Veylan

La Liga Winner 2026 @opinionlabsxyz contenders: Barcelona Real Madrid Atletico Madrid this will be the shortest post in recent times, because the choice is obvious, i bet on Barcelona's victory and yes, i somehow got an Immortal Rising drop in $IMT token about 500 coins, but sold it long ago, now looked at the chart, check the chart, how much would it cost now.... i'm not upset

The fight within UFC between Islam Makhachev (@beeos_arenavs ambassador) and Michael Morales is FAKE what's in AI news? i like how they're developing === Claude learned to "remember the past" Anthropic opened the memory import function from other AI for all Claude users -you can transfer conversation history from ChatGPT or Gemini -Claude immediately understands your context, style and tasks -no more need to "educate" a new bot from scratch === Meta trains AI on recordings from Ray-Ban smart glasses a good solution by the way === ChatGPT-5.3 is already here - meet GPT-5.3 Instant, what's under the "hood"? -improved internet search - GPT now integrates online data with its own knowledge, providing accurate and structured information -context and consistency - the model remembers better what was being discussed and "hallucinates" less often -understanding subtext - GPT adapts to the meaning of the question and gives more relevant answers fewer refusals and unnecessary disclaimers -everyday use has become simpler and more convenient GPT-5.3 Instant is already available on paid plans

did you sleep through everything yesterday? and didn't follow the campaign from @XOOBNetwork successful campaign, people got easy money for a post XOOB NFT Mint Campaign XOOB launched a free mint of 1000 NFT on Base chain for Web3 influencers (7 days, 1 NFT per wallet) to participate you need an influencer score ≥100 on X and an original post with a mention easy money i'll tell you about the project soon and will continue talking about it p.s. = post written with the purpose of support, because this rarely happens, there were no payments for me, this is not paid partnership

bros, tell me, are there feelings after 11 years? do they exist, is it possible? so you write "hi" as a joke and then you start communicating very closely i'm a very closed person, but i opened up to her, do you think she opened up to me? actually, i found MY PERSON! i don't care what happens next! some simple thoughts @Anastasia_dgtl

who hasn't heard about openclaw yet? @getoro_xyz released detailed material on this topic, what and how it works go ahead and get acquainted and understand where we're going and what might happen next i recommend it for a clear understanding of what level of automation and ai agents we're talking about and stop reading posts about "Hawk Tuah girl" i think she'll still show herself😆

🥊 beeos is changing the game for ufc fans 🥊 traditional betting is boring and limited - narrow choice of events, no bonuses for expertise @beeos_arenavs allows you to predict any aspects of fights, including related events, and receive tokenized rewards for it plus - no "trust the bookmaker": smart contracts automate payouts, blockchain records results transparently crypto meets sports NFA + DYOR

So, X limited my use of subscriptions and likes for 3 days, apparently i overdid it Today i have football training, which i'm very happy about What else do we have in AI news: - Alibaba released Qwen 3.5 Alibaba released the open-source model Qwen 3.5, and by benchmarks it's at the level of Gemini 3 Pro, while beating GPT-5.2 and Claude Opus 4.5 - SpaceX got their own ai - and they named it Spock the internal version of the Grok chatbot for rocket engineering tasks at SpaceX was named Spok - in honor of the most logical character from Star Trek Spok is not a toy and not a demo it's a working ai trained on internal SpaceX data: Falcon 9 and Starship launch logs, production metrics and Raptor engine tests it helps engineers: - analyze telemetry - calculate orbital mathematics - optimize production chains -@getoro_xyz shared interesting information about the data received "the total volume of which is 3.8 TB of audio recordings from more than 3000 active participants in 47 languages" this is truly an excellent database, and most importantly real data on which their ai model is trained i'm looking forward to what comes out of this, in my opinion something interesting should come out, and of course it's important how the llm algorithm itself will be created

Tokenomics analysis: distribution model, incentives, token role, outlook for investors The tokenomics of @PerleLabs is directly tied to the points and rewards system on the platform. In the current version, participants earn points, which are essentially a pre token: the team confirmed that in the future these points will be convertible into on chain rewards (tokens) on Solana . During the public beta launch (autumn 2025), it was officially stated: "Each task brings points that will later be converted into tokens". So, Perle is now building token distribution through activity: early contributors accumulate points that, when the token launches, may turn into a certain amount of coins (similar to an airdrop mechanism). Distribution model: the exact token issuance parameters have not been announced yet (as of December 2025, there is no public information about the ticker and the token economics) . However, the investment amounts are known, and it is assumed that investors received or will receive a share of tokens according to their investments. In total, the project raised $17.5M in two rounds: $8.5M in October 2024 (seed/pre seed) and another $9M in August 2025 (seed round) . The rounds were led by CoinFund (2024) and Framework Ventures (2025) respectively, with participation from Protagonist, HashKey Capital, Peer VC, and other investors . These large venture funds are known for supporting Web3 projects, and their involvement indicates high potential of the Perle token for the investor community . In particular, Framework Ventures specializes in investments in DeFi, AI, and blockchain infrastructure, and led the round because it sees synergy between the Perle platform and crypto incentive structures . The fund’s co founder Vance Spencer noted: “data quality will be the engine of progress in AI more than just scaling models, and Perle’s transparent crypto incentives can start a cycle that unlocks a wave of high quality data” . For token holders, this means a bet on a key link in the AI industry, high quality datasets, with potential value growth as AI companies need more and more reliable data. It is expected that token distribution will be focused on the community and on incentivizing participation. Likely, a significant share will be allocated to participant rewards (mining via labeling), to keep motivating experts to work on the platform. Also, a part of the tokens will go to the team and early investors, reflecting the invested funds and effort (as a standard startup pattern, the investor share can be 15 to 25%, the team about 15 to 20%, and the rest to the ecosystem and development reserves). Although there are no exact numbers, there are hints: the project ran Galxe campaigns and whitelists, collecting Solana and EVM wallet addresses from users . This is usually done ahead of an airdrop or an IDO, to lock in early participants and possibly distribute tokens across several blockchains. According to airdrops , Perle Labs launched a campaign on Galxe where users complete tasks (subscriptions, test tasks) to potentially qualify for future token rewards . Officially, the team did not confirm an airdrop, but it is clear it is building a record of on chain contribution and user points to take them into account in token distribution

today i got acquainted with an interesting project @perlelabs as far as i understand this is the first similar ai layer in web3, now i'll tell you about this project perle labs is a web3 platform for quality data preparation (data quality layer) in the field of artificial intelligence its goal is to attract verified experts for labeling and verifying data necessary for training and evaluating ai models, with transparent accounting of contributions on the blockchain in other words, perle turns human knowledge into a "digitized" resource - each expert's contribution is recorded as a valuable data unit architecture and technologies: the platform is built on the solana blockchain, which ensures high speed and low fees when recording activity on chain each action - whether it's image labeling, checking a model's response, or evaluating data quality - is immediately logged onchain (without storing personal data), creating an immutable history of contribution and attribution for each participant such a "transparent layer" provides data auditability: any organization can track who and how data was labeled, and verify its reliability key platform functions: - expertise verification: before being allowed to tasks, all new participants undergo training and knowledge assessment in their subject area this replaces anonymous crowdsourcing with a system of qualified participants, which increases quality and responsibility the documentation emphasizes that perle labs replaces a crowd of random performers with experts with confirmed qualifications - each such expert goes through training, tests and receives rating points for accuracy - performing data labeling and validation tasks: experts perform various tasks - from annotating texts, images, audio/video to evaluating responses of large language models (llm) or checking the labeling of other participants for example, this could be labeling medical images by a doctor or evaluating the accuracy of a chatbot's response by a linguist for each task, the system applies quality control methods (reference samples, consensus voting, expertise) - this guarantees fair evaluation of contribution and a single "gold" standard data labeling - rewards and points: for each successfully completed and verified task, the expert receives points - an internal reward unit unlike traditional exchanges where they pay fixed amounts for volume, in perle the reward is dynamic and depends on quality: accuracy is taken into account (verified algorithmically, comparing with the standard and other answers), task complexity, performer reputation, etc such algorithmic calculation of rewards motivates participants to strive for high accuracy and work stability all rewards are also distributed automatically by smart contract, which eliminates delays and manual labor - reputation and access levels: points simultaneously serve as an indicator of reputation on the blockchain having accumulated a certain number of points with high average quality, a participant raises their level (tier) and reputation rating a high rating opens access to more complex and highly paid projects, and also brings badges - for example, for 100% accuracy, a long series of successful days or expertise in a narrow field badges and reputation are recorded onchain partially in open form, which makes them portable - proof of your achievements can be confirmed cryptographically outside the platform the team plans to implement zero-knowledge proofs to confirm achievements without disclosing personal data, strengthening privacy and compatibility with decentralized identity - transparency and audit: due to the fact that each contribution is recorded on the blockchain, customers (ai teams, enterprises) can audit the entire data collection process for example, an enterprise can make sure that certified doctors worked on their dataset, that each step is confirmed on chain, and that rewards were paid honestly and on time this solves the problem of trust in data: each labeled data point has a traceable origin to a specific expert thus, perle labs provides enterprise-grade data quality without sacrificing transparency and fairness conclusion: perle labs can be described as a "crypto-native analog of scale ai" - i.e. a decentralized version of well-known data labeling services, where instead of an anonymous crowd verified professionals work, and instead of closed databases - a blockchain registry of contribution this is a new approach to scaling human intelligence for ai, combining domain knowledge, blockchain infrastructure and token economics to create reliable and verifiable data

Have you heard about prediction markets that focus solely on the UFC? It's about this. @beeos_arenavs If you are a fan of the UFC and your favorite fighter is @MerabDvalishvil (I think it goes without saying who that is), then you can confidently participate in predicting the outcome of the fight on their platform So, don't delay, take action, don't procrastinate, submit your application to the whitelist!

OpenAI releases GPT-5.3-Codex with faster AI encoding and measurable efficiency gains, and importantly: -operates on the basis of private data processing cycles -iteration speed, determined by scaled private data provided by people within real workflows -models now track learning progress, correct errors, evaluate results, and optimize systems in real time This approach, namely working with human data, real data, has long been used by the team @getoro_xyz That was the original approach, and as we can see, even such giants have started to use exactly the same approach....

Today I got acquainted with a new prediction platform @beeos_arenavs It sparked interest because the basis and focus of the prediction will revolve around the UFC, and not only that We all know how popular UFC fights are, but I haven't yet seen any in-depth analysis of this sport in terms of predictions I see great potential. Next, I will discuss other mechanics and ways to earn points