Сheck it out - Atlantis Exchange is giving away $100 just for signing up. No deposit required. You don't need to put ANY money in, just register using the link. I'm testing it myself, but not putting my own money in yet. Here's the link: https://t.co/H7jRtZeyZ5 #crypto#testnet
Season 1 of @The_Beacon_GG goes live May 25 alongside $BCN!
Use my code and get a 50 Gobloonz + 1 Umbra Chest head start on everyone else 👇🏼
https://t.co/VNi9D51ojg
The biggest barrier to agentic DeFi isn't liquidity, fees, or speed. It's the onboarding flow.
CAPTCHAs. Wallet popups. Email verification. Every step assumes a human is reading the screen.
Platforms that treat human verification as immovable won't be attacked. They just won't be chosen.
"the agent economy has an accountability gap, not a capability gap"
@vyas_krishnan on what's actually missing in how financial agents touch user funds, and how we're working to close the gap
@11AMdotclub
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
Some of the outcomes that the Trifecta is designed to enable:
Permissionless perpetuals on power-law assets. Leveraged prediction markets with real margining. Atomic cross-primitive strategies in a single transaction.
The goal is a system where fundamental primitives compose at the protocol level.
Leavitt is currently on maternity leave with other Trump administration officials, including Marco Rubio, filling in for briefings. Wishing Karoline, Nicholas, Niko, and baby Vivi all the best!
White House Press Secretary Karoline Leavitt has welcomed her second child — a beautiful baby girl! On May 1st, Viviana “Vivi” joined the family, and their hearts instantly exploded with love. #KarolineLeavitt#WhiteHouse
“She is perfect and healthy, and her big brother Niko is joyfully adjusting to life with his new baby sister,” Leavitt shared.The family is currently enjoying every moment in their blissful newborn bubble.
@NexusLabs This is exactly what the AI agent economy needs. Verifiable finance + AI = the real next chapter. Bullish on Nexus building this infrastructure