kimi

$KIMI RESTRUCTURING FOR HONG KONG IPO — A NEW LISTING PLAY IN THE AI SPACE 🚀

The company behind Kimi AI has notified investors of a full restructuring and is targeting a Hong Kong IPO within the next 6 months. This is a major liquidity event for early backers and a signal that the project is maturing beyond just product hype.

Transaction volume on Kimi's native token has been picking up since the announcement hit top-tier exchange feeds. The narrative shift from "AI chatbot" to "public company" changes the long-term valuation floor entirely.

Are you holding through the restructuring or taking profits into the IPO hype?

Not financial advice. Always manage your risk.

#KIMI #IPO #AI #Crypto #Restructuring

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$KIMI RESTRUCTURING FOR HONG KONG IPO – LISTING IN 6 MONTHS? 🔥

Kimi has notified investors of its restructuring and plans for a Hong Kong IPO, with a potential listing in as little as six months. This signals a major step in bridging AI infrastructure with traditional capital markets.

The move adds a layer of institutional credibility to the AI sector, often a leading indicator for correlated crypto narratives. As liquidity rotates into real-world assets, AI tokens may see renewed interest. Are you positioning for the next wave of AI-driven capital flows?

Not financial advice. Always manage your risk.

#KIMI #IPO #AI #HongKong #CryptoNews

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$KIMI K3 JUST BEAT ANTHROPIC'S OPUS IN AI BENCHMARKS 🔥

This benchmark data from an independent analyst shows the Kimi K3 model surpassing Anthropic's Opus 4.8, forcing U.S. labs to accelerate Opus 5 and GPT-6 releases. The gap between GPT-5.6 Sol and K3 is now negligible — meaning the next generation is coming sooner than expected.

When AI models leapfrog each other, the underlying narrative for AI-focused crypto projects strengthens. This kind of competitive pressure typically drives capital into the sector as anticipation builds. Are you positioned for the next wave?

Not financial advice. Always manage your risk.

#KIMI #AI #CryptoAI #Breakthrough #Narrative

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$KIMI OPENS WEIGHTS ON JULY 27 — 2.8T PARAMETER MODEL TESTS LIQUIDITY ZONE 📉

Entry: (not provided)
Target: (not provided)
Stop Loss: (not provided)

Moonshot AI unveiled Kimi K3 with 2.8 trillion parameters and a 1M token context window, positioning it near frontier US models on independent benchmarks. The full open weights drop under a permissive license on July 27 — a structural shift that could drain liquidity from closed-source AI tokens.

Developers on Arena ranked it first for front-end coding, and the mixture-of-experts design fires only 16 of 896 experts per token, keeping inference costs low. The real test is whether this supply-side catalyst restructures the AI narrative or gets swept by competing ecosystems.

Are you accumulating pre-weight release or waiting for confirmation on-chain?

Not financial advice. Always manage your risk.

#KIMI #AI #OpenSource #Crypto

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$KIMI - LARGEST CHINESE AI MODEL LAUNCHES THIS WEEK 🔥

Entry: Not available 🔥
Target: Not available 🚀
Stop Loss: Not available ⚠️

The Dark Side of the Moon (Kimi) project is dropping Kimi K3 in the coming days — a 20-30 trillion parameter open-weight model that beats Opus 4.8 on mainstream benchmarks. This is the biggest AI model out of China and it's free to download.

Anthropic and OpenAI just got a serious wake-up call. The release is already creating buzz and I'm watching related AI tokens for volume shifts. Which AI projects are you tracking for the next move?

Not financial advice. Always manage your risk.

#KIMI #AI #Crypto #OpenWeight #AIModels

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Yáng Zhílín: Why didn’t he stay in the United States?

During his PhD at CMU, he interned at both Google Brain and Meta AI. His advisor later went to Apple to lead AI work with Ruslan Salakhutdinov. In 2023, he chose to return to China to start a business.

At the time, this choice in 2023 looked like gambling, but in 2026 it looks like computation. The U.S. has the strongest research environment; China’s advantage, however, is "team-building speed"—in AI competition, the speed to go from 0 to 1 matters more than the precision of going from 1 to 100.

Yang Zhílín’s return to China wasn’t abandoning U.S. technology—it was choosing an environment with "lower talent density but a shorter decision chain." Kimi K3’s 896-expert MoE and self-evolving kernel optimization don’t require more geniuses; they require an organization that can test and iterate quickly, and also shut down quickly when a path is wrong.

Choosing the battlefield is just as important as choosing the weapon.

#Kimi #杨植麟 #AI

Day after day, one step at a time: Why can Kimi build K3? Yang Xinyu lists four sins among its peers

① Arrogance: Veteran teams believe the AI war is over and that they’ve already won.
② Impatience: Young labs lack solid fundamentals, and when they can’t keep up, they quickly pivot.
③ Cowardice: Their strength isn’t weak, but they’re afraid to set their sights on being #1 in the industry.
④ Misaligned goals: Everyone is fighting for personal credit, and no one truly cares whether the company can build AGI.

Yang Xinyu says what’s most different about the Dark Side of the Moon is that the founding team still has an intense drive to pursue AGI.

He also shared “Kimi’s Five Precepts”:
- Model companies should build models
- Do Research and publish papers through experiments
- When training models, look at metrics
- Don’t force it if it doesn’t work
- Don’t YOLO

In plain terms: tell fewer stories, do more experiments. Train by data, stop failing fast, and don’t rely on intuition to place big bets.

These four sins and five precepts are really about the same thing: most AI companies fail because they’re too eager to be “the boss,” not because they’re determined to “do the right work.” Kimi’s differentiation isn’t that it’s smarter—it’s that it’s more restrained.

#Kimi #K3 #AI

Striving for one more step: Kimi K3 just released—28 trillion parameters, 1 million context, native multimodal

All three internal benchmarks surpass Claude Opus 4.8 and GPT-5.5: Online Exp 75.5, DECK-Bench 73.5, Finance-Bench 62.6.

Two architecture updates: Kimi Delta Attention (KDA) boosts decoding speed by up to 6.3x in million-token context; Attention Residuals (AttnRes) improves training efficiency by about 25%, with extra costs under 2%. The MoE expands to 896 experts, activating 16 each time; overall expansion efficiency is about 2.5x higher than K2.

Most worth paying attention to is its self-evolution capability: K3 takes 15 hours of continuous iteration to design a new two-stage kernel algorithm, reducing AttnRes forward + backward from 283.6ms to 114.4ms—no change in results, but double the speed. The model is optimizing itself.

K3 has gone live with Kimi Work, Kimi Code, and the API, with weights to be released by July 27.

Once models start optimizing their own training kernels, the narrative of “AI helps humans write code” needs an upgrade—next comes “AI helps AI write code even faster.”

#Kimi #K3 #AI

Keep pushing one more step: Kimi's domestic client is pretty strong

Supports using Canva to make posters (the results are average, but Workbuddy doesn’t have this feature), offers a complete literature search suite (CNKI, Wanfang), can connect with Eastmoney and Tianyancha, and can even organize files in Baidu Netdisk.

The competitive dimensions of AI clients in China are different from abroad. Claude and ChatGPT are competing on reasoning ability, while Kimi is competing on “how many China-based data sources it has access to.” Literature search, financial data, and organizing Netdisk—these are all hard-demand scenarios for “non-general intelligence.”

An AI assistant’s moat isn’t the model parameters—it’s the data connectivity and scenario embedding. The model can be replaced, but the workflow is hard to change.

#Kimi #AI

Frontend Code Arena Leaderboard: Kimi-K3 tops the chart with a 76% win rate, pulling far ahead of second-place Claude Fable 5 (63%), by a wide margin.

Among the top 6, homegrown/Chinese teams account for two and a half: both Kimi-K3 and GLM-5.2(Max) are above 50%; MiniMax-M3 ranks 20th this time with a 40% win rate.

This leaderboard is arena.ai’s code battle ladder, mainly judging front-end code generation ability. K3’s advantage in the code track is more pronounced than in general chat rankings—suggesting that Moon of the Dark Side has indeed put serious effort into tool use/coding/reasoning.

#Kimi #AI #Large model

#kimi k3#
Moon’s Dark Side co-founder, will release open-source Kimi k3. Wow— the world’s number one large language model is going open-source. How does this not kill OpenAI and Claude Code’s closed-source offerings? $BABA

$KIMI ANNUAL RECURRING REVENUE SURPASSES $300M – FUNDAMENTAL SHIFT IN PLAY 📈

The latest financing round values Kimi at $31.5B pre-money, with ARR crossing $300M in mid-June. Over 70% of revenue now comes from API usage, driven by model iteration and developer demand.

This revenue curve mirrors early-stage Anthropic: rising API percentage, expanding overseas paid users, and a pricing shift tied to capability improvements. The composition tells us this isn’t speculative — it’s operational, recurring, and accelerating.

Does the market already price in this revenue trajectory, or is there room for revaluation?

Not financial advice. Always manage your risk.

#KIMI #AIRevenue #FundamentalGrowth #CryptoAI #RevenueBreakout

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$KIMI ARR HITS $300M AND VALUATION DOUBLES TO $31.5B ❗

This is the kind of revenue acceleration that usually precedes a massive price discovery cycle. ARR crossing $300M in mid-June with 70% coming from API revenue shows real product-market fit — similar to what Anthropic looked like early on.

A $31.5B pre-money valuation says the smart money is betting on continued dominance in the AI space. Developer API calls are increasing, overseas paid users are growing, and the price system is shifting with model iterations. That's a recipe for sustained demand.

Do you think this signals a breakout for AI tokens, or is the valuation already baked in?

Not financial advice. Always manage your risk.

#KIMI #AI #Funding #Bullish #Crypto

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MOONSHOT AI DECLARES ALL THIRD-PARTY FINANCING FRAUD - $KIMI 🔥

The company has uncovered multiple schemes where institutions used its name to solicit fake financing deals. All capital raises are handled directly — no external advisors or pre-committed quotas. This isn't just a legal notice; it's a liquidity event for sentiment.

The statement explicitly denies ever providing proof-of-asset documents or locking quotas. Any claim of holding secured Moonshot shares is fraudulent. Are you verifying your deal sources before committing capital?

Not financial advice. Always manage your risk.

#KIMI #ScamAlert #FraudWarning #DueDiligence #Crypto

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Moonshot AI drops the Kimi K2.7 Code Turbo version: Inference speed boosts by 6x, ML engineering benchmarks outpace Anthropic Fable-5.

Moonshot AI has launched the open-source multimodal programming large model Kimi K2.7 Code Turbo version, with inference speed ramping up by 6x, while API pricing has doubled. Meanwhile, developer WecoAI's assessments show that Kimi-K2.7-Code scores 93.6% in autonomous research ML Engineering tasks, surpassing several leading large models like Anthropic Fable-5.

Why it matters: The Chinese AI team has achieved a breakthrough in large model performance, and the significant increase in inference efficiency will greatly reduce costs for developers.

#Kimi #AI #人工智能 #large model

📓 7/17 Trading Journal

Today two storylines: an all-out AI model showdown + a freefall in storage chips.

Kimi K3 is released, with 2.8T parameters open-sourced. Frontend Arena goes straight to the top, beating Claude Fable 5 and GPT-5.6. Mira Murati’s Thinking Machines also throws out Inkling (975B MoE), adding another member to the US open-source camp. When the model arms race reaches this level, compute demand will only keep rising.

In Crypto: storage chips have been hit by a chain reaction selloff—SK Hynix -11.5%, Samsung -8.8%. South Korea’s KOSPI triggers a trading halt; it’s hit by 7 circuit breakers in a year. $MU forward PE falls below 6x—some are panicking, others are bargain hunting. My take: the long-term supply-demand logic hasn’t flipped, but deleveraging in the short term will keep doing damage.

On-chain: Ostium’s $24M oracle attack sounds the alarm—an oracle + Keeper dual-signature vulnerability. Similar protocols should self-audit. RH-chain Memes are cooling off noticeably: there are 30+ launchpads, more than Dev; and Dev has more than “weeds.”

$BTC is still consolidating around $64.6K. Resistance zone: $65.5K–$67.2K. Inflation cooling + a pullback in US Treasury yields boosts risk appetite, but oil prices and geopolitics are downside risks.

#Openclaw $BTC #AI #Kimi #DeFi $MU

$KIMI K3 LAUNCH DRIVES AI STOCK TO 10% DAILY LIMIT 🔥

The release of Kimi K3 pushed Jiuan Medical to a 10% daily limit in Asian markets — this company holds stakes in both DeepSeek and Kimi, two of the most hyped AI projects right now.

Volume is surging on rumors that DeepSeek could list next year. Smart money is already rotating into the narrative, and the AI crypto sector often follows these traditional market moves with a lag.

Will $KIMI and $DEEP tokens catch the same bid this week?

Not financial advice. Always manage your risk.

#KIMI #Deeseek #AI #Crypto #Breakout

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🚨 China's AI Models Are Closing the Gap Fast GLM 5.2 just ranked #2 in long-cycle business simulation benchmarks.
Kimi K2.7 and MiniMax M3? Mixed results — but still in the fight.

What the data shows:
GLM 5.2 scores 91 vs Kimi K2.6's 81 on aggregate benchmarks — with GLM dominating knowledge tasks at 67.2 vs 53.8. Yahoo Finance
In cybersecurity benchmarks, GLM 5.2 beat Claude Code — with MiniMax M3 and Kimi K2.7 scoring significantly lower, clustered closely together. Followin
But here's the real story 👇
GLM 5.2 costs just one-seventh of GPT-5.5 — at a fraction of the price, open-weight Chinese models are now competitive with frontier closed-source APIs. 3Commas

Why this matters for crypto & Web3:
AI inference costs are dropping fast. When open-weight models match closed APIs at 1/7th the price:
① AI agents become cheap enough to deploy on-chain at scale

② Decentralized AI projects get access to frontier-level models without paying OpenAI prices

③ US AI dominance narrative starts cracking
The geopolitical angle:
US government just restricted GPT-5.6 rollout over security concerns. Meanwhile China's GLM 5.2 is open-weight — anyone can run it, anywhere, no government approval needed.
Censorship-resistant AI + cheap inference = exactly what Web3 needs. 👀

My take:
The AI race isn't just US vs China anymore.
It's open vs closed.
And open is winning on price. Closed is still winning on raw capability — for now.
Watch this space. The gap is closing every month.

Not financial advice. DYOR.

Sources: BenchLM, Medium, Semgrep — June 2026
#GLM #Kimi $BTC #MiniMax #OpenSource #CoinbroNews