HNHacker News
TopNewBestAskShowJobs

lulzx

295 karma · joined August 15, 2017

https://lulzx.com
submissionscomments
lulzx··on Show HN: Embedding hidden text in AI images with ControlNet and Modal
Pretty cool application
lulzx··on Show HN: Scriptarious, a basic macOS app to create, edit and launch shell script
Awesome, thanks for sharing!
lulzx··on Ask HN: What's the coolest website you know?
worrydream.com - Bret Victor
lulzx··on Show HN: I made a book with a hundred UI/UX tips
Amazing work, just bought
lulzx··on Show HN: Arturo – REBOL-inspired programming language and VM written in Nim
great work, quite happy to see adoption of rebol's syntax
lulzx··on Show HN: How attractive is your website? Check using Visual Mind AI
wow, that's good looking website you've built! :D
lulzx··on Show HN: Free hosted open-source alternative to Zapier/Airflow
It's license (fair code) sucks.
lulzx··on How much your computer can do in a second (2015)
It's a critical problem, there are three key areas to prioritize to continue to deliver computing speed-ups:

- better software - new algorithms - more streamlined hardware

The performance benefits from miniaturization have been so great that, for decades, programmers have been able to prioritize making the writing of code easier rather than making the code itself run faster.

The inefficiency that this tendency introduces has been acceptable, because faster computer chips have always been able to pick up the slack.

Now, If we want to harness the full potential of these technologies, we must change our approach to computing.

The researchers recommend techniques like parallelizing code. The multicore technology has enabled complex tasks to be completed thousands of times faster and in a much more energy-efficient way.

we will have to deliver performance the hard way.

For algorithms, the team suggests a three-pronged approach that includes exploring new problem areas, addressing concerns about how algorithms scale, and tailoring them to better take advantage of modern hardware.

..many others will need to take these issues seriously if they want to stay competitive.

Performance growth will require new tools, programming languages and hardware to facilitate more and better performance engineering

computer scientists being better educated about how we can make software, algorithms and hardware work together, instead of putting them in different silos.

lulzx··on This Startup Does Not Exist
This one is hilarious: https://www.thiswaifudoesnotexist.net
← PreviousPage 2 of 2