I'm a fan of trying to link significant pieces of work to an issue thread, to provide a place for additional context, screenshots and other notes to exist independently of the commit log – see my notes here https://
simonwillison.net/2022/Oct/29/th
e-perfect-commit/
… Agree that forcing it for ALL commits is bad tho
AI
-
Linking significant work to issue threads for better context
By
–
-
Efficient ActivityPub implementations with Python asyncio and Rust
By
–
Yeah I genuinely do worry about that I'm looking forward to more efficient ActivityPub implementations – stuff like Python asyncio on top of SQLite could use a lot less resources than Sidekiq non-async workers and PostgreSQL – or move the noisy bits directly to Go or Rust
-
Open Source AI Platform Benefits Over Corporate Control
By
–
Downside: rough around the edges. Bumpy learning curve. Upside: absolutely no chance of being bought and ruined by a narcissistic billionaire Until a week ago I thought the downsides outweighed the upsides – I have now been convinced otherwise!
-

Big Data Big Responsibility: Ethics in AI and Machine Learning
By
–
as is often said – with great power comes great responsibility ! Big Data, Big Responsibility – DATAVERSITY https://
buff.ly/3NOvgiW
#bigdata #ai #ArtificialIntelligence #MachineLearning #deeplearning #data -
Custom background tasks and SQLite database optimization
By
–
I believe there are background tasks deleting older content – it's certainly not lightweight though Naturally I'm poking around the edges of it to see if I could roll something fun and custom on top of SQLite
-

Command Beta: New Zero-Shot AI Command Capability Released
By
–
Command Beta now available → a new capability that responds to single-sentence commands (i.e., zero-shot prompts). We have some sample shots to get you started → https://
hubs.li/Q01rQq1q0. Sign up to try it out → https://
hubs.li/Q01rQfsR0 -
Learn Declarative ML: Build Models in 15 Lines of Code
By
–
Want to learn about declarative #ML? Join our webinar with @devvret_rishi
, cofounder at @predibase
, to learn:
– About declarative ML systems incl. open-source http://
Ludwig.ai from @Uber – How to build & deploy ML/DL models in <15 lines of code https://
pbase.ai/3Ticrpz -

ReAct: Synergizing Reasoning and Acting in Language Models
By
–
Learn how ReAct, a general paradigm for synergizing reasoning and acting in language models, presents more interpretable, diagnosable, and controllable task-solving trajectories while outperforming reasoning and acting only paradigms. Read the blog → https://
goo.gle/3TiNcDp -
Figma, Adobe Acquisition, WebGL, and AI Discussion
By
–
Just a really good, fiesty Decoder conversation with @zoink about Figma, deciding to sell to Adobe, webGL, AI, and more. So so much more. We really got into it in this one, it's one of my faves. https://
theverge.com/2022/11/8/2344
5821/figma-adobe-acquisition-design-vr-ai-meta
… -
Databricks optimizes cloud VMs with Azure and AMD technologies
By
–
Two of our favorite things: saving our users time AND money That's why we combined the latest technologies from @Azure
, Databricks, and @AMD to help users take advantage of the new Lasv3-series VMs with the Databricks Runtimes. See for yourself https://
dbricks.co/3TdOkIZ