z991

Their YouTube channel is equal parts fascinating, terrifying, and boring: https://youtube.com/@uscsb

There's an important detail here -- an advantage of mRNA vaccines is that mRNA does not last all that long in cells [1]. Thus, even if the cells live a long time, they won't produce spike proteins for very long (instructions for the production will be degraded and thus not available).

The vaccine's longer-term effectiveness comes from the immune system's memory B cells response to the short-lived expression of spike proteins.

[1] https://en.m.wikipedia.org/wiki/Messenger_RNA#Degradation

Wow that is also very cool. For those wondering, this is what it looks like:

  $ sudo apt install slop
  $ slop
       <selects an area on screen>
  1719x1403+1080+277

Built it and took a fullscreen screenshot with GIMP to figure out the width/height/x/y coordinates I wanted and tested with Google Meet. Working perfectly!

Wow, this is fantastic! This exact use case, on Linux, is why our company selected Zoom instead of Meet.

Awesome!

Wayne Hale is always my favorite source for these: https://waynehale.wordpress.com/2014/10/26/sts-93-we-dont-ne...

I commend the authors on making this easy to try! However it doesn't work very well for me for general voice cloning. I read the first paragraph of the wikipedia page on books and had it generate the next sentence. It's obviously computer generated to my ear.

Audio sample: https://storage.googleapis.com/dalle-party/sample.mp3

Cloned voice (converted to mp3): https://storage.googleapis.com/dalle-party/output_en_default...

All I did was install the packages with pip and then run "demo_part1.ipynb" with my audio sample plugged in. Ran almost instantly on my laptop 3070 Ti / 8GB. (Also, I admit to not reading the paper, I just ran the code)

You have a custom prompt enabled (probably from viewing another one and pressing "start over") that is asking for opposites which will increase the noise a lot.

The entire thing is frontend only (except for the share feature) so the server never sees your key. You can validate that by watching the network tab in developer console. You can also make a new / revoke an API key to be extra sure.

No, in that case there is a custom prompt (visible in the top dropdown) telling GPT4 to replace everything with corgis when it writes a new prompt.

https://dalle.party/?party=RqpIijhH

Wow the empty prompt does much better than I'd have guessed

You can try a custom prompt and see if you can get GPT4V to stop doing that / if it matters.

Yeah, that's a bug, I'll try to fix it tonight!

Also, descent into Corgi insanity: https://dalle.party/?party=oxXJE9J4

Summary: https://pdf2gpt.com/?summary=a60cdd709ca243599185af0f8513e33...

Actual paper: https://arxiv.org/abs/2310.10631

Summary: https://pdf2gpt.com/?summary=ecb8a970ea5c4a41ab985eca15b7740...

Summary: https://pdf2gpt.com/?summary=3ade1d183ee74c0aa8fff901e892dc5...

The actual research article: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4573321

Summary: https://pdf2gpt.com/?summary=84ff84d4b98b4f0c985a17d07db482c...

You might like pdfpc: https://pdfpc.github.io/

and the cost to get it into place...

Your comment reminded me of "No Time on Our Side," a book about a submersible laying cable near the UK that sunk after a hatch failed during recovery operations. The author (who was a pilot in the submersible) details the incredible rescue effort to bring them back to the surface alive over a period of about 3 days.

A wonderful book and also one that made me appreciate how hard it is to lay cable (in some places).

there is no 'battery safety box' that I could readilly buy

Take a look at Bat-Safe LiPo boxes. They are designed to contain the heat and prevent your entire house from going up from a drone battery fire.

Vinay,

I'm as close to a True Believer for this product as you'll find. I'm typing this from a Blade 15 in Ubuntu I bought 2 weeks ago for deep learning (not knowing about the Lambda collaboration!)

I've been using Razer laptops for years and use Lambda boxes at work. All great computers. As you can imagine, running Linux on these is a chore (my current adventure [1]) so I'm very excited to see some official support.

I have many questions, but the first is something that seems so obvious from the outside: Razer clearly has a battery-failure problem. From my perspective this is because these laptops are plugged in most of the time and have no control to avoid changing to 100% and holding the battery there. Over the lifetime, that's terrible for the battery and most vendors do something about it. Apple will not always charge to 100% via some mysterious schedule, an older Dell Latitude I had used a setting in the BIOS to charge to 90% when plugged in for a long time.

Why doesn't Razer get their BIOS vendor to do this? At this point it feels like a reputational problem, and one that is well deserved. I've bought 4 Razer batteries on eBay for 3 different laptops and expect to buy a fifth for this machine in a few years.

Regardless, thanks for making the first laptop I've ever seen that feels like it was made for me. Can't wait to try one out.

[1] https://abarry.org/ubuntu-on-razer-blade-15-2022-advanced/

Vector Engineering, Broad Institute of MIT and Harvard | Software Engineer, Data Science | Full Time | Cambridge, MA | ONSITE | https://vector.engineering

Our group (https://vector.engineering) at the https://www.broadinstitute.org aims to bring genetic therapy closer to the clinic, by engineering next-generation gene delivery vehicles (adeno-associated viruses – AAVs)

At the Broad Institute, we benefit from a unique blend of blue skies academic research and biotechnology-driven projects. We have access to state-of-the-art facilities and unparalleled collaborative support from academic and industry partners.

Hiring for multiple roles:

Multiple openings: Software Engineer / Bioinformatician / Biostatistician / Data Scientist:

  - Possible projects include:
    - Cutting edge data science to integrate, curate, and mine complex datasets to develop next-generation AAV vectors
    - Terabyte-scale databases for large DNA sequencing datasets
    - Data visualization – concept to implementation
  - This role does not require a biology background, but an excitement to learn from wet-lab molecular biologists.  Knowledge of statistics, algorithm design, data analysis and visualization desired.

  - Platform for scientists/public health officials to analyze mutations in emerging SARS-CoV-2 strains
  - Add key features and expand the impact of the site.
  - General purpose web-development skills desired
  - Substantial opportunity to build methods/interfaces for analyzing data that are accessible to our wet-lab scientists.

If you're looking for more, I strongly recommend "The Road to the 707." A thoroughly well researched book that explains why under-wing engines don't cause the apparent wing thickness to be too large (engines are in fact in front of the wings [1]). It's one of my favorite technology development books.

[1] https://en.m.wikipedia.org/wiki/Boeing_707#/media/File%3AB_7...

I've found that earlyoom [1] can at least save me from having a complete freeze. There are packages for most distros.

[1] https://github.com/rfjakob/earlyoom

It wasn't creepy. It seemed like they were worried about folks who thought it was more like 23andMe "spit in a tube" than an actual lab instrument.

Yes the raw data is all there. The analysis just generates more interesting pictures!

Here's my write-up of buying one for fun: https://abarry.org/dna-sequencing-in-our-extra-bedroom/

On Ubuntu, earlyoom basically does that. It's great.

  sudo apt install earlyoom