Machine discovery

Machine learning was one level; the next level is machine discovery. At that level, machines find and generate the data needed to test hypotheses. Google’s discovery of fast matrix multiplication is a good example. I see one clear problem that could serve as a benchmark "optimization": we can assemble hundreds of training tasks as benchmarks, have code-generation models produce PyTorch optimizers, and evaluate them on speed and final performance. Once the setup is complete, little human involvement is required—though contributors can still add new benchmarks.

Data Asset Liability

with the increasing amount of ai generated data, data turns from asset to liability

Developer productivity

Developer productivity is not bounded by code generation but with futile challenges of authentication, database schemas, wrong configs or dependencies most of the time.

Turkce Tekelemeler 10

Ey Edip Adana'da pide yE (Bu klasik bir palindrom)

Turkce tekerlemeler 9

Bilal bile bile bulbule bal buldu Bulbul bu bal ile bi lal oldu Bil, al, bu balda dut bol boldu

Turkce tekerlemeler 8

binbir turlu turlu yedim, bi turlu hu turlu bir turlu yemedim