Today in AI

• News roundup

• Today’s big story

• AI research changing the world

• Tool spotlight

• This week on the podcast

News roundup

The top stories in AI today.

NEW LAUNCHES

The latest features, products, rounds & partnerships in AI

• Microsoft just released Drasi, and it could change how we handle big data

• OpenAI just dropped ChatGPT Canvas, an AI-first text and code editor

• Google announces major AI features coming to search

• Microsoft AI can now see and analyze your browsing activity

• Google Lens now lets you search with videos too

• ChatGPT Advanced Voice debuts for free with a twist

• Claude AI beats ChatGPT with new Artifacts feature

IMPLEMENTATION

Announcements, strategies & tools

• 5 AI image generators tested: the surprising winner revealed

• AI transforms sports coverage with ESPN-style broadcasts

• 8 AI-driven workplace trends reshaping careers by 2025

• AI leadership gap threatens business competitiveness

• AI reshapes healthcare at GITEX GLOBAL 2024

GADGETS

Computers, phones, chips & AI powered devices

• Meta AI gains edge from Ray-Ban smart glasses photos

• AI drone software outperforms search teams in finding missing people

• AI wearable NotePin fails to impress beyond app functionality

• The Rabbit R1 is finally getting the AI feature that sold you on it in the first place

MODELS

Deployment, research, training, infrastructure

• Black Forest Labs debuts Flux1.1 [pro] image generator alongside new API

• RTX AI Toolkit enhances with multi-LoRA support

• Google’s AI simulates Doom without game engine in breakthrough

• The parallels between human dreaming and learning in AI models

• Are community-trained AI models the future of LLM development?

What’s happening in AI right now

AI implementation surges across industries

The AI implementation dilemma

As artificial intelligence continues to demonstrate its transformative potential, companies across industries are grappling with a common challenge: how to implement AI technologies effectively. Recent developments highlight the growing emphasis on responsible AI adoption and the innovative solutions emerging to address this crucial "last mile" problem.

Guardrails for AI adoption

Vera AI Inc. has launched its AI Gateway platform, offering a promising solution for organizations looking to implement AI technologies safely and efficiently. The platform provides customizable guardrails and model routing capabilities, acting as an intermediary between users and AI models to enforce policies and optimize costs.

This launch comes at a critical time, as businesses seek to balance the drive for innovation with growing concerns about AI safety and ethics. Vera's approach of offering API-based pricing at one cent per call, with a 30-day free trial, makes it accessible for companies of various sizes to experiment with responsible AI implementation.

The emergence of platforms like AI Gateway reflects a broader trend in the AI industry. As the technology becomes more powerful and ubiquitous, there's an increasing recognition that successful AI implementation isn't just about technological capability, but also about governance, safety, and ethical considerations.

Real-world AI implementation

While tools like AI Gateway provide a framework for safe AI adoption, real-world implementations are pushing the boundaries of what's possible with AI. Google's recent development of GameNGen, an AI-powered neural network capable of generating real-time gameplay for the classic shooter Doom without a traditional game engine, showcases the potential for AI to fundamentally change how we approach complex tasks.

This breakthrough in AI implementation has implications far beyond gaming. The ability to simulate complex environments in real-time could revolutionize fields such as autonomous vehicle development, virtual and augmented reality, and smart city planning. However, it also raises important questions about how to implement such powerful AI systems responsibly and ethically.

Personalization at scale

Another frontier in AI implementation is personalization at scale, as exemplified by ESPN's plans to use AI to create personalized versions of its SportsCenter program for individual viewers. This ambitious project represents a significant challenge in AI implementation, requiring the integration of vast amounts of data, sophisticated machine learning algorithms, and content delivery systems.

ESPN's initiative highlights both the potential and the pitfalls of large-scale AI implementation. While the promise of hyper-personalized content is enticing, it also raises concerns about data privacy and the impact on the shared cultural experience of sports viewing.

Looking ahead

As AI implementation continues to accelerate across industries, we can expect to see more innovative solutions emerge to address the challenges of responsible AI adoption. The success of these implementations will likely depend on how well organizations can balance the drive for innovation with the need for safety, ethics, and user trust. For business leaders, the message is clear: AI implementation is no longer a future consideration but a present-day imperative.

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

AI research changing the world

The latest breakthroughs and most pivotal papers — broken down in language anyone can understand.

Anthropic research reveals surprising AI bias patterns, paving the way for fairer decision-making

Imagine a world where AI makes unbiased decisions across society, from loan approvals to hiring processes. While we're not there yet, new research from Anthropic brings us a step closer to this reality. As AI increasingly influences high-stakes decisions, understanding and mitigating its biases isn't just an ethical imperative; it's a business necessity that could reshape industries and redefine fairness in the digital age. The study, which evaluated AI decision-making across 70 diverse scenarios, uncovered surprising patterns of both positive and negative discrimination.

Contrary to expectations, the AI showed favorable bias towards women, non-binary individuals, and racial minorities in many situations. However, it consistently discriminated against older applicants. Perhaps most importantly, the research demonstrated that simple prompt-based interventions could significantly reduce these biases without compromising the AI's decision-making ability. This finding opens up new possibilities for creating fairer AI systems that could revolutionize everything from financial services to human resources.

The AI tool we’re loving right now

The best way to get AI literate? Try the tools!

BigVu

There’s no way around it — being a content creator, influencer or business leader these days requires publishing high-quality video content. That’s why BigVu is such a powerful tool. BigVu uses the power of AI to allow you traverse the entire lifecycle of video creation and publishing with some very cool features:

• Eye contact correction

• Subtitle & caption generation

• Video-to-text transcription

• Script generation

• Teleprompter

• AI voice changing & cloning

• Background music generator

• Post Scheduler

• Landing page generator

• And much more

The best part? CO/AI subscribers get access to a special discount when they sign up using the link below. Use our promo code MEHFIN63 at checkout to receive $20 off when you subscribe.

Want to learn how to use BigVu? Check out our tutorial 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.