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TechCrunch
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Teslaβs Texas factory workforce reportedly shrunk 22% in 2025
Tesla's headcount fell from 21,191 workers to 16,506 workers in 2025, according to a report, as it grappled with its second straight year of declining sales.
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TechCrunch
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OpenAI executive shuffle includes new role for COO Brad Lightcap to lead βspecial projectsβ
In addition to Lightcap's new role, OpenAI CMO Kate Rouch will be stepping away from the company to focus on cancer recovery, with a plan to return when her health allows.
OpenAI executive shuffle includes new role for COO Brad Lightcap to lead βspecial projectsβ
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TechCrunch
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Anthropic buys biotech startup Coefficient Bio in $400M deal: Reports
Anthropic has purchased the stealth biotech AI startup Coefficient Bio in a $400 million stock deal, according to The Information and Eric Newcomer.
Anthropic buys biotech startup Coefficient Bio in $400M deal: Reports
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TechCrunch
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Anthropic ramps up its political activities with a new PAC
With the midterms right around the corner, the new group is positioned to back candidates who support the AI company's policy agenda.
Anthropic ramps up its political activities with a new PAC
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TechCrunch
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AI companies are building huge natural gas plants to power data centers. What could go wrong?
Meta, Microsoft, and Google are all betting big on new natural gas power plants to run their AI data centers. They may regret it.
AI companies are building huge natural gas plants to power data centers. What could go wrong?
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TechCrunch
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People would rather have an Amazon warehouse in their backyard than a data center
A new poll shows that the debate over data centers is far from settled.
People would rather have an Amazon warehouse in their backyard than a data center
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MIT Technology Review
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Four things weβd need to put data centers in space
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand whatβs coming next. You can read more from the series here. In January, Elon Muskβs SpaceX filed an application with the US Federal Communications Commission to launch up to one million data centers into Earthβs orbit. The goal? To fully unleash the potential of AI without triggering an environmental crisis on Earth. But could it work? SpaceX is the latest in a string of h
Four things weβd need to put data centers in space
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand whatβs coming next. You can read more from the series here.
In January, Elon Muskβs SpaceX filed an application with the US Federal Communications Commission to launch up to one million data centers into Earthβs orbit. The goal? To fully unleash the potential of AI without triggering an environmental crisis on Earth. But could it work?
SpaceX is the latest in a string of high-tech companies extolling the potential of orbital computing infrastructure. Last year, Amazon founder Jeff Bezos said that the tech industry will move toward large-scale computing in space. Google has plans to loft data-crunching satellites, aiming to launch a test constellation of 80 as early as next year. And last November Starcloud, a startup based in Washington State, launched a satellite fitted with a high-performance Nvidia H100 GPU, marking the first orbital test of an advanced AI chip. The company envisions orbiting data centers as large as those on Earth by 2030.
Proponents believe that putting data centers in space makes sense. The current AI boom is straining energy grids and adding to the demand for water, which is needed to cool the computers. Communities in the vicinity of large-scale data centers worry about increasing prices for those resources as a result of the growing demand, among other issues.
In space, advocates say, the water and energy problems would be solved. In constantly illuminated sun-synchronous orbits, space-borne data centers would have uninterrupted access to solar power. At the same time, the excess heat they produce would be easily expelled into the cold vacuum of space. And with the cost of space launches decreasing, and mega-rockets such as SpaceXβs Starship promising to push prices even lower, there could be a point at which moving the worldβs data centers into space makes sound business sense. Detractors, on the other hand, tell a different story and point to a variety of technological hurdles, though some say itβs possible they may be surmountable in the not-so-distant future. Here are four of the must-haves weβd need to make space-based data centers a reality.Β
A way to carry away heatΒ
AI data centers produce a lot of heat. Space might seem like a great place to dispel that heat without using up massive amounts of water. But itβs not so simple. To get the power needed to run 24-7, a space-based data center would have to be in a constantly illuminated orbit, circling the planet from pole to pole, and never hide in Earthβs shadow. And in that orbit, the temperature of the equipment would never drop below 80 Β°C, which is way too hot for electronics to operate safely in the long term.Β
Getting the heat out of such a system is surprisingly challenging. βThermal management and cooling in space is generally a huge problem,β says Lilly Eichinger, CEO of the Austrian space tech startup Satellives.
On Earth, heat dissipates mostly through the natural process of convection, which relies on the movement of gases and liquids like air and water. In the vacuum of space, heat has to be removed through the far less efficient process of radiation. Safely removing the heat produced by the computers, as well as whatβs absorbed from the sun, requires large radiative surfaces. The bulkier the satellite, the harder it is to send all the heat inside it out into space.
But Yves Durand, former director of technology at the European aerospace giant Thales Alenia Space, says that technology already exists to tackle the problem.
The company previously developed a system for large telecommunications satellites that can pipe refrigerant fluid through a network of tubing using a mechanical pump, ultimately transferring heat from within a spacecraft to radiators on the exterior. Durand led a 2024 feasibility study on space-based data centers, which found that although challenges exist, it should be possible for Europe to put gigawatt-scale data centers (on par with the largest Earthbound facilities) into orbit before 2050. These would be considerably larger than those envisioned by SpaceX, featuring solar arrays hundreds of meters in sizeβlarger than the International Space Station.
Computer chips that can withstand a radiation onslaught
The space around Earth is constantly battered by cosmic particles and lashed by solar radiation. On Earthβs surface, humans and their electronic devices are protected from this corrosive soup of charged particles by the planetβs atmosphere and magnetosphere. But the farther away from Earth you venture, the weaker that protection becomes. Studies show that aircraft crews have a higher risk of developing cancer because of their frequent exposure to high radiation at cruising altitude, where the atmosphere is thin and less protective.
Electronics in space are at risk of three types of problems caused by high radiation levels, says Ken Mai, a principal systems scientist in electrical and computer engineering at Carnegie Mellon University. Phenomena known as single-event upsets can cause bit flips and corrupt stored data when charged particles hit chips and memory devices. Over time, electronics in space accumulate damage from ionizing radiation that degrades their performance. And sometimes a charged particle can strike the component in a way that physically displaces atoms on the chip, creating permanent damage, Mai explains.
Traditionally, computers launched to space had to undergo years of testing and were specifically designed to withstand the intense radiation present in Earthβs orbit. These space-hardened electronics are much more expensive, though, and their performance is also years behind the state-of-the-art devices for Earth-based computing. Launching conventional chips is a gamble. But Durand says cutting-edge computer chips use technologies that are by default more resistant to radiation than past systems. And in mid-March, Nvidia touted hardware, including a new GPU, that is βbringing AI compute to orbital data centers.βΒ
Nvidiaβs head of edge AI marketing, Chen Su, told MIT Technology Review, that βNvidia systems are inherently commercial off the shelf, with radiation resilience achieved at the system level rather than through radiationβhardened silicon alone.β He added that satellite makers increase the chipsβ resiliency with the help of shielding, advanced software for error detection, and architectures that combine the consumer-grade devices with bespoke, hardened technologies.
Still, Mai says that the data-crunching chips are only one issue. The data centers would also need memory and storage devices, both of which are vulnerable to damage by excessive radiation. And operators would need the ability to swap things out or adapt when issues arise. The feasibility and affordability of using robots or astronaut missions for maintenance is a major question mark hanging over the idea of large-scale orbiting data centers.
βYou not only need to throw up a data center to space that meets your current needs; you need redundancy, extra parts, and reconfigurability, so when stuff breaks, you can just change your configuration and continue working,β says Mai. βItβs a very challenging problem because on one hand you have free energy and power in space, but there are a lot of disadvantages. Itβs quite possible that those problems will outweigh the advantages that you get from putting a data center into space.β
In addition to the need for regular maintenance, thereβs also the potential for catastrophic loss. During periods of intense space weather, satellites can be flooded with enough radiation to kill all their electronics. The sun has just passed the most active phase of its 11-year cycle with relatively little impact on satellites. Still, experts warn that since the space age began, the planet has not experienced the worst the sun is capable of. Many doubt whether the low-cost new space systems that dominate Earthβs orbits today are prepared for that.
A plan to dodge space debris
Both large-scale orbiting data centers such as those envisioned by Thales Alenia Space and the mega-constellations of smaller satellites as proposed by SpaceX give a headache to space sustainability experts. The space around Earth is already quite crowded with satellites. Starlink satellites alone perform hundreds of thousands of collision avoidance maneuvers every year to dodge debris and other spacecraft. The more stuff in space, the higher the likelihood of a devastating collision that would clutter the orbit with thousands of dangerous fragments.
Large structures with hundreds of square meters of solar arrays would quickly suffer damage from small pieces of space debris and meteorites, which would over time degrade the performance of their solar panels and create more debris in orbit. Operating one million satellites in low Earth orbit, the region of space at the altitude of up to 2,000 kilometers, might be impossible to do safely unless all satellites in that area are part of the same network so they can communicate effectively to maneuver around each other, Greg Vialle, the founder of the orbital recycling startup Lunexus Space, told MIT Technology Review.
βYou can fit roughly four to five thousand satellites in one orbital shell,β Vialle says. βIf you count all the shells in low Earth orbit, you get to a number of around 240,000 satellites maximum.β
And spacecraft must be able to pass each other at a safe distance to avoid collisions, he says.Β
βYou also need to be able to get stuff up to higher orbits and back down to de-orbit,β he adds. βSo you need to have gaps of at least 10 kilometers between the satellites to do that safely. Mega-constellations like Starlink can be packed more tightly because the satellites communicate with each other. But you canβt have one million satellites around Earth unless itβs a monopoly.β
On top of that, Starlink would likely want to regularly upgrade its orbiting data centers with more modern technology. Replacing a million satellites perhaps every five years would mean even more orbital trafficβand it could increase the rate of debris reentry into Earthβs atmosphere from around three or four pieces of junk a day to about one every three minutes, according to a group of astronomers who filed objections against SpaceXβs FCC application. Some scientists are concerned that reentering debris could damage the ozone layer and alter Earthβs thermal balance.Β
Economical launch and assembly
The longer hardware survives in orbit, the better the return on investment. But for orbital data centers to make economic sense, companies will have to find a relatively cheap way to get that hardware in orbit. SpaceX is betting on its upcoming Starship mega-rocket, which will be able to carry up to six times as much payload as the current workhorse, Falcon 9. The Thales Alenia Space study concluded that if Europe were to build its own orbital data centers, it would have to develop a similarly potent launcher.Β
But launch is only part of the equation. A large-scale orbital data center wonβt fit in a rocketβeven a mega-rocket. It will need to be assembled in orbit. And that will likely require advanced robotic systems that do not exist yet. Various companies have conducted Earth-based tests with precursors of such systems, but they are still far from real-world use.
Durand says that in the short term, smaller-scale data centers are likely to establish themselves as an integral part of the orbital infrastructure, by processing images from Earth-observing satellites directly in space without having to send them to Earth. That would be a huge help for companies selling insights from space, as many of these data sets are extremely large, and competition for opportunities to downlink them to Earth for processing via ground stations is growing.
βThe good thing with orbital data centers is that you can start with small servers and gradually increase and build up larger data centers,β says Durand. βYou can use modularity. You can learn little by little and gradually develop industrial capacity in space. We have all the technology, and the demand for space-based data processing infrastructure is huge, so it makes sense to think about it.β
Smaller facilities probably wonβt do much to offset the strain that terrestrial data centers are placing on the planetβs water and electricity, though. That vision of the future might take decades to come to fruition, some critics thinkβif it even gets off the ground at all.Β
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InfoQ

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Swift 6.3 Stabilizes Android SDK, Extends C Interop, and More
Swift 6.3 advances Swift cross-platform story with official Android support, improves significantly C interoperability through the new @c attribute, and continues extending embedded programming support. It also strengthens the ecosystem with a unified build system direction and gives developers more low-level performance control. By Sergio De Simone
Swift 6.3 Stabilizes Android SDK, Extends C Interop, and More
Swift 6.3 advances Swift cross-platform story with official Android support, improves significantly C interoperability through the new @c attribute, and continues extending embedded programming support. It also strengthens the ecosystem with a unified build system direction and gives developers more low-level performance control.
By Sergio De Simone-
TechCrunch
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The final days of the Tesla Model X and S are here. All bets are on the Cybercab.
It's a new era for Tesla β and one that will rely on its ability to launch the Cybercab and mass-produce the Optimus robot.
The final days of the Tesla Model X and S are here. All bets are on the Cybercab.
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TechCrunch
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Europeβs cyber agency blames hacking gangs for massive data breach and leak
CERT-EU blamed the cybercrime group TeamPCP for the recent hack on the European Commission, and said the notorious ShinyHunters gang was responsible for leaking the stolen data online.
Europeβs cyber agency blames hacking gangs for massive data breach and leak
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TechCrunch
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The Facebook insider building content moderation for the AI era
Moonbounce has raised $12 million to grow its AI control engine that converts content moderation policies into consistent, predictable AI behavior.
The Facebook insider building content moderation for the AI era
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InfoQ

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Open Source Security Tool Trivy Hit by Supply Chain Attack, Prompting Urgent Industry Response
A major security incident affecting the widely used open source vulnerability scanner Trivy has exposed critical weaknesses in software supply chain security, after maintainers confirmed that a malicious release was briefly distributed to users. By Craig Risi
Open Source Security Tool Trivy Hit by Supply Chain Attack, Prompting Urgent Industry Response
A major security incident affecting the widely used open source vulnerability scanner Trivy has exposed critical weaknesses in software supply chain security, after maintainers confirmed that a malicious release was briefly distributed to users.
By Craig Risi-
InfoQ

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Module Federation 2.0 Reaches Stable Release with Wider Support outside of Webpack
Module Federation 2.0, an open-source micro-frontend mechanism introduced with webpack 5, offers significant updates including dynamic TypeScript type hints, decoupled runtime layers, and Node.js support. It enhances compatibility across various bundlers and frameworks. Key features include a Side Effect Scanner and easier integration for remote modules, addressing previous adoption challenges. By Daniel Curtis
Module Federation 2.0 Reaches Stable Release with Wider Support outside of Webpack
Module Federation 2.0, an open-source micro-frontend mechanism introduced with webpack 5, offers significant updates including dynamic TypeScript type hints, decoupled runtime layers, and Node.js support. It enhances compatibility across various bundlers and frameworks. Key features include a Side Effect Scanner and easier integration for remote modules, addressing previous adoption challenges.
By Daniel Curtis-
InfoQ

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Presentation: Panel: Taking Architecture Out of the Echo Chamber
Andrew Harmel-Law and a panel of expert architects discuss the shifting practice of architecture in 2025. They explain strategies for communicating technical debt to stakeholders, the benefits of decentralized decision-making through ADRs, and the career paths of modern leaders. The panel shares insights on bridging the gap between mobile and backend teams to ensure a holistic system. By Andrew Harmel-Law, Cat Morris, Diana Montalion, Shana Dacres-Lawrence, Vanessa Formicola, Elena Stojmilova, P
Presentation: Panel: Taking Architecture Out of the Echo Chamber
Andrew Harmel-Law and a panel of expert architects discuss the shifting practice of architecture in 2025. They explain strategies for communicating technical debt to stakeholders, the benefits of decentralized decision-making through ADRs, and the career paths of modern leaders. The panel shares insights on bridging the gap between mobile and backend teams to ensure a holistic system.
By Andrew Harmel-Law, Cat Morris, Diana Montalion, Shana Dacres-Lawrence, Vanessa Formicola, Elena Stojmilova, Peter Hunter-
InfoQ

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Article: Replacing Database Sequences at Scale Without Breaking 100+ Services
The article discusses the challenges faced during a migration from a relational database to NoSQL, focusing on the importance of database sequences for unique identifiers. It outlines the development of a new sequence service using DynamoDB and a two-tier caching architecture. By Saumya Tyagi
Article: Replacing Database Sequences at Scale Without Breaking 100+ Services
The article discusses the challenges faced during a migration from a relational database to NoSQL, focusing on the importance of database sequences for unique identifiers. It outlines the development of a new sequence service using DynamoDB and a two-tier caching architecture.
By Saumya Tyagi-
cs.AI, q-bio.NC updates on arXiv.org
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Runtime Burden Allocation for Structured LLM Routing in Agentic Expert Systems: A Full-Factorial Cross-Backend Methodology
arXiv:2604.01235v1 Announce Type: new Abstract: Structured LLM routing is often treated as a prompt-engineering problem. We argue that it is, more fundamentally, a systems-level burden-allocation problem. As large language models (LLMs) become core control components in agentic AI systems, reliable structured routing must balance correctness, latency, and implementation cost under real deployment constraints. We show that this balance is shaped not only by prompts or schemas, but also by how st
Runtime Burden Allocation for Structured LLM Routing in Agentic Expert Systems: A Full-Factorial Cross-Backend Methodology
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cs.AI, q-bio.NC updates on arXiv.org
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Parallelized Hierarchical Connectome: A Spatiotemporal Recurrent Framework for Spiking State-Space Models
arXiv:2604.01295v1 Announce Type: new Abstract: This work presents the Parallelized Hierarchical Connectome (PHC), a general framework that upgrades temporal-only State-Space Models (SSMs) into spatiotemporal recurrent networks. Conventional SSMs achieve high-speed sequence processing through parallel scans, yet are limited to temporal recurrence without lateral or feedback interactions within a single timestep. PHC maps the diagonal SSM core to a shared Neuron Layer and inter-neuronal communic
Parallelized Hierarchical Connectome: A Spatiotemporal Recurrent Framework for Spiking State-Space Models
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cs.AI, q-bio.NC updates on arXiv.org
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The Digital Twin Counterfactual Framework: A Validation Architecture for Simulated Potential Outcomes
arXiv:2604.01325v1 Announce Type: new Abstract: The fundamental problem of causal inference - that the counterfactual outcome for any individual is never observed - has shaped the entire methodology of the field. Every existing approach substitutes assumptions for missing data: ignorability, parallel trends, exclusion restrictions. None produces the counterfactual itself. This paper proposes the Digital Twin Counterfactual Framework (DTCF): rather than estimating the counterfactual statisticall
The Digital Twin Counterfactual Framework: A Validation Architecture for Simulated Potential Outcomes
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cs.AI, q-bio.NC updates on arXiv.org
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IDEA2: Expert-in-the-loop competency question elicitation for collaborative ontology engineering
arXiv:2604.01344v1 Announce Type: new Abstract: Competency question (CQ) elicitation represents a critical but resource-intensive bottleneck in ontology engineering. This foundational phase is often hampered by the communication gap between domain experts, who possess the necessary knowledge, and ontology engineers, who formalise it. This paper introduces IDEA2, a novel, semi-automated workflow that integrates Large Language Models (LLMs) within a collaborative, expert-in-the-loop process to ad
IDEA2: Expert-in-the-loop competency question elicitation for collaborative ontology engineering
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cs.AI, q-bio.NC updates on arXiv.org
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Semantic Modeling for World-Centered Architectures
arXiv:2604.01359v1 Announce Type: new Abstract: We introduce world-centered multi-agent systems (WMAS) as an alternative to traditional agent-centered architectures, arguing that structured domains such as enterprises and institutional systems require a shared, explicit world representation to ensure semantic consistency, explainability, and long-term stability. We classify worlds along dimensions including ontological explicitness, normativity, etc. In WMAS, learning and coordination operate o