Hard Fork
Hard Fork

All Gas, No Brakes in A.I. + Metaverse Update + Lessons From a Prompt Engineer

ChatGPT can now hear, see and speak — and that’s just the start of the deluge of A.I. news this week. Kevin and Casey unpack the lightning-speed updates. Then, Meta’s next-generation headset, Quest 3, is here. Is there still hope for the metaverse? And: An interview with a prompt engineer. Yes, that

Featured Speakers

The New York Times Host

Topics Discussed

Episode Summary

Executive Summary: The episode captures a fast-moving week in AI, centered on OpenAI’s new multimodal ChatGPT features (web browsing, image understanding, and voice), Amazon’s major investment in Anthropic, Spotify’s AI podcast translation plans, and Meta’s rollout of AI chatbots and its Quest 3 headset. The hosts argue AI capabilities are improving so quickly that users and businesses need to adapt now, while VR remains promising but still underwhelming. A guest prompt engineer explains how models are tested, constrained, and improved in practice.

Main Topics: OpenAI's multimodal ChatGPT upgrade (Priority: 5/5): The hosts break down ChatGPT’s new ability to browse the web, cite sources, interpret images, and converse by voice, emphasizing how much more useful and human-like the product feels. Casey shares hands-on examples, from bedtime stories to dream analysis and image tasks. AI acceleration and the pace of change (Priority: 5/5): The conversation frames the week as evidence that AI development is moving far faster than expected or than prior calls for a pause suggested. The hosts repeatedly note that new capabilities are arriving almost weekly, forcing professionals to rethink how quickly they must adapt. Amazon-Anthropic deal and the AI power race (Priority: 4/5): The hosts analyze Amazon’s multibillion-dollar investment in Anthropic as part of a broader contest among major tech platforms to control frontier AI labs and integrate their models into products and cloud infrastructure. Spotify's voice translation for podcasts (Priority: 4/5): Spotify’s partnership with OpenAI to translate podcasts into other languages while preserving the original host’s voice is presented as a major step for global podcast distribution and monetization, with possible implications for YouTube and other creators. Meta’s AI chatbots and social strategy (Priority: 4/5): Meta’s rollout of Meta AI and celebrity-inspired chatbots is discussed as both a novelty and a strategic move to increase engagement, possibly competing with Character.AI and supplying endlessly fresh content for Facebook, Instagram, WhatsApp, and Threads. Quest 3 and the current state of VR (Priority: 3/5): Casey’s demo of Meta’s Quest 3 leads to a skeptical but fair assessment: it is cheaper and incrementally better, especially with mixed reality, but still feels like an immature platform that has not yet become compelling for everyday use. Prompt engineering as an emerging job (Priority: 5/5): Riley Goodside explains what prompt engineers do, how red-teaming and boundary-testing work, and why the role may eventually fade as models become easier to use—though it currently sits at the frontier of AI work.

Key Arguments: AI development is not slowing down; the pace of capability gains is so fast that even experts struggle to keep up. OpenAI’s voice and vision features are not just incremental—they make ChatGPT feel like a tutor, companion, and utility tool at once. Large tech companies are aligning around frontier AI labs through big money and infrastructure deals, making AI a proxy battle among giants. Translation and voice cloning could massively expand podcasts and other creator media by removing language barriers. Meta’s AI strategy is less about pure model quality and more about engagement, time spent, and creating always-on content streams. VR hardware is improving but still lacks a truly irresistible everyday use case outside of rhythm/action games and novelty experiences. Prompt engineering is real work today, but its long-term future is uncertain because the skill may become as universal as typing.

Data Points: OpenAI image feature rollout: Available to ChatGPT Plus and enterprise users in the next couple of weeks - The hosts discuss the new image understanding and voice features announced by OpenAI. OpenAI browsing availability: Already available to ChatGPT Plus and enterprise users - ChatGPT can browse the internet and cite sources for up-to-date answers. Amazon investment in Anthropic: Up to $4 billion - Amazon’s deal gives it a minority stake and makes AWS and Amazon chips central to Anthropic’s future model development. Anthropic prior Google funding: About $300 million in February plus another round in May - Casey notes this as a wrinkle in the Amazon deal and a sign of multi-cloud/frontier-lab alignment. FTX stake in Anthropic: Early investor stake now held by FTX creditors - The discussion notes the possibility that Anthropic’s growth could indirectly benefit FTX creditors. Spotify translation pilot languages: Spanish first, then French and German in the coming weeks - Spotify is testing AI voice translation for selected podcasts. Meta AI avatars: 28 additional AIs - Meta announced 28 persona chatbots in addition to Meta AI across its apps. Quest 3 price: $499.99 - Meta positions Quest 3 as a much cheaper alternative to Apple’s Vision Pro. Apple Vision Pro price: $3,500 - Referenced as the premium competitor in mixed reality/headset hardware. Anthropic prompt engineer salary range: $280,000 to $375,000 - Mentioned as a high-profile example of the market for prompt engineering talent. GPT-4 subscription cost: $20 per month - Casey explains why many users, including himself at first, stayed on GPT-3.5. User input sample for voice cloning: About 1.5 minutes of audio - Casey contrasts recent cloning quality with an earlier deepfake that required an hour of his voice.

Pivotal Quotes: "It is all gas and no brakes when it comes to AI." — Casey Newton: Describing the flood of AI announcements and the sense that development is accelerating uncontrollably. "I think people are absolutely going to fall in love with ChatGPT. Like, there will be ChatGPT romances." — Kevin Roose: Reacting to the new voice mode and its highly conversational, companion-like feel. "prompt engineer as it was imagined at the time ... is like calling yourself a typist." — Riley Goodside: Explaining why the job is real now but may fade as models become easier for everyone to use.

Implications: The episode suggests AI is moving from novelty to infrastructure: people should adopt and test it now or risk falling behind. At the same time, VR remains a slower-moving bet, and the future of many AI-adjacent jobs and media formats will depend on how quickly these tools become ordinary.

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About Hard Fork

“Hard Fork” is a show about the future that’s already here. Each week, journalists Kevin Roose and Casey Newton explore and make sense of the latest in the rapidly changing world of tech. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. Also, for more podcasts and narrated articles, download The New York Times app at nytimes.com/app.

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