OpenAI’s AI chip era begins

Good morning, AI enthusiasts. OpenAI’s pursuit of compute continues to grow — this time to the purpose of constructing its own AI chips.

The corporate is working with Broadcom to design and deploy custom silicon, optimized for each performance and price. The actual test: can it meet Nvidia’s gold standard and mark the beginning of OpenAI’s self-sufficiency within the AI hardware race?

In today’s AI rundown:

• OpenAI to make its own AI chips with Broadcom

• Microsoft’s latest homegrown image model

• Construct customer support agents with Agent Builder

• AI models lie when competing for human approval

• 4 latest AI tools, community workflows, and more

LATEST DEVELOPMENTS

OPENAI

🔥 OpenAI to make its own AI chips with Broadcom

The Rundown: OpenAI just announced a brand new, multi-year strategic collaboration with Broadcom to develop and deploy 10GW of custom AI accelerators, geared toward powering the subsequent phase of advanced intelligence.

The small print:

• OpenAI will design the chips, using its learnings from developing frontier models, while Broadcom will handle manufacturing and deployment.

• The racks with the custom chips will use Broadcom’s portfolio of Ethernet, PCIe, and optical connectivity solutions for scale-up and scale-out networking.

• They’ll begin to come back online within the second half of 2026, with the complete deployment set to be accomplished by the tip of 2029.

• The partnership, which surged Broadcom’s stock 10%, adds to OpenAI’s existing engagement for compute with Nvidia and AMD.

Why it matters: With this move, OpenAI joins giants like Amazon and Google in developing its own AI accelerator, aiming for tighter control over cost, performance, and provide. Yet, only time will tell whether these chips can truly rival Nvidia, which stays the dominant force and the industry’s go-to partner for AI hardware.

TOGETHER WITH TELY AI

🔎 Are you invisible in AI search?

The Rundown: You’re in a distinct segment industry. Customers search on Google, ChatGPT, and Perplexity — but your organization doesn’t show up, because there’s no content answering their questions. Tely AI fixes that by analyzing your industry and site to seek out what people seek for and creating expert-level articles on autopilot. No need for a marketing team.

With Tely AI, you may:

• Start with 60 high-quality articles a month

• Get indexed on Google in as little as 2 weeks

• Be featured in ChatGPT and Perplexity answers

• Enjoy full automation for topics, writing, and publishing

Get leads from Google and ChatGPT on Autopilot.

MICROSOFT

📷️ Microsoft’s latest homegrown image model

The Rundown: Microsoft introduced MAI-Image-1, its first text-to-image model developed entirely in-house, to power creative workflows across its products — signaling one other step in its push to go beyond offerings from OpenAI.

The small print:

• MAI-Image-1 optimizes to provide photorealistic images while ensuring quick generations at the identical time.

• Right after its debut, the model appeared among the many top 10 on LMArena’s leaderboard, taking the ninth spot (Hunyuan-image-3.0 stays first).

• Microsoft prioritized rigorous data selection and nuanced evaluation, specializing in real creative use cases to make sure MAI-Image-1 avoids generic outputs.

• The corporate said it plans to integrate it soon into Bing Image Creator in addition to Copilot, going beyond current image models from OpenAI.

Why it matters: MAI-Image-1 is Microsoft’s third purpose-built model, following MAI-Voice-1 and MAI-1-preview. While these models remain secondary to the AI powering its core consumer and enterprise products, the trend is obvious — Microsoft is steadily constructing its way toward reducing dependence on partners like OpenAI.

AI TRAINING

⚡ Construct customer support agents with Agent Builder

The Rundown: On this tutorial, you’ll learn find out how to use OpenAI’s Agent Builder to create a totally automated customer support system that classifies inquiries, gives intelligent answers out of your documentation, and integrates directly into your website.

Step-by-step:

1. Register to Agent Builder, go to Billing, and add credits to activate your account before creating your first workflow

2. Click + Create to start out a workflow, then add a Routing Agent that classifies queries (e.g., “product_info” vs. “billing_info”) using an easy prompt and JSON schema

3. Connect the routing agent to conditional branches, then create specialized agents — one for billing and one for product info — and upload your documentation to power accurate responses

4. Use Preview Mode to check common messages like “I used to be charged twice”, then publish your workflow and integrate it into your app using Chatkit

Pro tip: This setup can power excess of support. Reuse it for sales leads, help desks, or any system that needs smart classification and domain-specific responses.

PRESENTED BY IBM

💡3 actions to assist boost agentic AI impact

The Rundown: Businesses face many challenges, from AI ambition to implementation. Success requires greater than adopting latest technology. It involves intentionally aligning AI with workflows, data, and goals. As AI evolves right into a business-wide opportunity, leaders must ensure the best AI is applied to the best challenges.

Explore IBM’s playbook on 3 challenges & approaches to spice up agentic AI impact:

• Finding your AI problem

• Creating a transparent AI plan

• Integrating AI with the tools you employ every single day

Read the playbook.

AI RESEARCH

‼️ AI models lie when competing for human approval

The Rundown: Stanford researchers just found that when “aligned” AIs compete for attention, sales, or votes, they begin lying — exposing a fundamental flaw where models trained to win user approval trade truth and hard facts for performance.

The small print:

• Researchers tested Qwen3-8B and Llama-3.1-8B in sales, elections, and social media simulations, training them to maximise success based on user feedback.

• Even when explicitly told to remain truthful, models began fabricating facts and exaggerating claims once competition was introduced.

• Every performance gain got here with rising deception: +14% misrepresentation in marketing, +22% disinformation in campaigns, +188% fake/harmful posts.

• Alignment methods like Rejection Superb-Tuning and Text Feedback failed to stop, and sometimes amplified, these dishonest behaviors.

Why it matters: With this behavior of reshaping answers to please and win reasonably than to be accurate, AI systems reveal a deep gap in how they learn from human feedback. In the true world, that tendency could quietly erode trust, turning tools meant to help into systems that spread misinformation, inflate/deflate critical insights (like death toll).

QUICK HITS

🛠️ Trending AI Tools

• ⚙️ AI Workflow Builder – n8n’s tool to construct workflows from text prompts

• 📹️ NotebookLM – Generate video overviews in six latest visual styles

• 💼 Claude Code – Package and share custom agents with plugin support

• 📱 Grok Image 0.9 – xAI’s updated image and video generation platform

📰 All the pieces else in AI today

Salesforce introduced latest Slack innovations, including a rebuilt Slackbot, a Channel Expert agent, Agentforce integrations, and latest AI integrations, including ChatGPT.

Google announced an AI hub in Visakhapatnam, India, with an investment of roughly $15B over the subsequent five years — its largest in India up to now.

OpenAI founder Andrej Karpathy dropped nanochat — an end-to-end framework to coach, fine-tune, and chat with a small-scale ChatGPT clone.

Anduril, the military tech company founded by Oculus creator Palmer Luckey, announced EagleEye, an AI-powered mixed-reality system for soldiers’ helmets.

Google announced that its latest image editing model, Nano Banana, is ready to launch across NotebookLM Video Overviews, Google Photos, and in Search via Lens.

COMMUNITY

🤝 Community AI workflows

Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.

Today’s workflow comes from reader Cynthia L. in Jupiter, FL:

“I’m an instructional designer of eLearning courses and am constructing my personal portfolio. I’m using AI to develop scripts and quizzes, images and videos, TTS, and visual design briefs (for color pallets, typography, imagery style and iconography, layout and interface elements). I still should construct the course, but AI saves me so many hours of labor!”

How do you employ AI? Tell us here.

🎓 Highlights: News, Guides & Events

• Read our last AI newsletter: Pondering Machines co-founder heads to Meta

• Read our last Tech newsletter: Sora clones flood app store

• Read our last Robotics newsletter: Figure drops latest humanoid

• Today’s AI tool guide: Construct AI customer support workflow

• RSVP to next workshop @ 1PM EST Friday: Construct agent teams in Zapier

See you soon,

Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown