Warranty data is a great example of where LLMs have evolved bureaucratic data overhead. What most people do not know is because of US federal TREAD regulation Automotive companies (If they want to land and look at warranty data) need to review all warranty claims, document, and detect any safety related issues and issue recalls all with an strong auditability requirement. This problem generates huge data and operations overhead, Companies need to either hire 10's if not hundreds of individuals to inspect claims or come up with automation to make this process easier.
Over the past couple of years people have made attempts with NLP (lets say standard ML workflows) but NLP and word temperature scores are hard to integrate into a reliable data pipeline much less a operational review workflow.
Enter LLM's, the world is a data gurus oyster for building an detection system on warranty claims. Passing data to Prompted LLM's means capturing and classifying records becomes significantly easier, and these data applications can flow into more normal analytic work streams.
No they just had a great quarterly earnings report that day. Try to put the absolute minimal effort into checking the obvious before you revert to conspiracy.
I am not a fan of their initial "Global Income Distribution" curve. if you take the actual data at the bottom of the article and plot it; it does not make anything the resembles a standard distribution as portrayed. It could be an infographic, it could be different axis, who knows, but portraying a standard distribution is wrong if you have an outlying skew in your distribution. Everything under $40 is a standard distribution, but above $40 represents the same volume of people as the average skewing any sort of plotting.
I wish these numbers were percentile relative to the local economy and not in made-up "international dollars."
It means absolutely nothing that 1.1B people live on $3-5/day and a different 1.1B live on $5-7. Can you survive in the local economy on $2/day? Then $4/day is not that bad, and $7/day is doing pretty well.
I'm no international poverty economist, but I imagine lower income relative to neighboring countries would still have some effect. For instance, if a poor country suffers a famine in its staple crop, can that government and its citizens afford to import food?
That’s a fair criticism but given how the economy has globalized, people also exploit that discrepancy by hiring remote workers abroad so it’s not completely irrelevant
Well written. Coming out of college years ago Gartner was a whole section of review during my business courses. Working with Data for years now I have become hyper sensitive to this keyword grift; Big data, Data lake, Datalakehouse, realtime-analytics, no-code, data model, data schema...etc. People lean so hard on certain words as if they mean they are doing something different or unique. You work in one product in your company, then you bring someone who has experience in another product and they remark "But product X cannot do XYZGrift" but it can, people hang on these keywords as though they are platform actions or enablement that exist only there.
Rambling, but to get to the point, AI in general will strip this SEO/Marketing/Boomer catch phrasing, and build the common language which I appreciate greatly. I can go to ChatGPT or Claude and ask it I want to Foo this Bar with these filters, doesn't matter if its SQL, Python, Unix, Alteryx, Tableau... whatever, it digest the request without the fluff and responds commonly.
To stack on this info hunting or product research with AI is also typically less full of fluff for me. I don't have to deal with a sales engineer saying how wonderful their ML product is when I know its garbage immediately, I can just move on and assess the rest of the product.
The only value I can still see in Gartner is their customer survey information, but I am sure someone or somehow AI will scrape the forum post for all these products and weight the products community feedback about its product.
It seems every generation will have this arrogance for their first ten years on the job. Then the next generation will declare them to be outdated dinosaurs and repeat the same mistakes in slightly changed form.
It's really funny how the younger people are creating derogatory terms about older people. It's also applied to people who actually aren't baby boomers, too. And they're repeating this, because the title of the article had it in the sub-title [1], and I found it off-puting. But hey, I'm just a sensitive old person.
Maybe need to expand their DEI trainig.
[1] "swyx recognizes $IT as a visionary short in the DX Tips Magic Quadrant of Boomer Relics That No Longer Make Sense"
As a non-sensitive old person and engineer, I find it hard to defend Gartner - it’s basically an organization devoted to propagating hype. FOMO as a service, essentially. “Boomer Relics That No Longer Make Sense” is a good description. Whether younger generations will be smart enough to reject it is another question. Middle and upper management are its own distorted thing separate from boomers.
>"...we are looking at it, we are looking at him, and he better watch out, because that's not a protected speech. That is threatening the lives of our law enforcement officers throughout this country."'
wild statement from the person who went to law school, but threw out everything they learned.
I see little to no difference between this, Waze, helmet* taps, or flashing your high beams to other cars when passing the cops. That topic in general has been in court multiple times, and every time the ruling was in favor of it being considered freedom of speech.
Retaliation against free speech is completely normalized at this point. Primarily this administration has gone after large targets (recent Paramount case, the universities) and symbolic targets (students, a mayoral candidate). The circle of targets is going to continue to expand. Soon enough everyone’s speech will be tightly controlled under an AI-powered surveillance apparatus.
> That is threatening the lives of our law enforcement officers
It sounds like he's suggesting the app is intended as a way to target officers for assassination or something? That does seem like it might make a difference if it were true, but it also doesn't really seem like the intent of the app at all.
thanks.
and yikes! I've been a motorcycle rider for over a decade, many thousands of miles, now on my 3rd bike -- and somehow I'm just now learning this.
> wild statement from the person who went to law school, but threw out everything they learned
Trump pardoned felons who attacked law enforcement on January 6th. Bondi has no credibility calling out anyone for endangering law enforcement. If a Democrat were to match Trump’s rhetoric, they’d be promising pardons for anyone who physically assaulted ICE. They’re not. This entire shitshow is posturing.
Disclaimer: I despise this administration, and think ICE should be abolished.
I would assume they mean that cops have a general duty to prevent/catch crime. So all you're doing by notifying people with waze or head taps is saying "hey there's police there!" Which everyone has a right to know.
However, because ICE is specialized, warning people of their presence might be seen as more akin to attempting to warn someone that their house is about to be raided by the FBI
I was told a story when I was younger (take it with a grain of salt I cannot find anything to corroborate it). The British embassy use to offer (maybe still does) "Tropical" pay for individuals stationed in temperate climates. Washington D.C. was considered a tropical location for years because of the notorious swampy and muggy conditions experienced in the warmer seasons. Stationed diplomats knew of this hazard/tropic pay and wanted to keep it, and when leaders would come to visit they would exasperate the conditions by turning off the AC. One year some time in the 80's they forgot to turn off the AC during a prime minister visit, and at that point the tropical pay was revoked.
Also fun fact they also have a Pub in the basement of the embassy.
This seems to have been urban legend. I think that embassy staff might have been entitled to a bit more vacation. Unfortunately, I can't offer any source--it would have been a publication in the Washington area.
Why would you want to vibe code a whole python server setup when someone already made this that you can just plug and play? Id understand if you need a lot of different features, but to me this is neat and ticks a lot of boxes.
This article is covering two different topics and trying to make it seem like one thing that it is not...
1. GM is using an ML model for their "torque management" which is a fancy of of saying a linear feel pedal.
2. This new generation of ecu has more encryption... every new generation of GM ecu has more lockouts.
The author alludes to how tuner will not be able to beat GM's torque mapping controls with aftermarket tuning. Sure... but often times turners are not targeting the drivablity mapping of an OEM tune, they are targeting fuel, ignition, and or boost mapping to compensate for better fuels, more VE (turbos), or other power adders.
TBH on flagship sports cars, we are on the knifes edge of optimizations for most platforms; most aftermarket solutions are now just lop-siding the maximized "any condition" performance OE's seek for simply more power. Power that typically will sacrifice either low end, drivability, and or reliability. The sweet spot for performance tuning now a days exist in the middle range of vehicles for most manufactures where engines are not focused on their ultimate tuning potential VS reliability.
This all being said, these torque management strategies are nothing new, GM is just using fancy math blocks within their ecu that can account for more inputs and a higher resolution. Modern standalone ecus like Emtron and Motec utilize these types of torque strategies to better pair with modern high end transmissions like the 8hp90 and DL800. These transmissions need to communicate with the ECU to ensure power delivery from the engine works with shifting performance and clutch engagement.
OEM's are still worried about emissions, aftermarket tunes are not.
For example, enabling power enrichment at less throttle opening will improve performance and allow you to run a little bit more timing, but also increase hydrocarbon emissions.
There is the big one - OEMs have to meet mandated emissions regulations and governments check (see VW). Aftermarket legally has to meet the same regulations, but in practice (at least so far) they mostly have not been checked, and if they are checked it is only after they have sold something and got it installed on a car, while OEMs get checked before they sell anything. Which is to say aftermarket is generally just trading power/fuel efficiency (often both) for worse emissions.
Look at Holley aka Dinan aka APR. They are a publicly traded tuning company. The aftermarket tuning they offer meets emissions standards while still offering better performance than OEM. So yes they are not "legally" required, they still do it to meet state and national laws and to avoid toe stepping.
Yes the little guy tuners don't really care about NOX emissions guidelines mostly because they have no way of measuring the difference their tunes may produce. At the end of the day most OE emissions systems will catch these emissions, and pretty much all aftermarket tuners do not endorse removing emissions systems. to say a tune, or aftermarket parts result in worse emissions is not really the truth. to say the end user removing their cats or emissions systems results in worse emissions is true.
A few years ago all the chip your truck billboards I saw were about removing the EGR value for more power, so they for sure were endorsing removing emissions systems. Though this was about diesel engines and I understand the EPA cracked down on those hard a few years ago. Perhaps the only tuners left put some effort into emissions.
Absolutely, in the past some tuning companies had no issue recommending removing emissions equipment, but then standards and laws changed and most if not all companies complied. Banks power is a good example of a diesel tuner who does not advise on removing EGRs.
In the area of emissions management aftermarkets have found symbiosis. Not only has there become aftermarket manufactures of higher performing both in emissions and performance catalytic converters (G-Sport by GESi). But alot of tuners acknowledge that engine performance can be improved with a well catalyzed exhaust system.
This is a double edge sword problem, but I think what people are glazing over with the compute power topic is power efficiency. One thing I struggle with home labing old gaming equipment is the consideration to the power efficiency of new hardware. Hardly a valid comparison, but I can choose to recycle my Ryzen 1700x with a 2080ti for a media server that will probably consume a few hundred watts, or I can get a M1 that sips power. The double edge sword part is that Ryzen system becomes considerably more power efficient running proxmox or ubuntu server vs a windows client. We as a society choose our niche we want to leverage and it swings with and like economics, strapped for cash, choose to build more efficient code; no limits, buy the horsepower to meet the needs.
Over the past couple of years people have made attempts with NLP (lets say standard ML workflows) but NLP and word temperature scores are hard to integrate into a reliable data pipeline much less a operational review workflow.
Enter LLM's, the world is a data gurus oyster for building an detection system on warranty claims. Passing data to Prompted LLM's means capturing and classifying records becomes significantly easier, and these data applications can flow into more normal analytic work streams.