DGrid AI

💡 DGrid AI is a Decentralized AI Smart Network for Cost-effective, Reliable & Verifiable AI. One API, ALL LLMs. 🌟TG:

[DGrid AI @dgrid_ai]

🚀 It's Happening - $DGAI Trading Is Live

$DGAI, the utility token powering the decentralized #AI Smart Network, is now trading across:
📍 @okx
📍 @krakenfx
📍 @kucoincom
📍 @bitget
📍 @Gate_io
📍 @MEXC
📍 @PancakeSwap

🚨 $DGAI CA(BSC): 0x10D4183389e99233db3cc981c43443Ebd28Ebd5e

Trade only through official exchange links and always verify the contract address.

The next phase of #DGrid begins now.

#TGE #Listing

[DI (Decentralized Intelligence) @Didotxyz_]

Better AI Agents need better infrastructure.

Excited to partner with @dgrid_ai 🤝

By connecting DGrid’s Model Marketplace with DI’s Agent Network, we’re working toward broader model access and inference support for collaborative AI agents.

More to come as our integration progresses. ⚡

[DGrid AI @dgrid_ai]

🎉 Excited to team up with @Didotxyz_!

Built on a crypto-native model, DI's AI + crypto intelligence ecosystem connects market data, event research, quant products and interoperable agents.

⚡DGrid'll support DI’s Agent Network with an efficient, low-cost #AI API for model access and verifiable inference.
https://t.co/U5fvBargBl

[DGrid AI @dgrid_ai]

⚡️Claude Fable 5.2 from @claudeai is now on DGrid AI.

Built for the most ambitious technical work. A step above Opus 5.5 on nearly every capability Anthropic tested, and up to 30% faster than Fable 5.1.
🔸 Improvements in coding, reasoning, and vision
🔸 Clearer communication than previous Fable models
🔸 On FrontierCode 2.0, High effort matches Opus 5.5 Max at roughly half the cost per task

Try it now:
https://t.co/p0QyFXGIFL

#DGrid #AI

[Claude @claudeai]

Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.

They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.

[DGrid AI @dgrid_ai]

@BaluardoTrade To be clear: seven working days is the outer limit of the review window, not the expected wait.

[DGrid AI @dgrid_ai]

📢 Announcement: DGrid AI Arena Cracks Down on Bulk Registration and Abusive Activity

At its core, DGrid AI Arena was created to collect authentic human preference data on AI content and applications. These insights help us continuously improve our AI products and infrastructure while contributing to the development of a more user-driven AI ecosystem.

To thank community members who participate consistently and contribute genuine data, DGrid AI provides points to eligible participants, which can be redeemed for $DGAI. These rewards are intended for everyone who participates in good faith, and we are committed to ensuring that all participants are treated fairly under the same rules.

Recently, however, we identified signs of mass account creation and other suspicious activity involving certain accounts. Such practices can compromise the authenticity of AI Arena’s data, affect the reliability of its results, and unfairly reduce the rewards available to genuine participants.❗️

To protect the interests of the community and preserve the integrity of both AI Arena and its rewards program, DGrid AI has introduced anti-bot and abuse detection measures. Accounts flagged as potentially high-risk may have their $DGAI redemption access temporarily suspended while they undergo further review.

A temporary suspension does not, by itself, constitute a final finding of misconduct. If you believe your account has been flagged in error, or that it has not engaged in any suspicious activity, please submit an appeal through our official form:
Appeal Form: https://t.co/RKkGlRNCWX

Each appeal will be reviewed carefully based on the account’s activity history and the information provided. If the review confirms that no suspicious activity took place, we will notify you by email and restore the relevant redemption access within 7 working days of receiving your appeal.

Please submit your appeal using the email address associated with your account and provide accurate, complete information. Each account should submit only one appeal; duplicate submissions will not expedite the review process. To protect user privacy, we will not publicly discuss individual accounts or case-specific review details.

We understand that changes to account status may raise questions, and we welcome constructive feedback through official channels. The spread of unverified information cannot replace the formal appeal process or influence our review standards. Please refer to official announcements and the designated appeal channel for accurate information, and respect other community members throughout the process.

DGrid AI will continue to uphold consistent standards to protect the fairness, integrity, and long-term value of AI Arena. We are grateful to everyone who participates genuinely and contributes to the growth of the DGrid community.

DGrid AI
November 9, 2026

[DGrid AI @dgrid_ai]

🚨 AI is booming, but trust remains a core issue — users still can’t easily verify they’re getting the model and quality they were promised.

🫡 Anthropic’s FlashProve is an important step toward verifiable AI, cryptographically proving that a response came from the claimed model.

In multi-model, multi-provider environments, we take a complementary path with PoQ(Proof of Quality): multi-dimensional quality assessment + on-chain verifiable proofs to continuously check that the service matches what was promised.👀

Different technical paths, same destination: verified AI.

📑 More on our PoQ research: https://t.co/oW6pVmEIYC

#DGrid #AI

[Anthropic @AnthropicAI]

New Anthropic research: progress on provable inference for large language models.

Here, we introduce FlashProve. Building on established cryptographic techniques, FlashProve allows developers to verify whether a given response came from a given AI model. It’s substantially more efficient than prior open-source methods for doing so.

These proofs have a range of applications. They can, for instance, make it harder for attackers to hijack a chat, or enable safety evaluators to verify that the model they’re testing is the same one being served to customers.

For our full write-up, see here: https://t.co/OIZWPb6QZa

Further progress in provable inference will likely be an important part of improving trust in AI deployment. To that end, we're open-sourcing FlashProve’s code, here: https://t.co/7ky3Ir8V06

We’re grateful to our collaborators: Alessandro Chiesa, @GiacomoFenzi, @gwberg95, @miranda__christ, Rahul Dalal (https://t.co/pjWKLHWXyz) and Ben Mayer (@transmissions11).

[DGrid AI @dgrid_ai]

@wolfgangg37 @OpenAI No official context window listed yet. Prompt is capped at 32k characters, max 16 reference images.

Pricing: $5/M text input, $8/M image input, $30/M image output.

[DGrid AI @dgrid_ai]

✨New image models from @OpenAI just landed on DGrid AI.

GPT-Image-2.6 Flare and Sunburst — 50% faster generation overall.

🔸 Flare generates images in as little as six seconds
🔸 Sunburst delivers higher quality and better consistency across edits

Image markup and SVG exports also included.

Try them now:
https://t.co/fIsI226qVM
https://t.co/hhh3ujxVIf

#DGrid #AI

[OpenAI @OpenAI]

Images, upgraded—introducing ChatGPT Images 2.6.

Now with GIFs and reference images.

Plus, two new models are coming to the API with 50% faster image generation.

[DGrid AI @dgrid_ai]

💡 Our sixth paper is out!

FIDES-Live: Evaluating Behavioral Concordance in Sequential Trading Agents

An AI trading agent can submit a valid order, have it rejected, and still report that the trade was completed. A correct account balance alone would not reveal this discrepancy.

In this paper, we examine whether an agent’s decisions, proposed orders, execution outcomes, and subsequent reports agree with one another. We introduce FIDES-Live to audit this behavioral concordance through the records produced during each trading round.

We audited 10 requested inference routes across 7,609 account-rounds in cryptocurrency and an equity pilot, using real market observations and local paper execution.

Key findings from the cryptocurrency traces:
🔹 Decision validity reached 97.35%, while structured reporting accuracy was 90.81%, among scorable responses.
🔹 Commitment adherence was 94.36% overall, but only 62.63% for constraints declared with nonempty order proposals.
🔹 Only 25.13% of valid decisions declared a nontrivial commitment. Coverage and activity matter when interpreting adherence.

Across both environments, every retained round’s cash and positions reconciled with recorded fills. Yet all 10 routes had negative marked returns in the settled cryptocurrency session.

✅ Valid decisions do not guarantee accurate reports.
✅ Ledger reconciliation does not establish profitable trading.

Trading agents need to be evaluated across decisions, commitments, execution, and reporting, with financial outcomes measured separately.

Full Paper:
https://t.co/lyxHPNtoAy

[DGrid AI @dgrid_ai]

🚨DGrid Model Marketplace Now Processes 60B Tokens and 2M+ API Calls Every Day

A shared achievement for everyone building with us.🥳

DGrid Model Marketplace now handles production-scale AI workloads every day. Behind these numbers are providers making their models available, developers building them into products, and #AI Agents running real tasks around the clock.
🔸2M+ API calls per day
🔸60B tokens processed per day
🔸200+ models available
🔸100+ providers on the marketplace

#DGrid Gateway routes real demand across 100+ providers, up from 30+ earlier this year. Agent workflows and long-context applications account for most of the marketplace’s daily token usage.

To every provider and developer who helped us get here: thank you. Every model listed and application shipped helps this marketplace grow.🧡💛

Next, we’ll improve model discovery, integration, and inference performance—helping providers reach more users and developers move faster from first API call to production.

Built on real usage. And we’re just getting started.
https://t.co/mRI14AulwL

[DGrid AI @dgrid_ai]

The goal is to keep setup simple and your workflow familiar. Connect with your DGrid API key, choose your Claude model, and keep building in Claude Code. Our guide walks through each step, including verifying the connection.

For screenshots, local settings, and error-specific fixes, read: https://t.co/pqvHwKFMc9

[DGrid AI @dgrid_ai]

Claude Code × DGrid #AI Gateway ⚡

From your #DGrid API key to your first successful response—every step, documented. Our integration guide covers CLI and desktop setup, with configuration examples and troubleshooting along the way.

👇Connect your workflow.
https://t.co/PzBaHl2LsV

[DGrid AI @dgrid_ai]

🤔 The interface gets simpler.

The infrastructure has to get more #decentralized. Agents will need open, verifiable access to #AI models and other agents.

That’s what @dgrid_ai is for. 👇
https://t.co/QVjBjiz0Xm

[Anthony Pompliano 🌪 @APompliano]

I have been thinking a lot about the rise of AI agents and how it will change the way we interact with internet products.

It feels like we have officially left the Internet 2.0 era and are now in the take-off phase of Internet 3.0.

The biggest change I see happening in our day-to-day lives is a lack of future interactions with multiple product interfaces.

Rather than navigating to various websites and using these products like neanderthals, we are more likely to talk with our agents, then these agents will "use" the internet and various products.

Everything becomes more digitally connected, including information and money, but we see a massive overhaul of the consumer internet experience at the same time.

You can think of this as the internet plumbing getting more complex, but the interface getting simpler.

This will be very obvious when it comes to software interfaces. I also see the same trend happening with how we interact with our computers and phones.

The amount of typing done by the average worker will quickly contract the same way that writing with a pen has largely contracted as a percentage of overall communication.

Speaking is faster than typing. It is easier and more natural. And it will unlock productivity, which drives economic returns for people and companies.

We will look back and think it is ridiculous that we used to put our hands on a keyboard, type in a URL, navigate to a website, and click a bunch of buttons to accomplish something.

You can see early signs of this shift towards simple, agentic workflows today. There is still a ton of opportunity ahead though.

I would love to hear whether others are seeing these shifts in their own behavior over recent months?

[DGrid AI @dgrid_ai]

🚨 Kimi K3.1 Pro and K3.1 Pro Highspeed from @Kimi_Moonshot are now on DGrid AI.

Moonshot’s most capable 3T-class open-weight model — 1M context, multimodal, and matching the strongest proprietary models on coding, agentic, and knowledge work.

✨ Full-project coding: games in Unreal, Unity & Godot
✨ Strong at parametric 3D modeling in Blender & CAD
✨ More reliable finance work; hallucination down 65%
✨ Highspeed version runs 2–3× faster

Try them now:
���� https://t.co/igmfT3jUYs
🔗 https://t.co/lu2Omo7SNb

#DGrid #AI

[Kimi.ai @Kimi_Moonshot]

Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.

🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.

Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on https://t.co/85jA71X9gw, Kimi Work, Kimi Code, and the Kimi API.

Open weights by Nov 4, 2026.

🔗 API: https://t.co/XCrgjXAqMw
🔗 Tech blog: https://t.co/5iPP0MBej6

[DGrid AI @dgrid_ai]

🔥 DeepSeek-V4.1-Flash-1017 from @deepseek_ai just landed on DGrid AI.

Stronger benchmarks, faster task completion, and shorter outputs than the previous version — a Pareto improvement in performance and cost.

🔸 Better end-to-end project work, from game creation to 3D modeling
🔸 Optimized for DeepSeek Harness and coding agents
🔸 Open weights available

Try it now:
https://t.co/87KTEF7DjB

#DGrid #AI

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4.1-Flash-1017 is here!

Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.

🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.

1/4

[DGrid AI @dgrid_ai]

🧡 Excited to join The Blockchain 100 as an Ally Partner!

Looking forward to celebrating the creators driving the space forward with @binance ⚡️

[Binance @binance]

You nominated. We shortlisted. Now you decide.

Voting for The Blockchain 100 is open 👇
https://t.co/RBhzo1Fb5G

[DGrid AI @dgrid_ai]

👀 Bitget is now offering 25% APR on $DGAI in Simple Earn Flexible.👇

https://t.co/DRjVQN9Dav

[Bitget @bitget]

Put your idle assets to work with Bitget Simple Earn! Enjoy up to 365% APY.

New rates just dropped. Start earning now!

Start here: https://t.co/W9dA5NisUU

[Bitget @bitget]

Put your idle assets to work with Bitget Simple Earn! Enjoy up to 365% APY.

New rates just dropped. Start earning now!

Start here: https://t.co/W9dA5NisUU

[DGrid AI @dgrid_ai]

🥳 Introducing DGrid Auto Deposit.

Set your trigger balance, target balance, approved limit, and expiry date. When your balance runs low, #DGrid tops it up from your authorized wallet, helping long-running #AI tasks, services, and workflows stay funded and running.

👇Tutorial:
https://t.co/iqNk0zyriR

[DGrid AI @dgrid_ai]

🔥 Muse models from @AIatMeta are now on DGrid AI.

Wonder just launched. Spark 1.3 and Image are now available too.
🔸 Muse Wonder — Meta’s most capable model yet. Frontier performance for personal and professional agentic tasks.
🔸 Muse Spark 1.3 — Tuned for agentic workflows, with stronger coding than 1.2.
🔸 Muse Image — Agentic image generation and editing.

Try them now:
https://t.co/aM8QOwIqFZ
https://t.co/GzvY9UmncR
https://t.co/diZ3u4Dy9Q

#DGrid #AI

[AI at Meta @AIatMeta]

We’re excited to introduce the Muse Wonder series with Muse Wonder and Muse Wonder Full, our most capable models yet. Both are frontier models, built to deliver state-of-the-art performance for personal and professional agentic tasks.

Muse Wonder is available today via the Meta Model API and Muse Code. Muse Wonder Full is available today for Muse Code subscribers. Muse Wonder will also soon power experiences in our personal agent product, Muse, rolling out first to subscribers.