LukeEF
The Semantic Web Is Dead – Long Live the Semantic Web
Parallelising Heirarchical Small World Graphs
Entity Resolution with AI: DBLP and ACM Publication Benchmark
Destructing Trees Safely and Cheaply
A Giant Data Merge
Google DeepMind’s game-playing AI just found another way to make code faster
Are AI startups too easy to copy?
Building a Vector Database to Make Use of Vector Embeddings
Open Source Text to Video
We wrote a vector database in a week (in Rust)
Anthropomorphism in Dialogue Systems
[1] https://github.com/terminusdb/terminusdb/blob/dev/docs/white...
Solution to the Object Relational Impedance Mismatch
Schema migrations as first class citizens
Hollywood is best example of labor power in America
Tech workers could take labor lessons from Hollywood’s writers
Why S.F. can’t pay its teachers on time
AI’s biggest risk isn’t ‘consciousness’–it’s the corporations that control them
'LoRA is an incredibly powerful technique we should probably be paying more attention to
LoRA works by representing model updates as low-rank factorizations, which reduces the size of the update matrices by a factor of up to several thousand. This allows model fine-tuning at a fraction of the cost and time. Being able to personalize a language model in a few hours on consumer hardware is a big deal, particularly for aspirations that involve incorporating new and diverse knowledge in near real-time. The fact that this technology exists is underexploited inside Google, even though it directly impacts some of our most ambitious projects.' [1]
[1] https://www.semianalysis.com/p/google-we-have-no-moat-and-ne...