HN user

elemeno

2,625 karma

Technology Consultant in Capital Markets

Ex-Health Care disruptor

Ex-Quant/Developer, working for a bunch of derivatives traders. Spend my time thinking about volatility curves and option pricing.

Work in C#, play in C++ and F#/Haskell with a hint of Lisp on the side.

Avid player of (board) games, preferably of the unforgiving economic variety. Leads to long discussions about the desirability of different stock markets in various 18xx titles.

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www.theguardian.com 1y ago

A map, a myth and a pre-Incan lagoon: the man who brought water back to a town

elemeno
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www.nytimes.com 1y ago

Hours in a Hurricane, on a Race with No Course

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www.bloomberg.com 1y ago

Local Governments Got Hooked on One Company's Janky Software

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www.theguardian.com 2y ago

Electric mountain: Power station that shows the beauty of infrastructure

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91pts62
github.com 3y ago

WhatsApp Chat Proxy – A Gateway Between You and Our Servers

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www.theguardian.com 4y ago

In too deep: the epic, doomed journey of Europe’s first narco-submarine

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www.economist.com 4y ago

Railway lines once connected the Middle East

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www.microsoft.com 5y ago

Lambda: The Ultimate Excel Worksheet Function

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236pts109
vault.si.com 5y ago

Rapture of the Deep (2003)

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www.theguardian.com 5y ago

Paper maps, two-way radios: how firefighting tech is stuck in the past

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www.bizcoder.com 6y ago

Optimizing for the Speed of Light

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www.newyorker.com 6y ago

My Life as a Child Chef

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www.eurogamer.net 7y ago

How Artifact became Valve's biggest failure

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asia.nikkei.com 7y ago

Tesla and Panasonic freeze spending on $4.5B Gigafactory

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www.bbc.co.uk 7y ago

Tesla to raise prices and keep more stores open

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www.bizcoder.com 7y ago

Optimizing for the Speed of Light

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jamesclear.com 7y ago

Professionals and Amateurs

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erikdemaine.org 7y ago

Mathematical and Puzzle Fonts/Typefaces

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www.hollywoodreporter.com 7y ago

The YouTube Premium Concept Is All but Done

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nautil.us 7y ago

A Man Who Designed Ghost Armies and Opera Houses (2016)

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www.nytimes.com 7y ago

The Chemists’ War

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work.qz.com 8y ago

GM's dress code is only two words

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www.nytimes.com 8y ago

The Strange Case of the Missing Joyce Scholar

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www.bbc.co.uk 8y ago

The female tech bosses who want zebras not unicorns

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myreckonings.com 8y ago

The Art of Nomography (2008)

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www.bbc.co.uk 8y ago

How Toxic Is Your Car Exhaust

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alphaarchitect.com 8y ago

Even God Would Get Fired as an Active Investor (2016)

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www.bbc.co.uk 8y ago

Cam-girls: Inside the Romanian sexcam industry

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www.bloomberg.com 8y ago

At 18, He Strapped a Rocket Engine to His Bike. Now He’s Taking on SpaceX

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www.nytimes.com 9y ago

Napping in Public? In Japan, That’s a Sign of Diligence

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3pts0

Keyboardio sells both the Preonic and Atreus (https://shop.keyboard.io) fully built with a variety of key switch types.

I use the Preonic as my daily driver and really like it - minimal but not too much so. I tried the Atreus like the idea but it was a touch too minimal for my taste - certain key combinations I used a lot at work were too much of a finger twister!

To the best of my knowledge much of this originated with SecDB/Slang at Goldman - SecDB (securities db I believe) being the object store and slang the somewhat quirky C like language that ran with it (also the only language I’ve used professionally that let you have spaces in the variable names).

Some of the folk that built that (or worked on it) ended up at JPM and Merrill where they built the Python centric version - Alpha and Quartz respectively. Barclays Capital has/had a similar system as well I think, but it’s not one I know about offhand - they did though, memorably, have a system that was pretty much Haskell-in-Excel.

It’s not an agentic pattern, it’s an approach to test driven development.

You write a failing test for the new functionality that you’re going to add (which doesn’t exist yet, so the test is red). You then write the code until the test passes (that is, goes green).

They’re one of the two big names in legal data - Thomson Reuters Westlaw and RELX LexisNexis. They’re not just search engines for law, but also hubs for information about how laws are being applied with articles from their in house lawyers (PSLs, professional support lawyers - most big law firms have them as well to perform much the same function) that summarise current case law so that lawyers don’t have to read through all the judgements themselves.

If AI tooling starts to seriously chip away at those foundations then it puts a large chunk of their business at risk.

I had a similar problem with mine where the clock was out and preventing it from syncing or updating.

The solution i was told (and which worked for me) was to plug it into a computer for a while - I assume that some time syncing must happen in the background when it’s connected via usb.

If you’re interested in this you might like the game Bombe (https://store.steampowered.com/app/2262930/Bombe/) - a game about defining rules to let the computer solve various minesweeper (and more advanced variants) puzzles.

It’s a bit mind bending as you’re never actually solving the puzzles yourself, but creating sets of rules to solves whole classes of potential minesweeper patterns. It definitely solves that pleasurable puzzle solving itch!

From another article on the FT it sounds like they’re talking about ballast, not that it’s taking on water. -

“ Alongside specialists dredgers that are working to remove sand and soil from around the vessel, salvage experts Smit are looking to bring in high-powered pumping equipment to remove ballast water from the front and back of the ship, BSM said.”

Yet, in all cases, after hedging, the airline will still either win or lose depending upon the change in oil price. No certainty has been gained.

That’s not really true. You’re locking in the price that you’re going to pay - that’s the certainty. You might however not be getting the best price at that point in time. From a financial forecasting perspective it probably worthwhile trade off though as you’re fixing one of your costs for that time period and that’s useful even when sub optimal.

What would be the use case for those firms?

An executive search firm that's able to find candidates who would be suitable for jobs that pay $1mm+ in total comp is going to be using the network of people who they already know in order to find those candidates. At that level of comp you're relying on relationships and recommendations in order to find candidates (along side, most likely, some judicious use of LinkedIn) rather than any form of job board.

The Toyota Way 7 years ago

Do you have a title or a link to the case study - just searching for TPS on HBR returns an awful lot of results!

But in a case like yours if sounds like steps 2 through 5 aren't strictly relevant to the change you're making, so it's no wonder that your estimate is blown out the water. (Sorry if I'm wrong, you've obviously got more context on your own platform than I do!)

It does make me wonder though if there is a trend of 'hiding' necessary maintenance work in larger tasks - if so that seems to me to be indicative of a larger problem around not being given/making the time to do those jobs as their own tasks.

I used to have that view of the world as well, that a lot of the programming I was doing was simultaneously exploring the problem space as well as working towards a solution and thus writing tests (let alone full blown TDD) wouldn't work.

I think that what changed my mind, other than the dubious joy of maintaining my own code a couple of years down the line, was the realisation that while I don't know the solution to the problem yet I do know what each function I'm writing is supposed to do and thats what I should be testing. As a side effect it also meant that the functions I was writing became smaller (easier to test) and it became easier to see what the end solution might look like because I could understand the intermediary steps more easily.

Or to put it another way, I might not know how to write the compiler, say, but I do know that I'll need to start off by reading a line of input and I can test that I'm doing that properly, etc.

Now that's got to be a Submarine Article, with the repeated mentions of one company and the underlying narrative of Scooter companies being job providers. Simultaneously a job ad and an attempt to sway public and/or local government option in favour of scooter companies (or at the least, this scooter company) remaining in SF.

Otherwise, it's hard to believe that 'person gets a blue collar job' is something that an article would be written about...

How to Hide $400M 10 years ago

You don't have an e-mail address in your profile, else I would have used that instead.

As someone who works in finance, and has a keen interest in how the murky side of that world works, I'd love to read your screenplay.

The british economy will collapse completely, they are by far not that important globally.

The UK has the worlds fifth largest economy by GDP and the second largest economy in the EU (Germany is larger, France is smaller) [1]. To claim that they're 'not that important globally' is, frankly, asinine. Do you really think that the EU won't also get hurt by the UK leaving? If you think it won't then it's worth asking why EUR/USD has also gone sharply down today...

[1] http://money.cnn.com/news/economy/world_economies_gdp/index....

They're proprietary traders (that is, they trade with their own money and don't have clients - unlike a hedge fund), so they're very unlikely to tell the world what their performance looks like. If it's bad, they'd not want you to know, if it's good they'd not want their competitors to know!

Generally speaking, altering your statistics to report to regulators will open you up to a lot of potential legal trouble as the regulators might well decide to take the view that you're deliberately giving them misleading information.

If you need to massage the date to represent what you believe to be a realistic view of your data then you still need to start off with your 'bad' data and explain why you don't believe it's representative and present your arguments for altering your data along with your 'clean' dataset. That way you can't be accused of misleading regulators and you'll have best opportunity to present your arguments for why your initial dataset is 'wrong'.

Your fiduciary duty to shareholders almost certainly includes not making yourself liable to having legal action taken against you by the government.

Being a minor pedant - the sugar in Smoked Salmon isn't really 'the food producers putting sugar everywhere', it's part of how the Salmon is cured before it's smoked. Rubs and cures are fairly typically a mix of salt and sugar along with herbs and spices - the sugar is a pretty integral part of the process rather than being an additional ingredient.