Stay updated with the latest in AI models. Here are the top picks for today, curated and summarized by HappyMonkey AI.
Holo3.1: Fast & Local Computer Use Agents
Holo3.1: Fast & Local Computer Use Agents +27 Last March, we released Holo3, our state-of-the-art computer-use model.. Developers, enterprises, and partners started deploying Holo3 across a wide range of workflows, from browser automation and business software to internal…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
New usage analytics and updated spend controls for enterprises
June 18, 2026 New usage analytics and updated spend controls for enterprises New usage analytics and updated spend controls give ChatGPT Enterprise admins more visibility, control, and confidence in their AI deployments.. As AI becomes part of everyday work, organizations…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
How we used Gemini to build Google I/O 2026
How we used Gemini to build Google I/O 2026 Jun 01, 2026 From the jellyfish pre-show to our “TPU Training Day” film, see how Gemini helped make I/O happen this year.. Your browser does not support the audio element.. Google I/O 2026 was all about how we’re making AI helpful…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
Transitioning as a Hubber
Share: When I joined GitHub, my legal name was Ursula—but my handle was gleeblezoid.. Now, as Arthur, I’m still gleeblezoid.. Since our remote-first culture primarily uses handles, transitioning at GitHub was easier than it would have been earlier in my career.. I previously…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
OlmoEarth v1.1: A more efficient family of Earth observation models
OlmoEarth v1.1: A more efficient family of Earth observation models +18 🧠 Models: https://huggingface.co/collections/allenai/olmoearth | 📄 Tech Report: https://allenai.org/papers/olmoearth_v1_1 | 💻 Code: https://github.com/allenai/olmoearth_pretrain We released OlmoEarth (v1)…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
How Endava is redesigning software delivery around AI agents
June 4, 2026 How Endava is redesigning software delivery around AI agents By making AI part of daily work, Endava is accelerating delivery and reshaping enterprise workflows.. Endava is a global technology services company that has spent more than 25 years helping enterprises…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
New research shows how AMIE, our medical AI, could help manage health conditions.
Giving a diagnosis is the first step in treating a patient.. Once a diagnosis is established, the challenge becomes managing a health condition over time — tracking symptoms across multiple appointments, parsing guidelines as they’re updated and fine-tuning medications…..
Why it matters: Potentially relevant AI tooling update — review for integration potential.
What are git worktrees, and why should I use them?
Share: It seems like the latest hotness in git these days is the concept of worktrees.. Which… is kind of funny because they’ve been around since 2015.. But, nevertheless, they are cool, and you might be wondering why you’d use them, how they differ from branches, and why…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
New ways to create and get things done in Google Workspace
New ways to create and get things done in Google Workspace May 19, 2026 Announcing conversational voice features in Gmail, Docs and Keep, an image creation and editing tool called Google Pics, updates to AI Inbox and a 24/7 personal AI agent called Gemini Spark.. Your browser…
Why it matters: Potentially relevant AI tooling update — review for integration potential.
Granite 4.1 LLMs: How They’re Built
Granite 4.1 LLMs: How They’re Built +77 An in-depth technical walkthrough of data engineering, pre-training, supervised fine-tuning, and reinforcement learning behind the Granite 4.1 LLMs.. Authors: Granite Team, IBM TL;DR — Granite 4.1 is a family of dense, decoder‑only LLMs…
Why it matters: Potentially relevant AI tooling update — review for integration potential.