Tiger Research: Seandainya Saya Pendiri Kaito, Bagaimana Saya Akan Mengambil Keputusan Menghadapi Perubahan InfoFi?

marsbitPublished on 2026-01-20Last updated on 2026-01-20

Abstract

Laporan Tiger Research membahas dampak drastis perubahan kebijakan API X (Twitter) terhadap ekosistem InfoFi, yang menyebabkan keruntuhan proyek seperti Kaito dalam tiga hari. Sebagai respons, dipaparkan lima opsi strategis bagi pendiri InfoFi: menutup operasi, beralih ke platform bounty, mengadopsi model sponsor ala Korea, ekspansi ke multi-platform (seperti YouTube/TikTok), atau menjadi manajemen KOL ala MCN. Masa depan InfoFi 2.0 akan lebih terkontrol dan berfokus pada kualitas konten, bukan skalabilitas terbuka. Namun, tantangan utama tetap ada: merancang insentif yang adil dan membuktikan nilai intrinsik token, setelah insentif finansial sebelumnya memicu konten spam dan kehilangan kepercayaan investor.

Laporan ini ditulis oleh Tiger Research. Perubahan kebijakan API platform X yang drastis menyebabkan keruntuhan instan ekosistem InfoFi. Sebagai proyek terdepan di industri, jika saya adalah pendiri Kaito, jalur transformasi apa yang layak dipertimbangkan pada titik ini?

Poin Inti

  • Runtuhnya Ekosistem dalam Tiga Hari: Penyesuaian kebijakan platform X menghancurkan ekosistem InfoFi hanya dalam tiga hari, sepenuhnya mengekspos kerapuhan struktural proyek Web3 yang terlalu bergantung pada platform terpusat.
  • Lima Jalur Kelangsungan Hidup: Proyek InfoFi saat ini menghadapi lima pilihan: menutup sepenuhnya, bertransformasi menjadi platform hadiah (bounty), mengadopsi model sponsor ala Korea, ekspansi multi-platform, atau berevolusi menjadi manajemen model KOL ala MCN.
  • Evolusi InfoFi 2.0: Model masa depan akan lebih canggih dan terkendali, beralih dari "skalabilitas tanpa izin" ke "kolaborasi berkualitas tinggi yang diaudit".
  • Tantangan Mendasar: Membangun sistem kompensasi insentif yang adil dan membuktikan kembali nilai intrinsik token tetap menjadi jurang yang harus diseberangi oleh industri.

1. "Keruntuhan" InfoFi dalam Tiga Hari

Sumber: X(@nikitabier)

Pada 15 Januari, kepala produk platform X, Nikita Bier, merilis pengumuman singkat yang dengan jelas menyatakan bahwa aplikasi yang menginduksi pengguna untuk memposting melalui hadiah tidak lagi diizinkan beroperasi di platform. Bagi lanskap InfoFi, ini sama dengan vonis "hukuman mati".

Berdasarkan garis waktu yang diungkapkan oleh pendiri Kaito, Yu Hu, peristiwa berkembang sebagai berikut:

  • 13 Januari: Kaito menerima email dari platform X, mengisyaratkan kemungkinan peninjauan dan meminta klarifikasi.
  • 14 Januari: Platform X mengirim pemberitahuan hukum formal, Kaito mengajukan tanggapan hukum pada hari yang sama.
  • 15 Januari: Pernyataan resmi dirilis secara publik, Kaito dan seluruh industri mengetahui keputusan akhir secara bersamaan.

Reaksi pasar sangat keras, harga $KAITO menyusut drastis. Komunitas menuduh tim, meski mengklaim telah memiliki rencana cadangan, gagal memberikan peringatan dini. Kaito kemudian merilis pernyataan darurat, menjelaskan bahwa mereka sebelumnya telah berulang kali menyelesaikan sengketa serupa melalui jalur hukum, sehingga salah menilai ruang negosiasi untuk peristiwa ini.

Pelajaran: Keputusan tunggal dari satu perusahaan terpusat mengakhiri satu kategori Web3 yang muncul hanya dalam tiga hari. Realita di mana "hak hidup dan mati" berada di tangan orang lain ini membuat seluruh ekosistem merasa tercekik.

2. Jika Saya Sekarang adalah Pendiri InfoFi

Apakah ini berarti InfoFi telah memasuki jalan buntu? Proyek seperti Kaito telah mempersiapkan rencana pengembangan selanjutnya. Namun, yang dibutuhkan saat ini bukanlah kelanjutan dari jalur lama, tetapi versi "InfoFi 2.0" yang sangat berbeda.

Jika saya adalah pendiri proyek InfoFi seperti Kaito, pilihan praktis apa yang sebenarnya tersedia sekarang? Dengan meninjau jalur maju potensial ini, kita dapat mulai menggambarkan轮廓 tahap selanjutnya dari InfoFi.

2.1 Menutup Sepenuhnya

Ini adalah pilihan paling sederhana dan langsung: menghentikan operasi sebelum dana benar-benar habis. Pada kenyataannya, banyak proyek kecil dan menengah mungkin memasuki "fase zombie" — pada dasarnya tidak aktif, sesekali memposting pembaruan media sosial, lalu perlahan menghilang dari pandangan publik.

Karena "Kecocokan Produk dengan Pasar" (PMF) yang sebelumnya dibangun di sekitar platform X sekarang hilang, memilih untuk menutup mungkin lebih realistis daripada terus membakar uang untuk mencari arah baru yang samar. Jika proyek masih memegang aset data yang dapat digunakan, mereka dapat menjual aset ini ke perusahaan lain untuk mendapatkan kembali sebagian nilai sisa. Oleh karena itu, sebagian besar proyek InfoFi yang lebih kecil kemungkinan akan memilih jalan ini.

2.2 Platform Pendanaan Berbasis Hadiah (Bounty)

Jika tidak dapat lagi mengakses API X, pilihan lain adalah kembali ke model bisnis yang lebih awal: KOL langsung mengajukan aktivitas terkait, mengirimkan konten, dan setelah melalui审核 manual, menerima hadiah.

Sumber: Scribble

Model yang diwakili oleh Scribble adalah contoh tipikal. Penyedia proyek memposting tugas pendanaan dalam bentuk hadiah, KOL membuat dan mengirimkan konten untuk ditinjau oleh platform, dan mendapatkan bayaran setelah disetujui. Ini adalah model "kirim dulu, tinjau kemudian", bukan pelacakan real-time yang bergantung pada API.

Struktur ini dapat diskalakan sebagai platform terbuka: platform hanya menyediakan perantara pemadanan dan infrastruktur, sementara masing-masing penyedia proyek mengelola kampanye mereka sendiri. Saat lebih banyak proyek berpartisipasi, kolam KOL juga akan berkembang; dan pertumbuhan basis KOL, pada gilirannya, memberikan lebih banyak pilihan bagi penyedia proyek. Kelemahannya adalah KOL menghadapi ketidakpastian yang sangat besar — jika konten yang dikirimkan ditolak, waktu dan usaha yang diinvestasikan menjadi sia-sia. Setelah beberapa kali kegagalan, KOL berkualitas kemungkinan akan meninggalkan platform.

2.3 Model Blog Sponsor Ala Korea

Model blog sponsor Korea mengikuti metode "pilih dulu, kelola kemudian", bukan审核 setelahnya. Lembaga seperti Revu telah menggunakan model ini selama lebih dari sepuluh tahun.

Alurnya sangat jelas: penyedia proyek menetapkan target jumlah peserta dan meluncurkan kampanye, pelamar mengajukan aplikasi, dan penyedia proyek memilih KOL yang sesuai berdasarkan data seperti jumlah pengikut, kinerja masa lalu, dll. KOL yang terpilih menerima panduan pembuatan konten yang jelas, dan konten yang diposting kemudian ditinjau oleh staf operasional. Jika tidak memenuhi standar, revisi diminta; jika melewatkan tenggat waktu, penalti diterapkan.

Dalam model ini, KOL dapat menghindari usaha yang sia-sia secara efektif. Begitu terpilih, selama mengikuti panduan, penghasilan pada dasarnya terjamin. Tidak seperti sistem berbasis hadiah, tidak ada risiko ditolak tanpa alasan setelah pekerjaan selesai. Dari perspektif penyedia proyek, kontrol kualitas juga menjadi lebih mudah karena hanya memilih peserta yang telah diaudit sebelumnya.

2.4 Ekspansi Multi-Platform

Jika platform X bukan lagi lahan subur, pilihan berikutnya pasti beralih ke YouTube, TikTok, dan Instagram. Di ruang Web3, saat ini sudah ada dorongan kuat untuk melampaui platform X. Pandangan utama adalah bahwa pertumbuhan nyata perlu beralih dari platform yang didominasi oleh pengguna asli crypto, ke saluran massal dengan audiens yang lebih luas.

Keuntungan utama dari jalur ini adalah basis pengguna potensial yang jauh lebih besar daripada platform X, terutama di pasar berkembang seperti Asia Tenggara dan Amerika Latin, di mana TikTok dan Instagram memiliki pengaruh yang sangat kuat. Selain itu, setiap platform menjalankan algoritme yang berbeda, sehingga bahkan jika satu saluran dibatasi, operasi keseluruhan dapat terus berlanjut.

Namun, tantangan yang datang dari pertukaran ini adalah peningkatan drastis dalam kompleksitas operasional. Di platform X, biasanya hanya perlu meninjau postingan berbasis teks; di YouTube, panjang konten dan kualitas produksi sangat penting; di TikTok, tiga detik pertama video menentukan performa; dan di Instagram, kekuatan eksekusi Story dan kualitas format harus dinilai. Ini membutuhkan keahlian khusus platform tertentu, dan bahkan mungkin memerlukan pengembangan alat internal yang sama sekali baru. Karena kebijakan API dan metode pengumpulan data setiap platform sangat berbeda, ini pada dasarnya hampir sama dengan membangun kembali seluruh proyek dari awal. Selain itu, risiko kebijakan masih mengintai — platform mana pun dapat mengubah aturan secara tiba-tiba seperti platform X. Namun, menyebarkan aktivitas ke beberapa platform memang dapat secara signifikan mengurangi ketergantungan pada satu platform, dan untuk proyek skala besar, ini adalah satu-satunya pilihan yang menawarkan skalabilitas substansial.

2.5 Manajemen KOL Ala MCN

Dalam model MCN (Multi-Channel Network) Web2, nilai merek KOL sangat penting. Di ruang Web3, pengaruh ini bahkan lebih menentukan: narasi menggerakkan modal, dan satu komentar dari pemimpin opini dapat langsung memengaruhi harga token.

Proyek InfoFi yang sukses biasanya telah membentuk sekelompok KOL yang aktif dan memiliki loyalitas tinggi, para pencipta ini tumbuh melalui partisipasi mendalam selama berbulan-bulan di platform. Penyedia proyek dapat mempertahankan kelompok ini dan mengarahkannya ke model manajemen berbasis data, alih-alih mencari pencipta dari awal. Ini berbeda dengan MCN Web2 tradisional yang bergantung pada penemuan terus-menerus terhadap talenta baru.

Struktur ala MCN berarti membangun hubungan kontrak formal, bukan partisipasi selektif yang longgar. Dengan data historis yang terkumpul dan hubungan yang telah dibangun, platform dapat menggunakan pengaruh yang lebih kuat dalam ekosistem Web3, dan menegosiasikan transaksi komersial yang lebih baik. Untuk proyek InfoFi, ini memerlukan sistem manajemen yang kuat, di mana data akan menjadi aset inti. Jika dapat secara akurat membimbing KOL melalui data, dan menyediakan strategi GTM (Go-To-Market) yang profesional dan berbasis data untuk penyedia proyek, model ini akan memberikan keunggulan kompetitif yang bertahan lama.

3. InfoFi 2.0

Keruntuhan ekosistem InfoFi ini meninggalkan dua pelajaran mendalam bagi dunia Web3:

  1. Ironi Desentralisasi: Banyak proyek Web3 sangat bergantung pada platform X yang terpusat, dan satu keputusan X cukup untuk menghancurkan seluruh sistem.
  2. Keterbatasan Desain Insentif: Mekanisme hadiah meskipun berhasil menarik banyak peserta, tetapi kurangnya metode yang efektif untuk mengontrol kualitas konten. Banjir konten sampah memberikan alasan jelas bagi platform X untuk campur tangan.

Sumber: X(@nikitabier)

Apakah ini berarti jalan InfoFi sudah berakhir?

Tidak sepenuhnya. Sejumlah kecil proyek yang telah menemukan "Kecocokan Produk dengan Pasar" (PMF) mungkin bertahan dengan mengubah bentuk bisnisnya. Mereka dapat beralih ke ekspansi multi-platform, mengkurasi aktivitas精品, atau bertransformasi menjadi manajemen ala MCN.

InfoFi 2.0 mungkin akan menjadi lebih kecil, lebih terkendali, dan lebih fokus pada kualitas konten. Ini akan beralih dari platform terbuka dan tanpa izin, ke jaringan profesional yang diaudit ketat, bentuknya akan lebih mendekati platform pemasaran terintegrasi yang menggabungkan upaya GTM lokal dan komponen seperti iklan offline.

Namun, masalah mendasar masih terbuka di atas meja. Joel Mun dari Tiger Research House指出: Begitu mekanisme hadiah diperkenalkan, peserta secara tak terelakkan akan mencari cara untuk mengeksploitasi celah sistem, membuat struktur insentif yang adil sangat sulit dirancang. Perilaku spekulatif ini menyebabkan generasi konten berkualitas rendah, dan menciptakan循环umpan balik negatif yang dapat merusak platform.

Selain itu, peneliti David mengajukan pertanyaan yang lebih mendasar: Dia berpendapat bahwa pemeliharaan nilai token InfoFi di masa lalu lebih bergantung pada ekspektasi airdrop staking dan kepercayaan pada某种narasi, daripada kinerja aktual platform. Sekarang, keduanya telah kehilangan relevansi. Ini memunculkan pertanyaan langsung: Mengapa investor harus membeli token InfoFi di masa depan?

Agar InfoFi 2.0 dapat benar-benar bertahan, pertanyaan-pertanyaan ini harus dijawab dengan jelas dan meyakinkan. Jika sebuah proyek tidak dapat menyelaraskan diri dengan kepentingan pemegang tokennya, ia tidak dapat mencapai keberlanjutan yang sebenarnya.

Tautan asli

Related Questions

QApa yang menyebabkan keruntuhan ekosistem InfoFi dalam waktu tiga hari?

APerubahan kebijakan API platform X yang tiba-tiba melarang aplikasi yang memberikan imbalan untuk memicu postingan pengguna, yang diumumkan oleh Nikita Bier pada 15 Januari, menyebabkan keruntuhan instan ekosistem InfoFi.

QApa saja lima pilihan yang dihadapi proyek InfoFi setelah perubahan kebijakan platform X?

ALima pilihan tersebut adalah: menghentikan operasi sepenuhnya, bertransformasi menjadi platform bounty/penghargaan, mengadopsi model sponsor ala Korea, ekspansi ke multi-platform, atau berevolusi menjadi manajemen KOL bergaya MCN.

QApa perbedaan utama antara model berbasis bounty (seperti Scribble) dan model sponsor ala Korea (seperti Revu)?

AModel bounty (Scribble) mengikuti pendekatan 'kirim dulu, tinjau kemudian' di mana KOL membuat konten terlebih dahulu dan baru dibayar setelah disetujui, berisiko usaha sia-sia. Model sponsor Korea (Revu) mengikuti pendekatan 'pilih dulu, kelola kemudian' di mana KOL dipilih terlebih dahulu berdasarkan data, diberikan panduan, dan dibayar selama mengikuti aturan, meminimalkan risiko.

QApa dua pelajaran utama yang ditinggalkan oleh keruntuhan ekosistem InfoFi bagi dunia Web3?

ADua pelajaran utamanya adalah: (1) Ironi desentralisasi - banyak proyek Web3 sangat bergantung pada platform X yang terpusat. (2) Keterbatasan desain insentif - mekanisme imbalan menarik banyak peserta tetapi gagal mengontrol kualitas konten, menyebabkan banjir spam.

QBagaimana bentuk InfoFi 2.0 yang mungkin muncul di masa depan menurut laporan tersebut?

AInfoFi 2.0 kemungkinan akan lebih kecil, lebih terkendali, dan lebih fokus pada kualitas konten. Ini akan beralih dari platform terbuka dan tanpa izin ke jaringan profesional yang dikurasi dengan ketat, menyerupai platform pemasaran terintegrasi yang menggabungkan upaya GTM lokal dan komponen seperti iklan offline.

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How Does SPERO,$$s$ Work? SPERO,$$s$ employs a multi-faceted framework that distinguishes it from conventional cryptocurrency projects. Here are some of the key features that underline its uniqueness and innovation: Decentralised Governance: SPERO,$$s$ integrates decentralised governance models, empowering users to participate actively in decision-making processes regarding the project’s future. This approach fosters a sense of ownership and accountability among community members. Token Utility: SPERO,$$s$ utilises its own cryptocurrency token, designed to serve various functions within the ecosystem. These tokens enable transactions, rewards, and the facilitation of services offered on the platform, enhancing overall engagement and utility. Layered Architecture: The technical architecture of SPERO,$$s$ supports modularity and scalability, allowing for seamless integration of additional features and applications as the project evolves. This adaptability is paramount for sustaining relevance in the ever-changing crypto landscape. Community Engagement: The project emphasises community-driven initiatives, employing mechanisms that incentivise collaboration and feedback. By nurturing a strong community, SPERO,$$s$ can better address user needs and adapt to market trends. Focus on Inclusion: By offering low transaction fees and user-friendly interfaces, SPERO,$$s$ aims to attract a diverse user base, including individuals who may not previously have engaged in the crypto space. This commitment to inclusion aligns with its overarching mission of empowerment through accessibility. Timeline of SPERO,$$s$ Understanding a project's history provides crucial insights into its development trajectory and milestones. Below is a suggested timeline mapping significant events in the evolution of SPERO,$$s$: Conceptualisation and Ideation Phase: The initial ideas forming the basis of SPERO,$$s$ were conceived, aligning closely with the principles of decentralisation and community focus within the blockchain industry. Launch of Project Whitepaper: Following the conceptual phase, a comprehensive whitepaper detailing the vision, goals, and technological infrastructure of SPERO,$$s$ was released to garner community interest and feedback. Community Building and Early Engagements: Active outreach efforts were made to build a community of early adopters and potential investors, facilitating discussions around the project’s goals and garnering support. Token Generation Event: SPERO,$$s$ conducted a token generation event (TGE) to distribute its native tokens to early supporters and establish initial liquidity within the ecosystem. Launch of Initial dApp: The first decentralised application (dApp) associated with SPERO,$$s$ went live, allowing users to engage with the platform's core functionalities. Ongoing Development and Partnerships: Continuous updates and enhancements to the project's offerings, including strategic partnerships with other players in the blockchain space, have shaped SPERO,$$s$ into a competitive and evolving player in the crypto market. Conclusion SPERO,$$s$ stands as a testament to the potential of web3 and cryptocurrency to revolutionise financial systems and empower individuals. With a commitment to decentralised governance, community engagement, and innovatively designed functionalities, it paves the way toward a more inclusive financial landscape. As with any investment in the rapidly evolving crypto space, potential investors and users are encouraged to research thoroughly and engage thoughtfully with the ongoing developments within SPERO,$$s$. The project showcases the innovative spirit of the crypto industry, inviting further exploration into its myriad possibilities. While the journey of SPERO,$$s$ is still unfolding, its foundational principles may indeed influence the future of how we interact with technology, finance, and each other in interconnected digital ecosystems.

54 Total ViewsPublished 2024.12.17Updated 2024.12.17

What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

717 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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