dgriffith

joined 2 years ago
[–] dgriffith@aussie.zone 9 points 16 hours ago (5 children)

While I agree that having a charging point at home is not mandatory, it's much much friendlier,

Even a normal outlet can handle slow charging an EV if you drive less than 100km a day.

Typical EV usage : 18kWh per 100km

Typical "granny" charger : 1800 watts (240v,7 amps)

10 hours at 1800 watts = 18kWh = 100km.

Get home at 6pm, plug in car, car is charged at 4am , leave for work at 7am. Enough spare time there to shift to charging outside peak evening usage at 9pm instead.

[–] dgriffith@aussie.zone 27 points 1 day ago* (last edited 1 day ago) (1 children)

Broadcom's tactic here is to dump the little fish, keep the whales. Then rake in that revenue for very little effort in support and development until budget proposals showing better alternatives are written, enterprise capital expenditure cycles around to the next refresh, and the whales finally go elsewhere.

[–] dgriffith@aussie.zone 4 points 2 days ago (1 children)

Yes, it's trending in that direction, and I've been experimenting with pretty small models on my PC as I don't really have the hardware to go large. If you've got the coding chops to set it up, it's definitely something to keep an eye on.

There's actually scope for someone to set up / sell local compute hardware+software packages, similar to all those coin miners. Give the end user a way to update models, or push models out to them or something, it seems it would be a good middle ground between manually typing code like a peasant and total corporate AI apocalypse.

[–] dgriffith@aussie.zone 147 points 3 days ago (26 children)

If you've got a toy project that you want "AI" to give you a hand with, do it now.

Pretty soon all these companies are going to have to pay for all that investment in compute resources they've been busily soaking up over the last few years, and then they're going to have to pay back their investors, and then they're going to have to try and make a profit

This is the golden time for cheap commercial AI. Already the noose is starting to tighten, and it will never again be as cheap as it is now.

[–] dgriffith@aussie.zone 16 points 5 days ago

Exactly. Functional public health systems will assess patient outcomes and the expenditure in money and resources to determine what treatments get approved.

The odds are pretty good that - if this works out - this will be on the list of approved treatments straight away. Surgery is an expensive and high-load pathway for public health systems. A non-surgical treatment that gives good outcomes is such a win-win for both patients and public health systems that it almost doesn't matter how much it costs.

[–] dgriffith@aussie.zone 5 points 5 days ago (3 children)

To be honest I'd rather get OOM errors in my consumer OS than endless disk thrashing. At least mechanical drives were more resilient and you could hear the thrashing, as opposed to silent massive wear on your SSDs.

[–] dgriffith@aussie.zone 3 points 5 days ago (1 children)

Yeah, it's on the to-do list. I still don't like it endlessly paging though. I also hate Microsoft's push to get everyone on win11 even if their PC's will run like asthmatic slugs.

[–] dgriffith@aussie.zone 39 points 6 days ago* (last edited 5 days ago) (8 children)

No, the worst app is Windows 11. My parents have some all-in-one HP PC. It has some Intel laptop processor from about 8 years ago, 16GB of ram, (upgraded from 8), and a wheezy 256GB spinning drive, running Win10 adequately.

After being bombarded with "upgrade to Windows 11! It's easy and fun!!" notifications, they did so, and of course their PC is woefully underpowered for the job.

I log in remotely and check what's running and the OS is paging to the swap file constantly. [Edit: and I mean, to the point where opening an application takes 60 seconds of disk thrashing for a window to appear]

I had to get a de-bloat script and turn off about 50 Microsoft "essential services". The biggest hog out of them all was copilot, which was using about 4GB while sitting there idle.

I have no doubt that I'm going to have to run that script every month as everything gets "repaired", until I can get back to their place and put a SSD in and maybe install some flavour of Linux.

[–] dgriffith@aussie.zone 9 points 6 days ago* (last edited 6 days ago) (1 children)

So does every city, suburb, town, factory, mine, processing plant, farm, etc.

What you're missing is that all these things provide economic benefits locally.

A datacentre uses prodigious amounts of local resources, but doesn't provide much in the way of local returns. It's very much a case of "privatise the profits, socialise the losses" for the locals.

[–] dgriffith@aussie.zone 54 points 1 week ago* (last edited 1 week ago) (4 children)

Article talking about a little robot taking images of the lander, no images given.

So here's an image of the faceplanted lander that I found in a 5 second search, because Gizmodo couldn't be bothered to show it in the article, preferring to link to one of their other articles instead to get those juicy clicks.

Faceplant :-(

< sad lander noises >

And the press release from the toy manufacturer's website.

(Side note: I love Japanese websites. Their designs seem to be stuck in the late 90s., along with their floppy disks and fax machines)

[–] dgriffith@aussie.zone 2 points 1 week ago

You know what?

I'd love to hear a little "toot-toot!" and have a little train pull up outside my window, with my parcel on a carriage behind it.

[–] dgriffith@aussie.zone 19 points 1 week ago* (last edited 1 week ago) (2 children)

Brave's been making, uh, some controversial philosophical design choices lately.

I mean, they had some before, but now they also have a few more lately that have riled people up a bit.

 

Hi all,

In an effort to liven up this community, I'll post this project I'm working on.

I'm building a solar hot water controller for my house. The collector is on the roof of a three-storey building, it is linked to a storage tank on the ground floor. A circulating pump passes water from the tank to the collectors and back again when a temperature sensor on the outlet of the collector registers a warm enough temperature.

The current controller does not understand that there is 15 metres of copper piping to pump water through and cycles the circulating pump in short bursts, resulting in the hot water at the collector cooling considerably by the time it reaches the tank (even though the pipes are insulated). The goal of my project is to read the sensor and drive the pump in a way to minimise these heat losses. Basically instead of trying to maintain a consistent collector output temp with slow constant pulsed operation of the pump, I'll first try pumping the entire volume of moderately hot water from the top half of the collector in one go back to the tank and then waiting until the temperature rises again.

I am using an Adafruit PyPortal Titano as the controller, running circuitpython. For I/O I am using a generic ebay PCF8591 board, which provides 4 analog input and a single analog output over an I2C bus. This is inserted into a motherboard that provides pullup resistors for the analog inputs and an optocoupled zero crossing SCR driver + SCR to drive the (thankfully low power) circulating pump. Board design is my own, design is rather critical as mains supply in my country is 240V.

The original sensors are simple NTC thermistors, one at the bottom of the tank, and one at the top of the collector. I have also added 4 other Dallas 1-wire sensors to measure temperatures at the top of tank, ambient, tank inlet and collector pump inlet which is 1/3rd of the way up the tank. I have a duplicate of the onewire sensors already on the hot water tank using a different adafruit board and circuitpython. Their readings are currently uploaded to my own IOT server and I can plot the current system's performance, and I intend to do the same thing with this board.

The current performance is fairly dismal, a very small bump of perhaps 0.5 - 1 deg C in the normally 55 degree C tank temperature around 12pm to 1pm, and this is in Australia in hot spring weather of 28-32 degrees C.(There's some inaccuracy of the tank temperatures, the sensors aren't really bonded to the tank in any meaningful way, so tank temp is probably a little warmer than this. But I'm looking for relative temperature increases anyway)

Right now , the hardware is all together and functional, and is driving a 13W LED downlight as a test, and I can read the onewire temp sensors, read an analog voltage on the PCF8591 board (which will go to the NTC sensors), and I'm pulsing the pump output proportionally from 0-100 percent drive on a 30 second duty cycle, so that a pump drive function can simply say "run the pump at 70 percent" and you'll get 21 seconds on, 9 seconds off. Duty cycle time is adjustable, so I might lower it a bit to 15 or 10 seconds.

The next step is to try it on the circulating pump (which is quite an inductive load, even if it is only 20 watts), and start working on an algorithm that reads the sensors and maximises water temperature back to the tank. There are a few safety features that I'll put in there, such as a "fault mode" to drive the pump at a fixed rate if there is a sensor failure, and a "night cool" mode if the hot water tank is severely over temperature to circulate hot water to the collector at night to cool it. There are the usual overtemp/overpressure relief valves in the system already.

All this is going in a case with a clear hinged cover on the front so I can open it and poke the Titano's touchscreen to do some things.

Right now I am away from home from work, so my replies might be a bit sporadic, but I'll try to get back to any questions soon-ish.

A few photos for your viewing pleasure:

The I/O and mainboard plus a 5V power supply mounted up:

The front of the panel, showing the Pyportal:

Thingsboard display showing readings from the current system:

Mainboard PCB design and construction via EasyEDA:

view more: next ›