agnokapathetic

the institution of democracy should not require a neutral point of view.

Electrical signal attenuation increases with the square of the distance

not true. in standard HV-AC lines, power losses are ~10% per megameter. HVDC gets to 3-5%. So Nevada to Seattle would be at most 20% loss, and in practice 15%, and with HVDC closer to 7%.

https://www.nationalgrid.com/sites/default/files/documents/1...

it uses LPDDR5x instead of the datacenter variant’s HBM3e.

reminds me of Macromedia MXML (used in Flash, Coldfusion and Flex)!

https://github.com/apache/royale-asjs/blob/develop/examples/...

claude code has a Jetbrains plugin which is delightful!

https://en.wikipedia.org/wiki/OpenAI_Five

https://openai.com/index/gym-retro/

per The Information -- investors don't get screwed, the board repurchased all shares at $88/share ($2.5B valuation).

did they try to Google "how to make LSD"? several widely available guides. Tired of LLMs being seen as "risky" for doing the same thing search engines and blogs have been doing for two decades.

this is just from Share Embeds.

they now disclose these are used at login.

mRNA vaccines are about getting mRNA into just a few non-specific cells which then instructs the cell to produce Corona Virus Spike Protein. This gets identified by the immune system which then makes antibodies targeting the spike protein.

So the mRNA only needs to get taken up by a few cells to produce an immune response.

The HIV CRISPR-Cas technique needs to target several orders of magnitude more cells in the body, and is performing a far more complicated procedure than simple transcription like with an mRNA vaccine.

They're pretty clear about it though erring on the conservative side.

While none of the above results were statistically significant, we interpret our results to indicate that access to (research-only) GPT-4 may increase experts’ ability to access information about biological threats, particularly for accuracy and completeness of tasks. This access to research-only GPT-4, along with our larger sample size, different scoring rubric, and different task design (e.g., individuals instead of teams, and significantly shorter duration) may also help explain the difference between our conclusions and those of Mouton et al. 2024, who concluded that LLMs do not increase information access at this time.

it’s a discrete Image Processing Unit

https://en.wikipedia.org/wiki/Image_processor

batch size 1 -- this is a terrible benchmark that really only shows memory bandwidth only -- LLM inference on Llama2-70b is memory bound up to a batch size of a half dozen or so.

But equities investors value cloud growth for all of these companies, and AI spend is high enough that even if the margin isn't there, the revenue growth will make the street happy.

CSS Image Sprites https://www.w3schools.com/Css/css_image_sprites.asp

"In some specific tasks, a finetuned 7B llama can work as well as GPT3.5."

"some" is doing a lot of heavy lifting here.

Also: don't discount the labor cost of curating a fine tuning dataset, running a FT training run, even if the hardware is cheap.

This has been shared with Slack many times by many separate organizations and always closed with WontFix / Working as Expected

Random aside: The author of this, Bob McGrew, is now the VP of Research at OpenAI.

OpenAI has committed to never training on API data. You no longer need a DPA for this.

https://openai.com/enterprise-privacy

It's quite easy to opt-out of OpenAI using your data for training. API and ChatGPT Enterprise are private by default.

# OpenAI Products and Privacy

- ChatGPT Free - trains on your data unless you Opt Out

- ChatGPT Plus - trains on your data unless you Opt Out

- ChatGPT Enterprise - does _not_ train on your data

- OpenAI API - does _not_ train on your data

Opt-out link: https://help.openai.com/en/articles/5722486-how-your-data-is...

A lot of the people making purchasing decisions to acquire products like Tailscale are in security departments and have a very low opinion of Mullvad (VPN of choice for all kinds of abusive/fraud/hacking traffic).

This would be a violation of GDPR and CCPA and would expose them to massive litigation liability.

There are two different mechanisms here:

Disabling "Chat History / Training" in ChatGpT Settings will disable chat history.

Opting out through the linked form in that FAQ will allow you to keep chat history.

Because it's clear as mud from a privacy perspective:

# OpenAI Offerings

- ChatGPT Free - trains on your data unless you Opt Out

- ChatGPT Plus - trains on your data unless you Opt Out

- ChatGPT Enterprise - does _not_ train on your data

- OpenAI API - does _not_ train on your data

# Microsoft Offerings

- GitHub Copilot - trains on your data

- GitHub Copilot for Business - does _not_ train on your data

- Bing Chat - trains on your data

- Bing Chat Enterprise - does _not_ train on your data

- Microsoft 365 Copilot - does _not_ train on your data

- Azure OpenAI Service - does _not_ train on your data

Opt-out link: https://help.openai.com/en/articles/7039943-data-usage-for-c...

GPT-4 as served in the API has been getting 85% on HumanEval (compared to 69.5% claimed here)

https://twitter.com/amanrsanger/status/1635751764577361921 https://github.com/getcursor/eval

The response time you get from a Pay-as-you-Go account on OpenAI is not anything close to what you get with an Enterprise Agreement. If your usage is large enough, talk to your account rep.

That 40kJ/L is for the entire system including the cyronics. Get rid of the cyronics and the system gets far far more energy dense.

No. The Notion was not very much the same. Medieval views of the Torah / Old Testament were very much informed by anti-semitism.

Medieval crusaders would have balked at the idea that Jewish and Christian values could have any form of harmony.

They're essentially just doing light final assembly/packaging on Bafang ODM subassemblies.

Link is broken