OpenAI claims gold on math olympiad

Good morning, AI enthusiasts. OpenAI just claimed one in all the longstanding grand challenges in AI: gold-level performance with an experimental LLM on the International Math Olympiad (IMO) 2025.

While questions remain over OpenAI’s grading, progress on the IMO does indicate one other step toward mathematical superintelligence — the type which may at some point solve problems humans haven’t yet cracked.

In today’s AI rundown:

• OpenAI’s gold-level math performance

• ARC’s latest interactive AGI test

• Construct your individual AI content writing assistant

• AI models fall for human psychological tricks

• 4 latest AI tools & 4 job opportunities

LATEST DEVELOPMENTS

OPENAI

🥇 OpenAI’s gold-level math performance

The Rundown: OpenAI just claimed gold-level performance in an evaluation modeled after the 2025 International Math Olympiad, testing its “experimental general reasoning LLM” on the identical problem statements utilized in the human competition.

The main points:

• The LLM was tested under the identical rules as humans, writing natural language proofs to problems across two 4.5-hour exams, without tools/web.

• OpenAI claims the unnamed model successfully solved 5 out of 6 problems, scoring 35/42 — enough to bag a gold medal on the official Olympiad.

• Each answer was independently graded by three former IMO medalists, with final scores determined through unanimous consensus.

• Google DeepMind, on its part, has rebuked the gold claim, saying IMO has an internal marking guideline and “no claim” might be made without it.

Why it matters: Criticisms around validity are inevitable, on condition that achieving gold within the IMO has been a longstanding goal for AI and was once regarded as near unimaginable. Interestingly, that the goal was achieved by an experimental model not available publicly yet, meaning OpenAI definitely has more up their sleeves.

TOGETHER WITH AUGMENT CODE

⚙️ Ditch the vibes, get the context

The Rundown: Augment Code’s powerful AI coding agent meets skilled software developers exactly where they’re, delivering production-grade features and deep context into even the gnarliest of codebases.

With Augment Code, you may:

• Keep using VS Code, JetBrains, Android Studio, and even Vim

• Index and navigate hundreds of thousands of lines of code

• Get fast answers about any a part of your codebase

• Construct with the AI agent that gets you, your team, and your code

Ditch the vibes and get the context that you must engineer what’s next.

ARC PRIZE

⚙️ ARC’s latest interactive AGI test

The Rundown: ARC Prize has released a preview of ARC-AGI-3, a brand new interactive reasoning benchmark to check AI agents’ ability to generalize in unseen environments — with early results showing frontier AI still fails to match and even beat humans.

The main points:

• The benchmark features three original games built to guage world-model constructing and long-horizon planning with minimal feedback.

• Agents receive no instructions and must learn purely through trial and error, mimicking how humans adapt to latest challenges.

• Early results show frontier models like OpenAI’s o3 and Grok 4 struggle to finish even basic levels of the games, that are pretty easy for humans.

• ARC Prize can be launching a public contest, inviting the community to construct agents that may beat probably the most levels — and truly test the state of AGI reasoning.

Why it matters: The brand new novelty-focused interactive benchmark goes beyond specialized skill-based testing and pushes research towards true artificial general intelligence, where AI systems can generalize and adapt to novel, unseen environments with accuracy — very like how we humans do.

AI TRAINING

🤖 Construct your individual AI content writing assistant

The Rundown: On this tutorial, you’ll learn create a personalised AI assistant that analyzes your writing samples and generates latest content matching your exact style, tone, and voice using the Grok 4 API.

Step-by-step:

1. Visit the xAI website, head over to the API console, and generate an API key

2. Open Google Colab (or your selected Python environment) and install the OpenAI library: pip install openai

3. Arrange your API connection and create a system prompt together with your best writing examples for the AI to learn from (tip: use our Google Colab system prompt template)

4. Input any topic and watch your assistant generate content in your writing style based on the samples provided

Pro tip: Include writing samples that best amplify the precise style you would like to clone, and create latest assistants for other styles (eg, writing tweets vs LinkedIn posts).

PRESENTED BY SLACK FROM SALESFORCE

📈 The actual ROI of AI agents in collaboration

The Rundown: For all of the talk of AI’s transformative power, are firms actually seeing a tangible return? A brand new Metrigy global study of over 1,100 firms confirms that over 90% of organizations investing in AI are already achieving or expect positive ROI.

Research reveals that early adopters of agentic AI specifically are seeing:

• 21% reduction in operating costs

• 35% increase in customer satisfaction

• 31% improvement in worker efficiency