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> can probably get an additional 5% to work with various levels of tweaking

My big complaint is the number of titles that receive a Platinum rating on ProtonDB, in spite of technical issues. I have purchased more than one title with a Platinum rating that had significant issues running on my machine.

This is compounded that Steam/ProtonDB user reports typically have an abysmal level of detail to replicate a working configuration. Someone got it to run flawlessly, but there is so much wine configuration jargon that each time I need to dig into the issues, I waste time on something that otherwise would work on Windows. I would love if there was a 'share my Proton configuration' per game that could be made available to the community.

I have had such enthusiastic feedback from granting people access to the ~full dataset. They have been conditioned to expect whatever subset can fit inside an email or a powerpoint slide. I feel a little embarrassed when people fawn over the utility because it is so easy to get running.

Have not yet had a chance to try the idea, but I am toying with using render-images to bake in pre-built plots + markdown for reporting the output. Queryable report in a file. Dynamic Vega plotting (RShiny-ish) is also in the back of my mind, but that feels too close to magic.

It is an incredibly useful tool, and I appreciate the workflows you have enabled.

I work in a research organization where I am responsible for crunching data and produce reports highlighting the most "notable" results. Not that the other data is uninteresting, but the volume is such that Excel cannot handle it and even distributing it can be challenging for non-computer-technical folks without dedicated solutions.

Instead, I can dump all of the processed results into a table, create some views highlighting analysis X vs Y, and share links that give others the ability to ask questions I had not even considered. Now the user is empowered to ask anything and they do not need to engage me for "simple questions". Everybody wins. I believe there is also an extension that allows you to generate and save new queries through the web interface.

It is not a tool for a professional analyst, but a means to collaborate with others. There are heavier/more feature rich alternatives, but Datasette is my favorite tool for getting results out the door without hassle (can run it off of a laptop after a pip install).

This looks super interesting, I have previously considered using the Bayesian Optimization[0] package for some work, but the ability to switch out the underlying algorithms is appealing.

Perhaps a bit of a far out question - I would be interested in using this for optimizing real-world (ie slow, expensive, noisy) processes. A caveat with this is that the work is done in batches (eg N experiments at a time). Is there a mechanism by which I could feed in my results from previous rounds and have the algorithm suggest the next N configurations that are sufficiently uncorrelated to explore promising space without bunching on top of each-other? My immediate read is that I could use the package to pick the next optimal point, but would then have to lean on a random search for the remainder of the batch?

0: https://github.com/fmfn/BayesianOptimization

Titan was the most premium card available and probably not representative of a typical build.

Should that be future-proofed and be per mm^3? I was under the impression that designs are becoming more three dimensional.

What will it take for there to be a sel4 router/firewall I can build/buy? Anything directly connected to the internet needs these kind of security guarantees.

>They had the 'natural gift' of picking up on the clues hinting that DNA, rather than protein, was central to the mechanism of biological inheritance.

That was Hershey and Chase [0]. Watson and Crick were the first to solve the structure of DNA.

[0] https://en.wikipedia.org/wiki/Hershey%E2%80%93Chase_experime...

I recalled this story [0] where the Koch brothers said they would organize $1 billion to conservative groups for the 2016 election.

[0] https://www.cbsnews.com/news/koch-brothers-network-will-spen...

>the Intel i5/i7/i9 were the processors of choice for gaming, but AMD's Ryzen line has been making remarkable inroads

I just checked my go-to hardware recommendation site, Logical Increments[0], and not a single Intel CPU makes the list. AMD everything.

[0] https://www.logicalincrements.com/

> Git will be hard to beat

If I were the Anu people, I would focus on having a seamless compatibility layer that could manage Git <-> Anu repositories (there are undoubtedly many headaches that would occur synchronizing the two different models). This would allow developers to silently interact with ongoing git repos using the "better" tool. Getting wholesale migration to a new platform seems a significant challenge, but allowing developers to slowly build mind share with an improved workflow would be possible.

Disclaimer: I hate git.

This makes me wonder, why there has not been a bigger push towards microkernel/minimal OS with audited toolchains that were "done". Minimal features and minimal surface area. A plug and play distribution with security at the forefront which rarely needed updating because only the essential was available.

I would be fine taking a healthy performance hit if I knew that the base OS was secure. (At this point I expect the BSD folks to chime in that they have had this for years)

Remote has been a game changer for my development as well. Work forces me on a Windows machine with the full suite of corporate spyware. Said spyware loses its mind when compiling, debugging, language server inspection, git actions on large repo, etc. Performance loss is somewhere in the region 2-10x.

With remote, I am able to do all coding on a non-infested Linux server with almost seamless usability.