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Mondayās AI Report
⢠1.Ā šØāš» OpenAIās groundbreaking coding agent
⢠2. šĀ Protect your personal info online with IncogniĀ
⢠3. š NVIDIAās big shift will affect leadership
⢠4. š” OpenAIās data center bigger than Monaco?
⢠5. š¼Ā Become an AI consultant with Innovating with AIĀ
⢠6. āļø Trending AI Tools
⢠7. šļø Practical AI Applications
⢠8. šĀ Recommended Resources
Read Time: 5 minutes
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OpenAI has launched a research preview of its āmost capable AI-powered coding agentā to dateāCodexāto ChatGPT Pro, Enterprise, and Team users. It believes it will eventually become a āvirtual teammateā as it can autonomously take on tasks that usually take human engineers āhours or even daysā to complete.
Codex is powered by Codex-1, a software engineering-optimized version of OpenAIās o3 reasoning model, which produces ācleanerā code, āadheres more precisely to instructions, and iteratively runs tests on its code.ā
It handles multiple tasks simultaneously and can take from 1- 30 minutes to write code, fix bugs, answer codebase questions, and run tests. Users can also use their computer as normal while Codex is running.
OpenAI has been using Codex internally to āoffload repetitive tasks, scaffold new features, and draft documentation,ā and early adoptersāCisco and Superhumanāhave reported increased efficiency.
This comes after OpenAI (reportedly) recently closed a deal to acquire AI coding platform, Windsurf, for $3B, as its biggest rivals release their own AI coding agents. For example, Anthropic released Claude Code earlier this year, just last month, Google updated its coding assistantāGemini Code Assistāwith agentic capabilities, and Microsoft believes that roughly 30% of its code is currently written by AI.
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During Computex (Asiaās biggest electronics forum), AI chip-maker NVIDIA announced a string of new AI technologies and revealed plans to build a new HQ and AI chip factoryācalled NVIDIA Constellationāin the Northern suburbs of Taipei, in Taiwan.
The most notable product announcement was NVLink Fusionāa platform that opens up NVIDIA servers to allow companies to use AI chips from other manufacturers to build semi-customized AI infrastructure.
NVIDIAās goal with Fusion is to broaden the reach of its products and eliminate ābarriers to AI adoption,ā as it will give customers more flexibility, while keeping NVIDIA technology at the center.
It's also partnered with supplier Foxconn to build an AI factory in Taiwan, as the country āplays a key role in the global chipmaking industryā (NVIDIAās biggest suppliers are Taiwanese-based TSMC and Foxconn).
These announcements come after NVIDIA revealed (last week) a huge deal with Saudi Arabiaās new AI startup, Humaine, which plans to build the worldās biggest data center, in partnership with the US. This and its latest slew of product updates are undoubtedly diversifications aimed at sustaining its market leadership position, as export restrictions, potentially falling demand for AI chips, and big tech companies building their own AI chips to reduce reliance on NVIDIA, threaten to harm its AI chip-driven growth.
As part of Trump's ambitious $500B Stargate project, OpenAI is partnering with Abu Dhabi-based tech conglomerate, G42, toĀ build a 5-gigawatt data center in Abu Dhabi.
The data center will reportedly sprawl over 10 square milesāmaking it bigger than the country of Monaco and larger than any other AI data center in the worldāand could power the equivalent of 5 nuclear reactors.
OpenAI has begun the development of its first Stargate data center in Abilene, Texas, which is expected to reach just 1.2 gigawatts in capacity, meaning the new Middle Eastern data center will quadruple that.
The AI consulting market is about to grow by a factor of 8X ā from $6.9B to $54.7B in 2032.
But how does an AI enthusiast become an AI consultant?
How well you answer that question makes the difference between just āhaving AI ideasā and being handsomely compensated for your contribution to an organizationās AI transformation.Ā
Thankfully, you donāt have to go it alone ā our friends at Innovating with AI have welcomed 700 new students into The AI Consultancy Project, their new program that trains you to build a business as an AI consultant.
Some of the highlights current students are excited about:
The tools and frameworks to find clients and deliver top-notch services
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Students getting their first AI client in as little as 3 days
Prompt Inspiration
After typing this prompt, you will get an ad campaign outline that uses the AARRR framework to establish the key stages of your ideal customerās journey and highlights how you can generate revenue at each stage, including key tactics and metrics to measure performance.
Write an ad campaign outline using the 'AARRR (Pirate Metrics)' framework to outline the key stages of the customer journey for our [INSERT: product/service] and describe how we will acquire, activate, retain, refer, and generate revenue from [INSERT: Ideal customer persona]. Include specific tactics and metrics you would use to measure performance at each stage.
P.S. Use the Prompt Engineer GPT by The AI Report to 10x your prompts.
Name: Abnormal Security
Value: $5.1B
Funding raised: $284M (Series C)
Abnormal Security is a B2B security company that uses custom-made Abnormal Behavior Technology (a data science model that maps out the content of emails sent internally and externally) to protect clients from email attacks.
Email like a Superhuman
In this podcast, the Head of Engineering at Superhuman discusses how AI and LLMs are reshaping the email experience, delving into challenges like prompt and infrastructure optimization, and how user experience and real human workflows are key to building AI tools people want to use.
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