clone yourself with AI digital twins

A unique group of senior Silicon Valley executives is using so-called AI “digital twins” to delegate part of their daily responsibilities. Meta already warned more than a month ago that they were preparing an AI version of Mark Zuckerberg so that employees could talk to their CEO, but little by little more cases have appeared. The concept is disturbing: an AI system analyzes how they speak, write and even how they think based on the history of emails, speeches and articles. From there, the digital clone He is capable of answering subordinates’ questions, writing proposals in his own style and even, in the most advanced cases, creating video avatars that give lectures in several languages ​​simultaneously. The example of Reid Hoffman. This executive, co-founder of LinkedIn and partner at Greylock Partners, is a clear reference in this trend. His clone, which he called Reid AI, was trained with 22 years of his own content (books, podcasts, articles) to provide it with all the necessary information. The concept of digital twin, by the way, had already been used in the technological field, but with another approach quite distinct. The one on the screen is not me, it is my digital twin. Since it began using it, this digital twin has given more than 75 presentations. In fact, in one of them this AI clone was presented to the public in French, Chinese and Hindi from a giant screen. The executive highlights that “I only speak one language, my AI speaks 74, ensuring that your AI digital twin saves you 50% of the time in the weeks in which you deploy it. For Hoffman, in a decade any company with more than 50 employees will assign trained virtual twins to its managers and middle managers. Not just for speeches. These types of bots are also getting fully involved in the area of ​​human resources and internal management tasks. Bala Sathyanarayanan, HR director at the multinational packaging company Greif, uses the so-called Balabot. This chatbot has interacted with more than 3,300 employees to resolve complex questions, such as motivating underperforming workers. Barriers. As in the case of Hoffman, this manager made use of public appearances and documents, but not those private and more sensitive ones: “He does not ingest my private email or confidential files,” he assured. in WSJ. The tool works so well, says Sathyanarayanan, that some company managers claim that several employees have redirected their careers thanks to the advice of their boss’s clone. But. These digital twins however have some problems. Kelly Monahan former director at Upworkhad to turn off his Digital Kelly clone live at a conference when she began “stuttering and repeating the same phrase on a loop” in front of 200 hoteliers. Hoffman also admitted that his AI sometimes goes completely deadpan after telling a joke, for example, breaking empathy with the audience. The lack of specific data is also another obstacle: Red AI was asked what his favorite ice cream was and he answered “vanilla” because he didn’t know the answer: Hoffman’s is chocolate. Rejection among employees. There is a clear enemy in this trend, and it is the rejection of employee templates. Analyst Josh Bersin attempted to integrate digital twins of employees so that AI could compose business emails by imitating their respective styles. The workers rebelled: “No one wanted to put their entire email history into the system.” Skepticism persists among them, but some claim have turned your digital clone into a daily assistant to prepare meetings or analyze market trends. What happens if you get fired. There is a dilemma more typical of an episode of ‘Black Mirror’ than our present. If an AI becomes brilliant at its job after absorbing all the accumulated experience and knowledge, can you take it with you on a pendrive if you change jobs? Lawyer Paul Jurcys explains that it is likely that in the near future companies will have to financially compensate departing employees so that they leave their digital twin and database behind. First I clone you, then I fire you? There is an uncomfortable question when talking about this topic: will companies create digital clones for the sole purpose of replace human workers and thus save their salaries? Gartner analysts already warn that doing so without transparent communication and without the employee’s explicit consent will cause notable social rejection. There are also doubts about what happens if that digital twin makes a serious mistake: whose responsibility is it, the human employee or the company that has integrated that virtual clone? You take your double, but not what you learned. Kelly Monahan lived this situation upon leaving the company. The employee retains the rights to his or her image, voice, and personal experience, but the company retains the proprietary data of the business that the AI ​​managed to capture during that stage. After leaving the company, Upwork deleted her digital twin, but she ended up retraining a “virtual double” independently with data from her next book to use in her next stage as an independent consultant. Image | Meta, Wikimedia Commons (Anthony Quintano) In Xataka | How to create a character in ChatGPT and Gemini to use it in all the images you make with artificial intelligence

clone humans using digital avatars

Big tech companies are clear that, to promote their AI services, need content creators. At the same time, a good part of content creation goes through influencers created with AI. In case we thought that the loop couldn’t be solved, there are companies obsessed with achieving another goal: that content creators can create their own content creators… with AI. Heygen. If you’re not into the world of digital avatars, Heygen may not sound familiar to you, but the Los Angeles-based company is reliving the ChatGPT moment, but with avatars. Founded in 2020 as MovioLab, with Joshua Xu as CEO and a valuation of more than $500 million, Heygen competes head-to-head with giants like runway e ElevenLabs in the generative video space. Avatar V. Heygen has been obsessed with creating the best avatar model for years. And this week they published what, according to them, is the most advanced model in the world, Avatar V. They have data to support it, since as the company shows in a 30 page paperthe company has solved micro-expressions, gestures and lip synchronization (especially at the rhythm level) better than the rest. There is a real war between American and Chinese companies over digital avatars. a real war. As the paper shows, Heygen is not alone. Kling AI, Veo 3, OmniHuman, Seedance… Some of the most relevant companies worldwide are betting on the generation of avatars. And it’s not a random whim. Heygen has more than 40,000 companies paying for corporate video generation using avatars. The barrier to entry is falling lower and lower, the savings compared to productions with influencers are quantifiable, and production times are compressed from weeks to minutes. The key is to offer the most competitive model and an interface that works at the drop of a hat. What’s coming. Currently, avatars work with a handicap: their latency. The direction set by the paper is clear: solve this problem to achieve an avatar connected to LLMs in order to maintain conversations in real time (meetings, interviews, conferences…). The avatar industry is still emerging, but winning it is essential for a goal that AI Big Tech wants in the future: for AI to stop being a chatbot and become as close to a person as possible. In Xataka | How to create a character in ChatGPT and Gemini to use it in all the images you make with artificial intelligence

Anthropic says that Claude Sonnet 4.5 can clone a service like Slack in 30 hours. Reality is more complicated

Anthropic has launched Claude Sonnet 4.5 ensuring that they put it to work 30 hours in a row to build a Slack replica. During that time, it generated 11,000 lines of code without supervision and only stopped when completing the task. In May, its Opus 4 model managed to operate for seven hours. The company presents it as “the best model in the world for agents, programming and use of computers.” Why is it important. Anthropic, Openai and Google free a battle to dominate Autonomous agents and programming tools. Those who convince will capture a lot of money in business licenses. Scott White, product manager, says that “at the level of a cabinet chief”: coordinates agendas, analyzes data, writes reports … Dianne Penn says he uses it to search for candidates on LinkedIn and generate spreadsheets. Yes, but. The developers tell another more nuanced story. Miguel Ángel Durán, known as @Midudevsummarizes it: “Claude Sonnet 4.5 Refactor my entire project in a Prompt. 20 minutes thinking. 14 new files. 1,500 modified lines. Applied clean architecture. Nothing worked. But how beautiful it was. “ Other developers They report the same: thousands of lines with an impeccable structure, but do not execute. Code that seems professional but collapses when compiling it. Between the lines. Anthropic has not shown the application of Slack working. He has only said that he built it. Nor has it shown that the code is operational. The difference between communicating something and demonstrating it, Underlined by Ed Zitron. The company is indirectly recognizing the problem: Claude Sonnet 4.5 arrives with extra infrastructure to build agents – virtual management, memory management, context management, multiagente support …–. Translation: Even with the most advanced model, developers need extra tools for agents to program reliably. In detail. Penn He explained to The Verge that the improvements surprised the internal team. The model is three times more skilled using computers than the October version. The team spent the last month working with feedback of github and cursor. Canva, Beta-fieldsHe says he helps with “complex long context tasks.” The contrast. There is a huge gap between marketing and technical reality. Anthropic promises an AI that operates 30 hours building complex software. Developers confirm that it generates very well structured but functionally broken code. This pattern is repeated throughout the industry. The models improve generating code that seems professional. They systematically fail generating code that really works without important human intervention. And now what. The question is still unanswered: when will we pass from Which generates beautiful but diffunctional code What generates functional code alone? Anthropic bets that his combination of powerful model and extra infrastructure closes that gap. At the moment we must continue waiting for concrete evidence to arrive, do not give without verifiable code. In Xataka | Openai signs with Samsung and SK Hynix for a potential chips demand of 900,000 wafers per month. It is an absurd figure Outstanding image | Anthropic

29 years ago we clone to the Dolly sheep. Thanks to this, today we are one step closer to solving the fertility crisis

Imagine a future in which the infertility caused by the lack of ovules or sperm is no longer an insurmountable obstacle. A future where two men can have a biological child together, or where A woman who has lost her ability to produce ovules For age or for a cancer treatment may have offspring with its own genetics. This future, which until now belonged to science fiction, is a little closer thanks to a revolutionary advance that has been published in Nature. Biology This advance, which seems like a science fiction, has been made by the team of researchers at Oregon Health & Science University, led by Dr. Shoukhrat Mitalipov. In this case they have managed to develop an experimental technique that forces a skin cell (somatic) to reduce your number of chromosomes in half. It is, in essence, the most crucial and complicated step in the creation of a gamete (an ovule or a sperm). A process they have called mitomeiosis. To be able to understand it, you have to know that all the cells of our body have in total 46 chromosomes in its nucleus. But there is an exception: sperm and gametes that They have 23 chromosomes. A very important number so that when an ovule and sperm merge, they have a total of 46 chromosomes. That is why it is revolutionary that they have managed to get a skin cell to have 23 chromosomes to be an ideal candidate to give offspring. The trick. The natural process to create these haploid cells (with 23 chromosomes) is called meiosis. A very complex type of cell division that has been investigating for a long time. This made it replicate in a laboratory, which is known as in vitro gametogenesis (IVG) was one of the greatest challenges of biology. Something that now reminds us of what we already saw with the Dolly sheep in the cloning process. OHSU’s team addressed the problem in an ingenious way. Using a technique similar to cloning, called nuclear somatic cell transfer (SCNT). A technique that is complex, but can be summarized in three different steps: The first thing is to take a donated human ovule and extract the genetic material. In this way, the ovule maintained all its cytoplasm with the organelles, which ultimately is like the machinery that the cell has to produce energy and carry out many processes such as meiosis. Once done, a skin cell is taken (a diploid cell with 46 chromosomes in a 2N state) and is extracted the nucleus inside. Now it only remains to introduce the core of the skin cell into the ovule that has been emptied. The result. In this case it was amazing, since the ovule cytoplasm could ‘deceive’ the skin’s core, forcing it prematurely into a state similar to the metaphase of the Meiosis. This caused its 46 chromosomes to be organized in a spindle ready to divide, despite having skipped the DNA duplication phase in the cell cycle that is before the division of the genetic material. The problem. However, here they met a wall. In nature, the entrance of the ‘active’ sperm to complete its division, being mediated by a large number of zinc. But in this case, when they tried to fertilize the SCNT ovules with sperm, the vast majority (almost 77%) remained ‘arrested’ without reacting. The natural signal was not enough for this artificial construction. The solution in this case went to develop an artificial ‘starter’ key. After sperm fertilization, they applied an assisted activation protocol an electrical pulse by electroporation to simulate the calcium entry caused by sperm to its entrance, followed by a treatment with a chemical inhibitor called Roscovitin. And it is something that ended up working. Forced activation made the modified ovules leave their arrest and complete the division. The 46 chromosomes of the cell were separated, leaving an average of 23 chromosomes within the fertilized ovum (now a zigoto) and expelling a small polar body from the rest, having achieved the long -awaited ploidy reduction that was the objective of this experiment. Progress. The embryos resulting from this experiment containing chromosomes of the skin and sperm cell, beginning to divide and even some reached the blastocyst phase (an early development of about 5-6 days), with a success rate of 8.8%. This shows that genomes can integrate and work together. It’s just a test. The authors who are still a long way forward, since for now it is a “proof of concept” by not being a perfect replica of natural meiosis. In this case, segregation is random unlike meiosis, where it is ensured that each daughter cell receives a copy of each of the 23 types of original chromosomes. In this project the separation of homologous chromosomes (the paternal and maternal) was completely random. This generates aneuploid embryos that are incompatible with life. In addition, it also lacks ‘cross -rise’ or crossovera vital mechanism in meiosis where paternal and maternal chromosomes exchange fragments creating genetic diversity. This is something that is not present in this process and that takes away a lot of variability. The future. Despite the limitations of this study, work is a fundamental milestone. It aligns with other laboratories such as the Japanese Katsuhiko Hayashi that in 2023 managed to create functional ovules From male mice skin cells, with which healthy offspring were born. In the long term, the implications of these studies give hope to those women who suffer from infertility due to lack of functional gametes and who want to have offspring with their own genetics. The same happens in same -sex couples that also open the door for a couple of men (using a skin cell to create an ovule) or women (creating sperm) can have biologically related son between both members of the couple. Although we cannot also forget that right now there is a fertility crisis that causes that in Spain, for example, there is reduced birth rate. This is also conditioned that it is … Read more

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