Earthquake — July 2026

In Japan, reports are emerging of numerous people trapped in the collapse of a shopping mall in the city of Kumamoto in southern Japan, as a result of the earthquake. Local police estimate that "there are likely a significant number of fatalities at the scene."

🇯🇵🫨 Потужний землетрус магнітудою 7,1 стався в Японії — оголошено загрозу цунамі.

Епіцентр підземних поштовхів був поблизу міста Укі на острові Кюсю. За попередніми даними, це один із найсильніших землетрусів у країні за останнє десятиліття.

🌊 Перші хвилі вже досягли узбережжя, близько 45 тисяч домогосподарств залишилися без електропостачання. Попередньо, загиблих немає, однак майже 50 людей отримали травми та були госпіталізовані.

🏯 Також пошкоджено історичний замок Кумамото, який досі відновлюють після руйнівного землетрусу 2016 року, а також одну з головних автомагістралей країни.

A 7.1 magnitude earthquake was felt in southern Japan, and a tsunami warning has been issued.

..............THE PUNDITS 😎..............

🗓 75 Days Schedule - CGL 2026 PRE

📌 Day 55 - 24 July 2026

Total Duration - 08 Hrs

📢 Detailed Plan of 75 Days Schedule👇

https://youtu.be/fkp6AI_kpVA?si=tpJvr1H_HAEP3PAQ

Must watch it first if you have not till now 😊

🔢 MATHS (1.5 Hrs)

⚜ Geometry Quiz 7 & 8

🧠 REASONING (1 Hr)

⚜ Calendar Quiz 3

📖 ENGLISH (2 Hrs)

⚜ EduQuity Active Passive

https://youtu.be/jmLZLUxa9Q0?si=1Ya1t3FbgwnZ3Rn1

⚜ Vocab Quiz 8

⚜ Revise Synonyms - 501 to 600

🌍 GS (2.5 Hrs)

⚜ Geography One Shot

https://www.youtube.com/live/SD0YPZgxitE?si=vqzT3TkVcvedQA1D

Watch next 2 hrs today.

⚜ Quiz 83 - Solar System

⚜ Quiz 84 - Earth

⚜ Quiz 85 - Rocks, Earthquake & Volcano

🖊 MOCK TEST

ProMocks MATHS SECTIONAL Mock 16

https://www.thepunditsofficial.in/plans

Consistency > Intensity. So, Stay Consistent till Exam.

🎈Enroll in DAILY PRACTICE SCHEDULE for access of Chapter-Wise BEST PYQs Quizzes of All Subjects👇

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📌 Share this schedule with all serious aspirants of SSC CGL / CHSL 2026 Pre.

📲 For upcoming Daily Schedule,

Join - @ThePundits_Official

🙌

Short BTC Today. Catrix AI tells you why.

Catrix Daily | Jul 15, 2026

Real yield +1.84, while DXY z=+0.9. Macro is still squeezing the room.

⚠️ Risk Event: NY Fed President Williams Speech 12:45 UTC — avoid opening positions ±1h around this window; volatility can jump without warning. (+4 more)

Today's Focus: Whale Holdings → BTC: Mega-Whale Supply (10k-100k+ BTC) z = -2.91 (90d) — Whale supply at extreme-low z=-2.73 but 30d change magnitude is flat; exchange balance crept up 0.8%. → ETH: Exchange Balance Pct rank 3.9th — Whale supply up 0.5% over 30 days as exchange balance drops to 4th percentile—quiet accumulation.

Are these coins moving into stronger hands, or closer to the exit? Not financial advice. insight.catrix.xyz

Here is a revised version edited for maximum readability, flow, and structural clarity—perfect for an X long-form post while keeping that sharp, analytical edge.

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🔬 Capacity Deep-Dive #1: SOL/BTC (With Live Proof)

SOL is one of the most heavily traded assets on Earth, racking up $2.4 Billion in global volume over the last 24 hours. Because the SOL↔️BTC pair moves constantly across dozens of global venues, it represents textbook arbitrage. Every single micro-movement is an opportunity automated bots actively want to capture.

Theory is great, but production numbers are better. The GalaSwap SOL/BTC pool now exists, and because it is young and lean, it is performing exceptionally well.

### 📊 The Live Dashboard Snapshot (July 7)

GSOL / GWBTC (0.3% Fee Tier)

* Pool Depth: Just $26,000 * 30-Day Volume: $7.57 Million * Daily Velocity: The pool turns over its entire depth ~9.5× every single day. * Annualized Yield: ~262% APR *(based on yesterday's single-day fee snapshot).*

Let those numbers sink in: a tiny $26k pool routed $7.5M in a single month. This is the exact "early window" phenomenon in action—a small pool catching the full force of a massive, external arbitrage firehose.

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### 📉 The Compression Curve In Action

As a pool grows and matures, its yield naturally stabilizes. You can see this live curve playing out right now across GalaSwap’s 0.3% fee tier pools:

* $26k Depth (SOL/BTC) ➡️ ~262% APR * $160k Depth (SOL/ETH) ➡️ ~126% APR * $866k Depth (BTC/ETH) ➡️ ~37% APR

This is our entire capacity thesis wrapped into three live data points: as liquidity depth grows, the rate cools. But notice how yields remain in the double digits even at nearly $1M in depth. Why? Because the volume is driven by external global market volatility, not by the size of our pool.

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### 🚀 Where is the Ceiling?

How much liquidity can the SOL/BTC pool actually hold before compressing to ordinary DeFi rates?

The model indicates the ceiling is set by that massive $2.4B/day external market. Assuming a conservative 5% capture rate at the 0.3% fee tier, this single pool could productively absorb tens of millions of dollars in liquidity.

Today, it holds just $26k—roughly 0.1% of its implied capacity.

The Big Picture: One major trading pair, a pool turning over 9.5× daily, and a runway that is three orders of magnitude larger than its current size. Now consider that the GalaSwap grid has hundreds of pairs waiting to be built—some deeper, some hotter, and most still completely untouched.

SOL/BTC isn't just a proof of concept anymore. It’s the live demo. 🟡

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*(All pool figures from GalaSwap's public dashboard, snapshot 2026-07-07; global volume from CoinGecko. APR figures are single-day snapshots and swing with activity — past ≠ future. Capacity is a model estimate under stated assumptions (κ=5%, 0.3% fee), not a forecast; capacity ≠ guaranteed yield; LP carries risk incl. impermanent loss & loss of capital; not financial advice; DYOR.)*

GigaChat 3.5 Ultra Publicly Released — The New Generation of the Flagship Model

The GigaChat team has released GigaChat 3.5 Ultra as open source—a new 432B model under the MIT license. This is the first open-source hybrid of GatedDeltaNet and MLA scaled to hundreds of billions of parameters, featuring a proprietary training recipe we refined through more than 1,500 experiments. The model has grown in terms of code, mathematics, agent scenarios, and application domains—yet it’s 40% smaller than GigaChat 3.1 Ultra.

What’s inside:

🔘A proprietary hybrid MLA + Gated DeltaNet architecture with a dedicated stabilization framework, without which this hybrid setup would not train reliably at this scale; 🔘 Gated Attention: the model can locally down-weight overly strong signals from the attention layer; 🔘GatedNorm: normalization with an explicit gate that controls signal magnitude across features; 🔘Approximately 4x lower KV cache per token: with the same memory budget, the model can support 2.14x longer context and deliver a 20% throughput increase under load; 🔘Two MTP heads, enabling up to 2.2x faster generation; 🔘FP8 across all training stages with no quality degradation compared with bf16, enabled by custom Triton and CUDA kernels; 🔘A new online RL stage after SFT and DPO.

Results:

🔘 GigaChat-3.5-Ultra-Base outperforms DeepSeek V3.2 Exp Base and DeepSeek V4 Flash Base on average across a set of general, math, and code benchmarks: 🔘 GigaChat-3.5-Ultra-Instruct is comparable to DeepSeek V3.2 in terms of average score, despite having half the size; 🔘 According to the MiniMax-M2.7 LLM judge, the average win rate against GigaChat 3.1 Ultra is 75.9%, and against GPT-5 is 68.7%.

The entire stack — data (our own LLM-filtered Common Crawl, 600+ programming languages in the code), architecture, training methodology, and infrastructure — was built end-to-end by GigaChat team. ➡️ HuggingFace