Category: 3. Business

  • IMF Executive Board Concludes 2025 Article IV Consultation with the Dominican Republic

    IMF Executive Board Concludes 2025 Article IV Consultation with the Dominican Republic

    Washington, DC: The Executive Board of the International Monetary Fund (IMF) completed the Article IV Consultation for the Dominican Republic[1] on November 12, 2025. The authorities need more time to consider the publication of the Staff Report prepared for this consultation.[2]

    The Dominican Republic’s (DR) growth slowed in late 2024 and the first half of 2025 largely due to increased uncertainty and tighter financial conditions. There are preliminary signs that economic activity is reviving, with credit, exports, and tourism growth all picking up in recent months, underpinned by supportive monetary and fiscal policies. Inflation remains close to target and is expected to average 3.7 percent in 2025. External balances are in line with fundamentals and desirable policies. The current account deficit is expected to narrow further this year to 2.5 percent of GDP, on the back of robust exports and remittances, and is fully financed by foreign direct investment (FDI).

    Growth is expected to accelerate to 4.5 percent in 2026 then converge to its long-term trend of 5 percent, while inflation is forecast to remain around the 4 percent ± 1p.p target. The current account deficit is expected to remain around 2½ percent and continue to be fully financed by FDI. The government’s deficit and debt are projected to gradually decline, in part due to the expected reduction of electricity sector losses and improved targeting of energy subsidies. This will also help to create space for planned increases in public investment.

    The balance of risks is tilted to the downside, but the DR is well-positioned to weather them. External risks from global financial conditions and heightened uncertainty remain, as does the DR’s vulnerability to natural disasters. But the DR has strong economic fundamentals and policy space to respond should these risks materialize. On the upside, the DR could benefit from trade diversion and FDI inflows stemming from changes in global trade policies. Domestically, delays in implementing the authorities’ reform and public investment plans could pose a downside risk to growth, while robust implementation would create upside “risks” to growth.

     

    Executive Board Assessment[3]

    Executive Directors commended the Dominican Republic’s sustained efforts to strengthen policies and institutions and advance business‑friendly reforms, driving the strong macroeconomic performance over the past two decades. Directors welcomed that growth is expected to accelerate and inflation remain well‑anchored. They agreed that while downside risks persist, the country is well positioned to absorb shocks, given its strong fundamentals and policy space. Notwithstanding the strong fundamentals, Directors encouraged the authorities to continue with their prudent policies and steadfast implementation of the reform agenda to accelerate growth and enhance resilience.

    Directors encouraged the authorities to maintain prudent fiscal policies and support increased public investment, in line with the medium‑term fiscal framework and Fiscal Responsibility Law. They welcomed the planned consolidation, focused on revenue mobilization and improving spending efficiency, including by removing generalized subsidies while safeguarding necessary social spending. A well‑communicated medium‑term revenue strategy could help lay the groundwork for broader fiscal reform. Directors noted that full implementation of the Electricity Pact is essential to limit fiscal risks and ensure resilience.

    Directors concurred that the monetary policy stance is broadly appropriate. They underscored that strengthening the monetary transmission mechanism would help to reinforce the effectiveness of the inflation targeting framework. Accordingly, Directors encouraged efforts to advance a comprehensive and clearly communicated strategy to gradually wind down exceptional liquidity measures. Furthering domestic financial markets development would also support policy transmission. Directors highlighted the need for continued exchange rate flexibility, with interventions focused on smoothing large shocks and rebuilding buffers to bolster external stability.

    Directors noted that the banking system remains healthy and systemic risks are limited. They commended the progress on enhancing the financial sector supervisory and regulatory framework. The adoption of Basel II and III standards, development of a macroprudential policy toolkit, and strengthening of the AML/CFT framework remain key priorities.

    Directors welcomed the ambitious structural reform agenda, aimed at boosting the country’s potential growth and achieving high‑income status as envisioned in the Meta2036 Plan. They noted that efforts to further improve governance, advance labor and social security reforms, and efficiently invest in infrastructure, education, and health are essential to achieve these goals. Noting the progress made, Directors concurred that the Dominican Republic’s high vulnerability to natural disasters requires a comprehensive approach to mitigating risks and building resilience. Important measures include enhancing the disaster risk management frameworks and deepening natural disaster considerations in fiscal policy.

     

     

     

    Dominican Republic: Selected Economic Indicators

    Population (millions, 2024)                                                     10.8

     

    GDP per capita (2024, U.S. dollars)                        11,542

    Quota                                   477.4 millions SDRs / 0.10% of total

     

    Poverty (2023, share of population)                          23.0

    Main exports                                            tourism, gold, tobacco

     

    Extreme poverty (2023, share of population)             3.2

    Key export markets                                   U.S., Switzerland, Haiti

     

    Adult literacy rate (2021, percent)                             95.5

     

     

     

     

     

     

    Projection

     

    2020

    2021

    2022

    2023

    2024

    2025

    2026

    Output

    (Annual percentage change, unless otherwise stated) 

    Real GDP

    -7.9

    14.0

    5.2

    2.2

    5.0

    3.0

    4.5

    Nominal GDP (RD$ billion)

    4,440

    5,427

    6,257

    6,765

    7,403

    7,977

    8,701

    Nominal GDP (US$ billion)

    78.6

    95.1

    113.8

    120.8

    124.6

    Output gap (in percent of potential output)

    -6.7

    -1.9

    -0.8

    -1.8

    -0.8

    -1.7

    -0.9

    Prices

     

     

     

     

     

     

     

    Consumer price inflation (end of period)

    5.6

    8.5

    7.8

    3.6

    3.3

    3.7

    4.0

    Exchange Rate

     

     

     

     

     

     

     

    Exchange rate (RD$/US$ – period average) 1/

    56.5

    57.1

    55.0

    56.0

    59.4

    Exchange rate (RD$/US$ – eop) 1/

    58.2

    57.3

    56.2

    58.0

    61.1

    Real effective exchange rate (eop, – depreciation) 1/

    -8.1

    6.5

    6.3

    -1.9

    -0.4

    -1.7

    0.0

    Government Finances

    (In percent of GDP) 

    Consolidated public sector debt 2/

    71.4

    61.8

    58.8

    59.7

    58.1

    59.2

    58.2

    Consolidated public sector overall balance 2/

    -9.0

    -3.7

    -3.6

    -4.1

    -3.9

    -4.5

    -3.8

    Consolidated public sector primary balance

    -4.3

    0.7

    0.6

    0.8

    1.1

    0.5

    1.0

    Non-Financial Public Sector (NFPS) balance

    -7.6

    -2.5

    -2.7

    -3.1

    -3.2

    -3.9

    -3.2

     Central government balance

    -7.9

    -2.9

    -3.2

    -3.3

    -3.1

    -3.4

    -3.2

    Revenues and grants

    14.2

    15.5

    15.3

    15.8

    16.4

    16.0

    15.5

    Primary spending

    18.9

    15.3

    15.7

    16.0

    16.1

    15.8

    15.1

    Interest expenditure

    3.3

    3.1

    2.8

    3.2

    3.4

    3.6

    3.7

    Rest of NFPS

    0.3

    0.4

    0.6

    0.2

    -0.1

    -0.5

    0.0

    Financial Sector

    (Annual percentage change, unless otherwise stated) 

    Broad money (M3)

    21.2

    13.4

    6.3

    14.4

    11.3

    10.3

    9.5

    Credit to the private sector

    5.3

    11.6

    16.6

    19.7

    13.5

    12.3

    12.6

    Net domestic assets of the banking system

    2.5

    11.2

    9.9

    13.5

    19.0

    9.2

    10.2

    Policy interest rate (in percent) 1/

    3.0

    3.5

    8.5

    7.0

    6.0

        Average bank deposit rate (1-year; in percent) 1/

    3.1

    2.3

    9.9

    8.6

    9.8

        Average bank lending rate (1-year; in percent) 1/

    9.9

    9.2

    13.5

    13.6

    15.1

    Balance of Payments

    (In percent of GDP) 

    Current account

    -1.7

    -2.8

    -5.8

    -3.7

    -3.3

    -2.5

    -2.5

    Goods, net

    -8.7

    -12.4

    -15.1

    -13.1

    -12.8

    -12.0

    -11.4

    Services, net

    1.8

    3.9

    4.8

    6.0

    6.7

    6.6

    6.4

    Income, net

    5.2

    5.7

    4.5

    3.5

    2.7

    2.9

    2.6

    Capital account

    0.0

    0.0

    0.0

    0.0

    0.0

    0.0

    0.0

    Financial account 3/

    5.3

    5.7

    6.7

    5.2

    2.4

    3.3

    2.8

    Foreign direct investment, net

    3.3

    3.4

    3.6

    3.6

    3.6

    3.5

    3.5

    Portfolio investment, net

    7.1

    2.2

    2.9

    2.0

    1.8

    3.0

    1.1

    Financial derivatives, net

    0.0

    0.0

    0.0

    0.0

    0.0

    0.0

    0.0

    Other investment, net

    -5.1

    0.1

    0.2

    -0.4

    -3.1

    -3.2

    -1.8

    Change in reserves (-increase)

    -2.5

    -2.4

    -1.3

    -0.9

    1.7

    -0.8

    -0.4

    GIR (in millions of US dollars)

    10,752

    13,033

    14,408

    15,464

    13,388

    14,448

    14,973

    Total external debt (in percent of GDP)

    56.6

    47.8

    39.9

    43.2

    43.7

    45.7

    45.2

     of which: Consolidated public sector

    40.4

    35.3

    33.2

    34.2

    34.6

    36.0

    35.3

     

     

     

     

     

     

     

     

    Sources: National authorities; World Bank; and IMF staff calculations.
    1/ Latest available.
    2/ The consolidated public sector includes the budgetary central government (CG); the rest of the Non-Financial Public Sector, i.e., extra-budgetary central government institutions (decentralized and autonomous institutions), social security funds, local governments and non-financial public companies; and the quasi-fiscal central bank debt.

    3/ Excluding reserves.

     

    [1] Under Article IV of the IMF’s Articles of Agreement, the IMF holds bilateral discussions with members, usually every year. A staff team visits the country, collects economic and financial information, and discusses with officials the country’s economic developments and policies. On return to headquarters, the staff prepares a report, which forms the basis for discussion by the Executive Board.

    [2] Under the IMF’s Articles of Agreement, publication of documents that pertain to member countries is voluntary and requires the member consent. The authorities have not yet communicated their decision on the publication of the staff report.

    [3] At the conclusion of the discussion, the Managing Director, as Chair of the Board, summarizes the views of Executive Directors, and this summary is transmitted to the country’s authorities. An explanation of any qualifiers used in summings up can be found here: http://www.IMF.org/external/np/sec/misc/qualifiers.htm.

     

     

    Continue Reading

  • Rolls-Royce welcomes Air Europa MoU for up to 40 aircraft powered by Trent engines

    Rolls-Royce welcomes Air Europa MoU for up to 40 aircraft powered by Trent engines

    The Trent XWB-84 is the best widebody engine in the world. It’s designed, engineered, and optimised specifically for the Airbus A350 – delivering the lowest fuel consumption of any widebody engine and chosen by the world’s most profitable airlines.

    Rolls-Royce is investing £1 billion across our modern Trent engines to increase their durability by an average of 80%, with a significant portion being delivered in 2025.


    Continue Reading

  • Ocado shares fall 17% after US partner announces warehouse closures | Ocado

    Ocado shares fall 17% after US partner announces warehouse closures | Ocado

    The value of online grocer Ocado has fallen sharply after Kroger, it’s major partner in the US, announced the closure of three warehouses using the UK company’s high-tech equipment.

    Ocado signed a deal to build 20 automated warehouses – known as customer fulfilment centres – for Kroger, the US’s fourth largest retailer, in 2018. Eight of those facilities are currently operating with two more planned for next year. The deal was seen as a major part of Ocado’s plan to sell its online grocery delivery technology internationally.

    However, on Tuesday, Kroger said sites in Frederick in Maryland, Pleasant Prairie in Wisconsin, and Groveland in Florida would close in January. Shares in Ocado were down more than 17% on Tuesday after the announcement, wiping about £350m off the value of the company.

    Kroger said that after reviewing its set-up it had “identified opportunities to optimise its fulfilment network”.

    It added that it would now move towards a “hybrid fulfilment network” testing out “capital-light, store-based automation in high-volume geographies” while continuing to use automated warehouse processing of online orders where it sees “higher density of demand”. It noted that it had recently expanded its relationship with quick delivery service providers DoorDash, Instacart and Uber Eats, which take goods directly from stores on bikes, mopeds and other small vehicles.

    Clive Black, a retail analyst at Shore Capital, described Kroger’s announcement as a “near knockout punch” for Ocado, prompting the share price to fall below the 180p price at which it debuted on the London stock market in 2018.

    He said the online grocery technology supplier “is being marginalised as most of its customer fulfilment centres do not work economically in the USA or the mass-market first world in truth.”.

    While centralised, automated warehouses may work effectively to manage home deliveries of groceries in densely populated and affluent urban locations, according to Black, he said Kroger’s actions suggested that the size of Ocado’s total potential market “has been blitzed”.

    “We had expected Kroger to trundle on, not close [warehouses], as part of its ongoing review, a dreadful acclamation of what Morrison, Waitrose and others already knew: capital intensive, centralised fulfilment of food to a dispersed mass-market customer does not financially work.”

    Ocado said it expected to receive more than $250m (£190m) in compensation for fees related to the early closure of the sites but its fee revenue would take a $50m hit in the financial year to December 2026.

    skip past newsletter promotion

    “Ocado continues to support Kroger to optimise logistics operations and drive profitable volume growth in these remaining sites, with constructive ongoing discussions around further use of Ocado’s technology to support Kroger,” the British company said in a statement.

    It added that it “expects significant growth in the US market, both with [warehousing] and store based automation.”

    Continue Reading

  • Decades later, a Yale chemist’s water simulations continue to make waves

    Decades later, a Yale chemist’s water simulations continue to make waves

    Like many successful researchers, Jorgensen has been guided by scientific pursuits his entire life.

    As a kid growing up in Port Washington, a hamlet on the western side of Long Island, and later in Sherman, Connecticut, he conducted scores of experiments with his trusty A.C. Gilbert chemistry set, tromping off to the local drug store regularly to replenish his supply of potassium nitrate. In high school, at Phillips Exeter Academy in New Hampshire, he took AP Chemistry and taught himself how to write computer code in BASIC.

    He went on to graduate from Princeton in three years, learning the computer language FORTRAN in the basement of the Frick Lab and conducting work for his first co-authored study in the Journal of the American Chemical Society. Then it was on to Harvard for graduate school (where he worked with eventual Nobel winner EJ Corey), and to Purdue to begin his teaching and independent research career.

    He soon came to focus his research on the need for better simulations of systems in solution.

    “I realized very quickly that I wanted to study reactions in liquids and investigate the way molecules recognize each other in solution, which can lead eventually to drug design,” Jorgensen said. “In drug design you typically have an inhibitor, a small molecule that is binding to a disease-causing protein, which then disrupts the function of that protein.”

    To do this work, he needed computing know-how and processing muscle. So, he taught himself statistical mechanics to go with his working knowledge of programming, and he got together funding for a research computer.

    In the late 1970s, Purdue had two CDC 6400s (an early mainframe computer built by the Control Data Corporation) in its computer center. That meant two processors for 40,000 students and faculty, compared to today when the average laptop computer has eight processors. But times were changing.

    “Fortunately, I was in the right place at the right time, because by the early 1980s computer resources became more available,” Jorgensen said. “You could have your own computer in your lab, if you could find the money to buy it.”

    He and his research group purchased a Harris 80 — a tall cabinet computer that occupied its own room with an air conditioner and a printer. Much of the funding for it came from a 1978 grant to Jorgensen from the National Science Foundation (NSF).

    NSF was essential to the early work I did, including the water models,” Jorgensen said. “NSF funded basic science research that led to many of the technologies and therapeutics we take for granted today.”

    Meanwhile, the older guard of scientists, who’d previously held computer modeling at arm’s length began to see the value of adapting to changing technology. “In the late 1970s you had people still trying to do paper-and-pencil theory work, but you also had the new people coming in with their computers,” Jorgensen said. “There was some difficulty in my being accepted by some of the theoretical chemists at the time, who were rather dismissive of what I was doing. I had to prove I could do something useful.”

    Continue Reading

  • Check Point Software Collaborates with Microsoft to Deliver Enterprise-Grade AI Security for Microsoft Copilot Studio

    Check Point® Software Technologies Ltd. (NASDAQ: CHKP), a pioneer and global leader of cyber security solutions, today announced it is collaborating with Microsoft to deliver enterprise-grade AI security for Microsoft Copilot Studio. The collaboration enables enterprises to safely build and deploy generative-AI agents with continuous protection, compliance, and governance integrated directly into their development workflows.

    The integration with Copilot Studio brings together Check Point’s AI Guardrails, Data Loss Prevention (DLP), and Threat Prevention technologies, extending its end-to-end AI security stack to safeguard Copilot Studio during agent runtime. The result is continuous protection for every AI agent, ensuring safe and compliant innovation.

    As enterprises rapidly adopt AI agents to drive productivity, new risks emerge, from prompt injection and data leakage, to model misuse and compliance drift. These agents connect to sensitive data and third-party tools, expanding the attack surface beyond traditional controls. By using Check Point’s runtime security and governance capabilities to extend Copilot Studio’s protections, organizations gain full visibility and control to innovate confidently and securely.

    “The rapid adoption of AI agents brings not only innovation and efficiency, but also new security challenges, particularly around maintaining data integrity and preventing misuse of sensitive information,” said Nataly Kremer, Chief Product Officer at Check Point. “Together with Microsoft, we’re providing advanced continuous protection and governance directly into Microsoft Copilot Studio, ensuring that every AI interaction, including autonomous actions within the enterprise, remains secure, compliant, and aligned with enterprise policies.”

    Key capabilities include:

    • Runtime AI Guardrails – Continuous runtime protection for every agent built with Copilot Studio, preventing prompt injection, data leakage, and model misuse
    • Data Loss and Threat Prevention – Integrated DLP and Threat Prevention engines that safeguard sensitive data across every tool call and workflow inside Copilot Studio
    • Enterprise-Grade Scale and Precision – A unified security bundle designed for large-scale deployments, delivering consistent protection and low latency without impacting performance
    • Seamless Protection for Productivity – Allows organizations to fully use the power of Copilot Studio while maintaining runtime visibility, compliance, and prevention-first protection

    “As organizations embrace Microsoft Copilot Studio to build AI agents tailored to their business, security and compliance are paramount,” said David Blyth, VP Engineering, Copilot Studio, Microsoft. “Our relationship with Check Point helps customers innovate confidently, combining Microsoft’s trusted Copilot platform with Check Point’s prevention-first AI security to keep sensitive data and AI workflows protected by design.”

    This collaboration reinforces Check Point’s leadership in securing the AI-powered enterprise and marks another milestone in its mission to protect the full AI lifecycle – from model development to runtime execution, and from organizational applications to employee usage across the workspace.

    For more information about Check Point’s AI security and its integration with Copilot Studio, visit our website.

    Follow Check Point on LinkedInX (formerly Twitter), Facebook, YouTube and our blog.

    About Check Point Software Technologies Ltd. 

    Check Point Software Technologies Ltd. (www.checkpoint.com) is a leading protector of digital trust, utilizing AI-powered cyber security solutions to safeguard over 100,000 organizations globally. Through its Infinity Platform and an open garden ecosystem, Check Point’s prevention-first approach delivers industry-leading security efficacy while reducing risk. Employing a hybrid mesh network architecture with SASE at its core, the Infinity Platform unifies the management of on-premises, cloud, and workspace environments to offer flexibility, simplicity and scale for enterprises and service providers.

    Legal Notice Regarding Forward-Looking Statements
    This press release contains forward-looking statements. Forward-looking statements generally relate to future events or our future financial or operating performance. Forward-looking statements in this press release include, but are not limited to, statements related to our expectations regarding our products and solutions, our expectations regarding future growth, the expansion of Check Point’s industry leadership, the enhancement of shareholder value and the delivery of an industry-leading cyber security platform to customers worldwide. Our expectations and beliefs regarding these matters may not materialize, and actual results or events in the future are subject to risks and uncertainties that could cause actual results or events to differ materially from those projected. The forward-looking statements contained in this press release are also subject to other risks and uncertainties, including those more fully described in our filings with the Securities and Exchange Commission, including our Annual Report on Form 20-F filed with the Securities and Exchange Commission on March 17, 2025. The forward-looking statements in this press release are based on information available to Check Point as of the date hereof, and Check Point disclaims any obligation to update any forward-looking statements, except as required by law.

     


    Continue Reading

  • Hexham’s Haydon Bridge High School to open as strike action ‘paused’

    Hexham’s Haydon Bridge High School to open as strike action ‘paused’

    James RobinsonLocal Democracy Reporting Service

    Iain Buist/NCJ Media A blue sign that reads in white lettering, 'Haydon Bridge High School' on a patch of grass covered in brown leaves. It stands in front of a tree. To the right is a path leading to a school. Iain Buist/NCJ Media

    The school in Northumberland has said it will be able to remain open

    A school will open on Wednesday after one of the two main teachers’ unions agreed to pause strike action.

    Union bosses said teachers and support staff at Haydon Bridge High School in Northumberland would walk out for two days – on 19 and 25 November – over what they say is a “failure” to tackle “disruptive behaviour”.

    In a letter to parents, the school said it would remain open as the NASUWT agreed to pause the strike. It has previously said officials had “deemed behaviour to be as good as what is seen in most high schools”.

    The National Education Union (NEU) said its members remained committed to the walkout.

    The unions said employees had repeatedly raised fears about pupil behaviour and the impact it was having on safety, teaching and learning.

    ‘Our wonderful students’

    A letter from the school, seen by the Local Democracy Reporting Service, described Haydon Bridge High School as a “brilliant” school that was “small” and “caring”, adding that it “truly aims to serve its local community”.

    It read: “Both the school and the unions are keen to bring this dispute to an end. The best way to judge a school’s behaviour is by looking at the data and seeing it in action.”

    It said Ofsted “rightly identified” suspensions were too high but since the introduction of new systems, suspensions were down by more than 30% compared to this time last year.

    The school says referrals to its restart room are also down, and invited parents to pay a visit to “view our wonderful students engaged in their learning”.

    NASUWT declined to issue any further comment but Sean Kelly, branch secretary of Northumberland NEU, said members remained committed to taking strike action.

    He said he had written to the school and Northumberland County Council to reiterate the NEU remained on strike on Wednesday.

    “We have a meeting with our members this evening to speak to them and see if they are still willing to take strike action, but the overwhelming message last night was that they were,” he said.

    “They were not impressed at all with more promises, we have had this for 13 months and nothing has changed. Employers don’t call off a strike, workers do.”

    Continue Reading

  • Mount Sinai Medical Center Achieves HIMSS EMRAM Stage 7 Validation

    Mount Sinai Medical Center Achieves HIMSS EMRAM Stage 7 Validation

    South Florida hospital recognized at the highest level of digital care excellence

    MIAMI BEACH, Fla., Nov. 18, 2025 /PRNewswire/ — Mount Sinai Medical Center has achieved HIMSS Electronic Medical Record Adoption Model (EMRAM) Stage 7 validation, the highest level of digital health maturity recognized by the Healthcare Information and Management Systems Society (HIMSS). This distinction places Mount Sinai among a limited number of hospitals that have fully optimized their electronic medical record systems to support safer, faster, and more coordinated patient care.

    What this means for patients:

    Your care team now has a complete, real-time picture of your health—whether you’re in the hospital, visiting a specialist, or recovering at home. This reduces delays, helps avoid repeated tests, supports more accurate treatment decisions, and ensures that your doctors and nurses are always working from the same information.

    “Achieving Stage 7 reflects our commitment to clinical excellence and continuous improvement,” said Gino R. Santorio, President and CEO of Mount Sinai Medical Center. “Investing in digital innovation is ultimately about improving patient safety and the experience of care. It ensures our clinicians have the right information at the right time to support the highest-quality decisions.”

    The EMRAM Stage 7 designation recognizes Mount Sinai’s system-wide success in:

    • Allowing patients to access their health information through digital tools such as MyChart, remote monitoring, and health reminders, making care more convenient and accessible
    • Improving efficiency for clinicians by providing tools for clinical decision-making, real-time alerts, evidence-based order sets, and AI-supported workflows
    • Providing a fully optimized, secure, and interoperable system that leverages data analytics to ensure the best outcomes for our patients 

    “This milestone represents years of strong collaboration between our clinical and technology teams,” said Tom Gillette, Chief Information Officer at Mount Sinai. “Our priority has been designing digital systems that truly support the clinical workflow, improving clarity, reducing administrative burden, and giving clinicians better insight into each patient’s needs.”

    The EMRAM model is used globally to evaluate how effectively hospitals use digital systems to enhance patient care, clinician support, data security, and organizational performance.

    About Mount Sinai Medical Center
    Founded in 1949, Mount Sinai Medical Center is the largest independent, private, not-for-profit teaching hospital in South Florida. Mount Sinai’s mission is to provide quality health care to a diverse community enhanced through teaching, research, charity care, and financial responsibility. Mount Sinai’s Centers of Excellence combine technology, research, and academics to provide innovative and comprehensive care in cardiology, neuroscience, oncology, urology, and orthopedics. One of the original statutory teaching hospitals in the state of Florida, Mount Sinai is the hospital of choice for those who seek the level of expertise and care that only a teaching hospital can offer. Mount Sinai currently offers ten convenient locations in Miami-Dade County, including three emergency centers, and four specialty care offices in Monroe County. 

    SOURCE Mount Sinai Medical Center

    Continue Reading

  • Nvidia is set to report earnings Wednesday. These stocks could be moved by the results

    Nvidia is set to report earnings Wednesday. These stocks could be moved by the results

    Continue Reading

  • Journal of Medical Internet Research

    Journal of Medical Internet Research

    Key Takeaways

    • Certain features of large language models (LLMs) may amplify delusional beliefs and contribute to harm.
    • A recent simulation study highlights the role of sycophancy, demonstrating that all LLMs, to varying extents, may fail to adequately challenge delusional content.
    • Further empirical research and validation, transparency, and policy are needed to understand and build safeguards around LLM use and its impact on mental health.

    We’re certainly not in Kansas anymore, but are we in a Lovecraft novel?

    An old artificial intelligence (AI)–insider joke with an anxious edge and new relevance, a shoggoth is a globular Lovecraftian monster described as a “formless protoplasm able to mock and reflect all forms and organs and processes” []. The idea is that a shoggoth’s true nature is inscrutable and evasive—not unlike large language models (LLMs), which can be trained to appear superficially anthropomorphic, safe, and familiar, yet can behave in unexpected ways or lead to unanticipated harms [,].

    Some such harms include reports of unhealthy romantic attachments, self-harm, suicide, and murder potentially associated with chatbot use [-]. These phenomena—dubbed “AI psychosis”— have been the focus of increasing interest and concern in the media [,], attracted academic commentary [,], and have most recently led to several lawsuits being filed [].

    The term AI psychosis is being used as a shorthand to describe a range of psychological disturbances that appear to emerge in the context of LLM use. While provocative, it’s somewhat imprecise in implying that AI is causing diagnosable psychotic disorders or that AI psychosis constitutes a distinct diagnostic entity—the science is still out.

    Early clinical commentary—including a prescient editorial on the topic before reports even emerged []—does, however, suggest that LLMs may be contributing to the maintenance, reinforcement, or amplification of paranoid, false, or delusional beliefs, especially in circumstances involving prolonged or intensive LLM use and underlying user vulnerabilities [,,-].

    “When using generative chatbots,” says Dr Kierla Ireland, a Clinical Psychologist at the Canadian Department of National Defense, “there’s a risk of confirmation bias wherein the user’s own perspective is reflected back to them. This may be experienced as validating or soothing, which may lead to more engagement, more confirmation bias, and so on.”

      Dr Kierla Ireland, Clinical Psychologist

    This is not unlike processes that can occur with other types of technology, like social media [,]—but while not a new threat, certain features of the technology may make AI psychosis a more pernicious one.

    Sycophancy, for example, is a well-known—and, some speculate, intentionally designed—feature of chatbots that can increase both user engagement and potential risk [-]. Dr Josh Au Yeung, Neurology Registrar at King’s College London, Clinical Lead at Nuraxi.ai, and host of the Dev & Doc podcast, notes that the anthropomorphic nature of LLMs adds potency: “You end up trusting them [LLMs], and attributing emotions to them. If a stranger came to you and they were so sycophantic on the streets, you’d run for your life, right? But because you have this connection with them—that’s what makes it extra dangerous.”

       Dr Josh Au Yeung, Neurology Registrar

    In their recent preprint [], Dr Au Yeung and his colleagues endeavored to provide one of the first empirical demonstrations of how LLMs may amplify delusions and contribute to what they more precisely term “LLM-induced psychological destabilization.” Their study aims to quantify the “psychogenicity” of different LLMs using simulated conversations and a safety benchmark they’re calling psychosis-bench.

    Across 16 scenarios constructed to reflect the development of different types of delusions and to map roughly onto AI psychosis media reports, the researchers have evaluated the extent to which each of the LLMs’ responses represent a delusion confirmation, harm enablement, or safety intervention.

    The team’s initial conclusions are revealing: all models appear to demonstrate some degree of “psychogenicity.” On average, and especially in more subtle scenarios, models frequently failed to actively challenge potential delusions and refuse harmful requests, and frequently missed opportunities to provide safety interventions.

    The performance of the different models varied widely, however, with Anthropic’s Claude 4 outperforming every other model on the three indices, and Google’s Gemini 2.5 Flash bringing up the rear on all three. Dr Au Yeung isn’t surprised by this.

    “It’s no surprise that the only company which is publishing on AI safety and sycophantic behavior performs the best,” he says. “Clearly the stuff they do—the constitutional AI, the safety side, the way they prompt-tune the model—is having some effects on its performance.” He says he hopes other companies will start thinking along these lines and has shared his code [] so that they can, noting in particular the need to address sycophancy. “Unlike most other shortcomings seen in LLMs,” he says, “sycophancy is not a property that is correlated to model parameter size; bigger models are not necessarily less sycophantic,” suggesting that more targeted safety research and model alignment strategies are needed [].

    As the team works on revising and strengthening the methods to support their findings, Dr Au Yeung reports that what they have learned from their study is already having a positive impact.

    His team’s research was featured in the widely read annual State of AI Report for 2025 []. And at his current company, Nuraxi.ai, they’re in the process of applying psychosis-bench to their user-facing chatbot.

    The responsibility for preventing and dealing with psychological destabilization associated with LLM use is not on consumers or patients, Dr Au Yeung says. “The onus for us [developers] is to actually focus on the LLM and put in safeguards to stop this phenomenon from happening.”

    Dr Ireland shares this sentiment, noting “the vital importance of incorporating safeguards to promote critical thinking; that is, for users to be shown multiple perspectives, including those that may counter deeply-held beliefs and cause discomfort.”

    Whether, how, and how effectively other developers will implement these kinds of safeguards remains to be seen. Dr Au Yeung acknowledges the risk that some safety benchmarks may ultimately be “gamed” or treated as public relations exercises by bad-faith actors incentivized by profit rather than genuine concern for the public good.

    Camille Carlton, Policy Director at the Center for Humane Technology, shares similar concerns. While she places responsibility for implementing safeguards—and for harms caused by failing to implement them—with those who develop LLMs and AI technology, she also advocates for meaningful regulation and oversight.

        Ms Camille Carlton, Policy Director

    “Developers…not only have asymmetric access to information about the products they create, they also have the most control over the way the product is built, how those choices impact users downstream, and how to make changes to the product that could make it safer,” she says. However, “recent product announcements—like OpenAI claiming to prioritize kids’ safety while simultaneously launching erotic content—demonstrate that unless compelled to, these companies will not act in the public’s best interest on their own. Policymakers should support common-sense approaches that apply to other consumer products, like product liability.”

    Continuing to comment on an October 14 social media post in which OpenAI founder Sam Altman stated that the company has developed news tools and been able to “mitigate the serious mental health issues” in the current ChatGPT model and intends to incorporate erotica for ”verified adults” in December [], Ms Carlton advises against leaving developers to “grade their own homework.”

    While steps are being taken in the right direction—for example, an October 27 article from OpenAI highlights collaboration with a network of external mental health experts to improve ChatGPT’s responses in sensitive conversations []—further independent verification is needed.

    “There’s a continuous pattern of AI companies making safety claims without allowing third-party researchers to independently test and verify them,” Ms Carlton says, adding that “we need transparency about what progress has actually been made and evidence beyond anecdotal reports.”

    When it comes to the phenomenon of AI psychosis (or psychological destabilization associated with LLM use), AI may be less shoggoth and more mirror—the kind you find at a carnival, one that may amplify and distort human tendencies in ways that can be harmful.

    But whether Lovecraftian monster or carnival mirror, to Ms Carlton’s points, further empirical research and validation, transparency, and policy are needed to understand and build safeguards around LLM use and its impact on mental health. Cross-talk—between researchers, developers, mental health professionals, policymakers, and the public—will be essential for finding effective solutions that maximize its potential benefits and mitigate its potential harms.

    In the meantime, critical thinking and reasonable caution are warranted in how we use, interpret, and integrate these tools in our lives and practices.

    None declared.

    © JMIR Publications. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.Nov.2025.

    Continue Reading

  • Microsoft, Nvidia invest in Anthropic in cloud services deal | Technology News

    Microsoft, Nvidia invest in Anthropic in cloud services deal | Technology News

    The announcement underscores AI industry’s insatiable appetite for computing power as companies race to build systems that can rival or surpass human intelligence.

    Microsoft and Nvidia plan to invest in Anthropic under a new tie-up that includes a $30bn commitment by the Claude maker to use Microsoft’s cloud services, the latest high-profile deal binding together major players in the AI industry.

    Nvidia will commit up to $10bn to Anthropic and Microsoft up to $5bn, the companies said on Tuesday, without sharing more details.

    Recommended Stories

    list of 4 itemsend of list

    A person familiar with the matter said both the companies have committed to investing in Anthropic’s next funding round.

    The announcement underscores the AI industry’s insatiable appetite for computing power as companies race to build systems that can rival or surpass human intelligence. It also ties major OpenAI-backer Microsoft, as well as key AI chip supplier Nvidia, closer to one of the ChatGPT maker’s biggest rivals.

    “We’re increasingly going to be customers of each other. We will use Anthropic models, they will use our infrastructure and we’ll go to market together,” Microsoft CEO Satya Nadella said in a video. He added that OpenAI “remains a critical partner”.

    The move comes weeks after OpenAI unveiled a sweeping restructuring that moved it further away from its non-profit roots, giving it greater operational and financial freedom.

    The startup has since then announced a $38bn deal to buy cloud services from Amazon.com as it reduces reliance on Microsoft. Its CEO, Sam Altman, has said OpenAI is committed to spending $1.4 trillion to develop 30 gigawatts of computing resources – enough to roughly power 25 million US homes.

    Still, three years after ChatGPT’s debut, investors are increasingly uneasy that the AI boom has outrun fundamentals. Some business leaders have noted that circular deals – in which one partner props up another’s revenue – add to the bubble risk.

    “The main feature of the partnership is to reduce the AI economy’s reliance on OpenAI,” D A Davidson analyst Gil Luria said of Tuesday’s announcement.

    “Microsoft has decided not to rely on one frontier model company. Nvidia was also somewhat dependent on OpenAI’s success and is now helping generating broader demand.

    AI industry consolidating

    Founded in 2021 by former OpenAI staff, Anthropic was recently valued at $183bn and has become a major rival to the ChatGPT maker, driven by the strong adoption of its services by enterprise customers.

    The Reuters news agency reported last month that Anthropic was projecting to more than double and potentially nearly triple its annualised revenue run rate to around $26bn next year. It has more than 300,000 business and enterprise customers.

    As part of Tuesday’s move, Anthropic will work with Nvidia on chips and models to improve performance and commit up to 1 gigawatt of compute using Nvidia’s Grace Blackwell and Vera Rubin hardware. Industry executives estimate that one gigawatt of AI computing can cost between $20bn and $25bn.

    Microsoft will also give Azure AI Foundry customers access to the latest Claude models, making Claude the only frontier model offered across all three major cloud providers.

    “These investments reflect how the AI industry is consolidating around a few key players,” eMarketer analyst Jacob Bourne said.

    Despite the looming deal, Microsoft shares are down 3.2 percent in midday trading. Nvidia is also trading 1.9 percent lower than at the market open, and Amazon has fallen 4 percent. Tech stocks remain under pressure after a cloud services outage earlier on Tuesday. Neither OpenAI nor Anthropic is publicly traded.

    Continue Reading