Stephen23m
UID 547678991 Twitter @Stephen27M
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#whstisapikey API KEY
Is application programming interface (API) key is a code used to identify and authenticate an application or user. API keys are available through platforms, such as a white-labeled internal marketplace. They also act as a unique identifier and provide a secret token for authentication purposes.
APIs are interfaces that help build software and define how pieces of software interact with each other. They control requests made between programs, how those requests are made, and the data formats used. They are commonly used on Internet-of-Things (IoT) applications and websites to gather and process data or enable users to input information. For example, users can get a Google API key or YouTube API keys, which are accessible through an API key generator
Is application programming interface (API) key is a code used to identify and authenticate an application or user. API keys are available through platforms, such as a white-labeled internal marketplace. They also act as a unique identifier and provide a secret token for authentication purposes.
APIs are interfaces that help build software and define how pieces of software interact with each other. They control requests made between programs, how those requests are made, and the data formats used. They are commonly used on Internet-of-Things (IoT) applications and websites to gather and process data or enable users to input information. For example, users can get a Google API key or YouTube API keys, which are accessible through an API key generator
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DeepProve-1
💣💥💣💥💣💥💣💥💣💥
🤯 On August 18, Lagrange announced the results of the launch of DeepProve-1, the first zkMl system that demonstrates complete LLM inference.
DeepProve-1 is the first zkML (zero-knowledge machine learning) system developed by Lagrange Labs that allows generating cryptographic proofs of complete inferences from large language models (LLMs) like GPT-2.
DeepProve-1.
Features and achievements:
First complete LLM inference proof, DeepProve-1 managed to generate a zero-knowledge proof for the complete inference of GPT-2, a large language model from OpenAI.
Verifiability in AI, introduces verifiability as a core feature in modern AI systems, extending this to full transformer architectures.
Support for complex structures, handles computation graphs with residual connections, parallel branches, and variable length inputs, typical in LLMs.
Applications and relevance:
security and privacy: Allows verifying the results of an LLM without revealing input data or model details, crucial for applications in defense, healthcare, finance, and infrastructure.
Auditability, facilitates the auditing of decisions made by LLMs without compromising data privacy or the intellectual property of the model.
Developments and future plans
Performance optimization: Lagrange Labs is working on improving cryptographic efficiency and parallelism to make DeepProve-1 more practical in production environments.
Extension to other LLMs, the next goal is to support models like Meta's LLAMA, one of the most adopted open-source LLMs.
DeepProve-1 is a significant advancement in verifiable AI, enabling cryptographic proofs of LLM inferences.
$LA
@Lagrange Official
#lagrange
#creadorpad
#lagrangeholder
{spot}(LAUSDT)
🤯 On August 18, Lagrange announced the results of the launch of DeepProve-1, the first zkMl system that demonstrates complete LLM inference.
DeepProve-1 is the first zkML (zero-knowledge machine learning) system developed by Lagrange Labs that allows generating cryptographic proofs of complete inferences from large language models (LLMs) like GPT-2.
DeepProve-1.
Features and achievements:
First complete LLM inference proof, DeepProve-1 managed to generate a zero-knowledge proof for the complete inference of GPT-2, a large language model from OpenAI.
Verifiability in AI, introduces verifiability as a core feature in modern AI systems, extending this to full transformer architectures.
Support for complex structures, handles computation graphs with residual connections, parallel branches, and variable length inputs, typical in LLMs.
Applications and relevance:
security and privacy: Allows verifying the results of an LLM without revealing input data or model details, crucial for applications in defense, healthcare, finance, and infrastructure.
Auditability, facilitates the auditing of decisions made by LLMs without compromising data privacy or the intellectual property of the model.
Developments and future plans
Performance optimization: Lagrange Labs is working on improving cryptographic efficiency and parallelism to make DeepProve-1 more practical in production environments.
Extension to other LLMs, the next goal is to support models like Meta's LLAMA, one of the most adopted open-source LLMs.
DeepProve-1 is a significant advancement in verifiable AI, enabling cryptographic proofs of LLM inferences.
$LA
@Lagrange Official
#lagrange
#creadorpad
#lagrangeholder
{spot}(LAUSDT)
1
#Strategy增持比特币 finally broke 1000 fans, sending a red envelope to celebrate
888
According to the data, how institutional funds reshape the rhythm of the crypto market
🧧🧧🧧🧧🧧 Institutional funds are profoundly reshaping the operational rhythm of the cryptocurrency market; their impact far exceeds simple capital increments, reflected in the following core dimensions, which can be clearly validated through data:
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I. Core characteristics of institutional entry (data support)
1. Compliance path dependence
· ETF-dominated flow: Total holdings of US Bitcoin spot ETFs (as of July 2025) exceeded 1 million BTC, with a single-day net inflow peak exceeding $1 billion (Q1 2024 data).
· Institutionalization of the futures market: CME Bitcoin futures open interest reached 35% (2025), surpassing Binance to become the largest derivatives market, showing traditional capital path dependence.
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I. Core characteristics of institutional entry (data support)
1. Compliance path dependence
· ETF-dominated flow: Total holdings of US Bitcoin spot ETFs (as of July 2025) exceeded 1 million BTC, with a single-day net inflow peak exceeding $1 billion (Q1 2024 data).
· Institutionalization of the futures market: CME Bitcoin futures open interest reached 35% (2025), surpassing Binance to become the largest derivatives market, showing traditional capital path dependence.
Good night
Good night
Ok
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#Strategy增持比特币 Rush 10,000 followers, likes + follows, red envelope 🎁🎁 sent
Yes
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Yes
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Hawk
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LA
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PLUME 🔥
AK 主机
·
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BullishBINANCE NEW CAMPING SHARE OF 380,000 $PLUME
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How to qualify:
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⚡ Don’t miss out — join now and claim your share of $PLUME!
My referral link: https://accounts.binance.com/register?ref=1112461429
🚀 Boost Your Network’s Growth with Trending Token Airdrops!
🔹 Activity A: For Binance Affiliates (Share 155,000 $PLUME)
✅ Invite friends with your Referral Pro Link/ID.
✅ Get proportional rewards based on valid invites.
➡️ More invites = more $PLUME rewards!
---
🔹 Activity B: For New Users (Share 225,000 $PLUME)
💰 Reward: 150 $PLUME per user (first 1,500 new users).
How to qualify:
1️⃣ Register a Binance account with my referral link:
👉 Join Binance Now
2️⃣ Deposit $50+ (Cash Deposit, Card, or P2P).
3️⃣ Trade $100+ on Binance Spot.
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⚡ Don’t miss out — join now and claim your share of $PLUME!
My referral link: https://accounts.binance.com/register?ref=1112461429
Good afternoon
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"The bulls haven't dispersed, the rhythm is more fragmented, how should we follow?"
Today, the market isn't explosive, but the sense of rhythm is strong. BTC is testing its core range, ETH is quietly gaining momentum, and a few small altcoins in the rotation are starting to heat up. This kind of 'steady fluctuation' market feels more like an elegant aerobic run rather than a sprint. I've organized the key points into 'three grabs and three releases' for your convenience.
Three things to 'grab'
1. BTC support validation: As long as Bitcoin holds around 123k, market sentiment hasn't completely collapsed. A rebound after an intraday dip is a 'not yet broken' signal.
2. ETH Activity: Even if the price increase is not significant, on-chain trading volume has slightly rebounded, indicating that real users are getting active. It's resilience, and serves as a signal for the next structural rise.
Three things to 'grab'
1. BTC support validation: As long as Bitcoin holds around 123k, market sentiment hasn't completely collapsed. A rebound after an intraday dip is a 'not yet broken' signal.
2. ETH Activity: Even if the price increase is not significant, on-chain trading volume has slightly rebounded, indicating that real users are getting active. It's resilience, and serves as a signal for the next structural rise.
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