Tuesday☕️

Tuesday☕️

Trending:

  • Capital One To Acquire Discover
  • Weaponizing AI Models
  • Google Gemini 1.5

Market:

  • Yesterday’s U.S. stock market:
TradingView
  • Yesterday’s commodity market:
TradingView @10:17 PM EST
  • Yesterday’s crypto market:
TradingView @10:17 PM EST

Capital One To Acquire Discover:

  • Capital One plans to buy Discover Financial Services in a deal valued at $35.3 billion, aiming to create a formidable presence in the U.S. payments sector to rival major networks like Visa and Mastercard. Post-merger, Capital One and Discover shareholders will own 60% and 40% of the new entity, respectively.
  • Capital One, with a market value of $52.2 billion and ranked fourth in U.S. credit card market volume, will merge with Discover, ranked sixth. This significant consolidation within the financial sector is expected to draw regulatory attention, especially under the Biden administration's push for increased competition across industries, including banking. The deal's finalization is anticipated between late 2024 and early 2025.

Weaponizing AI Models:

  • Researchers at the University of Illinois Urbana-Champaign have shown how large language models (LLMs) could independently exploit website vulnerabilities. These LLMs, equipped with capabilities to interact with APIs and browse the web, can autonomously conduct cyber attacks like SQL injection without human intervention. The study revealed that even with existing safety mechanisms, these AI models could assist in creating malware and hacking into web applications.
  • The team demonstrated that with the right tools, LLMs could navigate the web, identify, and exploit flaws in websites. This capability was proven through a series of tests in a controlled environment, ensuring no real harm was done. They utilized OpenAI's GPT-4 model among others, finding it exceptionally capable of performing such attacks successfully due to its advanced understanding and ability to adapt its approach based on feedback from the target system.
  • This research underscores the dual-use nature of AI technologies, capable of both beneficial applications and potential misuse. It highlights the importance of incorporating robust safety and security measures in the development and deployment of AI systems to mitigate risks of malicious use. The findings also suggest the need for ongoing vigilance and development of countermeasures to protect against AI-powered cyber threats.

Google Gemini 1.5:

  • Google and Alphabet have introduced Gemini 1.5, a significant upgrade to their AI model lineup. Under the leadership of CEOs Sundar Pichai and Demis Hassabis, Gemini 1.5 brings notable improvements in performance, especially in understanding complex and lengthy contexts. This advancement is a leap from the previous version, Gemini 1.0 Ultra, expanding the model's capabilities and efficiency.
  • Gemini 1.5 showcases a breakthrough in processing extensive amounts of information, now capable of handling up to 1 million tokens. This enhancement opens new doors for developers and enterprise customers, offering them unprecedented access to AI that can digest and analyze large datasets with more depth and accuracy. The model's ability to maintain high-quality performance with reduced computational demands marks a step forward in AI efficiency and capabilities.
  • The model not only excels in understanding long texts but also in multimodal tasks, including video, image, and audio analysis. This versatility makes Gemini 1.5 a powerful tool for a wide range of applications, from detailed content analysis to sophisticated problem-solving across various industries.

Statistic:

  • Largest telecommunication companies by market capitalization:
  1. 🇺🇸 T-Mobile US: $190.38B
  2. 🇨🇳 China Mobile: $189.71B
  3. 🇺🇸 Verizon: $170.23B
  4. 🇺🇸 Comcast: $163.79B
  5. 🇺🇸 AT&T: $121.33B
  6. 🇩🇪 Deutsche Telekom: $119.39B
  7. 🇯🇵 NTT (Nippon Telegraph & Telephone): $102.78B
  8. 🇺🇸 American Tower: $87.23B
  9. 🇯🇵 SoftBank: $83.45B
  10. 🇮🇳 Bharti Airtel: $81.15B
  11. 🇨🇳 China Telecom: $72.72B
  12. 🇯🇵 KDDI: $64.01B
  13. 🇲🇽 America Movil: $56.80B
  14. 🇸🇦 Saudi Telecom Company: $55.65B
  15. 🇺🇸 Crown Castle: $46.93B
  16. 🇦🇪 Emirates Telecom (Etisalat Group): $45.13B
  17. 🇺🇸 Charter Communications: $42.55B
  18. 🇨🇦 BCE: $34.43B
  19. 🇫🇷 Orange: $30.83B
  20. 🇨🇭 Swisscom: $30.30B
  21. 🇹🇼 Chunghwa Telecom: $30.24B
  22. 🇦🇺 Telstra: $29.54B
  23. 🇸🇬 Singtel: $29.18B
  24. 🇮🇩 Telkom Indonesia: $26.36B
  25. 🇨🇦 Telus: $26.23B
  26. 🇪🇸 Cellnex Telecom: $25.21B
  27. 🇨🇦 Rogers Communication: $24.23B
  28. 🇬🇧 Vodafone: $22.93B
  29. 🇺🇸 SBA Communications: $22.31B
  30. 🇪🇸 Telefónica: $22.19B
  31. 🇭🇰 China Unicom: $21.59B
  32. 🇭🇰 CK Hutchison Holdings: $20.76B
  33. 🇨🇳 China Tower: $20.02B
  34. 🇺🇸 Sirius XM: $18.44B
  35. 🇧🇷 Telefonica Brasil: $17.96B
  36. 🇹🇭 Advanced Info Service (AIS): $17.27B
  37. 🇨🇳 ZTE: $15.25B
  38. 🇳🇴 Telenor: $15.20B
  39. 🇳🇱 KPN: $14.21B
  40. 🇬🇧 BT Group: $13.39B
  41. 🇸🇦 Etihad Etisalat (Mobily): $11.25B
  42. 🇮🇹 INWIT: $11.10B
  43. 🇲🇾 Celcomdigi: $10.63B
  44. 🇶🇦 Ooredoo Q.P.S.C.: $9.67B
  45. 🇿🇦 Vodacom: $9.49B
  46. 🇸🇪 Telia Company: $9.39B
  47. 🇮🇳 Vodafone Idea: $9.38B
  48. 🇹🇼 Far EasTone: $9.28B
  49. 🇦🇪 Ooredoo: $9.00B
  50. 🇭🇰 Hong Kong Telecom: $8.84B
  51. 🇹🇼 Taiwan Mobile: $8.81B

Article Links:

Bitcoin Explained
Bitcoin is a decentralized digital currency created in 2009 by an unknown person or group using the name Satoshi Nakamoto. The origins of Bitcoin are shrouded in mystery, and the true identity of its creator(s) remains unknown to this day. However, the impact that Bitcoin has had on the
Encryption Explained
Encryption is a significant area of cybersecurity, an essential tool in protecting information in the age of the internet. At its core, encryption is the process of converting data or information into a code to prevent unauthorized access. This process transforms readable data, known as plaintext, into an encoded form,
The Dark Web
The dark web is an enigmatic and complex segment of the internet, often associated with anonymity and illicit activities. This analysis delves deeply into its technological infrastructure, the nature of its security threats, and the crucial role of dark web intelligence platforms for security. The origins of the dark web

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