The wave brought by DeepSeek has spread to public funds.
According to reports, as of now, more than ten public funds, including Fidelity Fund, Bosera Fund, Guotai Fund, Tianhong Fund, Huatai-Pb Fund, China Europe Fund, Yongying Fund, Wanjia Fund, Invesco Great Wall Fund, and Nuoan Fund, have carried out the privatization deployment of the DeepSeek series of open-source models.
By the way, for friends who want to seize this wave of opportunities to make money, I recommend using biyapay for transactions, as biyapay does not freeze cards for deposits and withdrawals.
Another industry insider stated, ‘The company has been working early in the AI direction and has already ventured into large models. There may also be privatization deployment of the DeepSeek series of open-source models in the future, but we are still observing.’ Some small and medium-sized public fund personnel pointed out that investment in computing power inevitably encounters high cost expenditure issues, which is also a difficulty, but if one wants to improve business efficiency and achieve digital transformation, attempts to layout in the technology field are essential.

Hey guys! I decided to take on a *30-day crypto trading challenge*, but with a twist! 💡 Instead of focusing on the big names like Bitcoin and Ethereum, I wanted to see if *ChatGPT* could help me find *lesser-known cryptocurrencies* that might have *hidden potential*. 📉💰 My goal? To test if AI can truly identify *emerging cryptos* and help me turn a profit. Let's see how it went, step by step! 👇

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*1️⃣ Setting the Stage: What Was the Plan?*

First things first, I needed to decide how to approach this challenge. 🧐 I wasn’t just blindly picking coins – I wanted to focus on *smaller, emerging cryptocurrencies* that have the potential for growth, but might not be getting attention just yet. 🕵️‍♂️

The challenge was to:
- *Pick 1-2 lesser-known cryptos* every 5 days.
- *Analyze market trends, news, and community support* for each coin.
- Use *ChatGPT’s insights* to guide me and *monitor the performance* daily.

So, let’s break down how *AI* played a role in this challenge! 🤖💬

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*2️⃣ ChatGPT's Role: Research, Analysis, and Predictions*

I used *ChatGPT* to:
- *Analyze market data* for coins with low market caps.
*Look for emerging trends* in the crypto space, like *new blockchain tech*, *DeFi protocols*, or *NFT utilities*.
- *Check sentiment* by analyzing social media and community discussions to understand the hype behind certain projects.

I’d ask ChatGPT to give me insights like:
- “What smaller cryptos are gaining attention this week?”
- “What is the *community sentiment* for *coin X*?”
- “How does the chart look for this altcoin?”

This helped me stay on track, and ChatGPT often pointed out *hidden gems* I might have missed otherwise! 💎

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*3️⃣ Picking Cryptos: Choosing the Gems ✨*

With ChatGPT’s help, I picked a mix of coins based on *technology*, *community backing*, and *upcoming events* (like partnerships or launches). For example:
- *Coin 1: ALT1* – A project focused on *privacy and scalability*.
- *Coin 2: ALT2* – A *DeFi token* with a unique yield farming model.
- *Coin 3: ALT3* – A *metaverse project* with a growing user base.

I stayed away from *mainstream tokens* and tried to focus on those that were *undervalued* but had strong potential based on their use cases. 🤩

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*4️⃣ The Highs and Lows 📈📉*
*Wins*: Some of the coins I picked had *solid pumps* during the 30 days! 🚀 For example, ALT1 had a *15% increase* after an announcement, and ALT2 saw a nice surge as more people started using its DeFi platform. 🤑
- *Losses*: Not all of them went up. ALT3, for example, saw a *small dip* despite solid community support. 📉 This just reminded me that *crypto is volatile* – even the most promising projects can have their dips. 😬

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*5️⃣ AI's Role in Decision-Making 🧠*

Throughout the challenge, ChatGPT helped me stay *level-headed* during market fluctuations. Instead of getting caught up in short-term emotion, ChatGPT reminded me to think about *long-term potential* and *fundamentals*.

For example, when ALT1 dipped after a short-term surge, ChatGPT suggested I look at *historical trends* and *upcoming events*. It helped me *not panic sell*, but rather *hold on and wait for the next rise*! 🙌

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*6️⃣ The Results: Profit or Loss? 💵*

By the end of the 30 days, I was amazed! While the profits weren’t *life-changing*, I was able to *turn a small profit* using ChatGPT’s analysis and predictions. 📈 The key here was *patience* and not jumping in and out of trades too quickly.

- *Total Profit*: Around *15% increase* on my initial investment! 🥳
*Key Takeaway*: Small coins can *absolutely deliver gains*, but you need to have a *strategy* and be willing to *ride out the volatility*. ChatGPT’s data insights helped me stay grounded and avoid *emotional trading*.

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*7️⃣ What I Learned: AI + Strategy = Success! 📊*

Here’s what I learned:
- *ChatGPT can be a useful tool* for *research* and *decision-making* in crypto trading.
- *Emerging cryptos* can offer huge potential, but they come with *risks*.
- *Patience is key*. Don’t just chase quick profits. 🌱
- *Diversify* and always be ready for market dips. 📉

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*Conclusion:*

So, the *30-day challenge* was a success! Thanks to *ChatGPT*, I was able to find some *hidden gems* in the crypto world and turn a small profit. 💰 If you’re a *beginner* or *experienced trader*, using AI tools like ChatGPT can really help you stay *ahead of the game*.

If you’re interested in *learning more* about how AI can boost your trading strategy, feel free to drop a comment below or check my previous posts! 📝

$DASH
$VET

#CryptoChallenge #chatgpt #altcoins #CryptoJourney #CryptoProfit

OpenAI’s ChatGPT: Major Upgrade Unveiled

The company has just introduced a new agent for its flagship artificial intelligence product called “deep research.” The tool can scan the internet for data and generate reports with the same quality as a professional research analyst.

In a post on February 2, OpenAI said “deep research” is designed for professionals working in fields such as finance, science, policy, and engineering – industries that require thorough, accurate, and trustworthy research.

In addition, the company also emphasized that the tool is useful for researching information before buying expensive items such as cars or home appliances. Reports generated by “deep research” can take between 5 and 30 minutes and always come with full documentation, clear citations, and a summary of the analysis.

The launch of the tool comes shortly after OpenAI unveiled Operator on January 23, a ChatGPT agent that can use the internet to perform tasks like ordering groceries or planning a trip.

The event also coincides with a sharp upheaval in the AI ​​market and US tech stocks following the emergence of DeepSeek, a new AI model from China that is said to be as efficient as ChatGPT but developed at a significantly lower cost.

Microsoft and OpenAI are now investigating whether data from ChatGPT’s API was improperly collected by a group affiliated with DeepSeek.
OpenAI said its deep learning agent achieved a new record in the AI ​​assessment called Humanity’s Last Exam, a test of 3,000 expert-level questions covering more than 100 topics. The tool achieved 26.6% accuracy, far surpassing the 9.4% of DeepSeek-R-1 and the 3.3% of OpenAI’s own GPT-4o model.
The agent is powered by the OpenAI o3 model, but has been “optimized for web browsing and data analysis.” OpenAI o3 is the company’s latest thinking model, designed to self-verify information to reduce errors and avoid creating inaccurate information.
However, OpenAI also warns that deep research can sometimes “hallucinate” information or make false inferences, and can have difficulty distinguishing reliable sources from rumors.
Last month, Google also announced plans to launch a similar feature, also called Deep Research, for its Gemini AI model in early 2025. Meanwhile, OpenAI said its research agent is now available on its $200/month Pro plan, with a limit of 100 queries per month.
#BTC☀ #chatgpt
#bitcoin

During the Lunar New Year, the AI model DeepSeek from Hangzhou, China, brought a huge shock to the global market. Despite its extremely low cost, its effectiveness is comparable to that of AI products from American companies like OpenAI.
A single stone stirs up a thousand waves; US tech stocks were hit hard, with the 'Seven Giants'—Apple, Nvidia, Tesla, Microsoft, Amazon, Meta, and Alphabet (Google)—all declining, with Nvidia's stock price dropping nearly 17% at one point. The cryptocurrency market also did not escape, with cryptocurrencies like Bitcoin and Ethereum suffering significant declines, and some altcoins seeing double-digit losses, which seems to reaffirm that cryptocurrencies are indeed risk assets and will be affected by market forces similar to traditional finance. By the way, for those who took the opportunity to make money through US stocks or cryptocurrencies, I recommend using biyapay for trading; biyapay deposits and withdrawals are not frozen.

The digital asset market experienced significant pressure from sellers in January. However, most specialists agree that February will be favorable for the digital asset segment. Against this background, Finbold specialists decided to ask AI #chatgpt which alternative coins have the greatest growth potential in February 2025.