Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.
JPMorgan Chase boosted longtime chief executive Jamie Dimon’s pay 8 per cent to $39mn last year, his largest remuneration at the US bank.
The pay rise for Dimon, the longest-serving CEO among the biggest US banks, was roughly double the bump he received in 2023.
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JPMorgan notched up record annual profits last year, with the New York-based group’s trading and investment banking units posting a blockbuster performance in the fourth quarter. Shares of the bank rose 41 per cent in 2024, in line with other large lenders.
“The annual compensation for 2024 reflects Mr Dimon’s stewardship of the firm,” JPMorgan said in a regulatory filing late on Thursday.
Dimon’s 2024 pay package included a $1.5mn salary, a $5mn cash bonus, and the rest in restricted stock. The $39mn remuneration matches that of Goldman Sachs CEO David Solomon, who was handed a 26 per cent raise.
Dimon, 68, has been running America’s biggest bank since 2006, seeing it through the 2008 financial crisis that reshaped the industry and other periods of tumult such as the coronavirus pandemic.
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JPMorgan in 2021 awarded Dimon a $50mn retention bonus that would tie him to the bank until at least the middle of 2026.
The Wall Street group also doled out double-digit pay raises to other top executives for last year.
Jennifer Piepszak, who earlier this month was named JPMorgan’s chief operating officer, was paid $21.5mn, up 16 per cent from 2023. Daniel Pinto, who Piepszak is replacing as COO, got a 5 per cent raise to $31.5mn.
Marianne Lake, who runs JPMorgan’s retail bank, also received a 16 per cent raise to $21.5mn. Lake is considered to be among the top contenders to one day replace Dimon. Piepszak, at the time of her promotion, said she was not interested in JPMorgan’s top job.
Doug Petno, who is the co-head of JPMorgan’s commercial and investment bank and also seen as a contender to replace Dimon, received a pay rise of 21 per cent to $20mn for last year.
Shaurya is the Co-Leader of the CoinDesk tokens and data team in Asia with a focus on crypto derivatives, DeFi, market microstructure, and protocol analysis.
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Recent advances in generative AI and machine learning have evolved technological communication to levels beyond what was previously comprehensible. The recent and rapid rise of Large Language Models (LLMs) which are now analysing and generating huge volumes of text outputs, prompts us to consider our progress so far and what this means for the future of human communication alongside the new agentic AI layer.
The third wave of AI will bring us to a pivotal moment in the evolution of work, where the emergence of autonomous agents promises to transform how humans and machines collaborate. For us, agentic AI represents the next frontier in this progression; a limitless digital workforce built on AI agents that can reason, take action, and integrate deeply within enterprise workflows. This innovation not only builds on the foundation of LLMs, but introduces a new agentic layer, enabling machines to move from generating insights to orchestrating and executing actions.
In order to fully grasp the potential of this technology, it is helpful to look back at the origins of language and the emergence of technical languages, where computers interrupt instructions to take action.
Paul O’Sullivan
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Prehistoric language and the roots of human communication
Language that we know and use today is the product of a long and intricate evolutionary journey. For early humans, language was believed to be primitive and simple, mostly involving gestures, facial expressions, and sounds to convey meaning.
The evolution to symbolic thinking, which refers to the ability to use concepts, symbols and signs in order to think about things not immediately present, marked a significant step change. Early evidence of symbolic thinking includes ancient cave art, which suggests a time where sounds and symbols were associated with abstract ideas.
Next came anatomical development, the evolution of vocal cords and the ability to produce complex sounds which paved the way for speech. Spoken language is believed to have emerged 50,000-100,000 years ago, giving humans valuable and unique skills such as sharing stories, preserving history, and ultimately, building complex societies.
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The evolution of language to the rise of technology
The next transformative step in language development was the invention of writing. Around 3100 BCE, humans began using written symbols to document trade, laws, and ceremony. These early writing systems evolved into alphabets, such as the Phoenician alphabet, which influenced Greek and Latin scripts and laid the foundation for many modern languages.
Languages became more diversified as the human population spread and interacted globally. In today’s interconnected world, the technological revolution has introduced a new form of language: computer programming.
Early machine languages, such as binary and assembly code, required programmers to communicate directly with machines in highly technical terms. The advent of high-level languages, such as Fortran, made programming more accessible by using syntax that mirrored human language. Today, modern languages like Python and Java, along with domain-specific languages like SQL and HTML, cater to diverse needs, from app development to database management.
Looking to the future, natural language programming promises to bridge the gap between human and machine communication. By enabling users to write instructions in plain language, this innovation could democratize coding, making it accessible to those without traditional programming expertise.
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The role of AI agents in shaping language
AI represents a definitive chapter in the evolution of language, where models are trained on vast datasets, generating human-like text and even introducing new expressions.
AI raises the possibility of machine-to-machine communication, with AI agents likely to be able to develop machine-specific languages for communication efficiency. This reflects a broader shift in how humans work alongside generative AI, with agents becoming part of the digital workforce re-emphasizes the need for AI practices grounded in trust and security.
Another impact of the interplay between human and machine communication is the emergence of hybrid languages, blending human syntax with machine-friendly structures. These changes could enhance accessibility, as we’ve already seen with the introduction of AI tools for real-time translation for those that are visually and hearing impaired.
In more speculative scenarios, AI might accelerate the creation of entirely new languages tailored to specific purposes, such as quantum computing and alternatively, humanity adopting intermediary language developed through AI.
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Language is ever changing, regardless of technological impacts
Language is a living, evolving system that reflects the needs, culture, and technology of its time. From the primitive gestures of early humans to the sophisticated algorithms of modern AI, our modes of communication have always adapted to the challenges and opportunities of the era.
The rise of AI and machine learning represents a pivotal moment in the history of language, with the potential to accelerate its evolution in ways we can’t even imagine. While these advancements offer exciting possibilities, they also compel us to preserve the cultural and human dimensions of language.
As we stand at the threshold of a new era, our agentic AI technology, exemplifies how language and technology continue to converge, creating systems that not only understand but act on our behalf. By enabling a seamless collaboration between humans and autonomous agents, this evolution signals a future where communication becomes not just a medium for expression, but a catalyst for action, driving innovation and redefining the boundaries of what is possible in work and beyond.
This article was produced as part of TechRadarPro’s Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro
The cryptocurrency market was thrown into the spotlight once again as Donald Trump’s meme coin skyrocketed to an $11 billion market cap.
This unexpected surge created ripples across the market, influencing investor sentiment and affecting the performance of key assets like Bitcoin (BTC), Ethereum (ETH), and Solana (SOL).
While meme coins continue to create excitement, utility-driven projects like Lightchain AI are gaining traction for their sustainable, long-term potential in the blockchain space.
Rise of Donald Trump’s Meme Coin
Donald Trump’s meme coin, a cryptocurrency inspired by the former U.S. president, has gained notable attention in the crypto community. The coin has ridden the wave of political fandom and meme culture, leveraging Trump’s controversial and polarizing persona.
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Recent reports suggest a surge in trading activity following Trump’s return to mainstream platforms like X (formerly Twitter) and the 2024 presidential campaign announcement. While the coin is primarily driven by speculative interest, it reflects the growing trend of politically-themed cryptocurrencies capitalizing on cultural relevance.
Analysts, however, warn about its high volatility and lack of tangible utility, urging investors to exercise caution. Despite this, the meme coin’s presence highlights the fusion of politics and decentralized finance, further solidifying the cultural impact of blockchain-based assets in unconventional spaces.
Market Reaction – Bitcoin, Ethereum, and Solana
The rise of Trump’s meme coin created mixed effects on major cryptocurrencies like Bitcoin, Ethereum, and Solana. Bitcoin (BTC) experienced slight downward pressure as attention shifted toward the meme coin frenzy. However, its dominance in the market provided relative stability despite the speculative hype.
Ethereum (ETH), on the other hand, saw moderate fluctuations but continued to attract investors through its robust DeFi and NFT ecosystems. Its resilience to market trends reinforced its position as a foundational crypto asset.
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Solana (SOL) witnessed increased trading volume as investors explored options amidst the meme coin craze. Its focus on scalability and speed allowed it to maintain interest, even as the market faced turbulence driven by speculative activity.
Lightchain AI Long-Term Alternative
While speculative meme coins like Trump’s token grab headlines, utility-driven projects like Lightchain AI are quietly stealing the spotlight as smart, long-term investments.
Lightchain AI is where artificial intelligence meets blockchain innovation, tackling real-world challenges with unmatched scalability and security. Its cutting-edge tech—like sharding and Layer 2 solutions—powers lightning-fast, high-throughput AI tasks effortlessly.
But what really sets Lightchain AI apart? Privacy. With advanced features like Zero-Knowledge Proofs (ZKPs) and Homomorphic Encryption, it keeps sensitive data secure while enabling computations on encrypted data without compromise.
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By blending innovation, trust, and practicality, Lightchain AI is proving it’s more than just a concept—it’s a game-changer in the blockchain space. Ready to invest in the future?
Disclaimer: This is a sponsored article and is for informational purposes only. It does not reflect the views of Crypto Daily, nor is it intended to be used as legal, tax, investment, or financial advice.
US equities have soared to their most expensive level relative to government bonds in a generation, amid growing nervousness among some investors over high valuations of megacap technology companies and other Wall Street stocks.
A record-breaking run for US equities, which hit a fresh high on Wednesday, has pushed the so-called forward earnings yield — expected profits as a percentage of stock prices — on the S&P 500 index down to 3.9 per cent, according to Bloomberg data. A sell-off in Treasuries has driven 10-year bond yields up to 4.65 per cent.
That means the difference between the two, a measure of the so-called equity risk premium, or the extra compensation to an investor for the risk of owning stocks, has fallen into negative territory and reached a level last seen in 2002 during the dotcom boom and bust.
“Investors are effectively saying ‘I want to own these dominant tech companies and I am prepared to do it without much of a risk premium,’” said Ben Inker, co-head of asset allocation at asset manager GMO. “I think that is a crazy attitude.”
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Analysts said the US’s steep equity valuations, labelled the “mother of all bubbles”, were the result of fund managers clamouring for exposure to the country’s buoyant economic and corporate profits growth, as well as a belief among many investors that they cannot risk leaving the so-called Magnificent Seven tech stocks out of their portfolios.
“The questions we are getting from clients are, on the one hand, concerns about market concentration and how top heavy the market has become,” Inker said. “But, on the other side, people are asking ‘shouldn’t we just own these just dominant companies because they are going to take over the world?’”
The traditionally constructed equity risk premium is sometimes known as the “Fed model”, because Alan Greenspan appeared to refer to it at times when he was chair of the Federal Reserve.
However, the model has its detractors. A 2003 paper by Cliff Asness, founder of fund firm AQR, criticised the use of Treasury yields as an “irrelevant” nominal benchmark and said the equity risk premium failed as a predictive tool for stock returns.
Some analysts now employ an equity risk premium that compares stocks’ earning yield to inflation-adjusted US bond yields. On this reading, the equity risk premium is also “at its lowest level since the dotcom era”, said Miroslav Aradski, senior analyst at BCA Research, although it is not negative.
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The premium could even understate how expensive stocks are, Aradski added, because it implicitly assumes that the earnings yield is a good proxy for the future real total return from equities.
Given that profit margins are above their historic average, if they were to “revert towards their historic norms, earnings growth could end up being very weak”, he said.
Some market watchers look to altogether different measures. Aswath Damodaran, professor of finance at the Stern School of Business at New York University, is sharply critical of the Fed model and said the right way to compute the equity risk premium was to use expectations of cash flows and cash payout ratios.
By his calculations, the equity risk premium has declined over the past 12 months and is close to its lowest level in the past 20 years, but is “definitely not negative”.
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Equities’ valuation relative to bonds is just one measure of exuberance cited by managers. Others include US stocks’ price-to-earnings valuation against their own history or compared with stocks in other regions.
“There are quite a few red flags here that should make us a bit cautious,” said Chris Jeffery, head of macro at Legal & General’s asset management division. “The most uncomfortable one is the difference between the way that US equities and non-US equities are priced.”
Many investors argue that high multiples are justified and can be sustained. “It is undeniable that [US stocks’ price-to-earnings] multiple is high relative to history, but that doesn’t necessarily mean that it is higher than it should be, given the underlying environment,” said Goldman Sachs’ senior equity strategist Ben Snider.
On Goldman’s own model, which suggests what the PE ratio for the US blue-chip equity index should be, after taking account of the interest rate environment, labour market health and other factors, the S&P is “in line with our modelled fair value”, Snider said.
“The good news is that earnings are growing and, even with unchanged valuations, earnings growth should drive equity prices higher,” he added.
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US stocks have now regained all the ground lost during a fall since December. That sell-off highlighted some investors’ concerns that there was a level of Treasury yields that the stock market rally could not live with, because bonds — a traditional haven asset — would appear so attractive.
Pimco’s chief investment officer said this week that relative valuations between bonds and equities “are about as wide as we’ve seen in a long time”, and the same policies that could take bond yields higher threatened to hit stocks.
For others, US stocks’ declining risk premium is just another reflection of investors piling into Big Tech stocks and the risk that concentration in a small number of big names poses to portfolios.
“Even though the momentum is strong on the Mag 7, this is the year where you want to be diversified on your equity exposure,” said Andrew Pease, chief investment strategist at Russell Investments.
U.S. authorities have indicted five people over their alleged involvement in a multi-year scheme that saw them obtain remote IT employment with dozens of American companies.
The Department of Justice on Thursday announced the indictment of North Korean citizens Jin Sung-Il and Pak Jin-Song; Pedro Ernesto Alonso De Los Reyes of Mexico, and U.S. nationals Erick Ntekereze Prince and Emanuel Ashtor.
The DOJ said the FBI arrested Ntekereze and Ashtor, and a search of Ashtor’s home in North Carolina found evidence of a “laptop farm” that hosted company-provided laptops to deceive organizations into thinking they had hired workers based in the U.S.
Alonso was also arrested in the Netherlands after a U.S. warrant was issued.
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According to the indictment, Ntekereze and Ashtor allegedly installed remote access software, including Anydesk and TeamViewer, on the company-provided devices, allowing the North Koreans to conceal their locations. The two Americans also provided Jin and Pak with forged identity documents, including U.S. passports and U.S. bank accounts.
The indictment alleges that the defendants gained employment from at least 64 American organizations over the course of the multi-year scheme, which ran from April 2018 through August 2024. These included a U.S. financial institution, a San Francisco-based technology company, and a Palo Alto-headquartered IT organization.
According to the Justice Department, payments from ten of those companies generated at least $866,255 in revenue, most of which was laundered through a Chinese bank account.
“The Department of Justice remains committed to disrupting North Korea’s cyber-enabled sanctions-evading schemes, which seek to trick U.S. companies into funding the North Korean regime’s priorities, including its weapons programs,” Devin DeBacker, supervisory official with the Justice Department’s National Security Division, said in a statement.
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Alongside Thursday’s indictments, which come just days after the Treasury Department sanctioned two individuals and four entities for allegedly engaging in similar behavior, the FBI released an advisory warning that North Korean IT workers are increasingly engaging in malicious activity, including data extortion.
The agency said it has observed North Korean IT workers leveraging unlawful access to company networks to “exfiltrate proprietary and sensitive data, facilitate cyber-criminal activities, and conduct revenue-generating activity on behalf of the regime.”
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
With $800 split across four standout cryptos, including Lightchain AI, traders could be on track for life-changing wealth by 2025.
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The cryptocurrency market is teeming with opportunities for investors seeking life-changing returns. Strategic investments in smart projects can unlock massive potential, especially for those who act early.
With $800 divided among four standout cryptos, including Lightchain AI, traders could position for generational wealth by the end of 2025. Here’s why these projects stand out and how they could deliver exponential returns.
Cardano and Solana: Innovation and scalability
Cardano (ADA) and Solana (SOL) are top blockchain sites that focus on being bigger and faster. Cardano has the Ouroboros Proof-of-Stake (PoS) way, which puts safety and power savings first. The new Plomin hard fork brought in Plutus V3, and some rules for how it runs, helping with size and spreading out control. As of January 20, 2025, ADA is selling at $0.990262 USD, with a peak of $1. 12 USD and a low of $0. 964891 USD.
Solana joins Proof-of-History (PoH) with PoS for high speed and low wait time, dealing with nearly 65,000 deals each second. The start of Solana v2. 0 helped the network stay strong and work better. Right now, SOL sells at $232. 45 USD, with a peak of $293. 79 USD and a low of $231. 70 USD.
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Lightchain AI: Transforming blockchain with AI integration
Lightchain AI is revolutionizing blockchain technology by integrating artificial intelligence to solve complex, real-world problems.
At its core is federated governance, a decentralized decision-making system that allows token holders to actively shape the platform’s development.
This ensures transparency, inclusivity, and community-driven innovation, setting Lightchain AI apart as a leader in blockchain advancement. Having already raised $12 million during its presale, the platform has attracted significant attention from investors and industry leaders.
Its roadmap focuses on expanding into key industries such as finance, healthcare, and logistics, showcasing its potential for long-term growth. With its smart approach and growing ecosystem, Lightchain AI is poised to make a lasting impact across multiple sectors.
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Ripple: Leader in cross-border payments
Ripple’s XRP is transforming cross-border payments with a fast, reliable, and cost-effective solution, enabling value to move globally as easily as information today.
Traditional international transactions often face high costs, delays, and lack of transparency. Ripple tackles these issues with its On-Demand Liquidity (ODL) feature, using XRP as a bridge currency for real-time settlements and eliminating the need for pre-funded accounts. This reduces costs and boosts efficiency in global financial transactions.
As of writing, XRP is trading at $3.08 USD, down 0.05521% from the previous close, with an intraday high of $3.26 USD and a low of $2.90 USD. Recent analyses, including a report by JPMorgan, highlight Ripple and XRP’s potential to unlock value in cross-border payments, reinforcing their growing role in the financial sector.
Disclosure: This content is provided by a third party. crypto.news does not endorse any product mentioned on this page. Users must do their own research before taking any actions related to the company.
Dogecoin’s (DOGE) price remains volatile as anticipation builds around potential ETF approvals from firms like Bitwise and Osprey Funds.
Bitcoin (BTC) has been hovering between $101,000 and $109,500 in the past few days, with the volatility likely driven by the political changes in the USA.
The launch of TRUMP and MELANIA meme coins sparked massive hype, but recent drops and scam risks highlight the dangers involved with the niche.
DOGE on the Spotlight
The biggest meme coin drew the crypto community’s attention on January 21, when its price experienced a double-digit spike in a matter of minutes. The rally was fueled by the newly established Department of Government Efficiency (D.O.G.E.), which featured the asset’s logo on its official website.
Dogecoin’s valuation surged to $0.40, but the rally was short-lived. Currently, it is worth around $0.36 (per CoinGecko’s data), while D.O.G.E.’s website removed the logo from its front page.
It is important to note that further announcements coming from the agency may continue to impact the token. After all, D.O.G.E.is led by Elon Musk, who is an outspoken advocate of the OG meme coin and often endorses it on X.
Despite its enhanced volatility, Dogecoin has been the subject of numerous bullish predictions lately. One of the biggest optimists is the popular analyst Ali Martinez, who envisioned the price exploding to $15. He based his prediction on the potential approval of Bitwise’s filing to launch a Dogecoin exchange-traded fund (ETF).
The company submitted its application with the SEC on January 22, while prior to that, REX Advisors and Osprey Funds jointly filed to introduce an ETF that includes exposure to DOGE.
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BTC’s Rollercoaster
The primary cryptocurrency also passed through severe turbulence in the past few days. It hit a new all-time high of almost $110,000 on January 20 (hours before Donald Trump’s inauguration) but fell to approximately $101,000 once the Republican officially became America’s 47th President. The plunge was likely caused by Trump’s speech, which did not include any comments about the crypto industry.
In the following days, BTC continued to experience substantial volatility. On January 23, it spiked to $106,000 after US Senator Cynthia Lummis hinted that “big things are coming” for the asset.
The crypto community speculated that the news could be related to the potential establishment of a strategic BTC reserve in the US. However, President Trump signed an executive order to review the creation of a “National Digital Asset Stockpile,” expanding the scope of the effort to other cryptocurrencies.
In the aftermath, BTC’s price tumbled to $103,000 before rising to its current $105,300 (per CoinGecko’s data).
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TRUMP and MELANIA
Lastly, we will touch upon some of the most trending meme coins lately: those issued by the US President and his wife. Official Trump (TRUMP) saw the light of day on January 18, and hours later, its market capitalization reached a whopping $14.5 billion. The surge was fueled by massive hype and support from leading exchanges such as Binance and Coinbase.
America’s first lady also dived in, launching a meme coin called Melania Meme (MELANIA). Its market capitalization also soared into the billions, although it did not reach TRUMP’s dimensions.
However, both tokens have plunged significantly in the last few days, showcasing the unpredictable and volatile nature of the meme coin niche. In addition, scammers have supposedly created multiple fake websites offering dubious services with TRUMP and MELANIA, with the sole purpose of conning unsuspecting victims.
People who are about to enter the ecosystem should first do proper research and invest only as much as they are ready to lose.
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