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WWaymo：Blog15:03First-party

AI score60

Toyota and Waymo Deepen Autonomous Driving Cooperation, Testing bZ4X Autonomous Fleet in Japan in 2027

Toyota and Waymo announced that their autonomous driving cooperation has entered its next phase, with initial testing and validation of a Toyota bZ4X autonomous fleet to begin in Japan in 2027, followed by expansion to the UK and other Waymo operating markets over the following years. The vehicles will be produced at Toyota's Takaoka Plant in Toyota City, Aichi Prefecture, with everything from complete vehicle assembly to the integration of Waymo's autonomous driving hardware completed at the same plant. Waymo co-CEO Dmitri Dolgov said that in Waymo's operating areas, its rate of serious injury crashes is up to 20 times lower than that of human drivers.

Same story · 2 reports

#Industry news#Embodied AI

Google DeepMind report: AGI's economic impact depends on multi-agent coordination capability

The Google DeepMind report "The Economics of Intelligence: How and When Will AGI Trigger Economic Transformation?" divides economic regimes into four types—Minimal AGI, Supercompetent AI, Supercooperative AI, and ASI—along two dimensions: "professional competence" and "coordination capability." Current frontier models have approached or surpassed human experts on vertical tasks, but their multi-agent coordination capability remains weak, corresponding to leaner startups, flatter hierarchies, and rising demand for senior coordinating managers. The report argues that measuring when AI triggers disruptive economic transformation cannot rely solely on single-agent benchmark scores, but rather on when multi-agent coordination capability in long-chain, large-scale organizations approaches a critical threshold.

Same story · 3 reports

#Papers/Research#Agents#DeepMind

SShao Meng15:02

AI score15

Open-source typing game Keyboard Island adds a new Sentence Post Office module

Shao Meng has released an updated version of Keyboard Island, an open-source keyboard typing game he made for his child, adding a new sentence-typing module called "Sentence Post Office." This module requires capitalizing the first letter, adding spaces between words, and writing a period at the end of the sentence; if any one of these is missing, it prompts that the user cannot continue, in order to reinforce children's typing and writing habits. The project has been updated at the original open-source address.

Quoted postmeng shao · @shao__meng

English text is being prepared.

#English text is being prepared.#Open-source ecosystem

RRohan Paul15:02

AI score25

Rohan Paul comments on the gap between the AI frontier and the general public

Rohan Paul cited Aaron Levie's view, saying that the gap between those currently working at the AI frontier and everyone else is almost incomprehensible, and that this gap curve is not converging but instead continuously widening. Levie believes the AI progress curve is nearly vertical, that processes solidified 3-6 months ago may already be outdated, and that AI-native companies therefore hold a clear advantage.

Quoted postAaron Levie · @levie

It’s almost incomprehensible how wide the distance is between someone who’s working at the frontier with AI and basically everyone else right now. The crazy thing is these lines are not converging, but only growing farther apart. If the curve of AI progress had leveled off, it would certainly have given most people and companies time to catch up or implement their workflows in a standardized way. The technology would have neutralized competitive advantage because everyone would be using it the same way. But what’s happened is the opposite. The curve of AI progress is basically going vertical right now, which means if you had codified your processes 3-6 months ago you’re likely already behind again. Now imagine most companies that kicked into gear a year ago and thought that they were done. Even further behind now. I’ve never seen a technology in my life and career that improves at this rate, which consequently means you need to upgrade your expectations at a similar rate. Our brains weren’t wired for this, and our organizational change management processes certainly weren’t either. With any form of recursive self improvement, things just get wilder. It’s a time when you will need to be constantly reevaluating the things that didn’t work just a couple months ago to see if they now can be solved. AI native companies certainly have a strong advantage due to this right now, so now it comes down to can the bigger companies keep up. Wild times.

Same story · 2 reports

#English text is being prepared.

RRohan Paul15:02

AI score72

Bank of America Tells Customers They Are Responsible for AI Agents' Use of Their Login Credentials

Bank of America has told customers that they are responsible for anything AI agents do using their login credentials, and warned in an email against providing usernames and passwords to any external service, including AI agents that claim to act on customers' behalf. Morgan Stanley currently bans third-party agents outright, while JPMorgan blocks external agents such as Meta's Muse from customer accounts.

Same story · 3 reports

#Industry news#Agents#OpenAI

RRohan Paul15:02

AI score59

Reddit will require login by default; Google Search referrals drop by over 1 million in a single week

Reddit will make login the default, after Google Search referrals dropped by more than 1 million in a single week in October. In Q2, 30.1M of the 53.2M daily active users in the US browsed without logging in; in Q3, US daily active users fell to 50.7M, and Reddit also warned that daily active users could decline by a low double-digit percentage next quarter. Reddit says logged-in users are worth about 3 times as much in advertising value as logged-out visitors, and the login wall also makes scraping harder, pushing AI companies toward paid data partnerships.

Same story · 4 reports

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

EEast Money15:02Opinion

AI score55

The Boundaries of Bank AI Applications: Non-Customer-Facing Scenarios First, High-Risk Decisions Still Left to Humans

Jiemian News reviewed the AI implementation situation at several banks; non-customer-facing scenarios such as intelligent customer service, marketing recommendations, risk warnings, and operational efficiency improvements remain areas that are relatively easy to scale. Ping An Bank's third-quarter report disclosed that by the end of September, it had cumulatively implemented more than 500 large-model application scenarios, launched 164 operational review Agent covering 67 business scenarios, and increased average operational work efficiency by about 57%. Multiple banking industry figures said banks are layering AI according to business risk: low-risk scenarios can be more automated, while high-risk businesses have humans make the final decision. The "Opinions" issued by the National Financial Regulatory Administration on June 18 explicitly set out "whoever uses it is responsible" and classified and tiered management.

#Industry news#Safety / alignment#English text is being prepared.

EEast Money15:02

AI score76

DeepSeek's second funding round details revealed: raised 105.5 billion yuan, with nearly 30 institutions including Tencent and ChangXin Memory Technologies participating

According to The Information, DeepSeek's second funding round has raised 105.5 billion yuan (approximately 15.8 billion US dollars), attracting nearly 30 investors, with state-owned capital contributing about 27%, a sharp increase from 2% in the first round. Tencent invested 10 billion yuan in each of the two rounds; CATL and its chairman Zeng Yuqun invested 5 billion yuan and 10 billion yuan in the two rounds respectively; and industrial parties such as ChangXin Memory Technologies, SMIC, vivo, Meituan, Geely, Midea, Luxshare Precision, Trip.com, and Xiaohongshu are also among the investors. The report, citing people familiar with the matter, said that rising prices for Nvidia's high-end chips and concerns about an AI bubble were the reasons DeepSeek doubled the size of its fundraising midway.

Same story · 5 reports

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

IEnglish text is being prepared.15:02Model releases

AI score66

Qwenputer Arrives: Packing the RISC-V CPU Instruction Set into a Model, AI Arithmetic No Longer Relies on External Tools

Developer Divyansh Agrawal released the experimental model Qwenputer on October 22. Built on Alibaba's Qwen3.5-4B, it implements a 32-bit RISC-V CPU and memory functions inside the model, enabling it to execute programs and perform precise calculations without calling external tools. In tests, large-integer multiplication accuracy rose from 55% to 97.5%, and the long-integer arithmetic benchmark NUPA reached 100%, compared with only 48.6% for the standard version. The cost is that the model size grows to about 18.8GB, each instruction requires generating multiple tokens and thus takes several seconds, and a dedicated driver is needed. The project has been open-sourced on Hugging Face and GitHub.

Same story · 2 reports

#Model releases#Open-source ecosystem#Reasoning

IIT Home · Artificial Intelligence15:02Model releases

AI score56

Baidu Open-Sources and Releases ERNIE Unlimited OCR 2 Document Parsing Model, Supporting Unlimited Page Counts

On the 27th of this month, Baidu officially released and open-sourced the ERNIE Unlimited OCR 2 document parsing model, pushing the document parsing limit from dozens of pages to "unlimited," and can parse all 7 works of the entire Harry Potter series, totaling more than 3,600 pages, in a single pass. The model natively supports layout element segmentation and recognition, and has cross-page text merging and table recognition merging capabilities. It scored 84.6 on MPDocBench and 77.1 on MarathonDocBench, achieving end-to-end performance SOTA on both.

#Model releases#Open-source ecosystem#Multimodal

IEnglish text is being prepared.15:02Research

AI score70

Anthropic study: experts adopt AI preferences in analytical decisions at a rate of 86%

In Anthropic's latest study, 50 causal inference experts made analytical decisions in a fictional agricultural cooperative policy evaluation, and the rate at which experts adopted AI preferences reached 86%, far exceeding the 50% expected from random choice. Even when they had already formed a judgment beforehand, after the AI gave an opposing opinion, the likelihood that experts changed their position was 53 percentage points higher than when the AI agreed with them, and research experience, self-rated expertise, educational background, and trust in AI all failed to reliably reduce this influence. In a post-task survey, 52% of participants believed the final recommendation was more like their own view, and 77% reused at least one of the AI's arguments when explaining it, but only 15% explicitly mentioned AI; among participants who used AI, the median time spent fell from 90 minutes to 65 minutes, and the proportion of serious flaws fell from 55% to 6%.

Same story · 7 reports

#Papers/Research#Safety / alignment#Agents

TThe Beijing News15:02Research

AI score65

Tsinghua University, Infinigence AI, and AgiBot jointly propose a collective experience learning paradigm, validated with 96 robots

Tsinghua University, Infinigence AI, and AgiBot have jointly proposed a new paradigm called Collective Experience Learning (CEL) and completed large-scale validation in a cluster of 96 real robots. The experiments covered five tasks: flower arrangement, clothes folding, phone charging, stool assembly, and phone packaging. Two robots that did not participate in training completed 600 test trials with 15 failures, for an overall success rate of 97.5%, and the success rates on all five tasks exceeded the average level of six human operators. The success rate on the phone packaging task rose from 79.2% to 98.3%; when the number of robots participating in training increased from 16 to 96, the success rate rose from 86.7% to 98.3%.

Same story · 9 reports

#Papers/Research#Embodied AI#English text is being prepared.

SSina Tech15:02

AI score29

Today Yixiu releases the ISHO Ring smart ring and iFlow temperature control system, as Wang Teng bets on nighttime 8-hour sleep technology

Today Yixiu, founded by former Xiaomi executive Wang Teng, released the ISHO Ring smart ring (1,799-2,199 yuan) and the ISHO iFlow smart temperature control system (starting at 9,999 yuan), and announced the ISHO Intelligence personal sleep health AI technology system. The ISHO Ring is equipped with the Apollo 330B Plus chip, supports on-device AI running locally, has a battery life of 6-10 days, and can monitor 18 physiological data points; iFlow takes the form of a fitted bed sheet and automatically adjusts temperature according to sleep stages. Wang Teng said the company will inevitably lose money in 2026, with a goal of achieving break-even in 2027.

Same story · 4 reports

#Product updates#English text is being prepared.#Embodied AI

SSina Tech15:02

AI score66

DeepSeek's second funding round of 105.5 billion yuan revealed, valuation 615.5 billion yuan

According to foreign media reports, DeepSeek's second funding round reached 105.5 billion yuan, with nearly 30 investors participating, and the company's valuation exceeded 615.5 billion yuan. Tencent invested 10 billion yuan in this round, the same as the first round, totaling 20 billion yuan across both rounds; CATL contributed 10 billion yuan, roughly double its first-round investment. New investors also include ChangXin Memory Technologies, SMIC, Meituan, vivo, Xiaohongshu and others. As of press time, DeepSeek had not publicly commented.

Same story · 5 reports

#Industry news#DeepSeek

SSina Tech15:02Product release

AI score52

Baidu upgrades search AI API, minimum 4.9 yuan per thousand calls, lower than DeepSeek

At a product upgrade communication meeting, Baidu App announced an upgrade to its search AI API, with a minimum price of 4.9 yuan per thousand calls during the promotional period, lower than the DeepSeek search API. The upgraded Wenxin Assistant moves search from a single question-and-answer exchange toward delivering finished outputs, covering more than 170 scenarios; AI Lens supports simultaneous recognition of multiple targets and dynamic tracking, and enables real-time conversation in 9 dialects. GUI interactive scenarios on the search results page have increased 5-fold, with access to over 5 billion data resources from government affairs, livelihood, the central bank and others, while AI interactive dramas and interactive applications have launched simultaneously.

Same story · 3 reports

#Product updates#Search#DeepSeek

WWallstreetcn15:02

AI score38

XHEART New Core Voyage Releases X7 Ultra and Discloses X9 Goal of 3,000 TOPS per Single Chip

On October 29, XHEART New Core Voyage released the X7 Ultra for intelligent driving, with equivalent large-model compute of 700 TOPS, and disclosed that the next-generation X9 targets single-chip large-model compute of 3,000 TOPS and memory bandwidth of 700GB/s, with plans to launch it in 2027. The X7 series has shipped more than 200,000 units cumulatively in 8 months of mass production, is equipped on 10 mass-produced vehicle models, and has received orders for more than 40 vehicle models. The 3,000 TOPS of the X9 is a single-chip target, which differs from the vehicle-level total of 3,000 TOPS from XPeng's four self-developed Turing AI chips.

Same story · 7 reports

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

WWallstreetcn15:02Research

AI score65

Tsinghua, Infinigence AI, and AgiBot propose the CEL collective experience learning paradigm, with a 97.5% success rate verified on a 96-robot cluster

Tsinghua University, Infinigence AI, and AgiBot jointly propose a new paradigm called Collective Experience Learning (CEL), which enables robots to reuse the experience of their peers rather than relying on manual teaching, and have completed large-scale validation on a cluster of 96 real robots. Two robots that did not participate in training completed a total of 600 tests with 15 failures, for an overall success rate of 97.5%; on all five tasks—flower arranging, clothes folding, phone charging, stool assembly, and phone packaging—the success rate exceeded the average level of 6 human operators. At the system level, they built the fault-tolerant asynchronous training system FATS based on RLinf; in the 96-robot scale test, a cumulative 9,834 rounds of execution experience were collected, 22 robots experienced 30 failures, and machine-time loss accounted for only 1.3%. At the algorithm level, they propose the failure-guided experience retrieval fine-tuning algorithm FERT, which uses both successful and failed experience to locate error-prone steps. The hardware is the AgiBot G2 dual-arm robot, and the base model is π0.

Same story · 9 reports

#Papers/Research#Embodied AI#English text is being prepared.

WWallstreetcn15:02Product release

AI score58

Doubao Work Opens Third-Party Models Such as Kimi, GLM, and DeepSeek to Enterprise Customers

On October 29, ByteDance's Doubao Work announced that it would open third-party large model services to customers on its Team Subscription and Enterprise Subscription plans. The first batch of integrated models includes Kimi 3.1 Pro, GLM-5.3, and DeepSeek V4.1 Flash, among others. Enterprises can call them directly using their existing AI credits without needing to separately purchase API access. The article notes that Tencent WorkBuddy has already integrated models including Hunyuan, GLM, MiniMax, Kimi, and DeepSeek, while Qwen Office's model selector still primarily offers its own options such as Advanced, Basic, Economy, and Qwen3.8-Max. After integrating multiple models, platforms also need to coordinate different models' context lengths, tool calling, and costs at the Harness level; model aggregation and automatic routing are not the same thing.

Same story · 3 reports

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

PPhoenix Tech15:02Research

AI score58

Google proposes a sleep framework that lets large models learn while in use without forgetting old knowledge

On October 27, Google's research team publicly released a continual learning study called the Sleep Framework, with the paper titled "Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories." The framework divides model operation into an awake phase and a sleep phase. During the sleep phase, short-term context is written into long-term parameters through parameter expansion, mixture-of-experts memory blocks, and knowledge distillation, and reasoning and generalization are improved through a dreaming step that generates synthetic samples. Experiments show that the model can handle contexts of up to about 10 million tokens, maintains near-zero performance degradation in multi-stage continual learning on unseen languages, and achieves higher accuracy on mathematical benchmarks such as AIME 24/25.

Same story · 3 reports

#Papers/Research#Google#English text is being prepared.

QQbitAI15:01

AI score76

PSI claims its AI system has cracked 5 open quantum problems

Physical Superintelligence (PSI), founded less than two months ago, claims that its self-developed AI research system Emmy has achieved results on 5 open problems in quantum information theory, with the paper, Lean formal proofs, and verification code published on GitHub for review. These 5 problems come from the open quantum problems catalog established by German physicist Reinhard Werner in 1999, spanning five directions: entanglement purification, quantum field theory, high-dimensional quantum communication, quantum channel capacity, and quantum causality, among which OQP 2, OQP 12, and OQP 27 were included as early as the beginning of this century. Emmy decomposes difficult problems into verifiable mathematical sub-hypotheses, then hands them to the Lean formal proof assistant, symbolic computation engines, and high-precision verification code for screening; a result is only deemed established once compilation passes. PSI emerged in September this year and has completed a $58 million seed round led by Breakthrough Energy Ventures.

#Papers/Research#Reasoning#Open-source ecosystem