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   From TLDR 2025-02-21   
      
    BIGGEST-EVER AI BIOLOGY MODEL WRITES DNA ON DEMAND (4 MINUTE READ) [7]   
      
    Scientists have released an artificial intelligence model for biology   
   trained on 128,000 genomes spanning the tree of life. It can make   
   sense of existing DNA and also write whole chromosomes and small   
   genomes from scratch. The model is available to scientists through a   
   web interface - it can also be downloaded freely. The model could be   
   used to help identify hard-to-interpret changes in people's genomes,   
   decipher complex genomes, predict the effects of mutations, and more.    
      
    FIGURE'S HUMANOID ROBOT TAKES VOICE ORDERS TO HELP AROUND THE HOUSE   
   (4 MINUTE READ) [8]    
      
    Figure has revealed a Vision-Language-Action (VLA) model for humanoid   
   robots. VLAs leverage vision and language commands to process   
   information, enabling robots to be trained through a combination of   
   video and large language models. Figure's Helix model enables robots   
   to follow natural language commands and pick up novel items with   
   varying shapes, sizes, colors, and material properties never   
   encountered before in training. Work on Helix is still at a very early   
   stage, so demonstrations should be taken with a grain of salt.    
      
    SOFTWARE ENGINEERING JOB OPENINGS HIT FIVE-YEAR LOW? (15 MINUTE READ) [11]   
      
    There has been a 35% decrease in the number of software engineering   
   job vacancies in the US since January 2020. While the story is similar   
   in Canada, things are different in the UK, France, Germany, and   
   Australia. Australia is the only country where the number of jobs   
   listed is not lower than in 2020. Software development jobs have been   
   the biggest boom and bust in vacancies compared to all industries.   
   This post discusses the reasons for the decrease and predictions for   
   what growth in the tech industry is likely to be like this year.    
      
    A.I. IS CHANGING HOW SILICON VALLEY BUILDS START-UPS (6 MINUTE READ) [12]   
      
    Tech startups used to raise huge sums to hire armies of workers and   
   grow fast, but AI tools are enabling workers to be more efficient,   
   making tiny teams more successful. Startups are using AI tools to   
   increase employees' productivity in everything from customer service   
   and marketing to coding and customer research. They are able to gain   
   more revenue with fewer employees and less cash, something that   
   wouldn't have been possible without the technology. The potential for   
   AI to let startups do more with less has led to wild speculation about   
   the future.    
      
    META STARTS ACCEPTING SIGN-UPS FOR COMMUNITY NOTES ON FACEBOOK,   
   INSTAGRAM, AND THREADS (2 MINUTE READ) [15]    
      
    Community Notes will be a way for Meta users to decide when posts are   
   misleading and add more context to posts.    
      
    GOOGLE'S AI CO-SCIENTIST IS 'TEST-TIME SCALING' ON STEROIDS. WHAT   
   THAT MEANS FOR RESEARCH (5 MINUTE READ) [16]    
      
    Google's Co-scientist is a hypothesis-formulation machine that uses   
   multiple agents.    
      
   Links:   
   ------   
   [7]   
   https://www.nature.com/articles/d41586-025-00531-3?utm_source=tldrnewsletter   
   [8] https://techcrunch.com/2025/02/20/figures-humanoid-robot-takes-voice-orders   
   -to-help-around-the-house/?utm_source=tldrnewsletter   
   [11] https://blog.pragmaticengineer.com/software-engineer-jobs-five-year-low/?u   
   tm_source=tldrnewsletter   
   [12] https://www.nytimes.com/2025/02/20/technology/ai-silicon-valley-start-ups.   
   html?unlocked_article_code=1.yk4.vJlG.Q__wftRWk5um&smid=url-share&utm_source=tl   
   drnewsletter   
   [15] https://techcrunch.com/2025/02/20/meta-starts-accepting-sign-ups-for-commu   
   nity-notes-on-facebook-instagram-and-threads/?utm_source=tldrnewsletter   
   [16] https://www.zdnet.com/article/googles-ai-co-scientist-is-test-time-scaling   
   -on-steroids-what-that-means-for-research/?utm_source=tldrnewsletter   
      
    --  https://tldr.tech   
      
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