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GPT-4o and Gemini: The AI Revolution That Could Upend Your Job

Quick Byte:

OpenAI’s GPT-4o and Google’s Gemini are poised to transform the workplace with their multimodal capabilities, handling text, audio, and images. While they might assist trades like electricians and plumbers, the broader impact on data-centric jobs and the overall workforce is much more unsettling.

Key Takeaways:

• Introduction: GPT-4o and Gemini can process and output text, audio, video, and images.

• Trades Impact: Electricians, plumbers and other trades could see improved efficiency through AI assistance but aren’t safe from the humanoid robots of the future.

• Data Jobs: Significant automation is expected in supply chain, finance, and other data-driven industries.

• Workforce Adaptation: 20-30% of tasks for computer-based jobs could be automated by AI.

• Skills Evolution: Workers will need to rapidly evolve their skillsets to avoid obsolescence, which may only prolong the inevitable.

Bigger Picture:

GPT-4o and Google Gemini represents a seismic shift in the future of work, and it's not all rosy. While these multimodal AI models promise to enhance efficiency and streamline tasks for tradespeople, the impact on broader industries is deeply concerning. Jobs that rely heavily on data are particularly vulnerable, with up to 30% of tasks potentially automated. This isn't just about making work easier; it's about redefining what work means and who gets to do it.

We can't ignore the historical parallels. During the Great Depression, unemployment peaked at 25%. We're looking at a future where a similar percentage of tasks could be automated away, and unlike past economic revolutions, there's no guarantee of new jobs emerging to fill the void. The notion that AI will simply create better, higher-paying jobs is a dangerous myth. Humanoid robots and AI systems are learning at unprecedented speeds, and the idea that they won’t eventually replace even specialized trades is naive.

The impact on “computer workers” should serve as a stark warning. As AI takes over more tasks, these workers must continuously adapt, learning new skills that are not yet defined. This relentless pace of change isn't sustainable and will likely lead to significant job displacement.

We need to start having serious conversations about the future of work and the structure of our society. AI is not just a tool; it's a transformative force that could widen economic disparities and disrupt livelihoods. With the cost of living already skyrocketing, we are precariously balanced on a tightrope. The future is not just uncertain; it’s a looming threat that we must address now to avoid catastrophic consequences.

Hackathon Heroes: $20 Open Source Smart Glasses Set to Disrupt

Quick Byte:

From a 36-hour hackathon in San Francisco comes Open Glass, a $20 pair of smart glasses that connect what you see and hear to AI chatbots like Meta’s Llama 3. This groundbreaking project has the potential to upend the smart glasses industry with its affordability and open-source customization.

Key Takeaways:

• Project Origins: Built at a 36-hour hackathon in San Francisco.

• Team: Led by Scott Fitsimones and Nik Shevchenko, with Stepnan Korshakov, Shreeganesh Ramanan, and Jatin Gupta.

Features:

• Camera snaps a pic every 5 seconds.

• Microphone constantly transcribes audio.

• Connects to AI chatbots like Meta’s Llama 3.

• Functionality: Answer questions like "Where are my keys?" or "How many calories in this fruit?"

• Cost: Only $20, making it incredibly accessible.

• Customization: Open source, allowing developers to tweak and enhance.

• Privacy Concerns: Constant recording of audio and video.

Bigger Picture:

Open Glass is a game-changer in the smart glasses market, bringing powerful tech to the masses at a fraction of the cost. Developed in just 36 hours, these glasses are a testament to the creativity and drive of the open-source community. While privacy concerns remain, the potential for innovation and everyday use is huge. This is the kind of disruptive tech that could really shake things up.

When AI Goes Off the Rails: 7 Times Smart Tech Got It Wrong

Quick Byte:

Artificial intelligence is supposed to make our lives easier, but sometimes it goes hilariously—or disastrously—wrong. Here are seven instances where AI didn't function as planned, showing the limits and challenges of our smart tech.

Key Takeaways:

1. Artificial Evidence: Lawyers used ChatGPT to generate court cases that turned out to be fictional, leading to new court rules banning generative AI in legal filings.

2. Robot Escape: Promobot IR77, a Russian robot, repeatedly escaped its lab, causing a traffic jam and showcasing how AI can sometimes go rogue.

3. Ball or Bald Head?: AI cameras at a Scottish football match mistook a bald linesman’s head for the ball, focusing on him instead of the game.

4. Recruitment Bias at Amazon: Amazon’s AI recruiting tool developed a bias against women, leading to its discontinuation.

5. Inappropriate Pregnancy Predictions: Target’s AI predicted pregnancies based on shopping habits, sometimes before the customers’ families knew, causing privacy concerns.

6. Tesla Crash: A Tesla Model S on autopilot failed to detect a truck, leading to a fatal crash and highlighting the limitations of AI in autonomous driving.

7. The Online Offender: Microsoft’s Twitter chatbot Tay turned offensive within 16 hours, spouting racist and misogynistic comments before being shut down.

Bigger Picture:

These AI failures underscore the importance of human oversight and the potential pitfalls of relying too heavily on technology. While AI offers incredible benefits, it’s clear that it’s not infallible. From legal blunders to rogue robots, these incidents remind us that AI still needs significant improvements and careful implementation to avoid causing more harm than good.

This November, Your Data Privacy Is on the Ballot

Quick Byte:

This fall, voters will face a critical decision—not just about presidential candidates, but about data privacy. With AI ramping up the volume of political ads and scams, and new federal data privacy regulations on the horizon, the stakes for protecting personal information have never been higher.

Key Takeaways:

• Election Season: Expect inboxes to be flooded with political emails due to Google’s spam filter bypass pilot for political senders.

• AI Impact: Marketers will use AI for more targeted outreach, but also risk increasing unwanted political ads.

• Scams & Deepfakes: AI is making it harder to spot online scams and deepfakes, with 53% of consumers finding it more challenging.

• New Marketing Channels: AI introduces virtual realities, facial recognition, and precise location-ID for customer outreach.

• Data Privacy Concerns: 93% of people worry about online data security, driven by frequent breaches and lack of transparency.

• American Privacy Rights Act: A bipartisan bill proposing the first federal standard for data privacy and security, including opt-out rights for targeted advertising.

• Enforcement: Proposed enforcement by the FTC, states, and individuals through private action.

Bigger Picture:

The convergence of AI advancements and the push for federal data privacy regulations sets the stage for a pivotal moment in how personal information is handled. This election season, voters will not only choose their leaders but also influence the future of data privacy. With AI-driven political ads and scams on the rise, protecting voter data is more crucial than ever. The American Privacy Rights Act of 2024 aims to address these issues, but businesses must proactively safeguard customer data to maintain trust and compliance. The decisions made now will shape the digital landscape for years to come.

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