Vercel CEO Guillermo Rauch Discusses the Battle to Separate Models from Agents

<div>
  <h2>Vercel: A Rising Force in AI Software Deployment</h2>

  <p id="speakable-summary" class="wp-block-paragraph">Known for its robust cloud infrastructure, <a target="_blank" href="https://vercel.com/" rel="noreferrer noopener nofollow">Vercel</a> has rapidly evolved into a pivotal player in AI software solutions. Currently, the company processes an impressive 6 million deployments each day, with half being driven by advanced coding agents, and over 1 trillion tokens passing through <a target="_blank" href="https://vercel.com/blog/ai-gateway-production-index-june-2026" rel="noreferrer noopener nofollow">its AI gateway</a>.</p>

  <p class="wp-block-paragraph">Following the recent ShipNYC conference, we had the opportunity to speak with Vercel CEO Guillermo Rauch about the current landscape of AI and the competitive dynamics between platform companies like Vercel and major AI labs. Here’s a curated transcript of our conversation.</p>

  <h3>Shifting Focus: From Prototyping to Practical Applications</h3>

  <p class="wp-block-paragraph"><strong>It feels like there's a different energy in the community this year, with fewer pilot programs and more emphasis on practical implementation. What has Vercel's journey looked like amid this change?</strong></p>

  <p class="wp-block-paragraph">Last year revolved around exploration and prototyping. Everyone was encouraged to unleash their creativity with agents. We witnessed a substantial number of agents developed and deployed organically within Vercel. However, as we transitioned to implementing agents in production, we faced several challenges.</p>

  <p class="wp-block-paragraph">The most significant takeaway for me was the emergence of two standout use cases for agents. First is the coding agent, which is a major driver of global token utilization. With the surge in software production, finding effective deployment solutions became critical. The second use case involves internal agents that facilitate company operations, raising questions about data security and auditing agent activities.</p>

  <p class="wp-block-paragraph">To address these concerns, we introduced a framework called Eve, allowing users to outline an agent’s instructions and capabilities in natural language. Additionally, we developed Vercel Sandbox, a controlled environment where agents can operate freely while ensuring tight data access policies.</p>

  <h3>Mitigating Risks Through Data Control</h3>

  <p class="wp-block-paragraph"><strong>What kinds of issues does this help circumvent?</strong></p>

  <p class="wp-block-paragraph">The sandbox’s primary benefit is maintaining data control. A significant concern in AI arises from coding IDEs like Devin or Cursor, which could potentially train on an entire codebase if misused. I once spoke with the president of Airbus, who highlighted the risk of losing decades of specialized C++ code for aerospace engineering due to a poorly installed developer tool.</p>

  <h3>Unpacking Internal Corporate Agents: A Practical Use Case</h3>

  <p class="wp-block-paragraph"><strong>We often hear about coding agents, but what does an internal corporate agent look like in practice?</strong></p>

  <p class="wp-block-paragraph">Imagine a sales representative at Vercel focused on expanding existing accounts. Her primary challenge hasn’t been a lack of creativity or relationship-building; rather, it's been access to comprehensive data. She previously couldn't identify the fastest-growing accounts without waiting for a lengthy Q1 project to complete.</p>

  <p class="wp-block-paragraph">We faced similar bottlenecks for years at Vercel, particularly in the sales side, where I initially struggled due to my lack of experience with Salesforce. Now, with Eve, I can have a meaningful impact across the company. The same technology that supports our customer-facing agents can also enhance productivity. Agents are pushing companies to embrace transparency, challenging the data-trapping norms of many SaaS giants.</p>

  <h3>Evolving Relationships: Clients and AI Labs</h3>

  <p class="wp-block-paragraph"><strong>How are client relationships with major AI laboratories evolving?</strong></p>

  <p class="wp-block-paragraph">Last year, many companies committed to a single lab partner, opting to build everything on OpenAI or Anthropic. Now, there's a broader understanding of how to integrate various components—model, harness, data platform, sandbox, gateway—interchangeably. Clients can experiment with OpenAI, Anthropic, or Gemini, which is gaining traction due to its strong price/performance balance. Additionally, emerging open models like DeepSeek and GLM-5.2 are gaining popularity.</p>

  <h3>Competition at the Forefront: Infrastructure Platforms vs. AI Labs</h3>

  <p class="wp-block-paragraph"><strong>Is there a competitive aspect between Vercel and these labs?</strong></p>

  <p class="wp-block-paragraph">Certainly. Recently, OpenAI launched tools that allow users to publish directly to the web without leaving their ecosystem. This positioning presents an opportunity for us, as they may inadvertently direct users to consider Vercel for web hosting. As these platforms add more capabilities, they increasingly compete with existing infrastructure providers.</p>

  <p class="wp-block-paragraph">We’re at a pivotal moment where the relationship between models and agents is up for debate. Will intelligence be centralized within one provider, or will organizations adopt a more modular approach, choosing specific elements to build upon? This modularity reflects traditional software engineering and is what we aim to deliver, positioning ourselves as the AWS of this new era, advocating for a future of open protocols.</p>
</div>
<p><em>When you purchase through links in our articles, <a target="_blank" href="https://techcrunch.com/techcrunch-affiliate-monetization-standards/">we may earn a small commission</a>. This doesn’t affect our editorial independence.</em></p>

This rewritten article includes engaging headlines optimized for SEO while maintaining the original content’s essence.

Here are five FAQs based on the topic of Guillermo Rauch and Vercel’s position on the separation of models from agents:

FAQ 1: What does Guillermo Rauch mean by "splitting off models from agents"?

Answer: Guillermo Rauch advocates for separating machine learning models from the specific agents (or applications) that utilize them. This separation allows for greater flexibility, making it easier to update or replace models without having to overhaul the entire application.

FAQ 2: Why is this separation important in the tech industry?

Answer: The separation enhances modularity and scalability. By decoupling models from agents, developers can innovate faster, improve maintenance processes, and facilitate testing and deployment of models independently, which can lead to more efficient workflows and quicker iterations.

FAQ 3: How does Vercel’s platform support this initiative?

Answer: Vercel’s platform is designed to enable seamless integration of front-end technologies and APIs. By facilitating the independent deployment of models, Vercel helps developers adopt the split model-agent architecture without significant overhead, supporting better performance and user experiences.

FAQ 4: What challenges does the industry face in implementing this split?

Answer: One major challenge is ensuring compatibility and communication between the independent models and agents. Additionally, developers need to address concerns around model versioning, data consistency, and overall system complexity that may arise from managing separate components.

FAQ 5: What is the potential impact of this approach on the future of machine learning?

Answer: By promoting a split between models and agents, this approach could accelerate innovation in machine learning applications. It allows for rapid experimentation with different models, encourages collaboration across teams, and ultimately leads to more agile and responsive software development practices in various industries.

Source link

Cluely’s Roy Lee Discusses the Ragebait Strategy in Startup Marketing

Mastering the Art of Going Viral: Insights from Cluely’s Roy Lee

Roy Lee from Cluely stresses the importance of viral marketing for startup founders.

Focus on Distribution in Supercharged Markets

At Disrupt 2025, Lee emphasized, “If you’re not entrenched in deep tech, it’s crucial to shift your focus to effective distribution strategies.”

Viral Marketing Isn’t for Everyone

Lee candidly noted that not all founders possess the innate qualities required for viral success. “If you have solid engineering skills, you might struggle to create engaging content — and that’s okay. For many, going viral might just not be feasible.”

Cluely: A Case Study in Controversial Success

This April, Cluely’s AI assistant gained traction through a bold, albeit false, claim that its undetectable features could “help you cheat on anything.” Despite being debunked by various proctoring services, the company swiftly attracted $15 million from Andreessen Horowitz, rising to prominence in the competitive AI assistant landscape.

Controversy as a Strategy

Lee shared his knack for generating attention, often through controversy. “I excel at presenting myself in provocative ways,” he revealed onstage, “which tends to ignite strong reactions from people.”

The New Currency: Attention Over Reputation

For Lee, the rules of social media have changed significantly. “In today’s world, reputation is fading,” he stated. “While some might cling to traditional standards, influencers like Sam Altman and Elon Musk dominate the conversation.”

Embracing Extreme Authenticity

“It’s crucial to adapt to a shifting landscape where authenticity and personal engagement matter,” he added, recognizing the evolving dynamics of audience interaction.

The Jury’s Out on Revenue Numbers

Although Lee was hesitant to disclose Cluely’s financial metrics, he shared, “I’ve learned to keep revenue figures private; if you’re thriving, few discuss it, but if you’re struggling, it’s all anyone talks about. I’ll say we’re performing better than I anticipated, though we’re not the fastest-growing company out there.”

Here are five FAQs regarding Cluely’s Roy Lee and the ragebait strategy for startup marketing:

FAQ 1: What is the ragebait strategy in startup marketing?

Answer: The ragebait strategy involves creating provocative content that elicits strong emotional reactions—especially anger or outrage—from the audience. By tapping into controversial topics or polarizing opinions, startups can generate buzz, increase engagement, and drive traffic to their platforms.

FAQ 2: How can startups effectively implement the ragebait strategy?

Answer: Startups can implement this strategy by identifying trending issues or debates relevant to their target audience. They should craft engaging content—like articles, social media posts, or videos—that presents a bold stance or challenges popular beliefs, encouraging discussions and shares.

FAQ 3: Are there risks associated with the ragebait strategy?

Answer: Yes, there are potential risks. While it can drive immediate engagement, using ragebait can alienate some audience members or damage a startup’s reputation. It’s crucial to balance provocation with authenticity and ensure that the content aligns with the brand’s values.

FAQ 4: How does the ragebait strategy differ from traditional marketing tactics?

Answer: Traditional marketing often focuses on positive messaging and building long-term relationships with consumers, whereas the ragebait strategy prioritizes quick, electrifying reactions that lead to immediate visibility and engagement. This divergence means startups using ragebait must be prepared for both positive and negative feedback.

FAQ 5: Can the ragebait strategy be used sustainably in marketing?

Answer: While the ragebait strategy can yield quick results, relying solely on it isn’t sustainable. It’s important for startups to balance ragebait tactics with genuine, value-driven content that fosters loyalty and trust. Creating a diversified marketing approach will help sustain engagement over time.

Source link

Sam Altman Discusses Life Beyond GPT-5 Over Bread Rolls

Exploring OpenAI’s Ambitious Future: Insights from a Dinner with Sam Altman

As I gaze at Alcatraz Island from a Mediterranean restaurant in San Francisco, the atmosphere tingles with anticipation. Amongst the buzz of fellow journalists, OpenAI CEO Sam Altman enters, his bare iPhone in hand, prompting a bold yet casual remark: “No phone case is a bold choice.”

Sam Altman on the Beauty of Innovation

Immediately, I recognize that for Altman, who employs Apple veteran Jony Ive, the aesthetics of his iPhone outweigh any concerns about fragility.

“Listen, we’re going to ship a device that is going to be so beautiful,” he asserts, alluding to OpenAI and Ive’s upcoming AI device. “If you put a case over it, I will personally hunt you down,” he quips.

Unpacking the Future of AI Beyond GPT-5

Gathered with nearly a dozen tech reporters for an on-the-record dinner (with dessert discussions off the record), we’re left with more questions than answers regarding OpenAI’s next steps.

For example, why is Nick Turley, the VP of ChatGPT, offering me a lamb skewer just a week after the launch of GPT-5? Is it an effort to ensure favorable coverage for what has been a rather lukewarm reception?

The Competitive Landscape Post-GPT-5

Unlike its predecessor GPT-4, which raised the bar for AI capabilities, GPT-5’s performance is now on par with models from Google and Anthropic. OpenAI has even reintroduced GPT-4o after users expressed concerns with GPT-5’s tone and routing.

Throughout the evening, it was clear that OpenAI’s executives see the future extending beyond just model launches. The company is now on a mission to revolutionize legacy players in areas such as search, consumer hardware, and enterprise software.

New Ventures on the Horizon for OpenAI

Altman reveals that the incoming CEO of applications, Fidji Simo, will spearhead various consumer apps beyond ChatGPT. She’s expected to oversee the launch of an AI-powered browser, potentially challenging Chrome.

Altman even entertains the notion of acquiring Chrome, stating, “If Chrome is really going to sell, we should take a look at it.”

Social Media Reimagined: OpenAI’s Aspirations

Simo may also oversee an AI-driven social media app. Altman expresses his dissatisfaction with the current AI applications in social media, emphasizing his desire to create a more engaging experience.

A Brain-Computer Interface Initiative

OpenAI is also looking into backing a brain-computer interface startup, Merge Labs, to compete with Elon Musk’s Neuralink. The extent of integration with OpenAI’s models remains unclear, but Altman describes it as a significant investment opportunity.

Addressing GPT-5’s Initial Reception

Despite exciting talks about new projects, the conversation inevitably circles back to GPT-5’s controversial rollout. Both Turley and Altman reflect on the lessons learned from the experience.

“I genuinely thought we screwed that up,” Altman admits about the abrupt obsolescence of GPT-4o without prior notification. He assures that OpenAI plans to provide clearer “transition periods” for future model deprecations.

Improving User Experience with AI

Turley mentions OpenAI is already implementing updates to make GPT-5’s responses “warmer” while avoiding reinforcement of negative behaviors. Striking that balance is critical, especially as some users develop dependencies on ChatGPT; Altman estimates that even if less than 1% of users exhibit unhealthy relationships, that could still amount to millions.

Record Growth Amidst Criticism

Despite GPT-5’s rocky start, OpenAI reports soaring demand, with API traffic doubling within 48 hours post-launch. Current users are adopting GPT-5 as their default model, evidencing strong business performance despite critical feedback.

Charting a New Course for OpenAI

The contradictions of disappointing launches coupled with record usage encapsulate OpenAI’s unique situation. Altman’s aspirations suggest ambitions that stretch beyond merely being recognized as the developer of ChatGPT, with the potential for a broader business model akin to Alphabet’s structure.

As the evening wraps up, it becomes evident that this gathering wasn’t just about dissecting GPT-5, but rather a glimpse into a company eager to redefine its identity, potentially paving the way for a public offering to meet its vast capital needs.

Here’s a set of five FAQs inspired by a hypothetical conversation with Sam Altman about life after GPT-5, featuring a casual setting with bread rolls:

FAQs

1. What does Sam Altman envision for the future of AI after GPT-5?

Sam Altman suggests that after GPT-5, AI will move towards more personalized and context-aware interactions. He envisions systems that can better understand individual user needs and preferences, significantly enhancing user experience across various applications.

2. How will advancements in AI impact everyday life according to Altman?

Altman believes that advancements in AI will lead to more seamless integration into daily activities. He discusses how AI could simplify tasks like scheduling, content creation, and even emotional support, making technology feel more like a natural part of life rather than a tool.

3. What ethical considerations does Altman emphasize for future AI developments?

In the conversation, Altman highlights the importance of developing ethical guidelines that prioritize user privacy, security, and transparency. He stresses the need for a collaborative approach involving regulators, developers, and the public to ensure that AI benefits everyone.

4. How does Sam Altman see the role of human creativity evolving with advanced AI?

Altman sees advanced AI as a catalyst for enhancing human creativity rather than replacing it. He emphasizes that AI can assist with brainstorming and generating ideas, allowing humans to focus on the more nuanced aspects of creation and innovation.

5. What role do you think bread rolls play in fostering innovation, as discussed by Altman?

In a light-hearted moment, Altman suggests that sharing simple experiences, like enjoying bread rolls, provides opportunities for open dialogue and collaboration. He believes that these informal moments can spark innovative ideas and strengthen relationships within teams.

Feel free to modify any part for your specific needs!

Source link

Sam Altman Discusses the ‘Bumpy’ Launch of GPT-5, Reintroducing GPT-4, and the ‘Chart Crime’ Controversy

OpenAI’s Sam Altman Addresses GPT-5 Feedback During Reddit AMA

In a recent Reddit AMA, OpenAI CEO Sam Altman and the GPT-5 team faced a flurry of inquiries regarding the new model and received calls to reinstate the previous GPT-4o.

Funniest Blunder: The Infamous “Chart Crime”

One of the light-hearted moments came when Altman was asked about a notable misstep during their presentation, referred to as the “chart crime.”

Revolutionary Features of GPT-5

GPT-5 introduced an innovative real-time router that determines the best model for each prompt, allowing for rapid responses or more thoughtful, slower replies.

User Concerns: Perceived Drop in Performance

Many users expressed dissatisfaction with GPT-5’s performance compared to GPT-4o during the AMA. Altman explained that initial issues with the router compromised the model’s effectiveness upon launch.

Commitment to Improvement

Altman stated, “GPT-5 will appear smarter starting today.” He acknowledged that a technical incident had affected performance and assured users of ongoing adjustments to enhance model selection transparency.

Looking into GPT-4o’s Return

Due to significant user demand, Altman announced that OpenAI is exploring the possibility of allowing Plus subscribers to continue using GPT-4o while gathering data on potential trade-offs.

Increased Rate Limits for Plus Users

To aid user adaptation to GPT-5, Altman revealed plans to double rate limits for Plus users as the rollout progresses, ensuring they can explore the new model without stress over prompt availability.

Addressing the “Chart Crime” Incident

Altman was also queried about the misleading chart presented, which sparked a wave of humorous commentary online. The chart displayed a lower benchmark score with an exaggerated representation, earning the “chart crime” nickname.

OpenAI's GPT-5 chart error
OpenAI’s GPT-5 “chart crime.”
Image Credits:OpenAI

Promises for Future Stability

Although Altman did not specifically address chart-related questions during the AMA, he previously acknowledged the error as a “mega chart screwup” and pointed out that corrected charts were available in the official blog post.

Despite the initial hiccups, Altman assured users of his team’s commitment to stability and responsiveness, concluding the AMA with a pledge to continue addressing feedback and enhancing GPT-5.

Here are five FAQs based on the topics mentioned regarding Sam Altman’s address on the GPT-5 rollout, the return of 4o, and the "chart crime":

FAQ 1: What did Sam Altman say about the GPT-5 rollout?

Answer: Sam Altman acknowledged that the rollout of GPT-5 encountered some challenges, describing it as “bumpy.” He emphasized the importance of learning from these issues to improve future releases and enhance user experience.

FAQ 2: Why was GPT-4o brought back?

Answer: The decision to bring back GPT-4o was made in response to feedback from users who found it more stable and reliable compared to GPT-5. Altman noted that while progress is essential, ensuring user satisfaction is a top priority.

FAQ 3: What is the "chart crime" that Sam Altman referred to?

Answer: The "chart crime" refers to specific data visualization errors that arose during the rollout of GPT-5. Altman pointed out that these inaccuracies could mislead users and emphasized the organization’s commitment to accuracy and reliability in all outputs.

FAQ 4: How does Sam Altman plan to address the issues with GPT-5?

Answer: Altman mentioned plans to gather user feedback actively and implement iterative improvements. He indicated that the team is focused on addressing the technical glitches and usability issues that arose during the initial rollout.

FAQ 5: What can users expect in future updates following Altman’s comments?

Answer: Users can expect ongoing improvements based on feedback, enhancements aimed at stability, increased reliability in data presentation, and better overall user experience as the development team learns from the current rollout.

Source link

Windsurf CEO Discusses the ‘Very Bleak’ Atmosphere Prior to the Cognition Deal

Windsurf Acquired by Cognition: A Tale of Transition and Turmoil

Following the acquisition of AI coding startup Windsurf by Cognition, executive Jeff Wang took to X to shed light on the challenges surrounding the deal.

Failed Talks with OpenAI Opened New Doors

Windsurf was initially in acquisition talks with OpenAI, but that deal collapsed. Instead, Google DeepMind hired CEO Varun Mohan and other key personnel from Windsurf. Reports indicate Google will license Windsurf’s technology for $2.4 billion but will not acquire the company outright.

The Rise of “Reverse Acquihires”

This incident highlights a growing trend of “reverse acquihires,” where major tech firms hire key members from startups to mitigate antitrust concerns while licensing their technologies rather than executing full acquisitions.

Impact on Employees Left Behind

This raises a critical question: What happens to the startups and their employees once top talent departs? In a recent episode of Equity, a founder likened leaving executives to a captain abandoning ship in turbulent waters.

Windsurf’s Leadership Step Up Amidst Uncertainty

After Mohan’s exit, Wang, previously the head of business, took over as interim CEO. He expressed sympathy for Mohan and Chen, recognizing the difficulty of their situation.

All-Hands Meeting Reveals Employee Sentiments

During a company-wide meeting on June 11, expectations were high for news about the OpenAI deal. Instead, Wang had to share the disappointing Google acquisition and the departure of key figures. “The mood was very bleak,” he reflected. “Some were upset about financial outcomes, while others were anxious about the future; a few were in tears.”

Potential for Recovery

Despite setbacks, Wang believes Windsurf still has significant assets, including intellectual property and talented personnel, to pursue further investment, a sale, or continuing operations.

Negotiations with Cognition Begin

That same evening, Wang was in discussions with Cognition’s Scott Wu and Russell Kaplan. Following a frantic weekend of negotiations, they kept interest from other potential suitors in mind while also addressing the needs of Windsurf’s remaining engineers.

A Strategic Fit for Future Growth

Wang argued that Cognition and Windsurf make a great partnership due to complementary strengths. “Cognition had overinvested in engineering but underinvested in go-to-market and marketing,” he explained, adding that Windsurf possesses world-class talent in these areas.

Commitments to Employee Welfare

Wang noted a focus on ensuring the welfare of Windsurf’s employees was paramount during negotiations, resulting in a deal structure that includes payouts for all staff, the waiving of cliffs, and accelerated vesting for Windsurf equity.

A Rollercoaster Weekend: From Fear to Hope

The acquisition agreement was finalized at 9:30 AM on Monday, announced to the team shortly after, and disclosed to the public not long thereafter. In an interview with Bloomberg, Wang described the tumultuous Friday as “probably the worst day of 250 people’s lives,” followed by what felt like “probably the best day.”

Here are five FAQs with answers based on the scenario involving a Windsurf CEO discussing the mood before the Cognition deal:

FAQ 1: What prompted the CEO to describe the mood as "very bleak" before the Cognition deal?

Answer: The CEO felt the mood was "very bleak" due to a combination of challenging market conditions, declining sales, and a lack of innovative product development, which put pressure on the company’s performance and future growth.

FAQ 2: What was the significance of the Cognition deal for Windsurf?

Answer: The Cognition deal was significant because it represented a strategic partnership that could revitalize Windsurf’s product line, drive innovation, and improve market positioning, ultimately paving the way for recovery and growth.

FAQ 3: How did the CEO feel about the future after the Cognition deal was finalized?

Answer: After finalizing the Cognition deal, the CEO expressed optimism about the future. They believed the partnership would bring new resources, innovative ideas, and a renewed sense of direction for the company.

FAQ 4: What steps is Windsurf taking post-deal to improve its market outlook?

Answer: Windsurf is focusing on integrating Cognition’s capabilities, investing in research and development, and enhancing marketing strategies to better engage consumers and expand its market presence.

FAQ 5: How does the CEO plan to address the "bleak" mood among employees following the deal?

Answer: To address the mood among employees, the CEO plans to enhance internal communication, provide updates on progress and improvements, and foster a culture of openness and collaboration to rebuild morale and encourage a collective focus on future goals.

Source link