🚨 Michael Burry Sounds the Alarm on the AI Bubble
Nvidia derives 64% of its revenue from just three hyperscalers.
The current AI hype? According to Burry, it’s just “empty airplanes” — benchmarking and testing workloads that may eventually come to an end.
On top of that, there are reportedly $662 billion in hidden off-balance-sheet commitments through opaque private equity and insurance structures.
If the major players start pulling back, the entire chain could feel the impact.
Time to switch to Alpie Core by @169pi.ai
✅ 32B reasoning model in 4-bit
✅ Frontier-level performance in reasoning, coding, and mathematics
✅ 10× cheaper, 3× faster, and requires 75% less VRAM
✅ Runs on standard hardware — no hyperscaler dependency
✅ Live API + 5 million free tokens with your first API key
No more expensive cloud bills. No more bubble risk.
Just powerful, affordable AI for agents, research, and automation.
Switch now → https://t.co/gpB6VRcsgq
#AlpieCore #169pi #AI #SustainableAI #NoMoreBubble
Yes @cryptorover you are right. The AI bubble is cracking under 100B$+ capex, 14B$+ losses and circular revenue.
@169Pi_aifixes it. Alpie Core has 32B parameters in 4-bit precision. It outperforms other AI models on reasoning and coding while using far less compute, memory & energy. The new model will directly compete with the strongest AI models from this moment.
Low costs = enough compute for everyone!
The future of AI isn't bigger and more datacenters, it's getting smarter without big datacenters.
https://t.co/FqPpJGsBGX
@brian_armstrong Awesome, now need a good listing for @169Pi_ai , developed by 2 Indian brothers who are Forbes India 30 under 30 . Have been incubated by @reliancejio . Check them out
My thesis for Alpie / solana:aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory
solana:aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory is the first solid LLM play ive found in crypto, and its pretty insane
Easy bullish points:
-CEO on Forbes 30 under 30
-Potential VC's?
-Approximately 1.9M usd revenue (Bigger then its MC)
Everyone is chasing bigger models and bigger compute
This is a big problem due to the lack of compute and infrastructure...
Alpie is going the other way:
-cost-efficient AI
-32B reasoning model
-4-bit quantized
-AI workspace
files, agents, coding, research, PPTs, team collab, API access
basically trying to make AI usable at scale without the insane bill, or having to wait for tokens
FAFO
I really can't spell it out clear enough!. $PIE has such insane growth metrics and has the potential to be the next 1000x.
Why?
Here is @Rajatarya01 of @169Pi_ai,
in an interview with @ndtv (a news outlet) who have 17M followers and 279 million views on their YouTube. Being on of the most popular outlets.
This was hosted at @OfficialINDIAai AI summit where Rajat also took stage presence on a panel.
The founders @BizChirag & @Rajatarya01 of Alpie Core the product of @169Pi_ai which is a 32B-parameter 4-bit (NF4) quantized reasoning model, trained on 8x H100 GPUs, runs on - 16GB VRAM.
The founders have made @ForbesIndia 30 under 30, named top 5 Indian AI start ups to watch @Inc42. Have lead talks on AI with @tedxkiet. They have their fair share of accolades.
Now let's look into what could drive the price of $PIE the utility token tied into the Alpie Core platform.
1. @qualcomm_in announced on Feb 18th a strategic AI Venture Fund for Indian start ups. Committing up to $150M
2. A comparison to speculate potential growth metrics > https://t.co/qTA1xRZLuB
3. Alpie Core made an approximate 1.9M revenue a near x5 of $PIE MC.
4. A unique, efficient model > https://t.co/AY0iRipHLx
@cryptofergani What will Alpie $PIE do in a bullrun? Alpie AI is already doing great. Imagine the bullrun 😏 The builders are forbes india under 30 btw @BizChirag@Rajatarya01. You can check out yourself... @169Pi_ai