AI TACO
LOL Don has already TACOd about AI model Type Approval.
https://pin.it/1qkDBUm97
269 publicly visible posts • joined 6 May 2019
Abtruse logic, spagetti code, non-existing documentation - all ensure eternal job security of coders in overstaffed tech companies, which is to say, almost all tech companies going by the Old Silicon Valley Jungle Saying "A well run tech company is 2X overstaffed; a badly run tech company is 4X overstaffed". No wonder there's so much technical debt in software in the first place. More power to AI to flesh it out and refactor the code so that tech companies are finally able to cut their deadwood and take their MSV accomplishments to the next level.
+100. I wanted to become a programmer 45 years ago because it was the cool thing to do. I took coding courses in BASIC, FORTRAN, PASCAL, COBOL, etc. as a part of my engineering degree three years later. I found coding to be a major PITA and hated it. Glad AI coding tools are now available to free human beings from the drudgery of coding and still be able to build and release apps.
Totally agree. When I started working 40 years ago, my big boss told me, "Nothing free has any value". While FOSS and VC Subsidy have somewhat blunted that saying in the following decades, I'm not surprised that the FOSS movement is coming around to realizing that it cannot be expected to provide sustained value for free forever.
I've seen a chatbot button in every McKinsey article I've read in the last few months. Whenever I've clicked it and asked questions, Lilli has answered them. When it can be accessed by the public à la ChatGPT and provides output based on McKinsey's research and reports, I'm not sure if this can even be called a hack of Lilli / McKinsey.
69% of businesses currently use AI. 20% of businesses see discernible impact from AI. For a technology that has been around for just three years, those percentages are great. IME of working in the B2B technology space for 40 years, I haven't seen better adoption or ROI numbers for any previous Wannabe Revolutionary Enterprise Technology - e.g. ERP, Web, Mobility, Cloud, Metaverse, Blockchain - at a similar stage of its product lifecycle.
Well said. IME of seling B2B technology for 40 years, I don't know too many companies who have publicly reported ROI for any enterprise technology in Year 3. The other day, I read here that over 60% of ERP implementations fail - this is 30 years after ERP went mainstream. Anybody who expects public data on ROI for Enterprise AI anytime soon is living in la la land. At this point, adoption and usage is all that counts, and, on that count, AI is rocking.
There's no pure hardware any longer. Nowadays, many servers have lightweight software that controls the hardware, either only at installation or even on an ongoing basis. And that software can never be FOSS. It has to be supplied only by the hardware manufacturer. Using that software, it's quite possible for hardware vendor to brick the customer's server. It's somewhat like an HP printer throwing all kinds of tantrums when you use a non-HP ink / toner cartridge. Or a GE fridge bricking the fridge if you use a non-GE filter.
American company Nvidia coined the buzzword "AI Factory". The two leading companies in the world that sell "AI Factory" are American companies Dell and HPE. When they say they can't achieve digital sovereignty under public cloud providers Amazon, Microsoft and Google because they're American companies, question is, how can they achieve digital sovereignty under private cloud providers Dell and HPE, who are also American companies?
USA has a long history of weaponizing its currency and technology against Rest of World. Trump is not the first POTUS to do so, he probably won't be the last POTUS to do so. The necessity for self-reliance has always been there. The question is of capability. Let's see how the self-reliance movie plays out this time.
In the late 90s, a leading tech analyst started all its keynote presentations with a slide titled "RIP ERP" to emphasize the role of Internet. As the Marketing Manager of an ERP company, I had to do something about it. The concept of doing business via the Internet was just gaining traction and somebody invented the term eBusiness aka eBiz. We simply changed the name of our product's category from ERP to "eApplications". It worked! After a couple of years, everybody went back to calling it ERP, and so it has been until now. Going by my experience on that instance, I propose renaming ERP to "ERP.ai". I'm sure it will work until everybody goes back to calling it ERP after a couple of years.
In my small company, whatever little money I invested in genAI paid back for itself last year. Giants are reporting the same now: $2B in benefits on $2B in investment in AI in the case of JPMC. While genAI will not take over everything in an enterprise, it has many use cases that can deliver - or have already delivered - productivity boosts.
+1. I'm neither European nor old enough but that was the first thought that struck me when I read the said last name. On a side note, you might want to consider filing a class action lawsuit against the said Ministry of Education for deficiency in education and tempt the same Ms. Stasi to represent your class!
"Forrester said it expects a number of businesses to "quietly rehire" employees that were given the elbow in the name of AI efficiency."
When I was in Germany in the early 2000s, I noticed an overabundance of tattoos and tattoo parlors. When I asked my German coworker about this, he wryly remarked "Tattoo removal will be one of the 10 hottest jobs in 10 years". Not sure how his prediction aged in 2010-5. But, going by reports of massive amounts of technical debit and slop in AI-generated code, I'm boldly predicting that "AI code removal will be one of the 10 hottest jobs in 2035".
In my 40 years of selling B2B technology, I can't think of a single gamechanging technology that has delivered ROI within three years of launch. ERP has been around for 50 years. I can't think of too many companies that have publicly acknowledged that they've received ROI from implementing ERP. All this talk of ROI of AI is lame and betrays ignorance of how enterprise technology works. End of the day, all that matters is whether AI sells. And it does. Even companies who have said they were not impressed with their AI pilots are buying more and more AI e.g. UK Government:
"Ignoring the ROI skeptics and threat of an AI bubble, the UK government is pushing ahead with backing a raft of AI projects it claims could benefit from red-tape cutting." ~ https://www.theregister.com/2025/10/23/uk_ai_regulations/.
Somebody sued Oracle and Salesforce for EUR 10 billion in ca. 2016 for GDPR violation for a very similar data sharing case, albeit without AI. A Dutch court dismissed the lawsuit in 2022.
https://gtm360.com/blog/2024/11/27/b2b-data-sharing-by-saas-ai-whose-data-is-it-anyway/.
Let's see what happens to the next GDPR violation lawsuit, if and when one gets filed.
"Shaky foundations mean that AI value is hard to determine too, says Cisco".
I've been selling B2B technology for 40 years and value has been hard to determine for virtually every major technology during this period e.g. ERP, CRM, Web, Cloud, Mobility, Blockchain. This is due to several reasons: (1) Technology does not have value e.g. Blockchain? (2) Technology has great value for some companies and not so much value for other companies e.g. ERP (3) To measure value, company needs BEFORE-AFTER metrics. While AFTER metrics are easy to collect, BEFORE metrics are not so easily available. That's because of the very "shaky foundations" that existed BEFORE and which companies are trying to fix by deploying the new technology. In other words, if the foundation was great, companies wouldn't need to deploy the new technology at all e.g. AOTA.
"Most Scientists Use AI But Question Its Usefulness".
Yeah right. Like "Nobody goes there anymore because it's too crowded".
These scientists are just exhibiting symptoms of Upton Sinclair Syndrome: "It's difficult to get a man to understand something when his salary depends on his not understanding it".
"Microsoft has laid off over 15,000 people. The funds Microsoft is saving from all its ex-staffers are helping to pay for Microsoft's spending $75 to $80 billion on its AI CapEx this year."
Assuming the average TC of a Microsoft employee is $250,000 p.a., the total savings from firing 15000 employees works out to $3.75B. How will that even begin to pay $75B for AI CapEx? If the devs I'm paying $250K suck so badly at maths and logic, I'd happily pay $100K to replace them with AI.
I had a quick glance at https://www.microsoft.com/en-us/windows-365/business/compare-plans-pricing. The cheapest plan for Windows 365 Cloud PC is $31/mo. My current ThinkPad cost me $530 and I've had it for 10 years, so the monthly price works out to less than $5/mo., which is 6X less than Cloud PC (without even adding the price of the thin client device that I'd still need in order to use CloudPC). Even by the standards of Gartner, this seems to be height of delusion!
"The search giant is putting advertisers' ads within or directly above and below AI Overviews themselves." Screenshots of a few examples would help. Personally, I have never seen an ad above or within a Google AI Overview box. While I've seen tons of ads right on top for ad-intensive search keywords like "smartphone", "digital camera", etc., I have not seen any AI Overview for them.
"These risk factors skew conservative and are an indicator of corporate consciousness about external factors affecting the business world, more than a carefully calculated analysis of urgent pending threats."
Kudos to S&P 500 corporations for taking Matt Levine's "Everything Is Securities Fraud" theory seriously, and initiating CYA measures against the growing risk of being sued by activist investors for securities fraud based on any and every one of their actions, including absence of any actions.
Did USA stop EU from developing the ethos of speed and risk-taking? If EU companies had indexed on speed and risk-taking, they might have overtaken American companies in AI. Nobody but the "slow and steady" culture of EU should be blamed for EU losing the AI race to USA (if it has lost it). But, since I don't expect too many people in EU to accept that, I'm guessing we'll see yet another exhibit of what seems to be the charter principle of EU: "Build Nothing, Regulate Everything".
Well said. As I keep saying, only 20% of startups succeed but 100% of startups provide employment and pay salary. IMO this 5:1 ratio between fruits of unearned success and real success is the real reason why everybody incuding politicians keep talking up startups.
OpenAI may have a point. Anyone who remembers Google Search Appliance would know that this Enterprise Search product flopped largely due to challenges around enterprise data like quality, privacy, confidentiality, silos, and so on. I'm seeing AI facing the same challenges in gaining adoption in the enterprise now. On the flip side, AI itself might help solve those challenges - because AI can do everything! - which Enterprise Search could not but, OTOH, bad quality data can cause more damage to AI / genAI / Agentic AI initiatives as compared to Enterprise Search ones. Let's see where this falls.
"Even if rideshare companies are charging iPhone users more, it’s not going to impact most Indian citizens because feature phones and low-cost Android handsets dominate the local market." Moot point since "most Indian citizens" are not in the Target Group for Uber / rideshare companies. At most, their TG is the Top 10% - and everyone in that 140M segment of the population surely has smartphones including iPhones. JFYI, Apple iPhone is the largest selling smartphone brand in India by value. And, among Top 10%, which is the real relevant target audience in this context, Apple might have a sizeable market share even by volume (I'm guessing 20-25%). So the alleged discriminatory pricing is not all that insignificant a topic.
"Uber and Ola responded to the CCPA probe by denying they use differential pricing." Rideshare price depends on time and location. Even if the price readings on the two phones were taken at the exact same time, they can't have been taken at the exact same GPS coordinates.
"But that didn’t satisfy Joshi, who in an answer to a parliamentary question said the matter had been sent for further investigation." Until rideshare companies came along around 10-15 years ago, auto rickshaws and black-and-yellow taxis never collected nor remitted sales tax / service tax / GST to Government of India. Uber, Ola et al do. Accordingly, rideshare companies have provided an additional source of tax revenue for GoI. Safe to assume that the alleged discriminatory pricing will boost the topline of Uber / Ola and, accordingly, GST revenue of GoI. OTOH govt has duty to consumers, OTOrH govt has vested interest in higher revenue of Uber / Ola, it'd be interesting to watch how this inherent conflict of interest gets resolved.
First Salesforce, now Workday - tech company after tech company is reducing programmers and increasing sales reps. Both due to AI. Proves what I've been saying all my life: Sales is the smartest, most value added, and least automatable function in a company. No wonder it earns everybody's salary.
I registered for DeepSeek 3 days ago. I got a message saying "We're subject to malicious DoS attacks and are going slow on approving new users". I've still not received the email verification code required to login. Then Alibaba announces Qwen that it says outperforms DeepSeek. I'm beginning to wonder if DeepSeek is a serious AI product or a psy op for High Flyer / CCP to short the US markets and rake in a cool half a trillion bucks in one day.
As a supplier for 40 years, RFPs tend to include pretty granular level of details from senior and operating management people. Where things go awry is when expectations fail to materialize during the actual implementation / delivery e.g. CEO wants to change a few things in the new software and, prior to purchase, is confident of getting the operating level people to accept them. But, when the supplier fleshes out the full impact of the change, rubber hits the road. Then there are tons of dependencies with other programs running concurrently elsewhere in the organization. So on and so forth.