Discover/EUVC/E691 | This Week in European Tech with D...

OpenAI fires back with GPT 5.3 just 20 minutes after Anthropic's release

EUVC · E691 | This Week in European Tech with Dan, Mads and Lomax

“you know, captured the world of AI and the our imagination three years ago with the release of ChatGPT.”

3:56 / 4:23

Find this show

Find on SpotifyFind on Apple Podcasts

you know, captured the world of AI and the our imagination three years ago with the release of ChatGPT. And Anthropic then came from from the back kind of so, you know, OpenAI Renegade setting up the competitor and actually overtook OpenAI in the interim in terms of the enterprise, in terms of coding, and and so they released that model yesterday. But OpenAI within twenty minutes hit back with a formidable model GPT 5.3.

About this clip

The hosts discuss the intense AI competition between OpenAI and Anthropic, highlighting how Anthropic emerged from being an OpenAI spinoff to overtaking them in enterprise and coding applications. They cover the rapid-fire competitive response when OpenAI released GPT 5.3 within just 20 minutes of Anthropic's latest model launch.

Why this clip

This captures a dramatic moment in the AI wars with the lightning-fast 20-minute competitive response that illustrates the intensity of big tech rivalry.

3:56 - 4:2327smarket insight
ai-competitionopenai-anthropicenterprise-ai

Share

LinkedInX

What they said next

AI model wars explode: OpenAI vs Anthropic rivalry reaches new heights

1:55 - 31s · market insight

More from this episode

EUVC

market insight

AI model wars explode: OpenAI vs Anthropic rivalry reaches new heights

The hosts dive into an intense week of AI model releases, highlighting the escalating competition between OpenAI and Anthropic. They break down the flurry of flagship launches and discuss what this rapid-fire model deployment means for the AI landscape.

1:55 - 2:2631s
ai-modelsopenai-anthropic-rivalrymodel-releases

EUVC

market insight

Why space startups can lose 18 months of runway from one failed experiment

A discussion of the unique challenges facing space startups, where lengthy booking times and limited testing opportunities mean a single failed experiment can cost 18 months of precious runway. The conversation contrasts this with SpaceX's frequent launch capabilities that allow for rapid iteration.

46:10 - 46:4333s
space-techstartup-challengestesting-cycles

EUVC

market insight

Anthropic's AI discovers 500+ security flaws in open source code

The hosts discuss Anthropic's latest model Opus 4.6, which discovered over 500 serious security issues in open source libraries and developed patches for them. This represents a significant advancement in AI capabilities for code security analysis, challenging the traditional open source philosophy that 'with enough eyeballs, all bugs are shallow.'

7:48 - 8:2335s
ai-securityopen-sourceanthropic

EUVC

Consequences

He's making hate speech and other forms of misinformation online a criminal offense and removing the ability for under sixteens to use social media. But it does raise the challenge of how are you gonna prosecute, where are the free speech lines, and how is the state going to control?

Touches on contentious policy issues with clear stakes. Frames the downstream implications of social media regulation in accessible terms.

33:28 - 34:0436s

Similar clips from other shows

a16z Podcasta16z Podcast · Marc Andreessen

market insight

China copies American AI breakthroughs but can't make them 10x better

Marc Andreessen explains how China has been able to replicate American AI lab innovations through model distillation and infrastructure optimization, but hasn't been able to create dramatically superior versions. He notes that distillation - training models on answers from previous models - is happening in the US as well, making the competitive dynamics more complex than they appear.

14:57 - 15:4448s
ai-competitionmodel-distillationchina-ai

Masters of ScaleMasters of Scale

market insight

Why Google could have built ChatGPT first but didn't

This clip explores how established tech companies like Google had the capability to release ChatGPT-like products earlier but held back due to reputational concerns. It highlights how newcomer OpenAI had a competitive advantage precisely because they didn't have an existing reputation to protect, allowing them to take risks that incumbents wouldn't.

26:58 - 27:1618s
ai-competitionreputation-riskincumbent-disadvantage

The Twenty Minute VC (20VC)The Twenty Minute VC (20VC)

contrarian take

OpenAI exec reveals why competition actually helps them win the AI race

Alex Embiricos from OpenAI's Codex team explains their counterintuitive approach to competition - they actually benefit when rivals like Warp launch new features because it provides learning opportunities. He argues that open innovation in the coding AI space helps everyone reach similar conclusions faster, while OpenAI maintains key advantages like ChatGPT's massive distribution.

27:04 - 27:5854s
ai-competitioncoding-aiproduct-strategy

Lenny's PodcastLenny's Podcast

market insight

Most AI deployments have negative ROI according to OpenAI insider

OpenAI's Sherwin Wu reveals that many companies are seeing negative returns on their AI investments, though he admits the data is hard to measure quantitatively. He discusses what he's observing from companies attempting AI implementations and hints at common failure patterns.

37:37 - 38:1437s
ai-roiai-deploymententerprise-ai

From the blog

Comparison

Clypt vs Opus Clip: Why Generic AI Clippers Fail on VC Podcasts

8 min read

Want clips like this for your podcast?

We find your top 5-8 clips, write the hooks, and deliver ready-to-post content. First 2 episodes are free.

Get 2 Episodes Clipped Free