Hacker News with Generative AI: Cost Reduction

New LLM optimization technique slashes memory costs (venturebeat.com)
Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications on top of large language models (LLMs) and other Transformer-based models.
Duolingo: We reduced our cloud spending by 20% (duolingo.com)
Duolingo has come a long way since its humble beginnings—in just the last few years, we’ve doubled down on improving beloved features like Stories, and creating immersive lessons like DuoRadio and Adventures, just to name a few.
How GM Is Going To Cut EV Prices By $6,000 Per Vehicle (insideevs.com)
The race is on for cheap EVs. Seriously—almost every automaker is hellbent on duking it out to get cheaper EVs on the road, especially to compete with cheaper Chinese vehicles on America's doorstep. It looks like General Motors may have finally found a way to cut costs significantly on the most expensive part of an electric car: the battery.
Show HN: Visual DB – Web front end for your database (visualdb.com)
Developing and maintaining internal applications to enter and update records in a database is expensive. Now you can significantly lower costs by using Visual DB instead of developing custom applications.
Intel to Cut Jobs to Reduce Costs, Fund Rebound (bloomberg.com)
OpenAI slashes the cost of using its AI with a "mini" model (wired.com)
Why replacing Postman for Bruno saved my company millions (really) (ycombinator.com)
Directed energy weapon replaces million-dollar missiles at 13 cents a shot (newatlas.com)
Show HN: Reduce ChatGPT costs 10x with distributed cache for LLMs (edgematic.dev)