GT Protocol AI Digest No.76: From Assistants to Agents, and AI Starts Acting

Here are five stories shaping this week in AI:

🤖 AI Agents Start Acting Social
Moltbook reveals what happens when AI agents are treated like participants, not tools. Bots post, react, roleplay, and even complain about human tasks. A new kind of agent culture is forming in real time.

📺 Claude Chooses an Ad Free Identity
Anthropic publicly positions Claude as an ad free AI, leaning on privacy and trust as a differentiator while AI marketing enters mainstream channels like the Super Bowl.

🗺 Gemini Moves Into Google Maps
Google is testing Gemini inside core Maps features, helping with edits and contextual actions. AI is no longer just answering questions, it is shaping everyday decisions.

🚀 Musk Talks AI Consolidation and Space Scale Compute
Elon Musk frames SpaceX, xAI, and X as a single ecosystem, with bold claims about future data centers and competitive compute scale. Infrastructure storytelling becomes part of AI strategy.

🛑 Firefox Adds an AI Off Switch
Mozilla introduces controls to disable AI features entirely, signaling growing user demand for choice as AI becomes default across products.

Read the full digest 👉 on our Medium

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❔ A Question for Our Community 👇

Would you rather build a trading strategy yourself or refine one suggested by AI? 🤖

Strategy creation always starts with an idea. The real work begins later: shaping the logic, adjusting parameters, defining risk, and deciding whether the setup is worth going live.

AI can speed up the starting point. Backtesting shows whether the idea actually holds up.

💡 Want to test both paths before execution?
Backtest your ideas here 👉 backtest.gt-protocol.io

💬 Share how you usually approach strategy building.

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⚡️ GT Protocol Weekly Recap

Another productive week at GT Protocol is in the books. Here’s what we shipped and improved over the past 7 days.

🛠 Product Updates
⚙️ Backtest Optimizer: finalized and refined. The optimizer now delivers clearer and more accurate performance statistics.
⚙️ Demo Strategies: removed previous limitations, giving users more freedom to explore and test ideas.
⚙️ Seamless Login Flow: implemented a smooth Backtest → GT App login, so users stay in one continuous journey without friction.
⚙️ Data-Driven Improvements: ongoing refinement based on real usage statistics and behavioral insights.
⚙️ Stability & Fixes: multiple backtest improvements through targeted bug fixes and system polishing.

💼 Referral Program Update
We’re rethinking our referral model. A simpler one-level structure with a 20% reward is coming soon. More details to follow.

📰 GT Protocol AI Digest №75
A new edition of our AI Digest is live: “From Code to Factories, and AI Becomes Infrastructure”- exploring how AI is moving from experiments into real-world systems 👉 Read it here

More progress ahead 🚀

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🔗 One Strategy. One Flow. Hyperliquid.

Most platforms break the process in half. You test in one place, then rebuild everything again for live trading.

With GT Protocol and Hyperliquid, this gap disappears.

You backtest a strategy once, inside GT. The same logic, the same parameters, the same structure. Then you launch it directly on Hyperliquid without rewriting or adapting anything. What you tested is exactly what goes live.

🚀 Run it exactly as tested → app.gt-protocol.io

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📊 GT Protocol’s Weekly Top Strategies

This week’s top performers on GT APP are showing solid momentum:

1️⃣ Enso_Bot: Took the lead with a strong +21.28% USDT gain
2️⃣ RTCauto3m30m: Followed with a confident +7.80% USDT return
3️⃣ TWT_High: Delivered a steady +4.84% USDT increase
4️⃣ Y33_bch: Closed the list with +4.75% USDT growth

🚀 Explore these strategies now only on GT APP

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❄️ GT Protocol Monthly Recap: January 2026

January was a month of deep development at GT Protocol. The team stayed focused on core systems, turning Backtest & Strategy Builder into a more structured, powerful, and production-ready product, while laying the foundation for what comes next.

🛠 Product Updates
⚙️ GT AI Backtest Flow: rebuilt into a clearer step-by-step journey from LLM selection to strategy launch.
⚙️ Native Optimization: optimization integrated directly into the backtest flow with clearer stats and real-time feedback.
⚙️ Execution Launch: one-click deployment from backtest to live trading on Binance, Hyperliquid, or Demo.
⚙️ Engine Improvements: improved simulator accuracy, DCA handling, and position sizing.
⚙️ System Expansion: groundwork laid for Gemini LLM upgrade, Hyperliquid pairs, and Top Pair Signals.
Test the new updates 👉 Here

🎉 GT AI Backtest Bug Bounty Completed
We successfully wrapped up the GT AI Backtest Bug Bounty. Huge thanks to everyone who participated.

💼 Referral Program Update
We began reworking our referral system. A simpler one-level structure with a 20% reward is coming soon. More details will be shared in the next updates.

🎙 Twitter Spaces
In January, We joined Dormint’s Twitter Space “DeAI as a Baseline for Building”, discussing why AI is becoming core infrastructure and how decentralized AI is shaping what builders create next.

📰 4 New AI Digests
January saw the release of AI Digest editions No.72 to No.75 on Medium. Each week we covered key developments across AI, tech, and emerging risks. Read more 👉 Here

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💬 We get asked

Should I always use Trend Changer?

❕ Answer from a GT App Top Trader:

Trend Changer doesn’t make a strategy smarter. It makes it more disciplined.

🔸 When auto-switch makes sense
Auto-switch works well for strategies that open many deals over time. It helps avoid trading against the dominant market direction and reduces repeated mistakes.

The current deal stays open, but the next one follows the new trend.
This is a balanced way to adapt without overreacting.

🔸 Why Trend Changer won’t fix a bad strategy
A trend filter doesn’t turn a losing strategy into a profitable one. If entries are weak, Trend Changer only limits damage, it doesn’t create edge.

🔸 How I test it
I always backtest the same strategy twice:
– with Trend Changer
– without Trend Changer

Then I compare drawdowns, deal distribution, and stability — not just profit.

Trend Changer is a filter, not a magic button.
Use it to improve discipline, not to hide strategy flaws.

👉 backtest.gt-protocol.io

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📈 GT Protocol’s Monthly Top Strategies

January delivered explosive results across the marketplace. Here are the top-performing strategies of the month:

1️⃣ River_Bot: Dominated with an incredible +164.18% USDT return
2️⃣ SUIUSDTBackT: Followed with a massive +77.24% USDT gain
3️⃣ Enso_Bot: Delivered a powerful +63.83% USDT increase
4️⃣ FC_Bot: Secured a strong +41.01% USDT growth
5️⃣ Phoenix: Added +19.91% USDT
6️⃣ Longxrp: Close behind with +19.48% USDT
7️⃣ Jarvis: Maintained solid performance at +10.60% USDT
8️⃣ hypump: Closed the list with +10.07% USDT

🚀 January proved what’s possible. Explore and launch top strategies now on GT APP

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📊 See the Range, Not a Single Result

A single backtest run shows one outcome. Optimization shows the range.

GT AI Backtest optimizer helps you understand sensitivity. How performance changes when parameters shift. Which inputs matter most. Where results are fragile and where they stay consistent.

This is not about finding the highest number. It is about understanding whether a strategy holds up when conditions change

Explore optimization in 👉 GT AI Backtest

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GT Protocol AI Digest No.77: When AI Meets Reality, and Monetization Kicks In

Here are five stories worth your attention 👇

💸 ChatGPT Starts Showing Ads on Cheaper Plans
OpenAI is testing ads in ChatGPT’s lowest tiers. The message is simple. AI assistants are no longer just tools. They are turning into platforms, with monetization baked in.

🍿 ByteDance Launches a Multimodal Video Generator
ByteDance unveiled a new model that can generate video from text, images, audio, and video at once. The race for generative media is accelerating, and it is no longer just about text.

🛒 Uber Eats Adds an AI Grocery Assistant
Uber Eats introduced an AI helper for grocery shopping, handling substitutions and cart decisions. AI is not announcing itself. It is quietly optimizing everyday choices.

🚗 ChatGPT May Come to Apple CarPlay
Apple is reportedly exploring third party chatbots inside CarPlay. If it happens, AI assistants move from screens into real time driving contexts.

📺 AI Generated Super Bowl Ads Miss the Mark
This year’s Super Bowl showed that polished visuals are not enough. AI can generate ads, but taste, timing, and cultural intuition still matter.

AI is no longer waiting for permission. It is entering daily life, one feature at a time.

Read the full digest 👉 on our Medium

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❔ A Question for Our Community 👇

Which strategy settings do you focus on first when preparing it for live trading?

In backtesting, small parameter choices often have the biggest impact. Position size, stop loss, take profit logic, and leverage can completely change how a strategy behaves under the same market conditions.

💡 Want to see how different settings affect the same idea?
Backtest and adjust your strategy here 👉 backtest.gt-protocol.io

💬 Which settings do you always tune first?

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⚡ GT Protocol Weekly Recap

This week the team focused on operational refinement, analytics infrastructure, and core system support, strengthening the foundation across all GT Protocol products.

🛠 Product Updates
⚙ Analytics Infrastructure Upgrade: Enhanced statistical tracking architecture for deeper performance visibility and cleaner data accuracy across the platform.
⚙ Authentication Flow Redesign: Rebuilding the login experience with a refreshed UI and improved session architecture for a smoother entry point.
⚙ Mobile Architecture Development: Ongoing development of the upcoming mobile version, laying the groundwork for cross-platform accessibility.
⚙ Strategy Persistence Layer: Implementing a strategy save system inside Backtest, allowing users to preserve configurations and return to them seamlessly.
⚙ System Hardening & Performance Refinement: Continuous optimization of internal processes to improve speed, consistency, and resilience.

📖 GT Protocol AI Digest No.77
A new edition is live: “When AI Meets Reality, and Monetization Kicks In” Еxploring how AI is moving from experimentation into sustainable infrastructure. Read more 👉 Here

The groundwork gets stronger. The systems get sharper. More next week.

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📊 GT Protocol’s Weekly Top Strategies

Here are this week’s top-performing strategies on GT APP:

1️⃣ 9-as-UNIETH: Took the lead with a solid +7.79% USDT gain
2️⃣ Phoenix: Followed closely with +7.14% USDT return
3️⃣ Vanilla: Delivered a steady +5.10% USDT increase
4️⃣ Longxrp: Closed the list with +4.65% USDT growth

🚀 Explore these strategies now only on GT APP

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🎙 Tomorrow, join us with @QuackAI_AI on 'Who Wins 2026? Liquidity, Discipline & Conviction'

Oleksii will represent GT Protocol as a speaker, sharing a product focused perspective on strategy, execution, and what it really takes to build with conviction heading into 2026.

📅 Date: Feb 18th
⏰ Time: 11 AM UTC
📡 Broadcast on X & Binance Square
🔗 https://x.com/i/broadcasts/1YqKDNNgWAYJV

Set a reminder and join the discussion 🎧

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🎙 In 30 minutes, join us with @QuackAI_AI on 'Who Wins 2026? Liquidity, Discipline & Conviction'

Oleksii will represent GT Protocol live, sharing a product focused perspective on liquidity cycles, disciplined execution, and what it truly takes to build with conviction heading into 2026.

⏰ 11AM UTC
📡 Live on X & Binance Square
🔗 https://x.com/i/broadcasts/1YqKDNNgWAYJV

Going live soon. Don’t miss it 🎧

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🚀 We Took Over the Airwaves with @QuackAI_AI — 14.1K Peak Listeners! 🔥

We joined Quack for a powerful QTalk session and at peak, over 14,000 listeners tuned in live.

It was a long, dynamic, and genuinely insightful discussion on liquidity, discipline, conviction, and what it really takes to build for 2026.

If you missed it, you can catch the full recording on the QuackAI_AI account on Twitter.

Huge thanks to everyone who joined and stayed with us till the end 🦾

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💬 We get asked

Is leverage necessary for good results?

❕ Answer from a GT App Top Trader:

Leverage is just borrowed money to make your trade bigger. It doesn’t make you trade better. It just makes results bigger, both good and bad.

🔸 Return vs Risk
If your strategy makes +10%, 5x leverage can turn it into +50%. But if the trade goes wrong, losses grow just as fast.
With leverage, small mistakes become big very quickly.

🔸 Liquidation logic
When you trade with leverage, there is a price level where your position gets automatically closed. If the market hits that level , you lose the margin used for that trade.

🔸 Where Safe Mode matters
Leverage without protection is risky. Safe Mode helps reduce position size and control risk when the market becomes unstable.

Leverage is a tool. Use it to scale something that already works but not to fix something that doesn’t.

Don’t guess leverage impact 👉 Backtest it first

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GT Protocol AI Digest №78: When AI Shows Its Limits, and the Race Gets Geopolitical

Here’s what this week showed 👇

🧠 Google Releases Gemini 3.1 Pro
Google unveiled Gemini 3.1 Pro with improved benchmark performance and wider availability. The real story is not just better scores. It’s the speed. Frontier labs are iterating so fast that competitive gaps shrink within weeks. Momentum now depends on release cadence, not just model size.

🌐 WordPress Adds Prompt-Based Editing
WordPress introduced an AI assistant that lets users edit websites using natural language. This is a bigger shift than it looks. AI is no longer a side feature. It is becoming the interface layer for core digital infrastructure.

🔓 ChatGPT and Gemini Hacked in 20 Minutes
A BBC investigation showed how quickly researchers could bypass safeguards in both systems using prompt injection. As models grow more powerful, their guardrails remain surprisingly fragile. Capability is scaling faster than resilience.

🖥 Meta Secures Millions of NVIDIA Chips
Meta signed a major deal with NVIDIA to acquire massive amounts of advanced AI hardware. Compute remains the key bottleneck. The AI race is not only about models. It is about who controls the infrastructure underneath.

👤 OpenClaw Founder Joins OpenAI
Peter Steinberger is joining OpenAI, reinforcing the consolidation of top talent inside leading labs. In the AI era, human capital and compute power move together.

Read the full digest 👉 on our Medium

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💬 We get asked

What Direction should I use: Long or Short?

❕ Answer from a GT App Top Trader:

Direction doesn’t make a strategy profitable. It makes it consistent.

🔸 When Long makes sense
Long works best in uptrends or strong bounces.
If your setup buys dips, forcing Shorts usually means fighting the move.

🔸 When Short makes sense
Short works best in downtrends and breakdowns.
If price keeps making lower highs/lows, Long entries often turn into repeated small losses.

🔸 Trend Changer helps you stop guessing
The real goal isn’t choosing Long or Short perfectly.
It’s using a system that adapts to the market and can switch direction by rules. Moreover, you have the ability to run Long and Short Directions together and validate both scenarios.

🔸 My simple rule
Follow structure, not feelings:
• mostly up lately → Long
• mostly down lately → Short
If it’s mixed, use Trend Changer and the system adjusts automatically and picks the direction.

Direction is like choosing the correct side of the road: both exist, but you don’t want to drive into traffic.

Stop guessing the trend. Backtest both directions simultaneously 👉 bit.ly/GTbacktest

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❔ A Question for Our Community 👇

What makes a trading platform onboarding actually clear and useful for you?

The first minutes on a platform often decide everything. If the steps are confusing, overloaded, or unclear, most users simply leave. If the flow is simple and logical, they stay and explore.

Clear structure, transparent explanations, visible next steps. These small things define whether onboarding feels smooth or frustrating.

What makes you feel confident during your first session on a trading platform?

💬 Drop your thoughts below!

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