iggy (running it back)

Is this time any different? Pam Bondi a few months down the line just before midterms: "Dow is at new ATHs, this is what we should all be focusing about"

SERV is building the infrastructure layer for the agent economy in real time and this week proved it. In the past week alone at SERV: • Private Beta crossed 100,000 requests. • Greg Ivanov, ex-Google, joined as key advisor. • Phase 2.4 was revealed - agent auditing at scale with Graph Sharding. Enterprise: • 3 enterprises moved their workloads to SERV. • Neol hit 100% reliability with the UAE government. Benchmarks held the pattern: • Qwen 3.7-Max with SERV beat every frontier model tested. • Gemini 3.5 Flash launched and was made stronger by SERV the same day. Next up: wish we could tell you already. 👀

With the incredible early success of SERV Reasoning, I’ve been focused on accelerating adoption across two key domains: Bigger institutions. Global scale. This week, I’m in Nairobi meeting with some of the largest banks in the region, including pitching heads of corporate credit, IT, and risk (among others) inside executive boardrooms at Tier 1 institutions with over $7B in collective AUM. East Africa and Kenya in particular is the highest growing credit market in the world. As banks increasingly look to adopt AI, especially in emerging markets where credit is growing rapidly, the opportunity is obvious: major bottlenecks and archaic processes are waiting to be solved. But for financial institutions, adoption only happens if the technology clears a high bar: auditable outputs, reliable performance, and sustainable cost. So far, we’ve heard that previous attempts at AI integration have largely stalled because they failed on reliability, cost, or both. That’s where SERV Reasoning comes in. To power products that actually move the needle, and that institutions can rely on to deliver results at an economically feasible price. But product is only one side of adoption. In enterprise, especially with major institutions in emerging markets, distribution can matter just as much, if not more. Sales cycles are long, trust is earned through relationships, and adoption often depends on being in the right rooms with the right stakeholders. That’s why being here on the ground matters.

$SERV is one of the few crypto AI protocols that’s repricing on substance This provides a tangible floor, complimented by an asymmetric bet The reasoning framework is live across 10 enterprise & government deployments, including UAE work via Neol The moat vs centralized is the buyer profile; sovereign data, auditable reasoning, onchain settlement Closed labs can’t deliver all three This provides a huge opportunity for open source decentralized operating systems, particularly those fuelling the agentic economy This is an economy that’s only just starting to gain traction; imagine what happens to the value accrual for the picks and shovels when activity goes parabolic

With the incredible early success of SERV Reasoning, I’ve been focused on accelerating adoption across two key domains: Bigger institutions. Global scale. This week, I’m in Nairobi meeting with some of the largest banks in the region, including pitching heads of corporate credit, IT, and risk (among others) inside executive boardrooms at Tier 1 institutions with over $7B in collective AUM. East Africa and Kenya in particular is the highest growing credit market in the world. As banks increasingly look to adopt AI, especially in emerging markets where credit is growing rapidly, the opportunity is obvious: major bottlenecks and archaic processes are waiting to be solved. But for financial institutions, adoption only happens if the technology clears a high bar: auditable outputs, reliable performance, and sustainable cost. So far, we’ve heard that previous attempts at AI integration have largely stalled because they failed on reliability, cost, or both. That’s where SERV Reasoning comes in. To power products that actually move the needle, and that institutions can rely on to deliver results at an economically feasible price. But product is only one side of adoption. In enterprise, especially with major institutions in emerging markets, distribution can matter just as much, if not more. Sales cycles are long, trust is earned through relationships, and adoption often depends on being in the right rooms with the right stakeholders. That’s why being here on the ground matters.

Decentralized open source models are getting very interesting Openserv “SERV reasoning” just received a strong independent benchmark Headline findings (SERV-nano solo vs prior Gemini/Sonnet): - 100x cheaper per call ($0.0006 vs $0.06) - 107x performance per dollar - Higher accuracy at lower cost (83.3% vs 77.5%) Keep an eye on the smaller teams shipping tangible products We’ve already seen VVV go on a solid run with arguably more upside, dolphin filling in for a beta position on the privacy AI narrative I’ll link a list of protocols to look into below, so bookmark this:

SERV is building the infrastructure layer for the agent economy in real time and this week proved it. In the past week alone at SERV: • Private Beta crossed 100,000 requests. • Greg Ivanov, ex-Google, joined as key advisor. • Phase 2.4 was revealed - agent auditing at scale with Graph Sharding. Enterprise: • 3 enterprises moved their workloads to SERV. • Neol hit 100% reliability with the UAE government. Benchmarks held the pattern: • Qwen 3.7-Max with SERV beat every frontier model tested. • Gemini 3.5 Flash launched and was made stronger by SERV the same day. Next up: wish we could tell you already. 👀

As I've been saying a great place to hedge your spot positions was $BTC around the ~$80K region and the current correction definitely confirms it This does not change my overall HTF bias to bearish however but the engulfing Weekly candle makes a good case for a MTF pause, as I've done some decent de-risking on alts in the past week due to it (sub content). The current rising CPI expectations alongside the escalating war situation in the middle east again, is causing the US yields to head higher, resulting in an overall risk-off market correction (even Silver -17% in the past three days) But when looking at the US equities or Copper, the US markets are in a good shape & I expect them to stay that way despite this. However the digital assets space has not followed the upside in the same extent and stays more vulnerable till then My expectations is a deeper retrace for alts in the upcoming week(s) as it unfolds, while $BTC should remain relatively strong. And as long as it remains above the April 25 lows the HTF bull thesis remains strong & the prices below it remain a deviation to me. But breaking below it would equal a failed reclaim Funding remains in the longest negative period in history, longer than Covid crash, longer than May 21 Crash, longer than FTX, still favoring a HTF bottom, alongside other things. That said, as an active market participant, after 6 weeks of upside we should acknowledge the current pause and see the market as it is 🤝