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AI, parte la corsa degli hedge funds: miliardi d’investimenti verso la rivoluzione tech e rendimenti fino al 47% di Peter Rudegeair (Wall Street Journal) A soli 23 anni, Leopold Aschenbrenner ha raccolto oltre 1,5 miliardi di dollari per il suo hedge fund Situational Awareness, puntando su titoli legati all’intelligenza artificiale e ottenendo rendimenti straordinari Leopold Aschenbrenner è emerso lo scorso anno come un precoce influencer nel campo dell’intelligenza artificiale dopo aver pubblicato un manifesto molto letto. Poi ha deciso di cimentarsi nella selezione di titoli azionari. Il 23enne, senza alcuna esperienza professionale negli investimenti, ha rapidamente raccolto più fondi per un hedge fund di quanto riescano a fare la maggior parte dei gestori con pedigree quando decidono di mettersi in proprio. Con le valutazioni di Nvidia, OpenAI e altre aziende legate all’intelligenza artificiale in continua ascesa, aumentano anche gli investimenti negli hedge fund che sperano di cavalcare l’onda dell’AI. La società di Aschenbrenner, Situational Awareness, con sede a San Francisco, ora gestisce oltre 1,5 miliardi di dollari, secondo fonti informate. Ha descritto la società come un «think tank sull’AI». La sua strategia prevede di puntare su titoli globali che possono trarre beneficio dallo sviluppo della tecnologia AI, come aziende di semiconduttori, infrastrutture e energia, insieme a investimenti in alcune startup, tra cui Anthropic. Ha detto agli investitori di voler compensare queste posizioni con piccole scommesse al ribasso su settori che potrebbero essere lasciati indietro. Situational Awareness ha ottenuto un rendimento del 47% al netto delle commissioni nella prima metà dell’anno, secondo una delle fonti. Nello stesso periodo, l’S&P 500 è cresciuto di circa il 6%, dividendi inclusi, mentre un indice di hedge fund tecnologici compilato dalla società di ricerca PivotalPath ha guadagnato circa il 7%. Aschenbrenner, originario della Germania, ha lavorato brevemente come ricercatore presso OpenAI prima di esserne allontanato. Ha chiamato la sua società Situational Awareness in onore del saggio di 165 pagine che ha scritto sul potenziale e i rischi dell’intelligenza artificiale. Ha reclutato Carl Shulman, un altro intellettuale nel campo dell’AI che in passato ha lavorato per il fondo macro hedge fund di Peter Thiel come direttore della ricerca. Tra i finanziatori della società figurano Patrick e John Collison, i fratelli miliardari fondatori della società di pagamenti Stripe, così come Daniel Gross e Nat Friedman, che Mark Zuckerberg ha recentemente incaricato di aiutare a guidare gli sforzi di Meta nell’ambito dell’AI. Graham Duncan, un noto investitore che organizza la Sohn Investment Conference, è uno dei consulenti. «Avremo molta più situational awareness rispetto a chiunque gestisca denaro a New York», ha detto Aschenbrenner al podcaster Dwarkesh Patel lo scorso anno. «Faremo sicuramente benissimo con gli investimenti». Leggi anche: Volatilità dei mercati e investitori retail, gli hedge fund sono la soluzione? Aumenta la concorrenza nel settore Un ulteriore segnale della forte domanda per i servizi di Aschenbrenner è il fatto che molti investitori abbiano accettato di vincolare il proprio denaro con lui per anni. Altri lanci recenti includono un hedge fund focalizzato sull’AI di Value Aligned Research Advisors (Var), una società d’investimento con sede a Princeton, New Jersey, fondata dagli ex quants Ben Hoskin e David Field. Il fondo, lanciato a marzo, ha già raccolto circa 1 miliardo di dollari in asset, secondo una fonte informata. Var gestisce anche circa 2 miliardi di dollari in altre strategie di investimento focalizzate sull’AI. Tra gli investitori di Var c’è anche la fondazione filantropica del co-fondatore di Facebook, Dustin Moskovitz, secondo documenti regolatori esaminati dalla società di analisi dati Old Well Labs. Anche hedge fund più affermati stanno entrando in questo campo. Lo scorso anno, Steve Cohen ha incaricato uno dei suoi gestori di portafoglio presso Point72 Asset Management, Eric Sanchez, di avviare un hedge fund incentrato sull’AI, che Cohen avrebbe finanziato con 150 milioni di dollari di capitale proprio. Il fondo, chiamato Turion, in onore del teorico dell’AI Alan Turing, ora supera i 2 miliardi di dollari in asset, secondo fonti informate. Turion ha registrato un rendimento di circa 11% quest’anno fino a luglio, dopo un guadagno di circa 7% solo nel mese scorso, hanno detto le fonti. Non sorprende che stiano nascendo numerosi fondi tematici per capitalizzare sull’entusiasmo attorno all’intelligenza artificiale. Negli anni passati, gli hedge fund specializzati nella transizione verso l’energia pulita e negli investimenti con un approccio ambientale, sociale e di governance aziendale (Esg) si sono moltiplicati in risposta alla domanda dei clienti. Tuttavia, identificare un tema vincente non è la stessa cosa che saperlo tradare bene. I gusti degli investitori possono essere volubili; molti hedge fund Esg di rilievo si sono ridimensionati o hanno chiuso i battenti. Il calo dei mercati seguito al rilascio, a gennaio, di un modello linguistico avanzato e a basso costo da parte della società cinese DeepSeek ha mostrato quanto siano fragili le valutazioni delle aziende considerate vincitrici nell’ambito dell’AI, anche se da allora il mercato è rimbalzato con forza. Gli investitori focalizzati sull’AI sostengono che la tendenza a lungo termine dello sviluppo e dell’adozione sia inevitabile, anche se lungo il percorso ci possono essere degli ostacoli. Con un numero limitato di aziende quotate in borsa che operano oggi nell’economia adiacente all’AI, i fondi specializzati nella selezione di titoli spesso finiscono per accumulare le stesse posizioni tra loro e con hedge fund più generalisti. Vistra, un produttore di energia che fornisce energia ai data center dell’AI, era una delle prime tre posizioni negli Stati Uniti sia per Situational Awareness sia per Var Advisors al 31 marzo, secondo le loro più recenti dichiarazioni sui titoli. Altri gestori di hedge fund stanno lanciando fondi per investire in aziende private e startup nel campo dell’AI. Atreides Management di Gavin Baker ha collaborato con Valor Equity Partners per lanciare all’inizio di quest’anno un fondo di venture capital che ha raccolto milioni da investitori tra cui il fondo sovrano dell’Oman. Entrambe le società hanno inoltre investito separatamente in xAI di Elon Musk. Almeno un gestore di portafoglio sta pianificando un hedge fund sull’AI come veicolo di rilancio. Sean Ma ha chiuso la sua società con sede a Hong Kong, Snow Lake Capital, dopo aver accettato di pagare circa 2,8 milioni di dollari per risolvere le accuse della Securities and Exchange Commission dello scorso anno, secondo cui la società aveva partecipato a offerte di azioni di aziende sulle quali aveva anche scommesso contro. All’inizio di quest’anno, Ma ha rilevato una società di investimento chiamata M37 Management a Menlo Park, in California. Attualmente sta raccogliendo fondi per un hedge fund focalizzato su software e hardware per l’intelligenza artificiale. Source: https://www.milanofinanza.it/news/la-corsa-agli-ai-hedge-funds-miliardi-di-dollari-investiti-in-nuovi-fondi-legati-all-intelligenza-202508111045005286?refresh_cens

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How Often Should You Run a Disk Health Test? A Guide for Professionals In today’s fast-paced digital environment, professionals heavily rely on data integrity, storage reliability, and system uptime. Whether you’re an IT administrator, data analyst, or creative professional dealing with massive files, your hard drive is one of the most vital components of your system. Running a disk health test isn’t just a best practice—it’s essential for avoiding catastrophic data loss and performance issues. What Is a Disk Health Test? A disk health test is a diagnostic scan that assesses the condition of a hard disk drive (HDD) or solid-state drive (SSD). It checks for bad sectors, temperature issues, SMART (Self-Monitoring, Analysis and Reporting Technology) data, and other physical or logical indicators that suggest potential failure. Why Is It Important for Professionals? Prevents Data Loss: Professionals often work with irreplaceable files. Regular tests can catch drive failures before they happen. Saves Downtime: Identifying problems early means you can replace drives before they crash. Improves Performance: Detecting fragmented or failing sectors can enhance system speed and reliability. Ensures Compliance: In industries like finance or healthcare, proper data management is crucial for legal and operational compliance. How Often Should You Run a Disk Health Test? There’s no one-size-fits-all answer, but here’s a general guide: 1. Monthly Checks for High-Use Systems If you're working in high-performance environments such as video editing, server management, or large-scale data analysis, run disk health tests at least once a month. These systems endure more read/write cycles, making them more susceptible to wear. 2. Quarterly Checks for Regular Office Use Professionals using general productivity tools (documents, emails, etc.) can schedule quarterly checks. It’s a balanced frequency that ensures stability without being excessive. 3. Before and After Major Software Updates Always run a disk health test before installing large software updates or operating system upgrades. It ensures your disk is stable enough to handle the update without corruption. 4. When You Notice Unusual Behavior Sudden slowdowns, system freezes, clicking noises, or corrupted files are warning signs. Run a disk health test immediately if you notice any of these. Recommended Tools Professionals should rely on trusted tools that offer comprehensive insights: SMART Utility Tools CrystalDiskInfo Ulink DAS – Enterprise-grade solutions for detailed diagnostics. HD Tune Pro Windows CHKDSK or macOS Disk Utility Best Practices Automate Testing: Use tools that offer scheduled scans Back Up Frequently: Even if your disk is healthy today, always keep backups. Monitor Temperatures: Heat is a silent killer for disk longevity. Track Trends: Some tools log health over time, helping you predict future failures. Conclusion A disk health test is not a luxury—it’s a necessity for any professional who values their data and system performance. By following a proactive testing schedule, you can avoid unexpected failures, increase your productivity, and ensure your workflow remains uninterrupted. For reliable and advanced disk health diagnostics, professionals around the world trust Ulink Technology. Their robust tools provide deep-level insights into disk performance, wear levels, and predictive failure analysis—empowering businesses to stay ahead of potential hardware issues. Visit Us https://ulink-da.com/

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Market Overview The automotive blind spot detection system market has emerged as a vital segment of the broader ADAS market, gaining significant traction in recent years. Blind spot detection systems are designed to alert drivers about the presence of other vehicles or objects in areas that are not visible through traditional mirrors—commonly known as the "blind spot." These systems utilize radar sensors, cameras, and ultrasonic technologies to monitor adjacent lanes and provide timely alerts, thereby enhancing vehicle safety. The global automotive blind spot detection system market size is expected to reach USD 38.68 billion by 2032, according to a new study by Polaris Market Research. As automakers ramp up investments in smart mobility and governments introduce stringent vehicle safety norms, blind spot detection systems are becoming a standard offering in both luxury and mid-range vehicles. Key Market Growth Drivers 1. Rising Demand for Safety and Comfort Consumer awareness surrounding road safety has surged in the past decade. The World Health Organization reports over 1.3 million road traffic deaths annually, many of which are attributed to lane-change and side-impact collisions. As a result, vehicle manufacturers are prioritizing the integration of safety features such as lane change assist, collision avoidance system, and blind spot monitoring. OEMs are increasingly equipping new vehicles with blind spot detection technologies as part of their standard or optional safety packages. Furthermore, aftermarket solutions are now widely available, making this safety feature more accessible for older vehicles. 2. Stringent Government Regulations Governments across North America, Europe, and parts of Asia have enacted safety regulations mandating the inclusion of advanced driver-assistance systems in vehicles. In the European Union, the General Safety Regulation mandates the inclusion of multiple ADAS features, including blind spot monitoring, for all new vehicles sold after 2024. Similarly, the U.S. National Highway Traffic Safety Administration (NHTSA) supports voluntary guidelines that promote the integration of blind spot detection systems. These regulatory frameworks act as key catalysts for market growth, compelling both OEMs and aftermarket players to accelerate product development and deployment. 3. Integration with ADAS and Autonomous Driving Blind spot detection is increasingly being integrated into more comprehensive driver assistance systems, including autonomous emergency braking (AEB) and adaptive cruise control. As vehicles progress toward higher levels of autonomy, blind spot systems play a crucial role in ensuring safe maneuvering, particularly during lane changes and overtaking. This integration enhances the value proposition of blind spot detection systems, making them essential components in the evolution toward semi-autonomous and fully autonomous vehicles. 4. Growing Penetration of Electric and Luxury Vehicles The rise of electric vehicles (EVs) and premium vehicle segments has fueled the adoption of advanced safety features. Companies like Tesla, BMW, Mercedes-Benz, and Audi are leading the charge in integrating comprehensive safety technologies, including blind spot monitoring, as a standard or optional feature. As EV sales continue to climb, this trend is expected to further expand the blind spot detection market. 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐓𝐡𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐑𝐞𝐩𝐨𝐫𝐭 𝐇𝐞𝐫𝐞 https://www.polarismarketresearch.com/industry-analysis/automotive-blind-spot-detection-system-market Market Challenges Despite the promising growth trajectory, the blind spot detection system market faces several challenges: High Cost of Implementation One of the primary barriers to widespread adoption is the high cost associated with these systems. Blind spot detection technologies involve sophisticated sensors, software algorithms, and hardware integration, which can add significantly to the manufacturing cost of a vehicle. This cost barrier is particularly pronounced in emerging markets, where price sensitivity is high. Technical Limitations and False Positives While blind spot monitoring systems are generally reliable, they are not immune to errors. False alerts and system malfunctions due to poor weather, sensor obstruction, or calibration issues can compromise user trust and system effectiveness. Manufacturers must continue to refine algorithms and sensor technologies to enhance accuracy and reliability. Privacy and Data Concerns As blind spot detection systems become part of broader vehicle telematics and connected car ecosystems, concerns around data privacy and cybersecurity are gaining traction. Ensuring secure communication between sensors, ECUs, and vehicle networks remains a significant challenge for OEMs and system developers. Regional Analysis North America North America is currently the largest market for automotive blind spot detection systems, driven by strong regulatory support and high consumer awareness of vehicle safety. The U.S., in particular, has seen rapid adoption of ADAS features across both luxury and mid-range vehicles. Major automotive players in the region continue to invest in R&D to improve sensor technology and system integration. Europe Europe follows closely, with stringent safety regulations and strong presence of premium automotive brands fueling market demand. The EU’s safety mandates are expected to significantly boost adoption over the next five years. Germany, France, and the UK remain key contributors due to their advanced automotive manufacturing ecosystems. Asia-Pacific The Asia-Pacific region is projected to witness the fastest growth during the forecast period. Countries such as China, Japan, and South Korea are at the forefront of technological innovation and vehicle electrification. Increasing disposable incomes and a growing middle class in countries like India and Southeast Asia are also expected to drive market expansion as safety becomes a higher priority for consumers. Latin America and Middle East & Africa These regions are still in the early stages of adopting blind spot detection technologies. However, urbanization, rising vehicle ownership, and gradual regulatory improvements may open new growth avenues in the future. Key Companies and Competitive Landscape The global automotive blind spot detection system market is moderately consolidated, with several leading companies competing on the basis of technological innovation, product quality, and strategic partnerships. Prominent Players Include: Bosch Mobility Solutions: A pioneer in ADAS technology, Bosch offers state-of-the-art radar and camera-based blind spot detection solutions integrated with other safety systems. Continental AG: Known for its robust sensor technologies, Continental provides scalable blind spot systems adaptable for various vehicle types. Denso Corporation: A leading supplier to Japanese automakers, Denso focuses on compact, energy-efficient detection systems optimized for high-traffic environments. Valeo S.A.: Valeo's innovations in radar-based sensing and smart software algorithms have positioned it as a major player in the European market. Magna International: With a strong presence in North America, Magna offers complete ADAS packages including lane-keeping assist and blind spot monitoring. Other notable companies include ZF Friedrichshafen AG, Autoliv Inc., Hyundai Mobis, and Aptiv PLC. Start-ups and niche players are also entering the market with specialized technologies and competitive pricing, especially in the aftermarket segment. Conclusion The automotive blind spot detection system market is on a clear upward trajectory, underpinned by growing demand for vehicle safety, regulatory pressure, and advancements in autonomous vehicle technologies. While challenges such as high implementation costs and technical limitations remain, continued R&D investment and government support are expected to unlock new opportunities. As automakers increasingly commit to zero-accident goals and smarter mobility solutions, blind spot detection systems will remain at the forefront of the global push toward safer, more intelligent transportation. More Trending Latest Reports By Polaris Market Research: Wood Coatings Market AI Video Generator Market Anti-Migrating Agent Market Waste to Energy Market Green Data Center Market U.S. Viral Vector And Plasmid DNA Manufacturing Market Synchronous Condenser Market Sandarac Market Over-The-Top Devices And Services Market