Automation.
13.08.25
Welcome to the latest edition of The Neural Link!
It’s been a busy month in the world of AI model development and the pace isn’t slowing. From open-source breakthroughs to flagship releases, major players across the globe have unveiled their latest models. Here’s a roundup of the most significant launches shaping the future of generative AI.
Model |
Company |
Type |
Notable Features |
OpenAI |
Flagship general-purpose model |
Released to all ChatGPT users; faster, smarter, "PhD-level" reasoning capabilities |
|
|
Open-source AI agent (command-line tool) |
Enables developers to interact with AI models via the command line. Built to simplify building and testing AI workflows and agents locally. |
|
Moonshot AI |
Open-source LLM (1T params) |
Strong coding and agentic abilities; aims to reclaim domestic market edge |
|
Zhipu |
Open-source "agent-native" LLM |
Reasoning, coding, autonomous tool use; positioned as low-cost alternative |
|
Alibaba |
Open-source coding model |
Outperforms domestic rivals; rivals Claude and GPT-4 in coding tasks |
|
Mistral |
Open-weight audio model |
Transcribes 30–40 min audio; low-cost and locally deployable |
|
OpenAI |
Open-weight reasoning models |
Freely downloadable; run on modest hardware; first open-weight models since GPT-2 |
|
xAI |
General-purpose LLM |
Solves complex tasks with agent-like tool use; includes heavy mode for tough problems |
Want to go from theory to action? Learn about AI agents in your workplace.
Join our upcoming webinar on Copilot Agents to explore how Microsoft’s latest tools will reshape workflows, from automation to decision-making. We’ll break down real-world use cases, architecture, and how to build your first agent.
While tools like Copilot Agents are transforming the way we work, the broader AI landscape is evolving just as fast.
Here are the key stories shaping AI across business, policy, and innovation this month.
OpenAI introduced a general-purpose ChatGPT agent that can autonomously navigate apps, browse websites, and execute code on users’ behalf. Rolling out to paid subscribers, this Agent mode marks OpenAI’s boldest step toward AI that “takes actions” for users, not just chats.
President Trump issued a sweeping AI Action Plan along with multiple executive orders aiming to spur innovation on U.S. terms. The agenda favors letting AI firms “make their own rulebook” and bans “woke” AI in federal use, but critics warn the ideological bent could constrain development and speech.
Stanford researchers built an AI-powered virtual lab with an “AI principal investigator” and several agent collaborators (immunologist, ML expert, critic, etc.) that brainstorm and experiment together. In a test, the AI team devised a novel nanobody-based COVID vaccine concept within days, going beyond prior human ideas – hinting at a future where AI agents accelerate scientific discovery.
Google DeepMind introduced AlphaEarth Foundations, an AI model that fuses satellite imagery, radar and climate data to map Earth’s ecosystems in unprecedented detail. Scientists say this “virtual satellite” model will help identify uncharted habitats and focus conservation efforts.
A Menlo Ventures report finds Anthropic’s AI models now hold 32% of enterprise LLM usage, vs. OpenAI’s 25%, marking a rapid reversal since 2023. Claude models are especially dominant in coding tasks, doubling OpenAI’s share in that domain.
That’s a wrap on this month’s AI update. The landscape’s shifting fast and so are the possibilities.
We’ll be back soon with more.
Matt Dunn
Head of AI & Automation
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Author
AI is changing the way businesses operate, and as Head of AI & Automation at The Missing Link, I help organisations harness its full potential. With a background in commercial consulting and intelligent automation, I’ve guided companies in streamlining operations, reducing inefficiencies, and embracing AI-driven innovation. Before joining The Missing Link, I led an automation start-up to profitability and have since trained over 2,000 professionals in generative AI, including Microsoft Copilot and ChatGPT. I’ve also authored books on prompt engineering. When I’m not exploring AI’s capabilities, you’ll find me enjoying yoga, golf, or making my daughters laugh.