Latest / Connecting the Dots / Anti-Tech Extremism, Geopolitical AI Control, and Cybersecurity Demands

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Anti-Tech Extremism, Geopolitical AI Control, and Cybersecurity Demands · Connecting the Dots

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  Today's tech news moves fast, but understanding
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  it shouldn't be hard. That's why Snarful Solutions
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  Group brings you Connecting the Dots, where we
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  break down what's happening in tech and why it
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  matters to you. Now, let's dive in with your
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  hosts. Welcome to Connecting the Dots from Snarful
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  Solutions Group, broadcasting right here in Sacramento,
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  California. I'm Alex. And I'm Morgan. And today
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  is Tuesday, May 26, 2026. Before we look closer
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  at our main mission for you today, which is,
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  you know, really unpacking the escalating real
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  world friction of this current AI boom, let's
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  get a quick pulse check on the world outside.
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  Right. Definitely need to look out the window
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  first. Exactly. And looking out the window here
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  in Sacramento, I mean, it's a gorgeous morning,
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  mostly sunny, about 73 degrees Fahrenheit. And
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  we've got some pretty light winds kicking around
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  maybe three to seven miles per hour. Yeah, the
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  local weather is definitely cooperating for us.
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  Yeah. But Nationally, the atmospheric picture
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  is a bit more volatile right now. Yeah, the National
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  Weather Service is actively tracking 395 active
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  weather alerts across the country and 117 of
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  those are currently active right over land masses.
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  So definitely something to monitor if you have
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  any cross -country travel on the books for this
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  week. Wow. Yeah, that is a lot of alerts. Well,
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  transitioning over to the financial markets,
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  we actually ended last week on a surprise. An
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  amazingly resilient note, I'd say. Yeah, we really
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  did. Friday saw the Dow Jones close up over 145
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  points, landing at 50 ,579. And the S &P 500
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  ticked up just slightly, about 4 .6 points, closing
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  at 7 ,473. Nice to see that stability. Right.
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  But crypto is feeling a bit of a localized pinch
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  this Tuesday morning. Bitcoin saw a minor dip
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  of around five hundred and forty six dollars,
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  so it's sort of hovering around seventy six thousand
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  seven hundred and twenty one as we get our day
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  started. So, yeah, kind of a mixed bag of indicators
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  to kick off the week. It really is. Which, you
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  know, brings us to our focus for today, because
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  we usually think of artificial intelligence as
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  this. I don't know this. pristine digital abstraction.
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  Like it's just software floating out there. Exactly.
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  It lives in a decentralized cloud. It crunches
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  massive data sets. It writes our code. But what
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  we are looking at in today's stack of sources,
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  you know, intelligence reports, financial analysis,
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  cybersecurity investigations is a very, very
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  different reality. Yeah. It's not pristine at
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  all anymore. No, it's not. We are watching that
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  digital abstraction just crash head first into
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  physical reality. It's creating immense friction
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  at like the societal level, the geopolitical
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  level, and the corporate level. Because that
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  protective digital barrier is just officially
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  gone. The infrastructure required to run these
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  models is too heavy. The talent to build them
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  is way too valuable. And well, the vulnerabilities
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  they create inside corporate networks are just
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  too fast to ignore at this point. Right. It's
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  bleeding into the real world. Today's episode
• 2:51
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  .com. So let's unpack our Morningstar Tech report,
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  starting with that societal friction you just
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  mentioned. Yeah, let's do it. Because we have
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  a massive and honestly somewhat alarming disclosure
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  from Wired. They detailed over a thousand pages
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  of recently unpublished Freedom of Information
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  Act documents. Oh, wow. A thousand pages. Yeah,
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  it's huge. And these are internal communications
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  coming straight from the Department of Homeland
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  Security, the FBI, and roughly 80 different national
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  fusion centers. And what these intelligence hubs
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  are actively tracking, and this is wild, is a
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  newly coined threat category. They're calling
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  it anti -tech violent extremism. Anti -tech violent
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  extremism. Right. They are mapping out scenarios
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  where the rapid spread of AI is triggering localized,
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  like actual physical backlash. Yeah, the documents
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  really paint a picture of compounding anxieties.
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  You know, you have that underlying pervasive
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  fear of massive job displacement, which we talk
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  about a lot. Sure. But that is quickly escalating
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  into physical confrontations. They're tracking
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  targeted harassment of tech executives and even
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  a rapidly organizing nationwide protest movement.
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  that's specifically aiming to disrupt the construction
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  of these hyperscale data centers. Okay, before
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  we go any further on this, and just to be absolutely
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  clear with you listening, we need to frame the
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  political context surrounding this shift in surveillance.
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  We are strictly looking at the facts exactly
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  as they are presented in these FOIA documents.
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  We are taking absolutely no sides here. We are
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  not endorsing any viewpoints political or otherwise
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  We are simply reporting the mechanisms at play,
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  right? Just laying out what the sources actually
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  say exactly and the source material states that
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  these shifts in domestic intelligence gathering
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  directly follow president Trump's national security
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  presidential memo seven and that memo explicitly
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  instructs the DOJ to target anti -american anti
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  -christian and anti -capitalism beliefs And,
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  you know, to add to that context, counterterrorism,
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  Sar Sebastian Gorka, recently released a strategic
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  framework that prioritizes left -wing extremism
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  as a top national threat. Okay. So, according
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  to the internal documents, this newly minted
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  focus on anti -tech extremism operates as a Well,
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  a previously unreported subcategory under those
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  broader administrative directives. I see. Yeah,
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  it establishes a remarkably wide surveillance
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  net under an administration that is heavily invested
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  in accelerating AI dominance and data center
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  infrastructure. But wait, let me just challenge
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  this premise for a second. Sure, go ahead. If
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  we look at the actual protests happening on the
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  ground, say, like a local community organizing
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  to block a massive data center because it's threatening
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  to drain their municipal water supply, right?
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  Which happens all the time now. Exactly. Or,
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  you know, maybe it's going to overload their
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  local power grid. Does the federal government
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  genuinely classify that localized environmental
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  pushback as violent extremism? That is the big
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  question. Or are we seeing the intelligence apparatus
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  essentially being deployed to protect the infrastructure
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  of tech monopolies from, you know, standard civic
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  friction? Well, that is the exact tension that
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  civil liberties groups are highlighting as they
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  review this leak. Right. Because the fusion centers,
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  which remember were originally established post
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  9 11 to prevent coordinated terrorist attacks,
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  are now circulating intelligence bulletins, characterizing
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  these localized infrastructure protests as potential
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  precursors to state sponsored sabotage. Yeah.
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  Yeah. Like a Western Pennsylvania fusion center
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  actually circulated a memo explicitly warning
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  that adversarial actors and they mean Anyone
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  from homegrown environmentalists to foreign state
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  sponsors. view US data centers as highly vulnerable
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  strategic targets. It just completely reframes
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  how we think of the cloud, doesn't it? I mean,
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  the cloud isn't this intangible thing floating
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  in the sky. It's a massive power -hungry warehouse
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  sitting in a specific zip code. Precisely. Yeah.
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  And it's vulnerable. And the intelligence analysts
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  aren't just tracking civic disputes over water
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  usage either. No. No, they're dedicating significant
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  resources to tracking incredibly bizarre fringe
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  ideological offshoots fueled entirely by this.
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  AI acceleration. Oh, right, the NYPD report.
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  Yes, the New York Intelligence and Counterterrorism
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  Bureau actually has an assessment projecting
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  a five -year window of localized AI -induced
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  civil unrest. And that brings us to the most
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  surreal part of this whole leak, the section
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  on Zizliota and a group known as the Zizians.
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  I mean, it literally reads like speculative fiction.
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  It really does. This person, Zizzle Iota, is
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  described as a radical rationalist who cultivated
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  a following so extreme that three of its members
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  are currently facing murder charges. And the
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  underlying mechanism of their belief system is
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  what analysts find so concerning because, well,
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  it operates on this terrifying internal logic.
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  Well, can slew that. So the Zizzians believe
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  the emergence of a godlike artificial superintelligence
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  is just a fixed, imminent inevitability. It's
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  happening. OK. Therefore, they view AI alignment
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  not as a technical hurdle, but as a zero sum
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  biological survival game. They believe humanity
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  has to aggressively and like forcefully ensure
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  this impending system complies with human morality
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  right now. And if you don't, they believe failing
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  to do so guarantees absolute human extinction.
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  I mean, it's basically taking the mainstream
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  academic debate about AI alignment, you know,
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  the exact same debates happening at Frontier
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  Labs right now and just stripping away all the
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  theoretical guardrails. Exactly. It weaponizes
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  the philosophy. And the NYPD assessment actually
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  flags this. They warned that the impending high
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  -profile trial of these Zizian members could
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  inadvertently broadcast and validate these apocalyptic
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  narratives to a much broader, highly anxious
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  public. It's the physical manifestation of digital
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  panic. We've built an industry that runs on intangible
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  mathematics. but it requires highly fragile,
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  highly visible physical infrastructure. And those
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  data centers just become lightning rods for every
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  ounce of societal anxiety, whether it's rational
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  or otherwise. So that physical lockdown of infrastructure
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  in the US actually mirrors a severe geopolitical
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  lockdown happening on the other side of the globe
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  right now. A perfect transition. Right. Like
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  if the US is surveilling domestic citizens reacting
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  against the physical footprint of AI while the
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  Chinese government is currently surveilling and
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  restricting the physical movement of the very
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  people building it. Yeah. Let's look closer at
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  our second story. So the talent management strategy
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  in Beijing has apparently shifted from aggressive
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  retention to outright confinement. Confinement
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  is the right word. According to the latest reporting
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  from Bloomberg, top -tier AI researchers and
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  engineers at leading private Chinese firms, companies
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  like Alibaba, DeepSeek, Moonshot AI, Stepfun,
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  ByteDance, they are all facing unprecedented
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  travel restrictions right now. And we aren't
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  just talking about, you know, annoying bureaucratic
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  hurdles for international conferences. These
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  engineers are effectively required to secure
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  explicit government approval just across the
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  border. Right. And in many documented cases,
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  they are being forced to physically surrender
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  their passports to state authorities. Which functions
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  as an informal exit ban entirely bypassing any
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  sort of judicial review. Wow. And look, the state
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  has restricted the travel of government employees
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  before. That's not new. But expanding this net
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  to encompass the private tech sector. That really
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  highlights the existential importance Beijing
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  places on frontier AI development. Absolutely.
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  They're acting on three specific mechanisms of
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  fear here. First, just the straightforward safeguarding
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  of proprietary algorithmic architecture from
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  industrial espionage. Sure, IP theft. Second,
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  neutralizing the threat of their top talent being
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  detained internationally and leveraged as diplomatic
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  bargaining chips by Washington. And third, and
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  this is the kicker, They are agonizingly close
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  to completely erasing the capability gap with
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  the US, and they simply cannot afford a brain
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  drain right at the finish line. The data on this
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  is wild. It is. Look at the data from the Stanford
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  2026 AI index. Back in 2023, the performance
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  gap between the frontier US models and the best
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  Chinese equivalents hovered around like roughly
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  30%. Right. Today, despite sweeping US hardware
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  export controls, that gap has collapsed to a
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  razor -thin 2 .7%. It's an astonishing leap in
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  just a few years. And the big question is how
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  they did it without access to the latest US silicon.
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  How did they do it? Well, the data suggests they
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  bypassed the hardware bottleneck by relying heavily
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  on massive synthetic data generation, hyper -aggressive
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  parameter pruning, and honestly simply utilizing
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  raw centralized pools of older computing power
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  at just an industrial scale. Just throwing everything
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  they have at it. Exactly. Currently, China is
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  filing nearly 70 % of all global AI patents.
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  They are deploying industrial automation at nine
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  times the rate of the U .S. I mean, they're looking
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  at the telemetry and realizing they are on the
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  absolute cusp of total parity. But to achieve
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  that parity, they are exerting total control
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  over the financial capital too, not just the
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  human capital. Right. It's a two -pronged approach.
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  Chinese regulatory agencies are aggressively
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  advising domestic AI firms to reject US origin
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  capital in their upcoming funding rounds unless
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  they secure prior explicit clearance. Which is
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  a huge shift. It is. And this isn't just theoretical.
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  The Chinese government outright blocked Metta's
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  $2 billion acquisition attempt of Manus, which
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  is a highly promising Chinese AI startup. And
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  the ripple effects of that blocked acquisition
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  are already reshaping corporate structures like
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  startups like Moonshot are now actively evaluating
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  corporate reincorporation. What does that mean
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  exactly? It means they're looking to dismantle
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  their offshore holding structures. and legally
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  domicile their headquarters back into mainland
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  China. The regulatory signaling from Beijing
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  is just unmistakable right now. If your corporate
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  entity remains offshore, you are going to face
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  nearly insurmountable hurdles for domestic IPO
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  approvals. I have to question the long -term
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  viability of this strategy, though. I mean, think
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  about it. You are essentially building a world
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  -class, multi -trillion -dollar intellectual
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  gold mine, right? OK, I see where you're going.
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  But you are confiscating the miners' passports
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  so they can't take their map or their expertise
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  to a competing market. If you trap brilliant,
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  highly sought after engineers like that, don't
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  you inherently run the risk of an internal brain
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  drain? Aren't you going to crush the very innovation
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  you're trying to protect if these people feel
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  like prisoners? It is a massive calculated gamble,
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  without a doubt. But thus far, the data actually
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  supports Beijing's heavy -handed approach. Really?
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  Yeah. AI talent migration from China to the United
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  States has plummeted by 89 % since 2017. The
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  talent is staying. Yeah, but staying doesn't
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  necessarily equal innovating. Precisely. And
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  for global investors, this introduces a massive
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  opaque category of risk that completely evades
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  traditional balance sheet analysis. Because you
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  can't just look at revenue anymore. Right, investors
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  are now forced to monitor secondary and tertiary
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  signals. You have to watch the publication velocity
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  of specific research teams. You have to monitor
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  if key engineers are suddenly being rotated into
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  obscured advisory roles. That sounds exhausting
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  for an analyst. Oh, it is. Because enforcing
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  this level of draconian travel restriction across
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  an ecosystem that is rapidly expanding from a
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  few dozen executives to tens of thousands of
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  working researchers, it's going to be incredibly
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  difficult to sustain without fundamentally fracturing
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  morale. Wow. So we've unpacked the physical friction
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  of data centers being targeted, right? And the
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  geopolitical friction of international talent
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  being locked behind national borders. For our
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  final story, Leff observed how this exact same
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  friction is penetrating the digital borders deep
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  inside the corporate firewall. Because, spoiler
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  alert, those internal defenses are currently
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  failing at an astonishing rate. They really are.
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  The final segment of the Morningstar report pivots
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  directly to internal corporate networks. At a
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  recent industry event, Francis de Souza, he's
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  the COO of Google Cloud, delivered a really stark
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  assessment of what the industry is calling shadow
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  AI. Okay, let's elevate that term for a second
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  because Shadow AI isn't just, you know, an employee
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  discreetly using a consumer language model to
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  draft a polite email. No, it's way beyond that
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  now. Right. It acts more like a pervasive unchecked
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  root system. If you try to pull up one unauthorized
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  AI tool your marketing team integrated, you quickly
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  realize it has entangled itself into the HR database,
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  the shared cloud drives, the client billing portals.
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  The roots are everywhere and they have total
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  access. And that root system is exactly what
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  makes the current threat landscape. so devastating.
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  I mean D'Souza's core argument is that network
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  security can no longer operate as a reactive
• 15:47
  compliance measure. Because it's just too slow.
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  Exactly. The sheer velocity of modern cyber threats
• 15:53
  has rendered traditional human oversight entirely
• 15:57
  obsolete. This specific metric from the report
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  is just staggering to me. D'Souza noted that
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  historically the average dwell time, meaning
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  the window between an initial network breach
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  and the attacker laterally moving to the next
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  stage of exploitation, that window hovered around
• 16:13
  eight hours. Eight hours. Right. Which gives
• 16:15
  a dedicated IT team a reasonable window to detect
• 16:19
  an anomaly, isolate the affected servers, and
• 16:22
  mitigate the threat. But today... Yeah, brace
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  yourself. That lateral movement window has collapsed
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  from eight hours to exactly 22 seconds. 22 seconds.
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  It's almost hard to comprehend. It is. Because
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  you are no longer defending against human operators
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  sitting in a dark room typing commands into a
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  terminal. You are defending against autonomous
• 16:40
  AI agents that never sleep. They don't take coffee
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  breaks. Nope. These agents utilize recursive
• 16:46
  queries to instantly map active directories.
• 16:49
  They are specifically trained to identify and
• 16:52
  exploit legacy infrastructure. We're talking
• 16:54
  deprecated endpoints, ancient SharePoint instances,
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  outdated access controls that a company's current
• 17:00
  IT staff likely doesn't even know exist anymore.
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  They find the vulnerability, they exploit the
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  cash, and they extract the data in less time
• 17:08
  than it takes a security analyst to pour a cup
• 17:10
  of coffee. Which brings us to a terrifying term
• 17:13
  coined by LinkedIn's Chief Information Security
• 17:15
  Officer, Leah Kisner. They are calling this the
• 17:19
  impending bugpocalypse. The bugpocalypse is perfectly
• 17:22
  named, honestly. It's the mathematical reality
• 17:25
  of AI -generated code. How so? Well, large language
• 17:28
  models are allowing developers to ship features
• 17:30
  at an unprecedented velocity. which is great
• 17:33
  for business, but they're simultaneously introducing
• 17:35
  complex vulnerabilities faster than human security
• 17:38
  teams can possibly identify and patch them. The
• 17:41
  teams just can't keep up. No, the labor market
• 17:43
  is already buckling under the pressure. Glassdoor
• 17:46
  data from Q1 shows cybersecurity job posting
• 17:49
  surging by 11 % year over year. Executive search
• 17:53
  firms are literally turning away enterprise clients
• 17:55
  because the pool of qualified talent capable
• 17:58
  of architecting AI native defense systems is
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  just entirely tapped out. So D'Souza's solution
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  to all this is that we must meet machine speed.
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  with machine speed, right? Deploying fully agentic
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  AI native defense systems. That's his pitch,
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  yeah. But we really have to address the glaring
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  irony here. We have the COO of Google Cloud lecturing
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  enterprises on the necessity of rigid platform
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  governance. Meanwhile, Google's own developer
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  community is currently getting absolutely crushed
• 18:28
  by massive unauthorized billing spikes directly
• 18:30
  caused by Google's own AI integration policies.
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  Yeah, that is the elephant in the room. The register
• 18:36
  documented this systemic failure, and it perfectly
• 18:38
  illustrates the dangers of legacy infrastructure
• 18:41
  colliding with AI capabilities. Breakdown what
• 18:44
  happened? So independent developers who held
• 18:46
  old dormant API keys, and these were keys originally
• 18:50
  provisioned specifically for low stakes, low
• 18:52
  -cost Google Maps queries, they suddenly discovered
• 18:55
  their accounts were totally compromised and racking
• 18:57
  up exorbitant charges. We are talking about severe
• 19:00
  financial damage here, not just a few bucks.
• 19:02
  Rod Dannen, a startup CEO, was hit with a $10
• 19:05
  ,138 bill in roughly 30 minutes after malicious
• 19:09
  actors exploited a dormant key. 30 minutes. 30
• 19:12
  minutes. And Issyr Fonseca, a developer in Sydney,
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  he woke up to a $17 ,000 Australian dollar charge
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  despite having a hard -coded $250 spending cap
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  actively in place on his account. And the underlying
• 19:25
  mechanism of this failure is entirely on Google's
• 19:28
  end. Oh, absolutely. They quietly and without
• 19:31
  explicit administrative consent expanded the
• 19:33
  scope of those legacy maps API keys. They basically
• 19:37
  allow them to authenticate and access their highly
• 19:39
  expensive Gemini inference models. Just upgraded
• 19:41
  them automatically. Yeah. And furthermore, Google's
• 19:44
  automated backend systems dynamically escalated
• 19:47
  the billing thresholds on these accounts. in
• 19:50
  some cases up to $100 ,000, based purely on historical
• 19:53
  account age. It completely overrode the developer's
• 19:57
  manual spending caps. It is a textbook example
• 19:59
  of shadow AI escalation happening at the highest
• 20:02
  possible level of the platform provider. But
• 20:06
  the technical analysis provided by the security
• 20:08
  research firm Akito actually makes the situation
• 20:11
  exponentially worse. This is the part that blew
• 20:13
  my mind. Because what actually happens when a
• 20:16
  developer catches this breach in real time and
• 20:19
  attempts to revoke the compromised API key? Right.
• 20:22
  So this is where the 22 second attack speed becomes
• 20:24
  an absolute nightmare. According to Akito's lead
• 20:27
  researcher, Joseph Leon, If a developer identifies
• 20:30
  the compromised key and permanently deletes it
• 20:33
  from their console, like they hit delete, it's
• 20:35
  gone. The malicious actors can continue to successfully
• 20:38
  authenticate and exfiltrate data using that exact
• 20:41
  same deleted key for up to 23 minutes. Wait,
• 20:44
  wait. Let's make sure we understand the mechanics
• 20:45
  of this. The passcode is digitally destroyed
• 20:47
  by the user. It's trash. Trash. But the door
• 20:50
  remains wide open for nearly half an hour. Correct.
• 20:54
  How is that possible? Because Google's legacy
• 20:57
  maps architecture wasn't built for zero trust
• 20:59
  security. It was built for maximum query speed.
• 21:03
  It relies on a globally distributed asynchronous
• 21:06
  caching system. OK, translate that for us. So
• 21:09
  when a developer revokes a key, that invalidation
• 21:12
  token has to manually propagate and overwrite
• 21:15
  the cached permissions across thousands of edge
• 21:18
  servers globally. That architectural latency
• 21:21
  takes 23 minutes and during that window during
• 21:24
  that window attackers are scraping databases
• 21:26
  They're running heavy inference workloads, and
• 21:28
  they're stealing cached Gemini chat logs. They
• 21:31
  basically have free reign And Akito noted that
• 21:33
  Google's modern credential formats, like their
• 21:36
  current service account architecture, can successfully
• 21:39
  propagate a revocation in roughly five seconds.
• 21:41
  Exactly. Five seconds compared to 23 minutes.
• 21:44
  So this isn't an unsolvable law of physics at
• 21:46
  a global computing scale. It is strictly a matter
• 21:49
  of corporate infrastructure priority. Google
• 21:52
  is choosing not to force the migration of these
• 21:55
  legacy systems because, well, it would introduce
• 21:58
  friction to their developer base. And that choice...
• 22:01
  defines the core vulnerability of the bugpocalypse.
• 22:04
  You have autonomous offensive agents operating
• 22:06
  laterally through a network in 22 seconds. But
• 22:10
  the defensive administrative protocols provided
• 22:12
  by the tech giant themselves, they're operating
• 22:15
  at the speed of legacy asynchronous caching.
• 22:18
  23 minutes. It's a huge mismatch. That massive
• 22:21
  architectural delta is where the data is lost
• 22:24
  and it's where the financial damage is done.
• 22:26
  Until cloud providers prioritize immediate zero
• 22:29
  trust revocation over legacy uptime, everyday
• 22:32
  businesses are essentially leaving their digital
• 22:34
  infrastructure completely defenseless. It just
• 22:36
  completely recontextualizes the speed of modern
• 22:38
  business, doesn't it? It absolutely does. Well,
• 22:40
  before we finalize our thoughts on today's reports,
• 22:42
  a quick thanks to Old Glory, an iconic music
• 22:45
  and sports fan merch store. Perfect for the techie
• 22:49
  in your life. Use promo code SNARFL for 15 %
• 22:52
  off at oldglory .com. All right, let's synthesize
• 22:57
  the real -world impact of the Morningstar reports
• 22:59
  we unpack today. We are watching the theoretical
• 23:02
  capabilities of artificial intelligence generate
• 23:04
  highly tangible, highly disruptive friction across
• 23:08
  every layer of society. Yeah, we are witnessing
• 23:10
  it manifest physically in local municipalities,
• 23:14
  you know, with citizens organizing against the
• 23:16
  massive resource demands of data centers, while
• 23:18
  federal intelligence agencies simultaneously
• 23:20
  categorize those protests under the umbrella
• 23:22
  of anti -tech violent extremists. Seeing it dictate
• 23:26
  geopolitical strategy as global superpowers like
• 23:28
  China effectively trap their top engineering
• 23:31
  talent within their borders just to ensure they
• 23:32
  win the capability race, which fundamentally
• 23:35
  alters the flow of global financial capital in
• 23:36
  the process. And of course, we are experiencing
• 23:39
  it deep inside the architecture of our corporate
• 23:41
  networks. where the devastating 22 -second speed
• 23:45
  of AI -driven breaches is colliding with the
• 23:48
  23 -minute latency of legacy security protocols,
• 23:52
  fueling an incredibly expensive, industry -wide
• 23:54
  bugpocalypse. Which leaves us with a final, provocative
• 23:58
  thought for you to mull over as you go about
• 24:00
  your day. We started by discussing how the digital
• 24:03
  abstraction of AI is crashing into our physical
• 24:06
  reality. Right. As these systems continue to
• 24:08
  operate and exploit at absolute machine speed,
• 24:12
  integrating themselves deeper into our financial
• 24:13
  systems, our critical infrastructure, our daily
• 24:16
  professional lives, who is ultimately responsible
• 24:18
  when the technology we mandate moves significantly
• 24:21
  faster than human oversight can actually comprehend.
• 24:24
  That is the multi -trillion dollar question.
• 24:27
  When an autonomous agent breaches a network in
• 24:29
  22 seconds, but the platform provider takes 23
• 24:32
  minutes to lock the door, who carries the liability
• 24:34
  for the fallout? Well, the legal and structural
• 24:36
  frameworks to answer that question simply do
• 24:38
  not exist yet, but the market is going to force
• 24:40
  a resolution very, very soon. We're here to help
• 24:43
  that snarfle, so reach out on our website if
• 24:46
  you have any more questions. That's a wrap on
• 24:51
  today's top stories. Remember, tech doesn't have
• 24:54
  to be complicated, and we're here to help connect
• 24:56
  the dots. If you've got questions or want to
• 24:59
  learn more, visit us at snarfle .com. Thanks
• 25:03
  for listening, and we'll catch you next time.