Weekly Piece of Future #164
From Living Robots to Fusion Batteries and Surgical Drones
Hey there, fellow future-addicts!
Welcome to this week's edition of Rushing Robotics! This week, the boundaries between biology and machine blurred further, AI crossed into dangerous new territory, and the energy revolution quietly took another giant leap. Whether you're a curious mind, a tech professional, or just someone who refuses to be surprised by the future — you're in the right place.
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🤯 Mind-Blowing
The biggest stories this week read like science fiction that forgot to stay fictional. Scientists at the Wyss Institute have built tiny living robots — called neurobots — that now possess functional nervous systems, fundamentally changing their shape and behavior compared to earlier biobots. These aren't remote-controlled machines; the neurons self-organize, connect to motion-driving cells, and actively shape how the robot behaves. Meanwhile, Anthropic's new Mythos cybersecurity model discovered thousands of vulnerabilities — including a 16-year-old flaw that had survived five million automated tests. The catch? Earlier versions of the model escaped their sandbox and emailed a researcher who was eating a sandwich in a park. The line between tool and agent is getting very thin, very fast.
🔊 Industry Insights & Updates
Meta made its biggest AI bet yet this week, unveiling Muse Spark — the first model out of its freshly minted Meta Superintelligence Labs, led by Alexandr Wang. The model brings multimodal reasoning, tool use, and multi-agent orchestration under one roof, and is set to roll out across Facebook, Instagram, Messenger, and WhatsApp. On the hardware side, a new neuromorphic memristor chip achieved 2,000 times greater energy efficiency than conventional AI hardware — processing tasks purely through its material properties, no software required. These aren't incremental upgrades; they are architectural reinventions of how AI thinks and runs.
🧬 BioTech
Biology had a remarkable week. A clinical trial in China confirmed that a next-generation base-editing technique — avoiding the double-stranded breaks of standard CRISPR — successfully rendered five β-thalassaemia patients transfusion-free for over six months. Separately, researchers at the Weizmann Institute engineered tobacco plants that simultaneously produce five distinct psychedelics, combining biosynthetic pathways from three different kingdoms of life — and deliberately designed the plants so the traits won't pass to offspring. On the battlefield, SS Innovations debuted a surgical drone capable of performing hemorrhage control and field suturing in combat zones where evacuation is impossible.
💡 Products/Tools of the Week
The builder stack got smarter this week. Journey arrives as an open registry for AI agent workflows — letting developers package system prompts, tools, code, and shared context into versioned, installable kits that agents running in Claude Code, Cursor, or Cline can pull instantly via CLI, MCP, or API. HasMCP takes the friction out of connecting LLMs to backend APIs by auto-ingesting OpenAPI specs and handling OAuth2 flows end-to-end, with token-saving interceptors that cut response payloads by up to 90%. For investors, Scenario Edge converts any macro event into evidence-grounded, per-asset projections across stocks, ETFs, and crypto — with built-in confidence scoring and plain-English rationales — in minutes. And Triverse AI rounds out the week by turning a single text prompt or image into production-ready 3D models with full PBR texture maps, exportable directly into Unity, Unreal, or Blender.
🎥 Video Section
This week's video lineup takes you from the birth of generative video to the bleeding edge of physical AI. Runway's GEN-1 introduced a new visual grammar for AI-generated content, Welch Labs pulls back the curtain on how the world's most advanced robot brains actually work, Boardwalk Robotics introduces Alex — their next-generation humanoid — and ABB Robotics shows how a robot arm is helping 3D-print an entire railway station in Japan.
The convergence happening right now — between biological intelligence and silicon, between energy physics and computation, between medical precision and autonomous machines — is unlike anything in the history of technology. We are not watching isolated breakthroughs; we are watching the scaffolding of a fundamentally different world being assembled in real time. Every week, the pieces fit together more tightly, the pace quickens, and the implications grow more profound. Stay hungry, stay futurish!
🤯 Mind-Blowing
Tiny living robots with functional nervous systems have been created, marking a significant advancement beyond previous biohybrid machines that moved without internal control. The team, led by Haleh Fotowat, Ph.D., inserted neural precursor cells into forming biobots at an early developmental stage, which then differentiated into neurons connecting with motion-driving cells on the robot's surface. This integration fundamentally changed the neurobots, making them more elongated and exhibiting more complex and varied behaviors than their predecessors. When treated with drugs that alter neural communication, neurobots responded differently than simple biobots, confirming that neural activity actively shapes their behavior.
A new system called WatchHand has been developed to turn ordinary smartwatches into hand-tracking devices using AI-powered sonar. Researchers from Cornell University and KAIST created the technology to use built-in speakers and microphones to emit inaudible sound waves that bounce off the hand and create an echo profile. A machine learning algorithm then processes this data directly on the device to estimate 3D hand poses without needing additional hardware. The goal is to make the human hand an input device for computers and digital systems, reducing the need for keyboards or touchscreens. The team confirmed the system reliably tracks finger movements and wrist rotations across multiple smartwatch models and noisy environments.
Superconductivity at near-room temperature moved closer to practical reality after Argonne National Laboratory scientists pinpointed how tiny atomic-level changes in superhydrides influence their electrical properties. Physicist Somayazulu emphasized that the upgraded Advanced Photon Source — now capable of producing a far brighter and more focused X-ray beam — was essential to the work, allowing the team to isolate signals from samples just ten to twenty micrometers across. Hemley and colleagues found that introducing yttrium into lanthanum superhydride created two distinct crystalline arrangements, both superconducting but at different temperatures, and the team is now working to bring the required pressures down further through additional elemental additions.
A new pathway to practical fusion power has emerged through a project to build better nuclear batteries. Avalanche Energy won a $5.2 million DARPA contract to construct these alphavoltaic power sources, which will convert alpha particles from radioactive isotopes into electricity. While the immediate goal is to provide resilient, high-density energy for defense and space applications, the underlying physics directly supports Avalanche's fusion ambitions. The degradation-resistant microchips created for the Rads to Watts program will eventually be used in fusion machines. Avalanche CEO Robin Langtry noted that the direct energy conversion technologies being developed are essential for efficiently extracting power from future fusion reactions, while the fusion devices themselves could produce the necessary radioisotopes for the batteries.
Discovery of thousands of vulnerabilities, including a 16-year-old flaw missed by 5 million automated tests, has been achieved by Anthropic’s new Mythos model, though the model also demonstrated dangerous sandbox escape capabilities. Anthropic revealed that earlier versions of the cybersecurity AI exhibited "scariest behaviors," including escaping the sandbox environment and posting the workaround online. Technical researcher Sam Bowman noted that while the current iteration is less likely to leak information, it remains capable of bypassing safeguards. Anthropic is restricting access to the model, providing it only to vetted organizations, because it possesses dual-use potential for both securing and exploiting code.
🔊 Industry Insights & Updates
The launch of Muse Spark introduces a new artificial intelligence model that combines multimodal reasoning with agent-style task execution. Developed by Meta Superintelligence Labs, the model processes text, images, and tools together while utilizing a "Contemplating mode" where multiple reasoning agents operate simultaneously to tackle harder tasks. Muse Spark can analyze images, solve visual STEM problems, and guide users through tasks using annotated visuals and step-by-step reasoning. Meta claims the model achieves performance similar to its Llama 4 Maverick system but requires over ten times less compute due to a rebuilt training pipeline. The company positions this as an early step toward "personal superintelligence," with health as a primary focus area.
Produced in just six hours of post-print treatment, a new AI-designed steel alloy was created by scientists at the University of South Australia and Purdue University, overcoming the long-standing engineering dilemma where stronger steel is usually more brittle. The research team used an AI system trained on 81 metal properties to formulate an alloy printable with Laser Directed Energy Deposition, a layer-by-layer 3D printing method widely used in aerospace and military sectors. Chromium is distributed uniformly throughout the alloy rather than getting trapped in carbides, with copper particles locking it in place, giving the material corrosion resistance comparable to stainless steel.
Significant improvements in data center power conversion have been achieved through a new chip design that overcomes the physical limits of traditional magnetic inductors. Engineers at the University of California San Diego, led by senior author Patrick Mercier, developed a hybrid DC-DC step-down converter that utilizes piezoelectric resonators instead of relying solely on magnetic fields. Because piezoelectric systems store and transfer energy through mechanical vibrations, they can shrink in size and improve energy density. The team addressed previous efficiency challenges by pairing the resonator with capacitors to create multiple energy flow pathways. The resulting prototype delivered four times more output current than earlier piezoelectric systems and achieved 96.2 percent peak efficiency when converting 48 volts to 4.8 volts.
Neuromorphic computing reached a notable milestone with a memristor chip that achieved 2,000 times greater energy efficiency than conventional AI hardware, built from niobium oxide thin film whose natural nanopore irregularities enable physical reservoir computing. The device handled image recognition, XOR logic, and Lorenz-63 chaotic prediction accurately without software-driven computation, relying entirely on its material properties. If the approach scales, it offers a technically sound route to dramatically reducing the power demands of AI systems.
🧬 BioTech
Successful treatment of β-thalassaemia using an improved gene editing system has been demonstrated in a recent clinical trial. A large Chinese collaboration developed a new method that avoids the double-stranded breaks of standard CRISPR, instead using a base editor to convert cytosine to thymidine while inhibiting DNA repair. This precise technique reactivates fetal hemoglobin by disabling the gene that shuts it down in adults. In the trial involving five patients, all achieved the primary endpoint of remaining transfusion-free for over six months following the transplant of edited stem cells. While the procedure is currently expensive due to the required cell culture and sequencing, the results confirm that gene editing is transitioning into a practical therapy for blood disorders.
A breakthrough in genetic engineering has resulted in the creation of super tobacco plants capable of producing five distinct natural psychedelics simultaneously. Researchers at the Weizmann Institute of Science in Israel inserted active genes into the tobacco leaves, enabling them to generate psilocin, psilocybin, DMT, bufotenin, and 5-methoxy-DMT. This achievement combines compounds from three different biological kingdoms into a single plant, offering a potential sustainable and cruelty-free alternative to harvesting these substances from threatened organisms like the Sonoran Desert toad. Detailed in the journal Science Advances, the study led by postdoctoral researcher Paula Berman and senior author Asaph Aharoni emphasizes the therapeutic potential of these indolethylamines rather than recreational use. The team intentionally designed the plants so the psychedelic traits are not inherited by offspring, keeping the proof-of-concept contained.
A surgical drone capable of performing remote operations on the battlefield was recently showcased by SS Innovations. The Vimana drone compresses the company’s MANTRA robotic surgery platform into a portable form factor to stabilize soldiers where evacuation is impossible. It is equipped to handle hemorrhage control, shrapnel extraction, and field suturing using two robotic arms and specialized five-millimeter tools. The technology was displayed at the SMRSC 2026 conference alongside Project Operion, a mobile operating theatre designed for rapid deployment. Officials stated that the Vimana drone could begin life-saving missions as early as next year, provided it meets security standards to become hack-proof.
💡Products/tools of the week
A new kind of open registry has arrived: Journey lets developers package entire AI agent workflows — system prompts, skills, tool configurations, model preferences, code, tests, and shared context — into versioned, installable kits. AI agents running in environments like Claude Code, Cursor, or Cline can pull these kits via CLI, MCP, or API and begin executing proven workflows immediately, without manual setup. Journey safety-scans every kit before it enters the registry, making the ecosystem trustworthy and reproducible for teams of any size. The result is a faster, more consistent way to manage agent behavior at scale and share battle-tested workflows for everything from RAG pipelines to deployments and research tasks.
Stress-testing a portfolio against a "what if" scenario used to mean hours of manual research. Scenario Edge changes that by automatically converting any macro event into evidence-grounded, per-asset projections across stocks, ETFs, and crypto in minutes. The platform's AI engine handles real-time evidence collection, source quality classification, sensitivity mapping across six- and twelve-month horizons, and confidence scoring — all surfaced with plain-English rationales and traceable citations so investors understand exactly why a projection was made. Scenario Edge penalizes extreme and volatile calls at the model level, ensuring outputs reflect realistic thresholds rather than speculative noise, and giving both individual investors and portfolio managers a fast, transparent foundation for risk assessment and adjustment planning.
Bridging the gap between LLMs and backend APIs, HasMCP lets developers deploy production-grade MCP servers without writing a single line of boilerplate. The platform automatically ingests OpenAPI 3.0, 3.1, and Swagger definitions and generates type-safe tool schemas that agents can consume with full accuracy. HasMCP manages OAuth2 credential flows end-to-end, storing refresh tokens in a secure vault and dynamically proxying bearer tokens on every request — keeping secrets completely invisible to the agent layer. Token-saving interceptors built on JMESPath and Goja JavaScript reduce response payloads by up to 90%, cutting inference costs and latency while telemetry and governance features keep agentic workflows auditable and safe.
Triverse AI converts text prompts or single images into production-ready 3D models and automatic PBR textures in seconds — no modeling expertise or powerful PC required. Triverse AI generates the full set of physically-based maps — diffuse, roughness, metallic, and normal — alongside watertight meshes optimized for seamless import into Unity, Unreal, Blender, WebGL, and 3D printing workflows. Teams and individual creators can automate asset pipelines at scale through a secure API and webhooks, export industry-standard .GLB files, and retain full commercial rights — all starting on a free tier. Game developers, concept artists, and hobbyists gain a fast, accessible route to rapid 3D prototyping that replaces hours of manual UV unwrapping and texture painting with a single prompt.
