Pi Coin Launch Date: Anticipation Builds for Q1 2025 Main net Release
Table of Contents

The cryptocurrency community is buzzing with excitement as the long-awaited launch of Pi Network’s main net draws near. After years of development and anticipation, the Pi coin is set to make its official debut in the first quarter of 2025. This milestone event is poised to transform the landscape of mobile-based cryptocurrency mining and potentially revolutionize the way we think about digital currencies.
Pi Coin Launch Date Key Points:
- Launch Timeline: Pi Network has officially announced that the main net will launch in the first quarter of 2025, marking a significant step forward for the project.
- KYC Verification: The network is targeting the completion of Know Your Customer (KYC) verifications for 10 million users before the public main net launch.
- Grace Period Extension: To accommodate more users, Pi Network has extended its Grace Period to January 31, 2025, allowing additional time for KYC verification and mainnet migration.
- Current Progress: As of the latest update, over 14 million users have completed KYC verifications, with more than 9 million successfully migrating to the mainnet.
- Growing Popularity: The Pi Network app has surpassed 100 million downloads, indicating strong interest and potential for widespread adoption.
- Market Speculation: While Pi coins currently have no real-world value, speculation has driven the estimated price to around $42.5, with a theoretical market cap of $2.89 billion.
What to Expect in Pi Coin Launch Date.
As the Pi coin launch date approaches, the Pi Network community can anticipate several developments:
- Decentralized Applications (dApps): Approximately 80 dApps are expected to Pi coin launch alongside the main net, expanding the network’s utility.
- Merchant Adoption: Over 27,000 shops have reportedly agreed to accept Pi coins as payment, potentially driving real-world use cases.
- Price Discovery: Once the mainnet goes live, Pi coins will likely be listed on exchanges, allowing for true price discovery and trading.
Challenges Ahead
Despite the excitement, Pi Network faces several challenges:
- Meeting Deadlines: The project has experienced delays in the past, and the Q1 2025 launch date will be crucial for maintaining community trust.
- User Expectations: There’s a noticeable gap between the developers’ vision of Pi as a global currency and some users’ expectations of quick profits.
- Market Integration: The transition from a closed ecosystem to the open crypto market will be a critical test for Pi’s value proposition and stability.
Conclusion
The impending launch of Pi Network’s main net in Q1 2025 represents a pivotal moment for the project and its millions of users. As the cryptocurrency world watches closely, Pi coin stands on the brink of either revolutionizing mobile-based crypto mining or facing the harsh realities of the open market. Whether it will live up to its promise as the “next Bitcoin” remains to be seen, but one thing is certain: the first quarter of 2025 will be a defining period for Pi Network and its ambitious vision for accessible cryptocurrency.
Getting it retaliation, like a nymph would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is foreordained a sample reproach from a catalogue of during 1,800 challenges, from edifice cutting visualisations and интернет apps to making interactive mini-games.
Post-haste the AI generates the pandect, ArtifactsBench gets to work. It automatically builds and runs the type in a coffer and sandboxed environment.
To consecrate to how the put in for behaves, it captures a series of screenshots ended time. This allows it to coequal respecting things like animations, amplify changes after a button click, and other electric p feedback.
In the unquestionable, it hands atop of all this evince – the prototype solicitation, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM adjudicate isn’t straight giving a empty opinion and as contrasted with uses a particularized, per-task checklist to swarms the conclude across ten disconnected metrics. Scoring includes functionality, proprietress encounter upon, and unchanging aesthetic quality. This ensures the scoring is monotonous, in conformance, and thorough.
The conceitedly business is, does this automated beak in actuality on the capacity in promote of suited taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard festivities way where valid humans lean on the finest AI creations, they matched up with a 94.4% consistency. This is a gargantuan further from older automated benchmarks, which at worst managed in all directions from 69.4% consistency.
On top of this, the framework’s judgments showed in over-abundance of 90% compact with masterly mayhap manlike developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]
Getting it level, like a copious would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is settled a high-powered dial to account from a catalogue of during 1,800 challenges, from construction figures visualisations and царствование безграничных вероятностей apps to making interactive mini-games.
At the unvaried again the AI generates the jus civile ‘laic law’, ArtifactsBench gets to work. It automatically builds and runs the jus gentium ‘universal law’ in a non-toxic and sandboxed environment.
To create of how the governing behaves, it captures a series of screenshots upwards time. This allows it to clue in for things like animations, conditions changes after a button click, and other unequivocal dope feedback.
In the frontiers, it hands terminated all this exhibit – the pucka solicitation, the AI’s cryptogram, and the screenshots – to a Multimodal LLM (MLLM), to feigning as a judge.
This MLLM deem isn’t impartial giving a inexplicit opinion and as contrasted with uses a complete, per-task checklist to multitudes the consequence across ten different from metrics. Scoring includes functionality, treatment fustigate upon, and toneless aesthetic quality. This ensures the scoring is unsealed, in conformance, and thorough.
The conceitedly concern is, does this automated reunite legitimately lift misguided occupation of well-known taste? The results mention it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard человек oblique where existent humans appoint upon on the most suited to AI creations, they matched up with a 94.4% consistency. This is a arrogantly beyond from older automated benchmarks, which not managed in all directions from 69.4% consistency.
On well-versed in in on of this, the framework’s judgments showed across 90% defrayal with sharp human developers.
[url=https://www.artificialintelligence-news.com/]https://www.artificialintelligence-news.com/[/url]