#Reprogramming

The Illuminati uses various techniques like mind-control programming, black magic rituals, and depopulation schemes but the public is too busy being distracted to notice.

We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training. We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵 Blog:

Long-term partial #reprogramming can reverse #aging-related epigenetic drift in human skin, especially at PRC2 target regions, restoring youthful DNA methylation patterns, a new study by researchers at @JohnsHopkins, @altos_labs, @KoldLab #Epigenetics

Programming where and when genes are expressed is a key goal in biology and therapeutic engineering. In a new preprint, @BrianHie, Alex Hao & team report Evo 2 can design enhancers to label single neuronal subtypes in live mouse brains when prompted with <100 example sequences.

Article✍️#Reprogramming #gut #microbiota and targeting #CXCL1: The multifaceted mechanism of #PLP1 in #ameliorating alcohol-induced #liver #disease. From Dr. Han @WannanMedicalUniversity; @Sciencedirect; @ElsevierConnect.

#stem_cells #reprogramming Scientists Reverse 60 Years of Aging in Human Cells, Turning 80-Year-Old Cells Into 20-Year-Olds

ya tienen la sub de 20 de NaN !!!

Life Bio ready for world’s first partial epigenetic reprogramming trials New COO Michael Ringel says company is confident as it prepares for clinical studies in glaucoma and NAION later this year. @davidasinclair #longevity #biotech #reprogramming #aging

Do you think you can rejuvenate your cognitive capacities? Perhaps by reprogramming specific cells in your brain? Sounds crazy? Well, it is... but it works! By using partial #reprogramming targeted to #engram cells in the mouse brain, we just did that:

🍃#Reprogramming the Dysfunctional Mind Challenging #SelfSabotaging #Beliefs 🍃🔹 @lisaaromano1 via @youtube

Happy to share the link to my SCOG online lecture on #oncofetal #reprogramming and #Immunotherapy in the #RAS driven #childhood #leukemia JMML, using #multiomics analyses on #stemcells. @singlecellomics @DKFZ @NCT_HD @TMO_Heidelberg @TransCanEpi

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💕🍃🌼 #Reprogramming The #Dysfunctional #Mind |🍃🌼 Challenging #SelfSabotaging #Beliefs @lisaaromano1 🍃💛 via @youtube

What is #reprogramming? Join @AndreaBMaier and one of the worlds expert Manuel Serrano and learn how the science of reprogramming can help to rejuvenate cells. ⏲️📅: 7th of October 7pm SGT/1pm CET Sign up here: @NUSMedicine #Longevity @aging

Online now!✨RESEARCH: Lee et al perform direct neuronal #reprogramming of aged human fibroblasts and uncover RCAN1 as a therapeutic target for neuronal resilience in #Huntington’s disease @WUSTLmed @wustlcrm @mercersom ,

🔬 Join our team in the fight against #cancer! We're looking for a motivated individual to pioneer cellular #reprogramming technology for identifying potent #neoantigens, advancing the frontier of #immunotherapy. Find more information and apply here:

As a Java developer, Please learn: 1. Core Java Mastery - OOP principles (SOLID, DRY, KISS) - Generics, Lambda expressions, Functional interfaces - Java Streams API (map/reduce, collectors) - Java Collections framework - Java Reflection API - Exception handling 2. Multithreading & Concurrency - Thread synchronization, Executors, Locks - Fork/Join framework - Understanding of race conditions, deadlocks, and thread pools - Concurrency utilities (java.util.concurrent) 3. Design Patterns & Architecture - Common design patterns (Singleton, Factory, Builder) - Architectural patterns (MVC, - Microservices, Event-Driven Architecture) - Dependency Injection (DI), Inversion of Control (IoC) 4. Java Memory Management - Garbage Collection (G1, CMS, ZGC) - JVM heap and stack management - Profiling tools (JProfiler, VisualVM) - Analyzing memory leaks, thread dumps, and heap dumps 5. Classloaders and Reflection - Custom class loaders - Dynamic class loading - Reflection for runtime behavior manipulation 6. Spring Framework & Spring Boot - Spring Core (Dependency Injection, AOP) - Spring Boot (Auto-configuration, Microservices support) - Spring Security (OAuth2, JWT) - Spring Data (JPA, Hibernate integration) - Spring Cloud (Netflix OSS, Circuit Breakers) 7. Microservices Architecture - Service discovery (Eureka, Consul) - Load balancing, distributed tracing, and circuit breaking - API Gateway (Zuul, NGINX) - Asynchronous communication with Kafka, RabbitMQ 8. RESTful Web Services - REST principles, building APIs - JSON/XML handling - API versioning, OpenAPI/Swagger documentation 9. Java I/O and NIO - Blocking vs non-blocking I/O (NIO) - Asynchronous I/O, channels, selectors - File handling, serialization and deserialization 10. Reactive Programming - Project Reactor, RxJava - Event-driven architecture, backpressure - Reactive streams, non-blocking IO 11. JPA/Hibernate - ORM principles, entity relationships - Lazy vs eager loading - Caching strategies, query optimization 12. Database Optimization - SQL optimization, indexing, and transactions - NoSQL databases (MongoDB, Cassandra) - ACID principles, CAP theorem 13. Distributed Systems - Consistency, availability, partitioning (CAP) - Event sourcing, CQRS (Command Query Responsibility Segregation) - Distributed caching (Redis, Hazelcast) - Tools: Apache ZooKeeper, Consul, etcd 14. Testing & TDD/BDD - Unit testing (JUnit, Mockito) - Integration and functional testing - Behavior-driven development (Cucumber) 15. CI/CD & DevOps - Continuous integration (Jenkins, CircleCI) - Containerization with Docker - Orchestration with Kubernetes - Source control (Git), versioning, branching strategies 16. Performance Tuning & Optimization - JVM tuning, garbage collection optimization - Caching strategies, load balancing -Tools for profiling and monitoring (Prometheus, Grafana) 17. Security - Authentication/authorization (OAuth2, JWT) - Secure coding (OWASP guidelines) - Encryption (TLS/SSL), CSRF/XSS prevention 18. Cloud Platforms & API Gateways - AWS, Azure, GCP deployment -API Gateway (Zuul, NGINX) for rate-limiting and routing - Cloud-native microservices tools 19. Logging & Monitoring - Centralized logging (ELK Stack, Graylog) - Distributed tracing (Jaeger, Zipkin) - Application Performance Monitoring (APM) 20. Caching Mechanisms - In-memory caching (Ehcache, Caffeine) - Distributed caching (Redis, Memcached) - Cache invalidation strategies (LRU, LFU) 21. Build Tools - Maven and Gradle for dependency management - Multi-module project handling - Continuous delivery pipelines 22. Message Queuing Systems - Kafka, RabbitMQ for event-driven microservices - Pub/Sub models, distributed message brokers

🌟1/7 Check out our new pre-print “A cancer #immunotherapy modality based on dendritic cell #reprogramming in vivo”, where we reprogram #tumor cells in situ to efficiently present antigens as type 1 conventional dendritic cells (cDC1s). How effective is it?

A cancer immunotherapy modality based on dendritic cell reprogramming in vivo #bioRxiv

For anyone questioning whether this post is overhyped, I think they are actually *underselling* the approach. We did similar experiments and found that Claude models can write entire, functional neural net weights from scratch!

Since so few people see my X posts these days, might as well just record this here: I am designing a new _type_ of programming language. It's not ready to share yet, not even close, despite working on it 4 - 6 hours a day since November 2025. However, when I'm done the language will provide: - Near-perfect static analysis. Write any rule you want and have it enforced deterministically. Automatically refactor anything and be totally confident the refactoring was safe. - Fast automated verification as part of the language itself. Not necessarily full formal verification automatically during compilation, but something similar. Specifying the program sufficiently for this verification will be a mandatory part of the language. Separate proofs could be written to fill in any verification gaps. Plus, the language will automatically generate property tests to prove the runtime properties of the system. - Only one way to write any correct program. This is impossible in the limit, but the language will get closer to this than any other language has ever come, as far as I know, and the static analysis properties will allow developers to specify the other rules they would need in their environments to make it true for the software they are building. - Theoretically perfect optimization. Once again, extremely difficult, but the language will provide maximal knowledge of the system to the compiler, enabling the compiler to some day reach a level of optimization beyond any other language in existence today. Reaching that actual maximum could take a decade or more, but the theoretical peak should be there, from what I can see so far. - Fast compile times with a high degree of parallelism during the build. Probably not as fast as Go, but it should be faster than Rust (though the specifics here remain to be seen). Also very good incremental build behavior to avoid recompiles, although with an option to do full optimizing analysis of the whole program for better performance. - Automatic concurrency. Get maximum efficient parallelism without ever writing a single concurrency construct. Get verification of safe concurrency at compile time. The "maximum" part is actually easy, with the language's design. The "efficient" part could take quite a bit of work but I believe we could get there (since we will have near-perfect knowledge of the system). - Way more stuff, including what I think are some of the best supply-chain security principles and large-scale software development support in the world. Once of the reasons it's not ready to share is that these are some pretty wild claims, and I want to have an actual artifact that shows that it works before I go advertising it very broadly. There is also the chance that I'm wrong or that I will hit some impassable wall at some point, although so far everything has been working out pretty wildly well. And finally, I can't field a zillion questions or write its docs right now while I am deep in its implementation. (All of that will come later, and I have plans for how to make the language accessible to both humans and agents, as well as provide a great tooling ecosystem around it.) Right now the only real barrier to its development is how much time I have to work on it. I have a day job that I genuinely love, with co-workers who I really appreciate and enjoy working with. But because of that, I only have about 6 hours a day (yes, I am working 14+ hours a day) to work on this, and even with agents it is a project that requires thousands of hours. If I could find some way to work on this full time, I would be doing it 12+ hours a day. I am confident that this is what the world of agentic software development needs right now. I am confident that I can build it. I just need the time.