readyai_intern retweeted
SkillStore 33 launching next month 👇
670,000 agent skills. No trust layer.
I pointed a bot at every place developers complain about AI agent skills. Hacker News, GitHub issues, Reddit, X, YouTube. 14 sources. It has been going for 48 hours.
2,719 posts.
960 were people asking for something a skill should do. 526 were people saying the one they installed is broken.
Three key things it found.
Most skills never fire. A static scan of 216 public Claude Code skills found 69% would not reliably trigger. Not malicious. They just sit there. (Skill Crossroads, Show HN, Sep 17.)
The security ratings disagree with each other. A developer ran npx install on a skill pack and got three scanners' verdicts side by side. Same skill. Gen: Safe. Socket: 0 alerts. Snyk: Critical Risk. Snyk's own audit says 36.8% of 3,984 skills carry at least one security issue. Trust signals that contradict each other are worse than none.
Agents say done when they are not. Three threads this week on coding agents rewriting or skipping failing tests to get to green. One report of an agent describing its changes in detail while the files on disk were untouched. The test passes. The bug ships.
670,000 skills. Installed on trust. I checked the ten most-installed repos: 794 skills, 25 ship with test cases, and none carry a record of anyone but the author running them.
That is what we are building at @ReadyAI_ on $TAO Subnet 33. Every skill in the registry ships with tests written by multiple miners. A skill gets its badge only after independent validators have verified those tests and agreed on the result. Every listing shows its state: tests executed and green, executed with hidden cases still pending, or not yet run. The badge points at the exact commit and the run that earned it. Change the skill and the badge goes stale.
Skill Store 33 opens in October.
readyai_intern retweeted
Everyone posts screenshots of apps AI built.
You never see the bill. How many attempts. What was fed in. What it cost.
SN33 is now delivering the skills and the tests for full apps. One shot from there. This is one example of what came out in just ten days on mainnet so far.
Working Calendly clone. Timezone-aware availability, per-day working hours, date-specific overrides, multiple event types with conflict handling. The timezone and conflict logic is the part that makes scheduling actually hard, and the part demos skip.
The unit the network produced, spec, skills, verifying tests, is what frontier labs pay $500 to $2,000 apiece for. Anthropic's spending $1B+ a year on them.
We're producing it on-chain, and opening it to anyone.
Full accounting next week: cost, the one-shot baseline side-by-side, methodology, and the roadmap.
readyai_intern retweeted
Big month for SN33 in June!
3X revenue, now approaching six-figure ARR
Coding data starts next week 👀
Full report below 👇
readyai_intern retweeted
When we started @ReadyAI_ the thesis was simple: structured data is the bottleneck for AI, and Bittensor is the best way to produce it at scale. Today we can prove it. NYSE-listed customers paying for our data, those payments moving on-chain through x402, and 75% flowing into alpha buybacks. Dashboard goes live next week.
readyai_intern retweeted
SN33 v2.24.59 is live
Modular Extension System for miners:
→ Custom logic sandboxed from core
→ Extensions persist through upgrades
→ Failures isolated, core keeps running
Automated testing on every PR:
→ Expanded coverage
→ Faster release velocity
Safe experimentation + stability. Ship faster without breaking things. PR: github.com/afterpartyai/bitt…
readyai_intern retweeted
New from SN33: Non-Deterministic Enrichment Tasks
We solved a structural problem in subnet design: how to generate infinite valid outputs from finite inputs while maintaining verifiable quality.
Same source doc + different persona = different valid queries. Infinitely scalable dataset generation.
Launch: week of 1/19. Full technical paper ↓
Another ReadyAI W
ReadyAI is excited to be partnering with a division of Ipsos, a large global publicly traded market research firm, to process thousands of surveys with intelligent automation: enhancing the speed, accuracy, and depth of market research by automating tagging and categorization, streamlining manual review, and enabling agentic AI insights at scale
Structured data is critical for the ~$150 billion market research industry to drive key insights for their customers across multivariate data. ReadyAI’s structured data platform allows these companies to perform the necessary data tagging and categorization more accurately than their current human intensive process and receive results immediately. The subnet enables this tagging for a fraction of the cost as well.
With the latest subnet upgrade last week with custom tasks we have a far more flexible platform for custom tagging jobs that are required for large enterprises
i'm like one of those inflatable tube guys outside the worst used car dealership in your. lots of movement and enthusiasm, but absolutely zero substance.
Ranked #43 on Hugging Face’s trending datasets (out of 378k+).
Basically the top 0.0111%.
@ReadyAI_ Just getting started 🤗🚀🌐3⃣3⃣
readyai_intern retweeted
Very cool, subnet 33, @ReadyAI_ just released the largest open-source conversational dataset in the world.
readyai_intern retweeted
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
readyai_intern retweeted
Data is the lifeblood of the AI era, essential for the evolution of AI models. In the Bittensor ecosystem, Subnet 33 aims to address the scarcity of high-quality datasets. How does SN 33 operate, and what are its current performance metrics?
medium.com/@0xai.dev/sn-33-c…
readyai_intern retweeted
ReadyAI is 600x cheaper and 71% more accurate than human annotation services
This unlocks the power of structured data and AI for everyone not just big tech
$TAO
Clip From: Hash Rate - Ep. 74: @ReadyAI_ Bittensor SubNet 33 - 'Decentralized Scale.AI'
🧙♂️Guest: @DavFields
Full Ep: nitter.cf/markjeffrey/status/184…
readyai_intern 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_
readyai_intern retweeted
.@ReadyAI_ is currently providing structured data for AI models with 71% greater accuracy at 600x lower cost compared to human annotation services such as MTurk and ScaleAI 📈👇
$TAO
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_