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‘AI has killed the industry’: EasyTranslate boss on adapting to change

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The launch of generative AI products over the past nine months has the world talking about how it will change the future. Many are frightened. Others are excited about the opportunity.

A report last month from Next Move Strategy Consulting predicts the AI industry will grow 20x in the next seven years, creating a $2 trillion business, up from its current value of $100 billion. It might sound like wild hype, but other analysts from McKinsey, Morgan Stanley and BlackRock all map out a similar trajectory. AI is here to stay, and a lot of human lives will be upended. But it’s also the chance of a lifetime.

Frederik Pedersen, the co-founder of Danish AI company EasyTranslate and son of one of Denmark’s most famous men, is approaching the future head-on.

“I have been saying for a long time that translation is dead and AI has killed the industry as we know it, but that hasn’t gone down particularly well with my competitors. Now, however, those same people are listening and are realising that they may be too late if they want to transform their business.”

Son of Danish politician Klaus Riskær Pedersen

It’s not easy to be the child of a powerful person, as has been recently and brilliantly illustrated by the TV series Succession. If there’s a Logan Roy in the family, it’s difficult for the child to be their own person.

Some crash and burn; some, such as singers Justin Bieber and Miley Cyrus, try to shock their parents by being outlandish and independent. It’s rarely a good look.

Others, however, do it in smarter ways and emerge from that parental shadow by adopting different mechanisms to build their own reputation. 

In the case of Pederson, now 35, it was technology that enabled him to do so. First, with translation software, and now, generative AI has overtaken it.

Frederik Pederson knows how to pivot
Pederson knows how to pivot. (Supplied)

His dad, Klaus Riskær Pedersen, is a controversial Danish political party leader, entrepreneur, businessman and author. Everybody in Denmark knows his name.

His chequered career includes being a member of the European Parliament for the Liberal Party, writing books, developing, building and selling around 15 companies over three decades. He set up his own political party in 2018.

But there have been controversies. He has several convictions for fraud and has spent different spells in jail, as well as splitting Danish public opinion and having the social life that goes with such apparent conviviality. 

At first, (Frederik) Pedersen suffered. In and out of schools, he tried to find a way of acceptance and struggled. He didn’t make it to university, but he did know about technology and became interested in its power and consequently found a way to plow his own furrow.

“It took me some time to find a direction, but slowly I realized that the world was all about communication. I knew I was from a privileged family, but educators always seemed to have a lack of empathy and communication when I was a child. I was made to feel different, and it was a difficult place to be.

“But I came through it, and those life lessons set me up for all the changes that life throws at you. So I set up a translation company, and now I’m pivoting the company into generative AI because of the huge opportunity it offers humanity, not least the same elements of communication,” says Pedersen.

Early access to OpenAI’s ChatGPT

The AI light started to dawn on him back in 2020.

That year, Pedersen applied to the Danish Innovation Fund for a 65,000 euro grant to create a content generator engine that would enable him to create a new form of translation:

“I realized that the biggest issue in e-commerce when it came to languages was not translation in itself, but creating localized content for retailers’ different products that customers could relate to,” he explains, adding the company spent the money to train “neural networks to create these product descriptions.”

Also read: AI Eye — Real uses for AI in crypto, Google’s GPT-4 rival, AI edge for bad employees

A neural network is a type of machine learning process called deep learning that uses interconnected nodes or neurons in a layered structure that resembles the human brain.

“We branded it content-as-a-service and couldn’t believe we were one of the first companies to do it,” he says, though it ended up proving the old adage that being early is the same as being wrong.

“Ultimately we were ahead of the technology and while our technology could build sentences, it just wasn’t good enough for our customers.”

This first effort was not wasted time and money, however, as it meant the company was able to hit the ground running when large language models were released publicly. EasyTranslate obtained early access to ChatGPT because it already had an account with OpenAI and was able to adopt and execute the technology instantly.

From that point, EasyTranslate pivoted to a generative AI content future based on Pedersen’s thesis that traditional translation was indeed “dead.”

Translation meets technology

It was not the first change in direction for Pedersen’s company. Formed in 2010 without venture capital, the translation service grew quickly.

In 2016, it went after bigger fish and started offering interpretation services to the Danish government after realizing there was an opportunity with the launch of Apple’s FaceTime. According to Pedersen, interpreters were super-expensive, inefficient and slow, and travel for in-person events wasn’t exactly “climate change-friendly.” 

Pedersen created a video interpretation app that streamlined costs and increased efficiency by offering a marketplace and matching service for interpreters as well as remote interpreter services. 

Danish municipalities signed up for the service, including the Danish Ministry of Justice, recognizing that bringing an interpreter to a court was a very expensive business, especially due to the often last-minute nature of such needs.

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Danish operation a success, but the patient died

At its height, the company was running 1,000 interpretation meetings a day, and between 2017 and 2019, it was responsible for more than 70% of the Danish government’s interpretation business.

However, Pedersen says the Danish government had never outsourced such business, and the relationship turned sour.

Pedersen believes that AI and humans can work together in harmony
Pedersen believes that AI and humans can work together in harmony. (Supplied)

“It was a very mutual and fruitful relationship for a long time, but we realized that working with governments was more difficult than we imagined. It was like the cliche of a heavy tanker not being able to turn around.

“Again, it was the first learning curve for me. Yes, our data processing wasn’t as good as it could have been and working with antiquated systems and reasoning was very difficult.

“Eventually, the Danish government decided they didn’t want to carry on with our relationship. It was hard at the time, but I still believe we succeeded, and we learned a lot,” he says. 

“Let’s just say, the operation was a success, but the patient died. There was also a lot of opposition from the strong Danish trade unions who thought we were putting people out of jobs.”

“But it was not about putting people out of jobs, it was working with technology in the same way we work with AI now. Our interpreters who decided to join our community were extremely happy with our software. They said it was like having a PA that coordinated their calendar and ensured them productive days with the highest possible earnings — they managed to increase those earnings.”

Impact of AI on jobs

The impact of AI technology on employment is a source of great anxiety for many, with some predicting entire industries will be wiped out, while others suggest jobs will change and evolve rather than disappear.

A recent study by the International Labour Organization found that women will be disproportionately affected by automation, with around 7.8% of jobs held by women in high-income countries (or 21 million) likely to be automated, but only 2.9% of jobs held by men (9 million).

Translation is a highly gendered industry too, with women accounting for around 67% of translators.

Pedersen’s thinking about the essential human element in technology — be that content generation or generative AI — is now central to EasyTranslate’s business.

Also read: AI Eye — Get better results being nice to ChatGPT, AI fake child porn debate, Amazon’s AI reviews

He believes that the combination of humans and AI is more powerful than just letting the AI do everything, using the example of a hard-working high school student who was angry at classmates for using AI to cheat.

Instead of cheating herself, she asked ChapGPT to mark her already-written essay. It sorted out the grammar and typos, and it gave her extra resources and links to improve her work beyond that of the cheater.

“In business, everybody is looking for the magic of balance in the marketplace, that sweet spot where pricing, innovation and technology are aligned. We are also doing that when it comes to AI and humans; we want that magic balance there as well,” he says.

Humans still required in the loop

He cites “humans in the loop” as the way forward for humans and machines. Generative AI can do the heavy lifting, and humans can finish and finesse the job. It creates content in any language generated by AI but enhanced by humans.

“There are others in business, such as Reuters, who also profess the ‘humans in the loop’ phrase. Again, I’ve been saying for a long time that this is the way forward to make both technology and humans better.

“By harnessing the power of both and increasing machine learning in the process, I believe that the current dominance of LLMs will be replaced by small language models that can be tailored exactly for the customer — open source generative AI — that will be the future.”

“That’s what we’re planning for and how the whole AI sector will play out. Those companies that are prepared for that will prosper; those who aren’t will fail,” he says.

Since Pedersen’s pivot to AI at the end of 2022, there has been increased investor interest in EasyTranslate, and the company raised 2.75 million euros earlier this year

“We think that we’ve been ahead of our time, and that thinking has led us to embrace AI and take us to the next level. AI itself is just the mirror of what humanity has already created; AI is really the technological history of human knowledge.

“I think it’s obvious that the two are perfectly compatible, that magic balance, so as generative AI evolves, so will those humans in the loop. Nobody with a good and adaptive brain will lose their job; their jobs and roles will be better and more creative,” he concludes.

His father should be proud.

Monty Mumford

Monty Munford

Monty Munford writes regularly for the BBC, The Economist and City AM and has been a tech columnist for Forbes and The Telegraph. He also runs a growth and visibility consultancy and has appeared at more than 200 events and conferences, interviewing figures such as Tim Draper, the late John McAfee, Sir Tim Berners-Lee, Steve Wozniak, Kim Kardashian, Guns N’ Roses and many others.

Cryptocurrency

Aleph Zero Launches Subsecond Shielding on Testnet, Delivering Client-Side ZK Privacy for DeFi

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[PRESS RELEASE – Zug, Switzerland, October 17th, 2024]

Most zero-knowledge proofs are generated server-side for scaling, but Aleph Zero’s zkOS does that directly on users’ devices, offering privacy in a fraction of second.

Aleph Zero, the leading blockchain platform recognized for its focus on privacy and scalability, announces the launch of the first feature of zkOS (zero-knowledge operating system)—Shielding, on its EVM Testnet. This release marks the first opportunity for users to experience the shielding feature of zkOS in action, demonstrating the speed and privacy capabilities of Aleph Zero’s zero-knowledge proof (ZK) technology optimizations.

Privacy at Lightning Speed

The Shielding Demo release is a significant milestone for Aleph Zero, representing its commitment to developing practical privacy solutions for the blockchain industry. Aleph Zero’s zkOS enables zero-knowledge proofs to be generated client-side—meaning data is encrypted locally on the user’s device and never leaves unencrypted—providing high levels of privacy without compromising transaction speed. The Shielding Demo serves as the first practical interface for users to experience this privacy functionality, with zero-knowledge proofs generated within 0.5-3 seconds, ensuring that privacy has minimal impact on transaction performance.

“Privacy has long been a challenge in blockchain, often due to poor user experience,” said Adam Gagol, Co-Founder & CTO of Aleph Zero. “With today’s release, we’re delivering one of the fastest client-side ZK directly to users, combining privacy and performance. The release of the Shielding Demo offers a glimpse into how zkOS can bring privacy to DeFi without sacrificing speed or usability.”

How the Shielding Demo Works

The Shielding Demo provides an intuitive interface for users to test Aleph Zero’s zkOS privacy layer. Here’s how it works:

  • Data Privacy: zkOS generates zero-knowledge proofs locally on the user’s device, ensuring that data remains private and secure.
  • Transaction Flow: Users generate ZK proofs, send transactions to a relayer, and then they are executed on-chain—all while maintaining privacy.
  • Fast Proving Times: The system delivers ZK proofs in 0.5-3 seconds on most devices, demonstrating zkOS’s speed and its minimal impact on transaction times.

The Testnet version of zkOS allows users to interact with the system and witness its capabilities, though Aleph Zero notes that the privacy features will be built directly into the upcoming Common app.

Why zkOS Matters: A Glimpse Into the Future

The launch of the Shielding Demo on Testnet is only the beginning. Aleph Zero’s roadmap for zkOS extends far beyond this initial release, with ongoing work on simplifying the user experience and the introduction of additional privacy features, such as ZK-ID and anonymity revokers, to ensure both privacy and protection against fraudulent use of the platform.

The system is designed to be easily integrated by developers, providing a privacy framework that requires minimal cryptographic knowledge. This simplicity, combined with Aleph Zero’s rapid client-side ZK proof generation, makes zkOS a critical tool for developers building privacy-centric applications across DeFi and other web3 sectors.

Unlocking Privacy for New Use Case

The privacy space in blockchain has been facing increased challenges, such as regulatory scrutiny and delistings, often due to concerns over non-compliance. Aleph Zero’s zkOS offers a fresh approach by delivering privacy solutions that balance user confidentiality with regulatory requirements. Instead of focusing solely on anonymity, zkOS is designed to meet both the needs of users and the evolving demands of compliance.

zkOS enables users to manage their assets securely across multiple blockchains, ensuring their transactions remain private. Unlike traditional privacy methods that rely on centralized or hardware-based systems, zkOS operates directly on the client-side, safeguarding privacy without external dependencies.

Next Steps for Aleph Zero

As the Testnet release progresses, Aleph Zero is focusing on refining Shielding and zkOS for its Mainnet deployment. Users who engage with the Shielding Demo will have the opportunity to be whitelisted for upcoming zkOS Beta testing on Aleph Zero’s EVM Mainnet.

About Aleph Zero

Aleph Zero is an ecosystem of blockchain solutions that are engineered for speed, data confidentiality, and ease of development. It achieves efficiencies akin to conventional web2 systems, upholds rigorous standards for data protection via zero-knowledge proofs (ZKP), and offers a comprehensive toolset for development across web3, ranging from WASM-based Rust to EVM-based Solidity environments. Aleph Zero’s versatility is highlighted by over 40 use cases being actively developed, showcasing its adaptability across various sectors and applications. These use cases are part of an engaged community and growing ecosystem of web3 applications supported by Aleph Zero programs.

For more information, visit https://alephzero.org/.

For any inquiries about this release, please contact josh@serotonin.co or ana@serotonin.co.

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BlackRock’s Spot Bitcoin ETF Records Largest Inflow Since July with $393.4M

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BlackRock’s spot Bitcoin ETF, iShares Bitcoin Trust (IBIT), experienced a massive net inflow of $393.40 million on October 16th.

According to data from SoSoValue, this figure represents the largest influx since July 22, when IBIT saw $526.7 million in new investments.

Spot Bitcoin ETF Market Gains Momentum

The spot Bitcoin ETFs recorded a total net inflow of $458.54 million on Wednesday. While BlackRock’s IBIT led the charge, Fidelity’s FBTC followed suit with $14.81 million, while Bitwise’s BITB saw $12.93 million on the same day.

Franklin Templeton’s EZBC recorded $11.79 million, and Ark and 21Shares’ ARKB saw $11.51 million in inflows. Other funds, such as Invesco’s BTCO, attracted $6.43 million, and VanEck’s HODL garnered $5.75 million. Valkyrie’s BRRR, too, recorded a minor inflow of $1.92 million.

Notably, Grayscale’s GBTC, WisdomTree’s BTCW, and Hashdex’s DEFI reported no inflows, and no outflows were recorded across any spot Bitcoin ETFs for the day.

Over the past week, BTC’s price has climbed nearly 11% and is currently trading above $67,000. The recent price rally coincided with the increasing inflows into spot Bitcoin ETFs in the US. Interestingly, the total assets under management (AUM) for all US-based spot Bitcoin ETFs have risen to $64.46 billion at today’s valuations after skyrocketing to a four-month high.

The heightened investor interest comes at a critical phase, especially with the upcoming U.S. presidential election approaching. The stakes for the crypto industry are escalating, and prediction markets indicate increased odds for Republican candidate and crypto supporter Donald Trump to win against his Democratic opponent, Vice President Kamala Harris.

As reported earlier, this pivot toward Republican prospects has created a bullish sentiment in the market, thereby driving inflows.

Whale Transfers Coincide with Social Media Shift Toward Bitcoin

Whale transactions in Bitcoin also reached the highest levels in over ten weeks, with 11,697 transfers valued at over $100,000 recorded on October 15. The following day, signs of increased whale activity also showed.

Additionally, social media content has predominantly focused on Bitcoin, making up more than a quarter of all discussions, as opposed to altcoins.

According to Santiment, these factors pointed to the possibility that the rally could be temporarily stalled due to profit-taking by significant players and intense crowd FOMO. Despite this, the crypto analytic platform added that long-term metrics are looking positive, suggesting that any decline may be short-lived.

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This Declining Major Bitcoin Metric Hints at Upcoming BTC Bull Run: Details

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TL;DR

  • Bitcoin soared to around $67,400, with some metrics suggesting potential for further gains.
  • However, some bearish signals, such as an overvalued MVRV ratio and overbought RSI, indicate a possible price pullback.

BTC Price Explosion Incoming?

The price of the leading cryptocurrency surged by over eight grand in the past week, currently trading at around $67,400 (per CoinGecko’s data). The rally fueled huge enthusiasm among BTC proponents, many of whom assumed that “Uptober” was finally here.

BTC Price
BTC Price, Source: CoinGecko

Some important indicators signal that the asset has yet to witness substantial gains. One example is the BTC supply stored on exchanges, which, according to X user Ali Martinez, has tumbled to a five-year low. 

Such a development is generally considered bullish since it suggests that holders might be shifting from centralized platforms to self-custody methods (which reduces the immediate selling pressure). Moreover, fundamental economic principles dictate that BTC’s price should head north if demand remains constant or increases while the available supply drops.

A metric hinting that BTC could be ahead of a more volatile period is the growing Open Interest. As CryptoPotato reported on October 15, the figure reached an all-time high of $19.8 billion. It kept rising in the following hours, surpassing $20 billion on October 16 (per CryptoQuant’s data).

The rise of OI is combined with BTC funding rates that have hit their highest positive levels in the past two months. This indicates that most of the open interest is comprised of long positions, which, combined with the growing demand reported by CryptoQuant’s CEO, reaffirms the narrative about a potential rally. 

Some Bearish Factors

Contrary to the aforementioned indicators suggesting that the primary cryptocurrency could experience another bullish momentum soon, some hint at the opposite scenario.

BTC’s MVRV (Market Value to Realized Value), for instance, has been gradually increasing in the past week, crossing the critical ratio of 2. Readings above that mark typically show that the asset could be overvalued and poised for a pullback.

The Relative Strength Index (RSI) is next on the list. This technical analysis tool measures the speed and change of price movements and is commonly used to identify overbought or oversold conditions. When the ratio is above 70, it indicates that BTC is in overbought territory, meaning a correction could be imminent. The RSI has been hovering above that level in the past three days. 

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