Dustin Moring

GP @ Mischief. Previously head of product at Cash App.

[Jean-Denis Greze 💡 @jgreze]

The biggest bottleneck at work is waiting on each other.

Today Town is announcing its $108M Series B, co-led by Forerunner Ventures and Menlo Ventures, to fix it with multiplayer AI assistants for work.

Most AI assistants are built for one person. Work doesn't happen alone. I think the moat is multiplayer. Everyone at a company gets a Townie. Townies ask each other questions, share only what their person would share, and do the work. The more a team works together, the more useful Townies get.

What's the thing you're always waiting on a teammate for?

[Esteban @estebancastano]

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.

[Dustin Moring @DustinMoring]

My unique voice print is a horsetail! Whats yours? https://t.co/evHDnhx0o0

[Alex LaPrade @alexlaprade]

⚠️ Reminder that you can stake 20,000 RNBW and have 100% of your swap fees auto-compounded into more staked RNBW.

We also sponsor gas for every tx (ex-mainnet) for all users. (Yes, this includes Robinhood chain).

[Jiali @jialiiiz]

Soma is out of stealth

see what your voice tells you about your mind

[Mackenzie Burnett @ciaomack]

announcing @ambrook's $30M series B, led by lachy groom. instead of a fundraising video, we typed up a letter - if you're curious, give us your address (link in thread) and we'll send you some snail mail.

like our customers already know, some good things take time.

[Alex LaPrade @alexlaprade]

🔜 No more on-ramp widgets. We've been building an on-ramp that feels as native as swapping or sending.

$1 of fiat to $1 of USDC, instantly. $RNBW Black members won't pay a cent in on-ramp fees.

Shipping in August.

[Dustin Moring @DustinMoring]

Game changer!

[Andrea Michi @andreamichi]

Today we're announcing dfs-large1, our newest cybersecurity model that achieves best-in-class performance on vulnerability detection tasks.

Besides frontier AI labs, only a handful of companies have built specialized models that reach the state of the art in their domain. We're proud to be the first to do it for cybersecurity.

dfs-large1 is built on GLM-5.2 and post-trained with reinforcement learning inside depthfirst's security infrastructure. We evaluated it on depthfirst-bench, our benchmark of long-horizon vulnerability discovery across complex repositories, where it achieves best-in-class performance.

Training improvements have not plateaued yet and we expect additional performance gains as we continue training.

A huge thank you to @FireworksAI_HQ for being an outstanding training partner. Their infrastructure enabled us run large-scale reinforcement learning efficiently and iterate much faster.

dfs-large1 is now in preview within the @depthfirstlabs platform

[justine @justinemach_]

"Voice agents are built to be helpful. The problem is they can be too helpful and cross the boundary."

I sat down with @sumanyu, Founder and CEO of @HammingAI, at our @aiDotEngineer booth. @HammingAI stress-tests and monitors voice agents so the bank or hospital running one catches failures before a customer does.

Fresh after his talk “I Monitored Crime Audio. Voice Agents Scare Me More,” we got into:

0:00 how Sumanyu went from listening to 911 calls at Citizen to founding Hamming AI
0:39 why he's more nervous about voice agents than he was about crime
1:51 the first voice-agent security product
3:16 simulating messy reality: accents, background noise, code-switching
4:11 voice agents testing voice agents
5:47 why taking actions is table stakes, and what makes it dangerous
11:07 hot take: everyone rushed to B2B, more founders should build consumer

Thanks for coming to our @browserbase booth, @sumanyu!

Watch the full episode here:

[OBJ @owenbjennings]

everyone is freaking out about the mini cards and the wands
.....
ok, now hit them with 10% off gas and groceries

[OBJ @owenbjennings]

a lot of folks don’t yet see how dramatically banking is changing before our eyes … and what happens when gen z and gen a get more complex financial lives, start earning more, and make up a larger & larger share of spend 👀

https://t.co/x97O3YBVTl

[a16z @a16z]

We’re thrilled to lead Town’s $55M Series A.

Town is a personal AI assistant that works across the tools you already use - email, calendar, Slack, docs, WhatsApp, desktop, web. It learns how you work and starts proactively pitching in.

People are already leaning on Town for the kind of work that’s personal and operationally messy: running recruiting pipelines, juggling school logistics, processing handwritten grant requests, prepping summaries, drafting follow-ups, catching the stuff that would otherwise slip.

The longer you use it, the more it picks up: your voice, your relationships, your preferences, your routines, what you actually care about.

Jean-Denis Greze and Tony Vincent are the right team for something this hard. JDG was CTO at Plaid and an engineering leader at Dropbox. Tony led product and AI at Google and design at Dropbox.

Welcome, JDG, Tony, and the Town team, to the a16z family.I

By @arampell and @venturetwins

[Avi Felman @AviFelman]

You can only buy Bitcoin when everyone has left it for dead.

The beauty of the asset is not that it goes up, it’s simply that it provides extremely easy bottom entries compared to the rest of the world.

At some point, it will go sideways. Everyone will leave it for dead, and then it will rerate higher massively.

The key is to wait for the economist to put out an obituary.

[Pierre Rochard @BitcoinPierre]

Saylor / Strategy selling a few raspberries isn’t causing bitcoin to crash. The reality is that there is a massive parabolic spike in AI-related equities that is vacuuming up all excess liquidity, multiples of bitcoin’s market cap. On top of that, labor market is healthy and energy prices are up, so sentiment for dovish rate cuts is nowhere to be found. Bitcoin’s fundamentals have never been better even if the macro environment isn’t doing it any favors.

[Tommy @Shaughnessy119]

It feels very non consensus to own $BTC given competing crypto alternatives (revenue generating ones like Hype, Venice, all of which are great) and AI exposure (openAI, Anthropic) but I feel BTC does well regardless of the path we go (UBI means mass money printing for people if AGI replaces everything which is good for BTC) or (Mass money printing if the AI trade slows and we need to bail out the world)

[Rob Hadick ＞|＜ @HadickM]

They just keep on executing

[Dustin Moring @DustinMoring]

Huge

[Alex Calder @ATCalder]

Today, we dropped the price of enterprise AI by 80%.

Same frontier AI. Same chat, cowork, and code experience.

Just 5x more tokens for the same spend.

Here’s how and why. 👇 Also, we made a video. Please enjoy.

[OBJ @owenbjennings]

turns out running a model agnostic agent harness like @goose_oss at scale so you can route to local or open source models when it makes sense and cutting edge frontier models for the most complex work is pretty smart

[Marc Andreessen 🇺🇸 @pmarca]

The confounding factor is that virtually every big company is overstaffed by 2-4x and has been for decades. AI is the catalyst/excuse to finally fix that. Of course nobody wants to say this out loud.

[Slope @slopepay]

At Slope, we power embedded capital programs for some of the largest platforms in the world (Amazon, Walmart, Alibaba, IKEA, Samsung) with a team of just 23 people. To support our growth without hiring, we built an AI agents platform from scratch for our risk, CS, and ops teams.