0G Labs Luncurkan Platform Pengembangan AI Konsumen Berbasis Infrastruktur Terdesentralisasi

marsbitPubblicato 2026-04-15Pubblicato ultima volta 2026-04-15

Introduzione

Dalam upaya menjembatani kesenjangan antara kemudahan pengembangan AI dan prinsip-prinsip desentralisasi, 0G Labs meluncurkan platform pengembangan AI konsumen bernama 0G App. Platform ini memungkinkan pengguna membangun aplikasi hanya dengan menggunakan instruksi bahasa alami, tanpa perlu menulis kode. Dibangun di atas infrastruktur komputasi terdesentralisasi, 0G App menggabungkan verifikasi TEE (Trusted Execution Environment) untuk privasi dan transparansi, serta menawarkan integrasi token $0G dan deployment agen cerdas. Platform ini menggunakan model GLM-5 dengan 744 miliar parameter dari Zhipu AI yang berjalan di lingkungan TEE aman, didukung oleh infrastruktur Intel TDX dan NVIDIA H100/H200. Fitur seperti pratinjau real-time, pengeditan iteratif, dan input suara memudahkan proses pengembangan. Selain aplikasi generator, 0G App memperkenalkan "Pusat Peluncur" yang mencakup Peluncur Aplikasi, Peluncur Agen Cerdas (sudah tersedia), dan Peluncur Token (direncanakan). Dengan menggabungkan antarmuka Web2 yang mudah digunakan dan infrastruktur Web3 yang terdesentralisasi, aplikasi dapat di-deploy ke Vercel dengan data yang disinkronkan ke lapisan penyimpanan terdesentralisasi 0G. Penggunaan sumber daya komputasi terikat dengan token $0G, menciptakan hubungan langsung antara aktivitas platform dan utilitas token.

AI platform agen cerdas 0G Labs hari ini secara resmi meluncurkan 0G App, sebuah platform pengembangan AI untuk pengguna umum yang memungkinkan siapa pun menggunakan instruksi bahasa alami untuk membangun aplikasi, tanpa perlu menulis kode. Platform ini menggabungkan komputasi terdesentralisasi, verifikasi lingkungan eksekusi tepercaya yang melindungi privasi, serta fungsi penyebaran token dan agen AI yang terintegrasi, memungkinkan pengguna menyelesaikan seluruh proses dari ide hingga penyebaran aplikasi lengkap dalam satu ekosistem, sehingga menggabungkan kemudahan penggunaan Web2 dengan infrastruktur dan utilitas token $0G Web3.

Masalah yang Dihadapi Pengembangan AI Saat Ini

"Pemrograman suasana" bangkitnya platform dengan cepat, dengan jelas menunjukkan perubahan cara pembuatan perangkat lunak. Alat yang memungkinkan pengguna menghasilkan aplikasi menggunakan bahasa alami secara signifikan menurunkan ambang batas pengembangan, memungkinkan untuk pertama kalinya pengguna non-teknis dapat membangun produk digital. Namun, platform ini masih sangat bergantung pada penyedia layanan cloud terpusat, memicu kekhawatiran berkelanjutan tentang privasi data, penguncian vendor, dan ketidaktransparanan perilaku model.

Sementara itu, infrastruktur asli kripto selalu menghadapi tantangan dalam memberikan pengalaman pengguna yang setara, seringkali membutuhkan pengetahuan teknis khusus dan rantai alat yang terfragmentasi. Akibatnya, muncul jurang pemisah antara kemudahan penggunaan pengembangan berbasis AI dan prinsip-prinsip desentralisasi.

Solusi Pembuatan Aplikasi AI Terdesentralisasi

Untuk mengatasi masalah ini, 0G Labs mengumumkan peluncuran 0G App. Ini adalah platform pengembangan AI konsumen yang dirancang agar pengguna dapat membangun aplikasi hanya dengan instruksi bahasa alami, tanpa menulis kode. Platform ini berjalan di atas infrastruktur komputasi terdesentralisasi dan memperkenalkan verifikasi Lingkungan Eksekusi Tepercaya (TEE) untuk semua model AI yang didukung.

Pengguna dapat mendeskripsikan ide aplikasi dalam bahasa sehari-hari dan mengamati proses pembuatannya secara real-time. Platform mendukung pratinjau real-time dan penyuntingan iteratif melalui lingkungan pengembangan terintegrasi. Template awal mencakup laman arahan, dasbor, dan aplikasi web lengkap, sekaligus mendukung unggahan materi referensi, pengoptimalan kata kunci, atau penggunaan input suara.

Desain yang Menjamin Privasi dan Verifikasi

0G App memiliki fitur inti yang memanfaatkan zona isolasi perangkat keras yang aman, menggabungkan infrastruktur Intel TDX dan NVIDIA H100/H200 untuk menjalankan tugas inferensi. Pendekatan ini mewujudkan komputasi AI yang dapat diverifikasi dan privat pada tingkat arsitektur, bukan mengandalkan kebijakan platform.

Platform ini diluncurkan dengan model sumber terbuka GLM-5 74.4 miliar parameter dari Zhipu AI, yang berjalan di lingkungan aman TEE.

Pengenalan Pusat Peluncur

Selain pembuatan aplikasi, 0G App memperkenalkan kerangka kerja "Pusat Peluncur" yang lebih luas, memperluas fungsionalitas ke area terkait siklus hidup pengembangan.

· Peluncur Aplikasi: Mendukung alur kerja lengkap dari kata kunci ke aplikasi, dan menyediakan pratinjau real-time serta iterasi.

· Peluncur Agen Cerdas (telah上线): Memungkinkan pengguna menyebarkan agen AI khusus yang didukung oleh OpenClaw dan lapisan komputasi 0G dalam satu langkah.

· <极>Peluncur Token (rencana推出): Akan memandu pengguna melalui proses pembuatan token di rantai 0G.

Komponen-komponen ini bersama-sama berupaya membangun lingkungan yang terpadu, di mana pengguna dapat menyelesaikan pembangunan, penyebaran, dan perluasan aplikasi tanpa meninggalkan platform.

Menghubungkan Kemudahan Penggunaan Web2 dengan Infrastruktur Web3

0G App menggabungkan alat Web2 yang familiar dengan sistem backend terdesentralisasi. Aplikasi dapat disebarkan ke Vercel dengan satu klik, sementara data proyek disinkronkan ke lapisan penyimpanan terdesentralisasi 0G, mendukung pemulihan melalui hash root.

Penggunaan sumber daya komputasi terikat dengan token $0G, membangun hubungan langsung antara aktivitas platform dan utilitas token. Platform mendukung koneksi dompet sejak peluncuran, memungkinkan pengguna mengakses layanan dan mengelola pembayaran dalam kerangka asli kripto.

Memperluas Peran AI dalam Ekosistem Kripto

Peluncuran ini terjadi pada saat popularitas pengembangan berbasis AI terus meningkat, sementara pengawasan terhadap penyedia AI terpusat juga semakin ketat. Dengan menggabungkan antarmuka bahasa alami dan infrastruktur terdesentralisasi, 0G App berusaha mendefinisikan ulang cara membangun dan menyebarkan aplikasi dalam ekosistem kripto.

Platform ini memperkenalkan mode baru di mana pengguna dapat beralih dari ide ke aplikasi fungsional tanpa bergantung pada layanan terpusat, sambil memasukkan elemen-elemen seperti tokenisasi dan penyebaran agen cerdas ke dalam alur kerja yang sama.

Crypto di tendenza

Domande pertinenti

QApa yang diperkenalkan oleh 0G Labs dan apa tujuannya?

A0G Labs memperkenalkan 0G App, sebuah platform pengembangan AI konsumen yang memungkinkan siapa pun membangun aplikasi menggunakan instruksi bahasa alami tanpa menulis kode. Tujuannya adalah untuk menggabungkan kemudahan penggunaan Web2 dengan infrastruktur terdesentralisasi Web3 dan utilitas token $0G.

QApa masalah utama dalam pengembangan AI yang coba diatasi oleh 0G App?

AMasalah utamanya adalah ketergantungan platform 'pemrograman ambient' pada penyedia layanan cloud terpusat, yang menimbulkan kekhawatiran tentang privasi data, vendor lock-in, dan ketidaktransparanan model. Sementara itu, infrastruktur crypto asli seringkali rumit dan membutuhkan pengetahuan teknis yang khusus.

QBagaimana 0G App menjamin privasi dan verifikasi dalam komputasi AI?

A0G App menggunakan lingkungan eksekusi tepercaya (TEE) yang berjalan pada infrastruktur hardware aman seperti Intel TDX dan NVIDIA H100/H200. Pendekatan ini memastikan komputasi AI yang dapat diverifikasi dan privat pada tingkat arsitektur, bukan hanya mengandalkan kebijakan platform.

QApa saja komponen utama dalam 'Pusat Peluncur' (Launcher Hub) yang ditawarkan oleh 0G App?

AKomponen utamanya meliputi: Peluncur Aplikasi (Application Launcher) untuk alur kerja dari prompt ke aplikasi, Peluncur Agen (Agent Launcher) untuk menyebarkan agen AI khusus, dan Peluncur Token (Token Launcher - rencana rilis) untuk memandu pembuatan token di chain 0G.

QBagaimana 0G App menghubungkan kemudahan Web2 dengan infrastruktur Web3?

APlatform ini menggabungkan alat Web2 yang familiar dengan sistem backend terdesentralisasi. Aplikasi dapat disebarkan ke Vercel dengan satu klik, sementara data proyek disinkronkan ke lapisan penyimpanan terdesentralisasi 0G. Penggunaan sumber daya komputasi terikat dengan token $0G, dan platform mendukung koneksi dompet untuk pembayaran dalam kerangka crypto asli.

Letture associate

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

The core of recent semiconductor stock volatility is not about daily price swings, but rather the market questioning whether AI-driven semiconductor pricing has entered a new phase. Following a sharp sell-off in Korean stocks on June 23rd, led by Samsung and SK Hynix, a subsequent rebound is seen more as a technical positioning adjustment rather than a confirmed trend reversal. The key variable is HBM (High Bandwidth Memory), essential for AI chips. Its supply-demand imbalance granted memory makers significant pricing power. The current market focus is on whether this dynamic remains strong enough to justify elevated valuations. All eyes are on Micron's upcoming earnings report. The critical factor is not whether results meet already high expectations, but whether the company's guidance confirms that AI memory pricing power, order visibility, and future margins are still expanding. Micron's outlook will serve as a crucial test for the broader AI semiconductor chain, including Samsung, SK Hynix, and other infrastructure players. The recent bounce appears to be a pre-earnings positioning repair. For it to evolve into a sustained uptrend, concrete evidence is needed that the AI infrastructure expansion cycle's fundamentals—particularly for high-end memory—remain robust and can continue to surpass elevated market expectations. The risk is that strong demand alone may not be sufficient if future guidance hints at peaking momentum or increasing supply-side pressures.

marsbit3 min fa

Semiconductor Stock Rebound: Is the Technical Correction Over or a Trend Reversal?

marsbit3 min fa

Global Tech Stocks Plunge: Another Stress Test for the AI Bull Market

Global tech stocks plummeted in a sharp selloff on June 23, with South Korea's KOSPI index crashing nearly 10%, triggering a trading halt. The plunge was led by semiconductor giants Samsung and SK Hynix, dragging down major Asian and US tech indexes and levered ETFs. The immediate trigger was a confluence of three signals within 24 hours: 1) reports that SK Hynix was slowing HBM4 expansion, raising doubts about a key AI chip bottleneck; 2) profit-taking ahead of Micron's earnings report after its massive year-to-date rally; and 3) a warning from Korean regulators about the risks of single-stock leveraged ETFs. The selloff's severity was amplified by Korea's uniquely leveraged market structure: record-high retail margin debt, over $30 billion in volatile single-stock leveraged ETFs requiring daily rebalancing (which creates selling pressure during declines), and the surprising shift of the National Pension Service from a net buyer to a net seller. The event reignited debates about an AI bubble. Analysts differed on timing—some warned of imminent rupture, others saw a temporary liquidity-driven correction—but agreed that sky-high valuations, a shift to retail/leveraged buying, and rising rates created a fragile setup. The parallel steep drop in SpaceX's stock, alongside its massive debt raise for AI infrastructure, underscored a broader market shift from narrative-driven "infinite imagination" to a "return on investment" calculation phase. All eyes are now on Micron's upcoming earnings report, seen as a key test for the AI hardware trade's fundamental logic. A strong report could stabilize markets, while a miss could validate deeper fears. The episode serves as a stark warning: when a bull run becomes dependent on leveraged bets on a single narrative, a violent and rapid correction should not be a surprise. The core question for investors is how much drawdown they are willing to tolerate to stay invested.

marsbit5 min fa

Global Tech Stocks Plunge: Another Stress Test for the AI Bull Market

marsbit5 min fa

Ethereum Foundation Cuts 20% of Staff, 54 Depart: The Survival Logic Behind the Restructuring

The Ethereum Foundation (EF) has announced a major restructuring, resulting in the departure of 54 staff members, representing approximately 20% of its workforce. This reorganization is not merely a cost-cutting measure but a strategic refocusing. The EF will now concentrate its resources on what it deems critical and unique tasks, structured around five new operational clusters. The new structure comprises clusters dedicated to: the Protocol Layer (ensuring Ethereum's core properties like censorship resistance and security); the Access Layer (enabling trusted, non-intermediated user interactions); the User Layer (grounding decisions in real user needs and constraints); the Community Layer (representing EF's stance and building alliances); and the Institutional Layer (engaging with enterprises, governments, and academia to promote principled adoption). The foundation stated that the layoffs were a difficult but necessary step to align its organization and spending with its long-term mandate, insulating its core work from short-term market fluctuations. Affected employees were offered a severance package and transition support. The restructured EF emerges as a leaner and more focused organization, poised to prioritize the development and preservation of Ethereum's foundational promise of self-sovereignty. Further details on the new operational model are expected in the coming weeks.

marsbit7 min fa

Ethereum Foundation Cuts 20% of Staff, 54 Depart: The Survival Logic Behind the Restructuring

marsbit7 min fa

Talking About Returns But Not Collection? Goldfinch's Liquidation Sounds the Alarm for RWA Credit

Goldfinch, a crypto lending platform connecting investors with real-world borrowers, has proposed a full wind-down via governance proposal GIP-87. The plan would halt all new development, shut down its flagship Goldfinch Prime product, and allocate 150,000 USDC to manage the collection of outstanding loans. While the proposal is under community vote, it highlights a critical shift for the RWA (Real World Asset) lending sector: the transition from a growth phase focused on yields to a difficult recovery phase focused on collections. The proposal reveals that while the protocol's on-chain TVL is low, it still holds tens of millions in active, non-performing loans off-chain. This gap underscores that tokenizing debt makes tracking exposure transparent but does not simplify the offline, labor-intensive, and legally complex process of loan recovery. The case of the Lend East pool, where only an estimated 42% of a $10.15 million loan may be recovered, exemplifies the potential for significant investor losses. The wind-down plan forces token holders to govern not expansion but the maintenance of a debt collection system, including funding legal trust structures and preserving user access for repayments. This move starkly contrasts with the sector's typical narrative of rapid, AI-powered underwriting and high yields, exposing the often-overlooked necessity for robust borrower vetting, standardized disclosure, and sustainable collection mechanisms. Ultimately, Goldfinch's situation serves as a crucial stress test for the entire RWA lending space. It demonstrates that a platform's true resilience is tested not during capital deployment but during the protracted, costly, and uncertain process of recovering defaulted loans from real-world borrowers, a challenge blockchain transparency alone cannot solve.

Foresight News12 min fa

Talking About Returns But Not Collection? Goldfinch's Liquidation Sounds the Alarm for RWA Credit

Foresight News12 min fa

Meta Launches Prediction Market, Code-Named "Arena": Not Using Real Money, 3.56 Billion Daily Active Users Are Its Biggest Bargaining Chip

Meta, under the codename "Arena," is developing a standalone prediction market application, according to a June 23 report by The New York Times. Initially, the app will operate on a points-based system rather than real-money betting, though future integration of financial transactions is not ruled out. Meta plans to leverage its vast ecosystem of apps, boasting 3.56 billion daily active users, to distribute the product. The strategy aims to lower user acquisition costs and navigate regulatory complexities associated with real-money prediction markets, which are overseen by bodies like the CFTC. News of Meta's entry caused stock dips for established players like DraftKings and Robinhood, reflecting market concerns over Meta's potential to disrupt incumbents like Polymarket and Kalshi with its massive scale. The prediction market sector has seen explosive growth, with monthly trading volume on major platforms surging to approximately $24 billion as of April 2026. This marks Meta's second foray into the space, having launched and later shut down a similar virtual-points app called Forecast in 2020. While Arena poses a competitive threat to crypto-based platforms like Polymarket, its mainstream reach could also significantly expand the overall user base and awareness for prediction markets. The project remains in development with no public launch timeline, but its announcement has already impacted market sentiment.

marsbit17 min fa

Meta Launches Prediction Market, Code-Named "Arena": Not Using Real Money, 3.56 Billion Daily Active Users Are Its Biggest Bargaining Chip

marsbit17 min fa

Trading

Spot
Futures

Articoli Popolari

Come comprare 0G

Benvenuto in HTX.com! Abbiamo reso l'acquisto di 0G (0G) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente 0G0G.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva 0G (0G)Dopo aver acquistato 0G (0G), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia 0G (0G)Scambia facilmente 0G (0G) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

163 Totale visualizzazioniPubblicato il 2025.09.22Aggiornato il 2026.06.02

Come comprare 0G

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di 0G 0G sono presentate come di seguito.

活动图片