AI boom

Source: Wikipedia, the free encyclopedia.

Not to be confused with AI era.
Time Magazine cover featuring a ChatGPT conversation; mechanical dove image created in Midjourney; AlphaFold
2 performance, experiments, and architecture.
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Glossary

The AI boom,[1][2] or AI spring,[3][4] is an ongoing period of rapid progress in the field of artificial intelligence (AI). Prominent examples include protein folding prediction led by Google DeepMind and generative AI led by OpenAI.

History

In 2012, a

large language models saw increased usage in chatbot applications; text-to-image-models could generate images that appeared to be human-made;[13] and speech synthesis software was able to replicate human speech efficiently.[14]

According to metrics from 2017 to 2021, the United States outranks the rest of the world in terms of venture capital funding, the number of startups, and patents granted in AI.[15][16] Scientists who have immigrated to the U.S. play an outsize role in the country's development of AI technology.[17][18] Many of them were educated in China, prompting debates about national security concerns amid worsening relations between the two countries.[19]

Experts have framed AI development as a competition for economic and geopolitical advantage between the United States and China.[20] In 2021, an analyst for the Council on Foreign Relations outlined ways that the U.S. could maintain its position amid progress made by China.[21][22] In 2023, an analyst at the Center for Strategic and International Studies advocated for the U.S. to use its dominance in AI technology to drive its foreign policy instead of relying on trade agreements.[15]

Advances

See also: Deepfake and Progress in artificial intelligence

Biomedical

There have been proposals to use AI to advance radical forms of human life extension.[23]

The AlphaFold 2 score of more than 90 in CASP's global distance test (GDT) is considered a significant achievement in computational biology[24] and great progress towards a decades-old grand challenge of biology.[25] Nobel Prize winner and structural biologist Venki Ramakrishnan called the result "a stunning advance on the protein folding problem",[24] adding that "It has occurred decades before many people in the field would have predicted."[26][27]

The ability to predict protein structures accurately based on the constituent amino acid sequence is expected to accelerate drug discovery and enable a better understanding of diseases.[25][28][29] It went on to note that the AI algorithm could "predict the shape of proteins to within the width of an atom."[29]

Images and videos

An image generated by Stable Diffusion based on the text prompt "a photograph of an astronaut riding a horse"

Text-to-image models captured widespread public attention when OpenAI announced

transformer system, in January 2021.[30] A successor capable of generating complex and realistic images, DALL-E 2, was unveiled in April 2022.[31] An alternative text-to-image model, Midjourney, was released in July 2022.[32] Another alternative, open-source model Stable Diffusion, released in August 2022.[33]

Following other text-to-image models,

text-to-video platforms such as OpenAI's Sora, DAMO,[34] Make-A-Video,[35] Imagen Video[36] and Phenaki[37] can generate video from text as well as image prompts.[38]

Language

GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text.[39] The tool has been credited with spurring and accelerating the A.I. boom following its release.[40][41][42] An upgraded version called GPT-3.5 was used in ChatGPT, which later garnered attention for its detailed responses and articulate answers across many domains of knowledge.[43] A new version called GPT-4 was released on March 14, 2023, and was used in the Microsoft Bing search engine.[44][45] Other language models have been released, such as PaLM and Gemini by Google and LLaMA by Meta Platforms.

In January 2023,

DeepL Write, an AI-based tool to improve monolingual texts, was released.[46] In December 2023, Gemini, the latest model by Google, was unveiled, claiming to beat previous state-of-the-art-model GPT-4 on most benchmarks.[47]

Music and voice

In 2016, Google DeepMind unveiled WaveNet, a deep learning network that produced English, Mandarin, and piano music.[48] ElevenLabs allowed users to upload voice samples and create audio that sounds similar to the samples. The company was criticized[by whom?] after controversial[among whom?] statements were generated based on the vocal styles of celebrities, public officials, and other famous individuals,[49] raising concerns[among whom?] that the technology could make deepfakes even more convincing.[50] An unofficial song created using the voices of musicians Drake and The Weeknd raised questions[among whom?] about the ethics and legality of similar software.[51]

Impact

The AI boom may have a profound cultural, philosophical,[52] religious,[53] economic,[54] and social impact,[55] as questions such as AI alignment,[56] qualia,[52] and the development of artificial general intelligence (AGI)[56] became widely prominent topics of popular discussion.[57]

Cultural

During the AI boom, different groups emerged, ranging from ones who want to accelerate AI development as quickly as possible to those that are more concerned about AI safety and would like to "decelerate".[58]

Dominance by tech giants

The commercial AI scene is dominated by American

innovator's dilemma-like replacement for Google Search. The company merged DeepMind and Google Brain, a rival internal unit, to accelerate its AI research.[63]

Intellectual property

Tech companies such as Meta, OpenAI and Nvidia have been sued by artists, writers, journalists, and software developers for using their work to train AI models.[64][65] Early generative AI chatbots, such as the GPT-1, used the BookCorpus, and books are still the best source of training data for producing high-quality language models. ChatGPT aroused suspicion that its sources included libraries of pirated content after the chatbot produced detailed summaries of every part of Sarah Silverman's The Bedwetter and verbatim excerpts of paywalled content from The New York Times.[66][67]

Economic

The

market cap of Nvidia, whose GPU hardware is in high demand to train and use generative AI models, rose to over US$2.2 trillion, making it the world's third-largest company by market cap as of March 2024.[68]

Business

AI and, more generally, machine learning are exponentially improving in line with Moore’s law, making them more efficient than humans in specific tasks such as cancer detection. In business, machine learning resources, hardware or software can be bought and licensed off-the-shelf or as cloud platform services. [69]This enables wide and publicly available uses, spreading AI skills expeditiously. [70] Over half of businesses consider AI to be a top organizational priority and to be the most crucial technological advancement in many decades.[71]

Across industries, generative AI tools are becoming widely available through the AI boom and are increasingly utilized in businesses across seniority and regional levels. [72] A main area of use is data analytics. Seen as an incremental change, machine learning improves industry performances. [73] Businesses report AI to be most useful in reaching the valued objectives of increased process efficiency, improved decision-making and strengthening of existing services and products. [74]Through adoption, AI has already positively influenced revenue generation in multiple business functions. If adopted, businesses have experienced revenue increases of up to 16%, mainly in manufacturing, risk management and research and development functions. [75] However, the main monetary gains are generated by so-called “tech giants.” Their infrastructural advantage on “big data”, such as cloud services and AI chips, enables an increasingly dominating market presence. Mainly, Amazon and Microsoft experience above-normal revenues. [76] Further, “big tech” remains at the forefront of production and consumption, providing the foundation for other commercial and private users. They encompass AI production, the necessary infrastructure and AI consumption. [77]

With these positive developments, inaccuracy, cybersecurity and intellectual property infringement are considered to be the main risks associated with the boom, although not many actively attempt to mitigate the risk. [78]

AI and generative AI investments have been increasing with the boom since 2014, increasing from 18 Billion to 119 Billion in 2021. Most notably, the share of generative AI investments was around 30% in 2023. [79] Further, Generative AI businesses have seen considerable venture capital investments even though regulatory and economic outlooks remain dubious. [80]

Concerns

AI has the potential to be applied in various fields, including in education,[81] healthcare,[82] and transportation. Sam Altman, CEO of OpenAI, has stated that AI "will be the most tremendous leap forward in quality of life for people that we've had", an aspect that "somehow gets lost from the discussion".[83] But as a dual-use technology, AI also carries risks of misuse by malicious actors. Numerous safety concerns have been expressed.[84] AI is expected by researchers of the Center for AI Safety to improve the "accessibility, success rate, scale, speed, stealth and potency of cyberattacks", potentially causing "significant geopolitical turbulence" if it reinforces attack more than defense.[84][85] Concerns have been raised about the potential capability of future AI systems to engineer particularly lethal and contagious pathogens.[86][87] The ability to generate convincing, personalized messages as well as realistic images may facilitate large-scale misinformation, manipulation, and propaganda.[88] Industry leaders have further warned in the statement on AI risk of extinction that humanity might irreversibly lose control over a sufficiently advanced artificial general intelligence.[89]

Rapid progress in artificial intelligence has also sparked interest in whether some future AI systems will be sentient or otherwise worthy of moral consideration,[90] and whether they should be granted rights.[91]

The AI boom is said to have started an arms race in which large companies are competing against each other to have the most powerful AI model on the market, with speed and profit prioritized over safety and user protection.[92][93] Large language models have been criticized for reproducing biases inherited from their training data, including discriminatory biases related to ethnicity or gender.[94] As AI becomes more sophisticated, it may eventually become cheaper and more efficient than human workers, which could cause technological unemployment and a transition period of economic turmoil.[95][11] Public reaction to the AI boom has been mixed, with some hailing the new possibilities that AI creates, its sophistication and potential for benefiting humanity;[96][97] while others denounced it for threatening job security,[98][99] and for giving 'uncanny' or flawed responses.[100]

The perceived race mindset among major AI companies like OpenAI, Google or Meta may potentially increase the risks associated with the development of artificial general intelligence.[92] While competition can foster innovation and progress, an intense race to outperform rivals may encourage the prioritization of short-term gains over long-term safety.[101]

Several incidents involving sharing of non-consensual deepfake pornography were noted. In late January 2024, deepfake images of American musician Taylor Swift proliferated. Several experts have warned that it's faster and more accessible, due to the relative ease of using the technology.[102] Canada introduced legislation at the federal level targeting sharing of non-consensual sexually explicit AI-generated photos, several provinces had already previously targeted this.[103] In the United States, the DEFIANCE Act of 2024 was introduced.[104]

See also

References

  1. ISSN 1059-1028
    . Retrieved December 12, 2023.
  2. ^ Meredith, Sam (December 6, 2023). "A 'thirsty' generative AI boom poses a growing problem for Big Tech". CNBC. Retrieved December 12, 2023.
  3. ^ Bommasani, Rishi (March 17, 2023). "AI Spring? Four Takeaways from Major Releases in Foundation Models". Stanford Institute for Human-Centered Artificial Intelligence. Archived from the original on May 7, 2023. Retrieved May 16, 2023.
  4. ^ "The coming of AI Spring". www.mckinsey.com. Retrieved December 7, 2023.
  5. ^ "The data that transformed AI research—and possibly the world". Quartz. July 26, 2017.
  6. ^ Lohr, Steve (November 30, 2017). "A.I. Will Transform the Economy. But How Much, and How Soon?". The New York Times.
  7. ^ "Everything You Need To Know About The Artificial Intelligence Boom". Nasdaq.com. Investing Daily. August 22, 2018.
  8. ^ "Why am I not terrified of AI?". Shtetl-Optimized. March 6, 2023. Archived from the original on May 12, 2023. Retrieved March 19, 2023.
  9. ^ Statt, Nick (December 12, 2018). "The AI boom is happening all over the world, and it's accelerating quickly". The Verge.
  10. ^ Wong, Matteo (December 11, 2023). "Science Is Becoming Less Human". The Atlantic. Retrieved December 12, 2023.
  11. ^ a b Lohr, Steve (November 30, 2017). "A.I. Will Transform the Economy. But How Much, and How Soon?". The New York Times.
  12. ^ "Nine charts that really bring home just how fast AI is growing". MIT Technology Review.
  13. ^ Vincent, James (May 24, 2022). "All these images were generated by Google's latest text-to-image AI". The Verge. Archived from the original on February 15, 2023. Retrieved March 15, 2023.
  14. ^ Cox, Joseph (January 31, 2023). "AI-Generated Voice Firm Clamps Down After 4chan Makes Celebrity Voices for Abuse". Vice. Archived from the original on May 7, 2023. Retrieved March 15, 2023.
  15. ^ a b Frank, Michael (September 22, 2023). "US Leadership in Artificial Intelligence Can Shape the 21st Century Global Order". The Diplomat. Retrieved December 8, 2023.
  16. ^ "Global AI Vibrancy Tool". Artificial Intelligence Index. Stanford, California: Stanford University.
  17. ^ Gold, Ashley (June 27, 2023). "Exclusive: Immigrants play outsize role in the AI game". Axios. Retrieved December 12, 2023.
  18. ^ Ellis, Lindsay (October 23, 2023). "Dropping Out of College to Join the AI Gold Rush". WSJ (Wall Street Journal). New York, New York. Retrieved December 12, 2023.
  19. ^ Mozur, Paul; Metz, Cade (June 9, 2020). "A U.S. Secret Weapon in A.I.: Chinese Talent". The New York Times.
  20. ^ "What Is Artificial Intelligence (AI)?". Council on Foreign Relations.
  21. ^ "Lauren A. Kahn | Council on Foreign Relations". January 3, 2022. Archived from the original on January 3, 2022.
  22. ^ Kahn, Lauren (October 28, 2021). "U.S. Leadership in Artificial Intelligence Is Still Possible". Council on Foreign Relations.
  23. ^ Batin, Michael; Turchin, Alexey; Markov, Sergey; Zhila, Alisa; Denkenberger, David (December 1, 2017). "Artificial intelligence in life extension: From deep learning to superintelligence". Informatica.
  24. ^
    Science
    , 30 November 2020.
  25. ^
    S2CID 227243204
    .
  26. ^ "AlphaFold: a solution to a 50-year-old grand challenge in biology". Deepmind. November 30, 2020. Retrieved November 30, 2020.
  27. ^ Nerlich, Brigitte (December 4, 2020). "Protein folding and science communication: Between hype and humility". Making Science Public. Retrieved February 29, 2024.
  28. ^ Hubbard, Tim (December 7, 2020). "The secret of life, part 2: the solution of the protein folding problem". Medium. Retrieved February 29, 2024.
  29. ^ a b "DeepMind's protein-folding AI has solved a 50-year-old grand challenge of biology". MIT Technology Review. Retrieved November 30, 2020.
  30. ^ Coldewey, Devin (January 5, 2021). "OpenAI's DALL-E creates plausible images of literally anything you ask it to". TechCrunch. Archived from the original on January 6, 2021. Retrieved March 15, 2023.
  31. ^ Coldewey, Devin (April 6, 2022). "New OpenAI tool draws anything, bigger and better than ever". TechCrunch. Archived from the original on May 6, 2023. Retrieved March 15, 2023.
  32. ^ Pandey, Mohit (July 22, 2023). "One Year of Midjourney: A Psychedelic Image Generator to Realistic Photo Album". Analytics India Magazine. Retrieved February 1, 2024.
  33. ^ "Stable Diffusion Public Release". Stability AI. Archived from the original on August 30, 2022. Retrieved March 15, 2023.
  34. ^ "ModelScope 魔搭社区". modelscope.cn. Archived from the original on May 9, 2023. Retrieved March 20, 2023.
  35. ^ kumar, Ashish (October 3, 2022). "Meta AI Introduces 'Make-A-Video': An Artificial Intelligence System That Generates Videos From Text". MarkTechPost. Archived from the original on December 1, 2022. Retrieved March 15, 2023.
  36. ^ Edwards, Benj (October 5, 2022). "Google's newest AI generator creates HD video from text prompts". Ars Technica. Archived from the original on February 7, 2023. Retrieved October 25, 2022.
  37. ^ "Phenaki". phenaki.video. Archived from the original on October 7, 2022. Retrieved October 3, 2022.
  38. ^ Edwards, Benj (September 9, 2022). "Runway teases AI-powered text-to-video editing using written prompts". Ars Technica. Archived from the original on January 27, 2023. Retrieved September 12, 2022.
  39. ^ Sagar, Ram (June 3, 2020). "OpenAI Releases GPT-3, The Largest Model So Far". Analytics India Magazine. Archived from the original on August 4, 2020. Retrieved March 15, 2023.
  40. ISSN 0362-4331
    . Retrieved February 21, 2024.
  41. ISSN 0362-4331
    . Retrieved February 21, 2024.
  42. ^ "OpenAI rival says AI tech needs more Asia localization". Nikkei Asia. Retrieved February 21, 2024.
  43. ISSN 0261-3077. Archived
    from the original on January 16, 2023. Retrieved March 15, 2023.
  44. ^ Lardinois, Frederic (March 14, 2023). "Microsoft's new Bing was using GPT-4 all along". TechCrunch. Archived from the original on March 15, 2023. Retrieved March 15, 2023.
  45. ^ Derico, Ben; Kleinman, Zoe (March 14, 2023). "OpenAI announces ChatGPT successor GPT-4". BBC News. Archived from the original on May 15, 2023. Retrieved March 15, 2023.
  46. ^ Ziegener, Daniel (January 17, 2023). "DeepL Write: Brauchen wir jetzt noch eine menschliche Lektorin?". Golem.de. Archived from the original on February 6, 2023. Retrieved March 15, 2023.
  47. ^ "Gemini". DeepMind. Retrieved December 8, 2023.
  48. ^ Robertson, Adi (September 9, 2016). "Google's DeepMind AI fakes some of the most realistic human voices yet". The Verge.
  49. ^ Jimenez, Jorge (January 31, 2023). "AI company promises changes after 'voice cloning' tool used to make celebrities say awful things". PC Gamer. Archived from the original on April 4, 2023. Retrieved February 3, 2023.
  50. ^ Chopra, Anuj; Salem, Saladin (February 1, 2023). "Seeing is believing? Global scramble to tackle deepfakes". Yahoo News. Archived from the original on February 3, 2023. Retrieved March 15, 2023.
  51. ISSN 0362-4331. Archived
    from the original on May 15, 2023. Retrieved May 16, 2023.
  52. ^ a b Huckins, Grace (October 16, 2023). "Minds of machines: The great AI consciousness conundrum". MIT Technology Review. Retrieved December 12, 2023.
  53. ^ Robertson, Derek (July 18, 2023). "The religious mystery of AI". POLITICO. Retrieved December 12, 2023.
  54. ISSN 0362-4331
    . Retrieved December 12, 2023.
  55. PMID 32424119
    .
  56. ^ a b Tong, Anna; Dastin, Jeffrey; Hu, Krystal (November 23, 2023). "OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say". Reuters. Retrieved December 12, 2023.
  57. ISSN 0261-3077
    . Retrieved December 12, 2023.
  58. ISSN 0362-4331
    . Retrieved December 11, 2023.
  59. ^ Hammond, George (December 27, 2023). "Big Tech is spending more than VC firms on AI startups". Ars Technica. Archived from the original on January 10, 2024.
  60. ^ Wong, Matteo (October 24, 2023). "The Future of AI Is GOMA". The Atlantic. Archived from the original on January 5, 2024.
  61. ^ "Big tech and the pursuit of AI dominance". The Economist. March 26, 2023. Archived from the original on December 29, 2023.
  62. ^ Fung, Brian (December 19, 2023). "Where the battle to dominate AI may be won". CNN Business. Archived from the original on January 13, 2024.
  63. ^ Kantrowitz, Alex (March 29, 2004). "Can Demis Hassabis Save Google?". Big Technology. Retrieved March 29, 2024.
  64. ^ Kafka, Peter (February 1, 2023). "The AI boom is here, and so are the lawsuits". Vox. Archived from the original on May 9, 2023. Retrieved March 15, 2023.
  65. ^ Broersma, Matthew (March 12, 2024). "Nvidia Sued By Authors For Training AI With Copyrighted Works". Silicon UK.
  66. ^ "Sarah Silverman and novelists sue ChatGPT-maker OpenAI for ingesting their books". AP News. July 12, 2023.
  67. ^ Morales, James (January 3, 2024). "Journalism Fights Back". CCN.com.
  68. ^ Sommer, Jeff (March 15, 2024). "If Nvidia Keeps Rising Like This, It Will Be Bigger Than the Global Economy". The New York Times. Archived from the original on March 19, 2024. Retrieved March 28, 2024.
  69. ISSN 0017-8012
    . Retrieved April 23, 2024.
  70. ISSN 0017-8012
    . Retrieved April 23, 2024.
  71. ^ "2023: Time to Act". Wavestone. Retrieved April 23, 2024.
  72. ^ "The state of AI in 2023: Generative AI's breakout year | McKinsey". www.mckinsey.com. Retrieved April 23, 2024.
  73. ISBN 1633693732.{{cite book}}: CS1 maint: date and year (link
    )
  74. ^ "Becoming an AI-fueled organization, State of AI in the Enterprise, 4th Edition". Deloitte Insights. Retrieved April 23, 2024.
  75. ^ "The state of AI in 2023: Generative AI's breakout year | McKinsey". www.mckinsey.com. Retrieved April 23, 2024.
  76. ^ "Infographic: Microsoft and Amazon Dominate the Cloud". Statista Daily Data. July 26, 2023. Retrieved April 23, 2024.
  77. ISSN 2333-2050
    .
  78. ^ "The state of AI in 2023: Generative AI's breakout year | McKinsey". www.mckinsey.com. Retrieved April 23, 2024.
  79. ^ "1.1 Generative AI stats on fundraising for AI companies by year (Copy) (update)". datawrapper.dwcdn.net. Retrieved April 23, 2024.
  80. ^ Se & Ansari, Ksenia & Tasmia (November 3, 2023). "Jasper AI: A dilemma of a thin wrapper".
  81. ^ Sloyan, Tigran (January 2, 2024). "Generative AI: Transforming education into a personalized, addictive learning experience". TechCrunch. Retrieved February 4, 2024.
  82. ^ Ramraj, Anupriya (December 4, 2023). "Transforming Healthcare With Generative AI". Forbes. Retrieved February 4, 2024.
  83. ISSN 0261-3077
    . Retrieved February 4, 2024.
  84. ^
    arXiv:2306.12001 [cs.CY
    ].
  85. ^ Ortiz, Sabrina (November 9, 2023). "Watch out: Generative AI will level up cyber attacks, according to new Google report". ZDNET. Retrieved February 4, 2024.
  86. ^ Sankaran, Vishwam (September 7, 2023). "AI can help generate synthetic viruses and spark pandemics, warns ex-Google executive". The Independent. Retrieved February 4, 2024.
  87. ^ Piper, Kelsey (June 21, 2023). "How AI could spark the next pandemic". Vox. Retrieved March 23, 2024.
  88. ISSN 0190-8286
    . Retrieved February 4, 2024.
  89. ISSN 0362-4331
    . Retrieved February 4, 2024.
  90. ^ Kateman, Brian (July 24, 2023). "AI Should Be Terrified of Humans". Time. Retrieved February 4, 2024.
  91. ^ Akst, Daniel (April 10, 2023). "Should Robots With Artificial Intelligence Have Moral or Legal Rights?". The Wall Street Journal.
  92. ^ a b Chow, Andrew R.; Perrigo, Billy (February 17, 2023). "The AI Arms Race Is Changing Everything". Time.
  93. ^ "A Race to Extinction: How Great Power Competition Is Making Artificial Intelligence Existentially Dangerous". Harvard International Review. September 8, 2023. Retrieved March 23, 2024.
  94. ^ Knapton, Ken. "Council Post: Navigating The Biases In LLM Generative AI: A Guide To Responsible Implementation". Forbes. Retrieved March 23, 2024.
  95. ^ "The AI boom: lessons from history". The Economist.
  96. ISSN 0017-8012
    . Retrieved June 20, 2023.
  97. ^ Sukhadeve, Ashish (February 9, 2021). "Council Post: Artificial Intelligence For Good: How AI Is Helping Humanity". Forbes. Archived from the original on May 9, 2023. Retrieved May 16, 2023.
  98. ^ "Could AI advancements be a threat to your job security?". Learning People. Archived from the original on May 9, 2023. Retrieved May 16, 2023.
  99. ^ Zinkula, Jacob; Mok, Aaron (June 4, 2023). "ChatGPT may be coming for our jobs. Here are the 10 roles that AI is most likely to replace". Business Insider. Archived from the original on May 9, 2023. Retrieved May 16, 2023.
  100. ^ McKendrick, Joe (May 17, 2020). "No matter how sophisticated, artificial intelligence systems still need human oversight". ZDNET. Archived from the original on May 10, 2023. Retrieved May 16, 2023.
  101. ^ "Avoiding Extreme Global Vulnerability as a Core AI Governance Problem". AI Safety Fundamentals. BlueDot Impact. November 8, 2022. Archived from the original on January 16, 2024. Retrieved December 8, 2023.
  102. ^ Charlebois, Brieanna (February 3, 2024). "AI makes deepfake pornography more accessible, as Canadian laws play catch-up". CBC News. Archived from the original on March 10, 2024. Retrieved March 10, 2024.
  103. ^ "Liberals intend to include sexually explicit deepfakes under online harms bill". CTVNews. February 7, 2024. Retrieved March 10, 2024.
  104. ^ "AOC's Plan to End Deepfake Porn". Yahoo News. March 5, 2024. Retrieved March 11, 2024.
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