
Enabling Truly Personalized Conversational AI | Data Powered by @readyai_ Bittensor Subnet 3️⃣3️⃣ 🌐
Joined March 2024
- Tweets96
- Following42
- Followers274
- Likes103
Conversation Genome retweeted
Crypto tokenomics has lost its way.
Fair launches copying Bitcoin focused only on "no premine" but missed its core insight:
Tokens must be EARNED through real value contribution by participants.
$TAO is the only project that truly understands this fundamental principle.
Conversation Genome retweeted
High quality structured data is the secret to superior AI agents 🤖
Watch how the @ReadyAI_ Jobs Interface transforms raw Twitter data with rich metadata for RAG
Build better AI agents with our SN33 pipeline.
Try it now with any HuggingFace dataset: readyai.ai/p/data_pipeline
Conversation Genome retweeted
Transform your social media & company data with enterprise-grade sentiment analysis 📊
ReadyAI delivers ScaleAI-level accuracy at a fraction of the cost. No human annotation needed.
Try it FREE now: readyai.ai/p/data_pipeline
Built on $TAO 🔥
Conversation Genome retweeted
Our team brings together founders with billion-dollar exits, deep AI/ML expertise, and decades of experience with giants like Google, Disney and Intuit. Building the future of AI data infrastructure @ReadyAI_ 🤝
Our strategic vision and roadmap in detail 👇
Conversation Genome retweeted
The ReadyAI flywheel is in full motion: More miner competition → Better accuracy → More customer demand → Higher dTAO value → Even more competition. Creating a virtuous cycle of continuous improvement in AI data structuring 🔄
Read our full strategic vision & roadmap 👇
Conversation Genome retweeted
ReadyAI's decentralized annotation platform is delivering results that are 86% more accurate than human annotation and 51% more accurate than GPT-4o, while significantly reducing costs through automated QA. The future of AI data structuring is here 🚀
Conversation Genome retweeted
Great conversation in DC with @SenLummis, @MarshaBlackburn, @SenatorTimScott & others on keeping innovative crypto companies in the US. They recognize how crucial crypto & AI are to our nation’s competitiveness. Excited to keep working together to drive this innovation forward 🇺🇸
Conversation Genome retweeted
With dTAO launching tomorrow, we want to share our full strategic vision and roadmap for @ReadyAI_ on $TAO
Try our structured data product today for free here: readyai.ai/p/data_pipeline
Conversation Genome retweeted
ReadyAI 2.0 is here!
Process raw data from ANY Huggingface dataset into structured outputs
Get your data AI-ready
It’s a big leap toward decentralized Scale AI.
Try it now: readyai.ai/p/data_pipeline
Also see our roadmap for the next 6 months 👇
ReadyAI 2.0 is here! AI-Ready Data with the Jobs Interface
ReadyAI just launched our Jobs Interface Beta, a powerful frontend that enables organic queries on Subnet 33. This new interface allows end users to process raw data from any Huggingface dataset into structured outputs tailored to their needs. Try it now: readyai.ai/p/data_pipeline
This milestone is a significant step toward our vision of becoming a decentralized Scale AI. ReadyAI empowers individual developers and enterprises of all sizes to make their data AI-ready, seamlessly integrating it into AI models and applications.
Organic Queries: The Next Era for the ReadyAI Ecosystem
We have initiated the next phase of our journey with the introduction of organic queries into the miner incentive system. This phased rollout ensures:
Fair Miner Scoring: Maintaining fairness and high-quality outputs for all contributors.
Structured Data Integration: All Tagging queries processed through the Jobs Interface will now be scored alongside conversation data.
New Data Sources: Social media data, starting with SN13 Dataverse Reddit data, will be incorporated as an organic query source.
Data tagging and structuring are pivotal steps in the AI Agent pipeline. With the increasing demand for real-time, high-quality data for retrieval-augmented generation (RAG) systems and fine-tuned models, ReadyAI is uniquely positioned to lead this transformation. Over the next couple of months, we will showcase AI Agents powered by our structured data pipeline.
6 Month Roadmap
1. Organic Queries / Jobs Interface
Initial Rollout: Organic Tagging queries are live via the Jobs Interface on readyai.ai/p/data_pipeline right now and are being processed by the ReadyAI validator.
Other validators may adopt this new branch, but we will be testing with ours to ensure vTrust and tag quality remains high before rolling this out more broadly.
Social Media Data Expansion: After validating the initial rollout, we plan to increase the proportion of validator windows processed from social media datasets from Macrocosmos Dataverse (SN13).
2. Incentive Design 2.0
Enhanced Capabilities: We are upgrading our incentive system to support metadata tagging for arbitrary text data. This includes single-label and multi-label categorization.
Competitive Positioning: These improvements will achieve product parity with Scale AI's structured data offerings, reinforcing ReadyAI's position as a high-quality, cost-effective alternative.
3. AI Agent Launches Powered by ReadyAI
AI Agent Partners: We are collaborating with partners to launch AI Agents powered by ReadyAI's structured data pipeline within the next 1–2 months.
These AI Agents will demonstrate the power of structured data pipelines for RAG systems and real-world applications.
4. Integrating Data Scraping with SN13
ReadyAI as the Data Frontdoor for Bittensor: We are collaborating with SN13 to incorporate data scrapping and structuring on data into our frontend.
We are currently validating on SN13 and starting to provide structured data around Reddit/Twitter datasets they have created.
Next up: enable users to choose data for scrapping and then data structuring.
5. Enterprise Sales
New Leadership: We recently hired a Director of Sales with a proven track record of driving $15 million in software sales over the last two years.
Accelerated Growth: With the Jobs Interface live and increasing demand for structured data, we are scaling our enterprise sales offerings to onboard new customers.
6. Image/Video Metadata Tagging
Integration Testing: Image metadata tagging, a critical business line for Scale AI, is being tested for integration into the subnet.
Conversation Genome retweeted
ReadyAI 2.0 launching next week...can't wait to show you what we have been cooking up for dTAO
$TAO
Conversation Genome retweeted
We are looking for a ROCKSTAR developer to join our team @ReadyAI_ and there is something in it for YOU
If you refer the candidate we hire, we will gift your choice of either $10K in Cash or $BTC or $11,111 in $TAO
You get upside as we push $TAO
Job description / FAQ👇
linkedin.com/jobs/view/40826…
FAQ:
-Yes, this is real.
-Yes, this job is legitimately badass. Working with ex-Google, Intuit, Disney team. If you refer someone, they will be psyched.
-Yes, you can refer yourself and get this as a signing bonus.
-Just one signing bonus per hire. Can be split for two-step referral. You need to be the first one to have introduced and if the person themselves submits first they receive the signing bonus and there is no referral.
Conversation Genome retweeted
Really enjoyed chatting with Grant @VenturaLabs about the importance of structured data for AI models and the future of @ReadyAI_ on Bittensor 🫡
SN3⃣3⃣
$TAO
@opentensor
Ventura Labs Ep. 7 - David Fields
David (@DavFields) is the Founder of ReadyAI (@ReadyAI_) and Afterparty (@afterparty)
Timestamps:
0:55 - Introduction
1:36 - What is ReadyAI
4:40 - The Team Behind ReadyAI
7:58 - The Significance of Bittensor
11:15 - Impact of EVM Smart Contracts
14:50 - Importance of Structured Data
16:37 - ReadyAI Approach to AI
19:19 - Decentralization vs Centralization
23:18 - Performance Metrics
25:25 - Future Direction
28:09 - Social Media Data
32:13 - Expanding to Vision
35:34 - Roadmap
37:11 - dTAO
44:07 - Commercialization of Subnets
49:10 - How to Find Product Market Fit
Conversation Genome retweeted
Founder @DavFields talks @ReadyAI_ roadmap and future of Bittensor with @markjeffrey on Hash Rate
SN3⃣3⃣ $TAO
Enjoyed chatting with @markjeffrey about our plans with @ReadyAI_ to build a decentralized ScaleAI on $TAO
Data annotations done with @ReadyAI_ are already 71% more accurate than MTurk benchmark and 600x cheaper.
And we are just getting started 🫡
@opentensor
Conversation Genome retweeted
ReadyAI is delivering 71% MORE ACCURATE structured data for AI models at 600x LOWER COST than human annotation services like MTurk and ScaleAI
All this in our first 100 days since launch and we are just getting started 🫡
Presentation on our roadmap at the Bittensor meetup👇
$TAO @opentensor 🤝 @ReadyAI_
Conversation Genome retweeted
Excited to co-host this with some of our favorite builders and investors in $TAO @opentensor
Come join us for a great discussion on all things Bittensor 🫡
@afterparty @ReadyAI_ @jasminervaa @TensorplexLabs @_kaitoai @myshell_ai @inference_labs @404gen_
Join us for the 2nd @opentensor Asia Community Meetup during #Token2049 🇸🇬!
There has seen many exciting developments and it is a perfect opportunity for the ecosystem to come together!
$TAO
lu.ma/wlm6qt2a
Conversation Genome retweeted
Secret Sauce = AI Ready Data
Fine-tuning models? Here's what you need to know:
1. Data is the most important factor, not the model itself. Focus on thoroughly preparing and testing your data.
2. Avoid vendor lock-in. Ensure you can always export the model weights to something like huggingface
3. Start with fine-tuning a GPT-4 model to get comfortable with the process.
4. Measure success easily by using well-defined success metrics and make trade offs on performance
5. Don't obsess over tools. The key is data quality and thorough evaluation.
6. Ask yourself these questions:
- How do I export the data?
- How do I measure improvement?
- Is the performance boost worth the cost?
Remember: In fine-tuning, the data is the primary focus. The model is merely a constraint.
Conversation Genome retweeted
The power of decentralized infrastructure
Groq 1200 tokens per second for Llama 3 8B
SN4 on @bittensor_ 2286 tokens per second 🤯
Incentivize speed and you get results
Incredible work @manifoldlabs 👏👏
$TAO
2286.70 tokens per second.
Make your backend decentralized.
@manifoldlabs
P.S. Don't overuse my API key.
Conversation Genome retweeted
Excited to join our friends in Singapore at #TOKEN2049 and chat all things Bittensor with some of the best builders and investors in the space
@jasminevaa
@_kaitoai
@TensorplexLabs
@0xai_dev
🫡
See you there! $TAO @opentensor
















