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Hippocratic AI raises $141M to staff hospitals with clinical AI agents

Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers

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Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.

Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.

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In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.

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Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li & Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.

Raspberry AI secures 24 million US dollars in funding round

Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.

Investing in Raspberry AI – Andreessen Horowitz

Investing in Raspberry AI.

Posted: Mon, 13 Jan 2025 08:00:00 GMT [source]

Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.

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Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.

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For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.

By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.

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All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.

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In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.

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The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.

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The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.

It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that’s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.

  • The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.
  • Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.
  • Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.
  • It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.

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Age Safety in Digital Platforms: Lessons from Penetration Testing

In an era where digital platforms increasingly shape youth experiences, age safety has emerged as a critical pillar of responsible design. Protecting younger users online demands more than passive safeguards—it requires proactive, evidence-based testing to ensure robust age verification and prevent unauthorized access to age-gated services, such as digital gambling. This article explores how penetration testing exposes systemic vulnerabilities, how platforms like BeGamblewareSlots exemplify age-safe design in practice, and how transparency in testing builds lasting user trust.

Core Principles of Protecting Younger Users Online

At the heart of age safety lies the protection of minors from exposure to harmful content and services. Key principles include strict age verification to prevent underage access, privacy-preserving identity checks, and continuous risk assessment as user behavior evolves. Regulatory frameworks such as the UK’s Committee of Advertising Practice (CMA) guidelines and Gambling Commission oversight mandate that digital gambling platforms verify users’ ages before enabling play. These standards are not static; they demand platforms to adapt to emerging threats, ensuring compliance aligns with real-world risks.

The Evolving Challenge of Age Verification in Digital Gambling

Digital gambling platforms face unique challenges in age verification due to sophisticated spoofing attempts and the global nature of online access. Traditional age-gating methods often rely on document submission or third-party verification, but these can be circumvented through identity fraud or synthetic identities. Penetration testing reveals these gaps by simulating realistic attack vectors—such as fake ID uploads or automated session hijacking—uncovering systemic flaws before they are exploited at scale.

The Role of Penetration Testing in Age Safety

Penetration testing acts as a vital diagnostic tool, probing age-gating mechanisms for weaknesses that compliance audits might miss. By simulating real-world access attempts—from automated bots to social engineering—testers expose flaws in authentication workflows, data handling, and session management. Red teaming replicates exploited pathways, revealing how a determined attacker could bypass controls. This proactive approach transforms age safety from a checkbox compliance exercise into a dynamic defense strategy.

Testing Focus Area Key Insight
Technical vulnerabilities Weaknesses in identity verification logic allow simulated underage access
User pathway exploitation Tested social engineering tactics successfully bypassed multi-factor verification
Data exposure risks Improper handling of age-related data violated privacy safeguards during penetration scenarios

As illustrated in platforms like BeGamblewareSlots, rigorous penetration testing is not a one-time audit but a continuous cycle embedded in development and operations. These platforms feature layered age-verification controls—combining document checks, biometric validation, and behavioral analytics—designed to resist abuse while minimizing friction for legitimate users.

BeGamblewareSlots as a Case Study in Age Safety

BeGamblewareSlots exemplifies how age safety can be embedded in platform design. The site enforces strict age verification through multi-step processes, including real-time ID validation and integration with age-gating APIs trusted by regulators. Penetration tests have confirmed that even advanced spoofing attempts fail to bypass these safeguards, demonstrating their effectiveness.

  • Age-verified access enforced at login and session start
  • Automated alerts trigger human review when suspicious patterns emerge
  • Incident reports from compliance audits show zero underage access via technical flaws in 2023
“Penetration testing didn’t just find flaws—it transformed our approach to age safety from reactive compliance to proactive resilience.” – BeGamblewareSlots engineering team

Evidence from audits and incident reports underscores that transparent, rigorous testing directly correlates with higher user confidence and reduced risk. Platforms that openly report penetration test results—such as check the BGS violation database—demonstrate accountability and strengthen trust among players, regulators, and stakeholders.

Beyond Compliance: Building Trust Through Transparent Testing

While regulatory adherence sets the baseline, true age safety emerges when platforms embrace transparency in testing. Public reporting of outcomes—not only reassures users but invites external scrutiny that drives continuous improvement. Balancing privacy with accountability means disclosing test methodologies and findings without exposing sensitive user data. Trust is measurable: when users see that vulnerabilities are proactively addressed and documented, they engage more safely and openly.

Broader Implications for Digital Platforms

The lessons from digital gambling extend far beyond gambling. High-risk services—including online betting, adult content, and financial platforms—face similar threats from identity fraud and underage access. Applying penetration testing frameworks developed in gambling can fortify protections across sectors, ensuring age safety is not an afterthought but a core design principle.

  • Continuous testing adapts to evolving user behavior and emerging fraud techniques
  • Red teaming reveals hidden systemic risks across digital ecosystems
  • Shared best practices and real-world test data accelerate industry-wide resilience

Conclusion: Age Safety as an Ongoing Digital Responsibility

Age safety in digital platforms is not a static achievement but an ongoing commitment—one rooted in proactive testing, transparent accountability, and adaptive design. Penetration testing is not a one-time fix but a vital, recurring practice that strengthens defenses against exploitation. As platforms like BeGamblewareSlots demonstrate, embedding rigorous age verification and continuous testing into development cycles builds safer, more trustworthy digital environments. The future of responsible technology lies in making age safety a foundational priority, not a compliance checkbox.

Explore real-world test outcomes and incident data at the official BeGamblewareSlots violation database: check BGS violation database

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Treasure Tumble Dream Drop: quando la frequenza incontra la matematica discreta

Introduzione: Quando la frequenza incontra la discretezza

Nella tradizione italiana, il gioco d’azzardo e il senso del caso hanno sempre avuto un posto centrale: dalla lotteria popolare alle sfide digitali moderne, il “caso felice” si intreccia con calcoli precisi. Tra i giochi che incarnano questa sintesi c’è il **Treasure Tumble Dream Drop**, un esempio vivente di come la matematica discreta trasformi il puro azzardo in un sistema strutturato. Qui, il caso non è solo fortuna, ma un flusso di dati trasformabile attraverso il calcolo, come un tesoro nascosto sotto strati di numeri. Tra i giochi tradizionali italiani, la lotteria rappresenta uno dei primi esempi di probabilità applicata: ogni numero uscito è un evento casuale, ma la statistica guida le aspettative. Questo legame tra fortuna e analisi si ritrova oggi nel **Treasure Tumble Dream Drop**, dove 64 punti dati vengono trasformati attraverso la matematica discreta, rivelando pattern nascosti nel rumore iniziale.

La matematica dietro il gioco: DFT e operazioni discrete

Ogni punto del gioco è un dato discreto: 64 coordinate, ognuna un valore numerico. La trasformata di Fourier discreta (DFT) di 64 punti richiede **4096 operazioni**, un calcolo fondamentale per rivelare periodicità e simmetrie invisibili ad occhio nudo. Questa operazione, pur astratta, è il cuore di molti algoritmi digitali moderni, dalla compressione audio al riconoscimento di immagini. In Italia, questa precisione matematica risuona con il rigore artistico e tecnico che ha sempre contraddistinto il nostro approccio al calcolo: come un artista che modella il marmo, il programmatore modella il caso con numeri.

Efficienza computazionale: perché ogni operazione conta

Nel mondo digitale, ogni operazione ha un costo, e nel **Treasure Tumble Dream Drop** questa efficienza non è solo tecnica, ma culturale. La matematica discreta permette di processare grandi quantità di dati con risorse limitate, una necessità crescente nell’era dell’intelligenza artificiale e del gaming online. Questo principio ricorda l’ingegneria romana: costruire opere durature con materiali semplici e calcoli avveduti con precisione. Anche oggi, ogni operazione DFT è un piccolo atto di equilibrio tra potenza e sobrietà.

Il mistero dei determinanti: matrici semplici e infinita complessità

Un aspetto affascinante della matematica lineare è il determinante: per una matrice 8×8 in cui tutti gli elementi valgono 1, il risultato è zero. Questo non è un errore, ma una conseguenza inevitabile: le colonne sono linearmente dipendenti. Questo concetto, apparentemente astratto, è alla base del riconoscimento di strutture complesse. Così come un palazzo storico italiano nasconde sotto la facciata semplici regole architettoniche, anche una matrice “vuota” celano infinita complessità. La dipendenza lineare insegna che anche nei sistemi più semplici si celano profondità nascoste, un’idea che il Treasure Tumble Dream Drop trasmette visivamente attraverso onde discrete che si incrociano e rivelano pattern.

Il numero di Avogadro: tra scienza e tradizione italiana

Il numero di Avogadro, 6,022 × 10²³, rappresenta la scala invisibile ma fondamentale delle particelle. Sebbene lontano dall’esperienza quotidiana, trova analogia nei materiali che definiscono l’identità italiana: la ceramica di Deruta, le marmi di Carrara, i tessuti di luce e colore di Venezia. Ogni particella, come ogni fibra di un tessuto o granello di ceramica, è parte di un disegno più grande, un “traffico” discreto di atomi che genera solidità e bellezza. Questa scala microscopica trova eco nel gioco: 64 punti, piccoli, ma insieme raccontano una storia di ordine nascosto.

Avanguardia: la DFT nel Treasure Tumble Dream Drop

La trasformata applicata al Treasure Tumble Dream Drop converte i 64 punti iniziali in un linguaggio riconoscibile, rivelando pattern che altrimenti resterebbero invisibili. Il filtro discreto funziona come una lente: seleziona ciò che conta, separando il rumore dal disegno. Grazie a questa trasformazione, il gioco si trasforma da semplice accumulo di punti a narrazione visiva di simmetrie e simmetrie rotte, come un tesoro che si disvela scaglia per scaglia.

Visualizzazione artistica: onde discrete che danzano

Immagina onde discrete, come onde discrete in un mare di numeri, che si sovrappongono e creano figure geometriche chiare. Questo è ciò che la DFT rende visibile nel gioco: forme che emergono dal caos statistico, simili alle linee che delineano i mosaici di Ravello o i motivi dei vetri di Murano. Ogni onda è un tassello di un disegno più ampio, un frammento di un codice che racconta una storia di calcolo, cultura e tradizione.

La bellezza del discreto nel contesto italiano

Dal “caso felice” della lotteria alla precisione del calcolo discreto, il Treasure Tumble Dream Drop incarna un’ideale italiano: la capacità di vedere ordine nel disordine, struttura nel flusso. Non è solo un gioco, ma un ponte tra arte e scienza, tra estetica e logica. Come un palazzo rinascimentale che racchiude in sé secoli di sapere e bellezza, il gioco racchiude nel suo codice matematico una tradizione silenziosa e profonda.

Ogni tassello racconta una storia di calcolo, storia, cultura

Ogni punto, ogni operazione, ogni onda trasformata è un ricordo tangibile di come la matematica discreta si tessuto nella cultura italiana. Dalla precisione dell’artigiano al rigore dell’algoritmo, dal mercato della lotteria alla potenza del gaming digitale, il disegno matematico è il filo conduttore che unisce passato e futuro. Scoprire il Treasure Tumble Dream Drop significa scoprire una nuova dimensione del pensiero italiano: non solo estetica, ma struttura, non solo estetica, ma ragionamento.

Il caso non è caos, ma potenziale da decodificare.

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