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Web Scraping APIFeaturesInfrastructure FeaturesPlatformsTravel APIsReal Estate APIsPricing
Platforms
Google SearchGoogle TrendsBingBraveGoogle MapsDatasetsGeocodingJustWatchAirbnbTripAdvisorZillowCoinGeckoYahoo FinanceGoogle FinanceAmazon
Developers
DocsGetting StartedAuthenticationAPI ExamplesRecipesShowcasesBlogChangelogPlaygroundSDKsIntegrationsMCPGitHub
Use cases
SERP MonitoringGoogle Maps LeadsTravel & Hospitality ResearchProperty Market IntelligenceApp Review AnalysisReview & Reputation MonitoringTikTok Trend IntelligenceYouTube Creator IntelligenceAmazon Product MonitoringMusic Catalog / Playlist IntelligencePodcast & Audio IntelligenceCrypto Market ResearchFinance Market DataAI Agent Web Data
Legal
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© 2026 Built with 💖 by Tony Wang

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YouTube video intelligence showcase

Anthropic’s $30B Ramp, Mythos Doomsday, OpenClaw Ankled, Iran War Ceasefire, Israel's Influence

The All-In Podcast panel discusses Anthropic’s decision to withhold its Mythos model after reported cyber capabilities and vulnerability findings, debating whether the move is responsible safety practice or strategic fear-marketing. The episode also features the show’s signature opening banter and host chemistry.

All-In PodcastMythos model and cyber riskAI safety and self-regulationCold open and panel banter1 hr 29 minApr 10, 20266 comment sample
Transcript API Comments API Source video

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Video intelligence API workflow

Video ID
DVBJQQCjgXU
Available APIs
TranscriptCommentsMetadata
YouTube transcript API YouTube comments API YouTube video metadata API YouTube scraping API Creator intelligence workflow Pricing Source video
Open transcript in Playground Open comments in Playground Get API key

cURL

curl "https://api.crawlora.net/api/v1/youtube/transcript/DVBJQQCjgXU" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Video summary

SEO summary

In this All-In Podcast episode, the hosts react to Anthropic’s decision to hold back its Mythos model after reported cyber capabilities and thousands of discovered vulnerabilities. The discussion centers on whether the move reflects genuine safety concerns, competitive strategy, or both, alongside broader reflections on AI release practices and defensive coordination.

Anthropic withholds Mythos

The panel debates Anthropic’s decision to withhold its Mythos model over cyber risk and whether the move is responsible or strategic.

AI safety and cyber defense

Hosts discuss model safety, browser and system vulnerabilities, and the idea of sandboxing advanced AI before broad release.

Cold open and panel dynamics

The episode opens with fast-paced banter and host chemistry that set the tone for the broader conversation.

Topics

Mythos model and cyber risk

A discussion of Anthropic’s Mythos model, reported cyber capabilities, and the choice to delay public release.

AI safety and self-regulation

The hosts weigh whether AI companies should sandbox powerful models and coordinate defensive testing before release.

Cold open and panel banter

The episode opens with lively jokes and back-and-forth among the panel, including familiar recurring banter.

Audience comments snapshot

What viewers are saying

Comments focus on the return of the cold open, praise for the panel format, and strong interest in Anthropic, Claude, and the episode’s broader AI and geopolitics conversation. Several viewers call the episode one of the podcast’s best, while others highlight specific hosts and side discussions.

Sampled comments
6
Visible likes
209
Public replies
14

Comment themes

AI risk meets market strategy

Audience feedback suggests the episode resonated most where it mixed AI risk, product strategy, and candid panel debate.

Classic All-In banter

Comments also reflect appreciation for the podcast’s familiar style: jokes, back-and-forth, and strong host dynamics.

Audience signals

Cold open comeback

Viewers noticed and enjoyed the opening banter, calling the cold open a welcome return.

Anthropic and Claude interest

The Anthropic segment drew attention, especially around Claude and how the model is billed on API basis.

Host chemistry

A few comments singled out individual hosts, especially Brad, for adding to the episode’s energy.

Representative public comments

@arjunsridhar33502026-04-30

Cold open is back!

192 likes14 replies
@tylerrodriguez46482026-04-30

The Claude agent feature is billed on API basis currently

6 likes0 replies
@kevorod2026-04-30

translation is indeed so powerful in being able to understand each other instead of inserting our usual ignorance-based fears and prejudices. Kudos JCal for bringing it up and Chamath I expected more from you on this

2 likes0 replies
@MommyZombie3222026-04-30

Dwarkarsh Patel with Dario was an epic podcast

4 likes0 replies
@Gerald.rehngd2026-04-30

One of the all time best episodes of the pod. Well done guys and thank you.

1 likes0 replies
@portableoffgrid2026-04-30

Brad is my favorite bestie.

4 likes0 replies
Build with YouTube comments data

Use Crawlora's YouTube comments API with the video and transcript endpoints to collect viewer language, thread activity, and audience signals.

Comments API docs Playground
Build this workflow
1Fetch video metadata

Start with the video endpoint to capture ID, channel, publish date, duration, and source context.

2Fetch transcript

Pull timestamped transcript data for summarization, search, citation, and RAG preparation.

3Fetch public comments

Collect visible audience comments to identify themes, objections, questions, and engagement signals.

4Store, analyze, report

Persist structured JSON, run analysis, and publish dashboards, alerts, or research reports.

Public transcript excerpt

Transcript

Timestamped public transcript passages group captions into readable sections, making the video easier to scan, cite, and summarize.

Public excerpt
12:49

won't just be anthropic that makes these capabilities available. We know that like let's say the Chinese open source models like Kimmy K2, it's about 6 months behind. So we have a window here of maybe 6 months where we're still in this pre-release period where I think companies that have large code bases can

Build with YouTube transcript data

Use Crawlora's YouTube transcript API to fetch fresh timestamped transcript data for your own server-side workflows.

API docs Sign in

Related showcases

More structured YouTube examples

All-In Podcast

SpaceX’s $2T Case, Nvidia’s Shock Selloff, America Turns on AI, Trump Pulls AI Order, Bond Crisis?

All-In explores Andrej Karpathy joining Anthropic, recursive self-improvement, and whether AI is entering a new phase of faster progress and real-world utility.

Andrej Karpathy joins AnthropicRecursive self-improvement
All-In Podcast

Trump-Xi Summit, Benioff, OpenAI vs Apple, Multi-Sensory AI, El Niño | All-In Podcast

All-In Podcast episode 273 focuses on the Trump-Xi summit, U.S.-China trade, and the strategic role of CEOs like Marc Benioff in economic diplomacy. The hosts also reference OpenAI vs Apple, multi-sensory AI, and El Niño, while commenters praised Benioff’s perspective and the episode’s wide-ranging business discussion.

Trump-Xi summit and U.S.-China strategyMarc Benioff and China business ties
All-In Podcast

Elon’s Anthropic Deal, The Next AI Monopoly?, “FDA for AI” Panic, Trading the AI Boom

All-In Podcast breaks down Elon’s compute move, Anthropic’s supply constraints, and the evolving race to build the next AI infrastructure giant.

Elon and AnthropicCompute and power constraints

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Video intelligence API workflow

Video ID
DVBJQQCjgXU
Available APIs
TranscriptCommentsMetadata
YouTube transcript API YouTube comments API YouTube video metadata API YouTube scraping API Creator intelligence workflow Pricing Source video
Open transcript in Playground Open comments in Playground Get API key

cURL

curl "https://api.crawlora.net/api/v1/youtube/transcript/DVBJQQCjgXU" \
  -H "x-api-key: $CRAWLORA_API_KEY"