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  4. Published Social post

    Bless (@theblessnetwork)

    Centralized datacenters are becoming harder and more expensive to manage. Sourcing compute from a distributed network of everyday devices is becoming easier, more powerful and cheaper. The direction of travel is clear.

  5. Published Social post

    SingularityNET (@SingularityNET)

    While we prefer to focus on building and continue to do so, once again it becomes necessary to correct “twisting of the facts”. Attached is the complete email correspondence discussed in Oceans recent statement. The “Ocean community member” referenced could only be an Ocean Protocol executive, as all communications (outside of lawyers) were conducted as such, never once were we introduced to a community representative. Please review the full context and draw your own conclusions.

  6. Published Social post

    Humayun (@HMsheikh4)

    I’m deeply sorry to our community that this drama is unfolding and $fet price is hugely affected. While we continue to bring Ocean to question we are also working towards an improved tokenomics to stabilize the damage caused by Ocean’s malicious actions. We will start releasing the changes over the next few days. Together we will come out of this stronger!

  10. Published Social post

    Humayun (@HMsheikh4)

    While legals are happening and we take every action possible to fix this problem. I want to lay out facts and events so community can see what is happening. If Ocean as stand alone project did this it would be classed as a rug pull! (Only my opinion)… On May 25, 2023, the Ocean Protocol foundation minted and transferred 719,100,000 OCEAN tokens to 0x4D9B76Df13DF257A674AEc7Ec7232741A6E73883.  On July 1, 2025, 661,218,319 OCEAN tokens were exchanged for 286,456,967.46 FET,  On July 3 and July 14, 2025 a total of 76,500,106 FET tokens were transferred to:  0xc248340B5ea577Ce21a924EaE23fAB587595a194  Of this amount, 21,200,000 FET were subsequently transferred to Binance and 55,300,000 FET to 0xfB19085AC3951cB0AF7B5A6126F4bfF8E2D1F8eE (an address linked to GSR Markets) On July 3 and July 14, 2025, a total of 13,500,000 FET tokens were transferred to address: 0x65a3C3e81Ba0efa17AF252a6B4CcE669deA9E595 (funding of this account came from EXAGROUP) the balance remaining in 0x4D9B7 was 196,457,400 FET tokens subsequently moved in a batch transaction to thirty newly created Gnosis Safe accounts on August 31, 2025. These have now mostly moved to Binance. More info to follow! I urge Binance, GSR and Exagroup to investigate these transfers and do the right thing! I stand united with the community and working to get this resolved asap. Open to any conversation with Ocean protocol, private or public!

  11. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    FROM THE BOARD OF DIRECTORS OF SUPERINTELLIGENCE ALLIANCE LTD. On 09 October 2025, Ocean Protocol Foundation Ltd (“Ocean”) issued to the Board of Directors of the Company its Notice of Removal of Appointed Member Directors and of Resignation as Member of Superintelligence Alliance Ltd. (“Ocean’s Notice”). Also on 09 October 2025, Ocean issued certain statements (“Ocean’s Public Statements”) promoting the independent listing of the $OCEAN token on exchanges. These statements including Ocean’s announcement that “[a]ny exchange that has de-listed $OCEAN may assess whether they would like to re-list the $OCEAN token”. Comment The Board is in the process of seeking legal advice as to the consequences of Ocean’s conduct, and in particular Ocean’s Public Statements and related actions given the Board’s preliminary view that such conduct is in apparent breach of Ocean’s contractual obligations owed to https://t.co/OwdTdskBls and SingularityNET as well as to the aims of the Company. In view of that fact that those actions have had a material and significant financial and reputational impact on the ASI Community (among other aspects, there has been a negative impact on token price), it does not appear that Ocean and its Directors have been acting in the best interests of the ASI Community. The Board intends to seek urgent/immediate clarification/confirmation from Ocean as to its position/intentions before making a final decision as to what should be done. In the interim and as a matter of prudence and risk mitigation, the Board will suspend the operation of the conversion bridge pending confirmation sought from Ocean and a final decision of the Board. The Board is also taking legal advice with a view to protect and pursue its legal rights including obtaining restitution or compensation for the ASI Community for any wrongful actions. Legal advice is also being sought as to whether the 110 million FET tokens which have yet to be converted to the bridge can be put to the ASI Community to decide what should be done with those tokens including burning them.

  12. Published Social post

    Humayun (@HMsheikh4)

    Ocean's unilateral decision to exit the Alliance without any prior warning or discussion has raised many questions that need to be answered. While a legal process is in place, in my personal capacity, I have the following immediate questions and I also urge the ASI and Ocean communities to ask the same: 1. If Ocean were planning to leave the Alliance, why did you convert all Ocean community reward tokens in bulk a few months ago? 2. Considering Ocean confirmed more than a year ago that these tokens were community reward tokens controlled by OceanDAO, disclose who controls and who are the signatories of the SAFE wallet name OceanDAO?https://t.co/pKWVJbqVoT 3. The tokens were disbursed to multiple wallets which are apparently now owned/controlled by Ocean Expedition ("OE"). Disclose how OE is managed and owned? Where have the community tokens gone from there?https://t.co/0b6FNxnLnP 4. As Ocean has left the Alliance, do they not agree that the right thing for them to do is to return the community rewards tokens ($fet) so the community can decide what to do with them, ie burn them, redistribute them or lock them up etc? The community deserves answers and I will ensure we get them…@BrucePon @trentmc0

  13. Published Social post

    The Block (@TheBlock__)

    Ocean Protocol withdraws from AI token alliance with http://Fetch.ai and SingularityNET https://www.theblock.co/post/373977/ocean-protocol-withdraws-from-artificial-superintelligence-alliance?utm_source=twitter&utm_medium=social

  16. Published Social post

    Ocean Protocol (@oceanprotocol)

    Everyone talks about model training. Few talk about data labeling The Annotators Hub turns data annotation into a community effort with clear tasks, quality checks, and rewards Better labels -> better models New Annotation Challenge starts soon, stay tuned

  17. Published Social post

    Ocean Protocol @KBW2025 🇰🇷 (@oceanprotocol)

    Ocean VS @code Extension in 2 minutes! From installing to running live compute jobs, then analyzing results, all happens inside your IDE. Plus, data privacy stays intact. Compute comes from a global decentralized GPU network Watch the full workshop: https://youtu.be/be5uq4nnZTU?feature=shared https://t.co/VsHaJyNRTn

  19. Published Social post

    Ocean Protocol @KBW2025 🇰🇷 (@oceanprotocol)

    Ocean Protocol × @OasisProtocol DePIN & DeFAI is live 🇰🇷 📍 Hotel Cappuccino, Seoul 📆 3:00-8:00 PM (GMT+9) Event Agenda✨ 1) 3:00 – 3:30 PM → Welcome & Registration 2) 3:30 – 3:50 PM → Keynote: Decentralized AI – Bringing User Self-Sovereignty Back by @matejanez, Head of Partnerships at Oasis 3) 3:50 – 4:10 PM → Exciting insights from @mihai_mas, Product Lead at Ocean 4) 4:10 – 4:30 PM → Live Demo of Ocean Nodes by Ocean core engineer @BogdanFazakas 5) 4:30 – 4:45 PM → Fireside Chat: "WTF is AI taking DeFAI?" featuring @751_eth (Cofounder, @exagroupxyz ) & @markowifk (Head of AI, Oasis) Seats are limited https://t.co/QbKgocs2rW

  21. Published Social post

    Ocean Protocol (@oceanprotocol)

    AI is scaling faster than hardware can keep up. By 2030, training runs will be 10,000× bigger than today, but power limits, GPU shortages, and latency are already slowing things down Ocean Nodes will soon enable scaling by converting any high-performance GPU device into a compute node for AI training. With on-demand GPU access, you get instant, flexible compute for every AI need, without the hassle of managing infrastructure Learn more: https://t.co/0f0gHZ7Rq6

  22. Published Social post

    Ocean Protocol (@oceanprotocol)

    You want to train smarter AI models without burning through GPUs? Here’s how: With the Ocean VS @code extension, you can soon run private compute jobs directly inside your editor, no setup, no servers to manage. Just open your algorithm file, hit run, and let serverless globalized compute handle the rest Explore how it’ll be as simple as code -> run -> results, with no infrastructure headaches and pay-as-you-go flexibility: https://t.co/j6nEBxR2Ie

  24. Published Social post

    Ocean Protocol (@oceanprotocol)

    Hey, Oceaners! We're launching the Annotators Hub What is it, you might ask? It's a community-driven initiative where you guys take on structured challenges to review, evaluate, and ultimately create the high-quality datasets that actually train AI for real-world use First challenge: LiteracyForge Quest Here’s how you’ll help build smarter AI tutors: -Read short English passages -Answer comprehension questions -Rate text + question difficulty & quality Why it matters: Your human reasoning = the key ingredient missing from today’s AI. By contributing, you’ll help create adaptive tutors + better literacy tools for millions of learners worldwide. 🗓️ Aug 28 – Sep 18, 2025 💰 $10,000 USDC prize pool ⚡ Platforms: @lunor_ai (profiles + leaderboard) + https://t.co/nfn5eOovKt (tasks) Your share of the prize depends on your valid contributions Example: if all participants score 10,000 points total, and you contribute 500 points, you’ll earn $500 USDC Join the initiative that is building high-quality datasets with real rewards! https://t.co/L74cWbHQhN

  25. Published Social post

    Ocean Protocol (@oceanprotocol)

    Japan, let’s network At AI + DePIN Connect 2025, we’ll walk through how you can monetize idle compute, how a network can build a decentralized backbone for AI, and what’s coming next for Ocean Protocol Join us: https://luma.com/AI-DePIN-Connect-2025

  26. Published Social post

    Ocean Protocol (@oceanprotocol)

    Every AI project hits the same wall: inference is expensive, GPUs are scarce, and cloud vendors lock you in Ocean Nodes will soon provide decentralized compute on demand, directly connected to your data pipelines. Core advantages: 1. On-demand inference: access distributed GPU/CPU when you need it 2. Privacy-preserving: run inference close to the data, without exposing raw files 3. Scalable & trustless: workloads validated on-chain, no single point of failure With Ocean Nodes, you can deploy inference jobs on decentralized infrastructure that scales with your data Learn how: https://t.co/0f0gHZ7Rq6

  27. Published Social post

    Ocean Protocol (@oceanprotocol)

    The Evolution of Compute: From Parallelism to Privacy-Preserving Decentralized AI The story of modern AI is inseparable from the history of computing hardware. In the 1950s–70s, massive mainframes (IBM 7000 series, CDC 6600, Cray supercomputers) centralized processing power in scientific and government labs, enabling the first batch jobs and early AI experiments. By the 1980s, the personal computer revolution (Intel 8086, x86 PCs, early workstations) put microprocessors on every desk, thanks to the explosive miniaturization of transistors described by Moore’s Law In parallel, high-performance computing (HPC) grew. By the 1990s, supercomputers with hundreds or thousands of parallel CPUs (e.g. Intel Paragon, Cray T3E) tackled scientific simulations. In the 2000s, graphics cards began a dramatic second life as parallel AI engines. NVIDIA’s CUDA platform (2006) unleashed GPUs for general-purpose computing (GPGPU). AI researchers quickly discovered that tens of GPUs could replace thousands of CPUs for training neural nets. For example, in 2011, 12 NVIDIA GPUs matched the deep‐learning throughput of 2,000 CPUs. This GPU parallelism became a cornerstone of modern AI, accelerating training by an order of magnitude or more. Around the same time, Google introduced TPUs (Tensor Processing Units) – ASIC chips specialized for neural-network math in 2015. Google reported TPUs delivered 15–30× higher performance than contemporary CPUs/GPUs on AI tasks (with even greater performance-per-watt). Meanwhile, Moore’s Law began to slow in the late 2010s as chips hit physical limits. This plateau led to specialization (GPUs, TPUs, FPGAs) and to scaling out via clusters and cloud datacenters. Today’s fastest supercomputers (like Summit, Frontier) combine thousands of GPUs in networked clusters, pushing beyond a billion compute cores. But even this massive scale struggles to keep pace with the insatiable compute demands of AI. In short, the evolution has gone from single cores to multicore CPUs, to GPU/TPU accelerators and massive clusters, each leap enabling bigger models and data. AI Workloads and Shifting Problems The evolution of hardware has directly shaped how AI systems are built and used. Training modern AI models like deep neural networks and transformers is a highly parallel process. Billions of examples are fed through the network over days or even weeks, running across thousands of cores. Training requires massive throughput: heavy matrix multiplications, high-precision math, and huge amounts of memory bandwidth. Inference, on the other hand, the stage where a trained model is actually used, is usually real-time or interactive. Here, the priority shifts to speed and cost efficiency. Each inference query is smaller than training, especially with techniques like quantization (which uses lower-precision math), but it must be repeated continuously at scale. In simple terms, training is a one-time, compute-heavy expense that demands maximum horsepower, while inference is a continuous service that must be optimized for every single query. GPUs helped cut training times dramatically, sometimes by 10–50×, but as models grew, inference latency became a new problem for real-world applications like chatbots or self-driving cars. To complicate things further, some modern AI systems blur the line. For example, advanced chatbots often run multiple inference passes for a single question (a technique called chain-of-thought), which increases the compute needed for each prompt. As AI workloads have grown, the main problems have shifted. Back in the 2000s, developers mainly pushed for faster CPUs and GPUs. Today, the limits are often in data movement, memory capacity, and energy consumption. Moore’s Law is no longer automatically delivering performance gains, so system designers now depend on other strategies: parallelism (using GPUs and TPUs), distributed computing across many machines, and specialized hardware like ASICs and neural cores. Cloud providers adapted by offering GPU-powered instances, managed clusters, and serverless ML services that hide much of this complexity. However, this shift also brought new challenges around trust, high costs, and data privacy, problems that centralized solutions can’t fully solve. Decentralized vs Centralized Cloud Traditional cloud platforms offer powerful compute services, but they require users to trust a central provider with their data and algorithms, often at high cost. This creates risks around censorship, lock-in, and loss of data custody. Ocean Nodes take a different approach: they form a peer-to-peer network of compute where jobs are executed under cryptographic guarantees. Instead of moving private data into someone else’s servers, Ocean moves the algorithms to the data. This design keeps ownership with the user, ensures censorship-resistance, and can make use of idle GPUs worldwide at more competitive rates. In short, Ocean Nodes bring the performance of cloud compute but with privacy, openness, and decentralization baked in, and with their full rollout coming soon in September, this decentralized alternative to today’s cloud will soon be a reality. This decentralized approach also improves censorship-resistance and trustlessness. No single company can unilaterally shut down all nodes or ban users from the compute layer, the network is community-governed via smart contracts. In short, Ocean Nodes aim to match the reliability and scalability of Web2 compute while keeping “privacy as a first-class citizen” and avoiding central points of failure. Unlocking Real-World Value Ocean Nodes bridge cutting-edge tech with practical use-cases. Key benefits include: Privacy-Preserving ML: Sensitive datasets (medical records, mobility logs, finance, etc.) can be used in AI models without ever leaving the owner’s vault. Data remains encrypted using Ocean C2D, so privacy is maintained even during computation. Scalable AI Serving: Models can be hosted and served across the peer-to-peer network. Instead of overloading a single GPU cluster, requests can be load-balanced among many Ocean Nodes worldwide. This P2P approach can reduce latency (by bringing compute closer to data) & yielding an elastic, serverless AI inference layer. Idle Compute Monetization: Individuals and businesses with spare hardware (CPUs or GPUs) can list their resources on Ocean and earn fees. Think of it as an Airbnb for compute: unused cycles become a revenue stream, democratizing access to GPU farms. Cost-Efficient Development: Smaller teams and startups gain on-demand access to high-performance compute without owning it. Instead of investing millions in a cluster, a researcher can budget for crypto tokens. This lowers the financial barrier to experimenting with large models or big data, fostering innovation. Web3 Mobility and IoT: Ocean stack is already powering emerging Web3/DePIN projects. For example, in Gaia-X’s MoveID initiative (a European project for mobility data standards), Ocean tech provides the Compute-to-Data infrastructure. This allows vehicles, sensors, and infrastructure to share data securely in a decentralized digital identity system. More broadly, the idea of “decentralized physical AI” (DePAI), robots and vehicles with on-board AI that taps a distributed compute fabric, is exactly what Ocean Nodes enable. Ocean Protocol compute layer, therefore, translates to real value: it makes privacy-friendly AI on health and mobility data possible, scales model deployment via a global P2P mesh, turns idle GPUs into income, and slashes costs for innovators. Compute is the fuel of AI, and Ocean Nodes are opening a decentralized refuelling station. By learning from decades of hardware evolution (from monolithic mainframes to fleets of GPUs), Ocean’s approach applies the latest in containerization, encryption, and token economics to meet the next generation of AI needs. For developers and AI practitioners, this means more scalability, privacy, and flexibility, without sacrificing performance. The age of centralized compute is meeting its successor, and Ocean Protocol is driving the transition toward a more open, efficient, and trustless compute future.

  28. Published Social post

    Ocean Protocol (@oceanprotocol)

    If you’re running an AI job, and that’s the only proof you get. Well, you’re trusting a black box. Ocean Nodes change that with On-chain verifiable compute, cryptographic proofs that your job ran exactly as specified, on the right data, with no leaks or tampering. Benefits? 1. Provable AI outputs for regulated industries 2. Trustless collaboration between data owners & AI devs 3. Tamper-proof audit trails for every compute cycle Soon, the standard for verifiable AI: https://t.co/0f0gHZ8pfE

  29. Published Social post

    Artificial Superintelligence Alliance (@ASI_Alliance)

    The ASI Alliance, together with its official DevRel partner @fetch_ai_IL, is bringing a $10,000 prize pool to @ETHGlobal New York 2025. Backed by @SingularityNET, @oceanprotocol, and @Fetch_ai, this challenge invites developers to shape the future of autonomous AI agents. See Here: https://t.co/dwZnHqrlsF The competition focuses on building within an open, modular marketplace where agents can – discover and interact with each other – connect to APIs and external services – reason over structured knowledge – act seamlessly across multiple blockchains. Core technologies powering the challenge include – uAgents for autonomy and secure agent identity – Agentverse for listing, hosting, and orchestration – ASI:One for human–agent interaction – MeTTa for advanced reasoning and cognition – Ocean for decentralized data access and compute-to-data. Prize structure - 1st Place ($5,000): best use of ASI:One + MeTTa or Ocean - 2nd Place ($3,000): best Agentverse listing - 3rd Place ($2,000): best multi-agent system. From August 15–17 at ETHGlobal New York, participants will design and deploy agents that merge knowledge, data, and action into next-generation AI systems.

  30. Published Social post

    Ocean Protocol (@oceanprotocol)

    Instead of moving sensitive data, Ocean sends your algorithm to where the data lives The result? Privacy stays intact, perfect for regulated or high-risk datasets In this clip, @FazakasBogdan from our engineering team explains why this matters for the future of AI More on Compute-to-Data: https://t.co/j6nEBxRAxM

  31. Published Social post

    Ocean Protocol (@oceanprotocol)

    AI needs more than data, it needs trust in the data With Ocean’s on-chain tracking and Compute-to-Data, AI models can train on private datasets without ever moving them Here’s how it works: 1. Publish with Data NFTs – Data owners mint a Data NFT in Ocean, registering the dataset on-chain with a cryptographic proof (hash) while keeping the raw data private 2. Train via Compute-to-Data – AI models run on the dataset in secure, off-chain environments using Ocean Compute-to-Data, so the data never leaves the owner's control 3. Verify on-chain – The compute job posts a tamper-proof record (attestation) on-chain through Ocean smart contracts, proving it was executed as agreed 4. Automatic payment – Once the proof checks out, Ocean payment smart contracts release the funds instantly to the data provider & compute node With this, AI can tap into private, high-value datasets while data owners retain full control and privacy, with every transaction transparently tracked, verified, and economically aligned on-chain https://t.co/M0qOhbDJam

  32. Published Social post

    Ocean Protocol (@oceanprotocol)

    Let your AI do the heavy lifting—and the earning! Send your bot’s UP/DOWN calls to ASI Predictoor and stack crypto rewards for every nailed prediction. 🚀 https://predictoor.ai 📖 Read this week's reward details on our blog: https://blog.oceanprotocol.com/df153-completes-and-df154-launches-384b58b402b9

  33. Published Social post

    Grayscale (@Grayscale)

    Grayscale, in partnership with @FTSERussell has launched the Artificial Intelligence Crypto Sector to recognize the growing importance of decentralized AI infrastructure. This new sector identifies blockchain-native projects enabling AI platforms, tools, and agents — a $21B* and… https://t.co/PjJ2P0hUpv

  34. Published Social post

    Ocean Protocol (@oceanprotocol)

    As we move toward frontier technologies like brain-computer interfaces & advanced AI, privacy becomes essential To protect both personal data and neural signals, we need sovereign tech for compute and data Ocean founder @trentmc0 explores this shift and the transformative potential of BCI applications in his talk at @Web3summit 2025 Watch here: https://t.co/Vb8H485dRB

  35. Published Social post

    Ocean Protocol (@oceanprotocol)

    Turn predictions into profits! Send your AI’s UP/DOWN crypto price predictions to ASI Predictoor and collect crypto rewards for every bull-or-bear win. 👉 https://predictoor.ai All the reward deets in our latest blog post: https://blog.oceanprotocol.com/df152-completes-and-df153-launches-a113c9b8480b

  36. Published Social post

    Ocean Protocol (@oceanprotocol)

    You’re not just running code You’re running decentralised AI compute on live data, without ever touching cloud servers Ocean Nodes handle the heavy lifting, privately and on your terms In this clip, our engineer Maria walks you through how it actually works More on… https://t.co/91gZD8RvCk

  37. Published Social post

    Ocean Protocol (@oceanprotocol)

    Stop letting your AI sit idle—make it mint. 💵 Submit your AI's (accurate) UP/DOWN crypto price predictions to ASI Predictoor and get paid in crypto when you nail it. 🔗 https://predictoor.ai 🧠 Rewards breakdown in our latest blog post: https://blog.oceanprotocol.com/df151-completes-and-df152-launches-5cc065abde8c

  38. Published Social post

    Ocean Protocol (@oceanprotocol)

    Oceaners, Phase 1 of Ocean Nodes wraps July 31 Over 1.71M nodes launched worldwide. Your contributions laid the groundwork for what’s next Phase 2 arrives in September: GPU-powered compute, paid jobs, and performance-based rewards for real-world AI We’re entering a short transition to test upgrades and refine the system. Phase 1 rewards end July 31 to make space for what’s coming More details in the blog: https://t.co/ji7W9S7WOs

  39. Published Social post

    Ocean Protocol (@oceanprotocol)

    You wrote the gene. You trained the model So why does someone else own the data? Ocean Data NFTs let you mint your sequences, models, and datasets as verifiable on-chain assets, timestamped, auditable, and tied to your wallet With datatokens, you can license a gene for research, offer API access to your model, or split royalties with collaborators, all enforced by smart contracts Every version, license, and access log is recorded and traceable, ready for IP filings, publications, or compliance checks Explore more: https://t.co/MfeEuS3R1Z

  40. Published Social post

    Ocean Protocol (@oceanprotocol)

    AI is leaving the screen and entering the world through Physical AI, robots, drones, and wearables These systems perceive, decide, and act in physical space, demanding real-time, low-latency data and precise contextual awareness Centralised cloud architectures introduce unacceptable latency and data sovereignty issues. Ocean tech enables secure, decentralised computation to locally-generated data through Compute-to-Data & orchestrating AI training across distributed nodes In essence, Ocean transforms raw edge data into actionable intelligence, without sacrificing privacy Learn more: https://t.co/0f0gHZ7Rq6

  41. Published Social post

    Ocean Protocol (@oceanprotocol)

    🎯 Put your model where the money is. Feed your AI’s UP/DOWN calls into ASI Predictoor and earn crypto when you’re right. Start now: https://predictoor.ai 📘 Get the full rewards details in our latest blog post: https://blog.oceanprotocol.com/df150-completes-and-df151-launches-6a0a29b76ab8

  42. Published Social post

    Ocean Protocol (@oceanprotocol)

    The AI world has been obsessed with models, but real progress is in shifting focus from tweaking algorithms to improving datasets Yet, curating high-value data at scale raises issues of access, provenance, and ownership Ocean’s tech stack provides the substrate for this by enabling permissioned access to private data via datatokens, ensuring provenance through on-chain metadata, and enabling secure compute through Ocean C2D Explore the practical applications: https://t.co/M0qOhbEgZU

  43. Published Social post

    Ocean Protocol (@oceanprotocol)

    How do you go from “What are AI agents?” to “I’m building one” in under 10 minutes? The next internet won’t be made of websites and apps. It’ll be autonomous agents software that runs on your data, makes decisions, and learns over time Some agents follow simple rules. Others plan, adapt, and evolve with experience. The most powerful ones improve on their own, no constant retraining, no manual updates With the Ocean VS Code extension, building one is simple You write the logic, connect your data, and launch training jobs securely through Ocean’s decentralised compute network without leaving your editor Logs, performance, results, it’s all there. And once your agents are ready, you can deploy them as a compute service with a single command No backend. No cloud lock-in. Just you, your AI, and full control Start here: https://t.co/BontJkOAF0

  44. Published Social post

    Ocean Protocol (@oceanprotocol)

    Let AI do the heavy lifting—and the earning! Train your AI bot to call UP/DOWN moves on ASI Predictoor, score crypto rewards for every win, and watch your balance grow. 🔗 https://predictoor.ai 📚 Check out our blog to see how it works: https://blog.oceanprotocol.com/df149-completes-and-df150-launches-dacb1fca1d4d

  45. Published Social post

    Ocean Protocol (@oceanprotocol)

    AI devs & data pros ready to take your skills further? Join our next hands-on workshop: “How to Analyse Potential Rug Pulls Using the Ocean Stack” In just 50 minutes, you’ll learn how to: -Use the Ocean VS Code extension -Launch Compute-to-Data jobs on Ocean Nodes -Run a live Rug Pull Analyser on token data Choose your time zone: • July 8, 12 PM CET -> https://t.co/SNxunfRyct • July 10, 7 PM CET -> https://t.co/hJ0JdMJADI Join us on Discord: https://t.co/btBwRq7onR Build smarter, safer AI with decentralised compute

  46. Published Social post

    Ocean Protocol (@oceanprotocol)

    LLMs rely on massive, high-quality datasets for training and fine-tuning. But critical questions arise: 1. Where does this data come from? 2. Is it legally sourced? 3. Are the original contributors fairly compensated? Ocean Protocol addresses these challenges head-on by introducing a decentralised, ethical data economy: a) Data ownership at the source - Ocean CLI enables users to tokenise and take control of their data b) Granular access control & licensing - Powered by on-chain datatokens, ensuring traceability and compliance c) Royalty-based usage models - Built-in crypto incentives reward data providers whenever their data is used Ocean makes the training data supply chain transparent, monetizable, and compliant, a critical foundation for scaling LLMs the right way

  47. Published Social post

    sqd.ai (@helloSQD)

    The institutions aren't ✨coming✨ They are already here. And soon they'll be using onchain data powered by us. Quote [@OceanStreamData](https://www.twitter.com/OceanStreamData/status/1938260524560420977) > Within the first weeks of our public existence, we've already hit a milestone: our first big partnership. > > The integration with Rose AI provides us with direct access to major financial institutions, such as JP Morgan and Goldman Sachs. > > https://t.co/JYB8mnUpzw

  48. Published Social post

    Ocean Protocol (@oceanprotocol)

    Turn your AI brains into crypto gains! 🤖💰 Build a bot that predicts UP/DOWN moves on ASI Predictoor and earn crypto rewards for every accurate forecast. Sign up ➡️ https://predictoor.ai 📖 Learn how the rewards work in our latest blog post: https://blog.oceanprotocol.com/df147-completes-and-df148-launches-542380eaaccd

  49. Published Social post

    Ocean Protocol (@oceanprotocol)

    Make more $ by using AI ✨ Get crypto rewards when your AI bot predicts UP / DOWN crypto price movements accurately and submits the predictions to ASI Predictoor. Join at https://t.co/jXPSx5rvDq Learn about the rewards in our latest blogpost: https://t.co/tCyWb3DTQp

  50. Published Social post

    Ocean Protocol (@oceanprotocol)

    Put your AI to work, and make more $! Our ASI Predictoor program gives crypto rewards to AI bots that accurately predict crypto price directions: UP / DOWN every 5m / 1hr. Give it a try, and submit your AI bot today! Join at https://t.co/jXPSx5rvDq https://t.co/q78yeTNZ1J

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