> It mostly boils down to this: delight customers and iterate as fast as you can.
This is maybe the second phase after AWS found a fit and built a consumer base? Once I am in the housing market, I have a need for everything (mortgage, building contractor, construction materials, designer, hardware and accessories, upholstery, decor, etc).
My entry to AWS started with EC2 in the very early days because it of its commodity nature (any size and shape, for however long, with per-minute billing) and instant availability. The elastic nature solved scale. A lot of people didn't move to RDS until later but it was inevitable.
Everything else followed on from there, cross-sells and up-sells for reliability and convenience were always a click away for captive consumers who were already onboarded.
The only thing that didn't sit well with a lot of people about the leaked memo is that it ignored the quality of GPT4 vs GPT3 and made claims that all LLMs were poised to be on par, yet that isn't true till now.
What it also ignored (along with some of the comments here) is data ranking. Google didn't just build a search engine by crawling more of the web -- many search engines before it had already done that. Google managed to rank what's relevant and what isn't. Relevancy is hard. Similarly, not all scientific publications are ranked equally. Or for that matter, even publications with a lot of peer reviews or citations can become obsolete through new discoveries.
Reddit's data has value in that it can fill in a lot of the gaps left by more qualitative sources and furthermore the data is user-ranked by a trusted community. This also has implications for specialised querying, for example training on just r/fitness could be fairly useful for that community.
As a side note, other valuable data stores are not just text but voice/video as well. YouTube and podcast transcripts are readily available, for example to Google. Data and ranking is valuable all over again.
Most likely, just as happened with Stable Diffusion, a community of models will emerge. You could use a pre-trained model for writing chrome extensions, or a model for writing material UI using tailwindCSS, or a very specific model for writing 2d games for Android.
Since a lot of this is trial-error, improving on each iteration the feedback loop (compile, deploy, run, etc) will matter a lot more. Real-time development workflows like React should be interesting at the least. Exciting stuff, truly.
They need to take this and similar AI and come up with better dubbing for movies in other languages. Netflix should really lead the way here with the amount of dubbed content that they currently possess.
A bit late but I have a problem with whichever icon search sites I've come across: it's hard to find a set.
For example if I search Facebook, I get dozens of icons. Now how do I find the same style of icons for Twitter, etc. If you can fix that, it'll truly make you awesome.
Three worst addictions: Heroine, Carbohydrates and a monthly salary - Nassim Taleb
It's more common for people who are in-between jobs to take things that would be otherwise compromise their monthly salary income. It's less common for someone to quit a high paying job and take on a risky endeavour.
Relatedly, the Tarzan strategy is another way to mitigate this risk (side projects or finding your next gig before just quitting the current), etc. Called Tarzan because you hang on to the next rope before letting go of the current one.
> This guy has gone to the zoo and interviewed all the animals. The tiger says that the secret to success is to live alone, be well disguised, have sharp claws and know how to stalk. The snail says that the secret is to live inside a solid shell, stay small, hide under dead trees and move slowly around at night. The parrot says that success lies in eating fruit, being alert, packing light, moving fast by air when necessary, and always sticking by your friends.
His conclusion: These animals are giving contradictory advice! And that's because they're all "outliers".
> But both of these points are subtly misleading. Yes, the advice is contradictory, but that's only a problem if you imagine that the animal kingdom is like a giant arena in which all the world's animals battle for the Animal Best Practices championship [1], after which all the losing animals will go extinct and the entire world will adopt the winning ways of the One True Best Animal. But, in fact, there are a hell of a lot of different ways to be a successful animal, and they coexist nicely. Indeed, they form an ecosystem in which all animals require other, much different animals to exist.
The problem, as with all things in Karachi, is systemic.
It results from lack of ownership which makes accountability hard (politicized institutions with diverging agendas). During these rains, an entire township (Naya Nazimabad) sank underwater and many areas are still waterlogged. This township was built on top of a low-lying lake that was reclaimed. The approval of such projects involves dozens of authorities, each of whom charges an "expediency fees" and corruption is deep rooted within them. An officer who comes in for a 2-4 year tenure on low government salaries is incentivized to maximize his earnings during his short tenure.
The second is the lack of engineering involvement. The government sector doesn't exactly attract the top talent at good salaries. The tenders on the other hand are awarded based on nepotism and personal gain. There is a long list of botched projects in the civil sector. None of the desalination and water treatments plants are operational, in the entire city, for example. They have not been for years now.
The sewerage infrastructure in many parts of the city, as exists right now, is worse than the French sewers built in the 14th century[1]. These sewers are open-top and become dumping grounds for garbage due to lack of a garbage collection infrastructure. The encroachments around and above these sewers fall victim to Tragedy of Commons[2]. The whole thing is a mess with no easy solution and if this years' heavy rainfalls become a future trend, the situation will be unsustainable. Many homes were waterlogged for days and weeks with no power or connectivity (cell towers have around 24-48 hours of standby power after which they went down).
Services revenue in general is where all devices are going. If you subscribe to Netflix on your smart TV, the TV maker gets comms. Again, this referral/conversion model is pretty dated. Otherwise TV maker has no incentive to pre-bundle your app (same as Windows, some Android phones, Lenovo laptops, etc).
This is probably the desired effect that Dropbox wanted. There is little reason to remove the symlink feature that worked perfectly well - it is a strategic move at best.
Reversing the symlinks means Dropbox becomes the source of truth and the dependency on Dropbox increases.
Personally, I used this to easily backup my Downloads and Documents.
Similar story, 2 keyboard-only replacements and one main logic board + keyboard replacement on a MacBook 12". A week ago it failed again and I'm nowhere near an Apple store so gotta wait it out. It's been about 2 years.l since I bought it for my wife who uses it for light browsing.
I bought a brand new Pro 2019 model but haven't opened it yet and hoping to resell it since Hong Kong doesn't do returns -- where it was purchased. It's keyboard was already listed in the replacement program, even before I bought it. My current Air is 6 years old and chugging along (i7 1.6Ghz with 3.1Ghz boost). The new MBP won't last beyond 4 (Apple support expiry on keyboard replacement).
Not sure how a minor membrane change can help alleviate the keyboard issues. CPU throttling is another known issue. Best to wait it out for the new Air with scissor keys due up later this year.
Apple has squandered a lot of its goodwill. It reminds me of my relationship with Microsoft products. As long as they were shipping, they were making money in the short term because people were coerced to buy in.
For 5 damn years the Air didn't get a Retina display. Right now, I can't buy 2.8Ghz Macbook Pro unless I get the TouchBar. I can't buy an Air unless I settle for much lower specs.
The dongles and USB-C are a mess. The 2-meters-at-most charging cables are a downgrade which will mean shorter battery life due to lesser plugging in. The lack of Magsafe is a downgrade, they removed a feature. The lack of any port variety which my 2013 Macbook Air did exceedingly well is a major downgrade. Consumers must carry a variety of dongles because the laptops don't offer a variety of ports.
Profits are fine as long as they don't lead to perverse behavior. Apple needs to stop playing these fucking games and ship some pragmatism.
The Apple of Cook is reminiscent of the Microsoft of Ballmer. He is totally out of touch with the product -- the very thing that Jobs inculcated.
If a single regex can take down the Internet for a half hour, that's definitely not good -- for a class of errors that can be easily prevented, tested, etc.
The timing is unfortunate too, after calling out Verizon for lack of due process and negligence.
I'm sure they have an undo or rollback for deployments but probably worth investing into further.
They also need to resolve the catch-22 where people could not login and disable CloudFlare proxy ("orange cloud") since cloudflare.com itself was down.
­ support has been around for at least a decade and it can be done server side with any logic.
It's probably not needed today but when I first used it the logic was along the lines of adding it at the 5th 7th 9th characters provided there were at least 4 more characters after each ­ or some such while being wary of hanging the last word etc.
It's a soft hyphen meaning the browser will break if needed otherwise ignore it. It's an HTML feature rather than a CSS one which also has implications.
> Though very uncanny, this is rather easy to extrapolate even using the basic facets FB has available. But the most overlooked is photos. They are offline beacons and are to offline tracking what websites are to online tracking.
For example you and a group of 10 other people took photos at the same location which FB sees as a small gathering of intimate friends. It will need to qualify the location is not a public restaurant to be sure its an intimate gathering. The chances of you connecting with that person are then really high. And if you are and the other person are in each others photos, then it's almost a certainty you will end up connecting on FB should FB recommend the connection. The more connected FB's network is, the more it can extrapolate based on commonalities from the first degree graph of your network.
It's also the reason why Google is betting so heavy on photos and offering free unlimited storage -- remember, there's no such thing as a free lunch. Google wants to build a social network graph based on location and facial recognition to draw on proximity.
With AI this will get even more uncanny. For example a wedding will have a certain photography profile (number of pics taken, the time of day, the location and venue based on Google Maps or past photographing histroy, the lighting in the photos, etc). Once you throw AI into the mix you realize Google doesn't need to draw out any conclusions. It can throw all these parameters into the AI engine and draw up proximity.
In this case, Google or FB will not be able to tell you how they drew the connection, because even they won't know. All you can assume is the AI engine will take dozens of parameters today and hundreds tomorrow. Google's deep investment in AI infrastructure is a bigger testament to this.
Displacing millions of dollars with DJI drones + CV... can’t wait to see what’s more in store.
Can hi-res cameras mitigate the need for close-proximity fly-bys?
Are there any companies doing home security drones? Like circling the property routinely, auto docking to recharge, reporting human thermals around the perimeter etc. Maybe even neighbourhood-watch, crime-fighting drone fleets in the near future
This is maybe the second phase after AWS found a fit and built a consumer base? Once I am in the housing market, I have a need for everything (mortgage, building contractor, construction materials, designer, hardware and accessories, upholstery, decor, etc).
My entry to AWS started with EC2 in the very early days because it of its commodity nature (any size and shape, for however long, with per-minute billing) and instant availability. The elastic nature solved scale. A lot of people didn't move to RDS until later but it was inevitable.
Everything else followed on from there, cross-sells and up-sells for reliability and convenience were always a click away for captive consumers who were already onboarded.