However, I'm thankful everyday that I get to sit in an A/C office and type on a computer. Framing is hard work and ruthless. Most people won't last a day doing it because of how challenging it is.
1,143 karma · joined September 5, 2018
However, I'm thankful everyday that I get to sit in an A/C office and type on a computer. Framing is hard work and ruthless. Most people won't last a day doing it because of how challenging it is.
Even LinusTechTips did a video that showed the length of charging doing more damage than fast charging. For the concern about thermal damage, most phones will throttle their charge if they become too warm.
Personally, I feel my wireless charger in the car does the most damage. It generates more heat and holds the battery in a charging state for longer
If you continue to send telemetry after I explicitly opt-out, then I get to sue (or atleast get a cut of the fines for whistleblowing)
Not a great look here.
However, Tea could have done a modicum of cybersecurity work (or hired an outside firm) to prevent this. If they are claiming to want to keep women safe (and not just running a gossip board) then this should be a red alert for them. No public acknowledgement is concerning...
Its quite funny to see the comments complaining about "lowering the bar" when FedRAMP compliance is essentially a compliance regime that is so convoluted that most startups wouldn't be able to afford the entry barrier.
Now, there is a chance that a smaller vendor could feasibility compete with a massive consultancy like Accenture since the artificial barriers have been decreased.
FedRAMP compliance are also required for SaaS vendors. Datadog is famous for having it (and it took them awhile)
From my understanding, Vulkan and OpenGL are nice but the true performance lies in the specific toolkits (ie CUDA, Metal).
Wrapping the vendor provided frameworks is liable to break and that isn't tenable for someone who wants to do this on a professional basis.
The “insecure crypto “ that they clearly link to (despite not wanting to put them on blast) was also a bit overdone. I guess we all are stuck hiring this expert to review our crypto code(under NDA of course) and tell us we really should use AWS KMS.
OTel is a bear though. I think the biggest advantage it gives you is the ability to move across tracing providers
Rust doing these things has lead the language to being an example of what not to do in OSS.
I assume its some sort of ML? Are you using an external LLM? Any insights into building recommendation systems would be awesome!
The coverage is not hyperbolic, it hits on real concerns that the courts will now be involved in every controversial decision. Previously, if your company was involved in something that would fall under the governance of a governmental agency, like dumping some new chemical into a body of water, the EPA could be brought in to make a ruling on the matter.
Now, that ruling might not be in the best interest of that company depending on the level of regulatory capture.
In our current world, that organization will now file a lawsuit to block the ruling of the govt organization and cite the removal of Chevron deference. Then a long, tedious process of court rulings might follow. With the ultimate ruling mentioning "the Clean Water Act does not mentioned chemical XYZ specifically by name". Resulting in the company continuing to release said chemical.
When a new toxic chemical enters the water supply near your home, I hope that your congressman responds promptly. In my experience, they have been quite slow moving on most of my concerns...
Some example use cases would be writing some basic tests to validate a UI or automate some form-filling on a javascript based website with no API.
Seriously though, it feels like support exists as a hurdle to get to engineering. I have never had a serious issue that was resolved by support. I miss when customer engineers or customer support actually was treated like a value add part of the business.
This paper demonstrates that there are still some major gaps where simple problems confound the models in unexpected ways. These is important work to elevate otherwise people may start to believe that these models are suitable for general application when they still need safeguards and copious warnings.