I just flipped 1 USD around 25 and resold it back. Shared this channel last time. Thought it was bullshit and just tried it with 1 USD worth of SOL. Should I share when there are insights like this next time?

Also, please link your Phantom with Radiyum and other Trading apps for where the market is headed. Will list the apps later

VISA : Hackers did a rug-pull by using Visa's official account

Overnight, visa's official Facebook page was compromised in a security breach, leading to the unauthorized promotion of a fraudulent token dubbed $VISA. This scam token rapidly gained traction, reaching a staggering market cap of $6 million in mere hours. However, the excitement was short-lived as the perpetrators executed a rug pull on the meme-coin.

@webthreeth

Deepseek : How did a Chinese AI startup impact the tech market's performance?

DeepSeek, a Chinese AI startup, has disrupted the tech sector by developing advanced AI models like DeepSeek-V3 at a fraction of the cost compared to U.S. giants, raising concerns about the sustainability of massive capital expenditures by U.S. firms and triggering a sell-off in tech stocks.

Its models achieve comparable performance using fewer and less advanced chips, challenging the dominance of U.S. tech companies and shaking investor confidence, especially given historical restrictions on China’s access to advanced AI chips.

The announcement of DeepSeek’s advancements caused significant declines in stocks like Nvidia, Meta, and Alphabet, as investors questioned the returns on high AI spending and the necessity of expensive,high-performance chips.

This has led to broader market volatility, impacting indices like the S&P 500 and Nasdaq, while lowering barriers to entry in the AI sector.

@webthreeth

Deepseek officially announces the creation of their latest image creation model. 

DeepSeek has officially announced their latest open-source AI model, Janus_Pro_7B, which specializes in image generation and has outperformed OpenAI's DALL-E 3 and Stable Diffusion across various benchmarks, indicating significant advancements in the competitive landscape of AI where open-source models are challenging established proprietary solutions.

@webthreeth

Alibaba's new Chinese Qwen2.5 AI model ranked as the best in Video and Motion understanding

The Qwen 2.5 AI model, specifically the Qwen2.5-VL 7B variant, stands out significantly in the realm of video understanding.

According to the test results,  Qwen2.5-VL achieves impressive scores in various video benchmarks, including a 65.1 on VideoMME, which is just slightly behind the best-performing model in this category. It also excels in MMBench-Video with a score of 1.8, demonstrating its advanced capabilities in processing and understanding video content.

These results highlight Qwen2.5-VL's superiority over other models like Qwen2-VL and even the GPT-4o Mini in handling video-related tasks, making it a preferred choice for applications requiring sophisticated video analysis and comprehension.

@webthreeth

What are AI Operator and Agents?

AI Operator and AI Agent are distinct but interconnected concepts in artificial intelligence.

An AI Operator refers to the entity, system, or role responsible for managing, deploying, and maintaining AI systems. This includes overseeing infrastructure, ensuring performance, handling updates, and addressing ethical or operational challenges—essentially acting as the "controller" that ensures AI tools function effectively and responsibly.

An AI Agent, on the other hand, is an autonomous or semi-autonomous program designed to perform tasks or make decisions in dynamic environments.

Agents use AI techniques like machine learning or natural language processing to perceive inputs, analyze data, and execute actions (e.g., chatbots, recommendation engines, or self-driving systems). While operators manage the ecosystem, agents act as the functional units within it, working under defined parameters to achieve specific goals.

@webthreeth

Sol Trending : A Telegram channel that is crucial to find trending meme coins. 

The @soltrending Telegram channel is a pivotal resource for those engaged with the Solana blockchain, acting as a dynamic hub for tracking and disseminating real-time trends. It specializes in spotlighting cryptocurrencies and tokens that are experiencing surges in popularity and value, giving users a front-row seat to the fast-paced world of Solana's meme coins.

The channel not only offers insights into which coins are trending but also delves into the specifics of new token launches, providing users with the opportunity to jump on emerging opportunities early. It keeps the community informed about significant market movements, including price changes, whale activities, and liquidity shifts. Users can leverage tools like buy bots and trend bots for immediate action on the insights provided, making @soltrending an essential tool for traders looking to capitalize on the volatile and often lucrative Solana market.

@webthreeth

How to trade Meme Coins with low slippage and network fees? 

1️⃣ Install Phantom Wallet - If you haven't already, download and install the Phantom Wallet browser extension for your web browser or use the Phantom mobile app for iOS or Android. Create a new wallet or import an existing one using your seed phrase.

2️⃣Ensure You Have SOL - Ensure your Phantom Wallet is funded with Solana (SOL) tokens because you'll need some to cover transaction fees on the Solana blockchain.

3️⃣Visit Jupiter's Website: Open your web browser and go to the Jupiter website (commonly known as jup.ag or jup.io).

4️⃣Connect Wallet - On the Jupiter homepage, you'll see a "Connect Wallet" button. Click on it.
From the list of wallet options that appear, select "Phantom".

5️⃣Authorize Connection - A pop-up from Phantom Wallet will ask for your permission to connect to Jupiter. Click "Connect" or "Approve" to authorize the connection.

6️⃣Swap Tokens - Once connected, you can now use Jupiter to swap tokens. Select the token you want to swap from and the token you want to swap to. Jupiter will provide you with the best possible exchange rates by aggregating liquidity from various decentralized exchanges (DEXs).

@webthreeth

Sorry for not being available over the past four days, I had issues with my PC which didn't allow me to work as much as I would have liked on different issues. I have got my PC back now, and I will update different things that happened around the Cryptocurrency and AI areas over the past four days.

@webthreeth

OpenAI announced it's latest GPT model known as Deep Research. 

OpenAI has recently introduced a significant advancement in their AI capabilities with the launch of "Deep Research," powered by a fine-tuned version of the o3 model. Deep Research is designed to enhance web browsing and Python analysis, leveraging the o3 model's improved reasoning capabilities.

Posts on X have highlighted that this model performs notably well, with some indicating a 26% pass rate on "Humanity's Last Exam," a benchmark meant to test AI's ability to handle complex, multi-step research tasks. This is a substantial leap from the previous state-of-the-art performance, showcasing OpenAI's commitment to advancing AI's practical application in research and information synthesis.

The o3 model itself represents a leap forward from its predecessor, o1, with significant enhancements in coding, mathematical reasoning, and problem-solving.

@webthreeth

Trump's Trade war caused a Price collapse among different types of Cryptocurrencies 

The recent escalation in Donald Trump's trade war, marked by the announcement of new tariffs on imports from Canada, Mexico, and China, has directly contributed to a notable decline in cryptocurrency prices over the last 24 hours. Specifically, tariffs of 25% on Mexican and Canadian goods and 10% on Chinese products were set to take effect from Tuesday, prompting a significant market reaction.

Bitcoin, for instance, plummeted to $94,476.18, its lowest in three weeks, while Ethereum saw a 24% drop, revisiting prices last seen in early September. This downturn was largely driven by a sell-off in both traditional and crypto markets as investors moved away from riskier assets amidst the heightened uncertainty. This uncertainty led to over $2 billion in crypto liquidations, with the majority from long positions, indicating that many leveraged traders were unprepared for the sharp declines.

@webthreeth

"Performance on GPQA Diamond"

The graph above demonstrates the progression of AI models' accuracy on the Graduate-Level Google-Proof Q&A test (GPQA).

This test consists of multiple-choice questions designed to challenge reasoning abilities, where internet access doesn't significantly benefit Ph.D. holders, who achieve only 34% accuracy outside their field of expertise but 81% within it. The data reveals a remarkable trend: AI models like GPT-3.5 Turbo and GPT-4 have shown substantial improvements over time. The latest model, labeled "03," has now surpassed the performance of Ph.D.s using Google, reaching an accuracy of 0.9.

This progress underscores the rapid enhancement in AI's reasoning capabilities, illustrating the swift pace at which AI technology is evolving in the world.

@webthreeth

I have a feeling that this will be the end of Crypto Trading as a skill in 12 - 24 months from now if Deep Research and the next evolution of AI's get hold (Especially if they get a hold of sentiment and emotion understanding of humans).

I don't think that a human can be able to compete with the ability of AI to extrapolate real-time data on forex/crypto trading. This might be a revolution at hand.

Airdrop #18 - Magic Newton 

The Newton Airdrop is an initiative by Magic Labs in collaboration with Polygon Labs, aimed at simplifying access to users, apps, and liquidity across various blockchains through the Newton network, which is the first chain unification network. This airdrop is part of the broader vision to abstract away the complexities of Web3 and dismantle onchain silos, starting with the unification of EVM chains within the AggLayer.

Participants can earn credits by engaging in activities such as signing up, connecting their wallets, rolling dice daily, and completing quests. These credits could potentially translate into rewards or further access within the Newton ecosystem, with the project having raised significant funding, including $83M, to support its development.

Link - https://www.magicnewton.com/portal

@webthreeth

Studies find that around 85 - 90% of TON Coin holders are at a loss. 

Recent data and market analysis indicate that a significant portion, around 85-90%, of TON coin holders are currently experiencing losses.

This situation is primarily attributed to a combination of factors including a 20% price drop following the arrest of Telegram's CEO Pavel Durov, which led to a massive sell-off, and broader market sentiment influenced by declining activity on the network, a death cross formation in price charts, and increasing inflation due to no cap on TON's supply.

Additionally, researchers suggest that whale investors have been reducing their holdings, contributing to bearish pressure on the coin's price.

@webthreeth

SUI Blockchain gets added to Phantom Wallet - Expanding Trading into Memecoins created on Sui Blockchain

SUI Blockchain is a layer 1 blockchain designed to offer high performance and scalability for decentralized applications (dApps). Developed by the team at Mysten Labs, which includes former engineers from Meta's Novi Research, SUI aims to provide fast transaction processing and low latency through its unique architecture.

SUI has recently been integrated into the Phantom Wallet, expanding the wallet's support beyond Solana, Bitcoin, and Ethereum. This integration allows users to manage Sui assets directly within the Phantom Wallet, which is celebrated for its user-friendly interface and secure features like staking and in-app token swaps. The addition of Sui to Phantom Wallet is a significant step towards enhancing interoperability among different blockchain ecosystems, providing users with a more seamless multichain experience.

@webthreeth

The methodology of DeepSeek created it's model from OpenAI data : Knowledge Distillation 

Knowledge distillation in artificial intelligence is a technique where a smaller, less complex "student" model learns to mimic the behavior of a larger, more sophisticated "teacher" model. The teacher model, which has been extensively trained on a dataset to achieve high accuracy, serves as a guide for the student.

This dual learning approach not only makes the student mimic the teacher's decision-making but also helps in better generalization. The benefits of this method are substantial: it enables the deployment of AI models on resource-constrained environments like mobile phones or IoT devices where the computational capacity is limited. Furthermore, it can lead to models that are not only faster and smaller but in some cases, even more accurate at making predictions due to the regularization effect of learning from soft targets.

@webthreeth

OpenAI started a new Deep Research version of Large Language Model (LLM) in it's pro version 

OpenAI has introduced "Deep Research," a new feature in ChatGPT that functions as an autonomous AI agent capable of conducting complex, multi-step research tasks. Powered by a specialized version of the upcoming OpenAI o3 model, Deep Research leverages advanced reasoning to browse, interpret, and analyze vast quantities of online content, including text, images, and PDFs.

This agent can synthesize information from hundreds of sources to generate comprehensive reports that would typically take humans many hours to compile. It aims to serve professionals in knowledge-intensive fields like finance, science, policy, and engineering, offering a significant time-saving advantage by performing tasks in just tens of minutes.

Deep Research is designed to handle complex queries and provide detailed, well-cited outputs, making it particularly valuable for tasks requiring thorough investigation and analysis. Initial access is limited to ChatGPT Pro subscribers, with plans to extend it to Plus, Team, and Enterprise users.

The feature includes capabilities such as embedding images and data visualizations in reports, and it offers detailed summaries of the research process for transparency and verification. However, OpenAI acknowledges potential limitations, including the risk of inaccuracies or misinterpretations, emphasizing that while Deep Research is a powerful tool, it should complement rather than replace human expertise and critical thinking in research.

https://openai.com/index/introducing-deep-research/

@webthreeth

Cryptocurrency Market Overview : February 10

The cryptocurrency market is experiencing a downturn today, with Bitcoin (BTC) dropping to $96,060.87, down 1.02%, and Ethereum (ETH) falling to $2,600.30, a decrease of 1.76%. Among the notable losers are Solana (SOL) at $199.35 (-1.39%), XRP at $2.3568 (-3.79%), and Cardano (ADA) at $0.669662 (-4.55%).

However, some assets are gaining; TON has increased to $3.7792 with a 0.41% gain, LEO is up to $9.8561 with a 0.13% rise, and Litecoin (LTC) has climbed to $109.267 with a significant 3.07% increase.

@webthreeth

ByteDance created an AI Video creator, designed to help creators and businesses 

ByteDance, the powerhouse behind TikTok, has ventured into AI video generation with their models 'Goku' and 'Goku+'. Goku is a flow-based generative foundation model specifically designed for the advertising domain, capable of producing ultrarealistic video content with impressive physics and movement. Building on this, Goku+ likely represents an advanced iteration, enhancing the capabilities of its predecessor by potentially offering even more sophisticated video generation techniques, aiming to revolutionize digital advertising through AI-driven, highly realistic video content.

I have seen the videos, and my God they are super impressive.
https://x.com/SebJefferies/status/1888917551825993900

@webthreeth