Today in AI

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• News roundup

• Research spotlight

• Today’s big story

• This week on the podcast

News roundup

The top stories in AI today.

NEW LAUNCHES

The latest features, products & partnerships in AI

• ChatGPT Plus upgrade now available on iOS app

• Linux Lite adds subtle AI desktop chat feature for better developer support

• This new AI tool turns regular video into fully editable 3D scenes

• Brainiest AI launches advanced imaging tools for SMB marketers

• Camelot Secure introduces new AI tool to simplify cybersecurity certifications in the defense industry

• PyCharm integrates Hugging Face AI tools for developers

• OnePlus just released OxygenOS 15, an AI-powered OS that improves multitasking

IMPLEMENTATION

Announcements, strategies, predictions & tools

• How Autodesk took AI from experimentation to real-world application

• How farmer resistance to AI adoption may impact the future of agriculture

• Beyond the hype: How to unlock tangible business value from generative AI

• AI at the edge: Key architecture decisions for future success

• Forget the future — how is AI dramatically impacting our lives right now?

AI MODELS

Deployment, research, training & infrastructure

• Cognitive superposition: How human multitasking will evolve with AI assistance

• How serious is the data scarcity problem for the AI industry?

• Carnegie Mellon research explores how LLMs can enhance group decision-making

• New research seeks to answer what AI models can teach us about the human brain

• This new AI model aims to reduce unnecessary cancer treatments

AI INFRASTRUCTURE

Financing, deployment, environment & strategies

• AMD overtakes Intel in datacenter sales for first time

• Meta partners with Lumen to drive network expansion and AI adoption

• Why new AI data centers may spike Americans’ electricity bills

• Inside the war between Nvidia and Cerebras to own the AI inference market

What’s happening in AI right now

Big tech's $75B bet shows true cost of AI infrastructure

Amazon's massive cloud expansion reflects surging demand for AI capabilities, with a planned capital expenditure of $75 billion for 2024 - with even higher amounts projected for 2025. This spending, primarily to support AWS's growing AI services, comes amid broader shifts in the computing landscape.

A shifting computing landscape

A historic milestone emerged this week as AMD overtook Intel in datacenter CPU revenue for the first time, with $3.549 billion in Q3 compared to Intel's $3.3 billion. This changing of the guard in traditional computing comes as Nvidia continues to dominate the broader datacenter market with GPU sales of $22.604 billion in Q2 FY2025 - far exceeding AMD and Intel's combined sales.

These numbers tell a deeper story about how AI is reshaping the computing landscape. The traditional CPU market, long dominated by Intel, is being disrupted not just by AMD's superior price-performance ratio but by the growing importance of specialized AI chips.

The hidden costs of progress

This infrastructure build-out carries significant implications beyond balance sheets. Communities across the United States are beginning to feel the impact through rising electricity bills, as power-hungry AI data centers strain local grids. This creates a complex tension between technological progress and community interests.

Meta's recent partnership with Lumen Technologies to expand network capacity highlights another crucial aspect of the AI infrastructure race - the need for robust data transmission capabilities to support increasingly complex AI workloads.

Edge computing: the next frontier

While major tech companies pour billions into centralized computing infrastructure, edge intelligence is emerging as a crucial trend. This approach moves AI processing closer to where data is generated, offering benefits in latency, autonomy, and resilience. Organizations must now carefully balance centralized and edge computing strategies, considering factors like data privacy, security requirements, and cost-performance trade-offs.

Looking ahead

The massive infrastructure investments we're seeing today will shape the competitive landscape for years to come. Companies that fail to secure adequate computing resources risk falling behind, while those that over-invest face significant financial risk if AI demand doesn't meet expectations.

For now, one thing is clear: the AI arms race is as much about infrastructure as it is about algorithms. The question is whether this unprecedented build-out will lead to a sustainable competitive advantage.

We publish daily research, playbooks, and deep industry data breakdowns. Learn More Here

This week on the podcast

Can’t get enough of our newsletter? Check out our podcast Future-Proof.

In this episode, the hosts Anthony Batt and Shane Robinson with guest Joe Veroneau from Conveyor discuss outsmarting paperwork. Conveyor is a company that helps automate security reviews and document sharing between companies. They use AI technology, specifically language models, to automate the process of filling out security questionnaires. This saves customers a significant amount of time and improves the quality of their responses.