$PIE New ATH!. It's to no ones surprise!! Alpie Core is gradually gaining traction. As soon as I got deep with my research on what @169Pi_ai is building with Alpie Core ( $PIE ) I couldn’t unsee the potential. While many chase generalized AI hype (and honestly don’t even fully understand it) I hunt for niche projects with real vision, ones building from the ground up. AI’s biggest bottleneck won’t be more data or raw intelligence. It’ll be cost and power reduction, while still delivering an efficient, high-performing model. That’s exactly where 169Pi is attacking the problem. Alpie Core is one of the world’s first 32B reasoning models trained and served at 4-bit quantization. It punches at or above GPT-4o / Claude 3.5 Sonnet levels on key benchmarks. we are a 10x up on size and have not even considered flipping a single token!.

Some more infor on the Ai race which is be based on low cost economics rather than best in all metrics

We are building it. You should look into it.

“A frontier without an ecosystem is not stable.” One of the most thought-provoking ideas in @satyanadella's post. I'd go a step further: a frontier without an ecosystem isn't just unstable, it's unsustainable. Smarter models expand what's possible but the real challenge is building systems that allow knowledge, context, and experience to compound around them. Intelligence matters. The ecosystem that helps it learn and improve over time may matter even more It's a direction we think deeply about at @169Pi_ai as we build across models, infrastructure, and collaborative AI systems.

Alpie now has Incognito Mode. your fears. your ambitions. your space. no history. no judgment. just answers. and if the answer’s too good to lose? tap Save Session – only you decide what stays. try free → alpie.ai

so alpie just got an upgrade to be exactly like venice but 20x cheaper to run. yea flip that.

Human brain is art. AI should achieve this level of efficiency pretty soon We are already delivering one of the most capable and efficient AI infrastructures at @169Pi_ai, but it’s not enough. We should push it further. More Koomey’s Law than Moore’s Law at this point.

BREAKING NEWS 🚨 ISRO, India’s space agency and the country’s equivalent of @NASA is a strategic partner of @169Pi_ai the team behind solana:aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory ISRO (Indian Space Research Organisation) is the indian similar to @NASA 169Pi is collaborating with ISRO centres, including URSC, on AI systems and applied intelligence connected to India’s scientific and national missions. The work is aligned with GYAAN, an AI-driven knowledge initiative focused on structured reasoning, research assistance, and smarter access to complex information. This also extends into education, with initiatives like Gyaan Education aiming to improve learning outcomes at scale in regions like Bihar. For @169Pi_ai this is a defining moment. Building indigenous AI capabilities with institutions shaping India’s future in science, education, and technology. India will not just consume frontier AI. India aims to build it 🇮🇳

Orynth Product Review EP1 Alpie by 169Pi is an AI workspace built for deep work, focus, and real collaboration. A real product listed on Orynth with its own token solana:aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory In this first episode, we break down what Alpie is building, why it stands out, and what makes the product interesting inside the Orynth ecosystem.

@169Pi_ai 🤝 @IBM solana:aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory

1/7 The biggest lie in the AI x crypto narrative is that it’s already been built. It hasn’t. What’s been built is crypto projects with “AI” in the name. The actual AI inside most of them is weaker than a $20 ChatGPT subscription. That’s not AI x crypto. That’s crypto cosplaying as AI.

I recently decided to invest $2,000 into $PIE because I believe the broader market will eventually discover and adopt products like this alongside tools such as ChatGPT and Claude. The flagship product of @169Pi_ai is Alpie Core: – 32B parameter reasoning model – One of the world's first 4-bit quantized reasoning models – Comparable to or outperforming GPT-4o and Claude 3.5 Sonnet across several reasoning and SWE benchmarks despite running at only 4-bit precision Additional highlights: – 65K context window – Open-source under Apache 2.0 – Available on Ollama, Kaggle, and other platforms Personally, I think what stands out most is the focus on efficiency rather than simply scaling model size. From a TA, $PIE has also been showing strong momentum recently. For now, this may be one of the most promising AI gems I've found in 2026. DYOR & NFA.

It certainly does have significant partners. Pie is highly fundamental infrastructure. So, in turn development and feats generally take longer. It's a laggard. But I still stand with the fact $PIE - @169Pi_ai could be one of the biggest plays to come from pump fun if executed right.

Alpie team keeps building 💪🏼 @169Pi_ai tested $PIE as a payment method for Alpie, and we are seeing good early results. The initial tests focused on: • Using PIE for Alpie subscriptions • Using PIE for API access and credits • Premium features • Future ecosystem services Remember what's next! - $PIE integrated in the Alpie ecosystem - 5-10% accumulation by the team (that's 50-100K$ at this MC) - A flywheel with a burn and/or lock mechanism to achieve a smaller circulating supply Alpie is the AI model from India! With the help in marketing from @reliancejio, it will soon be available everywhere in the world!

🚨 Collab Invite Program is Live! 🚨 We’re excited to kick off a new Collab Invite Program! 🔥 Start inviting people to Alpie using the collaboration feature. This can include friends, acquaintances, community members, or anyone. By the beginning of next week, we’ll review who has brought the most members into their chats. This is just the first step before we roll out a full referral program 🚀 📊 A leaderboard will be maintained throughout the program so everyone can track their progress and rankings. 🔮 We’ll be introducing more community growth and engagement programs in the future, so keep inviting, collaborating, and climbing the leaderboard! 📌 Contest Requirement: A minimum of 100 successful referrals is required to qualify for rewards. 🏆 Rewards: 🥇 1st Place: $250 worth of $PIE tokens 169Pi/Alpie Complete Merchandise 🥈 1st Runner-Up: $100 worth of $PIE tokens 🥉 2nd Runner-Up: $50 worth of $PIE tokens 📅 Share your chat invite link by June 14, 2026. Winners will be announced on June 15, 2026. 💡 Tip: If your chat gets crowded (around 20–30 people), feel free to create a new chat and continue inviting—those members will still count toward your total. Let’s see who can grow the community the most and win some awesome rewards! 🎉 P.S. The collaboration feature is still being improved on both mobile and desktop, so this is also a great chance to test it out and help us catch any bugs along the way. Good luck everyone 🚀

People keep asking that what you can actually build with Alpie. So I gave it one line: " Can you build a mission game for me, easily playable in the browser?" That's it. That was the entire prompt. Alpie took it from there. 5 missions, tactical shooter, runs in the browser. Here's what came back. Unedited. First attempt. This is what low-token, high intelligence AI looks in practice. Try @169Pi_ai - alpie.ai

For years, AI progress has largely been measured by capability. Today, capability remains important but efficiency is becoming equally critical. Memory footprint, inference cost, deployment accessibility, and latency are no longer engineering constraints sitting at the edge of the stack. They are becoming core AI research problems. This is one of the reasons we are exploring lower bit systems like 1-bit & 4-bit at 169Pi. Not because smaller models are inherently better. But because delivering advanced intelligence efficiently may be one of the defining challenges of the next decade. And as AI moves beyond text into multimodal reasoning, agents, and real-world workflows, that challenge only becomes more important.

Ever actually get a shot at investing in the real big ai dogs? openai, anthropic, grok? Nah those giants lock retail out pre-ipo, only the big institutions slide in early then dump their bags on us later for the profit solana:aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory tho? straight up small ai startup from @169Pi_ai Giving EVERYONE the same equal shot from day fucking one. efficiency beats scale, 4-bit reasoning model already cooking on kaggle, retail finally eating proper on the next wave. alpie.ai

I was always bullish on solana:aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory from day one

Alpie-Core. 932 downloads on Kaggle in under 24 hours. Just developers finding Alpie-Core and deciding it’s worth their time. Zero paid distribution. Zero marketing. 4-bit reasoning. Frontier benchmarks. Built in Mumbai @169Pi_ai Open source. Because good AI should be accessible to everyone. SOTA multimodal dropping next month. We build kaggle.com/models/alpie/alpi…