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Can or should AI be constrained?gettyIs it urgent that we step up regulation of artificial intelligence? Thats the view of Geoffrey Hinton, considered the Godfather of AI, who took the opportunity at his recent acceptance of the 2024 Nobel Prize in Physics to sound warnings on the unfettered AI wave sweeping our world. Hes calling on governments to develop stronger regulations to guide AI development and deployment, and companies to fund greater AI safety initiatives, as reported by the University of Toronto.The question is, when it comes to regulating or moderating AI development, how much is too much? What do we need to understand? AI risks are real and need to be addressed, but they are application and use-case specific, Jake Parker, senior director of government relations for the Security Industry Association, told me. Lawmakers should take a technology-neutral approach to regulation and ensure the most stringent requirements apply to truly high-risk applications based not on how AI technologies work but how they are used, Parker urged.There is potential for overreach and unintended consequences in trying to broadly constrain a still-nascent technology, Parker cautioned. Rushing too fast to regulate broadly in such a complex and dynamic field would be a mistake. Getting it right is more important. Overly broad legislation could potentially draw in and limit everyday uses of narrow AI if not carefully crafted.In many ways, this is not the first time we have encountered the question of regulation versus innovation. "I would argue that these concerns are neither unique nor specific to AI these are rather challenges addressed widely by other regulations, said J-M Erlendson, transformation engineering lead at Software AG. Its the specific zeal with which regulators approached the AI problem that is itself an issue."In addition, regulations meant as AI guardrails would likely be more detrimental to smaller businesses and startups than larger establish companies. Most large-scale AI-focused organizations would have shuffled the compliance challenges off to their existing compliance departments, Erlendson pointed out. This would have left the biggest relative burden on the shoulders of startups and early-stage organizations. Meta puts another cost-line on the books, while three-engineers-in-a-garage call it quits I dont think that was anyones intention.MORE FOR YOUStill, there are issues both ethics and practical concerns with AI that need to be acted upon sooner than later. AIs impact on data privacy and the use of data are not matters that can put off until later, said David De Cremer, dean of the DAmore-McKim School of Business at Northeastern University and author of The AI-Savvy Leader.The key is well-targeted efforts and regulations to keep AI safe and fair. Regulations regarding smaller, specialized AI models would make more sense because it is those models that bring the most harm and threats such as models for deepfakes that are creating misinformation, De Cremer said.Erlendson would like to see a greater emphasis on enforcing existing data and intellectual property regulations. That takes, first and foremost, transparency, both on the training data and the connection between training input and model output, he said. Companies need to know the boundaries of development to effectively mitigate the risk of this new technology, while leveraging its many specific benefits in targeted use cases.Liability for the issues or harms that may arise with AI usage is also an open question that needs to be settled. This is particularly visible in the case of copyright protection if the model is learning from - and replicating copyrighted works, transparency can detect and report on violations and provide a framework for legal action, said Erlendson.We need to more precise on defining who is liable when new tech is made available and what their liabilities are, said De Cremer. Who is liable if the AI models violate privacy rights, copyrights and so forth? We need clearer definitions of liability and better guidelines on where the responsibilities lie for developers, businesses transitioning the tech into business and society, and businesses and organizations deploying the tech.There is a self-regulatory aspect at work as well businesses want to avoid the risk of extending too far with AI. They avoid working with AI models that are black boxes and even for AI experts todays LLM models are all black boxes, said De Cremer. This means that most companies mainly use supervised ML models as they do not want to run any risks towards their customers. The most recent AI models are thus not being used in businesses and customers are not being exposed to them either.Ultimately, this self-regulation stems from customers comfort with AI. Concern about AI safety to date has focused on development of newer models in the future, which businesses are not using anyway, he added. It will take some time before that happens. Remember the most advanced AI models are never simply transferred from the lab to the company, there is always significant time between that.

Blackwell is the word for Nvidia as the AI leader heads into 2025, with multiple configurations and a mid-year upgrade (B300/GB300) for its new powerful GPU set to ramp significantly over the next few quarters. As recapped to the I/O Funds premium members after its Q3 earnings report, the I/O Fund is tracking multiple supply chain signals indicating Blackwell sales will likely far exceed the GPU sales we saw in 2023 and 2024 combined to the tune of bringing Nvidia to $200 billion in data center revenue.Analysts are already increasing their forecasts for Blackwell shipments for Q4 and for Q1, with forecasts for 250,000 to 300,000 shipments in Q4 nearly tripling to 750,000 to 800,000 in Q1. This compares to previous views seeing Q4 shipments of 150,000 to 200,000 ramping to 550,000 in Q1. This suggests Blackwell revenue estimates for Q1 are already moving 40-60% higher, potentially driving positive revenue revisions throughout the year as it becomes Nvidias primary GPU product.SANTA CLARA, CALIFORNIA - MAY 30: An exterior view of the NVIDIA headquarters on May 30, 2023 in ... [+] Santa Clara, California. Chipmaker NVIDIA reached a $1 trillion market cap at the open bell of the NYSE on Tuesday morning. The company is forecasting second quarter sales of $11 billion, 50 percent higher than analyst estimates of $7.15 billion. (Photo by Justin Sullivan/Getty Images)Getty ImagesNvidia has tailwinds in 2025 from increased pricing power with Blackwell, output and shipment estimates already rising before the ramp begins, AI capex still quickly growing, and GPU clusters starting in the 100K range where Hopper maxed out, even as competition from AMD, Broadcom and others begins to increase.Nvidia also has the benefit from the end of its fiscal year early next year, with the Street soon looking to 2026 numbers which very well could be too low given the signals Blackwell is already giving. At the moment, Nvidia is trading at just 30x 2026s estimated earnings of $4.43, its cheapest bottom line valuation since shares were $95 in May 2024 and Blackwell still holds the potential to drive quarterly revenue beats the same way Hopper has and with margins returning to Hoppers highs.The bigger picture for Nvidia moving forward is that Blackwell holds the potential to dwarf Hopper, and the I/O plans on keeping its members informed on what it sees ahead for Nvidia with frequent updates for members. With that in mind, heres what the I/O Fund sees as 2024 ends and 2025 begins.MORE FOR YOUNvidia Technicals: A Swing Higher In the CardsNvidia appears to be setting up for the next swing higher. As long as any further weakness holds over $116, this move should target between $165 - $173, with the potential to reach as high as $193.If this swing gets confirmed, it would likely be the final 5th wave in the historic uptrend that started in October of 2022. This does not mean that the technicals do not support significantly higher prices, it only means that Nvidia will first have to deal with a notable correction in both price and time before it sees those levels.The pattern off the October 2022 low developed as a classic 5 wave pattern. In early 2024 price went vertical. This was accompanied with max volume and peak momentum. This is the standard pattern seen in 3rd waves, and it tends to be the most powerful part of a 5 wave pattern. From the perspective of sentiment, this is the part of the trend where everyone realizes at once the direction of the trend. Shorts cover at the same time as the crowd buys, creating that standard pattern in 3rd waves.This would mean that the correction in June of 2024 was the 4th wave, and that this is likely in the final 5th wave higher. The sentiment pattern in 5th waves to new highs in price, but on lower momentum and lower volume, which is what is happening now.Nvidia appears to be setting up for the next swing higher. Source: I/O FundZooming into the 4th wave correction that started in June of 2024 offers a better idea of the two potential paths that I am currently tracking.Zooming into the 4th wave correction that started in June of 2024 gives a better idea of the two ... [+] potential paths that I am currently tracking.Source: I/O Fund Blue The final 5th wave is playing out as an ending diagonal pattern, which is common for 5th waves. This type of pattern is a 5 wave pattern in itself that is characterized with large swings in both directions. Our target zone for the bottom on this 4th wave is $126 - $116. If Nvidia can push over $140.75, then then odds favor this scenario. Red Nvidia is in a much more complex 4th wave. If this is playing out, NVDA would see the $116 level break, which opens the door to a potential low at $101, $90, or $78.One final point worth mentioning is how the broad semiconductor sector is performing in relation to the S&P 500. Semiconductors tend to be much more sensitive to the consumer, and economy than most sectors. For this reason, in periods of economic expansion, semiconductors tend to lead, outperforming the broad market.However, when this sector starts to move against the broad market, it tends to be a warning that volatility is ahead. In fact, every time that the semiconductor sector has made a lower high while the broad market made a higher high i.e., semiconductors do not confirm the move higher this preceded some period of volatility since the 2021 top.When semiconductors start to move against the broad market, it tends to be a warning that volatility ... [+] is ahead.Source: I/O FundThis pattern can be seen going back to 2000 and consistently warned of weakness. As of now, this is one of the largest and longest periods of divergence between the semiconductor sector and the broad market on record.If the broader semiconductor sector stays below its July 2024 high, I would consider this a warning. This does not mean that I do not see potential upside, it only means that any long positions the I/O Fund takes will have strict targets at which we take gains and stops to protect us in case the market turns against us.ConclusionMake no mistake, Nvidia is the best stock of the decade and its only four years in. The I/O Fund has an aggressive buy plan at key levels should the stock pull back, and we have a backup plan should the stock overcome the peer pressure we are seeing from the semiconductor industry and meaningfully breakout.Nvidia has been our largest position for the last 4 years. The I/O Fund sent out nine buy alerts to our readers to buy this position below $20 in 2021 2022. The I/O Fund believes the future is bright for Nvidia, and believe the potential next swing is worth playing. However, with all the warning signs, any new long position will have strict risk controls until these warnings reset.The I/O Fund is also closely analyzing the supply chain to identify overlooked beneficiaries of the AI infrastructure buildout, sharing this information as well as potential buy and sell plans and real time trade alerts with premium members. The I/O Fund recently entered two separate beneficiaries for gains of 23% and 17% since November. Learn more here.I/O Fund Portfolio Manager Knox Ridley and I/O Fund Equity Analyst Damien Robbins contributed to this report.If you would like notifications when my new articles are published, please hit the button below to "Follow" me.

KitchenAidThe holiday season is the perfect time to make a few upgrades in your kitchen, and Walmart has an offer thats going to be hard to refuse. The KitchenAid 3-Speed Hand Mixer, originally sold for $50, is down to a more affordable $35 following a $15 discount. Were not sure how much time is remaining before this bargain ends, but like all KitchenAid deals, were expecting stocks to sell out quickly. Add the kitchen gadget to your cart and proceed with the checkout process as soon as you can to secure the savings!Stand mixers are extremely useful, but if you want something space-saving and less expensive, then you should go for a hand mixer. KitchenAid is one of the best brands in both categories, so you cant go wrong with the KitchenAid 3-Speed Hand Mixer. As its name suggest, it offers three different mixing speeds that you can easily switch between using a sliding button. From mixing nuts and chocolate chips into dough on the lowest speed to whipping egg whites on the highest speed, the KitchenAid 3-Speed Hand Mixer has the right setting for any task in the kitchen.The KitchenAid 3-Speed Hand Mixer comes with two Stainless Steel Turbo Beater attachments that you can easily remove with the press of a button, so you can pop them into the dishwasher for easy cleaning. The hand mixer also features a lockable swivel cord to make sure that it doesnt get tangled up while you mix.RelatedThe KitchenAid 3-Speed Hand Mixer is on sale from Walmart at $15 off, so youll only have to pay $35 instead of its sticker price of $50. If you need this gadget in your kitchen, dont waste any time in taking advantage of this offer as it may be gone as soon as tomorrow. Theres no telling when the stocks that are up for sale will run out, so move forward with your purchase of the KitchenAid 3-Speed Hand Mixer while you still can. You may also want to check out these Vitamix deals for blenders and Keurig deals for coffee makers, for additional kitchen upgrades.Editors Recommendations

In a recent blog post, Google announced that it is making it easier for admins to migrate from Microsoft Teamsto Google Chat to reduce downtime. Admins can easily do this within the Google Chat migration menu and connect to opposing Microsoft accounts to transfer Teams data.Google gave step-by-step instructions for admins on how to transfer the messages. Admins need to connect to their Microsoft account and upload a CSV of the Teams from where they transfer the messages. From there, it requires just entering a starting date for messages to be migrated from Teams and clicking Star migration. Once its complete, itll make the migrated space, messages, and conversation data available to Google Workspace users.GoogleGoogle also reassured users that the Chat migration doesnt erase or change any existing Google Chat spaces or messages. Admins can also run a delta migration that lets you migrate any messages added to Team channels since the first transfer. If you notice any missing text, you can also create a report detailing what messages the transfer skipped or those that failed or had warnings during the process.Recommended VideosGoogle aims to make the process as easy as possible, saying: Were expanding our data migration experience to include the ability for Google Workspace admins to migrate conversations from channels in Microsoft Teams to spaces in Google Chat, making it easier for organizations to on board and deploy Chat. Google confirmed that the feature is available now, but specified that its in its beta phase. This means its still developing and testing the process, so errors can be expected.Editors Recommendations

Chris Hagan / Digital TrendsWere still in the middle of the rollout of Apples M4 chips, but today we got our first big peek at its successor, the M5. The report comes from reliable analyst Ming-Chi Kuo, who posted on X today and spilled some juicy technical details about whats coming.The M5 family of chips will be manufactured on TSMCs N3P node, the next step up from the N3E on the M4. Kuo says the new node entered the prototype phase a few months ago, but its the first time were getting three generations of chips in a row that use the 3nm node.Recommended VideosThe M5 Pro, Max, and Ultra, specifically, will use server-grade 2.5D packaging, with the explicit purpose of improving production yields and thermal performance. This will allow the CPU and GPU to use separate designs, which is a major change from previous generations that use a conventional system on chip. Kuo also mentions that these high-end M5 chips will be better suited for AI inferencing. Apple M5 series chip1. The M5 series chips will adopt TSMCs advanced N3P node, which entered the prototype phase a few months ago. M5, M5 Pro/Max, and M5 Ultra mass production is expected in 1H25, 2H25, and 2026, respectively.2. The M5 Pro, Max, and Ultra will utilize https://t.co/XIWHx5B2Cy (Ming-Chi Kuo) (@mingchikuo) December 23, 2024RelatedTheres a lot we dont know about in terms of exactly how these changes will affect the end product, but clearly, Apple is giving its higher-end chips some new capabilities and featuresThe timeline provided by Kuo doesnt deviate from previous generations, with the M5 kicking things off in the first half of 2025, followed by the M5 Pro/Max in the second half. Lastly, the M5 Ultra is scheduled for 2026. This would return the most powerful Mac desktops to a yearly update cycle after having skipped the M3 Ultra.Were still waiting on the M4 Ultra, of course, which is scheduled to pop up in a refreshed Mac Studio and Mac Pro sometime in 2025.Editors Recommendations

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