I don’t think is fair to compare Asian and German cars. I personally dislike Asian designs regardless of how reliable and efficient they are. Subarus are objectively ugly cars and they are not great as daily drivers. Lexus offer a closer driving experience as German cars, meaning you can have both a sporty and family car without the annoyance of a sport ride and noise of a WRX. But is still very Asian looking with the sharp angles, ugly headlights and large grills.
If you are looking for luxury performance and can’t afford a Porsche or Ferrari but don’t want to look on a budget driving an Atlas or a Genesis then you only have BMW, Audi and Benz. The latter usually doesn’t appeal to under 60 except for AMG which is out of budget, so your decision always ends between Audi and BMW. They offer a different driving experience IMO, so if you are a beemer guy ads won’t deter you from buying one.
FIFA controls the largest event, so it should be the driving force for revenue but it’s not. But even if you add UEFA the whole thing still less profitable than an American professional and barely surpasses hockey. By the way, UEFA crying about this while they are the owners, regulators and revenue distributors is pretty crazy. It seems to me they are more concerned about not being able to hop on the FIFA deal themselves.
The UN is a poor analogy. The UN does not operate a large commercial business like FIFA which exploits the World Cup, Libertadores and other events. The only strong similarity they have is their non profit status. You should have used the IOC as analogy.
That’s part of their poor commercial vision. Even the World Cup brings less revenue than one season of the NBA. Doesn’t even make sense to compare it with the NFL.
The most beloved, most watched sport in the world making less than the American/Canadian hockey league is a commercial failure. Non profits are generally inefficient at running businesses. With the right guardrails a private arm that knows how to run a business could help FIFA make a ton of money. And yes a lot of rich guys will become even richer too, so what?
Why is this out of the gate bad? Note that this is not taking FIFA to private equity, but creating an investors owned subsidiary to run events and commercial operations where the non profit arm will still own 80% of it. With the right protections it could help FIFA make more money and reinvest in the sport, particularly women’s football. FIFA currently makes 40% of what the NHL makes, not the NFL, not NBA. Soccer is by far the most popular sport on the planet, the fact that it makes a lot less money than hockey is insane.
Why 25% and not 12% or 40%? Is this an arbitrary vibestimate or you had some tests done that pointed you to 25%? I am genuinely interested in how others deal with context issues. Also I would think the usable context window is variable depending on the task, for example summarizing documents vs analyzing large, scattered and complex instructions.
One positive aspect of a camera like this is that it forces you to slow down. Because you can’t take 10 frames per second hoping to get some keepers, you become more intentional when shooting. I took a photography class where we were asked to cover the LCDs with cardboard, so that you couldn’t get an immediate feedback and slow down a bit. Another trick is to format memory cards so that they can only store a few exposures. Going slow sometimes is a good thing.
What’s blocking Anthropic from fighting Chinese companies abusing their services? Why go nuclear against all open weight models? Testing and compliance is technically banning.
But this isn’t new. Government overreach has been a long recurring pattern throughout US history literally since we were born as a country. John Adams, Thomas Jefferson, Lincoln, Woodrow Wilson, FDR, et al, exercised powers and authoritarian tactics that shocked their contemporaries just as much as Trump is doing today. Not using history as an excuse, just to point out that this is a feature of US politics not a bug. We have managed to remain a free society for 250 years despite all the horrible, anti democratic sometimes barbaric things our leaders did, because 1) every generation got organized to defend civil liberties and 2) our “system” was cynically and explicitly engineered with competing centers of power, among other things, under the assumption that every single leader would eventually try to grab power.
We do have some bipartisan initiatives, it’s just that they are not news worthy. Take for example the initial push for banning TikTok. It had unprecedented bipartisan support.
I don’t think we can objectively say software is getting worse. I don’t expect an appliance website, a car infotainment system and a banking app to be the beacons of software quality and user experience. All those things would probably suck at any point in time.
There was an article by Vercel on how ineffective tool calling is compared to just a single md file with clearly defined instructions. They showed a clever way on how to use compressed indexes. My experience with tool calling was similar to what Vercel described, and I spent hours trying to perfect it. Since reading Vercel’s findings, Claude.md and Agents.md, maybe a Project.md it’s all I use.
That switch will actually take a few months, technically speaking. What may delay it is manufacturers strategizing to avoid oversupply and trying to minimize their loses from all the investment in tooling they cannot longer repurpose. It will be a logistical and financial nightmare for them too.
As an enthusiast photographer I use the 3-2-1 backup strategy. If you are not familiar with it, it simple means keep 3 copies of your data, 2 of them on different media and 1 off site. The off site copy is usually the problem because the options are either online or at a secondary home or family/friend’s place. If you only have one home like in my case, you have to either trust family and friends with copies of your data, or just pay an online provider. I find the latter more secure and convenient. But I agree with the author, no one should have a 1-0-0 strategy, let alone online-only.
The math looks good on paper, but in reality enterprise AI is hard, most companies are realizing they are actually not seeing ROI from AI. One of my customers took about 8 months to rollout an AI initiative that by the time it launched and people got trained on it, it was already legacy. Also if you are 10x more productive with AI that doesn’t necessarily increases your billable output. There could be some super models like Mythos aimed at very specific hard tasks like drug development, but we have not seen any of that yet, and the clock is ticking.
If hyperscalers flop, and there’s a good chance they will, memory and disk prices will crater. They are historically the most volatile asset in tech. If Samsung, Micron et al can’t sell to hyperscalers they will switch back to consumer, because they can’t just turn off a memory fab without losing billions.
The current commitment by hyperscalers is around 1.7T USD, reported liabilities 1.3T and this year global debt related to AI is 570B. So that’s around 3T total. For this to make sense AI must generate 2T in new revenue per year by the end of the decade. And that would be only a 10% ROIC. For context ROIC for big tech is around 35% so at 10% they will be barely breaking even. The SP500 gives 10-12%. With 10% ROIC from AI the only thing investors will be celebrating is that the whole thing didn’t trigger a financial crisis. Data centers are NOT real estate. Buildings and power lines usually last 30-50 years. GPUs become obsolete in 5 years. If hyperscalers need to refinance and their interest rate goes up there’s zero margin for error.
I currently work for a federal contractor including the DoD as their customer, using Wordpress as their main website. You would think there’s no sensitive information there, but some times all it takes is enough information about someone and their team to impersonate that person and gain access to an email thread, file sharing system or even an access card to a building. Never underestimate incompetence.
Yes, all corporations have their obscure interests and don’t profit from being ethical. But we can also agree there’s a distinction between companies like Enron, Purdue Pharma, Meta, Lehman Brothers, Flock and Apple, Walmart, Verizon and Ford. They are all unethical to some degree, but the first group actually conspired to commit terrible crimes or are borderline criminal. We don’t know yet where OpenAI belongs to but it’s looking more and more like they want to join the first group.
Not to mention with each iteration of every model you get lower cost per token. It’s really a race to the bottom for hyperscalers and neoclouds at this point, with technically only two paying customers.
I went through a two month long fight with AWS over a compromised account. I lost 20K even when my previous usage for the last 3 years was like $20/month, and I had more invoices coming worth tens of thousands of dollars. AWS refused to help until I stopped the breach myself, which required me to spend several all nighters after work learning how to script for AWS infra. They also refused to close my account after the breach was under control. They asked me to sign a shared responsibility agreement before they could look at my case, which I refused to do. I finally contacted the AG office in my state and they email AWS directly. In less than 24h I had a AWS manager calling me to fix my account and issue a refund for the 20K. Still, they refused to close my account after all this ordeal, apparently there’s no way for you to completely get out of AWS once you are in. It’s the shittiest business ever.
I got a 20K bill once and it was actually drafted from my bank account. It took me a couple of months and involving the office of the AG of my state to get the issue resolved and get my money back. Since then I never touched any AWS product, moved my small stuff to Azure. It’s been years since AWS have these issues with billing, you can find the stories online, students billed 60K for a compromised account launching servers to mine crypto which AWS somehow was unable to flag and block, and let run for months.
I think LLMs, with only a few exceptions, have mostly created the illusion of value. It’s undeniable I can write code, troubleshoot and document much faster than in the pre LLM era, but putting a dollar value to that it’s not particularly easy. One group of people being 100x faster at one task doesn’t mean the organization as a whole runs at 100x the speed, in fact in most cases where the bottle neck is somewhere else, the productivity gains of the 100x group have little to no impact, or even a negative impact in some cases due to token overspending.