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  1. Phoenix TechnologyProduct release
    AI score69

    Neuralink Connects Grok to the Brain: ALS Patient Controls AI and Makes a Phone Call With His Thoughts

    Neuralink has announced its latest progress: Kenneth, a patient with ALS, silently thinks "Hey Neuralink" and states a task in his mind, which wakes up the Grok Agent on his computer to autonomously carry out operations. The team conducted a 72-hour development sprint at the participant's home, producing 8 technical prototypes, including neural voice activity detection that requires no manual switch, a system-level brain-computer input method called BCI Keyboard Dictation, and a mobile app called Bloom. Kenneth also connected speech decoded by the brain-computer interface to the iPhone call audio stream, and after seven years, made a phone call to his wife using his thoughts.

    Same story · 3 reports

    #Product updates#Agents#Embodied AI

  2. cnBetaProduct release
    AI score71

    Neuralink Subject Uses Thoughts to Wake Grok Agent and Control Computer

    During a 72-hour hackathon, the Neuralink team developed 8 functional prototypes for P21 subject Kenneth, including the ability to silently think "Hey Neuralink" in his mind and think through a task to trigger the Grok agent to operate the computer autonomously. The team also rewrote the neural voice activity detection system to achieve pure thought-based speech decoding without button presses, and routed the decoded speech into the iPhone call microphone audio stream, enabling this ALS patient to call his wife using only his thoughts. In addition, the dedicated app Bloom supports placing orders by thought in a café, and a system-level brain-computer input method allows text entry in any app.

    Same story · 3 reports

    #Product updates#Agents#Speech

  3. Securities Times
    AI score36

    Xuanjia Technology's B1 and B2 funding rounds landed in quick succession; founder Qin Lin says commercialization in the AI video track is accelerating

    Xuanjia Technology has completed its B1 funding round; about 30 days later, the B2 round was jointly invested by Shenye Capital, Fachuang Capital and Jiangbei New Area Science and Technology Investment Group, bringing cumulative funding to over 200 million yuan, with valuation expected to exceed 2 billion yuan. Founder Qin Lin says competition in AI video has shifted to industrialized mass-production capability, and the production cost of a 120-minute short drama can be compressed from 300,000 to 500,000 yuan to about 5,000 yuan. The company's AI business revenue is growing at about 50% per month, and the platform has over 100,000 online registered users.

    #Industry news#Video

  4. Securities Times
    AI score18

    Sinolink Securities and Tencent Cloud Reach AI Strategic Cooperation, Plan to Establish Joint AI Laboratory

    Sinolink Securities and Tencent Cloud signed a strategic cooperation agreement in Shenzhen. The two parties will carry out AI strategic cooperation and joint case development, and establish a joint AI laboratory to conduct trend analysis around large models, cloud computing, and big data. The two parties will also focus on AI infrastructure, agent development platforms, knowledge bases, and application systems to build a financial-grade AI capability foundation. Sinolink Securities plans to adopt Tencent WorkBuddy.

    Same story · 2 reports

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

  5. Securities Times
    AI score22

    Hainan Computing Power and Tencent Cloud Reach Strategic Cooperation to Build an Integrated "AI + Computing Power" Foundation for the Free Trade Port

    Hainan Provincial Computing Power Technology Co., Ltd. and Tencent Cloud signed a strategic cooperation agreement to jointly build an integrated "AI + Computing Power" solution for Hainan's government and enterprise market, centered on computing power infrastructure, large model Token services, and AI office applications. Tencent Cloud will provide Hainan Computing Power and its customers with high-performance computing, intelligent computing power, storage, and network resources to support the large-scale training and inference needs of the provincial artificial intelligence public service platform. The two parties will also explore commercialization paths such as Token going global and cross-border computing power export.

    Same story · 2 reports

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

  6. Shanghai Observer
    AI score27

    Tencent Video 2027 Slate Released: Sun Zhonghuai Says AI Makes It Easy to Produce, But Not Easy to Produce Well

    The 2027 Tencent Video V Vision Conference was held in Shanghai, where more than 100 premium titles awaiting release were announced, along with a commitment to continue upholding a premium content strategy. Tencent Vice President Sun Zhonghuai stated that AI has made "producing" easier, but has not made "producing well" easier, and that the value of top-tier premium content and major IPs will become more prominent. The platform is exploring a "live-action + AI" hybrid production model and has launched WorkRally, a film and television industry-grade AI workbench.

    #Industry news#Video#Agents

  7. MarkTechPostModel releases
    AI score58

    Edge0 Releases Audio8-TTS-Realistic: A 0.6B Open-Source Voice Cloning TTS Model

    Edge0 has released the open-weight voice cloning TTS model Audio8-TTS-Realistic, with 601M parameters, supporting 23 languages, with weights and code released under Apache 2.0. The model requires only 1 reference audio clip and its corresponding text for zero-shot voice cloning, and can also directly generate speech when no reference voice is available. Self-reported results show an average error rate of 4.86% on the CV3 nine-language benchmark, lower than Qwen3-TTS-1.7B's 7.73%, but it lags behind 4B-class models on the MiniMax benchmark, with Thai WER reaching 48.57%.

    #Model releases#Speech#Open-source ecosystem

  9. CNBC Technology
    AI score76

    Google adjusts its cloud business strategy, selling TPUs externally through partners such as Oracle

    Alphabet announced that Oracle will offer Google's TPUs, marking the first time customers can use TPUs outside of Google's infrastructure. Google had previously opened TPUs to external data centers in the second quarter, and analysts expect Google Cloud revenue to grow about 90% year over year. TD Cowen forecasts TPU sales of $9.4 billion in the second half of this year and $62.5 billion in 2027, while Wells Fargo expects about $9 billion in the third quarter and $99 billion next year; Anthropic reached an agreement last October to use up to 1 million TPUs, and OpenAI also plans to purchase TPUs from Google.

    Same story · 9 reports

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

  10. CNBC Technology
    AI score73

    Anthropic Pursues IPO Under Public Benefit Corporation Structure, Lawyers and Analysts Flag Investor Risks

    CNBC reports that Anthropic plans to list at a valuation of $1.5 trillion or higher, and its public benefit corporation (PBC) structure requires the board to balance public interest with shareholder returns. Lawrence Hamermesh, a Delaware corporate lawyer, noted that PBC law defines the word "balance" vaguely, and that directors' defenses citing the pursuit of public benefit purposes would make accountability harder. Evercore ISI analyst Mark Mahaney said that an independent trust electing a majority of directors, and seven co-founders holding 50.1% of voting power through a single Class F share, will limit shareholders' influence over the company's operations.

    #Industry news#Anthropic

  11. CNBC Technology
    AI score71

    Alphabet's earnings miss expectations, search revenue growth slows to 12%

    Alphabet's third-quarter earnings fell short of expectations across the board, with search and other revenue up 12% year over year to about $63 billion, missing expectations for a second consecutive quarter, while search query volume growth was the highest in five years. Search revenue growth slowed from 19% in the first quarter to 17% in the second quarter and then to 12% this quarter, with the company citing exchange rates as the biggest factor. The stock fell about 13% on Thursday after the earnings release, its largest one-day drop on record, and free cash flow for the quarter was negative $9 billion. Cloud revenue doubled to nearly $31 billion, with cloud backlog of about $560 billion.

    #Industry news#Google#OpenAI

  12. CNBC Technology
    AI score56

    Microsoft cuts annual capital expenditure to $170 billion, Alphabet maintains guidance of $195 billion to $205 billion

    Microsoft lowered its annual capital expenditure forecast from $175 billion to $170 billion, while Alphabet maintained its guidance of $195 billion to $205 billion; the spending figures for both companies came in below analyst expectations. Microsoft CFO Amy Hood said that third-party GPU suppliers have experienced delays, and some available compute capacity will be pushed back to the first half of 2027; Alphabet CFO Anat Ashkenazi said that external compute capacity only came online at the end of the third quarter, and Alphabet's shares fell about 10% after hours. Shares of CoreWeave, Nebius, IREN and Oracle fell after the earnings releases, and Gartner predicts that by 2030, 80% of neocloud companies will be acquired or cease operations.

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

  13. CNBC Technology
    AI score55

    ServiceNow stock plunges 27% after earnings, worst single-day performance since its IPO

    ServiceNow shares fell 27% on Thursday, marking the worst single-day performance on record, after the company's third-quarter results fell short of expectations, reigniting market fears about AI disruption. Revenue for the quarter rose more than 20% year over year to $4.11 billion, roughly in line with LSEG analysts' expectation of $4.10 billion, but adjusted earnings per share of $1.00 came in below the $1.02 expected. Although the company slightly raised its full-year 2026 subscription revenue forecast to $15.78 billion to $15.79 billion, with net new AI average contract value growing 65%, Citi analyst Tyler Radke noted that the investment in its newly formed forward-deployed engineering team has yet to deliver immediate returns, and the market will have to wait until next year to see an inflection point.

    #Industry news#English text is being prepared.

  14. CNBC Technology
    AI score47

    Nvidia Responds to New York Times Report: People Close to Jensen Huang Suspected of Being Chinese Intelligence Assets; Chip Transshipment Allegations Were Investigated and Clarified Last Year

    An Nvidia spokesperson said that Alice Huang, whom The New York Times described as being close to Jensen Huang and suspected by U.S. intelligence agencies of being a Chinese intelligence asset, is associated with the Singapore-based cloud service provider Megaspeed, and that Megaspeed is merely a regional cloud customer of Nvidia; it is normal for Jensen Huang to communicate with thousands of customers each year. The spokesperson said that allegations that Megaspeed evaded export controls were thoroughly investigated and clarified last year, and that customers cannot access Nvidia's trade secrets or related national security information. Nvidia also said that if the U.S. government believes anyone poses a threat to American industry, it will inform the company.

    Same story · 2 reports

    #Industry news#OpenAI

  15. CNBC Technology
    AI score63

    Microsoft plans to issue $25 billion in bonds to support AI infrastructure expansion

    Microsoft announced on Thursday that it plans to issue $25 billion in bonds, using its S&P AAA rating to finance infrastructure expansion. Management has set a 2026 capital expenditure target of $170 billion to meet demand from customers such as Anthropic and OpenAI. The company said the net proceeds will be used for general corporate purposes, which may include working capital, capital expenditures, share repurchases, acquisitions, and repayment of existing debt. The offering is expected to close on November 4. Microsoft's earnings report on Wednesday showed positive free cash flow, while Alphabet's free cash flow was negative for the second consecutive quarter, and Meta and Amazon also reported negative free cash flow this week; Oracle announced a new $10 billion bond issuance plan the same day.

    Same story · 2 reports

    #Industry news#OpenAI#Anthropic

  19. Peter Yang
    AI score18

    Peter Yang agrees with Musk: vibes matter more than benchmarks

    Elon Musk said that the release of Grok 4.8 has taken longer than expected, but it will not disappoint, and stated that the team is not optimizing for benchmarks and that he personally does not care how Grok performs on those tests, emphasizing only that it "will be incredibly useful." Peter Yang reposted and commented: "True, vibes > benchmarks".

    Quoted postElon Musk · @elonmusk

    @techdevnotes I know it’s taken longer than expected, but Grok 4.8 will not be a disappointment. We’re not optimizing for benchmarks and I really don’t care how Grok does on those, but it will be incredibly useful.

    #English text is being prepared.

  20. Elon Musk
    AI score36

    Musk responds with "True" to Levie's take on the AI gap

    Aaron Levie posted that the gap between those currently using AI at the frontier and everyone else is almost incomprehensible, and that this gap curve is not converging but instead continuously widening; the AI progress curve is nearly vertical, and processes solidified 3-6 months ago may already be outdated. Elon Musk quoted the post and replied with just one word: "True".

    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.

    #English text is being prepared.