Coral Acceletor is only needed if you run setup that does not have GPU or enough CPU. Spare laptop usually has enough power to handle AI detection, but RasPi doesn’t. I run mine in CPU at rack server.
Cameras own detections are limited in my experience, and it is much harder to integrate to anything else, like HomeAssistant for notification & automation
HomeAssistant + Frigate combo is just plain awesome. You can leverage the automations of HA through Frigate’s AI detection, so you get things like notifications.
This can be resolved by building the data centers to cold countries like here in Finland. Servers are very good at converting electricity to heat, and the heat can be used to heat homes.
Microsoft Azure data center in Espoo is going to heat up 60% of the city’s district heating network.
Also the electricity here in Finland is one of the cleanest, like in all Nordics (hydro, wind, nuclear)
Or it means that the opposite is on Russia payroll. Also both can be true at the same time.
Yes, just flip binary directly to the cpu
There is huge gap between 3.5 and 4 especially in coding related questions. GPT3.5 does not have large enough token size to handle harder code related questions.
Single software engineer can nowadays do more harm than most of other engineers. Just one SQL injection and all the people’s personal data have been leaked. Single bug in car self driving software and the car drives in to school bus.
The porn companies should together agree that they will create a public record of all conservative politics viewing habits if the bill is passed. This would kill any bills in a millisecond.
I would suggest more learn by doing approach. Learning OSI model etc is nice, but it is quite jargon :)
Use some old PC as a server, and get some network cards into it, and use it as firewall/router. Route your home network/NAT/DNS/DCHP through it. Raspberry Pi’s are nice, but their hw is still bit limited.
OPNSense is quite nice and easy free and open source firewall/router solution.
If you want to add bit of flexibility, you can use some virtualization platform like VMware in to the machine, so that you can run OPNSense in it, with some other virtual servers.
Then when you get things working, you can start looking in to VLAN’s, because they are quite important part of enterprise networking. Most cheap switches nowadays support VLAN’s out of the box.
This might change now relatively fast, now that large language models can process code, you could give the function to LLM to rename the function. Iterating over the code and rename all functions and variables.
This won’t of course reproduce exact code, but it makes one really heavy part of reconstruction to human readable much lighter.
Could be easily made 50% space saving by only iffin all odds and return even on else. Maybe one if before to handle overflow to avoid wrong even if over the last if.
Here in Nordics datacaps outside of mobile are unknown. Unlimited is standard here.
Combining EV and plugin hybrids together is quite strong indicator that this study has agenda attached.
Plugin hybrids were the most unreliable. Tech wise all hybrids are more closer to gas powered than EV’s. Of course plugin hybrids are more unreliable, you have two engines, so you get issues from both.
Of course, but because it is perfect, no one, not even myself, needs to fix/modify/extend/understand
/s
Fuck me, never touch my code, it is perfect.
What if int overflows? Is it still false?
I use rasp as Bluetooth receiver for my home assistant sensors (Ruuvi tags mainly)
If those users are just dead weight to them, it makes business sense to even convert 10% them to their main ad filled product, and let the 90% go away. They want to go public and sell, they are definitely last stage of pulling a cash grab.
You can add IPS to port to add some security checking, but yes, in general port is never secure or unsecure.