Before you say "I do", ask yourself one hard question: are we friends? Do we play, talk, laugh, and enjoy each other without forcing it? If not, love alone will not save you. Marriage without friendship is a long, exhausting sentence. Some marriages are dry like desert. No talking. No laughter. No friendship. Just sex, pregnancy, childbirth, repeat. That is not marriage, that is survival. Many people are bored in their own homes but won't admit it.

Wahala😂

TENEEEEEEE 🔊

Made 20 $Sol today so imma gamble some while watching a movie What should I play? Play with me: acebet.com/welcome/r/jacal

GM to everyone who says GM back Follow me Repost this and drop your wallet address under I’ll bless 2-3 of you tonight

I'VE JUST BOUGHT A NFT FOR 30 ETH Yea, today I woke up so bullish on NFTs and had to make my collection even bigger Looked out for the best offers on @spaace_io, check how the trendmap is looking and how the collections are standing I monitorized CryptoPunks for a while now and I think I made the right decision The floor was up to 30 ETH so I just pressed "buy now" Does anyone wants it in his collection? I'm selling it for one sol, or just make an offer, I will give it to you

One of my favourite things to see is $BDX being up again More specific, top 3 in the privacy category Just behind Zcash and Monero! Big congrats to the @BeldexCoin team that is here everyday working for our dream: privacy & security #Beldex

𝑻𝒉𝒆 𝑩𝒊𝒂𝒔 𝑷𝒓𝒐𝒃𝒍𝒆𝒎: 𝑨𝑰'𝒔 𝑴𝒐𝒔𝒕 𝑫𝒂𝒏𝒈𝒆𝒓𝒐𝒖𝒔 𝑭𝒍𝒂𝒘 - Part 2 - @miranetwork Want to understand bias? Not so hard as you think To understand it you need to separate two fundamental error types that commonly appear in machine-learning systems: hallucination and bias Each reflects a different kind of failure Hallucinations occur when an AI model generates outputs that appear coherent & confident yet are factually incorrect This represents a precision error: the system is producing specific answers, but those answers simply don’t match reality Examples include > fabricated citations > invented legal cases > or studies that never existed - outputs that sound legitimate despite being false Bias, by contrast, is an accuracy error Instead of isolated mistakes, it shows up as consistent, directional deviations from ground truth This can take the form of leaning toward one political interpretation Favoring particular demographic groups, or repeatedly amplifying certain viewpoints over others Rather than a one-off error, it becomes a structural pattern embedded in the model’s behavior While hallucinations often grab public attention because they are easy to spot, bias presents the deeper and more persistent threat It can shape entire categories of outputs, influence decision-making at scale & ultimately determine whether AI supports or undermines societal fairness and trust

Prediction markets in crypto are entering a new phase through the use of AI and machine-learning models Instead of depending solely on trader intuition or basic indicators, these systems can process huge amounts of information > historical price data > on-chain metrics > social sentiment > and macro signals - to produce probability estimates that are significantly more grounded LLMs also introduce a major shift: they can serve as automated resolvers Rather than relying on human voting or centralized arbitration, LLMs can evaluate verifiable data and determine outcomes directly This approach is already being explored Chaos Labs, for example, is working with Wintermute on “AI oracles” capable of providing risk-evaluation feeds and tamper-resistant market resolutions ML forecasts can also be used to price markets and supply market-making liquidity A current example is Double-Up... An on-chain gaming and prediction platform utilizing @OpenGradient trust-minimized AI workflows and forecasting models to generate moneylines for bets on token returns such as $SUI It represents one of the first AI-driven prediction-market systems set to launch in December 2024

Hearing people talking about peaq, cuz price not looking good, it's not delivering, etc etc... LOL, the world is quickly shifting into an age where machines earn, exchange, and generate value directly onchain W/ peaq, you can claim your share of this future, starting w/ the app.peaq.xyz (which I've also started exploring lately) The peaq app is your access point to the entire peaq ecosystem and your first step into the Machine Economy (getting back with a full post soon about it): > Register through your preferred social platform > Initialize your wallet > Explore the world of tokenized machines > Manage your tokens - send, receive, buy, and stake them $PEAQ

What's even about @Talus_Labs anymore? Does someone know? They wanna make the whole CT go silent or what? First Senti, now Allora, can we see a third one before TGE? Why partnership with Allo? To investigate how AI agents can leverage collaborative reasoning prior to carrying out on-chain workflows This collaboration combines Allora’s self-enhancing inference capabilities with Talus’s Nexus... New opportunities for autonomous agents that can deliberate together and execute with precision being created We going to see the biggest TGE this year? Probably yes, they not like $US

Talking about cheap Just looked at the $PEAQ chart It's an one to watch, just like STBL, BDX and MIRA but here the story is different I feel like people forgot what @peaq is building, how it's powering a human-centric machine economy Remember, bad times don't last forever

Imagine using social media by just turning on your Bluetooth😃 Butterfly protocol offers revolutionary decentralized social infrastructure that bridges the gap between real world human interaction and on chain digital value. 🦋Butterfly Protocol uses Bluetooth Mesh Network which enables peer to peer messaging without internet or cellular service. Works in subways, festivals, remote areas anywhere the internet fails. Exciting times ahead

Perfect time to talk about some stables, right? Or about the blockchain for banks? Going with both of them :) Just looked more into @RaylsLabs and look what I've found out Rayls apparently implements a dual-layer system where reserves are securely handled on a private, permissioned network While stablecoins are issued and transacted on the public blockchain On the public layer: > every stablecoin transaction is fully traceable > fees are automatically processed > and payments remain fast and transparent This hybrid approach blends the requirements of traditional finance - privacy, compliance, and control W/ the benefits of digital assets - transparency, liquidity, and trust