The Australian parliament is weird but it kind of works.
Members of the House of Representatives ("lower house") are elected via preferential voting and each member represents a single electorate (there are 150 electorates), all of the electorates are roughly proportional population wise (there is an independent body that draws up the boundaries), however the geographical area covered by each electorate can vary greatly. For example in the State of New South Wales there are dozen of electorates covering the various suburbs of Sydney and one massively sized electorate covering a huge rural portion of the same state where population density is very low.
The Senate (Upper House) is fixed there are 12 members for every state and 1 member per territory. This means that Tasmania which is a fraction of the population of New South Wales has exactly the same number of Senators. There are about half a million people in Tasmania compares to 8 Million+ in NSW. So relatively speaking your upper house vote has way more power if you live in a smaller state.
The senate also uses transferable vote with a quota system. The quota system and "vote transfer" makes it a little weird and it is why minor candidates can percolate up and end up a senator despite relatively small primary vote.
I think it is very difficult to secure internet voting, someone can stand behind you and twist your arm or otherwise coerce you to vote for their candidate. Much harder to do when there are observers and witnesses at the polling booth.
I've lived with deg C my whole life it is what I'm used to, the way I experience weather is in 5 degree increments - I live on East Coast of Australia. My Internal rule of thumb is:
Below 10 deg C - it is cold, Heavy jacket weather
10-15 Typical winter weather (at least where I live) light jacket
15-20 Spring/Autumn weather long sleeves no jacket required
The issue is people trying to use these AI tools to investigate complex data not the throwaway UI part.
I work as the non-software kind of engineer at an industrial plant there is starting to emerge a trend of people who just blindly trust the output of AI chat sessions without understanding what the chat bot is echoing at them which is wasteful of their time and in some cases my time.
This not not new in the past I have experienced engineers who use (abuse) statistics/regression tools etc. Without understanding what the output was telling them but it is getting worse now.
It is not uncommon to hear something like: "Oh I investigated that problem and this particular issue we experienced was because of reasons x, y and z."
Then when you push back because what they've said sounds highly unlikely it boils down to. "I don't know that is what the AI told me".
Then if they are sufficiently optimistic they'll go back and prompt it with "please supply evidence for your conclusion" or some similar prompt and it will supply paragraphs of plausible sounding text but when you dig into what it is saying there are inconsistencies or made up citations. I've seen it say things that were straight up incorrect and went against Laws of Thermodynamics for example.
It has become the new "I threw the kitchen sink into a multivariate regression and X emerged as significant - therefore we should address x"
I'm not a complete skeptic I think AI has some value, for example if you use it as a more powerful search engine by asking it something like "What are some suggested techniques for investigating x" or "What are the limitations of Method Y" etc. It can point you to the right place assist you with research, it might find papers from other fields or similar. But it is not something you should be relying on to do all of the research for you.
One big feature at the time was Firefox had a built in popup blocker, IE did not. Popup ads were rife towards the backend of the 90's and the internet felt borderline unusable without a blocker.
I'm an engineer I think there is definitely some pain points translating math to code.
I've written some nasty numerical integration code (in C using for loops) for example I'm not proud of it but it solved my issue. I remember at the time thinking surely there must be a better way for computers to solve integrals.
I work at an industrial plant, we use "edge" to refer to something inside the production network.
As an example the control system network is air-gapped so to use ML for instrument control or similar the model needs to run on some type of "edge" compute device inside the production network all of the inferencing would need to happen locally (i.e. not in the cloud).
>There are no "higher level details" in software development, those are in the domain of different jobs like project managers or analysts. Once AI can reliably translate fuzzy natural language into precise and accurate code, software development will simply die as a profession. Our jobs won't morph into something different - this is our job.
I'm the non-software type of Engineer. I've always kind of viewed code as a way to bridge mathematics and control logic.
When I was at university I was required to take a first year course called "Introduction to Programming and Algorithms". It essentially taught us how to think about problem solving from a computer programming perspective. One example I still remember from the course was learning how you can use a computer solve something like Newton's Method.
I don't really hear a lot of software people talk about Algorithms but for me that is where the real power of programming lives. I can see some idealized future where you write programs just by mix and matching algorithms and almost every problem becomes essentially a state machine. To move from state A to State B I apply these transformations which map to these well known algorithms. I could see an AI being capable of that sort of pattern matching.
I suspect it is to do with the amount of pedestrian traffic passing through an area. When you have a high population density there is an increased amount of foot traffic in the area you can charge less per individual serving because you have a higher overall volume of traffic.
Where I live in Australia the cheapest food tends to be Kebabs which congregate around pubs. There is a high amount of students walking (stumbling) home after a night out etc so they can afford to be cheap since they get so much foot traffic coming through.
I'm an Australian in my 40's almost everyone in my immediate circle (family, friends, work-peers) has an Android, at least in my world iPhone is a minority.
I grew up with Nokia phones all I want out of my phone is something cheap and rugged with a decent battery life.
I work at an industrial plant we use boolean datatypes for stateful things like this. For example is Conveyor belt running (1) or stopped (0).
Sure we could store the data by logging the start timestamp and a stop timestamp but our data is stored on a time series basis (i.e. in a Timeseries DB, the timestamp is already the primary key for each record) When you are viewing the trend (such a on control room screen) you get a nice square-wave type effect you can easily see when the state changes.
This also makes things like total run time easy to compute, just sum the flag value over 1 second increments to get number of seconds in a shift the conveyor was running for.
Sure in my example you could just store something like motor current in Amps (and we do) and use this to infer the conveyor state but hopefully I've illustrated why a on/off flag is cleaner.
The AEMO (Australian Energy Market Operator) website has some good data can see price of electricity in realish time. This is for the NEM (which is east coast states + South Australia), the west coast is on a separately managed grid with no interconnection.
You can also view the breakdown of where the grid is sourcing energy from (i.e. what portion of the grid is supplied from solar pv etc at any given time).
I know that some big industrial users (large factories etc) can optimize/spin up production lines etc based on the spot price. Although I'm not sure if they use the same public AEMO data there might be a dedicated api or similar involved.
I think Snow Crash is an interesting book but I can see how people could be turned off by it. It kind of straddles a weird line where parts of it almost read like parody or an attempt to troll the audience but at the same time it explores serious concepts.
It kind of screams at you "look how absurd this is" but then plays it straight and explores the ideas seriously.
Members of the House of Representatives ("lower house") are elected via preferential voting and each member represents a single electorate (there are 150 electorates), all of the electorates are roughly proportional population wise (there is an independent body that draws up the boundaries), however the geographical area covered by each electorate can vary greatly. For example in the State of New South Wales there are dozen of electorates covering the various suburbs of Sydney and one massively sized electorate covering a huge rural portion of the same state where population density is very low.
The Senate (Upper House) is fixed there are 12 members for every state and 1 member per territory. This means that Tasmania which is a fraction of the population of New South Wales has exactly the same number of Senators. There are about half a million people in Tasmania compares to 8 Million+ in NSW. So relatively speaking your upper house vote has way more power if you live in a smaller state.
The senate also uses transferable vote with a quota system. The quota system and "vote transfer" makes it a little weird and it is why minor candidates can percolate up and end up a senator despite relatively small primary vote.