Engineers build products.
Researchers build the future.
I have both at 169Pi except the researchers part.
Fix that with me. 👇
@169Pi_ai is looking for AI scientists, researchers & the kind of people who think the current frontier models are “fine… but fixable.”
We’re training models, running experiments & chasing something bigger than fine-tuning. We have research frameworks in mind that nobody is exploring yet - the kind that could shake up the AI race.
We don’t need your resume. We need your obsession.
If you eat papers for breakfast and lose sleep over model architectures
DM me.
Let’s build the GOAT together.
#AI #MachineLearning #AIResearch #Hiring #LLM
playing a bit with @ideavo_ai and @169Pi_ai
one-shot made no-code platform with ideavo(around $1.12 in credits, 6 minutes)
alpie core api for coding and project generation(ex. calculator - approx. $0.003 spent in credits)
generated 15 projects(calculators, tetris game, 9 simple websites - total $0.017 spent in credits)
very powerful, fast, cheap
both are live on @orynth, check them out
I've been watching @MnemosOnBase closely and the build velocity is serious.
In a short period they've shipped:
A sovereign memory vault encrypted to your crypto wallet.
AI enrichment that auto-classifies every memory as you write them (plus helps your logs)
Semantic searches.
A visual memory graph.
Relationship memory.
Goal tracking with milestones and progress bars.
Decision history with outcome tracking.
Health intelligence with trend charts.
An API gateway.
MCP connectivity
Shared vaults for teams or private groups.
Memory Resurface for people being held accountable
The problem they're solving is real, every AI resets to zero every session.
MNEMOS is the persistent sovereign memory layer that changes that using your crypto wallet.
MCP support means any AI agent connects to your vault natively.
These guys are absolutely cooking, i've seen projects that have surged into the millions of marketcap with not even half of the updates and utility they are offering.
If they keep this up it wont stay at $140k mcap for long. I can see this going to $500k mcap over the next few days before it reaches higher.
They're expanding rapidly and I rate what im seeing so far.
Check them out;
https://t.co/9EfGGRtR9X
https://t.co/M8TSeL094j
https://t.co/LgSVL2TtxF
There's another project you should probably get familiar with. I consider it the best asymmetric bet on-chain.
Alpie Core is a frontier 32B 4-bit quantized reasoning model from @169Pi_ai ... India's first at this scale rivaling or beating GPT-4o/Claude 3.5 Sonnet on reasoning, coding (57.8% SWE-Bench), and math benchmarks while using a whopping 75% less memory, 3x faster inference, and 10x cheaper. Trained on 8 H100 GPU.
Alpie playground powers production AI agents via its unified reasoning API that is already driving real-world gains like,
- Deep Research Agent: +34% accuracy, 3.2x faster synthesis
-PDF Analysis Agent: 92% legal docs, 87% scientific papers, 91% financial reports
Runs 3x faster, 10x cheaper than frontier models, deployable on consumer GPUs 8x H100. No massive infra needed. Ideal base layer for scalable, sustainable agent economies on-chain or off.
And their native platform utility token powers this with priority access, incentives, platform credits, discounted inference, unlock workspace features, extended memory, model labs and much more.
The team are doxxed. Rajat worked at Netflix and Snapchat then left and founded Spheric; Spheric was a blockchain-focused tech services company he co-founded (around 2020–2023 timeframe), specializing in delivering tech, product, and infrastructure solutions, particularly for clients in North America and the Middle East.
He was also involved with building LotanChain Achieving up to 65,000 TPS.
Both the founders have been features in Forbes 30 U 30 as the only AI start up.
Are media partners with NDTV where they were present at Davos and India's largest AI summit as a speaker.
Are partnered with ISRO (Equivalent of NASA in India) a strategic collaboration focused on deploying and advancing sovereign, efficient AI systems for India's national missions, particularly in secure, data-sensitive environments like space tech.
Rajat has hosted talks on TedXKiet about AI advancement.
There is a plethora of other catalysts.
The token has real world utility, what was speculative drive PA will soon be utility driven > https://t.co/FSdCrqOK22
> https://t.co/qXbpJTnFNs
> https://t.co/BlNI41Zml0
I know the markets aren't favourable.
But they are in talks with government agencies, running pilots with US enterprise and have been labelled top 5 Indian AI start ups by Inc42.
The downside is fkn minimal. The upside is absolutely massive.
A reasoning model that beats Qwen, OpenAI and several other legacy models in cost and efficiency, but also reasoning.