YUGE (46, 118)

Const approval badge unlocked 😂 Not gonna lie, this reinforces even more the potential I initially saw in Ditto. And with @Sebyverse alongside you guys too… Yeah this might turn into an absolute fireworks show.

I've never been more bullish on RWAs. > BlackRock CEO says tokenization is "where the internet was in 1996." > McKinsey sees a $2T tokenized asset market by 2030. > Standard Chartered sees a $30T+ RWA market by 2034. But the missing layer is still obvious: > Every tokenized property needs a verifiable appraisal. > Every onchain mortgage needs title verification. > Every fractionalized asset needs data people can trust. RESI is building the oracle layer for real estate onchain, starting with the $45T US housing market. The internet had Google. Onchain real estate will have RESI.

my quant const threw $155k in one buy at SN118 on $TAO -betting on a private location for AI memory, a place to store sessions

Agents

The dropbox of AI memory will be the future of research, documentation, skill banks, and how we work together in general. Direct download the global hippocampus.

and for our next trick... we will be putting a second mortgage on the Lourve. Team is pumped for @proofoftalk

Leading up to conviction, RESI team just executed a sale of $75K~. That's the last of it. From here, RESI will 100% lock into conviction. Aligned. Committed. Building.

@DistStateAndMe hang it up unc. Be happy with the cash you grabbed. You’re done in this industry.

DITTO: Memory & Context For AI Agents on Bittensor TAO x.com/i/broadcasts/1…

See you there! I know @bittensor is going to love @heydittoai and the team. We are objectively in the Agentic Operating System endgame and Ditto is the horse I'm betting on.

Going LIVE in 20 minutes! Ditto's very own @peytonspencer will be going live on @gordonfrayne's TAO PILL Podcast alongside @Sebyverse. Think of this as a formal introduction from Ditto to Bittensor. Join on X to uncover what is to come!

On Friday Nerds hosted $TAO Subnet 118 @heydittoai for an AMA Subnet 118 does not produce an agent. It produces the model harness. That was the most important clarification from the AMA with @peytonspencer , CEO and lead dev, and @Sebyverse , growth and product advisory. @heydittoai has been in development for five years. Omar Barazanji is CTO and head of ML. @heydittoai is an open-source Agentic OS for consumers and enterprise. The user-facing product is a workspace where organizations manage people, agents, projects, issues, chats, files, and tasks in one environment. The orchestrator routes work between humans and agents, manages projects, and provisions agents, projects, and orgs automatically. Under the hood, the subnet produces optimized GitHub codebases: the harness. That harness improves memory, speed, error recovery, inference behavior, and prompt enhancement. @peytonspencer called it “the car the LLM drives.” The goal is to make open-source models like DeepSeek and Kimi behave more like Claude, at a fraction of the cost, inside an open workspace. The competition is Claude Cowork, Perplexity Computer, Slack, Google Drive. Open source: complementary to OpenClaw, IronClaw, and Hermes, but a direct replacement for Paperclip. Seby’s pitch is simple: one-click migration into a better, cheaper, safer, more private OS. Benchmark is LongMemEval. Ditto’s first baseline is 77.8 composite with Gemini 3.1 Pro. 71.2% QA accuracy across 500 questions. 87.6% session recall. The interesting number is seed-only retrieval. When Ditto surfaces the right memories upfront, accuracy hits 90% at 1.8s median latency. When the model has to wander through multi-hop tool calls, accuracy drops to 61% and latency stretches into minutes. Target is obvious: shift more questions onto the fast seed path. Better retrieval weights, larger seed memory chains, time-aware query expansion. Temporal reasoning sits at 57.1% and multi-session at 56.4%. That is where miners can move the score. But Ditto does not see LongMemEval as the final destination. The plan is to push the memory system close to saturation on the existing benchmark, then have the subnet generate harder memory benchmarks from there. They are researching MemPalace and integrating parts of that approach into the existing code. LongMemEval is the warm-up, not the destination. Once it saturates, the subnet itself becomes the place where the next generation of memory benchmarks gets built. That is a much bigger surface area for miners than chasing one score. The strongest point from the AMA is that Bittensor gives Ditto a 24/7 product improvement engine. They have already shipped hundreds of releases on closed-source infrastructure. Now they are opening parts of the harness so miners continuously improve it. Peyton said Bittensor could “quickly saturate LongMemEval.” That is the trigger. Once saturated, the subnet can move from optimizing against existing tests to helping create the next generation of memory benchmarks. The product gets better at remembering what users said, what changed, what matters, and what context to pull before the main agent responds. Roadmap Structure Sprint: orgs, projects, issues, agents, chat threads, people, friends. Agents Sprint: concurrent threads, async queue, scheduled tasks, heartbeat, group chats. Miner Competition: launch and integrate outputs into Ditto Cloud for continuous memory-core improvement. Enterprise Readiness: SOC2, HIPAA, sales engineers, forward-deployed engineers. The business model is starting to show. Consumer growth via ads, demos, X and YouTube content. SMB and enterprise revenue from licensing, managed deployments, and on-prem installs. It matters because it is the privacy and control angle against centralized platforms. My take: this is one of those subnets where the narrative sounds big but the mechanics are concrete. Live product. Real benchmark. Public baseline. Miners submit code. The first target is memory and speed.

@BrazillianTAO @resilabsai Very cool!

Hey @resilabsai please come here.

We're disrupting a market on $TAO that touches every single human being. If you are a homeowner, buyer, seller, or real estate professional, you will use RESI. Screenshot this.

Billions in US home loan volume. Now underwritten through RESI. @RealFlyhomes is integrating RESI into its national lending network. We're bringing faster & transparent property valuations to 30,000 lenders across the U.S. Onchain real estate intelligence is going mainstream.

I'm so excited to chat with the NERDS

@0xMetaLight 🔥

Real builders. Real product. Real community. @HeyDittoAI CEO and @Sebyverse will be in the Nerds chat tomorrow @ 11am ET. They've given me a sneak peek and you're not going to want to miss this. YUGE

@resilabsai Tokenization is the future.

Tokenization is the future.

$RESI is now the 2nd highest real estate token by FDV. Behind $HASH at $1B... We're building the full-stack AI platform for the $600T real estate industry. RESI will solve for property valuations, loans, title verification, and more. Welcome to the new onchain real estate market.