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

Anthrophic Launches It's Economic Index, which aims to showcase how AI is impacting the Economy across the Globe.

The Anthropic Economic Index is an initiative by Anthropic, an AI company, aimed at tracking and analyzing the impact of artificial intelligence on labor markets and the broader economy over time.

According to Anthrophic, the tasks and occupations with by far the largest adoption of AI on Anthropic dataset were those in the “computer and mathematical” category, which in large part covers software engineering roles. 37.2% of queries sent to Claude were in this category, covering tasks like software modification, code debugging, and network troubleshooting. These were followed by Arts & Media, and Education and Library sectors.

@webthreeth

Can AI start thinking by itself : A recent research thinks so

A recent research paper which reveals that large language models can now think in a latent space.

This means that these models can perform reasoning internally without needing to display every step in a way that's visible to users. This advancement suggests that even smaller models can achieve impressive results by using smarter design rather than just being bigger, making AI more efficient and possibly more widespread.

@webthreeth

Altcoin Market Plummets by $234 Billion: Bitcoin's Performance Creates Growing Divergence

According to Glassnode, the altcoin market has just experienced one of its most significant devaluations on record, losing $234 billion in market value.

This sharp decline underscores a widening gap between altcoins and Bitcoin, which continues to outperform its counterparts.

This divergence highlights the increasing volatility and risk within the altcoin sector, while Bitcoin maintains its relative stability and investor confidence.

@webthreeth

The second president to adopt Bitcoin, launched the first memecoin - Central African Republic

In an astonishing 48-hour period since its launch, $CAR has skyrocketed from an $80K market cap to an all-time high of $900M in just four hours, with nearly $1B in trading volume on decentralized exchanges.

The memecoin has been listed on several major exchanges including @MEXC_Official, @BingXOfficial, @BitMartExchange, @LBank_Exchange, and @XTexchange, among others, and has become the trending #1 on Solana, amassing over 27,000 holders.

Alongside its market success, $CAR has launched new initiatives in the Central African Republic, endorsed by President Faustin-Archange Touadéra, making it the first-ever country memecoin.

Looking ahead, the team plans to expand exchange listings, secure major partnerships, initiate a global marketing campaign, and collaborate with large institutions to boost credibility and impact, all while continuing to update on development initiatives in the country.

@webthreeth

CZ's Dog Named Broccoli Sparks Meme Coin Frenzy Across Blockchains

Binance co-founder and former CEO Changpeng Zhao, known as "CZ," sparked a meme coin frenzy when he revealed his dog's name, Broccoli, on X, leading to the creation and speculation around numerous "CZ's Dog" tokens on BNB Chain. Tokens like CLEO, BROWNIE, and PERRY saw multi-million dollar market caps as traders tried to predict the name. However, these tokens plummeted after the reveal.

The actual naming of his 18-month-old Belgian Malinois as Broccoli triggered a rush on BNB Chain's Four.meme launchpad, with one Broccoli token momentarily reaching a $400 million market cap.

The frenzy around Broccoli-related tokens on BNB Chain was so intense that it reportedly knocked the Four.meme platform offline. Despite the chaos, one version of the BROCCOLI token settled at around a $74 million market cap, generating over $220 million in trading volume within two hours and creating at least 11 wallets with more than $1 million profits.

@webthreeth

Perplexity AI Unveils Deep Research: A Game-Changer in AI-Powered Inquiry

Perplexity AI launched its Deep Research tool, an innovative feature aimed at transforming how users conduct research. This new tool allows users to generate expert-level insights on various topics quickly, with free access up to 5 queries per day, and up to 500 queries per day for Pro users.

Deep Research performs multiple searches, reviews hundreds of sources, and compiles comprehensive reports, scoring 93.9% accuracy on the SimpleQA benchmark and 21.1% on Humanity's Last Exam, outperforming leading models like Gemini Thinking and DeepSeek-R1. This launch positions Perplexity AI as a formidable competitor in the AI research tool market, offering a solution that's both accessible and powerful.

@webthreeth

The Libra Rug Pull: From Political Promise to Crypto Catastrophe

Libra token was launched with much fanfare, promoted by none other than the President of Argentina, Javier Milei, as a means to stimulate the country's economy.

The token's market cap soared to an astonishing $4.5 billion within hours, fueled by speculative buying and promises of economic rejuvenation. However, the excitement was short-lived as insiders, including the development team, executed what's now infamously known as the "Libra Rug Pull." They manipulated liquidity pools, adding only Libra tokens without any backing assets like USDC, which allowed them to siphon off over $100 million in mere minutes, leaving retail investors with nearly worthless tokens.

The aftermath of the Libra Rug Pull was swift and severe. The token's value plummeted by 94%, erasing billions from the market cap and causing widespread panic selling among investors.

@webthreeth

Grok III : 'The Smartest AI' expected to be released on Monday

Grok 3, the latest iteration of xAI's AI model, is poised to redefine the standards of artificial intelligence with its advanced capabilities in context understanding, nuanced response generation, and insightful assistance across various knowledge areas.

With enhancements in natural language processing and machine learning, Grok 3 is set to offer improved complex reasoning and a more intuitive user interaction. This eagerly awaited update is expected to be released on Monday.

@webthreeth

OPENAI Roadmap : A single unified GPT-5 Model

The OpenAI roadmap outlines a progression towards a single unified GPT-5 model, as depicted in the image.

Starting with GPT-4.0, the roadmap shows an incremental increase in performance over time. GPT-4.5 is marked as the last non-reasoning model, indicating a shift in focus towards more advanced capabilities. The roadmap then progresses to O1 and O3, with O3 noted as not being released as a standalone model. The culmination is the GPT-5 model, which comes in three versions: Free, Plus, and Pro, integrating all tools including voice, search, canvas, and deep research.

This roadmap suggests a strategic development path aimed at enhancing performance and integrating comprehensive functionalities into a unified model.

@webthreeth