OpenAI just launched its most powerful open models yet

Today, we’re going to talk about the launch of North by Cohere an AI agent platform built for enterprises that actually care about data privacy. We’ll also dig into Meta’s wild new infrastructure play and OpenAI’s most powerful open models yet.

In today’s post:

• Cohere’s North brings private AI agents to your firewall

• Meta is building a 5GW data center to power superintelligence

• OpenAI’s GPT-OSS 120B: open weights, near GPT-4 performance

• Trending AI tools + AI resource for growth and automation

What’s Trending Today

Breakthrough

gpt-oss-120b might be the closest thing to GPT-4 you can run yourself

OpenAI just released gpt-oss-120b and gpt-oss-20b two open-weight models that push the boundaries of what’s possible outside the API.

Here's everything you need to know:

• gpt-oss-120b runs near GPT-4-mini levels of reasoning on a single 80GB GPU.

• gpt-oss-20b rivals o3-mini and runs locally with just 16GB of RAM.

• Both models support few-shot tool use, chain-of-thought reasoning, and structured outputs.

• Evaluations show they outperform or match closed models across coding, math, and health tasks.

• Released under Apache 2.0, they’re designed for full customization and edge deployment.

• A new tokenizer, harmony format, and inference tools are open-sourced to support developers.

• Safety measures include adversarial fine-tuning and external review under OpenAI's Preparedness Framework.

Here’s what I think:

This release sets a new bar for what open models can do and how responsibly they can be released. If you're a developer, researcher, or just curious about where AI is headed, gpt-oss is worth a deep dive. It’s not just open; it’s state-of-the-art.

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Strategy

Mark Zuckerberg is building the biggest AI cluster the world has ever seen

Meta just unveiled its most ambitious AI move yet: two data centers Prometheus and Hyperion designed to power artificial superintelligence.

Here's what you need to know:

• Prometheus will be the world’s first 1GW AI supercluster, launching in 2026.

• Hyperion will scale to 5GW, making it the largest AI infrastructure project in history.

• Meta is reportedly spending $30B per gigawatt, betting hundreds of billions on compute.

• These clusters will support Meta’s Llama models and future AGI-scale systems.

• Meta has hired top talent from OpenAI, Google DeepMind, Anthropic, and Scale AI.

• The $14.3B acquisition of Scale AI will improve data quality across Meta's stack.

• Zuckerberg says Meta will have more compute per researcher than any other lab.

This isn’t just a moonshot. It’s an arms race. Meta’s full-stack approach from chips to models to talent signals a serious push toward AGI dominance. Whether they get there first or not, they’re changing the scale of the game.

Launch

Cohere launches North: Private AI agents for the enterprise

Cohere just launched North—an enterprise AI agent platform that runs where your data lives, not in the cloud. It’s built from the ground up for privacy-first deployments.

Here's everything you need to know:

• North is designed for private, secure environments: it can run on-prem, in hybrid clouds, or in air-gapped setups—even on just two GPUs.

• Unlike most platforms, North never routes enterprise data through public clouds like AWS or Azure.

• It offers enterprise-grade protections: fine-grained access control, agent autonomy policies, red-teaming, and third-party security audits.

• North meets top global compliance standards, including GDPR, SOC-2, and ISO 27001.

• Its core tools include chat and search with citation-backed answers, document and asset generation, and advanced market research features.

• These are powered by Cohere’s latest models: Command (for generation) and Compass (for search), tuned specifically for enterprise reasoning.

• North integrates with everyday enterprise tools like Slack, Salesforce, Outlook, Gmail, and Linear, plus any Model Context Protocol (MCP) server.

• As users interact with North, it transitions from augmentation (helping with tasks) to automation (handling full workflows).

• The platform also benefits from Cohere's recent acquisition of Ottogrid, a company focused on automating market analysis.

• Early adopters include RBC, Dell, LG, Ensemble Health, and Palantir organizations where data sensitivity is critical.

North represents a shift in how enterprises adopt AI. It’s not about flashy features it’s about trust, control, and compliance. Cohere is making a compelling case that AI doesn’t have to mean handing over your most valuable data. For sectors where privacy isn't optional, this is a big deal.

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