> Cross-platform search should be standard by now. A shared watchlist across services would help
I have a Hisense TV with Roku interface. I was always able to search a movie and it'll tell me ways to watch. Being a data engineer, I sometimes wonder how that data is collected and aggregated.
Interesting... at my current job, my team and I are solving this problem of how to make sure LLM understand our SQL data warehouse to answer analytical questions for clients. We have a 20-year old database with rotting schema as the blog post describes. So we had to rebuild the database in a way that is well structured and governed. Once that hard work is done, we slap dbt models on top of business metrics with model YAML files (and some common MD files) carrying a lot of semantic and metadata info for them.
Then our software engineering team ingest the dbt models (we have to tactically create dbt models; that is, always think "what would make LLM hallucinate less" as we are implementing them) and info from the semantic layer to build context for the LLM, and use that to answer analytical questions. So far, it's been promising. The accuracy isn't zero like the blog's author suggested though. We have built like 30 metrics in dbt and semantic layer in the last quarter, and asked the research and analytics teams to do internal testing on the LLM app. I will find out how accurate this approach is from the feedback soon.
I am like OP -- I use old.reddit.com strictly in Firefox. I'm comfortable and familiar with the old UI (been a Reddit user for as long as Reddit has been around).
I was a little annoyed by being asked to log in. But I don't want to browse 'reddit.com' because I don't like the way the new UI looks. It's hard to read and scan the first few pages quickly in the new UI (also looking at you Vanguard; you destroyed your old UI which was compact and informative).
Worse, now that I'm logged in and can use "old.reddit.com", Reddit serves me what it "thinks" I like, so now I'm trapped in the subreddit/topic bubble that Reddit selects for me (btw, it selects things poorly). I want to go to the old front page, so I click on 'Hot' or 'Top'. But Reddit still interleaves the posts with what it thinks I'd like to see.
Like some folks already commented here, even as someone who has been working in tech for 20+ years, I find Passkey confusing. I understand the key aspect in computer science term, but I don't know how to use it across devices. Another big worry is that if I tie that to a physical key, then I might lose it (because it's physical) and never get it back.
I watched the demo video. Isn't that agent's voice too hasty in responding? Maybe that's what they (OpenAI) are trying to show off as full-duplex tech, but I can't shake the feeling that I'll feel annoyed if the AI agent interrupts me when I'm speaking....
That sounds similar to what you experience in the US especially as a first gen immigrant. I see a glass ceiling (for the lack of a better word) here. Most of the leadership positions are occupied by US-born (mostly Caucasian) and/or to some degree, Indian immigrants. Sometimes, I truly wonder how/why this person got into the leadership role because it's fairly obvious that s/he lacks the essential qualities required for it. The only explanation is the politicking (typical in the corporate world) and somehow being able to impress others by talking fast and/or smooth (while giving false promises and failing upward).
All of this to say that your observation in Germany doesn't sound that different from mine in the US (been here for over 20+ years; been in a manager/director role in data for almost a decade).
I'm assuming that China, with its industrial power and leadership position to produce a bunch of green energy components (like solar panels), is well-positioned to benefit from this.
Not related to using LLMs for writing email, but something that bothers me about using Gmail lately.
There were a couple of lass action lawsuits (like this one: www.GoogleWebAppActivityLawsuit.com) against Google. The emails from both lawsuits went straight to my Gmail account's 'Spam' folder. I'm glad I review my spam box regularly. Hopefully, it's just the false positive effect of the Gmail's spam filter.
Same. Last week, my boss, Chief Data and Analytics Officer, dumped an AI-generated proposal (~7 pages) on how to structure semantic layer on top of our dbt models. As the Data Engineering lead, I had to read it and found a few glaring issues; left a lot of comments asking him for details where it's lacking; and proposed a few of my ideas (the path I think we should take without over complicating everything unnecessarily--esp. in the beginning).
Yesterday, one of my coworkers (Senior Dir. of Research Ops) shared with me another obviously AI-generated 5 page draft of an SOP on how to reintegrate old metrics (in the legacy SQL Server environment) into the Azure SQL while keeping everything running smoothly. She's not the most technical person, so it obviously is reflected in the doc generated.
I think we will all become AI-output-reviewers eventually. Not sure how long I can keep doing this though because the volume of materials that need reviewing seems to be growing really quickly these days....
I thought it's just happening to me. I tried to watch my computer's network activity to see if anyone has hijacked my IP. I closed Gmail and YouTube tabs because I find that they are the ones which pings to the outside world a lot more than other tabs I have opened. I even restarted my modem two times. Didn't work.
So I decided to...use Firefox a lot more with DDG (I use FF for mostly privacy-sensitive stuff like checking my financial accounts, but now I use it for a lot more browsing stuff).
Seems like it is the Chrome browser over-reacting.
My spouse is an hematologist+oncologist. She and all of her coworkers use ChatGPT. Before then, they look stuff up on UpToDate [ https://www.uptodate.com/login ] (they sometimes still do). I went to medical school for three years and quit because I couldn't stand the rote memorization part of the studies. Too many facts to remember IMO.
Even as an AI-neutral person, I'm very confident that AI/ML based computer systems, once trained specifically for medicine, will consistently do better than human doctors because believe it or not, there are a lot of human errors made in medicine field (doctors just don't admit that and we don't know) due to lack of time by doctors or incompetence or simply forgetting a fact or two that they should have checked when diagnosing or coming up with a treatment.
These bans, in my opinion, are not the right way to go. Who says that once you are 16+, you are mature enough to interact with the social media apps? I'd argue that if one has never used social media when growing up, it'd even be more dangerous to open the floodgate (so to speak) once s/he reaches 17. Then, that person is not going to know what to avoid and how to curb addiction.
Educating kids about the potential harm, and also making parents take some more responsibility seem like a more positive approach to me.
The same question I wanted to ask. I'd be very curious to learn about their post-mission analysis to find out how many bit flips occurred and how many times this redundant system prevented the mistakes from causing issues.
My wife is a big movie/drama series watcher. She will occasionally flips through Netflix catalog, but will always check first if the series has finished or not. If it isn't, she'll not bother. There are so many series that Netflix started but didn't finish. That and a lot of fodder movies Netflix produced.
So in the end, my wife usually doesn't end up watching anything on Netflix. We only have that account because it was sponsored by T-mobile. Otherwise, we'd not be subscribing to Netflix.
Agreed. As a spouse of a specialist doctor in the US, average folks don't include doctors when they blame the exorbitant prices of the US healthcare. Sure, big pharma, insurance companies, hospital admins and everyone in between play a part in this big profit-making machine.
But doctors (a lot of them, not all) are complicit in this healthcare complex. American Medical Association is one of the top lobbying groups in D.C. They gate-keep the production of US doctors artificially low by making the candidates go through longer years of education (4 years of college before another 4 years of med school is an overkill for most doctors) compared to other developed nations, resulting in high compensations for doctors AND longer wait-time for patients (due to doctor shortage). They also put up regulation barriers and it requires a lot of certification and exams to become a doctor, so whoever becomes a doctor has the best interest to keep the system (status quo) going.
Average US doctor gets paid a lot more than their counterparts in other developed nations.
Speaking this as a spouse of a medical doctor -- case reports are sometimes a good way to increase the bullet point count in your CV if you are a medical resident. A lot of residents do that just for the sake of beefing up their CVs (to apply for fellowship for example).
I have a Hisense TV with Roku interface. I was always able to search a movie and it'll tell me ways to watch. Being a data engineer, I sometimes wonder how that data is collected and aggregated.