🤖 OpenAI’s New AI Coworkers

In partnership with

✨ Welcome back, Entrepreneurs

We’re live from VivEvent 2026 where founders are taking AI products from concept to production. OpenAI is scaling enterprise AI coworkers through major consulting alliances. Interpretable models are redefining trust in LLMs. Healthcare AI is compressing months of research into minutes.

📹️ Live from VivEvent 2026

We’re on the ground at VivEvent 2026 this week, alongside founders, operators, and AI builders taking products from concept to production this week.​

🤝 OpenAI launches Frontier Alliances to scale enterprise AI coworkers

OpenAI introduced Frontier Alliances, collaborating with McKinsey, BCG, Accenture, and Capgemini to help businesses implement its AI platform, Frontier. These partners will provide strategy, integration, workflow redesign, and change-management support, working with OpenAI's engineers to integrate AI agents into essential processes.

Highlights

• Multi‑year alliances with McKinsey, BCG, Accenture, and Capgemini

• Partners redesign workflows, integrate systems, and drive adoption

• Frontier coworkers automate end‑to‑end enterprise tasks

• Dedicated partner practice groups certified on OpenAI tech

• Joint delivery with OpenAI’s Forward Deployed Engineering teams

Why it matters

Frontier Alliances offer enterprises a comprehensive strategy for implementing AI coworkers at scale, boosting transformation and workflow impact across industries.

Meet America’s Newest $1B Unicorn

A US startup just hit a $1 billion private valuation, joining billion-dollar private companies like SpaceX, OpenAI, and ByteDance. Unlike those other unicorns, you can invest.

Over 40,000 people already have. So have industry giants like General Motors and POSCO.

Why all the interest? EnergyX’s patented tech can recover up to 3X more lithium than traditional methods. That's a big deal, as demand for lithium is expected to 5X current production levels by 2040. Today, they’re moving toward commercial production, tapping into 100,000+ acres of lithium deposits in Chile, a potential $1.1B annual revenue opportunity at projected market prices.

Right now, you can invest at this pivotal growth stage for $11/share. But only through February 26. Become an early-stage EnergyX shareholder before the deadline.

Invest in EnergyX Today

_{This is a paid advertisement for EnergyX Regulation A offering. Please read the offering circular at invest.energyx.com. Under Regulation A, a company may change its share price by up to 20% without requalifying the offering with the Securities and Exchange Commission.}

🔥Big AI moves

🔹Ex‑Apple team launches Acme Weather, a new multi‑model forecasting app

The creators of Dark Sky launched Acme Weather, a $25‑per‑year app offering reliable forecasts by combining weather models, satellite data, radar, and ground observations. It includes alternate prediction lines, custom maps, community reports, and experimental alerts like rainbow and sunset predictions for clearer insights into forecast uncertainties.

🔹Chinese labs ran industrial‑scale attacks to copy Claude, says Anthropic

DeepSeek, Moonshot AI, and MiniMax allegedly created 24,000 fake accounts to generate 16 million Claude interactions, extracting its strengths. Anthropic traced this via IP data, warning of misuse. The claims sparked backlash over U.S. data practices, with Elon Musk mocking the irony. The accused labs have not responded.

🔹Anthropic finds most AI‑fluent users iterate, question, and refine, new report shows

Anthropic's analysis of 9,830 Claude conversations revealed that longer chats exhibit over twice the AI-fluency behaviors, such as questioning reasoning and identifying missing context, compared to brief exchanges. However, when users create artifacts like code or documents, they become more directive and less evaluative, with reduced fact-checking and context-seeking.

How Marketers Are Scaling With AI in 2026

61% of marketers say this is the biggest marketing shift in decades.

Get the data and trends shaping growth in 2026 with this groundbreaking state of marketing report.

Inside you’ll discover:

• Results from over 1,500 marketers centered around results, goals and priorities in the age of AI

• Stand out content and growth trends in a world full of noise

• How to scale with AI without losing humanity

• Where to invest for the best return in 2026

Download your 2026 state of marketing report today.

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🧠 AIHealthTech Insider: AI crunches pregnancy and gut data in minutes, not months

UCSF and Wayne State researchers used generative models to analyze pregnancy and microbiome data, creating prediction pipelines that matched or outperformed human teams, reducing weeks of coding to minutes.

This issue showcases advancements in research and early detection through metabolic risk models, exercise-driven brain pathways, physician-developed AI tools, slide-level cancer diagnostics, and lifelong AI doctor platforms.

🧠 Guide Labs releases Steerling‑8B, an inherently interpretable 8B‑parameter model

Guide Labs launched Steerling‑8B, an open‑source LLM with a unique architecture that traces each generated token to its input, concepts, and training data. Trained on 1.35T tokens, it matches the performance of more compute-intensive models and enables concept‑level control, provenance tracking, and inference‑time alignment without retraining.

Highlights

• First 8B model with full token‑level attribution

• Traces outputs to prompt, concepts, and training data

• 1.35T‑token training with efficiency rivaling larger models

• Concept steering and suppression at inference time

Why it matters

Steerling‑8B demonstrates that model architecture can be designed for interpretability, allowing for safer, controllable, and auditable LLMs in regulated industries, scientific research, and workflows needing transparent reasoning.

🍌 Create instant ad mockups with Nano Banana

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✨ From still shots to full ad campaigns, Nano Banana turns your ideas into brand-ready visuals in a click.

⚙️ Sunday Special: $10 agents, cooling jobs, and Claude’s 14.5‑hour coding run

This issue examines how ultra-cheap local agents, evolving labor signals, and long-form coding models are transforming the builder landscape by shifting leverage from centralized cloud computing to personal hardware, traditional hiring to skill portability, and slow engineering cycles to models with sustained real-world reasoning.

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