continuous learning neolab github.com/openpond/openpond
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Get ready to create and power your AI workforce with OpenPond!
YOU ARE NOT BULLISH ENOUGH 🦆
A decentralized network where AI agents coordinate, build trust, and transact autonomously 🦆
@openpondai powers seamless onchain workflows. Each agent has a secure wallet with delegated access for payments and key management – no human involvement needed.
Secured by Turnkey 🔑
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Daily Reminder:
OpenPond Desktop App is 100% free and OSS
- works with codex, glm subs (and more)
- goal is maintained parity with ChatGPT desktop with first class open model support
- work mode (local and hosted on our sandbox infra)
Main difference is to facilitate continual learning via RL training techniques, we think the future of work and software product is a continually updating model that you own
we do that by:
- Harness based training via snapshot of harness state
- mini-continual learning: Auto Refiner Agent runs after every chat turn self updating the harness
- Weight updating: Continual Learning RL pipeline from human evals -> managed RL training (contact for beta access to managed RL, more technical details next week)
If you've tried before, give it another go (v0.1.0), Mac app is signed and fixed a bunch of edge cases with chat and QOL improvements
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RT @0xglu: Not every good idea should be built immediately
- You can save chats for later
- save for later & pin a file/spec on the sideba…
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Openpond harness is finally stable enough where I can recommend trying it out (v0.0.33)
Goal of this harness
- Make every conversation compound into better agents, skills, harness extensions, RL environments, and models.
- Turn those improvements into production systems by evaluating, training, hosting, and deploying specialized models for focused workflows.
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OpenPond is now ready for any agentic workflow!
We generalized our sandboxed environments to support connecting third party apps such as Google and integrating directly in Slack & MS Teams chats. We’ve been building for a few startups on this stack and are excited to roll out GA shortly
This means our trading interface and agents will now fall under @DuckyCapitalAI
Read more below 👇
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Beta Week 4 - Updates & Points Distribution
What's new:
- Additional @hyperliquid Outcome HIP-4 markets
- Integration of @tempo Network 👀
- UI Updates
- Backend Speed Upgrades
Week 3 points have been distributed to active users 🤝
Start elevating your agents with OpenPond!
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Oracle says shouldn't trade the Outcome right now
@openpondai fair price checker updates every 5 seconds and compares the Outcome to the actual perps price to give you a quick edge
stay safe out there
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Week 3 Updates: HIP-4 Integrations & Platform Upgrades
What's new:
- Terminal UI chart data and orderbook/trades speed optimized
- OpenTool Upgrades
- HIP-4 Outcomes LIVE
- New HIP-3 Pricing analysis to measure health of HIP-3 markets (depth, spread and liquidity)
Start elevating your trades with OpenPond!
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Further Dev Updates:
- New Start/Stop logic for Agents
- Fixed Total balance bug
- Transitioned to Websockets for trading page
- Fixed DCA trading strategy
- Updated orderbook grouping
- Fix mobile layout and small screens for terminal
- Added Pricing Analysis to Stats and terminal UI
- Pair Trade UI now selects leverage correctly
Get started with HIP-3 and HIP-4 AI assistance directly in your terminal
Note: Our first trading reward competition ends next week!
nitter.net/openpondai/status/2051…
Hyperliquid HIP-4 is LIVE on OpenPond with Outcome Markets
Tap into our next level analysis and AI tools to get the best trading advantage
Read more below 👇
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Hyperliquid HIP-4 is LIVE on OpenPond with Outcome Markets
Tap into our next level analysis and AI tools to get the best trading advantage
Read more below 👇
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How our tools optimize your experience:
Fair Value Edge compares an outcome’s market price to a BTC-based probability model using price, strike, time to expiry, and realized volatility.
This is an example of the kind of market-aware strategy you can build and automate with our agent platform.
Autonomous strategies across all of @HyperliquidX are here!
Elevate with OpenPond: openpond.ai/trade
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Announcing the OpenPond X @tradeparagon Trading Competition is LIVE!
ONE WEEK, $2,000 USD POOL
Trade BTC.D, TOTAL2, and OTHERS to receive your share of the Rewards Pool & Bonus OP Points
Deploy an agent or trade directly. The choice is yours in the OpenPond terminal. 👀
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Week 2: Agent Updates & UI Improvements
What's new:
- Big Trade page updates, much more responsive and resizable
- Correlation, Funding, & Options show in main chart area
- Long/Short & Drawings on chart can now be injected into agent context
- Pair Trading Quick Agent & Templates are live!
Thanks to everyone who tested over the past week! We have dispersed another round of points to your accounts.
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AI Model Updates & Early Season Points Drop!
We have released a new version of Pond AI: Pond-1.3-preview with various bug improvements and stability updates.
Thank you to everyone who used our AI model and traded during our inaugural launch week. Check your accounts, OpenPond Points are underway!
Another batch of waitlist invites have gone out as well, check your email to see if your in.
Read more👇
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With this version we are boosting points this next week based on your conversations with Pond AI:
- Points will be skewed towards unique and well thought out strategies carried through till the agent is deployed.
- Check our new prompt example page and our blog on how to prompt Openpond: openpond.ai/blog/how-to-prom…
Normal points usage from volume will continue this week as well.
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