Your Next Uber Might Be A Lucid Robotaxi

Uber is investing hundreds of millions of dollars in EV maker Lucid and autonomous driving startup Nuro in a massive deal that will see 20K robotaxis in the U.S. over the next six years starting with the first city in 2026.

The details:

• Piloting this ambitious plan is Lucid’s upcoming Gravity SUV, a luxury SUV starting at $79K, outfitted with Nuro’s Level 4 autonomy suite. 
• Nuro’s fleet of vehicles currently operates in California and Texas, with 1M autonomous miles traveled without any major safety incidents.
• The robotaxi experience will be exclusive to Uber’s app, leveraging its routing and delivery infrastructure, with the ride-hailing giant investing $300M in Lucid.
• Fleet ownership falls to Uber, and Las Vegas is ground zero for prototype testing, with the first public deployment city set to be revealed in 2026.

The fleet will be owned by Uber or a third-party fleet management partner and the first vehicles will launch in as-yet-to-be-determined US city in 2026.

“This is a very, very big deal,” Dave Ferguson, co-founder and president of Nuro, said in an interview. “In terms of the scale and the hard commitments and the meat behind it, it is by far the biggest partnership deal that Uber has announced or done.” Uber is investing $300 million in Lucid, a spokesperson for the automaker, Nick Twork, confirmed. The investment in Nuro will be “significantly more than that,” Ferguson said, though he declined to share an exact figure. As part of the deal, Uber will take a seat on Nuro’s board of directors.

“Autonomous vehicles have enormous potential to transform our cities for the better,” said Dara Khosrowshahi, CEO of Uber. “We’re thrilled to partner with Nuro and Lucid on this new robotaxi program, purpose-built just for the Uber platform, to safely bring the magic of autonomous driving to more people across the world.”

Google Begins Using AI to Scan Websites In Real-time For Scams

 Google is now utilizing a new version of the company's Gemini AI model to check websites in real-time for scams and potential hazards. The new on-device model, called Gemini Nano, runs directly from within Chrome on your desktop to protects users’ privacy and data by scanning web pages and on-site ads for 'scammy' language and code to warn users of potentially unsafe sites.

As with Chrome’s existing safe browsing mode, if a user attempts to access a potentially unsafe site, they’ll see a warning before being given the option to continue to the page. Dubbed Enhanced Protection mode,  Google says the new tool offers the highest level of protection, to keep users twice as safe from phishing and other scams versus their Standard Protection mode. The on-device approach provides instant insight on risky websites and allows Chrome to offer protection, even against scams that haven't been seen before. 

In their update Google states that Gemini Nano's LLM is perfect for this use because of its ability to distill the varied, complex nature of websites, helping then to adapt to new scam tactics more quickly. Although Google has long used machine learning to protect its services, newer AI advancements have led to improved language understanding and pattern recognition, enabling the tech to identify scams faster and more effectively.

Alongside the updates to the desktop version of Chrome is also launching new AI-powered warnings for Chrome on Android meant to help users in fighting scams, spam and unwanted notifications. When Chrome’s on-device machine learning model flags a notification, you’ll receive a warning with the option to either unsubscribe or view the content that was blocked. And if you decide the warning was shown incorrectly, you can choose to allow future notifications from that website.

For more details read Google's update here.

How Covid Fueled Trump's Tariffs Plan

Even before the unprecedented supply chain disruptions caused by the pandemic, the United States was grappling with growing uncertainty surrounding the supply of semiconductor chips and other critical tech manufacturing components. These issues had significant negative consequences for numerous sectors of the American economy, particularly the automotive industry. By 2018, increasing dependence on foreign chip manufacturers had already raised concerns about potential supply chain vulnerabilities. 

COVID-19 and Global Shortage:

The COVID-19 pandemic exacerbated these concerns. Demand for semiconductors surged for various consumer electronics and industrial applications, while production faced bottlenecks due to factory shutdowns and logistical challenges. In a culmination of negative variables, the chip shortage grew, showing American manufactures that changes needed to be implemented to maintain a readily available supply of not just semiconductors, but raw materials and other components needed to maintain our economy and ecosystems. As COVID gripped the world shutdowns placed a stranglehold on sourcing almost all goods. Raw materials shortages continued to intensify due to capacity restraints, unpredictability of the COVID-19 pandemic, and the unforeseen events that struck chipmakers globally. 

Impact on Automotive:

Despite the grip that COVID held over the nation The automotive industry saw a rather unexperienced surge in demand as purchasing behavior shifted as consumers avoided public transportation due to the pandemic and developed an increased desire for new vehicles. With that increased demand came increased supply challenges and the on-going global chip shortage carried a severe impact on the automotive industry. Many car manufacturers had to reduce production, delay model launches, and even shut down assembly lines due to the inability to secure sufficient chip supplies. 

2018 US–China Trade War Escalates:

Starting in 2018, the US–China trade war began to unfolded in five phases which were carried out through 2021. The first wave of tariffs that directly impacted chipmaking hit Chinese imports in 2018. It targeted raw materials for chips, such as silicon and reactor tubes and holders designed for semiconductor wafer production. In August 2019, the trade war escalated as Beijing announced it would apply $75 billion in tariffs on US goods. The last phase of US tariffs in September 2019 targeted $120 billion worth of Chinese goods. In 2019, the US and China made an agreement that included structural reforms and changes to China’s economic and trade regime. The hope was that when this agreement later went into effect, it would reduce the back-and-forth tariff increases on imports.

These agreements didn't hold and and tension between the US and China further escalated which resulted in wafer supply hoarding when the US later blacklisted China’s biggest chipmaker, SMIC, in 2020. With many vital parts of the supply chain impacted, US industries reliant on semiconductors feared that restrictions on Chinese imports would lead China to create their own semiconductor ecosystem.

America's Answer to Chinese Chip Manufacturing Dominance:

International governments have also joined the push to increase chip capacity. In July 2022, the United States Senate and House of Representatives passed the CHIPS Act, which includes about $52 billion in government subsidies for research and production of semiconductors in the U.S. The bill also provides chip plants with tax credits worth about $24 billion, with the goal of spurring U.S. chip manufacturing to alleviate some of the supply chain issues hampering the country's automotive and consumer electronics industries, among others.

In 2024, then President Joe Biden, looked to "Protect American Workers and Businesses from China’s Unfair Trade Practices" by increasing tariffs on more than $18 billion of imports from China.  At that time President Biden stated, "American workers and businesses can outcompete anyone—as long as they have fair competition. But for too long, China’s government has used unfair, non-market practices." In 2025 President Trump reiterated those concerns and moved to protect our nations workers, national and economic security by impose a 10% tariff on all countries. 

Looking to further shrink the gaps between US and Chinese semiconductor manufacturing President Trump announced even more significant tariffs against China and electronics manufactured there. The president believes that tariffs are necessary to ensure fair trade, protect American workers, and reduce the trade deficit that he believes has undermined critical supply chains; and rendered our defense-industrial base dependent on foreign adversaries.

US Manufactures Respond With $4 Trillion In Promised  Investments:

While many have raised questions and concerns over the costs associated with a trade-war and the overall impact and potential negatives associated with a raising costs of  materials. US based semiconductor and electronics manufactures have responded by promising investments into infrastructure and programs that will help boost domestic production and manufacturing.  Apple, has announced its largest-ever spend commitment, with plans to spend and invest more than $500 billion in the U.S. over the next four years. 

TSMC is expanding its manufacturing presence in the United States, with a major focus on a large facility in Phoenix, Arizona. The company plans to invest $165 billion in total, including an additional $100 billion, to build multiple fabs, including the first which began production in late 2024. This expansion aims to strengthen the U.S. semiconductor ecosystem and reduce reliance on foreign chip production. 

It is not just tech companies that are responding to the call to repatriate manufacturing. Pharmaceutical companies have as well. Novartis has committed $23 billion to US manufacturing, while Johnson & Johnson and Eli Lilly have announced combined investments of nearly $85 billion in manufacturing and R&D over the next four years

Clearly trade and the trade imbalance was on the mind of President Trump before the interruption of his presidency. It was a concern that was by and large shared by both parties as seen by President Biden's actions. The use of tariffs has positives and negatives both ways we look at it, and while an all out trade war isn't particularly ideal. It certainly seem to be needed. If these companies and promises play out as planned. The US might be on track to see a manufacturing boom like it hasn't seen since WWII!

The IT Skills Glitch: Level Up or Lag Behind

You've probably noticed it. That frantic search for tech talent – the data scientists, the AI whisperers, the cloud gurus, the cyber defenders. It feels like finding a needle in a haystack, right? The IT skills shortage isn't just a buzzword; it's a real headache impacting projects, innovation, and bottom lines. Around 70% of companies are feeling this pinch.

But while we often point fingers at hyper-speed tech evolution (looking at you, AI!) and education systems struggling to keep pace, there's another crucial piece of the puzzle flying under the radar: Where did all the Gen X tech workers go?

Decoding the Glitch: More Than Just New Tech

Sure, the tech landscape is morphing faster than ever. AI is rewriting job descriptions, cloud platforms are constantly evolving, and cybersecurity threats demand ever-sharper skills. Keeping up requires relentless learning, and yeah, sometimes formal training lags behind what the industry needs right now.

But add this to the mix: a significant number of experienced Generation X professionals (those born roughly between 1965 and 1980) seem to be quietly exiting the tech workforce. Why?

• The Burnout Factor: Years in high-pressure roles, coupled with the 'great resignation' ripples and the constant demand to do more with less, are taking a toll. Burnout is real – reports show around 65% of employees still feel it – and experienced pros might decide enough is enough.
• Career Plateaus & Upskilling Gaps: Maybe the upskilling opportunities aren't aligning with their career stage, or they feel overlooked for new, exciting projects in favour of younger hires. If growth stagnates, experienced talent looks elsewhere, sometimes outside tech altogether.
• Seeking Different Priorities: After decades in the industry, some Gen Xers might be looking for better work-life balance, passion projects, early retirement, or roles with less relentless pressure.
• The Experience Drain: When these seasoned pros walk out the door, they take decades of invaluable experience, problem-solving intuition, and often mentorship potential with them. This isn't just a skills gap; it's an experience gap.

Help Wanted: Today's Tech Wishlist (and Yesterday's Know-How)

The demand is fierce for skills in:

• AI & Machine Learning: From prompt engineering to algorithm training.
• Data Science & Analytics: Making sense of the data deluge.
• Cloud Computing: Expertise across AWS, Azure, GCP, etc.
• Cybersecurity: Protecting against ever-evolving threats.
• Software Development: Building and maintaining the digital world.

And let's not forget crucial soft skills: problem-solving, adaptability, critical thinking, communication. Ironically, many departing Gen Xers possess deep foundational knowledge and critical thinking skills that are the bedrock for mastering these newer specializations.

When Talent Tanks: The Ripple Effect

The impact of this combined tech evolution and experience drain is clear:

• Stalled Projects & Innovation: Teams lack the bandwidth or expertise.
• Increased Costs: Hiring is expensive (replacing someone can cost 50-200% of their salary!), and reliance on contractors mounts.
• Team Strain & Burnout: Remaining employees pick up the slack, leading to more stress and potential turnover.
• Loss of Mentorship: Junior team members miss out on learning from seasoned veterans.

Fixing the Glitch: It's Time to Adapt

So, how do we tackle this multi-faceted skills glitch? It requires a mix of strategies:

1. Embrace Continuous Learning (Seriously): Companies must invest heavily in upskilling and reskilling their entire workforce. With estimates suggesting 40% of workers will need reskilling due to AI alone in the next few years, this isn't optional. Provide accessible training, workshops, and career paths.
2. Value Experience & Combat Ageism: Don't let seasoned Gen X talent feel overlooked. Offer them meaningful projects, leadership opportunities, and targeted upskilling that respects their existing knowledge base. Ensure hiring and promotion practices are age-inclusive.
3. Rethink Flexibility & Retention: Can roles be adapted for better work-life balance? Are benefits competitive? Sometimes retaining experienced talent means adjusting the environment to meet their changing needs.
4. Smarter Recruitment: Use better tools (even AI!) to find talent, partner with educational institutions to shape relevant curricula, and broaden the net to diverse talent pools, including those looking to re-enter the workforce.
5. Knowledge Transfer: If experienced workers are planning to leave or retire, implement robust knowledge transfer and mentorship programs before they walk out the door.

Level Up or Lag Behind?

The IT skills shortage is complex, fueled by rapid technological shifts and significant demographic changes, including the departure of experienced Gen Xers. Ignoring either part of the equation won't solve it. For companies, it's about investing in their people – all of them. For individuals (Gen X included!), it's about embracing lifelong learning. The future of tech depends on bridging this gap, valuing experience, and ensuring everyone has the opportunity to level up.

Will AI Be The Death of Tech Innovation?

As a Gen X'er I got to experience the heart of the tech evolution. One thing I was being one of the biggest drivers in innovation was the curiosity we collectively had to understand how things worked, how we could make them better, or how me could make them our own. We didn't settle for white box PCs, we didn't settle for the every day version of Windows or settle for mediocre Apps. Not matter what it was we were always tinkering with settings, making changes to styles, or ripping things apart and upgrading them. 

With today's modern user friendly, or dumbed down, technology that "just works" I often wonder how or where new innovation will come from. That curiosity and drive to explore or tweak things seems to have faded away. In cases like operating system such as Windows 11 and macOS (even iOS) the drive to make them as user friendly as possible also meant hiding or restricting easy access to many settings and tweaks most of us geeks loved to tinker with. That lack of control has seemingly meant many of the younger generation have given in to the dumbed down user experience and don't bother learning the things we took for granted.

AI Takes The User Out of The Experience

With AI infiltrating almost every aspect of our lives. It feels like we are taking the user out of the equation. We are taking the fundamentals of our tech experience for granted and unlearning many of the things we once had to do on our own. We are essentially trading ease of use over practical and applicable knowledge. So with that I now ask myself is are we killing off the curiosity and drive that once pushed newer generations to create truly innovative products? 

AI is on the cusp of taking over the day to day activities and instead of learning how it works, why or how it accomplishes the things it does, we have generations just willing to accept that it is "just working" or that it did what they wanted well enough that they don't need to learn how to get more out of! So again instead of the user interacting and building their own better experience or being curious to see if they can find a better way. We see them being complacent and settling for what they have. So what does that mean for the future of tech innovation if we are willing to simply settle? 

Tech Innovation Has Become Stagnant and Stale

If we look at a few markets collectively - TVs, Cell Phones, PCs - where we once made fairly big leaps we are now stagnant in any actual innovation. TVs have certainly gotten bigger and the quality of their image or resolution has grown. We've certainly seen a transformation in how we use our TVs, but is there really an innovation there? You are now basically using them as a replacement for a PC. Cell Phones again, we are almost 20yrs into the smartphone market and short of foldable displays (tech specs and those details aside) what real innovation have we seen? 

The iPhone or Samsung Galaxy phones today truthfully don't do much more than the original devices released all those years ago. They have of course increased in size and increased in capability, maybe added a few more sensors, but that is about it. PCs have shared a similar trajectory. We were supposed to see great innovation in lower heat/power consumption, better overall performance and at lower costs. We've of course seen some major leaps in raw power (with massive increases in power consumption) but when compared to the 20yrs before we haven't seen anything earth shattering.

The question begs to be asked. Where will tech head from here and who will be the driving force to move it forward? If users are becoming complacent and not demanding true innovation and just accepting the minor upgrades we see now. The what inceptives do tech companies like Apple, Google and Samsung have to push out their truly mind blowing tech?  

Workers Clearly Hate RTO Mandates

It should come as no surprise that today's workforce dislikes having a boss or manager constantly looking over their shoulder or micromanaging their day-to-day activities. Combined with work-life balance concerns, the desire for a quieter and less stressful environment, and cost savings on commuting and childcare, many employees are resisting the return-to-office (RTO) demands of their companies. In fact, a survey of 1,000 U.S. workers revealed that one in six employees (16%) would quit if forced back to the office, while 40% believe returning would reduce their job satisfaction.

The pushback against RTO policies has taken various forms. Some workers are outright quitting, others are "quiet quitting," and still others are "coffee badging," a practice where employees make it appear as though they’ve met their in-office requirements.

According to the survey, a large portion of the younger generation would either ignore RTO requests entirely or leave their jobs rather than return to the office. Two in five employees feel that a return to the office would decrease their job satisfaction. Of those willing to return, 96% have stated they would seek carefully selected incentives to make the transition worthwhile.

The debate between remote workers and management teams has been ongoing for some time. Remote workers argue that they are just as productive and capable of completing their tasks efficiently. In contrast, management teams claim that distractions at home negatively impact the quality of work, as well as the availability and focus of remote workers. At least one recent study seems to support management's concerns.

Fortune Magazine recently reported that nearly half of Gen Z workers oppose returning to the office because it would prevent them from binge-watching their favorite TV shows during work hours. According to the article, 84% of Gen Z workers admitted to streaming shows and movies while working from home, and 53% confessed to delaying work to finish a show they were binge-watching. These findings are based on a survey of 2,502 adults who stream videos at least one hour per week.

Concerns about productivity hold some merit. Additional studies indicate that millennials and Gen Z workers are the most likely generations to engage in “fauxductivity”—a term describing fake activity to appear busy. Over 30% of respondents from these generations admitted to faking productivity, according to a 2024 survey of 3,000 full-time employees in the U.S., U.K., and Ireland.

Does this justify the distrust employers feel when they can’t closely monitor workers outside the office? Perhaps not. Many believe these trends stem from deeper workplace issues, such as professional and personal stressors, burnout, overwork, and disengagement.

What Is Amazon's All New AI Powered Alexa+ and Who Can Use It?

You may have heard that Amazon just unveiled Alexa+. The company's much anticipated next-generation digital assistant completely rebuilt with generative AI technology. What does that mean you may ask, and what does it mean for current Amazon Alexa device owners? We'll try to break that down for you below!

The basic details:

• Alexa+ can connect and leverage multiple LLMs, including Amazon's Nova and Anthropic's Claude, choosing the best model for each task at hand.
• The revamped assistant can perform complex agentic tasks like booking reservations, ordering groceries, purchasing concert tickets, and more.
• Other features include document analysis, remembering user preferences, maintaining conversation context, and integration with hundreds of services.
• It will cost $19.99 monthly but comes free with Amazon Prime membership, with early access rolling out in the U.S. next month.

Amazon is rethinking the way Alexa works with what they are calling “experts”—groups of systems, capabilities, APIs, and instructions that accomplish specific types of tasks for customers along several different connected devices. For instance, Alexa+ expands on the way you can control your smart home with products from Philips Hue, Roborock, and more. Voice controls for things like smart lighting, thermostats and other devices are said to be more natural. So, if you’re speaking in half-formed thoughts, using colloquial expressions, or exploring complex ideas, Alexa+ will reportedly understand what you mean, and respond with a natural vibe and feeling sort of like you are interacting with a person rather than Alexa's computerized response system.

Amazon said Alexa+ is designed to take action and is able to orchestrate across tens of thousands of services and devices. You'll be able to use your favorite apps to do things more directly like make reservations or appointments with OpenTable and Vagaro; explore discographies and play music from providers including Amazon Music, Spotify, Apple Music, and iHeartRadio; order groceries from Amazon Fresh and Whole Foods Market, or delivery from Grubhub and Uber Eats. You'll even get reminders for things like tickets going on sale on Ticketmaster; or alerts from Ring and other security devices if someone is approaching your house.

The new Alexa+ is designed to be highly personalized and adaptable to your life. Alexa learns from your shopping, listening, and viewing habits, as well as your shipping and payment information. But Alexa's capabilities extend beyond this: you can enhance her usefulness by providing personal details. Teach her family recipes, important dates, facts, and dietary preferences, and she can apply that information to better assist you. Imagine planning a family meal; Alexa can remember that you love pizza, your daughter is vegetarian, and your partner requires gluten-free food, and use that knowledge to recommend appropriate recipes or dining options.

What devices can customers use Alexa+ on and when can we get it?

According to their release statement Amazon has said Alexa+ will start rolling out in the U.S. in the next few weeks during an early access period, and subsequently in waves over the coming months. Priority will be given to Echo Show 8, 10, 15, and 21 device owners in the early access period. Unfortunately for those of us with older generation Echo devices like Echo Dot 1st Gen, Echo 1st Gen, Echo Plus 1st Gen, Amazon Tap, Echo Show 1st Gen, Echo Show 2nd Gen, and Echo Spot 1st Gen, we won't be seeing the upgrade at this time and will be limited to the original Alexa. You'll also be able to try Alexa+ on your web browser, the Alexa app, compatible Fire TVs, and Fire tablets. You can check-out the new Alexa+ page for more details and to sign-up to be notified when Alexa+ is available for you.

CES 2025 Is Here With AI In Everything!

 CES 2025 has officially kicked off this week with all the biggest names in tech showcasing their newest tech offerings. As expected AI is at the forefront of just about every single major announcement. With NVIDIA, Intel, AMD and Qualcomm all showcasing the latest in AI centric chips. While others such as LG Google, Hisense and TCL show off some of the newest in AI powered TVs and home theater gizmos. Not to take a back seat major auto manufactures have showed in force this year with Toyota, Volvo, BMW and others highlighting new AI integration and manufacturing advancements.  

As many expected AI has found its way into almost every device from the outrageous new personal robots. To the most mundane of children's toys. Just about everywhere you look someone is introducing a new AI powered gadget or gizmo of some sort!

Among the major announcements made was NVIDIA's CES keynote highlighting their newest RTX 50 series flagship GPUs as well as a very interesting new addition dubbed Project Digits. NVIDIA Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace Blackwell platform. With Project DIGITS, users can develop and run inference on models using their own desktop system, then seamlessly deploy the models on accelerated cloud or data center infrastructure.

As previously mentioned TV and display manufactures are looking to put AI to use in more ways than one. Google has announced they adding a slew of Gemini features to Google TV. With Gemini Google promises your interaction with your Google TV powered devices will be more natural and intuitive.  Offering things like summarized results, better search, and more total control over your connected devices. Google plans to release these new Gemini capabilities for new and existing Google TV devices toward the end of 2025.

In the auto arena Toyota took the wraps of some very ambitious projects including a move into space travel, autonomous vehicles and a very intriguing idea dubbed Toyota Woven City. This new 'Smart City" project is promised to be a hub for innovation, blending autonomous vehicles, AI and robotics

The concept of Toyota’s radical Woven City – which the Japanese automaker describes as a “test course for mobility” – was initially revealed in 2020. Now, five years later, the company says the first phase of construction is complete and ready for launch later this year.

It wouldn't be CES of course without the addition of tons of other gadgets. And it looks like there are plenty of those to choose from. The folks at ZDNET found everything from smart rings, to door locks. And did we mention the robots? It seems as though there is a robot for just about everything these days!

AI Use Increases in Healthcare

 

AI: The Doctor Will See You Now (Virtually)

The Rise of Artificial Intelligence in Healthcare

We're living in an age where technology is rapidly changing every aspect of our lives, and healthcare is no exception. Artificial intelligence (AI) is no longer a futuristic fantasy; it's actively reshaping the medical landscape, offering innovative solutions to age-old challenges. From diagnosing diseases to developing new drugs, AI is proving to be a powerful tool in the hands of healthcare professionals.

How is AI Transforming Healthcare?

• Early and Accurate Diagnosis: AI algorithms can analyze medical images (like X-rays and MRIs) with incredible accuracy, often detecting subtle anomalies that might be missed by the human eye. This leads to earlier diagnoses, faster treatment, and improved patient outcomes.

• Personalized Treatment Plans: AI can sift through vast amounts of patient data, including medical history, genetic information, and lifestyle factors, to create tailored treatment plans. This personalized approach ensures that patients receive the most effective care possible.

• Drug Discovery and Development: AI is accelerating the process of drug discovery by analyzing complex biological data and identifying potential drug candidates. This not only speeds up the development of new medications but also reduces the costs associated with research.

• Robotic Surgery: AI-powered robots are assisting surgeons in performing complex procedures with greater precision and minimally invasive techniques. This leads to faster recovery times, reduced complications, and improved patient satisfaction.

• Virtual Assistants and Chatbots: AI-powered virtual assistants and chatbots are being used to provide patients with 24/7 access to medical information, schedule appointments, and even offer basic medical advice. This improves patient engagement and reduces the burden on healthcare providers.

The Future of AI in Healthcare

The potential of AI in healthcare is truly vast. As technology continues to evolve, we can expect to see even more innovative applications emerge. AI could play a crucial role in:

• Predictive Healthcare: AI algorithms could analyze patient data to predict future health risks, allowing for proactive interventions and preventive care.

• Remote Patient Monitoring: AI-powered devices could monitor patients' vital signs and health conditions remotely, providing real-time data to healthcare providers and enabling early detection of potential problems.

• Mental Health Support: AI-powered chatbots and virtual therapists could provide mental health support and counseling to individuals who may not have access to traditional therapy.

Challenges and Ethical Considerations

While the benefits of AI in healthcare are undeniable, there are also challenges and ethical considerations that need to be addressed. These include:

• Data Privacy and Security: Ensuring the privacy and security of patient data is paramount. Robust security measures must be in place to protect sensitive information from unauthorized access.

• Bias and Fairness: AI algorithms are only as good as the data they are trained on. It's crucial to ensure that these algorithms are free from bias and that they provide fair and equitable healthcare to all patients.

• Job Displacement: The automation of certain tasks may lead to job displacement in the healthcare sector. It's important to address these concerns and ensure that healthcare professionals are adequately trained to work alongside AI systems.

Conclusion

AI is revolutionizing healthcare in ways we could only have imagined a few years ago. By embracing this technology responsibly and addressing the associated challenges, we can unlock its full potential to improve patient care, accelerate medical advancements, and create a healthier future for all.

FBI Issues New Warning Over Rise In AI Generated Scams

 The FBI Warns: AI is the New Weapon in a Scammer's Arsenal

We've all heard the warnings about online scams, but the game is changing. According to the newest warnings issued by the FBI criminals are now using cutting-edge generative AI to supercharge their efforts, making their schemes even more convincing and harder to spot.

The FBI has issued a public warning about this growing threat, highlighting how AI is being used to create incredibly realistic but completely fake content. Think:

• AI-Generated Text: Forget clunky emails full of typos. Scammers are using AI to write perfect messages, crafting believable stories for romance scams, investment fraud, and phishing attacks. They can even use AI to create fake social media profiles and websites that look totally legitimate.
• AI-Generated Images: Need a profile picture for that fake dating profile? No problem! AI can generate realistic images of people who don't even exist. It can also be used to create fake IDs and even manipulate images to use in sextortion schemes.
• AI-Generated Audio and Video: Imagine getting a call from a loved one in distress, begging for money. Except, it's not actually them. AI can clone voices and create realistic videos, making it incredibly difficult to tell what's real and what's not.

So, how can you protect yourself in this new era of AI-powered scams?

• Be extra vigilant: Don't trust anything at face value. Double-check everything, especially if it involves sending money or sharing personal information.
• Look for imperfections: AI-generated content can be incredibly realistic, but it's not perfect. Look for subtle clues like distorted features in images or unnatural pauses in audio.
• Establish a "secret word" with loved ones: This will help you verify their identity if they contact you in a crisis.
• Limit your online footprint: The less information you share online, the harder it is for scammers to use AI to create convincing fakes.
• If in doubt, verify: Hang up the phone and call back using a verified number. Don't click on links from unknown sources.

The bottom line is: stay informed, stay alert, and don't be afraid to question anything that seems suspicious. And if you do fall victim to a scam, report it to the FBI's Internet Crime Complaint Center (IC3) at www.ic3.gov.

Google's AI-powered Theft Detection For Android Phones Is Here

Back in May 2024, Google teased a new Theft Detection Lock tool for Android phones, that promised to keep your device and data safe in the event some swipes your phone and takes off with all your personal info in tow! Starting this month, these advanced theft protection features will be available to users around the world through Android 15 and a Google Play Services update available to Android 10+ devices

These new theft detection tools use the devices on board sensors coupled with powerful AI to proactively protect you and your phone at the moment of a theft attempt. By using your phone's gyroscope and accelerometer and on-device machine learning, Theft Detection Lock is able to analyze various device signals to detect potential theft attempts. If the algorithm detects a potential theft attempt on your unlocked device, it locks your screen to keep thieves out. 

The anti-theft detection tool is one of several security additions Google announced earlier this year to protect your data "before, during and after a theft," including: 

• Making it more difficult to factory reset a phone and set it up under a new account 
• Private spaces to hide sensitive apps 
• The ability to mark your phone as lost on Find My Device for easier tracking 
• Automatic lock for excessive failed authentication 
• The ability to lock your phone if it's offline 
• Remote lock, which lets you lock your phone's screen using just your number and a quick security challenge

One new featured added to Remote Lock many will find useful is the ability to quickly lock and secure your phone even if you can’t remember your Google account credentials in the moment of theft. Now you can use any device to visit Android.com/lock and lock your phone with just a verified phone number. Remote Lock then secures your device while you regain access through Android’s Find My Device – which lets you secure, locate or remotely wipe your device. As a security best practice, we always recommend backing up your device on a continuous basis, so remotely wiping your device is not an issue.

Turn on Theft Detection Lock right now

To enable theft protection features, you’ll have to perform the following steps: 

1. Set a password for your screen. It’s the only way to lock the phone if it gets stolen. 
2. Then Go to Settings 
3. Tap Google 
4. Tap All Services 
5.  Select Theft Protection 
6. Turn on Theft Detection Lock once it’s available on your device 

  ** Note on my Samsung phone it is under Security and Privacy > More Security Settings > Theft Protection

Hollywood Suddenly Embraces AI

In a complete 180-degree U-Turn from everything that Hollywood has said they oppose about AI and everything they spent years on strike fighting against, one studio (at least) is now fully embracing AI systems and programs.

Lionsgate, the studio behind blockbusters like "John Wick" and "The Hunger Games," is taking a giant leap into the world of AI-powered filmmaking. They've partnered with Runway, an AI research company, to develop a custom AI model trained on Lionsgate's massive library of films and TV shows.

What will this AI do, you may ask? Imagine a tool that can generate cinematic video, helping filmmakers visualize scenes and experiment with different creative options. This AI model will do just that, assisting with everything from pre-production (think storyboarding and concept art) to post-production (enhancing visual effects and more).

Why is this a big deal?

Aside from being a fundamental shift from everything Hollywood has said they were against, as well as being a fundamental shift in the creative process, the move will position Lionsgate at the front of a new era. Whether we like it or not, GenAI is going to be forced on us, and the creative process is going to be changed. This new partnership marks the first time a major Hollywood studio has teamed up with an AI company in this way. While it may be the first, I'm sure there will be plenty more, and I'm sure it signals a potential shift in how movies are made, with AI playing a larger role in the creative process.

Just a few short months ago Hollywood was trying to convince us that "Generative AI Won’t Be on the Big Screen Any Time Soon!" It looks like that has changed and changed rather abruptly! Music and movie studios have already shown they are willing to use a singer or actors voice and their likeness through overlays or 'de-aged' characters. With this move we may see a major shift!

What Comes Next For Studios and AI?

Lionsgate is distancing itself from using these new tools to fully re-create actors or generate new characters. The company has said it believes these tools will help filmmakers and other creatives “augment their work” to deliver “capital-efficient content creation opportunities.” AI, in other words, could help cobble together more movies and shows with lower investment costs for highly expense things like explosions or other background effects. This according to statements made by Lionsgate founder Vice Chairman Michael Burns during an interview with The Wall Street Journal,

So for now iIt looks like this particular model will steer clear of generating AI “clones” or replicas of actors. They want us to believe it will primarily be used as a tool to enhance and augment existing projects. I guess we'll have to wait and see how quickly that position changes!

Securing the AI Revolution: A Collaborative Effort

The rapid evolution of artificial intelligence (AI) presents exciting possibilities but also demands a strong focus on security. At Intel, the decided to take these challenges head on teaming with developers and adopters in safeguarding AI technology while navigating a complex landscape of guidelines and standards. Intel, along with other industry giants, believe in the power of collective action to address these challenges and ensure that security remains a top priority.

Intel Joins Forces with the Coalition for Secure AI (CoSAI)

Intel's CEO, Pat Gelsinger, recently unveiled a strategy for open and scalable AI systems at Intel Vision 2024. To further this vision, Intel joined the Coalition for Secure AI (CoSAI) as a founding member. CoSAI aims to equip practitioners and developers with the tools and guidance needed to build secure AI systems from the ground up.

This collaboration is a significant step for the industry, uniting leaders from diverse fields to develop and share comprehensive approaches, best practices, and methodologies for secure AI development and deployment. CoSAI's initial focus will be on software supply chain security, preparing defenders for evolving cybersecurity threats, and establishing AI security governance frameworks.

Prioritizing Security and User Protection in the AI Boom

The demand for AI is skyrocketing, and so are the security risks. As we have seen this week with the CrowdStrike outage cybersecurity is still evolving to keep up. It would seem with the widespread impact of thi outage that demand is far outpacing the current capabilities of some vendors and cybersecurity systems and experts. CoSAI  hopes that with a focus on protecting AI systems from attacks, ensuring their transparency, and building trust with users they will be able to prevent future situations like we have today. 

Unfortunately, we are already seeing hackers utilizing AI systems in taking advantage of the CrowdStrike outage chaos. They are setting up AI generated websites and portals, using realistic AI generated email for spear-phishing attacks and as CrowdStrike itself warned on their own blog post  hackers are even impersonating CrowdStrike employees in scam emails and phone calls, even selling bogus software purporting to fix the glitch.

As AI systems evolve and become even more prevalent, we are going to need groups like the CoSAI working with teams from Intel, NVIDIA, Microsoft, Google and others to do their due diligence! 

Will AI Finally Bring About the Automation Revolution

Growing up during early ages of the tech evolution of the 80's and 90's all we heard was the concern that technology and automation was going displace jobs and replace workers. Faster forward a few decades later and what we see today is that technology has been used more as tool to accompany workers and increase their productivity rather than as a replacement. The same can largely be said about robotics and full-scale automation. 

With the rise of AI however, we are once again hearing the alarm bells sounded, with more people believing that AI will soon replate many workers and many jobs will be lost to this newest technology. So is the newest threat to jobs actually going to replace everyone or will we see the same happen that we have seen over the past 30-40 yrs with the technology being an accompaniment rather than an all out replacement?

AI vs. Previous Tech Waves: Is This Time Different?

The fear surrounding AI isn't unfounded. Unlike past technologies, AI systems are designed to learn and improve, potentially taking on tasks that were once considered the exclusive domain of human intelligence. This includes everything from writing creative content to analyzing complex data, even diagnosing medical conditions.

But it's crucial to remember that history often rhymes, if not repeats. When personal computers first hit the scene, many predicted mass unemployment for secretaries and typists. Yet, these roles evolved. Instead of simply typing, administrative assistants took on more complex tasks, leveraging technology to increase their efficiency. 

The Potential for Augmentation

A similar scenario may unfold with AI. Rather than replacing workers entirely, AI could augment their abilities. Imagine a doctor using AI to analyze medical scans, freeing up time for more patient interaction. Or a marketer using AI to generate initial drafts of content, leaving them to focus on strategy and refinement.

This shift towards augmentation could create new opportunities for workers who embrace AI as a tool. Those who adapt and learn to work alongside AI systems will likely find themselves in high demand.

The Challenge of Adaptation

Of course, this rosy picture of AI-powered augmentation isn't guaranteed. The transition will undoubtedly be disruptive, and some jobs may indeed disappear. The key is to focus on adaptability.  

Governments, businesses, and individuals need to invest in education and training to equip workers with the skills needed to thrive in an AI-powered world. This includes not just technical skills, but also critical thinking, problem-solving, and creativity – the very skills that AI currently struggles to replicate.

A Cautious Optimism

The question of whether AI will usher in an automation revolution or simply augment the workforce is still up for debate.  However, by drawing lessons from the past and focusing on adaptation, we can navigate this new technological wave with cautious optimism.

AI has the potential to be a powerful tool for progress, not just a threat to jobs. By embracing its possibilities and preparing for its challenges, we can ensure that AI serves to enhance human potential, rather than diminish it.

In Conclusion...

The future of work in the age of AI is uncertain, but it's far from bleak. The alarm bells are ringing, but they may be a call to action rather than a death knell. By learning from history, investing in adaptation, and fostering a mindset of collaboration, we can shape a future where humans and AI work together to create a more prosperous and equitable world. 

**Note  Ironically portions of this post were edited and augmented with Google Gemini AI

Are External AI Accelerators Coming Soon?

A couple years ago several companies introduced external GPUs. Portable boxes that held a top end GPU that could run the latest games on your small form factor PC or your otherwise under-equipped none gaming PC. They could be used on just about any PC to add in gaming or graphics  power without the need for a new build or major upgrade. With the need for today's computers to keep up with the draw of AI computing will we soon see add-on or scalable external AI Accelerator Box becoming the new thing?

The fundamentals of on-device AI computing are easy enough to understand. You put an NPU, AI ready GPU ect into a device and you are reasonably set. Most new laptops and desktops will come with these chip integrated. However, the need to add AI computing power to older machines, without a large scale upgrade, might be the next big draw. Much like add-on GPUs having a stand-alone AI Accelerator NPU might be a great solution.

Think of it this way, you own a PC or laptop that is a few years old and instead of buying something brand new you add on an external NPU or even GPU box the size of a standard portable hard drive. You instantly boost your computing power and/or graphics power. Now add to that you could potentially be running them in tandem and multiply your base computing power exponentially based on whatever configurations you have! You become your own distributed computing system running everything from one machine. You can then take those same devices and run the same level of computing from your laptop, work PC or possibly even your phone! 

Unlike a normal PC with an AI Accelerator Box you won't have to continuously upgrade. Rather you scale your computing power based on each new AI Box you add or swap out. Your base footprint would still be less than a single high end desktop, but with exponentially more compute power!

We do have a few solutions similar to what I'm suggesting today. ADLINK Tech has a portable NVIDIA RTX GPU and companies like Zotac still have their external GPUs. However, none of these offer the true scalability and raw AI processing power that I'm talking about. Eventually I believe well see some true standalone Intel or AMD based AI accelerator chips in external boxes setup for running as a daisy chained system.

What Are AI PCs? A Brief Explanation

Before I start with the explanation below I'd like to say that I believe that AI (artificial intelligence) as we are defining it today is not what most people envision as true 'artificial intelligence.' I look at it more as an augmented intelligence, one that uses your own interactions and those of users like you to generate best case answers, images, videos ect. We've been using the same software, same search algorithms, same voice commands, same pretty much everything for several years now. We never called it AI before because of the marketing strategy. Today we are just now seeing the marketing hype behind those same tools that have been learning our habits for years (I won't get started on the privacy issues here).

AI PCs - Intel's New Marketing Term

To put this simply the term AI PC is an Intel derived marketing term that requires specific Intel hardware and standards to apply. This doesn't mean that other PCs or devices can't run AI or that they aren't AI ready or AI chip equipped. So don't be confused here! 

Intel has stated that for a PC to receive the coveted "AI" label, it needs four things: a neural processing unit (NPU), a graphics processing unit (GPU), and the ability to handle Vector Neural Network Instructions (VNNI) and DP4a instructions (so that the GPU can handle video processing)  In other words what Intel is saying is that in order for them to call a new computer an AI PC it must be one with their latest CPU.

 

What is AI Ready and AI equipped

When it comes to slapping the AI ready label on things these are the few small things to know. AI apps and tools are currently used in two different ways. The difference between the two and how you are using them is really the difference in hardware requirements and what is needed. Basically any PC, smartphone, tablet or device can access and use cloud based AI.  On device generative tools require much better, more efficient hardware and that is were some of the confusion starts for most people.

One of the easiest ways to explain the hardware is to say the modern CPU as most people know it has become extremely outdated. New software changes take advantage of and use the GPU and a new NPU (secondary chip) to do the heavy work. These are both considered AI accelerators, deep learning processor, or neural processing units (NPUs). They have been specifically designed to accelerate artificial intelligence and machine learning applications and algorithms. (More on the differences here)

Tools like ChatGPT, Google image generator Gemini, or Microsoft CoPilot are all cloud based and do all their work in a cloud based system. This allows EVERY device to utilize AI because all the work is done by other, much more powerful systems, that then send the results to your PC or phone. This will soon change however as Intel has confirmed CoPilot and other applications will soon run locally on PCs and require better hardware to do so. 

PCs meeting those requirements are already shipping and other devices like the Apple iPhone, Google Pixel 8 and Samsung Galaxy phones are already using secondary more AI specific NPU chips for on-device AI.

In conclusion - don't be confused or fooled!
I'm writing this post I'm really hoping to take some confusion out of buying or upgrading your systems and hope that people aren't fooled into think they have to run out and search only for an AI PC to run their newly hyped apps. Yes newer hardware will eventually be required, and yes it only makes sense to adopt that hardware if you are already upgrading. No, that doesn't mean you will be left out if you don't!

Will AI Monetization Stifle Innovation?

Nearly a full month into 2024, and it's evident that this year is poised to be the "Year of AI," with virtually every aspect of our lives touched by AI in some form or another. However, as we witness the rapid development and subsequent market integration of AI, potential drawbacks are emerging. The two most significant hurdles seem to originate directly from tech giants.

AI Consolidation

Towards the end of 2023, major tech players such as Amazon, NVIDIA, Microsoft, and Google made significant moves to expand their AI portfolios, consolidating smaller companies under the umbrella of their massive enterprises. For instance, Amazon invested $4 billion in the startup Anthropic, while Google secured a $2 billion stake of its own. While these moves provide startups with the capital needed for growth, they often result in the acquiring companies exerting too much control over the projects, hindering their progress.

The desire to quickly monetize and grow a company, followed by potentially selling off the team's hard work, often leads to issues down the road. Companies like Amazon, Apple, and Google tend to absorb acquired ideas and software, which may either get shelved, completely reimagined, or fall by the wayside as companies explore other, potentially more cost-effective options.

While some acquisitions have led to great innovations, such as Apple incorporating features like Siri from the 30+ AI startups it acquired over the last decade, other instances, like Google shuttering numerous programs, showcase the potential pitfalls of consolidation.

AI as a Service and Pay-Walling

While consolidation poses challenges to development, the more significant concern lies in the tendency to place AI tools behind paywalls or offer them as subscription services. Companies naturally seek to monetize their AI tools swiftly and effectively. For instance, Microsoft already offers its AI tool Copilot as a subscription service, and Amazon reportedly plans to introduce a paid Alexa service, "Alexa Plus," featuring premium features.

Running these programs, developing infrastructure, and staying ahead in terms of development are costly endeavors for large companies. While pay-walling premium features is not a novel approach, consumers generally resist being forced to pay for tools they are already using. In the realm of new technology and the push for expanded integration and adoption, subscriptions may not be the most effective means to align consumers with corporate plans. If consumers push back against adoption, some otherwise promising companies might face setbacks.

Big Tech Control Playing Big Brother

One area I haven't really discussed is big tech and government level control. We are already seeing governments around the world  looking at regulations and attempts at controlling or slowing AI adoption. Historically speaking rapid progression of technology hasn't been the best thing. We've made some big mistakes over the years. Generally big tech has played big brother of sorts and held back quick rapid releases of new technology. Hint there are things they have now you still won't see for yrs because of costs Where this control and controlled slow releases may be warranted. The down side is if we attempt to slow adoption in one area we inevitably kill off competition and innovation in another!

If government regulation is overly strict it puts undue pressure on start-up companies and keeps them from the market. If they aren't strict enough then we see top tier companies effectively being the key-holders and keeping innovation out (or in). We end up putting in place too many barriers and true innovators suffer the consequences!

My Conclusion

From my background in the tech sector and the work I've done over the years I see the term AI as much more of a marketing term right now than anything else. People overlook that Siri, Alexa, Google Search ect are all essentially AI. For me personally I think the term as we currently use it Artificial Intelligence, really is a misnomer. I think Augmented Intelligence is far closer to what we currently have rather than the average person thinks of AI  (which is mostly a theatrical movie style computer driven intelligence).

I feel that if we see our current systems going to SaaS (subscriber or pay-to-use) we'll see consumer blow-back and companies will have to rethink their programs. I believe people are already starting to wake up to over utilization of the AI label and the market saturation of the term! My hope is companies keep an even keel on this and let the tech progress naturally. Hopefully smaller companies and individual developers are lost in the shuffle!

2024 IPOs Are Coming, Will We See a Boom or Bust

Just a few of the IPOs expected are; Reddit, Discord, Skims, Stripe, Shein, Panera, and Liquid Death (amongst about 50 more top names). IPOs over the last few years have had some mixed results and unfortunately some of these may see the same downturns.

First off, we are seeing a draw back from the tech sector. So many of these tech related companies might be a tough sell on Wall Street. Several major players have been selling off real estate and downsizing work forces. We have also seen many major startups failing all together.

Secondly, many of the companies expected to go public are already cash strapped and are only making the move because they need to capital. While this is normal, it also indicates that they may not be on a solid foundation. A major negative for Wall Street players looking for long term growth potential.

On the upside, most of these brands carry major 'sentimental' up-value. Meaning investors will grab a hold of them because they are who they are. The question we'll see answered, really quickly, is if that brand recognition will hold value and those IPOs pay off the way these companies hope!

 As an investor and Techie it will be interesting to watch what happens. Some of these tech companies directly impact my daily life as I'm a member of several of their sites. We are already seeing push-back  from Reddit developers seeking more money or a share of the value add their work has given the company. Once the money starts flowing we may see a major negative push! Fingers crossed for any early investors!

Google Play Now Lets You Play [Some] Mobile Games on Your PC

For those of you that love your mobile games but hate being tied to that small screen, Google has just launched a new offering that will allow you to explore and play mobile games on your PC or laptop.

Google Play Games Beta allows you to experience bigger, bolder versions of select mobile games on Google's gaming platform for PC.You can use your mouse and keyboard to gain agility and boost your performance and accomplish a few more feats in games than you might be able to just using you phone.

 As this is in beta only there is currently a short list of games that you can enjoy - you'll see many of your favorites like Angry Birds 2, Asphalt 9: Legends, Jackpot World - Slots Casino and Rise of Empires: Ice and Fire. While the list might be short, for now, it does offer plenty of options to test out. However, those that might want more option might want to checkout Bluestacks (see our previous post). This cool little app allows you to run almost any Android app and isn't limited t just games.

AI Regulations and Why Companies Welcome Them

As the adoption of AI, more directly generative AI, we see more companies calling on the government to step in and step up with regulations. For some this seems counterintuitive. Why would an AI company seek regulation in their own industry that would slow down adoption of their tools right? There are two schools of thought on this.

• Companies are truly concerned that their tools are being used for nefarious activities (scams, hacking cheating ect)
• Companies are concerned that the pace of the market means they will become irrelevant before they can make a market impact

As much as we'd like to think that tech companies are altruistic. Historically speaking, this hasn't been the case. So while some of their calls to action might be rooted in a desire to steer things down the 'right path' it is more likely that they are worried about their massive investment and potential returns.

The AI movement/generation is very quickly becoming what the DOT-COM era was. Startups are hitting amazing valuations and being gobbled up by the big boys in tech. Amazon recently spent 4b investing in AI Startup Anthropic. While Google, NVIDIA, Apple and others are not far behind. If AI continues to evolve at the pace it is now, many of those investment could be outdated and loose overall value well before they produce something that is marketable.

As a comparison Siri was first released in 2011, Alexa in 2014 and both are precursors to the large language models we see rapidly advancing today. It too more than a decade for their widespread adoption. Whereas ChatGPT broke into the market this past year and set off a firestorm and created a free for all in the market and development space. So while we are seeing companies actively petition for some government oversight, what we aren't seeing is those very same companies exhibiting a measure of self control!

 

Related Articles

https://epic.org/the-state-of-state-ai-laws-2023/

https://www.nature.com/articles/d41586-023-02491-y

https://techcrunch.com/2023/09/11/the-ftc-is-setting-its-sights-on-generative-ai/