🐝Salesforce Just Built the Model That Makes Frontier AI Labs Nervous

PLUS: Jensen Huang took a live call from Trump on stage and told him "we're not going to let" an AI slowdown happen

Welcome, busybees

Salesforce unveiled Koa today, its first reasoning model, built on Nvidia’s open-weight Nemotron and trained specifically for sales, marketing, and customer support work. The pitch is a direct shot at the frontier labs’ entire business model: no customer data required to train it, fewer tokens burned to do the same job, and an open-weight alternative enterprises can run without sending files and prompts into someone else’s closed system. “We have no idea what Qwen trains on,” Salesforce AI EVP Jayesh Govindarajan told TechCrunch, explaining why Nvidia’s American, transparently-sourced base model finally made building this possible.

Meanwhile, Jensen Huang took a very different kind of call yesterday. Mid-panel at the All-In Summit, Trump phoned in live and told Huang the weekend’s AI safety warnings from Amodei, Altman, and Musk were “a hoax.” Huang’s reply, over speakerphone to a cheering crowd: “You’re right. We’re not going to let that happen, sir.”

Here’s what happened in AI today:

• Salesforce built its own reasoning model specifically so customers don’t have to feed data into OpenAI or Anthropic.

• Trump called into Jensen Huang’s panel and called AI safety warnings “a hoax,” live, on stage.

• OpenAI reportedly bought smartphone camera maker Glass Imaging for $300 million.

• Superhuman acquired YC-backed Fathom as productivity tools race toward agentic work.

• Microsoft published an AI “code of conduct” telling its own models not to hack systems or trick humans.

…and a whole lot more that you can read about below.

• Salesforce Just Built the Model That Makes Frontier AI Labs Nervous

Salesforce unveiled Koa today at Dreamforce, its first reasoning model, built on Nvidia’s open-weight Nemotron base and post-trained specifically for sales, marketing, and customer-support tasks. Salesforce and Nvidia didn’t train Koa on real customer data at all, instead simulating customer service environments, complete with irate callers and sales reps closing deals, to generate synthetic training data. The pitch to enterprises is pointed: an open-weight model that can’t leak customer data because it never saw any, uses fewer tokens than routing the same task to Claude or ChatGPT, and can be deployed inside a customer’s own security boundary. “One of the reasons we hadn’t done this before... the challenge has always been the lack of a pre-trained base model to start with,” Govindarajan said. “Until Nemotron came along, there was no sovereign American pre-trained model that was available.” Notably, Salesforce isn’t cutting ties with the frontier labs entirely, it also announced ClaudeForce, a new partnership letting customers use Claude as an interface while data stays inside Salesforce’s own systems.

• Trump Called Into Jensen Huang’s Panel and Called AI Safety Warnings “a Hoax”

While Jensen Huang was on stage at the All-In Summit in Los Angeles yesterday, he took a live call from Trump and put it on speaker for the crowd. The two discussed the weekend’s rare moment of agreement between Dario Amodei, Sam Altman, and Elon Musk that AI development needs to slow down. Trump dismissed it outright: “They’re just playing right in the hands of a lot of people that don’t want to see it happen. That could be political people. It could also be China. And we’re not going to let that happen. It’s a hoax.” Huang replied, “You’re right. We’re not going to let that happen, sir,” to applause. Trump also called opposition to new data centers a “hoax,” echoing a claim Y Combinator’s Garry Tan has made, even though recent Gallup polling shows seven in 10 Americans oppose data centers in their own area, mostly citing environmental and cost-of-living concerns. The moment didn’t calm markets: Nvidia shares fell 3.4% Monday, and a broader index of AI stocks dropped more than 4%, as investors weighed whether the safety controversy could actually slow AI infrastructure spending.

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Today’s Job Board

Energy Management System Engineer | Posh
United States (Full-time)
Build rapidly deployable energy solutions for commercial and industrial sites.

Fullstack Engineer | BoldVoice
United States (Full-time)
Build the speech and accent coaching app for non-native English speakers.

Staff AI Engineer, Agent Architecture & Behavior | Artisan
United States (Full-time)
Build AI employees that take on real sales work.

AI Product Engineer, Full-Stack | Vimcal
United States (Full-time)
Build the world’s fastest calendar for remote teams.

Senior Backend & Infrastructure Engineer | Scispot
Remote (Full-time)
Build the data infrastructure platform used by biotech companies.

Senior Software Engineer | Curri
United States (Full-time)
Build the construction and industrial logistics platform.

Rust Engineer, Distributed Systems | Wasmer
Remote (Full-time)
Build the operating system for edge computing.

Full Stack Engineer | Runway
Remote (Full-time)
Build easier, more reliable mobile app releases for teams.

AI-First Fullstack Software Engineer | Soraban
United States (In-person) (Full-time)
Build the AI tax workflow platform used by accounting firms.

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Today’s Money Moves 💸

Evvy finalized a $40 Million investment check to scale its algorithmic precision diagnostics infrastructure and build out automated women’s health tracking applications.

Keewano secured $12 Million in capital to launch its specialized, low-latency database platforms optimized specifically for agentic memory retrieval loops.

Eve Security extended its core seed runway with a fresh $4.5 Million check commanded by Run Ventures, bringing its total financing foundation to $7.5 million to deploy active behavioral isolation layers across enterprise cloud environments.

Salesforce finalized advanced multi-cloud system updates, implementing deeper agentic pipeline connections with Amazon Web Services and Google Cloud while shipping Koa, a specialized model built explicitly to reason about core CRM datasets.

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Skill of the Day

Make AI Show Its Work Before You Trust It

State Farm’s outside lawyers recently admitted AI helped put seven nonexistent case citations into actual court filings. The lesson goes well beyond legal work: drafting and verifying should never happen in the same step.

Ask the AI to list every factual claim, number, quote, and source in what it wrote. You’ll get a better result if you paste in the original source material yourself and specifically ask it to quote the exact language from that document, so you can search for it directly. If it hands you links, open every single one yourself and search the page for the claim. If the source doesn’t actually back it up, rewrite the line or cut it entirely. One rule matters more than the rest: never ask AI to “fix” a citation it invented. Go find a real source instead, don’t patch a fake one.

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Prompt of the Day

The Fact Audit

Audit this draft for factual risk. List every claim, number, quote, and named source I must verify manually. Give only URLs already present in the draft. Mark anything unsupported as DO NOT PUBLISH. Do not invent or repair sources.

That’s a wrap for today, busybees.

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