To me, the fact that you can configure your "GF" sounds very creepy. No real person is always happy, positive, or understanding. Especially for people with poor social skills, this sounds like it would just exacerbate their problems and make it more difficult for them to connect with humans.
Would you run the LLM extractor across every page? Especially for larger scale projects, such as scraping entire product catalogues, this sounds very expensive. Maybe you could use the AI to generate selectors from examples that can then be applied to all other pages of the same structure?
Are there even similar solutions available commercially? Even at a size of JPM, I highly doubt that they would develop such a complex system in-house. Also, for any high-skill job, I feel such an "activity metric" is utterly useless and not correlated with value contributions.
I think it's unrealistic to expect a multi-national government funded organisation to offer a commodity service at a competitive price. With all the conflicting national interests and bureaucracy that come with this funding model, how should they compete with much leaner, commercial organisations that are only responsible to their shareholders? But does it really matter? If the main objective of the Ariane Group is to offer Europe independence by providing access to space, I think that’s worth a premium.
If older techniques work for you, there is of course no reason to switch to LLMs besides general curiousity or to explore what's possible already. That said, in my case I was enable to generate much more engaging text summaries of tabular data using a Llama derivative.
In my experience, the threshold to be useful is much lower than GPT-3.5. These smaller models can "easily" be finetuned to achieve a comparable performance on a specific task. For example, I've achieved promising results for data summarisiation and image captioning (BLIP2-based) using Alpaca.
Also, server/hardware costs are still a limiting factor for running and finetuning the larger 33/65B Llama models. Especially, if they can only be used for personal toy projects.
In the long-term, I doubt that OpenAI will have a monopoly on LLMs. We're still very early in the development, and I don't see why other organisations, won't be able to catch up. The instruction-tuned LLaMa versions already look very promising, even with rather small & low-quality data sets. Compared to other technologies, the investment-requirements for LLMs still seem to be relativly low and something a number of companies or governments are able to finance.
Why not have both? Earlier in my career, I was very invested in my job as well and didn't mind working 12h+ as I was learning a lot. And I think this mindset really helps to progress quickly. But at some point, it just became unsustainable. I still love my job but also my personal life outside of work.
I think the problem for most people is that we simply don't have many opportunities for these type of interactions at a certain point in life. Also, why do you need to have deep conversations before going out on a date? If there is physical attraction and some shared interests, what's the harm of meeting for some drinks?
For me, it always comes down to genuine self-esteem. Someone's fashion style, physic, or facial symmetry really doesn't matter if they have no confidence in themselves.
I think the problem is when you start trying to get away with doing less than what you're paid for. For example, taking short cuts, hiding issues, or neglecting other responsibilities. In many roles, this would probably work for quite a long time but create massive long-term issues for the company.
Well, you should care about it because laws apply to you whether you agree with them or not. So, at the end of the day both you and your employer will have to cover those costs. But nobody is preventing you from moving, you just might have to quit and look for a new job.
For some people, focusing on good grades can be a fun and fulfilling student experience as well. I believe this highly competitive environment made me a lot more resilient to stress and taught me to manage my time effectively. If not at uni (when most people have few other obligations), when else should you learn this?
Not having much LinkedIn experience for applying, how could a candidate make sure that they fit a job spec? Is it just based on the skills you put in yourself?
Wait does this mean I could setup my own seller account and send empty boxes of slow moving, high value ASINs to Amazon Warehouses and then order them from myself? Assuming that other sellers keep sufficient stock of real products, I should have a good chance of receiving one of those, right? And it would probably take quite a while until this scam is detected.
Even the Pope had to keep Michelangelo focused on the Sistine Chapel and not wander off to work on his tomb.
Not that it matters in this context but wasn't it the other way around? Didn't Donato Bramante try to sabotage Michelangelo by convincing Pope Julius II to give him the Sistine Chapel comission, assuming that Michelangelo would fail (due to his lack of experience in fresco painting) and ruin his reputation in the process?
So Donato Bramante was more a consultant recommending an overpaid design agency hoping to benefit from their failure.
Isn't this just a new way to pay for already existing options? Instead of paying the full cost in advance, you can spread it over the product's lifetime, and once the car gets resold, the new buyer can "configure" it as they prefer.
Payment providers are already selling this information for marketing purposes. I'm sure policy makers and central banks could already get much more detailed insights if they want to.
Maybe not technically but if the US or EU would ban any business activities related to crypto currencies, the entire ecosystem would collapse. Even if they continue to exist for black market purposes, their real-world usefulness would decline substantially.
Early into the pandemic, I was experimenting with an Elgato Cam Link as an alternative to a webcam. However, I never got the setup to work reliably with MacOS and MS Teams (e.g., random disconnects). Has this changed over the years and become a good solution suitable for daily usage? Currently, I'm using a Logitech Brio with two video lights; the quality isn't amazing but at least everything works out of the box.
For me, thinking about potential deliverability issues is just too stressful. Even if it works 99% of the time, who knows how important the remaining 1% of emails will be. Personally, having control over my own domain is a good-enough middle ground.
In the UK, opening a bank account is a very simple process even for refrugees. They only need a passport and proof of address (e.g., tenancy agreement). If you use one of the challenger banks, you can do everything from your phone and receive your debit card in a couple of days.
Everyone in my data science team is using MacBook Pros right now. At least in a corperate environment, I don't know why you would even want to train models locally. We either do it in the cloud (Databricks / SageMaker) or remote into on-premise workstations for research & experiments.