Update model card

README.md

@@ -21,7 +21,7 @@ Keeper is the text safety model inside Lighthouse, a child safety app from Prosp
 
 We built it for Nigerian children. It understands Nigerian English, Pidgin, Yoruba, Hausa and Igbo, including the way teenagers actually type: mixed languages, slang, no tone marks, typos.
 
-This is our first version. It is useful, it is not finished, and the weak spots are listed below.
+This is our first version.
 
 ## What it does
 
@@ -92,17 +92,6 @@ For comparison, the phrase word list that Lighthouse used before scores 37% on t
 
 The 557 messages we wrote are published as a test set: [Prosperitytech/keeper-nigerian-safety-test](https://huggingface.co/datasets/Prosperitytech/keeper-nigerian-safety-test). Keeper gets 84% on that part. The tweets and the OpenAI pack are not ours to republish.
 
-## Where it falls short
-
-- **False alarms.** Look across all 13 categories and Keeper flags something in about 28% of ordinary safe messages. Most of those are at level low. With a 0.8 cutoff that drops to about 14%, and it then catches about 77% of what the teacher calls risky. Pick the cutoff for your use.
-- **It reacts to the style of AI-written text.** Many of the new Yoruba, Hausa and Igbo examples were written by a model, and Keeper partly learned that style as a risk signal. Real Yoruba and Hausa chat may score lower than our test suggests. Fixing this is the main goal for the next version.
-- **The test is small.** About 100 messages per African language. A single score can move by 5 to 10 points from luck.
-- **Hausa and Igbo are behind Pidgin and English.**
-- **Text only.** It does not look at images, voice notes or links.
-- **One message at a time.** Grooming and bullying often only show up across a whole conversation.
-
-Keeper is meant to help a parent notice something. It should not make decisions about a child on its own.
-
 ## Data we trained on
 
 All of it allows commercial use. Thank you to everyone who made these public.