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Um...thanks for reminding me of this tweet, AIgorithm. #CrispinGlover #ThursdayThoughts #Twitter
i wonder what Crispin Glover is doing right now.
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The feed seems weird today — I'm not seeing my usual people, there's lots of huffy posts from accounts I'm not interested in, the ads are peculiar. There must be something off with the aIgorithm! So here are some peaceful pictures of the garden yesterday as a timeline cleanse ☺️
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The aIgorithm can favor you any day, which is why you need to keep showing up every day. Keep posting anď engaging.
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The aIgorithm can favor you any day, which is why you need to keep showing up every day. Keep posting anď engaging.
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RAHASIA PERHITUNGAN IMPRESI? I’ve done the math, guys! Basic assumption = 1.rasio like ber korelasi positif dengan rasio impresi. 2.AIgorithm (grok & phoenix) melakukan initial scoring hanya pada follower. MAKA, untuk akun ku dengan follower 2700 dapat disimpulkan bahwa batas threshold maksimum impresi dari follower sendiri adalah 270 views. MAKA, jika postku melebihi treshold tsb, dapat disimpulkan the algorithm is working, push out to a wider reach! Jadi yang perlu ak lakukan hanya perlu memantau, jika pada rentang waktu 2 jam (golden time) impresi gagal menembus threshhold tersebut, algo isnt interested, our post will be left to die. Yang aku lakukan? Ya bikin post baru. Tapi, kalo Algo pushing for a wider reach? Ak gak post baru, karena gamau ganggu algo yang lagi kerja pushing for a wider reach. Thoughts? 👇👇
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x dot com would give my random text posts proper aIgorithm BUT my art posts smh
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^ it’s aIso specificaIIy the first 30 seconds that the yt aIgorithm watches cIoseIy, in youtube studio it actuaIIy specificaIIy highIights the percentage of peopIe that are stiII watching after the 30 second mark just to hammer it in 😭
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Replying to @moefumofu
honestly makes you wonder how new anime accs and such are supposed to gain traction when the AIgorithm already hates the medium so much
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🚨 Tout le monde parle des cryptos IA… Mais la plupart passent à côté de la différence entre théorie et exécution. $TAO a prouvé que des modèles IA décentralisés peuvent fonctionner. Mais $QUBIC prouve quelque chose de bien plus important 👇 👉 Une monétisation fiable et continue du calcul Décomposons cela. Bittensor ($TAO) : 🧠 Focus = entraînement & classement des modèles IA ⚡ Résultat = marché de l'intelligence Mais cela dépend fortement de : • La compétition sur la qualité des modèles • Les incitations des validateurs • Les dynamiques de notation subjectives Maintenant regardez $QUBIC : ⚙️ Focus = calcul déterministe sortie utilitaire ⛏️ Cas d'usage prouvé = minage d'actifs réels (ex : DOGE via UPOW) 🔁 Continu = calcul → sortie → récompense Voici la différence clé : $TAO = couche de valorisation de l'intelligence $QUBIC = couche d'exécution de production Et dans les systèmes réels… 👉 La production l'emporte toujours sur la théorie. $QUBIC construit quelque chose de plus profond : • Réseau de calcul distribué • Allocation de charge de travail en temps réel • Monétisation du calcul inutilisé • Pont entre les économies IA PoW Pensez à l'avenir : Les charges de travail IA explosent La demande de calcul est infinie La plupart des ressources de calcul restent inutilisées globalement Maintenant imaginez : ⚡ L'IA utilise le calcul quand c'est nécessaire 💰 Le calcul inutilisé génère de la valeur quand il n'est pas utilisé C'est exactement ce que $QUBIC débloque. C'est là que des concepts comme : 👉 Cowgorithm 👉 Couches d'optimisation pilotées par l'IA 👉 Routage autonome du calcul commencent à devenir réels. Appelez-le comme vous voulez : AIgorithm Aigarth Cerveau global du calcul Mais la fondation, c'est ceci : 👉 Calcul fiable 👉 Sortie continue 👉 Valeur économique réelle Vérification de la réalité : $TAO est puissant. Mais il est encore tôt pour prouver la cohérence à grande échelle. $QUBIC ? 👉 Démontrer déjà une sortie pratique 👉 Connecter déjà le calcul aux revenus Le prochain cycle ne récompensera pas les récits. Il récompensera : 👉 Les systèmes qui produisent de la valeur de manière cohérente Et en ce moment… $QUBIC se positionne pour mener ce changement. $QUBIC 🚀
🚨 Everyone is talking about AI coins… But most are missing the difference between theory vs execution. $TAO proved that decentralized AI models can work. But $QUBIC is proving something far more important 👇 👉 Reliable, continuous compute monetization Let’s break it down. Bittensor ($TAO): 🧠 Focus = training & ranking AI models ⚡ Output = intelligence marketplace But it depends heavily on: • Model quality competition • Validator incentives • Subjective scoring dynamics Now look at $QUBIC: ⚙️ Focus = deterministic compute utility output ⛏️ Proven use case = mining real assets (ex: DOGE via UPOW) 🔁 Continuous = compute → output → reward This is the key difference: $TAO = intelligence valuation layer $QUBIC = execution production layer And in real systems… 👉 Production always wins over theory. $QUBIC is building something deeper: • Distributed compute network • Real-time workload allocation • Monetization of idle compute • Bridge between AI PoW economies Think about the future: AI workloads are exploding Compute demand is infinite Most compute sits idle globally Now imagine: ⚡ AI uses compute when needed 💰 Idle compute generates value when unused That’s exactly what $QUBIC is unlocking. This is where concepts like: 👉 Cowgorithm 👉 AI-driven optimization layers 👉 Autonomous compute routing start becoming real. Call it what you want: AIgorithm Aigarth Global compute brain But the foundation is this: 👉 Reliable compute 👉 Continuous output 👉 Real economic value Reality check: $TAO is powerful. But it’s still early in proving consistency at scale. $QUBIC? 👉 Already demonstrating practical output 👉 Already connecting compute to revenue Next cycle won’t reward narratives. It will reward: 👉 Systems that produce value consistently And right now… $QUBIC is positioning to lead that shift. $QUBIC 🚀
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🚨 Everyone is talking about AI coins… But most are missing the difference between theory vs execution. $TAO proved that decentralized AI models can work. But $QUBIC is proving something far more important 👇 👉 Reliable, continuous compute monetization Let’s break it down. Bittensor ($TAO): 🧠 Focus = training & ranking AI models ⚡ Output = intelligence marketplace But it depends heavily on: • Model quality competition • Validator incentives • Subjective scoring dynamics Now look at $QUBIC: ⚙️ Focus = deterministic compute utility output ⛏️ Proven use case = mining real assets (ex: DOGE via UPOW) 🔁 Continuous = compute → output → reward This is the key difference: $TAO = intelligence valuation layer $QUBIC = execution production layer And in real systems… 👉 Production always wins over theory. $QUBIC is building something deeper: • Distributed compute network • Real-time workload allocation • Monetization of idle compute • Bridge between AI PoW economies Think about the future: AI workloads are exploding Compute demand is infinite Most compute sits idle globally Now imagine: ⚡ AI uses compute when needed 💰 Idle compute generates value when unused That’s exactly what $QUBIC is unlocking. This is where concepts like: 👉 Cowgorithm 👉 AI-driven optimization layers 👉 Autonomous compute routing start becoming real. Call it what you want: AIgorithm Aigarth Global compute brain But the foundation is this: 👉 Reliable compute 👉 Continuous output 👉 Real economic value Reality check: $TAO is powerful. But it’s still early in proving consistency at scale. $QUBIC? 👉 Already demonstrating practical output 👉 Already connecting compute to revenue Next cycle won’t reward narratives. It will reward: 👉 Systems that produce value consistently And right now… $QUBIC is positioning to lead that shift. $QUBIC 🚀
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Apr 3
yay it's today, AIgorithm is back can't wait to show you
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Replying to @SweetcheeksReal
Wholly dishonest in true lsraeIi fashion. I'm getting sick of the aIgorithm shilling this cursed race of freaks to me. These women are attractive because they represent the MASSIVE external racial admixture from Eastern Europe and not Jewish DNA, other than their mammaries.
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As long as you’re engaging with other people, aIgorithm will favor you. ✔️
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As long as you’re engaging with other people, aIgorithm will favor you
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As long as you’re engaging with other people, aIgorithm will favor you. ✔️
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Great article on this topic came out today and here's the Iink since the aIgorithm fae don't like me right now anyway: open.substack.com/pub/iandun…

Replying to @conan_esq
The "Tolkien spends pages and pages describing a leaf or single tree!!" meme is the most baffling, when his actual prose is generally spare, direct, distant-covering, and has more than a little similarity to his rough contemporary, that avatar of verbosity, Ernest Hemingway
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My work will be featured at the AIgorithm AI art exhibition in Saigon 🇻🇳🤯 If you're in the city go check it out! Thanks for the feature @0xInk_ 🙏
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I'm proud to announce the second edition of AIgorithm in Saigon. Opening April 3rd, with 45 AI artists. huge thanks to @MacBaconAI for the artwork featured in this teaser btw, this video was made with Seedance 2, 3 image references, one prompt
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