Uniswap is built into Base MCP from day one
Agents connected to Base MCP can natively swap and manage LP positions for users with a Base Account
No extra integrations required. It just works.
“Digital Asset Strategy” from Citi Investor Day 26’ ⤵️
- Citi has been slow rolling into digital assets for several years
- Expansion of business lines: tokenized funds, onchain services like custody,
deposits, and stablecoins
- Complements existing revenue streams with opportunity for worldwide growth
Similar programs are penetrating the financial ecosystem from top to bottom.
OpenGDPs tokenization infrastructure includes:
- on/off ramps w/ inline conversion
- compliance & monitoring
- lending, borrowing, and trading
along with dedicated blockspace and an intelligence layer built for mission-critical objectives.
We are actively assisting financial organizations with their digital asset strategies - partnering on customer acquisition, revenue expansion, and global growth models.
gdp/acc
1) Full end-to-end AI software automation is near.
At Nexus, we have the goal of achieving full end-to-end automation of our software production system by end of year. We are experimenting with this via a fast iteration closed-loop self-improving system. I think it's quite interesting, so I want to share publicly as I haven't seen too many engineering teams talk publicly about findings like this yet.
In our tests, each autonomous improvement cycle has the following structure:
- 1. Pre-planning: High-level architectural goals
- 2. Planning: Medium-level planning and spec authoring, including specs for all tests, benchmarks, regression tests, etc.
- 3. Execution: Full end-to-end agentic implementation cycle spanning 1-2hrs of autonomous work. This is the bulk of the productive session where the actual code is written, tested, and progressed.
- 4. Evaluation: Complete running of tests, benchmarks, telemetry and profiling of the post-execution state system
- 5. Retrospective: Thorough retrospective of the end-to-end run, including telemetry of the agent itself, such as cost, tokens used, times context limits were hit, etc.
- 6. Self-improvement: Reasoning based on execution metrics and meta-level metrics about the agentic system itself
The view below shows a 3D visualization of 29 generations of a self-improving codebase authored by our E2E automation system
AI agents don't have credit cards. But they can have wallets.
That's why crypto unlocks something nothing else can: agents that pay for their own compute, spin up new agents, and fund them autonomously.
@igoryuzo from @bankrbot broke this down at Zerion Live 👇