I see these around the city: https://www.estrima.com/en/models/biro-winter/
approximately 360kg, so def not as light as a bike, but not incredibly heavy either. 100km range.
1,233 karma · joined December 28, 2012
dennis@stellarcs.ai
approximately 360kg, so def not as light as a bike, but not incredibly heavy either. 100km range.
We're hiring! ABN AMRO is a top 3 Dutch bank and we are expanding the AI team within our central innovation department.
1. We’re a small (20 people) team and work on some of the toughest AI challenges in the bank.
2. We’re part of the innovation department, which means we have more freedom to experiment than the typical team at a corporate. (However, we love results, so this is not an R&D job)
3. Everybody in our team codes. We offer mentoring opportunities by some very experienced people as well.
4. High-pace project based work. We typically set up mixed project teams with business lines to deliver a use case in 2-6 months. Our cases range from detecting fraud to unsupervised chat suggestions to document classification and information retrieval.
5. Some of our projects are pretty close to the state of the art. E.g. our unsupervised chat support is based on a dual-BERT encoder to help our chat agents respond faster and more accurately.
6. We also work with our internal start-ups to deliver new AI driven business models.
7. Opportunities for flexible arrangements (eg 4 vs 5 days a week, multi-month sabbatical after >1 yr employment, and of course remote working opportunities (eg our normal is WFH 2-3 days per week)
We are looking for people with broad experience across ML, entrepreneurship and business topics. In other words: Generalists. Also come and talk to us if you have experience in building infrastructure for data exploration and deploying models to production.
Reach out to the email in my profile for more information. Note: Please mention HN in the e-mail. We require a valid work permit for the EU. Reach-out by recruiters is not appreciated
5.4 times that is about 200k. Avery’s Dutch houses are now 400k (and growing 10%+ y/y). So there’s definitely a gap, but more like 2x than 10x.
This still means the median person can’t afford to live in the city center one of the big cities, but rural areas can be relatively affordable.
What is - on my opinion - problematic is that apple prohibits alternative payment options. Eg I’d be happy to see (8€ per month with apple [pay now], 7€ per month direct [register on our website], but even that’s prohibited. That is Apple using its position as one of the 2 major phone offerings to prevent competition in a way that I consider monopolistic.
To troubleshoot, I’d plug into the hub to have Ethernet connectivity, and the network would seem to work fine. Took me weeks of guessing before considering that a powered-but-disconnected USB hub could be the culprit.
Odd that this is an issue across so many vendors. Perhaps they share a chip, but still, it reads as a mistake on the Hub as well as the Switch side of things.
I think things will improve before the final act. I have contributed to some of the commentary towards the regulator on this, and a lot of the flaws mentioned are now well recognized.
Disclaimer: opinions above are my own.
“The scary part is how easy open source is to use”, and “a mistake in open source is much more difficult to correct then an algorithm from a - accountable - company.” Shows how little the author understands of this field. It won’t be tensorflow that’s biased against minorities in resume selection, more likely the data was biased.
You can't open an account like this if you already have an account. You can't pick the bank either. You're obliged to go to your last bank for this type of account. The price is fixed at the same level as the normal accounts. You can even have this account if you're homeless and don't have an address. Typical requests are done via support organisations rather than yourself, but it is is possible to do it yourself as well.
At least in the Dutch situation I don't see them introducing deliberately unattractive pricing or conditions once you have the bank account. There is a burden to open one though.
That said, I don't think bankruptcy would usually result in being account-less. More likely, you can't get a credit card, mortgage or other consumer loans, which can be inconvenient. Personal bankruptcy (as opposed to an LLC imploding) also likely means a few years of handing over all your income above minimum wage to the government in exchange for nullifying your outstanding debt. (Note that the Netherlands mostly runs on debit cards, and that most people don't have a credit card).
In NL you can already get prices by the 15 minutes and sometimes I get paid to use electricity on windy and sunny days. eg see easyenergy.com. You get the prices 24h in advance, so you can even plan optimally without the need for advanced predictions.
Market share by revenue is likely biased towards Oracle vs market share by usage/installs. I’m under the impression that those migrating towards other DBMS’s are partly doing so to get away from the high pricing of Oracle. So even if usage of eg RDS Aurora and Oracle are the same, it would show Oracle as doing really well. If I’m correct, and the underlying user base for Oracle is declining, then their numbers can only go down in the long term.
But, they have a great money printing machine today, loads of enterprise sales expertise, and the buffers (read: time) to deal with this change. So, although I don’t think they’ll become irrelevant, I wouldn’t say they’re doing particularly well either (from a trends and market direction perspective)
I suppose if you have the same for cooking, cycling, cars, etc. It might actually end up going that direction for more people.
As a community becomes higher quality though, it also becomes more interesting for scammers to abuse. (The Bitcoin Reddits you mentioned are a great example). Good moderation is key I think.
On the ML side you probably have more people working on data gathering/cleaning/client specific tweaks than actual modeling. (Practically, I’d say is 80%-20% at best in the projects we do at work).
Realistically, it doesn’t make sense for smaller figures. Banks are unlikely to lend (at the required rates) for small figures, transaction cost and management fees will reduce the gains too much, fixed costs to setup the scheme will be too high, etc.
But you’re right. Mostly the normal banks and exchanges are regulated and incidence of fraud is low. A lot of that regulation is “lessons from past failures”, which crypto hasn’t had yet.
Beware: this is not universally true. What you typically see is that it leads to closing as many candidates as possible. A recruiter can make more by closing 2 candidates at 80% of max comp than 1 candidate at 100% in the same time.
This is a well known behavior in real estate sales, which have a similar commission structure.
I’m currently hiring for a bunch of roles and recruiters are aggressively reaching out that they “have the perfect candidate for your vacancy”. Even though I’m looking for experienced ML specialists and they’re offering someone with 1 year of Java CRUD app experience… they’re playing the numbers game on both sides of the market.
We're hiring! ABN AMRO is a top 3 Dutch bank and we are expanding the AI team within our central innovation department. Before you dismiss this with “yuck, a bank”, hear me out :)
1. We’re a small (20 people) team and work on some of the toughest AI challenges in the bank.
2. We’re part of the innovation department, which means we have more freedom to experiment than the typical team at a corporate. (However, we love results, so this is not an R&D job)
3. Everybody in our team codes. We offer mentoring opportunities by some very experienced people as well.
4. High-pace project based work. We typically set up mixed project teams with business lines to deliver a use case in 2-6 months. Our cases range from detecting fraud to unsupervised chat suggestions to document classification and information retrieval.
5. Some of our projects are pretty close to the state of the art. E.g. our unsupervised chat support is based on a dual-BERT encoder to help our chat agents respond faster and more accurately.
6. We also work with our internal start-ups to deliver new AI driven business models.
7. Opportunities for flexible arrangements (eg 4 vs 5 days a week, multi-month sabbatical after >1 yr employment, and of course remote working opportunities (eg WFH 2-3 days per week)
We are looking for people with broad experience across ML, entrepreneurship and business topics. In other words: Generalists. Also come and talk to us if you have experience in building infrastructure for data exploration and deploying models to production.
Reach out to the email in my profile for more information. Note: Please mention HN in the e-mail. We require a valid work permit for the EU.
On real part-time: I think once it moves below 3 days a week it works better for transactional roles. E.g. I know dentists that work for a few days per week in a practice, people with 8-16h per week in chat-support, 3-day/wk secretaries, etc. Most of these roles measure their work in calls/appointments/hours rather than longer running projects though.
But with the right culture it can be done in IT as well, I think Gumroad is a good example.
Some observations:
* The folks working 4 days are a bit less likely to pick-up 'side activities' (e.g. help organise an external event, lead some of the recruiting efforts, etc.), because a day away takes out 25% of active time in one go.
* Ratio overhead vs work is probably better for the part of the team working 4x9 vs 5x8. It turns out they can miss many of these meetings and still be fine without additional catch-ups. (unfortunately not in my power to just remove it completely)
* I believe in people having broad responsibilities ("deliver this project in the best way you see fit") rather than "work X hours". We don't downscope projects because someone works 4 vs 5 days, but no one has ever remarked on it either. This type of responsibility sometimes means people wrap-up early, sometimes they feel responsible enough to pick something really important up in the evening/weekend and take a few hours off on another day.
* I think the ~10% difference wouldn't be measurable for software (or AI in our case) development anyway, we're not a call center where you can measure 'minutes called'.
Final notes:
* This is my European/Dutch perspective. I understand this trend is stronger in the nordics/Germany/Netherlands than in the southern countries. Having managed a team in the US in the past, I find it hard to imagine how this would work in the US culture I experienced.
* I have no desire to own souls ;)
For me, SQLite remains the perfect file format for command line tools.
This is in the EU, regulation basically prevents excesses like that in most cases.
Furthermore, price doesn’t have to be a predictor of quality. E.g. LIDL/Aldi (budget chains) commonly win awards for best vegetables.
I used to spend ~150-200 on food per month when I was living by myself and wasn’t strictly managing it for low cost. Now with a family of 3, we spend 300-400€ a month on groceries (incl bread and meat) and are never holding back on anything because of price.
So, 5€ per day doesn’t sound unreasonable even in the Netherlands. Note: we eat vegetarian 5 out of 7 days, without that we’d probably spend 100-150 more.
Edit: I get that this doesn’t work everywhere. When I lived in the US (NYC) and tried to cook my own meals I couldn’t believe 1) how few supermarkets there were and 2) how high prices for basic food were. Eating out was basically cheaper :/
- All newly build housing in the Netherlands must be without natural gas, thus either lower heat-grid or heat pump heating - People that use airconditioning for heating have a heat pump without being aware of it (if configured that way)
Finally, for any technology early in the adoption curve, the market share - or even the growth rate (%) - today shouldn't be taken as good indicators for future development. E.g. McKinsey famously underestimated the mobile phone market by 100x that way [1] and the energy predictions on the adoption of solar manage to underestimate installed solar power _every_ year. Instead, also consider growth-of-growth and network effects as adoption grows.
[1]: https://skeptics.stackexchange.com/questions/38716/did-mckin...
Also, what would you do in the summer?
In this specific example: are car dealers not participating because they don't trust the central party (case for blockchain) or because (lazy|not in their interest|inconvenient|...)? If the latter, then blockchain is not solving the actual problem.
Note: it’s a side project, 50 business users, $5k annual revenue, 4h per month as target for the time spent on customer support, admin and maintenance. So it’s both easy to pay heroku and important for me to not spend too much time on Ops.