DD
MM
YYYY

PAGES

DD
MM
YYYY

spot_img

PAGES

Home Blog Page 2286

OpenAI Unveils New AI-Powered Feature “Deep Research” to Assist Users in Advanced Task

0

OpenAI, an Artificial Intelligence research organization, has announced the roll-out of a new AI-powered feature called “Deep Research” with ChatGPT, to assist users in handling complex tasks.

Deep research uses reasoning to synthesize large amounts of online information and complete multi-step research tasks for users. This feature is available to Pro users today, with subsequent roll-out to Plus and Team users. Also, it is available on the ChatGPT web and will be rolled out to mobile and desktop apps within the month.

Announcing the launch of the feature, OpenAI wrote via a blog post,

“Today we’re launching deep research in ChatGPT, a new agentic capability that conducts multi-step research on the internet for complex tasks. It accomplishes in tens of minutes what would take a human many hours. Deep research is OpenAl’s next agent that can do work for you independently–you give it a prompt, and ChatGPT will find, analyze, and synthesize hundreds of online sources to create a comprehensive report at the level of a research analyst.

“Powered by a version of the upcoming Open Al o3 model that’s optimized for web browsing and data analysis, it leverages reasoning to search, interpret, and analyze massive amounts of text, images, and PDFs on the internet, pivoting as needed in reaction to information it encounters. The ability to synthesize knowledge is a prerequisite for creating new knowledge: For this reason, deep research marks a significant step toward our broader goal of developing AGI, which we have long envisioned as capable of producing novel scientific research”.

OpenAI disclosed that “Deep Research”, was launched to assist people who do intensive knowledge work in areas like finance, science, policy, and engineering and need thorough, precise, and reliable research. This new feature aims to streamline complex, time-intensive investigations by autonomously exploring and consolidating insights from across the web. Beyond professional use, Deep Research is also tailored for discerning shoppers who require hyper-personalized recommendations for major purchases such as cars, appliances, and furniture.

What sets Deep Research apart is its ability to provide fully documented outputs, complete with clear citations and a detailed summary of its reasoning process. This ensures transparency, making it easy for users to reference and verify information. The tool excels at uncovering niche, non-intuitive details that typically require browsing multiple sources, ultimately saving users significant time and effort. To achieve this level of sophistication, Deep Research was trained on real-world tasks that require web browsing and Python-based data analysis.

It builds on the reinforcement learning techniques used to develop OpenAl’s first reasoning model, o1, which has demonstrated exceptional capabilities in coding, mathematics, and other technical fields. While o1 excels at logical problem-solving, many real-world challenges involve sifting through vast amounts of information across different sources.

Deep Research bridges this gap, combining advanced reasoning with extensive contextual analysis to tackle complex questions effectively. In an internal evaluation of expert-level tasks across a range of areas, deep research was rated by domain experts to have automated multiple hours of difficult, manual investigation. The rollout of Deep Research gives OpenAI a significant competitive edge, especially in the light of competing AI models like DeepSeek.

Looking further ahead, the startup disclosed that it envisions agentic experiences coming together in ChatGPT for asynchronous, real-world research and execution. The combination of deep research, which can perform asynchronous online investigation, and Operator, which can take real-world action, will enable ChatGPT to carry out increasingly sophisticated tasks for users.

OpenAI has launched a new artificial intelligence tool called deep research, designed to assist professionals with complex research tasks in fields like finance, science and policy. Available with ChatGPT Pro for up to 100 queries per month, the AI agent competes with similar services from companies like Google, which recently debuted a feature with the same name. Meanwhile, OpenAI on Monday announced a new joint venture with SoftBank, starting with businesses in Japan.

Palm Oil Is Gold and Bitcoin in Nigeria Right Now As Presco, Okomu Oil Continue Growth

0

Palm oil business is the new fintech except that it comes with real PROFITS, not just valuations. When you read the financial results of Okomu Oil and Presco, you will understand where the value is located right now in Nigeria. Today, Presco continues the spectacular results:

“Presco Plc has recorded an exceptional financial performance for the 2024 fiscal year, reporting a staggering N128 billion pre-tax profit, marking a 156.05% increase from the N50 billion recorded in 2023. The palm oil producer’s latest financial results, released on January 31, 2025, show robust growth across key metrics, with revenue, profits, and asset valuation all reaching new highs.”

The palm oil category has outperformed many banks in the country and you are right to anoint it as the new gold and bitcoin. Tekedia Capital is looking for builders in this space: Simply, the data looks great, and agro-allied & agro-processing companies in Nigeria have promises. Indeed when no one can find US dollars to import food items, and We The People must still eat, the local products will have moments. Indeed, this is a moment for agro in Nigeria, and young people should get into it.

With cosmetics, makeup, etc becoming a norm in the beauty space, palm oil is the new gold. You cannot produce enough palm oil these days because everyone needs it to create makeup. Tekedia Capital stands with farmers, agro-allied startups like Vetsark, Winich Farms, etc we have invested in. We want more because palm oil is the agro-bitcoin when you look at the profits these companies are declaring.

Are you building the new Presco? We want to know at Tekedia Capital capital.tekedia.com.

Presco Plc Posts Record N128bn Pre-Tax Profit for 2024, Doubling Revenue Amid Surging Operational Costs

0

Presco Plc has recorded an exceptional financial performance for the 2024 fiscal year, reporting a staggering N128 billion pre-tax profit, marking a 156.05% increase from the N50 billion recorded in 2023.

The palm oil producer’s latest financial results, released on January 31, 2025, show robust growth across key metrics, with revenue, profits, and asset valuation all reaching new highs.

The company’s fourth-quarter results were particularly strong, with pre-tax profit surging by 233.46% to N60.9 billion, a remarkable increase from the N18.2 billion reported during the same period last year. Fourth-quarter revenue also experienced a sharp rise, reaching N69.5 billion, which represents a 172.34% increase from N25.5 billion recorded in the fourth quarter of 2023.

For the full year 2024, Presco’s total revenue hit N198.1 billion, nearly doubling the N102.4 billion it recorded in 2023, reflecting a 93.48% year-on-year increase. The bulk of this revenue came from Nigeria, which accounted for 90.2% of total sales, amounting to N179.1 billion, while Ghana contributed N18.9 billion.

The company’s crude and refined palm oil products remained the primary driver of revenue, bringing in N198.14 billion, which represented 99.92% of total earnings. Meanwhile, the sale of mill by-products contributed only a modest N15.7 million to overall revenue.

However, operational costs also rose significantly. The cost of sales climbed by 68.66%, increasing from N37.3 billion in 2023 to N63 billion in 2024. The largest portion of this increase came from mill processing, refinery operations, and packaging costs, which collectively accounted for 47.8% of total production expenses.

Additionally, maintenance of mature plantings, harvesting, and laboratory expenses contributed 26.3%, while employee wages and benefits made up 14.95%. Other miscellaneous costs accounted for the remaining portion.

Presco’s gross profit more than doubled, soaring by 107.74% to N135 billion, up from N65 billion in the previous year. The company’s administrative expenses also increased, growing by 39.91% to N33 billion, largely driven by higher staff costs, management fees, and transportation expenses.

Meanwhile, selling and distribution expenses rose sharply by 81.12% to N2.8 billion, with most of this increase attributed to road transportation costs for finished products, which amounted to N2.6 billion of the total.

One of the key factors that contributed to Presco’s stellar profit growth was its foreign exchange gains and asset revaluation adjustments. The company reported an exchange rate gain of N6.1 billion, reflecting a 40.39% increase from the N4.3 billion recorded in 2023. Additionally, the revaluation of its biological assets, which includes the valuation of its palm plantations, saw a dramatic increase.

The gain from biological asset revaluation soared by 102.86%, reaching N24.8 billion, compared to N12.2 billion recorded in the previous year.

However, Presco’s finance costs continued to rise, reaching N12.7 billion, a 38.89% increase from the N9.2 billion recorded in 2023. A significant portion of this increase came from interest expenses on loans, which amounted to N12 billion. Nevertheless, the company experienced a major boost in finance income, which skyrocketed by 5,467.18% to N2.6 billion, a dramatic surge from the N48.1 million recorded the previous year.

As a result of these combined factors, Presco’s pre-tax profit for 2024 reached N128 billion, a significant improvement from N50 billion reported in 2023, cementing its position as one of Nigeria’s most profitable palm oil producers.

Presco’s asset base also witnessed substantial expansion during the year. The company’s total assets surged to N422 billion, a dramatic increase compared to N170.3 billion in 2023. This growth was driven by increases in both non-current and current assets. Non-current assets reached N233.5 billion, with property, plant, and equipment making up 67.5% of this total, while intangible assets contributed 28.4%. Current assets also more than doubled, reaching N188.4 billion, compared to N68.5 billion in the prior year. This increase was primarily driven by the growth in biological assets and trade receivables.

The company’s continued investment in plantation expansion, refining capabilities, and operational efficiency has enabled it to capitalize on the growing demand for palm oil products. However, rising production costs, foreign exchange fluctuations, and economic uncertainties remain potential challenges that could impact future growth.

Nigeria’s leadership in palm oil production has decreased over time, from 43% of the world’s production in the 1960s to less than 2% today.

Annual demand for palm oil in Nigeria currently stands at around 3 million metric tons, while annual production remains low at around 1.4 million metric tons. This is because Nigeria currently spends about 500 billion annually on imports to fill the deficit in production.

However, there has been an uptick, thanks to companies like Presco. In 2023, the production of palm oil in Nigeria reached 1.4 million metric tons. Between 2009 and 2023, the production quantity generally increased, registering the highest growth in 2010, when it grew by roughly 14 percent. From 2014 onwards, the output from palm oil production has been on the rise.

OpenAI Launches ‘Deep Research’ AI Agent for In-Depth Knowledge Work

0

OpenAI has announced a new AI-powered research tool called ChatGPT Deep Research, designed to help users conduct thorough investigations across various fields, including finance, science, policy, and engineering.

Unlike ChatGPT’s quick-response capabilities, Deep Research aims to analyze, interpret, and cross-reference information from multiple sources, providing more precise and reliable research results.

The feature, launched on January 28, 2025, is initially available to ChatGPT Pro users, with a 100-query-per-month limit. OpenAI plans to expand access to Plus and Team subscribers next, followed by Enterprise users. However, the rollout is geographically restricted, with no release timeline for users in the U.K., Switzerland, and the European Economic Area.

Unlike traditional chatbot responses, ChatGPT Deep Research is tailored for situations where users need more than just summarized answers. Whether making complex financial decisions, drafting scientific reports, or comparing high-value purchases, the tool aims to provide a more meticulous, multi-sourced research experience.

Users can access Deep Research through the ChatGPT web interface by selecting the feature in the composer and entering a query. There is also an option to attach files or spreadsheets for AI-assisted analysis. However, it’s currently a web-only feature, with mobile and desktop app integration expected later this month.

One of the defining aspects of Deep Research is the longer processing time, ranging from 5 to 30 minutes per query. OpenAI says users will receive a notification once the research is complete, reflecting the AI’s more thorough investigative process.

At launch, Deep Research’s outputs are text-only, but OpenAI has announced plans to introduce embedded images, data visualizations, and other analytical outputs in the near future. Additionally, the tool is expected to integrate with subscription-based and internal data sources for more specialized research capabilities.

Addressing AI Hallucinations and Accuracy Concerns

One of the most pressing concerns with AI research tools is accuracy. ChatGPT and other AI models have a history of hallucinations, where the AI generates misleading or incorrect information. OpenAI has attempted to mitigate these risks by ensuring every Deep Research output includes citations, source references, and a summary of its reasoning process.

Despite these safeguards, OpenAI acknowledges that Deep Research is not infallible. The company warns that the AI may still make mistakes, misinterpret data, or fail to differentiate between credible sources and rumors. Additionally, OpenAI notes that formatting errors in reports and citations remain a known issue.

A Smarter AI Model for Research

The o3 AI model, a specialized version of OpenAI’s GPT-4o, powers Deep Research. Unlike previous versions, this model has been optimized for web browsing, data analysis, and reasoning, using a method called reinforcement learning.

This means the AI learns from trial and error, receiving virtual “rewards” for achieving accurate and well-reasoned research results. The model is trained to search, interpret, and analyze vast amounts of online data, dynamically adjusting its approach when new information is encountered.

Additionally, Deep Research’s AI can analyze user-uploaded files, generate and iterate on graphs, and even embed cited images and charts from sources. This makes it particularly useful for technical and data-heavy research projects.

Performance and Competitor Comparisons

To evaluate Deep Research’s capabilities, OpenAI tested it using Humanity’s Last Exam, a benchmark containing 3,000 expert-level questions across various academic fields. The o3 model powering Deep Research scored 26.6%, far ahead of competitors:

  • Gemini Thinking (Google) – 6.2%
  • Grok-2 (X AI) – 3.8%
  • GPT-4o (OpenAI’s previous model) – 3.3%

While 26.6% may not seem like an outstanding score, OpenAI emphasizes that Humanity’s Last Exam is designed to be significantly more challenging than standard benchmarks.

However, OpenAI concedes that Deep Research still has limitations. The AI may struggle with ambiguous or conflicting information, occasionally fail to communicate uncertainty, and still require fact-checking by users.

Will Users Actually Double-Check AI Research?

The launch of Deep Research raises an important question: Will users critically analyze AI-generated reports, or will they simply copy-paste the output without verification?

While OpenAI aims to make AI research more reliable with citations and documentation, past experiences with AI search tools suggest that many users tend to trust AI-generated responses without cross-referencing.

The success of Deep Research may depend on whether users actively engage with the cited sources or simply use the tool as a shortcut for generating seemingly authoritative reports.

Interestingly, OpenAI’s Deep Research is not the first AI tool to bear that name. Google announced a similar AI-powered research feature with the exact same name less than two months ago.

While OpenAI has not commented on this similarity, the competition between major AI companies to create the most powerful and reliable research assistant is heating up.

Days ago, Chinese AI company DeepSeek released a groundbreaking chatbot named R1, whose prowess had been acknowledged by OpenAI CEO, Sam Altman. DeepSeek took the tech world by storm, igniting fresh competition with cheaper spending on the project. Altman in response, promised that OpenAI will announce new features in the coming weeks.

However, as Deep Research expands to more users and devices, the real test will be whether it can deliver trustworthy, well-cited information—or if it becomes another AI tool that occasionally gets it wrong, forcing users to verify every claim before relying on its output.

3 Coins Predicted to Do Better Than Solana (SOL) in 2025: Dogecoin (DOGE), Cardano (ADA), Rexas Finance (RXS)

0

Several cryptocurrencies are expected to beat Solana (SOL), one of the leading participants in recent years, as the crypto industry prepares for a spectacular 2025 bull run. Among them, Rexas Finance (RXS) stands out as a trailblazing initiative transforming real-world asset (RWA) tokenization; Cardano (ADA) and Dogecoin (DOGE) also exhibit strong technical indicators and positive momentum. Here is a detailed analysis of why these three currencies should surpass Solana next year.

Rexas Finance (RXS): The Big Player Predicted to Do Better Than SOL

A groundbreaking project called Rexas Finance (RXS) lets consumers easily tokenize actual assets. With just a few clicks, its platform allows you to create, manage easily, and trade asset-backed tokens for real estate, art, or commodities on any platform. Rexas Finance is a unique competitor for the 2025 bull run because it pushes the worldwide acceptance of RWA tokenization by integrating modern technologies with accessibility. Already proving outstanding performance, RXS raised over $43.67 million during its presale. Currently, in stage 12, the token costs $0.20. The presale is almost over, following a community vote to add a round. This choice also raised the expected launch price to $0.25, reflecting the great demand and project excitement. Rexas Finance distinguishes itself by its steadfast dedication to decentralization.

Unlike many initiatives depending on venture capital financing, the RXS team turned down offers from venture capitalists to make public participation in this revolutionary movement a top priority. Apart from that, the Certik audit of the project has strengthened investor trust; its price impetus has come from recent listings on CoinMarketCap and CoinGecko. With its emphasis on real-world utility and acceptance fueling its expansion, market analysts estimate that Rexas Finance (RXS) may surpass Solana (SOL) in 2025. Investors should check out RXS since, as asset tokenization gains traction, it is positioned to profit from this movement.

Dogecoin (DOGE): The Meme Coin with Serious Potential

One of the most major actors in the crypto scene is dogecoin. Its price now is $0.3548, up 1.47% in the past twenty-four hours. With an 11.28% year-to-date rise and almost 150% jump over the past three months, Dogecoin shows great bullish momentum. According to a recent technical study, Dogecoin is about to have a significant breakthrough. The daily chart’s symmetric triangular pattern suggests that DOGE’s price may soon reach $0.35.

Moreover, the Relative Strength Index (RSI) shows a bullish divergence, with higher lows on the RSI contrasting with lower lows on the price chart. The Moving Average Convergence Divergence (MACD) displays a positive crossover, indicating the possibility of a protracted climb and adding to this hope. Dogecoin could exceed its $0.10 resistance level and hit notable price goals, indicating an upward path. Its capacity to keep investor interest and change with the times makes it a coin to beat Solana in 2025.

Cardano (ADA): The Long-Term Growth Contender

Another great rival expected to surpass Solana in 2025 is Cardano (ADA). At $0.9875 right now, Cardano has experienced a 1.25% spike in the last 24 hours; during the past three months and a year, it has witnessed a startling 200% rise. Renowned for its methodical approach to development, Cardano keeps enhancing its ecosystem and increasing the application scope. The most recent technical study on Cardano shows a positive configuration with a golden cross pattern on the daily chart. This happens when the 50-day moving average exceeds the 200-day moving average, signaling a long-term uptrend. Cardano’s RSI has also broken over the 60 level, suggesting increasing momentum; meanwhile, the on-balance Volume (OBV) shows consistent rising buying activity. Analysts are looking for a possible rise toward the $5 level, and Cardano’s recent breakout above the $0.95 resistance level sets the stage for further price growth. Strong technical indicators and a solid growth roadmap make Cardano a promising altcoin for the next year.

Conclusion

In 2025, three altcoins—Rexas Finance (RXS), Dogecoin (DOGE), and Cardano (ADA)—could outshine Solana (SOL). From DOGE’s bullish momentum and ADA’s methodical expansion plan to RXS’s creative approach to asset tokenization, each of these coins has particular worth. Rexas Finance (RXS) is leading the drive toward a new age of actual asset tokenizing.

 

For more information about Rexas Finance (RXS) visit the links below:

Website: https://rexas.com

Win $1 Million Giveaway: https://bit.ly/Rexas1M

Whitepaper: https://rexas.com/rexas-whitepaper.pdf

Twitter/X: https://x.com/rexasfinance

Telegram: https://t.me/rexasfinance