asim.eth @asim_eth
Building Trustworthy AI, Co-founder @KRNL_xyz | Founding Partner @eternacapital | ex- @BlackRock | CFA Joined May 2024-
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As we get closer to @KRNL_xyz's testnet launch, I can't help but appreciate the journey so far. Building something unique is never easy....it takes late nights, endless iterations, and a team that refuses to quit. I'm grateful for my co-founder's vision, our team's relentless…
As we get closer to @KRNL_xyz's testnet launch, I can't help but appreciate the journey so far. Building something unique is never easy....it takes late nights, endless iterations, and a team that refuses to quit. I'm grateful for my co-founder's vision, our team's relentless…
OTC Performance Update 20% of Neutrl’s second OTC tranche has vested and realized. $255K in gains booked, delivering 32.5% realized APR on this tranche. With public access starting soon, everyone will have access to the highest-performing source of yield in crypto. gNeutrl.
The best way to run your reward claim process
The best way to run your reward claim process
Meet the 10 Finalists taking the stage next week at TOKEN2049 NEXUS: The world's largest crypto startup competition. @AEON_Community • @blocksense_ • @capmoney_ • @DeCharge__ • @glider_fi • @karrier_one • @KRNL_xyz • @messiah_network • @MuDigitalHQ • @orogoldapp
After months of building, I’m excited to share that the KRNL testnet is going live on 29th September, 2025. This won’t be a traditional testnet. We’ve designed it specifically for projects and teams who want to see how KRNL’s trusted execution layer can become the foundation for…
After months of building, I’m excited to share that the KRNL testnet is going live on 29th September, 2025. This won’t be a traditional testnet. We’ve designed it specifically for projects and teams who want to see how KRNL’s trusted execution layer can become the foundation for…
AI Compliance Tier List What do you think?
Remember when... -The biggest challenge was training a model that could generate coherent text. -The conversation around AI was mostly about chatbots and image generators. -The "moat" was in the dataset and the closed-source model. -AI was a cool feature you added to a…
And we're live! Hop in👇 x.com/i/spaces/1gqxv…
Looking forward to attending the on-chain symposium on Wednesday in Seoul onchainsymposium.com
Trustworthy AI Terms Everyone Should Know!!!!
We’re excited to share that @alliancedao is backing Encifher. 18 months ago, we were just two people asking: "Can DeFi exist without giving up privacy?" Today we’re building the privacy engine for DeFi, starting on @solana Accelerate. With Privacy.
It’s been a little over 4 months since I joined @KRNL_xyz Already shipped -> - KRNL CLI - KRNL frontend scaffold repo - 4 poc demos - 6 city workshop tour & bunch of online workshops Coming months I will be cooking - docs - more tech video content We are kooking 💪
Had a chat with @MaxPrasertsan around the Problem with AI Accountability! 3 topics we touched upon : ~ Why is "verifiable AI" different from AI audits or policies? ~ What happens when AI goes wrong? Who is accountable today? ~ How does cryptographic proof shift AI governance…
@KRNL_xyz public testnet is launching soon, and I'm planning ways to support and incentivize devs. I'm locked in on delivering tools, docs, demos and more for the best devEX. But I want to know what frustrates you most when starting to build???
Did someone just say trustworthy 👀
Did someone just say trustworthy 👀
Agentic workflows sound exciting, until you realize you’re chaining black boxes together with no record of what happened in between and with agents unable to trust each other.
AI agents will need their own “L2 stack” Not for speed, but for cryptographic control. Proofs, governance, override keys, rollbacks. Otherwise we’re just shipping smarter bots with the same old trust issues.
When the financial system integrated TCP/IP, nobody said “we’re doing TCP/IP finance.” That’s how crypto and AI will merge too. Infrastructure first. Branding later.
Think of L2s as provable sequencers for transactions. Think of verifiable AI as provable sequencers for decisions.
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