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This isn’t about making AI sound smarter. It’s about making it more useful.

On the plane were Elon Musk (Tesla and SpaceX), Tim Cook (Apple) and Jensen Huang (Nvidia) — three figures whose decisions directly impact the technology war between the United States and China. Also traveling were Dina Powell McCormick (Meta), Jane Fraser (Citigroup), David Solomon (Goldman Sachs), Larry Culp (GE Aerospace), Sanjay Mehrotra (Micron Technology), Cristiano Amon (Qualcomm) and Brian Sikes (Cargill), among others.

For the first time, the US government is stepping in before some of those models are publicly released.

There are concrete answers — some official, some leaked — and it's worth separating the two.

On April 28, 2026, NVIDIA presented Nemotron 3 Nano Omni — an open-source artificial intelligence model that solves this problem at its root. Instead of chaining several models together, Nemotron 3 Nano Omni unifies text, vision, images and audio into a single reasoning system. One model that sees, hears and reads simultaneously.

The premise is concrete: build real products using Anthropic's AI models — that is, Claude — in a single day, with direct mentoring from Kaszek, Anthropic and Digital House teams. Every registered participant will receive Anthropic API credits to use during the event at no cost.

Hallucinations — the tendency of language models to present false information with complete confidence — remain the primary trust barrier in enterprise AI adoption. In 2026, with ChatGPT (GPT-5.4) and Claude (Sonnet 4.6 and Opus 4.6) competing at the same price points and capability levels, the real difference between them is no longer about what each can do. It's about how badly each fails when it gets things wrong.

The initiative reflects the company’s strategy to strengthen the infrastructure behind its digital ecosystem, which includes Facebook, Instagram, WhatsApp, and its growing portfolio of AI-powered services.

That matters because the AI market is changing. For a while, the focus was on flashy demos and eye-catching prompts. Now the real battle is moving toward reliability, workflow integration and usefulness at scale. OpenAI’s pitch with GPT-5.4 reflects that shift. The company is emphasizing better reasoning, stronger coding, lower error rates, deeper tool use and more practical performance across real-world work products.

The way people apply for jobs has changed dramatically. Digital platforms, remote work, and automated recruitment systems are now standard across many industries. In most hiring processes, résumés are first scanned by software before reaching a human recruiter.