Introducing ✨Ardence✨, TRM's AI investigation platform for all-source intelligence. Follow connections across sources, keep the source trail, and put investigator judgment at the center of the work. Learn more 👉 trmlink.info/4B0NENP

Introducing Liquid Inference by Architect, a new LLM model router where inference providers compete dynamically to offer lowest-cost tokens. Providers onboard in minutes, not weeks. Buyers have full price visibility and receive 20% of referred fees in free inference. More info: Liquid Inference can be used in place of any OpenAI or Anthropic API-compatible backend. Behind it, our team has leveraged our experience trading and building financial exchanges to create real-time two-sided price discovery for inference. Benefits for buyers and providers: INFERENCE BUYERS • Fully compatible with agentic coding tools: Claude Code, Codex, OpenCode, Cursor, Pi, Cline, and many more. Full multi-modal support. • Hundreds of open- and closed-weight models. Create routing rule presets or use our Auto routing algorithms. • Providers compete dynamically on price for every prompt, offering the lowest marginal cost. • Sign up for free with email, first 500 users get $20 of free inference. • Receive 20% of referred fees as free inference, 10% for second-level referrals. INFERENCE PROVIDERS • Onboard through the Liquid Inference app. We verify new providers in minutes, not weeks. • All prompts are OpenAI API standard. Simple REST/Websocket API to register models and quotes. • Update quotes dynamically based on your own costs. Monetize GPU capacity only when you want. • Standardize payouts via Stripe, full itemized records of all jobs performed.

The @ether_fi team executed one of the most impressive product expansions in the last cycle growing into the most successful self custodial neobank in the space. We've been impressed from the outside on their execution quality, consistency building through the bear market and obsessive focus on product - one of the few teams we look up to at Ethena. Yes it is somewhat competitive with Ethena Pay, but the very best builders just focus on building the best product with the best partners, and look beyond the crypto-native user set as the addressable market opportunity. Ethena will power their new whitelabel stablecoin end-to-end, with USDe already supporting their separate earn savings vaults. In order for these applications to fully capture their revenue opportunity, they need to control the deposit and float via stablecoin balances. This is a trend @ether_fi will pioneer and I'm sure we will see others will follow closely behind.

We’re pleased to welcome @AugieIlag, Investment Partner at @CMT_Digital, as a speaker at the Gamma Prime Investing Summit. The Fullerton Hotel Singapore will bring together leading investors, founders, and market participants on October 6. Get your summit access: gammaprime.com/investing-sum…

Today, we are at a crossroads. As I write this, AI is saving lives by helping doctors identify diseases faster, and making education more accessible to people everywhere. It’s also being used to inflict harm on a global scale. TRM’s AI-in-Crime Adoption Index found that, in 2026, criminal adoption of AI rose 40% year over year. Today’s threat actors are using AI to execute scams, cyber attacks, and other forms of digital crime at unprecedented speed and scale. In the last 90 days, we’ve also seen a growing number of incidents where AI agents themselves have gone rogue. Business titans and religious leaders are sounding the same alarm: to realize AI’s promise, we need to protect people from its harms. The first line of defense is prevention. Model companies like Anthropic and OpenAI are building stronger guardrails, and governments are exploring rules for how AI can be safely used. We call this the prevention layer. At TRM, we’ve spent nearly a decade fighting crime, from fraud and cybercrime to human and wildlife trafficking. That experience has taught us one thing, if nothing else: the prevention layer is essential, but never enough. Criminals will break through. When they do, it’s critical that crimefighters can identify the harm done, find the people and machines behind it, and take action: support the victim, freeze the funds, take down the infrastructure, arrest the offender, disable the agent, dismantle the network. The world needs a new layer of protection. We call it the disruption layer—and it's what we're building, right now. The operating system for crimefighters In 2018, we founded TRM to help crimefighters map how threat actors were using cryptocurrency. We analyzed petabytes of data, mapping over a 100 types of crime. Government agencies and financial institutions worldwide now use TRM to investigate complex criminal networks and combat financial crime. The more cases we supported, however, the more we realized: if we were going to equip crimefighters to disrupt AI-scale crime, crypto would be 𝘱𝘢𝘳𝘵 of the story, but not the 𝘸𝘩𝘰𝘭𝘦 story. To build a successful case, investigators must source intelligence not just from the blockchain, but also corporate records, cyber threat data, the dark web, and dozens of other domains. Today’s crimefighters need to use natural language to search across siloed domains, connect the dots and unearth buried insights, automate the rote work, and coordinate with partners across public and private sectors—all while preserving auditability and human judgment. In short, crimefighters need an operating system for the AI era. So we built it. For years, we’ve been developing this OS alongside the investigators who use it. Now, we’ve just announced a new round of funding, valuing TRM at $2 billion, to propel our work—and this fall, we’ll unveil the OS publicly, for the first time. If your organization needs to fight AI-scale crime, please reach out. We want to work with you.

Here are your four. 🧭 Stocks. Commodities. ETFs. Emerging markets. EP1 of #OpportunityCompass starts beyond crypto. Explore the full map: mexc.com/campaigns/opportuni…