The “Covid Moment” For AI?

Summary

Tech Brew Ride Home – Episode Summary

Episode: The “Covid Moment” For AI?
Host: Brian McCullough, with Co-host/Tech Analyst
Date: February 11, 2026
Podcast: Tech Brew Ride Home

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Episode Overview

This episode explores the provocative argument that artificial intelligence is having its "Covid moment"—a pivotal time after which nothing will be the same, even if most people have yet to realize it. The hosts dig into a viral essay from AI startup founder Matt Schumer, discuss current events shaking up the AI industry, review new TikTok features, and break down a major real-time translation announcement from T-Mobile.

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Main Discussion – Is This AI’s “Covid Moment”?

[00:32 – 10:39]

The Viral Matt Schumer Essay

• Core Thesis:
  Schumer compares AI’s current inflection point to February 2020—just before Covid-19 fundamentally changed society. The public is still unaware of the looming transformation, but industry insiders see revolutionary advances already underway.

• Why the Alarm?

  • Schumer: “AI progress used to feel like big jumps, spaced far enough apart to digest. Then in 2025, the cadence tightened… Each release… better by more and also arriving sooner.” ([02:47 – 03:00])
  • The latest models (GPT 5.3, Claude Opus 4.6) can now “meaningfully contribute to the improvement of AI models” and build the next generation of themselves—a recursive, accelerating loop.

• Key Turning Points:

  • On Feb 5, 2026, OpenAI and Anthropic released powerful coding models the same day. Schumer says it was like “the waterline suddenly felt at your chest.” ([03:05 – 03:12])
  • New Capabilities:
    • Describe an app in English; the AI returns a functional product—“not a draft… but working software.” ([03:28 – 03:33])
    • AI now tests, iterates, and polishes code independently.

• Psychological Paradigm Shift:

  • “What used to feel like assistant that needs guidance has crossed into autonomous builder.” ([03:49 – 03:54])

Why Coding Fell First & What’s Next

• Coding was a “strategic prerequisite” because recursive improvement lets AIs write their own software, speeding up progress across all domains—“my job changed to your job is next.” ([04:07 – 04:24])
• If your job happens on a screen—reading, writing, analyzing, deciding—AI is already coming for “significant parts of it.” ([07:15 – 07:20])

The Public’s Perception Lags Behind

• Outdated reference: “In AI time, [older experiences] are ancient history…today’s leading models are unrecognizable even relative to six months ago.” ([04:38 – 04:57])
• Timeline compressed:
  • 2022: arithmetic unreliable
  • 2023: exam-level competence
  • 2024: graduate-level explanations
  • 2026: autonomous, multi-day projects on horizon ([05:09 – 05:46])

Most Notable Quotes & Concepts

• Feedback Loops:
  “AI is now building the next AI.” ([05:54])

  • OpenAI: GPT 5.3 Codex was “instrumental in creating itself...” ([06:04])
  • Anthropic’s Dario Amodai: AI writes much of their code and expects “systems that autonomously build the next generation” within 1-2 years. ([06:16 – 06:21])

• Massive Labor Dislocation:
  Amodai predicts “AI could eliminate 50% of entry level white collar jobs within one to five years… many insiders think that’s conservative.” ([06:30])

  • Not just “task” automation, but wholesale substitution for cognitive labor across domains.

• Wider Social & Existential Implications:

  • AI as companion: “People are already using AI for emotional support and companionship.” ([07:45])
  • Even physical labor could be disrupted as AI enables new robotics (“Can flip quickly in AI timelines.”) ([07:59])

Prescriptive Advice from Schumer

[08:02 – 09:47]

• Don’t freeze, get early: “Start using AI seriously and in your actual workflow, not as a novelty search box.”
• Pay for advanced models, push into core tasks (contracts, spreadsheets, performance reviews).
• Build resilience: financial safety nets, avoid new debt, focus on skills slower to automate—relationships, accountability, regulated fields—but know those are “time buyers, not permanent moats.” ([08:49 – 08:59])
• Rethink guiding kids towards “stable” careers; optimize for “curiosity, adaptability, and becoming a builder.” ([09:09])
• Upside Highlight: Barriers are collapsing. “Describe an app... get a prototype quickly. Write a book with help, learn from near always-available tutors.” ([09:24 – 09:35])
• Build the habit of constant learning: “An hour a day of hands-on experimentation to stay ahead of the curve.” ([09:47])

Geopolitical/Existential Risk

• “A new country of millions of superhuman digital workers appearing overnight… would be a historic national security threat.” ([10:03])
• Upside: AI could “compress decades of medical progress.”
• Downside: Risks include loss of control, easier bioweapons, expanded surveillance. ([10:15 – 10:18])
• Bottom line: “This is not a fad...The next two to five years will be disorienting and the people who do best…engage now with urgency and curiosity before the future arrives as a headline.” ([10:21 – 10:39])

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Notable Industry Updates

Turmoil at AI Startups

[13:23 – 15:55]

• OpenAI Shakeup:

  • VP Ryan Biermeister fired for alleged sexual discrimination—disputes charge, says real reason was opposition to “Adult Mode” for ChatGPT.
  • Concerns cited: Adult features could intensify unhealthy attachments to AI companions; mechanisms to prevent child exploitation are seen as inadequate.
  • Internal opposition includes OpenAI’s well-being advisory council.
  • Quote from Biermeister: “The allegation that I discriminated against anyone is absolutely false.” ([13:50])

• Other Departures:

  • Researcher Zoe Hitzig quits OpenAI (NYT Op-Ed):
    “OpenAI seems to have stopped asking the questions I joined to help answer.” ([15:36])
  • XAI co-founder Jimmy Ba and at least five others have left the Elon Musk-backed lab in recent months. ([15:47])

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TikTok Launches Local Feed for US Users

[16:07 – 17:27]

• New opt-in feed displays nearby content (events, shopping, restaurants), based on user location and topic—aims to foster local community and help brick-and-mortar stores.
• Part of TikTok’s broader push to attract/retain small businesses as content creators and advertisers.
• Significant stats:
  • 7.5 million businesses use TikTok, supporting 28+ million workers (2025 Oxford Economics).
  • 84% of small business users say TikTok helps growth; 74% say it deepens local connections.

---

T-Mobile Unveils Real-time AI Phone Call Translation

[17:45 – 19:20]

• Feature: Live Translation for phone calls, translating conversations into 50+ languages, available for beta this spring.
• How it works: Runs at network level, requires only a T-Mobile user to initiate. Works over both 4G LTE and 5G; does not save recordings or transcripts.
• CTO John Saw:
  “That flexibility is important because it ensures Live Translation works for customers wherever they are, not just when they’re on the latest network technology.” ([18:46])
• Beta is free to participants, with future paywall status yet unknown.
• Compared to previous solutions, this is significant because it works natively during calls (not as an app or add-on).

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Memorable Quotes & Key Moments

• Schumer, as paraphrased by the hosts:

  • “We are at a February 2020 moment for AI… Normal life looks intact and most people think the alarm is overblown.” ([01:36 – 01:40])
  • “The future is being steered by a small set of teams at a few frontier labs where a single training run can shift the entire trajectory.” ([02:19 – 02:24])
  • “If your job happens on a screen…AI is coming for significant parts of it, and the timeline is already underway.” ([07:15 – 07:20])
  • “Swallow ego, build financial resilience, and lean into areas slower to replace—relationships, physical presence, licensed accountability…” ([08:49 – 08:59])
  • “This is not a fad…The next two to five years will be disorienting, and people who do best will be those who engage now with urgency and curiosity…” ([10:21 – 10:39])

• Zoe Hitzig on leaving OpenAI:

  • “OpenAI seems to have stopped asking the questions I joined to help answer.” ([15:36])

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Timestamps for Important Segments

• [00:32] – Episode intro, raising the “Covid moment for AI” analogy
• [01:06 – 10:39] – Deep dive on Schumer’s essay and its implications
• [13:23 – 15:55] – OpenAI and XAI staff shakeups; internal disagreements over policy and ethics
• [16:07 – 17:27] – TikTok launches local feed for US users
• [17:45 – 19:20] – T-Mobile announces AI-powered phone call translation

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Tone & Style

• Urgent, informed, conversational.
• Mix of sober warnings and practical optimism (“urgency and curiosity”).
• Candid about both risks and opportunities; practical rather than merely alarmist.

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Summary

This episode offers a sweeping view of AI at a potential societal breaking point. Grounded by Matt Schumer’s urgent essay, it calls listeners to pay close attention and act now—whether learning new skills, experimenting with AI, or rethinking career trajectories—before technological change moves beyond personal or societal control. With major industry shakeups and new consumer AI features, the hosts underline that the future is arriving much faster than most realize.

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For detailed reading:

• Matt Schumer’s full essay (link referenced in show notes).

End of Summary

Transcript

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[Brian McCullough]

Welcome to the Tech Brew right Home for Wednesday, February 11, 2026 I'm Brian McCullough today forget the ChatGPT moment. Is this the COVID moment for AI? The moment when everything has changed?

[Co-host/Tech Analyst]

It's just not that everyone knows it yet. More weird musical chairs at the AI.

[Brian McCullough]

Startups TikTok, but for around the block and do we finally have a universal translator but for phone calls, here's what.

[Co-host/Tech Analyst]

You missed today in the world of tech.

[Brian McCullough]

I'm going to lead with something unusual today.

[Co-host/Tech Analyst]

It's an essay from AI startup founder.

[Brian McCullough]

Matt Schumer, where he makes the argument that GPT 5.3, Codex and Claude Opus 4.6 can meaningfully contribute to the improvement.

[Co-host/Tech Analyst]

Of AI models, which he says would be a sign of what's coming for most knowledge work within five years. It's been a while since I've seen a piece get this much chatter online, so I'm going to link to it so you can read the whole thing in full. But also I'm gonna summarize it right now.

[Brian McCullough]

Schumer's essay is essentially a warning memo.

[Co-host/Tech Analyst]

To non tech friends and family.

[Brian McCullough]

He says we are at a February 2020 moment for AI.

[Co-host/Tech Analyst]

We're still in the phase where normal life looks intact and most people think the alarm is overblown. He's of course referencing Covid.

[Brian McCullough]

This is right before the implications become.

[Co-host/Tech Analyst]

Unavoidable, though he argues this wave will.

[Brian McCullough]

Be much, much bigger than Covid, and that the gap between what insiders are.

[Co-host/Tech Analyst]

Seeing and what the public believes is now dangero wide. He starts by explaining why he's breaking social norms. To sound dramatic, he says he has.

[Brian McCullough]

Spent years building and investing in AI.

[Co-host/Tech Analyst]

But he says he's been giving loved.

[Brian McCullough]

Ones a cocktail party version because the honest version makes him sound unhinged.

[Co-host/Tech Analyst]

Now he thinks that's no longer defensible.

[Brian McCullough]

He also emphasizes that most people in AI, including him, don't meaningfully control what's about to happen. The future is being steered by a small set of teams at a few frontier labs where a single training run can shift the entire trajectory trajectory of the technology. The first major claim he makes is the reason tech people are suddenly sounding the alarm is not because they're making distant predictions. It's because the disruption has already arrived for them. In his account, AI progress used to.

[Co-host/Tech Analyst]

Feel like big jumps, spaced far enough apart to digest.

[Brian McCullough]

Then in 2025, the cadence tightened and the margins got larger. Each release not only was better than.

[Co-host/Tech Analyst]

The last, but better by more and also arriving sooner.

[Brian McCullough]

That culminated for him on February 5th of this year, when OpenAI and Anthropic.

[Co-host/Tech Analyst]

Released new coding centric models the same day and, he says, the waterline suddenly felt at your chest.

[Brian McCullough]

He illustrates that turning point with an anecdote meant to make AI can do my job concrete rather than abstract. He claims he can now describe an.

[Co-host/Tech Analyst]

App in plain English, what it should do, and roughly how it should look.

[Brian McCullough]

And the system produces the finished product.

[Co-host/Tech Analyst]

Not a draft, not code you must clean up, but working software.

[Brian McCullough]

More strikingly, he says, the model doesn't just write code. It runs the app, clicks through features like a user, tests, flows, and iterates.

[Co-host/Tech Analyst]

On design and functionality until it meets its own standards. Then it hands it back as ready.

[Brian McCullough]

This experience leads him to a psychological conclusion.

[Co-host/Tech Analyst]

What used to feel like assistant that.

[Brian McCullough]

Needs guidance has crossed into autonomous builder.

[Co-host/Tech Analyst]

In a way that changes the economics of knowledge work.

[Brian McCullough]

Schumer argues that coding was not a random early target it was a strategic prerequisite. The labs focused on making AI great at programming because AI development itself requires.

[Co-host/Tech Analyst]

Enormous amounts of software.

[Brian McCullough]

If models can write that code, they.

[Co-host/Tech Analyst]

Can help build the next generation of models, which can write better code, which accelerates the next generation, and so on. It's recursive. The definition of this is his bridge from my job changed to your job is next.

[Brian McCullough]

Software was the first domino, largely because.

[Co-host/Tech Analyst]

It unlocks a faster path to general.

[Brian McCullough]

Capability across the the board. A second claim is that popular skepticism is often based on stale reference points. He responds directly to the common reaction.

[Co-host/Tech Analyst]

Of I tried AI and it wasn't.

[Brian McCullough]

That good by conceding that older consumer experiences, especially from 2023 and early 2024, were legitimately limited and prone to hallucinations. But he insists that in AI time, that's ancient history. In his view, today's leading models are unrecognizable even relative to six months ago. And people, judging from free tiers, are.

[Co-host/Tech Analyst]

Often a year behind what paid users see.

[Brian McCullough]

So society is underest what is already available to justify the this is moving faster than youn Think Framing. He offers a compressed timeline of capability.

[Co-host/Tech Analyst]

Leaps, for example arithmetic unreliability in 2022.

[Brian McCullough]

Exam level competence by 2023, working software.

[Co-host/Tech Analyst]

And graduate level explanations by 2024, then.

[Brian McCullough]

A step change in early 2026. He points to Metter's measurement approach, tracking how long a model can complete real world tasks end to end without human help, and noting that the autonomous task length has been rising from min, a claimed doubling time measured in months and potentially accelerating. He extrapolates that if the trend holds, we should expect systems that can work independently for days within about a year.

[Co-host/Tech Analyst]

Weeks within two years, and month long.

[Brian McCullough]

Projects within three years, Turning AI from.

[Co-host/Tech Analyst]

A tool into something more like an employee the piece's most consequential argument is.

[Brian McCullough]

Probably about feedback loops. Quote AI is now building the next AI. He quotes OpenAI's documentation stating that GPT 5.3 Codex was quote instrumental in creating.

[Co-host/Tech Analyst]

Itself, used for debugging, training, managing deployment, and diagnosing evaluations.

[Brian McCullough]

He pairs that with Anthropic CEO Dario Amodai's comments that AI is writing much of the code at Anthropic at this.

[Co-host/Tech Analyst]

Point, and that we may be one to two years from systems that autonomously build the next generation.

[Brian McCullough]

Schumer frames this as the early stage of an intelligence explosion, each generation contributing.

[Co-host/Tech Analyst]

To the next, which increases the pace again.

[Brian McCullough]

From there, he turns to what this means for work. He cites Amodai's public prediction that AI could eliminate 50% of entry level white collar jobs within one to five years, and he argues that many insiders think that's conservative. The key distinction, he says, is that this isn't like past automation that replaced narrow tasks. It's a general substitute for cognitive labor that improves across domains simultaneously. That makes just retrain yourself harder because the thing you retrain into is also.

[Co-host/Tech Analyst]

Being eaten by the same curve. He runs through some examples legal research and drafting, financial modeling and memos, content.

[Brian McCullough]

Writing, software engineering, medical analysis, and up upgraded customer service agents. While stressing these are illustrative, not exhaustive. His rule of thumb becomes if your.

[Co-host/Tech Analyst]

Job happens on a screen, reading, writing, analyzing, deciding, communicating AI is coming for.

[Brian McCullough]

Significant parts of it, and the timeline is already underway. He challenges a popular comfort belief that humans will remain uniquely valuable because of judgment, taste, creativity, empathy and strategy. His personal shock is precisely that the newest models sometimes feel like they exhibit judgment making qualitative choices, refining ux, selecting.

[Co-host/Tech Analyst]

The right call rather than merely technically correct calls.

[Brian McCullough]

Even if some deeply human qualities remain hard to replace, he notes, people are already using AI for emotional support and companionship, and he expects that reliance to grow. Meanwhile, he adds, physical labor is not immune either. Robots aren't there yet, but not yet.

[Co-host/Tech Analyst]

Can flip quickly in AI timelines.

[Brian McCullough]

The final third of the essay is prescriptive, he says.

[Co-host/Tech Analyst]

Don't freeze with this knowledge.

[Brian McCullough]

Get early. His central practical advice is to start using AI seriously and in your actual workflow, not as a novelty search box. He urges paying for the most capable.

[Co-host/Tech Analyst]

Model tiers because defaults and free versions.

[Brian McCullough]

Lag selecting the strongest model explicitly and then pushing it into high level tasks in your field contracts, spreadsheets, team performance narratives, etc. He also argues there's a short window where most organizations are still ignoring this, so the person who can produce three days of work in an hour will become immediately valuable.

[Co-host/Tech Analyst]

He recommends swallowing ego, building financial resilience with getting some savings under your belt, caution with taking on new debt in.

[Brian McCullough]

Your household and leaning into areas that are slower to replace relationships and trust, physical presence, licensed accountability, and heavily regulated.

[Co-host/Tech Analyst]

Settings, while also stressing these are time buyers, not permanent moats. He also tells readers to rethink the default guidance for their kids, optimize less.

[Brian McCullough]

For a stable professional pipeline that may be exposed and more for curiosity, adaptability and becoming a builder who can wield these new tools. Importantly, Schumer doesn't frame this as only doom. He claims the upside is real and newly accessible.

[Co-host/Tech Analyst]

The barrier to building products, learning skills and creating work is collapsing. Describe an app, he says, and you.

[Brian McCullough]

Can get a prototype quickly.

[Co-host/Tech Analyst]

Write a book with help, learn from near always available tutors.

[Brian McCullough]

His meta advice is to build the habit of adapting, becoming comfortable, constantly relearning tools because models and workflows will churn quickly. He even proposes a concrete practice, an hour, a day of hands on experimentation.

[Co-host/Tech Analyst]

To stay ahead of the curve.

[Brian McCullough]

He closes by widening from jobs to geopolitics and existential risk. He repeats Amodai's thought experiment of a new country of millions of superhuman digital workers appearing overnight, fast, tireless, networked, able.

[Co-host/Tech Analyst]

To operate anything digital, arguing that would be a historic national security threat.

[Brian McCullough]

On the upside, he says AI could compress decades of medical progress. On the downside, he points to risks.

[Co-host/Tech Analyst]

Like loss of control, deception and testing.

[Brian McCullough]

Lowered barriers to bioweapons and surveillance, state enablement.

[Co-host/Tech Analyst]

His bottom line is a set of convictions. This is not a fad.

[Brian McCullough]

Enormous capital is committing to it. The next two to five years will be disorienting and the people who do the best in this period will be those who engage now with urgency and curiosity before the future arrives as a headline.

[Co-host/Tech Analyst]

When the easy advantages are gone.

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[Brian McCullough]

On again at the various AI startups again. First, the journal says that OpenAI fired.

[Co-host/Tech Analyst]

VP Ryan Biermeister in January for alleged sexual discrimination, earlier raised concerns about the upcoming launch of adult mode on ChatGPT. QUOTE the fast growing artificial intelligence company.

[Brian McCullough]

Fired the executive Ryan Biermeister in early.

[Co-host/Tech Analyst]

January following a leave of absence, according.

[Brian McCullough]

To people familiar with the matter.

[Co-host/Tech Analyst]

OpenAI told her the termination was related to her sexual discrimination against a male colleague. The allegation that I discriminated against anyone is absolutely false, biermeister said in a statement in response to a request for comment. Biermeister served as the vice president leading.

[Brian McCullough]

OpenAI's product policy team, which develops rules for how people can use the company's.

[Co-host/Tech Analyst]

Products and helps design the enforcement mechanisms for those policies. Her ousting came ahead of OpenAI's planned.

[Brian McCullough]

Launch early this year of a mode.

[Co-host/Tech Analyst]

That will allow users to create AI Erotica in ChatGPT. The planned feature, which would permit adult themed conversation including sexual topics for adult.

[Brian McCullough]

Users, has drawn criticism from researchers at.

[Co-host/Tech Analyst]

The company who have studied the ways some people develop unhealthy attachments to chatbots. According to some of the people, they have raised the prospect that sexual content.

[Brian McCullough]

Could intensify the feelings some people have.

[Co-host/Tech Analyst]

For the AI Personas they view as companions.

[Brian McCullough]

Members of an advisory council on well.

[Co-host/Tech Analyst]

Being and AI that OpenAI convenes regularly have also expressed opposition to Adult Mode and urged the company to reconsider plans to launch it, people with knowledge of those discussions said.

[Brian McCullough]

Before her firing, Biermeister told colleagues that she opposed Adult Mode and worried it would have harmful effects for users, people familiar with her remarks said. She also told colleagues that she believed OpenAI's mechanisms to stop child exploitation content.

[Co-host/Tech Analyst]

Weren'T effective enough enough, and that the company couldn't sufficiently wall off adult content from teens, the people said. End quote. Meanwhile, another OpenAI researcher, Zoe Hitzig, who helped shape how models were built and.

[Brian McCullough]

Priced, says in a New York Times.

[Co-host/Tech Analyst]

Op ed that she has quit after 2 years at OpenAI due to deep reservations about ads and OpenAI's overall strategy. QUOTE I once believed I could help.

[Brian McCullough]

The people building AI get ahead of the problems it would create. This week confirmed my slow realization that.

[Co-host/Tech Analyst]

OpenAI seems to have stopped asking the questions I joined to help answer. End quote Meanwhile, XAI co founder Jimmy Ba says that he is leaving that.

[Brian McCullough]

Company, making him the sixth co founder to depart XAI in recent months. Sources and social media posts also show.

[Co-host/Tech Analyst]

That at least six researchers have left Xai in recent weeks.

[Brian McCullough]

TikTok has launched an opt in local feed in the app's US Version, including content related to travel news, events, shopping.

[Co-host/Tech Analyst]

And dining near a given user's location. Quoting TechCrunch, the company explains in its.

[Brian McCullough]

Announcement that the feed is meant to help users stay connected to their local community, and its posts are shown to.

[Co-host/Tech Analyst]

People based on their location, the content's topic and when the content was posted. This makes it a more current feed of local information, like suggestions of new restaurants to try, local events, shopping suggestions and more. The new feature also ties into TikTok's.

[Brian McCullough]

Push to attract small businesses to its.

[Co-host/Tech Analyst]

App, not only as content producers but as advertisers.

[Brian McCullough]

This could help insulate it against further.

[Co-host/Tech Analyst]

Regulation and help it to claim, as.

[Brian McCullough]

Meta does, that it should not be.

[Co-host/Tech Analyst]

Reined in because so many small businesses rely on its services to reach their customers. TikTok notes that 7.5 million businesses currently.

[Brian McCullough]

Use the app to reach global customers, and these businesses support more than 28.

[Co-host/Tech Analyst]

Million workers, per a 2025 Oxford Economics report. The company also highlighted figures from the.

[Brian McCullough]

Small Business and Entrepreneurship Council, which found that 84% of TikTok small business users said the platform helped grow their business and 75% said TikTok helped them reach.

[Co-host/Tech Analyst]

Customers beyond their local area. In addition, another 74% said TikTok helps them connect with their local community.

[Brian McCullough]

As TikTok sees it, the local feed will help generate real world traffic and.

[Co-host/Tech Analyst]

Sales for these brick and mortar stores across the US End quote. And finally today, this sounds incredibly useful. Quoting the Verge T Mobile is preparing.

[Brian McCullough]

To test a new AI feature that translates live phone calls into more than 50 languages. Live translation is launching in beta this spring, according to a press release, with.

[Co-host/Tech Analyst]

Registration for eligible T Mobile customers available starting today.

[Brian McCullough]

Some of the biggest barriers wireless customers.

[Co-host/Tech Analyst]

Face are the simplest ones, like being able to understand each other, said T Mobile CEO Srini Gopalan.

[Brian McCullough]

By bringing real time AI directly into our network, we're delivering more than connectivity, turning conversations into communities Starting with Live Translation, enabling it at the network level means users don't need specific apps or devices to use this service. The only requirement is that translation must.

[Co-host/Tech Analyst]

Be initiated by a T Mobile network user.

[Brian McCullough]

The feature will be available on the carrier's 5G advanced network, but T Mobile President of Technology and CTO John Saw.

[Co-host/Tech Analyst]

Told the Verge that Live Translation works over both 4G LTE and and 5G.

[Brian McCullough]

The key requirement is a voiceover LTE connection, which allows the service to operate reliably across a wide range of devices.

[Co-host/Tech Analyst]

And network conditions, said Saw.

[Brian McCullough]

That flexibility is important because it ensures.

[Co-host/Tech Analyst]

Live Translation works for customers wherever they are, not just when they're on the latest network technology.

[Brian McCullough]

T Mobile says that Beta participants can activate Live Translation for as long as.

[Co-host/Tech Analyst]

They need by dialing 87 at no additional cost during the beta period.

[Brian McCullough]

T Mobile has not mentioned if Live Translation will be paywalled when it launches.

[Co-host/Tech Analyst]

To the general public this year. Beta Participants participants will also be able to activate Live translation by saying hey T Mobile. Later this spring.

[Brian McCullough]

It's worth flagging that the feature only works during an active call, and that T Mobile won't save call recordings or transcripts. The service is designed to translate conversations in real time and then move on.

[Co-host/Tech Analyst]

Without storing the content of those calls, Saw said. End quote.

[Brian McCullough]

Ugh.

[Co-host/Tech Analyst]

This is the latest I've been getting a show out the door in a long, long time.

[Brian McCullough]

It's not worth going into, but I.

[Co-host/Tech Analyst]

Just had a nightmare of a day. My apologies for being late. Talk to you tomorrow.

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