Glean is ~5x cheaper and ~3x higher quality than Claude Cowork. Enterprises no longer need to choose between what AI costs and what it delivers.
https://t.co/8kLp36P4sa
@svpino any tactical tips on what's worked for you to better design verifications for the overall system? ai-gen unit/integration tests are only one piece of the puzzle.
@sameenkarim when a pr is merged, I want the rest of the gh stack on top to automatically rebase on latest master w/o me having to manually run the sync. Is that possible today?
@pk_iv curious if you could expand on leveling up every other function pls? is it the clarity you get by refining the value with every pitch that helps you develop user empathy which is valuable in every function?
At its peak, Sun Microsystems was valued at 205B (394B if inflation adjusted). Sold software in enterprise servers. Got disrupted by Linux, x86, and commodity hardware. Ended up selling to Oracle for 7.4B, losing 96% of its value.
Open source models running on local hardware can have a similar impact given what’s going on.
@delba_oliveira Curious how you think about token efficiency here? Eg if the html generations cost as many tokens as the code while also not being the source of truth, isn’t it better to read the code diff directly?
@nicochristie one could say beyond a certain threshold of difficulty, latency stops mattering coz you're like take a full hour but solve this problem? arguably, mythos-level intelligence is only needed for tasks at that level of difficulty. wdyt?
@rauchg so true, you need to be a software engineer to ensure AI agents can vibe code sustainably. What's a good metric to measure judgement for engineers and projects?