employees using Claude Code internally dropped from about 60,000 to about 30,000, though Meta still spent more than $105 million on Claude Code in the most recent 28 days. The article also mentions that Anthropic's revenue for the six months ended June 30 was about $16.3 billion, with a net loss of $80.7 billion, and some investors have lowered their fair valuation from about $2 trillion to about $1.5 trillion.

#Industry news#Anthropic#OpenAI

AAnalytics India Magazine12:26

AI score74

Oracle and OpenAI Partner to Bring ChatGPT and Codex into Enterprise Workflows

Oracle and OpenAI have reached a partnership to integrate ChatGPT and Codex into Oracle's enterprise applications, databases, and cloud infrastructure, and on October 27 at Oracle AI World in Las Vegas, they released four products: Oracle AI Workspace, Oracle AI Security Mesh, Oracle App Composer, and Oracle AI SMB Bundle. Employees can access business data in systems such as Fusion Applications and NetSuite through ChatGPT, build applications with Codex, and use OpenAI's cybersecurity models to detect vulnerabilities. Oracle AI SMB Bundle offers small businesses $12,000 per year in Oracle cloud credits, adopting a free-to-start model.

Same story · 6 reports

#Industry news#Agents#English text is being prepared.

VEnglish text is being prepared.12:26

AI score63

NVIDIA Expands Muse Model Partnership with Meta and Plans to Invest $3 Billion

NVIDIA and Meta announced an expansion of their partnership around Muse and the Muse series of AI models, focusing on improving model inference and training performance and optimizing the operational efficiency of AI agents. NVIDIA also plans to invest $3 billion in Meta's equity offering. Meta plans to expand deployment of NVIDIA computing platforms, including the Vera Rubin platform and Vera CPU for next-generation AI agents, as well as Spectrum-X Ethernet and BlueField-4. The two parties will also explore secure agent deployment based on the NVIDIA OpenShell reference architecture and monitor agent behavior through NVIDIA Sentry.

Same story · 18 reports

#Industry news#Agents#English text is being prepared.

IIT Home · Artificial Intelligence11:33

AI score51

Amazon Updates Engineer Work Guidelines: Evaluations Look at Business Value, Not AI Usage

Amazon has updated its working guidelines for software engineers in the AI era, emphasizing that evaluations should look at how much business value engineers create, rather than how much AI they use. Vice President and Distinguished Engineer Turk Tekowitz stated that data such as token consumption, AI tool usage, and code reviews are somewhat related to work outcomes, but one cannot look only at the numbers; treating these metrics as goals may lead to negative results. The new guidelines also require managers to focus on examining the teams ranked in the bottom 10% and top 10% for AI adoption, and allow positions that are temporarily unable to benefit from AI tools to record the specific reasons.

Same story · 4 reports

#Industry news#English text is being prepared.#Agents

CCailian Press11:32

AI score60

OpenAI Plans to Procure TPUs from Google, Nvidia's Computing Dominance Faces New Challenge

According to people familiar with the matter, OpenAI intends to buy AI chips from Alphabet-owned Google; the final terms of the deal are not yet clear, and both OpenAI and Google declined to comment. Google began selling TPUs directly to some customers this year, and Oracle also announced this Tuesday that it will for the first time offer computing power based on Google TPUs on its cloud platform. OpenAI previously announced plans to deploy its in-house chip later this year; its internal chip Jalapeno, developed in cooperation with Broadcom, had senior Google employees involved in its development.

Same story · 6 reports

#Industry news#OpenAI#Google

SSecurities Times11:32

AI score60

NeuroXess Completes 700 Million Yuan Series B Financing to Advance Brain-Computer Interface Mass Production and BCI+AI R&D

NeuroXess announced on October 28 that it has completed a 700 million yuan Series B financing, jointly led by SDIC Jili, Shenzhen Capital Group, and Qinzhi Capital, with participation from SMIC Juyuan, Huangpu Investment, Cornerstone Capital, IDG Capital, and others. The funds will be used for multicenter clinical trials and registration approval of the "Three All" brain-computer interface system, mass production construction of the super factory, next-generation product R&D, and exploration of BCI+AI integration. The company said it has completed 65 clinical trials; its "Three All" system launched a GCP registration clinical trial on July 7, 2026, at Huashan Hospital affiliated with Fudan University, and it plans a 14,300-square-meter super factory to achieve capacity of tens of thousands of units.

Same story · 2 reports

#Industry news#Embodied AI

EElectronic Technology Application10:33

AI score60

OpenAI plans to purchase Google AI chips TPU

Tech media outlet The Information reported that OpenAI is planning to purchase Google's artificial intelligence chips, TPUs, a move that will deepen cooperation between the two competitors in the AI field. OpenAI is one of the largest buyers of Nvidia GPUs, while Google began directly selling TPUs to some customers this year; Reuters reported in June 2025 that OpenAI had begun renting Google AI chips. Details such as the financial terms of this purchase have not been disclosed, and neither Google nor OpenAI commented.

Same story · 6 reports

#Industry news#OpenAI#Google

IEnglish text is being prepared.10:32

AI score69

Report: OpenAI Plans to Formally Adopt Google TPUs, Recruiting Engineers for Model Adaptation

Foreign media outlet The Information reports that OpenAI plans to formally adopt Google Cloud's TPU AI ASIC chips and has been recruiting engineers to lead model adaptation and optimization work on TPUs; people familiar with the matter say it plans to purchase Google TPUs. Google TPUs once played an important role in OpenAI's early startup days, after which its compute shifted to NVIDIA, and it has successively purchased chips from AMD, Cerebras, AWS and others, while also developing its own Jalapeño. OpenAI said in July 2025 that it was conducting early testing of Google TPUs and had no plans for large-scale deployment for the time being.

Same story · 6 reports

#Industry news#English text is being prepared.#Google

WWall Street Insights10:32

AI score72

OpenAI plans to procure Google TPU chips and hire an engineer to lead optimization

According to The Information citing people familiar with the matter, OpenAI plans to procure Google TPU chips and has posted a job listing seeking an engineer to lead the optimization of its most advanced frontier models on TPUs. OpenAI had previously begun using Google TPUs but had said it had no plans to use TPUs specifically; in August this year, Nvidia agreed to provide more than $100 billion in credit support for OpenAI's Ohio data center project, and Jensen Huang said OpenAI has committed to spending about $600 billion by 2030 to use Nvidia servers. On the same day, Google announced that Oracle will become the first major cloud service provider to rent TPUs to customers.

Same story · 6 reports

#Industry news#OpenAI#Google

PPhoenix Technology10:32

AI score58

Fields Medal winner Richard Borcherds cancels scored homework and switches to in-person exams to evaluate students

Richard Borcherds, a professor at the University of California, Berkeley and a Fields Medal winner, announced that he will no longer assign scored homework and will instead evaluate students through in-person exams that prohibit the use of electronic devices, because it is difficult to tell whether homework was generated by AI. He said that average scores on online exams rose significantly, and that grading based on answer correctness would incentivize students to use AI to complete homework and penalize those who solve problems honestly. Berkeley had considered AI detection software but deemed it insufficiently reliable, and ultimately left the authority to set AI use policies to professors, requiring only that the rules be stated in the syllabus.

Same story · 2 reports

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221ic Electronics Network10:31

AI score80

Anthropic's prospectus discloses $131.7 billion in cash reserves and future compute commitments exceeding $500 billion

Anthropic disclosed in the S-1 filing submitted to the U.S. Securities and Exchange Commission that as of June 30 it held $112.4 billion in cash and cash equivalents, plus another $19.3 billion in short-term investments, totaling $131.7 billion—a scale exceeding nearly all non-bank U.S. companies, with only Berkshire Hathaway and Alphabet as exceptions. Based on an IPO fundraising scale that may exceed $100 billion, its cash reserves could rise to more than $230 billion. As of June 30, the company also disclosed approximately $321.4 billion in expected future undiscounted lease obligations and $265.6 billion in expected future fixed or minimum guaranteed commitments, totaling more than $500 billion; compute and infrastructure expenses in the first half of the year were $8.95 billion.

Same story · 128 reports

#Industry news#Anthropic

AAyi AI Notes10:31

AI score75

Axiom says AxiomProver agent swarm completed Lean formalization of the Classification of Finite Simple Groups theorem in 24 days

Axiom announced the completion of a complete Lean auto-formalization of the Classification of Finite Simple Groups theorem; the proof spans about 15,000 pages and was completed by over 100 mathematicians across generations. According to the account, the AxiomProver agent swarm produced about 50 million lines of Lean code in 24 days and fixed logical gaps in the original work.

Quoted postAxiom · @axiommathai

The largest math proof in human history is now computer-verified. Today, Axiom announces a complete Lean auto-formalization of the Classification of Finite Simple Groups, the "periodic table of symmetry." About 15,000 pages, built by over 100 mathematicians across generations. https://t.co/Y1P26abyPQ

Same story · 6 reports

#Papers/Research#Agents#Reasoning