rodney()
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rodney()
@0xRodney
partner @hack_vc, ex @angellist venture, ex @angle_health ycw20 all opinions are my own!
Dubai, United Arab Emirates Katılım Haziran 2020
3.5K Takip Edilen4.1K Takipçiler
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The Pacific Era begins!
On April 28, Pharos Mainnet goes live, marking the start of a new phase for RealFi
More than 50+ dApps will be live from Day 1, spanning trading, lending, RWAs, and yield infrastructure
This isn’t just a launch
It’s the foundation for onchain real-world finance
Welcome to Pharos Pacific ERA Day ⚓
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0G to Make Alibaba's Qwen wModels Accessible to AI Agents via Blockchain Integration
SINGAPORE, April 21, 2026 —
AI agents can now directly access top-tier large language models on-chain for the first time.
A new collaboration between 0G Foundation and Alibaba Cloud, the digital and intelligence backbone of Alibaba Group, enables direct, blockchain-based access to Alibaba's Qwen — one of the world’s most widely adopted large language model families.
This collaboration marks a shift from API-based AI access to programmable, tokenized AI infrastructure.
AI Agents Lack Seamless, Scalable Access to Top-Tier Models
AI agents — software programs capable of autonomously querying models, making decisions, and executing workflows — are gaining traction across industries. However, their effectiveness is still constrained by how easily they can access leading AI models.
Today, most large language models remain gated behind centralized APIs, requiring account setup, fiat-based billing, and manual configuration. These systems were not designed for autonomous, high-frequency agent interactions, where seamless, real-time access is critical.
This creates a structural limitation: while models like Qwen are powerful, integrating them into agent-driven environments at scale remains complex and inefficient.
Direct On-Chain Access to Qwen
Through this collaboration, 0G enables developers to access Qwen’s latest models in a way that is inherently compatible with autonomous systems.
By procuring Qwen tokens via API and embedding access into its infrastructure, 0G allows AI agents to invoke Qwen models directly using a token-based mechanism. This removes the need for traditional account management and enables programmatic, on-demand access to AI compute.
In practical terms, AI agents operating on 0G can query Qwen to generate responses, process information, or execute tasks — creating a more fluid interaction between decentralized systems and state-of-the-art AI models.
At a high level, this collaboration reflects a clear division of roles in the emerging AI agent stack: Qwen powers intelligence, while 0G guarantees trust.
In practical terms, inference runs on Qwen, and verification runs on 0G — forming a more complete foundation of compute and trust for autonomous AI systems.
As Michael Heinrich, CEO and Co-founder of 0G Labs, put it:
“As the world’s leading Blockchain for AI Agents, we are delighted to become a preferred partner for Alibaba’s Qwen models.
0G’s integration with Alibaba Cloud’s Qwen marks a milestone where 'top-tier intelligence meets trusted infrastructure.'
With Qwen 3.6-Plus optimized for agentic AI, Alibaba provides powerful reasoning capabilities while 0G provides the verifiable trust layer, together building the most complete trust loop for AI Agents.
We look forward to consistently deepening our collaboration with Alibaba Cloud and the Qwen team to accelerate the mass adoption of AI Agents globally.”
Why Qwen Matters
The collaboration underscores Qwen’s growing role as a defining force in the global AI ecosystem.
Developed by Alibaba, Qwen has become one of the most widely downloaded model families, supporting a broad range of multimodal and enterprise use cases.
Its latest release, Qwen3.6, has demonstrated strong performance across multiple benchmarks, reinforcing its position among the world’s leading AI systems.
As competition intensifies among leading AI models, accessibility and distribution are becoming as critical as model performance. Enabling AI agents to interact with Qwen through decentralized infrastructure extends its reach beyond traditional enterprise environments into emerging autonomous systems.
Enabling Real AI Agent Workflows
The ability of AI agents to directly access Qwen unlocks new possibilities for real-world applications. Developers can now build systems where agents:
● Query Qwen for natural language understanding and generation
● Automate decision-making processes
● Execute multi-step workflows powered by AI reasoning
By removing access friction, the collaboration shifts the focus from infrastructure constraints to application development, enabling more rapid experimentation with agent-based systems.
Together with 0G’s verifiable compute and data layer, this significantly enhances trust and auditability in agent-driven environments — a key requirement for large-scale autonomous systems.




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Meet Kimi K2.6: Advancing Open-Source Coding
🔹Open-source SOTA on HLE w/ tools (54.0), SWE-Bench Pro (58.6), SWE-bench Multilingual (76.7), BrowseComp (83.2), Toolathlon (50.0), Charxiv w/ python(86.7), Math Vision w/ python (93.2)
What's new:
🔹Long-horizon coding - 4,000+ tool calls, over 12 hours of continuous execution, with generalization across languages (Rust, Go, Python) and tasks (frontend, devops, perf optimization).
🔹Motion-rich frontend - Videos in hero sections, WebGL shaders, GSAP + Framer Motion, Three.js 3D.
🔹Agent Swarms, elevated - 300 parallel sub-agents × 4,000 steps per run (up from K2.5's 100 / 1,500). One prompt, 100+ files.
🔹Proactive Agents - K2.6 model powers OpenClaw, Hermes Agent, etc for 24/7 autonomous ops.
🔹Claw Groups (research preview) - bring your own agents, command your friends', bots & humans in the loop.
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K2.6 is now live on kimi.com in chat mode and agent mode.
For production-grade coding, pair K2.6 with Kimi Code: kimi.com/code
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🔗 API: platform.moonshot.ai
🔗 Tech blog: kimi.com/blog/kimi-k2-6
🔗 Weights & code: huggingface.co/moonshotai/Kim…

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Bridging elite academia with AI-driving finance 🤝
Pharos is partnering with @HKUniversity SCF FinTech Academy of Business School in its Capstone project, bridging academic AI research with Pharos Incubation Program through high-performance blockchain environment, SALI parallel execution and native x402 AI module on Pharos ⚓
From the lab to upcoming Mainnet, Pharos is turning AI-driven insights into institutional-grade reality
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@demitchy_ @alpackaP You can hit the hotline whenever you want, or DM whenever too!
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Hard to find us?
Debuting the world premiere of the Hack VC Founders Hotline
Need funding? Better call Hack
Results guaranteed in <1 week
(we have 9 figs+ to deploy, pls help us spend it)
Alexander Pack@alpackaP
Hack VC is still investing, actually more aggressively than ever. Come find us.
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Thrilled to announce the $44M Series A to scale the onchain economy ⚓
Backed by Sumitomo Corporation's CVC arm, @snzholding, @chainlink, @FlowTraders, and some of the undisclosed giants in global finance 🏛️
Pharos is building the financial-grade infrastructure to bridge TradFi and DeFi at a global scale 🌐
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Yup, platform activity is surging. There were 1 billion commits in 2025. Now, it's 275 million per week, on pace for 14 billion this year if growth remains linear (spoiler: it won't.)
GitHub Actions has grown from 500M minutes/week in 2023 to 1B minutes/week in 2025, and now 2.1B minutes so far this week.
So we're pushing incredibly hard on more CPUs, scaling services, and strengthening GitHub’s core features.
And as a fine purveyor of hand-crafted shit code for many years, I'm not gonna weigh in on that. 🤣
ThePrimeagen@ThePrimeagen
I would like to make my apologies for defending M$, but I must from time to time. I have to put respect on github for handling the amount of shit code that has been added over the last 3 months. literally 10s of billions of lines of code that will never see the light of a CPU
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Intelligence available on tap means suddenly capital contains more bottled-up value than it ever has before.
You used to have very real limits to the time value of money: you can sleep in one bed. You can drive one car. But now you can have the equivalent knowledge work of 10,000 or 1M people if you could only figure out how to put it in a harness, get the data into it, and press DEPLOY.
This has never happened before.
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Every new Claude launch since the beginning of 2026👇
- Jan 2026: Claude Cowork launched.
- Feb 2026: Opus 4.6 released.
- Feb 2026: Sonnet 4.6 released.
- Feb 2026: Cowork launched on PC
- Feb 2026: PowerPoint integration
- Feb 2026: Excel integrations added.
- Feb 2026: Co-work plug-ins released.
- Feb 2026: Claude Code security launched.
- Feb 2026: Claude Code Remote Control
- Feb 2026: Scheduled Task in Co- work
- Feb 2026: Connector available in the free
- Mar 2026: Claude memory is free
- Mar 2026: Claude Marketplace launched
- Mar 2026: Claude com ambassadors
- Mar 2026: Code review for Claude code
- Mar 2026: Claude skills for Excel & Slides
- Mar 2026: charts & diagram in chat
- Mar 2026: 1 million context window
- Mar 2026: Dispatch for Claude Co-work
- Mar 2026: Claude code Channels
- Mar 2026: Co-work Projects
- Mar 2026: Claude Computer use
- Mar 2026: Auto mode in Claude code.
Anthropic is cooking
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