[1] https://notes.eatonphil.com/2024-08-20-deterministic-simulat...
28 karma · joined May 2, 2018
[1] https://notes.eatonphil.com/2024-08-20-deterministic-simulat...
I think latest version of ffmpeg could use whisper with VAD[1], but I still need to explore how with a simple PoC script
I'd love to know more about the post-processing prompt, my guess is that looks like an improved version of `semantic correction` prompt[2], but I may be wrong ¯\_(ツ)_/¯ .
[1] https://ffmpeg.org/ffmpeg-filters.html#toc-whisper-1
[2] https://gist.github.com/eevmanu/0de2d449144e9cd40a563170b459...
https://news.ycombinator.com/item?id=40675527
https://news.ycombinator.com/item?id=43187603
maybe this could help people to be more thoughtful on how they invest their attention
another one could be https://github.com/opencode-ai/opencode
looks very similar to a chrome extension i use for a similar goal: reader view - https://chromewebstore.google.com/detail/ecabifbgmdmgdllomnf...
After reading the Jepsen report on TigerBeetle, the related blog post, and briefly reviewing the Antithesis integration code on GitHub workflow, I'm trying to better understand the testing scope.
My core question is: could these bugs detected by the Jepsen test suite have also been found by the Antithesis integration?
This question comes from a few assumptions I made, which may be incorrect:
- I thought TigerBeetle was already comprehensively tested by its internal test suite and the Antithesis product.
- I had the impression that the Antithesis test suite was more robust than Jepsen's, so I was surprised that Jepsen found an issue that Antithesis apparently did not.
I'm wondering if my understanding is flawed. For instance:
1. Was the Antithesis test suite not fully capable of detecting this specific class of bug?
2. Was this particular part of the system not yet covered by the Antithesis tests?
3. Am I fundamentally comparing apples and oranges, misunderstanding the different strengths and goals of the Jepsen and Antithesis testing suites?
I would greatly appreciate any insights that could help me understand this better. I want to be clear that my goal is to educate myself on these topics, not to make incorrect assumptions or assign responsibility.
is it possible to mention in the article the cost per model to run that benchmark?
- openai meta prompt[1] or
- anthropic prompt generator[2] or
- deepseek model prompt word generation[3]?
you don't see these as user-friendly enough to consider prompt engineering tools? I mean, I feel like they're way more than just guidelines. Seems like they're a step beyond.
[1]: https://platform.openai.com/docs/guides/prompt-generation#me...
[2]: https://docs.anthropic.com/en/docs/build-with-claude/prompt-...
[3]: https://api-docs.deepseek.com/prompt-library - go to 模型提示词生成 card
on each llm provider you can find prompting best practices or techniques to improve your eval prompt and eval your code correctly
at least the feedback loop would be faster
if you already thought about it or already did that, well ... great
edit: btw I don't know which model Whatsapp team is using behind scenes but definitely doesn't looks like is whisper because is notoriously slow in comparison with using whisper inside chatgpt android app or groq web interface.
Previously, I used to send URLs to myself using WhatsApp, but searching through messages on <web.whatsapp.com> is painfully slow compared to Telegram's search capabilities. The speed difference is likely due to Telegram leveraging the benefits of a desktop-native app, though I'm not totally sure why it's so much faster.
Notion supposedly has beefed up its search engine recently, but my last experience with it was about three years ago, and it was frustratingly slow. I've been hesitant to revisit and see if they've actually improved.
[1]: https://telegram.org/blog/albums-saved-messages#saved-messag...
https://faq.whatsapp.com/5957850900902049
Unauthorized use of automated or bulk messaging on WhatsApp
https://faq.whatsapp.com/508673377786103
Seeing the message "Your phone number is banned from using WhatsApp. Contact support for help."
https://www.whatsapp.com/legal/terms-of-service
Legal And Acceptable Use
(e) involve sending illegal or impermissible communications such as bulk messaging, auto-messaging, auto-dialing
https://www.whatsapp.com/legal/business-terms/
Restrictions
(h) create software or APIs that function substantially the same as our Business Services and offer them for use by third parties in an unauthorized manner on or utilizing the WhatsApp platform or our Business Services.
[0]: https://huggingface.co/microsoft/phi-2
[1]: https://old.reddit.com/r/LocalLLaMA/comments/197kweu/experie...
[0]: https://openai.com/chatgpt/pricing#:~:text=8K-,32K,-32K
[1]: https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turb...
- `.` - precision flag [1]
- `150` - precision amount [2] - bytes to count after casting to binary representation
- `B` - special conversion type [3] - bytes
[1]: https://docs.python.org/3/library/stdtypes.html#printf-style...
[2]: https://docs.python.org/3/library/stdtypes.html#printf-style...
[3]: https://github.com/yt-dlp/yt-dlp?tab=readme-ov-file#output-t...
- from a linux computer/laptop
- to an android phone and
- not follow rule 2,
I'd like to suggest another alternative: `adb` (just platform tools) which has the `push` [1] command
push [--sync] [-z ALGORITHM] [-Z] LOCAL... REMOTE
copy local files/directories to device
--sync: only push files that are newer on the host than the device
-n: dry run: push files to device without storing to the filesystem
-z: enable compression with a specified algorithm (any/none/brotli/lz4/zstd)
-Z: disable compression
[1]: https://developer.android.com/tools/adb#copyfiles[1]: https://twitter.com/obfuscurity/status/405016890306985984
[2]: https://web.archive.org/web/20220805112242/https://twitter.c...
[3]: https://web.archive.org/web/20150325003526/http://blog.found...