Why is everyone making fun of this Indian AI?

Last Day..

Sarvam AI released..

India’s own AI LLM — Sarvam-M

A 24 billion parameter LLM, built on top of the open-source Mistral-Small model.

Velya Hypinu shesham huggingface il launch cheythappo..

2 days-il 23 downloads mathram…

Internet is comparing this to

“Dia” model by 2 Korean students got 2 lakhs+ downloads 😳

Everyone is mocking India right now ..

But what happened to Sarvam AI?

Is it really that bad ?

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In today’s post:

• 🇮🇳 Will Indian AI Rise or Fall from this?

🧠 Enthanu Sarvam-M?

• 24B parameter hybrid LLM

• Built on top of Mistral-Small

• Trained on 10 Indian languages

• Focus: math, programming, multilingual chatbots

IndiaAI Mission fund cheytha sovereign model-inde first step aanu ee Sarvam-M.

Pakshe model public aayi koduthappol… koode hype um criticism um vannu.

📉 How this Backlash Started Fast

He said: “This is embarrassing.

Tech Twitter started roasting:

“Nobody asked for a slightly better 24B Indic model.”

Fans expected a grand product — what they got was a fine-tuned mistral with patriotic branding.

But… some still praised it:
✅ Strong on Indic languages
✅ Good performance on math and coding benchmarks
✅ Open weights = more transparency

So what’s the real story?

📊 Benchmark Scores: Not Bad at All

Sarvam-M actually beat some bigger models on India-specific tasks:

Top performer in:

• Indic languages

• Code generation

• Math problems

Weak point? General English knowledge — slightly behind global giants.

😬 But Why It Didn’t Click?

1. Overhype aayi.
   Govt + media hype = “ChatGPT of India” feel.
   Pakshe reality: just a fine-tuned Mistral.

2. Killer app illa.
   Launch time-il chatbot, product, API — onnum illa.
   Engane use cheyyanamennu polum alkkark manasilayilla.

3. Market need miss cheythu.
   Translation tools already und, Indic AI models und.
   Nammude AI user base majority English use cheyyunnu. Athil mathram rely cheyan ee model enthinanu?

4. Poor launch visibility.
   Indiaile dev community ithinepatti kooduthal arinjillayirunnu.
   Local Telegram groups-il polum mention illa.

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🧘 Pakshe Patience Undaavatte

Sridhar Vembu (Zoho): “Oru product um overnight hit aayi kazhinjittilla.”

Sarvam team parayunnu —
Ithu just first version aanu.
Next – 70B parameter sovereign model is coming, with full government GPU power 🔥

🌏 What Other Countries Are Doing

🇰🇷 South Korea: 1.6B Dia → 2 lakh+ downloads
🇨🇳 China: open models month-on-month
🇺🇸 Meta: LLaMA free; OpenAI: Closed SaaS route

All countries mixing govt support + developer community.

India still struggling to bridge that gap

🚀 India AI-ku Enthanu Next?

✅ Solve Real Problems.
Edu-tech bots, multi-lang government chat, agri assistant — real use-cases vendi build cheyyanam.

✅ Dev-friendly aakkanam.
Easy API, documentation, sample apps.
Hackathons, open tools, AI dev community activate cheyyanam.

✅ Iterate Fast.
Small models, lite versions, tools integrations.

✅ IndiaAI Mission support proper aayi utilize cheyyanam.
Just training model mathi.
Show real deployment and impact.

Sridhar Vembu (Zoho): “Oru product um overnight hit aayi kazhinjittilla.”

Sarvam team parayunnu —
Ithu just first version aanu.
Next – 70B parameter sovereign model is coming, with full government GPU power 🔥

🎯 Final Thought

Sarvam-M fail alla.
Ithu oru mirror aayi India AI ecosystemine nokkanm

🔥 Ambition und.
📉 Execution kuravund.
🔄 Feedback loop vende.

India has the talent.
But traction venam.
Let’s hope Sarvam team takes this criticism constructively and makes the next version a real game-changer.