### WEEK 34 ###
Curated by Leandro Gomes da Silva

### WEEK 34 ###

It's no secret that I love to follow AI developments. This newsletter is a testament to my goal of encouraging people to learn and feel excited about this technology's impact on all aspects of our lives.

But what if I want to increase the impact? Should I stay on LinkedIn? Should I start making videos that are easier to share and consume? While I'm looking for answers, your input would be appreciated. I'm playing around with some ideas, and your input is key.

You are the one who took the time to see what little old me put together this week. Thank you. I genuinely appreciate that.

Now scroll down, read one, and have fun; I left the most extraordinary story for last today!


Fortune 500 Companies Sound the AI Alarm

In a striking shift, over half of Fortune 500 companies now cite AI as a potential risk in their annual reports. Will this inspire markets to tame their bullishness on AI? I don't think so; it's fair to acknowledge the risk of AI, but so far, the upside will by far outweigh the risks.

Key points:

  • 56% of Fortune 500 companies mentioned AI as a risk factor in 2024, up from just 9% in 2022
  • Only 33 out of 108 companies discussing generative AI saw it as an opportunity
  • Media, entertainment, and tech sectors show the highest concern, with over 86% citing AI risks

Why it matters: This widespread acknowledgment of AI risks by major corporations signals a significant shift in how businesses perceive AI's impact. It highlights the need for careful implementation and risk management strategies as AI becomes increasingly central to business operations.


Salesforce's AI Agents to the rescue

Imagine a tireless sales development rep who works 24/7 and never runs out of patience. Sounds like a sales manager's dream, right? Salesforce is deploying AI assistants for its sales teams. Will this be a productivity booster, or will we see another round of layoffs soon?

Key points:

  • Einstein SDR Agent can autonomously engage with prospects 24/7
  • Einstein Sales Coach Agent helps salespeople rehearse pitches and provides real-time suggestions
  • Early adopters are likely to be tech firms and mid-market companies

Why it matters: We know Salesforce is huge; these AI agents could significantly boost sales productivity and effectiveness. However, their introduction also raises questions about the changing nature of sales roles and their potential impact on sector employment.


Luma's Dream Machine 1.5: Bringing Your Photos to Life

Luma Labs is an AI model that quickly creates high-quality, realistic videos from text and images. It has upgraded its Dream Machine to version 1.5, promising better realism, motion following, and prompt understanding in AI-generated videos.

Key points:

  • Improved realism and motion quality in generated videos
  • Better character consistency across video generation and extensions
  • New ability to generate legible text within videos

Why it matters: As AI video generation becomes more sophisticated, it could democratize video content creation, allowing anyone to produce high-quality animated content from simple images or text prompts. This could transform industries from entertainment to education and marketing, not to mention what it would mean for fan fiction.


Google's Gemini Gets a Gmail Upgrade: Your Personal Writing Assistant

We are getting closer to AIs talking to AIs. 谷歌 is enhancing its Gemini AI writing tools in Gmail, offering features to polish, formalize, and elaborate on your drafts. Is this the end of email anxiety, or the beginning of AI-driven miscommunication?

Key points:

  • New "Polish" option added to refine email drafts
  • Shortcuts for AI writing tools now appear directly in the email body on mobile
  • Available to Google One AI Premium and Workspace Gemini add-on subscribers

Why it matters: This integration of AI writing assistance into one of the world's most popular email platforms could significantly impact how we communicate. It raises questions about the authenticity of written communication and the role of AI in shaping our digital interactions. It must be considerably better than Copilot to be a W for me.


Amazon might inject GenAI with a quality boost

Amazon Web Services (AWS) AI team introduced RAGChecker, a new tool for evaluating Retrieval-Augmented Generation (RAG) systems. These systems allow GenAI to access and incorporate relevant information from a large database when generating responses.

It's similar to how a person might consult reference materials to answer questions more accurately. Could this lead to a significant reduction in hallucinations and trustworthy AI?

Key points:

  • Offers detailed evaluation of both retrieval and generation components in RAG systems
  • Tested across 8 different RAG systems in 10 distinct domains
  • Could help diagnose and correct errors in AI information retrieval and use

Why it matters: As AI systems increasingly rely on external data to generate responses, ensuring the accuracy and relevance of retrieved information becomes crucial. RAGChecker could play a vital role in improving the reliability of AI-generated content across various applications. Let's hope Amazon decides to open-source this.


AI is telling us how to fix our climate

A groundbreaking study used machine learning to analyze 1,500 climate policies, pinpointing the most effective interventions. Is AI the missing piece in our fight against climate change?

Key points:

  • Identified 63 interventions in 35 countries that led to significant emission reductions
  • Policies combining multiple tools were more effective than standalone measures
  • The analysis covered four high-emitting sectors: buildings, electricity, industry, and transport

Why it matters: This AI-driven analysis could help policymakers design more effective climate strategies, potentially accelerating global efforts to reduce emissions. It demonstrates AI's potential to tackle complex global challenges beyond just business applications.


Will AI use the human brain to reach its potential?

FinalSpark debuts a platform powered by human brain organoids while other researchers explore fungal and bacterial computing. Are we witnessing the birth of truly 'living' computers? The startup takes brain organoids , small samples of human brain tissue derived from neural stem cells, and places them in a special environment that keeps these organoids alive. They then hook up these mini-brains to specialized electrodes to perform computer processing and digital analog conversions to transform neural activity into digital information.

The concept of living computers has been around for quite some time now. Last year, for instance, scientists hooked up neurons to electrical circuits, resulting in a device that could?perform voice recognition .

Key points:

  • FinalSpark's "Neuroplatform" uses human brain organoids for computing, rentable at $500/month
  • Researchers are exploring various forms of biocomputing, including cellular and fungal systems
  • Biocomputers could potentially use significantly less energy than traditional AI systems

Why it matters: While still in early stages, biocomputing represents a fascinating potential future for AI and computing. It could offer more energy-efficient alternatives to traditional silicon-based systems and open up new possibilities for AI applications, particularly in fields like environmental monitoring and bioremediation.

I expect a lot of resistance from religious groups due to the use of stem cell technology to create the organs. To be fair, we are creating brains in a jar, and that is pushing it any way you look at it.


Your engagement is the real MVP of this newsletter. Every like, comment, and share not only keeps the conversation flowing but also helps me keep this weekly AI roundup going. It's pretty awesome to see this little experiment grow, and it's all thanks to you.

Know someone who'd get a kick out of these weekly insights? Why not share the fun? If you're finding value here, a quick like goes a long way in spreading the word. Thanks for being part of this journey. See you next Monday for another AI deep dive!

Cheers,
Leandro

P.S. Got ideas on how to make this newsletter better? I'm all ears. After all, the best upgrades come from user feedback, not just algorithm tweaks!        

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