dgriffith

joined 2 years ago
[–] dgriffith@aussie.zone 9 points 6 hours ago* (last edited 6 hours ago) (1 children)

Your ISP can theoretically use your home Wi-Fi router to track your movements.

This requires ancillary hardware that isn't present on wifi routers, and then it also requires wifi devices spread around the place to provide a signal source for human bodies to distort, and then it requires significant computational hardware that also isn't present in common home wifi routers.

Not to say that the general method can't be used for basic presence detection - Philips Hue ZigBee devices can use the variations in the background signal strength of ZigBee devices they can see around them to infer that someone is in a room, so they can switch lights on/off automatically. But it requires multiple devices in a room for it to work reliably and they need calibration as well.

[–] dgriffith@aussie.zone 22 points 1 day ago* (last edited 1 day ago) (2 children)

Not so much when you understand that Hook doesn't just want to kill Pan , he wants to make him suffer for losing his hand. It was all a game to Pan, but Hook was the one with the hook for a hand now.

So after what seems to be an eternity of him chasing this idiot, insufferable, man-child, the now-quite-crazed Hook has broken into his mortal enemies home, and now spots him asleep in his bed.

[–] dgriffith@aussie.zone 2 points 2 days ago

It worked, about 6 years ago.

Then I found that it kept "accidentally" getting reset "somehow" and dumping me into New Reddit, how strange.

[–] dgriffith@aussie.zone 13 points 4 days ago

It's not brilliant, it's something a software engineer should have mentioned in the first 5 minutes of the initial design meeting. It very likely was.

So what you need to understand is that mashing Bing and local results together was a deliberate design decision. Whether to artificially inflate Bing search numbers , or to get that sweet cash from sponsored results, who knows?

[–] dgriffith@aussie.zone 15 points 4 days ago* (last edited 4 days ago) (1 children)

The CPU in an average consumer PC can do tens of billions of instructions per second now. 10,000,000,000+ instructions per second. And then it can also offload some work to other devices. Here, graphics card, deal with updating this display at 144Hz. Hey network card, take this buffer and squirt it out the ethernet port at a 1 gigabit line speed for me.

And even with all that help, it still takes for-fucking-ever to get shit done. What the fuck are all those instructions doing‽

[–] dgriffith@aussie.zone 24 points 4 days ago

Not 622 miles, it'll fall out of the sky if you fly a single mile further.

Just another example of excessive precision: 621 miles is 200 metres shy of 1000 kilometres.

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

I had a MythTV system with an Athlon 700 cpu around 2005 as a DVR and somehow it was a ripping machine.

Using MythTV's built in encoder it could rip a standard feature length DVD to about 800MB in about 45 minutes, so I've got plenty of 2000's DVDs from the local video store on file still. The process was basically, watch movie via MythTVs interface, leave DVD in, select "encode" from the menu in MythTV, and about 45 minutes later, done.

A few years earlier I was putting bulk Looney Tunes cartoons onto VCD for my children, pretty much wore our DVD player out with those discs haha.

[–] dgriffith@aussie.zone 9 points 1 week 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 29 points 1 week ago* (last edited 1 week 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 1 week 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 148 points 1 week 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 17 points 1 week 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.

 

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:

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