AI News Archive: June 22, 2026 — Part 3
Sourced from 500+ daily AI sources, scored by relevance.
- Sakana AI's Fugu orchestrates multiple LLMs to match Anthropic's Fable and Mythos benchmarks
Japanese AI startup Sakana AI is launching Fugu, a system that coordinates multiple AI models on the fly to compete with leaders like Anthropic's Fable 5. The approach also aims to cut dependence on any single AI provider. The article Sakana AI's Fugu orchestrates multiple LLMs to match Anthropic's Fable and Mythos benchmarks appeared first on The Decoder .
- Norway to sharply restrict AI use in schools, bring back more books in classrooms
Norway will impose strict limits on the use of generative AI in schools starting in the new academic year in… The post Norway to sharply restrict AI use in schools, bring back more books in classrooms appeared first on MEDIANAMA .
Score: 72🌐 MovesJun 22, 2026https://www.medianama.com/2026/06/223-norway-restrict-ai-use-schools-bring-back-books-classrooms/ - EXCLUSIVE Indonesia plans to embed AI in key programmes, including $15 billion free-meal drive, document shows
EXCLUSIVE Indonesia plans to embed AI in key programmes, including $15 billion free-meal drive, document shows Reuters
- Tencent tests AI assistant in China's most popular app as it looks to catch up with rivals
WeChat is an indispensable part of daily life in China and Tencent is trying to tap into its huge user base to expand use of its AI services.
- China's push for green power use in AI projects faces hurdles, experts say
China's push for green power use in AI projects faces hurdles, experts say Reuters
- Why AI's energy future depends on power from space
New approaches to energy supply aim to harness continuous solar energy from space. This could help to meet AI-driven demand with existing infrastructure.
- Big Tech has split into two artificial-intelligence camps — but the smart money isn’t chasing the next OpenAI
Why tech giants such as Alphabet and Microsoft are the safer choice in the AI race.
- Santander saves £430M with AI
Santander uses AI to protect 7,000 Langflow servers from active attacks, saving £430M.
- Tool-Assisted LLM Targets RTL Code Generation (UC Riverside, Futurewei)
Researchers from University of California, Riverside and Futurewei published a technical paper titled “LLM4RTL: Tool-Assisted LLM for RTL Generation.” Abstract: “Large language models (LLMs) have facilitated impressive progress in software engineering, code generation, tooling, and systems. Concurrently, a significant body of research has developed which explores a growing variety of methods and systems for applying... » read more The post Tool-Assisted LLM Targets RTL Code Generation (UC Riverside, Futurewei) appeared first on Semiconductor Engineering .
Score: 71🌐 MovesJun 22, 2026https://semiengineering.com/tool-assisted-llm-targets-rtl-code-generation-uc-riverside-futurewei/ - Alphabet Stock Tumbles as DeepMind Loses Nobel Prize Winner to Anthropic
Alphabet Stock Tumbles as DeepMind Loses Nobel Prize Winner to Anthropic Barron's
Score: 71🌐 MovesJun 22, 2026https://www.barrons.com/articles/alphabet-stock-jumper-deepmind-anthropic-3242f738?mod - SPARC AI Registered as AUKUS Authorised User, Opening Pathway to US and UK Defence Markets
SPARC AI Registered as AUKUS Authorised User, Opening Pathway to US and UK Defence Markets Toronto Star
- NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory
Mission, Vision and Veritas — new Los Alamos National Laboratory (LANL) supercomputers to be built with HPE and NVIDIA — are tapping NVIDIA Vera CPUs to accelerate scientific discovery, unlocking agentic AI for science. The supercomputers will use the HPE Cray Supercomputing GX5000 architecture with the NVIDIA Vera Rubin platform, combining NVIDIA Vera CPUs, NVIDIA […]
Score: 71🌐 MovesJun 22, 2026https://blogs.nvidia.com/blog/nvidia-vera-cpu-los-alamos-national-laboratory/ - Chinese universities are cutting language majors to make way for AI
Universities are dropping programs in translation and foreign languages while adding degrees in embodied intelligence, AI, and robotics.
- Nvidia says AI's water challenge is largely solved
A top Nvidia executive says water concerns surrounding data centers could be largely addressed by the company's next generation of AI infrastructure. Why it matters: It's a bold claim with high stakes by the world's dominant chip maker . Data centers are facing growing scrutiny for their use of energy and water, and Nvidia's chips are helping drive the AI boom behind much of that demand. Driving the news: Nvidia announced Monday at London Climate Week that its latest AI system can be fully cooled with liquid warm enough to reduce the need for additional chilling equipment. "The water consumption challenge for data centers is largely solved," said Josh Parker, Nvidia's chief sustainability officer, in an interview last week ahead of his trip to London. The big picture : Nvidia's announcement comes on the heels of Google and Amazon defending their data center water practices amid growing local opposition to AI infrastructure. Tech companies are increasingly arguing that efficiency gains will blunt the environmental impacts of the AI buildout. Between the lines : Nvidia's latest claim goes further, suggesting that next-generation AI systems could change the underlying cooling equation altogether. How it works: Nvidia's coolant — a recirculated liquid mixture that includes water and propylene glycol, similar to automotive antifreeze — can run at 113 degrees Fahrenheit. Because the liquid can operate at higher temperatures than previous systems, data centers may be able to rely less on chilling equipment that uses large amounts of energy or water — or even eliminate it altogether. What they're saying : "It would be a big deal for everybody if we got all of the chips to do that," said Steve Solomon, Microsoft's vice president of data center engineering, who was asked about the potential before learning of Nvidia's announcement. Solomon said it could eliminate the need for any type of mechanical chiller in most climates most of the time — even in hot places such as Arizona. Reality check : Even if Nvidia's technology dramatically reduces cooling-related water use, that doesn't mean water concerns disappear entirely. The new systems would take years to spread across the industry, and many existing data centers will continue operating older cooling technologies. Nvidia declined to discuss the costs of its systems, and the pace of adoption may also depend on the economics of facilities designed for fully liquid-cooled AI infrastructure (though Nvidia says it'll save data center operators money on cooling costs). Zoom out : Water use inside a data center is only one piece of a broader debate. Producing the electricity needed to run AI infrastructure can also require significant amounts of water, depending on the power source. What's next: Nvidia's technology could make each unit of AI computing far more efficient, but the company is also explicit that those gains are meant to support more growth. "AI workloads are not getting lighter," Parker wrote in a blog post. Without efficiency improvements, he argues, the energy needed to run AI would continue rising alongside demand. What we're watching : Efficiency gains may reduce the water and energy needed for each AI system. Those same gains could also accelerate the buildout of AI infrastructure and increase the industry's overall footprint.
- How OpenAI’s Web of Business Relationships Could Complicate Its IPO
How OpenAI’s Web of Business Relationships Could Complicate Its IPO The Information
Score: 70🌐 MovesJun 22, 2026https://www.theinformation.com/articles/openais-light-balance-sheet-face-hard-look-ipo - Three ways Trump could get a stake in AI firms for the US
Three ways Trump could get a stake in AI firms for the US Reuters
Score: 70🌐 MovesJun 22, 2026https://www.reuters.com/legal/transactional/three-ways-trump-could-get-stake-ai-firms-us-2026-06-22/ - US curbs on AI spur European firms to spread the risk
US curbs on AI spur European firms to spread the risk Reuters
Score: 70🌐 MovesJun 22, 2026https://www.reuters.com/legal/litigation/us-curbs-ai-spur-european-firms-spread-risk-2026-06-22/ - No Claude Fable 5? No problem: Sakana achieves frontier performance with new Fugu multi-model, auto synthesis system
Last night, the increasingly enterprise-focused AI startup Sakana launched Fugu , a multi-agent orchestration system that delivers frontier-level AI performance through a single, OpenAI-compatible API. Designed for developers, enterprises, and nations seeking resilience against vendor lock-in and geopolitical export controls, Fugu (Japanese for "pufferfish"), bypasses the traditional monolithic model structure by dynamically routing queries to a swappable pool of specialized AI agents. Sakana CEO and co-founder David Ha, formerly of Google Brain, positioned Fugu as a more reliable option for enterprise workflows than any single AI model provider in the wake of Anthropic's move on June 12 to revoke public access to its most powerful models, Claude Mythos 5 and Claude Fable 5, in the wake of a U.S. government export control order. As Ha wrote in a post today on X: "Fugu dynamically orchestrates the world’s best models to tackle complex tasks. We are proving that a well-orchestrated pool of swappable agents can match restricted frontier models like Fable and Mythos. But Fugu is about more than just performance. I believe that Orchestration Models are the next frontier, beyond bigger models. Relying on a single company’s model for national infrastructure is a massive risk. As recent export controls have shown, access to top models can disappear overnight. Collective intelligence is the practical hedge against this concentration of power. Fugu simply routes around vendor restrictions by relying on an entirely swappable agent pool." Sakana AI explicitly states that the specific models Fugu selects and how it coordinates them are proprietary, meaning this routing information is hidden from the user by design. The documentation only refers generally to a "diverse pool of powerful models," "multiple LLMs," or "specialized models" without providing a specific count. By acting as a sophisticated coordinator rather than a standalone foundation model, Fugu matches the output quality of top-tier models like Fable and Mythos on third-party benchmarks of agentic tasks, while fundamentally altering how developers deploy critical AI infrastructure. How Sakana Fugu works and where it beats Anthropic's Claude Fable 5 At its core, Sakana Fugu operates like a master general contractor. When presented with a complex request, Fugu does not attempt to execute every step itself. Instead, it breaks the problem down, delegates sub-tasks to a pool of expert foundation models, verifies their work, and synthesizes the final output. "Fugu is itself an LLM, trained to call various LLMs in an agent pool, including instances of itself recursively," the Sakana AI team noted in their technical release. Grounded in two of Sakana's 2026 research papers, TRINITY and the Conductor , the system autonomously manages the entire lifecycle of model selection and verification using learned coordination strategies rather than hand-designed workflows. To the end user, this multi-agent swarm is entirely abstracted behind a standard API endpoint. Sakana AI is offering two variants of the system to cater to different operational workloads: Fugu: A high-speed, low-latency model optimized for everyday tasks. It is designed to act as the default engine for interactive chatbots and integrates directly into coding environments like Codex. Fugu Ultra: The flagship tier engineered for complex, high-stakes tasks such as AI research, cybersecurity analysis, and multi-step patent investigations. According to Sakana, Fugu Ultra coordinates a deeper pool of experts and matches industry-leading monolithic models across rigorous scientific and reasoning benchmarks. Additionally, on the pay-as-you-go plan, standard Fugu charges a dynamic rate based on the specific underlying models activated, whereas Fugu Ultra utilizes a fixed pricing structure starting at $5 per million input tokens and $30 per million output tokens. As indicated by benchmark charts shared by Sakana, Fugu actually exceeds the performance of Anthropic's Claude Fable 5 on LiveCodeBench , an open source benchmark testing coding performance on regularly refreshed, software problem-solving tasks (Fugu Ultra: 93.2, Fugu: 92.9, Fable: 89.8), and beats the prior Claude Mythos Preview model on GPQA-D (Diamond) , a test of 198 graduate-level multiple-choice questions in biology, physics, and chemistry (Fugu Ultra: 95.5, Fugu: 95.5, Mythos Preview: 94.6). By orchestrating multiple models from different providers, Fugu essentially builds native redundancy into the AI stack. If one provider suffers an outage or faces sudden regulatory restrictions, Fugu routes around the disruption to maintain uptime. Licensing and availability Fugu is offered as a commercial, proprietary API service, not an open-source framework. Because Sakana’s core intellectual property lies in its non-obvious collaboration patterns, the specific routing information—meaning exactly which underlying models Fugu selects for a given query—remains proprietary and is intentionally hidden from the user. However, Sakana offers critical controls for enterprise data compliance. Developers can explicitly opt specific models or providers out of their Fugu routing pool to maintain strict corporate privacy standards. Additionally, users can opt out of having their prompts used for future training data. Geographically, Fugu is restricted from operating within the European Union (EU) and European Economic Area (EEA) while Sakana works to align its black-box data routing architecture with GDPR regulations. Pricing is fairly steep Fugu is available immediately in most regions—with the temporary exception of the EU and EEA—at subscription tiers and pay-as-you-go pricing. Teams can opt for monthly subscription allowances designed for individual or hands-on use: a Standard tier at $20/month for lightweight workflows, a Pro tier at $100/month providing 10x standard usage, and a Max tier at $200/month offering 20x usage for continuous, long-running tasks. I wasn't able to find the actual amount of tokens covered under these plans, but I've reached out to Ha on X for more information. As part of the initial rollout, Sakana is offering a free second month for users who subscribe to any tier by July 31, 2026. For enterprise scaling and production deployments, Sakana offers an elastic pay-as-you-go plan. Crucially for high-stakes environments, requests made under this consumption-based model are served at a higher priority than those from monthly subscription plans. Under this framework, the standard Fugu engine charges the single rate of the highest-tier underlying model involved in a query, without ever stacking multi-agent fees. The flagship Fugu Ultra tier (fugu-ultra-20260615) utilizes a fixed pricing structure per one million tokens: $5 for input, $30 for output, and $0.50 for cached input. These rates increase to $10, $45, and $1.00 respectively for extreme workloads utilizing context windows above 272K tokens. That puts it among the more expensive options compared to single AI models via provider APIs: VentureBeat Frontier AI Model API Pricing Snapshot Model Input Output Total Cost Source MiMo-V2.5 Flash $0.10 $0.30 $0.40 Xiaomi MiMo deepseek-v4-flash $0.14 $0.28 $0.42 DeepSeek deepseek-v4-pro $0.435 $0.87 $1.305 DeepSeek MiniMax-M3 $0.30 $1.20 $1.50 MiniMax Gemini 3.1 Flash-Lite $0.25 $1.50 $1.75 Google Qwen3.7-Plus $0.40 $1.60 $2.00 Alibaba Cloud MiMo-V2.5 $0.40 $2.00 $2.40 Xiaomi MiMo Grok 4.3 (low context) $1.25 $2.50 $3.75 xAI MiMo-V2.5 Pro (≤256K) $1.00 $3.00 $4.00 Xiaomi MiMo Kimi-K2.6 $0.95 $4.00 $4.95 Moonshot GLM-5.2 $1.40 $4.40 $5.80 Z.ai Grok 4.3 (high context) $2.50 $5.00 $7.50 xAI MiMo-V2.5 Pro (>256K) $2.00 $6.00 $8.00 Xiaomi MiMo Qwen3.7-Max $2.50 $7.50 $10.00 Alibaba Cloud Gemini 3.5 Flash $1.50 $9.00 $10.50 Google Gemini 3.1 Pro Preview (≤200K) $2.00 $12.00 $14.00 Google GPT-5.4 $2.50 $15.00 $17.50 OpenAI Gemini 3.1 Pro Preview (>200K) $4.00 $18.00 $22.00 Google Claude Opus 4.8 $5.00 $25.00 $30.00 Anthropic GPT-5.5 $5.00 $30.00 $35.00 OpenAI Sakana Fugu Ultra $5.00 $30.00 $35.00 Sakana AI Claude Fable 5 / Claude Mythos 5 $10.00 $50.00 $60.00 Anthropic Developers modeling operational costs should also note a significant architectural caveat in how Fugu bills for its multi-agent capabilities. According to the developer documentation, Fugu Ultra’s API responses include detailed usage fields that separate user-visible token generation from internal orchestration work. The background tokens consumed and generated when Fugu delegates sub-tasks, verifies code, or routes between underlying agents are not absorbed by the provider; they represent real token usage and are counted toward the final price of the request at standard rates. The Orchestration landscape: Fugu vs. The Field and notable benchmark performance To understand Fugu’s position in the mid-2026 AI ecosystem, it is critical to distinguish between model routing and multi-agent orchestration . Over the past year, enterprise adoption of standard routing platforms—such as Not Diamond, Martian, and the open-source RouteLLM framework—has skyrocketed. These systems act as intelligent air traffic controllers; using semantic classifiers or meta-models, they analyze an incoming prompt and predict which single foundation model will yield the highest quality or most cost-effective response, dispatching the query accordingly. Fugu operates on a fundamentally different paradigm. Rather than making a one-shot routing decision, Fugu aligns more closely with complex multi-round systems like Router-R1 (a framework introduced at NeurIPS 2025). It breaks a query down, interleaves reasoning with delegation, and dynamically assigns sub-tasks to multiple models in parallel or sequence before synthesizing a final output. While frameworks like LangGraph, CrewAI, and Microsoft AutoGen offer developers the tools to build similar multi-agent systems, they require immense manual configuration—defining roles, setting up conditional edges, and managing state across long-running loops. Fugu abstracts this operational overhead entirely. It is essentially a LangGraph-style workflow packaged as a single, black-box API endpoint. An orchestration system is ultimately bounded by the raw capabilities of the underlying models in its pool, a reality reflected in Sakana’s own benchmark testing against standalone frontier models. On rigorous coding and agentic tasks, collective intelligence shows a distinct advantage over standard models. Fugu Ultra posted a 73.7 on SWE-Bench Pro , significantly outperforming Anthropic's Claude Opus 4.8 (69.2) and OpenAI's GPT-5.5 (58.6). However, Fugu is not a silver bullet, and its performance is not a clean sweep across the board. When compared to highly specialized or restricted-access monolithic models, Fugu occasionally trails: SWE-Bench Pro: While Fugu Ultra (73.7) beat most accessible models, it was comfortably eclipsed by Anthropic’s limited-access Fable 5 (80.0), which is currently absent from Fugu's swappable pool due to the U.S. government's export control order and Anthropic's subsequent response to remove the model entirely from global usage. Humanity's Last Exam: Fugu Ultra (50.0) narrowly edged out Opus 4.8 (49.8), but again fell short of Fable 5 (53.3). Long-Context and Security: On the MRCRv2 long-context-recall test, OpenAI's GPT-5.5 maintained the lead (94.8 vs Fugu Ultra's 93.6), and Opus 4.8 remained the top performer on the CTI-REALM cybersecurity benchmark (69.6 vs Fugu Ultra's 69.4). The quantitative data points to a clear conclusion: Fugu is highly effective at boosting performance on messy, multi-step tasks (like writing a complex HTML5 game from scratch) by leaning on the combined strengths of multiple mid-tier and high-tier models. However, for sheer brute-force reasoning within a single, highly constrained domain, the industry's largest standalone models still hold the edge—provided an enterprise can maintain uninterrupted access to them. Background on Sakana's formation and noteworthy achievements to date Sakana AI was formed in Tokyo in 2023 by Llion Jones, a co-author of Google’s foundational 2017 "Attention Is All You Need" paper, and David Ha, the former head of research at Stability AI. Disillusioned by large tech company bureaucracy and the industry's hyper-fixation on scaling single, massive foundational models, the founders built Sakana around principles of biomimicry and evolutionary computing. The company's name, derived from the Japanese word for fish, reflects its core technical thesis: utilizing collective "swarm" intelligence rather than brute-force compute. Following a $2.6 billion Series B valuation in late 2025 and the recent June 2026 launch of Marlin —an autonomous, eight-hour research agent for the B2B sector—Fugu represents the commercialization of Sakana's multi-agent routing technology for everyday developers. A mixed reception among the broader AI community online The developer community has responded to Fugu by rigorously testing its practical tradeoffs, weighing its routing efficiencies against the sheer power of monolithic foundation models. AI observer, developer and influencer Chris (@ChrissGPT on X) highlighted the specific utility of Fugu over raw foundational AI. "For a single clean prompt, you probably would [use Fable 5, Mythos, or GPT-5.5 directly]," he noted, but argued that Fugu's true value emerges in messy, multi-step environments. "...whether it involves delegation, verification, synthesis, code review, research loops, security analysis... the more it would make sense to use this," he wrote. Chris also pointed out the strategic geopolitical advantage of Fugu's architecture, noting that if frontier AI access is abruptly revoked due to regulation or export controls, an orchestrator can dynamically swap models to prevent a total system failure. Creative agency owner Mark Santos (@markksantos) of Mark Studios provided a direct, real-world comparison by tasking both Fugu Ultra and Claude Opus 4.8 with building a "Crossy Road" game clone using Three.js. The results underscored the operational differences between an orchestrator and a monolithic giant: Sakana Fugu Ultra: Completed the task in 22 minutes using ~89,000 tokens for roughly $7.32. However, the final game suffered from minor logic errors, such as inverted directional turns and wonky camera angles. Claude Opus 4.8: Took 79 minutes, burned ~940,000 tokens for nearly $37.85, and got stuck in a retry loop requiring human intervention. Despite the inefficiency, it ultimately produced superior application design and functionality. Santos concluded the experiment by stating, "In terms of application functionality, quality, and design, Opus won. In terms of model speed and performance, Fugu... won". Elie Bakouch, a research engineer at cloud-based, open AI infrastructure and systems provider Prime Intellect , pointed out on X that "to be clear, this is a closed source orchestrator on top of closed source models. if before you didn't control the models, now you don't even control which ones are used or how much. this is not 'AI sovereignty'..." These early tests and reactions mirror the sentiment summarized by Reddit user GreedyWorking1499 in initial platform discussions: " Until proven otherwise, this is just a highly advanced router/wrapper, not a fundamental not a fundamental leap in intelligence like Mythos/Fable was. " Yet, as enterprises increasingly demand fail-safes against single-vendor reliance, Sakana is proving that packaging collective intelligence into a single API endpoint is a highly viable commercial path.
- Nvidia wants to cut data center water use, but that’s not the same as fixing AI’s water problem
Nvidia announced a new cooling system that cuts water use inside the data center. But it does nothing to address AI's biggest water use — fossil fuel power plants.
- What is GLM-5.2, China’s latest open-weight AI model turning heads in Silicon Valley?
What is GLM-5.2, China’s latest open-weight AI model turning heads in Silicon Valley?
- Zurich to Get Robotaxis
Robotaxis are being trialled mostly in the US, China, and a few specific niche places like the UAE and Singapore. Europe has been much slower to jump into robotaxi trials. But it’s edging into them now, and we have an announcement about the first robotaxi service launching in Switzerland — ... [continued] The post Zurich to Get Robotaxis appeared first on CleanTechnica .
- Nvidia says its new data center design will fix AI’s water problem
Nvidia says its new data center design will fix AI’s water problem Fortune
Score: 70🌐 MovesJun 22, 2026https://fortune.com/2026/06/22/nvidia-new-data-center-design-ai-water-problem-cooling/ - Automation vs autonomy: What will shape the future of battlefield drones?
Automation vs autonomy: What will shape the future of battlefield drones? Breaking Defense
Score: 70🌐 MovesJun 22, 2026https://breakingdefense.com/2026/06/automation-vs-autonomy-what-will-shape-the-future-of-battlefield-drones/ - From opaque to accountable: How X-SHIELD Is rewriting the rules of explainable AI
From opaque to accountable: How X-SHIELD Is rewriting the rules of explainable AI EurekAlert!
- Nvidia grows quantum partnerships in Boston, adds Harvard spinout
In recent months, Nvidia has inked deals with Commonwealth Fusion Systems to create a twin of CFS' fusion demonstration facility; with PTC to accelerate robotic design testing; and with Qblox to improve communication between classical and quantum processors.
Score: 70🌐 MovesJun 22, 2026https://www.bizjournals.com/boston/news/2026/06/22/nvidia-zapata-quantum-partnership.html?ana=brss_6150 - New York City House primary emerges as key battleground in ‘AI civil war’
AI-focused Super Pacs are spending heavily in the midterms, and half has gone to a single Manhattan congressional race The artificial intelligence industry is spending heavily in the 2026 midterms, hoping to secure influence over the technology’s first generation of legislation – and New York City’s primary has emerged as the key battleground. AI-focused Super Pacs have raised over $100m this cycle, of which $49m has been spent so far, in dozens of congressional races across the country. Half of all spending has converged on a single Manhattan race: Tuesday’s Democratic primary in the district of NY-12. Will Craft and Andrew Witherspoon contributed reporting Continue reading...
Score: 70🌐 MovesJun 22, 2026https://www.theguardian.com/us-news/2026/jun/22/new-york-city-house-primary-race - Nvidia says its AI data center design runs hotter to use a lot less water
Public pushback against data centers has emphasized their water and energy consumption, and now Nvidia is highlighting its claim that the Rubin generation reference design for a fully liquid-cooled data center has "eliminated massive amounts of power usage and pretty much all water usage." Still, it doesn't address all of the concerns around AI data […]
Score: 70🌐 MovesJun 22, 2026https://www.theverge.com/tech/954139/nvidia-data-centers-rubin-liquid-cooling - Google preps Pixel ‘Audio Memory’ that ambiently tracks your ‘important conversations,’ like AI notetaker pins
Google is working on a new feature called “Audio Memory” for Pixel phones that will “keep track of what you hear throughout your day.”
- OpenAI: Yoo-hoo, look over here, we do that security stuff too!
A plethora of pwn-prevention, including a 'Patch The Planet' pledge
- AI gets a body: why Robotics 2.0 starts now
Explores how robotics is evolving with AI integration, marking a new era in autonomous systems.
- Intrinsic unveils next-gen accessible modular automated industrial AI robotic assembly
Intrinsic, Google LLC’s artificial intelligence robot software company, unveiled today during Automate 2026 an AI robotic prototype that will help companies modularize factory floors with automated robotics. Automate is North America’s largest robotics and automation trade show, hosted by the Association for Advancing Automation. It’s possibly the best place to showcase something like what Intrinsic […] The post Intrinsic unveils next-gen accessible modular automated industrial AI robotic assembly appeared first on SiliconANGLE .
- Rewriting the mobile playbook for the AI era
Rewriting the mobile playbook for the AI era Qualcomm
- Shield AI completes acquisition of Aechelon Technology
SAN DIEGO (June 22, 2026) — Shield AI, the defense technology company building the world’s best AI pilots and next-generation aircraft, today announced the completion of its acquisition of Aechelon Technology, Inc, a leader in high-fidelity simulation, physics-based sensor modeling, and synthetic reality technologies. The transaction follows the successful close of Shield AI’s $2 billion strategic financing […]
Score: 70💰 MoneyJun 22, 2026https://shield.ai/shield-ai-completes-acquisition-of-aechelon-technology/ - Bit Tech Giants Announce Protocols to Find, Verify Tools, Skills and Agents Across the Internet
The best way to fly under the radar is to smudge out a major announcement by timing it for a heavy news day, especially if you happen to be the original Big Tech giants. And that’s precisely what the tech giants did by announcing support to an AI backend-software protocol that could have an impact […] The post Bit Tech Giants Announce Protocols to Find, Verify Tools, Skills and Agents Across the Internet appeared first on CXOToday.com .
- Anthropic’s new privacy policy collects biometric data from flagged Claude users
Anthropic has updated its privacy policy to allow the company to require some Claude users to upload government-issued identification and submit selfie photos or videos for identity verification. The updated policy, which takes effect on July 8, introduces a new category of personal data collection that includes facial geometry templates, a data type that may […] This story continues at The Next Web
Score: 70🌐 MovesJun 22, 2026https://thenextweb.com/news/anthropic-claude-id-verification-privacy-policy-persona-biometric - Ericsson and unveils national 5G, 6G, AI test centre in Sweden
Following Finland’s University of Oulu and the KTH Royal Institute of Technology in Stokholm launch of a joint 6G resilience programme, fellow Nordic institution Ericsson – in partnership with operator Telia and other partners – has given 6G development a further boost with a national connectivity and next-generation test centre in Sweden. Backed by an initial investment of more than SEK 300m, the national test centre Digital Arena Sweden has the fundamental aim of strengthening Swedish industry by providing early access to advanced digital solutions in 5G, 6G and artificial intelligence (AI). Digital Arena Sweden aims to empower enterprises by harnessing connectivity and AI to innovate safely and securely, accelerating the path from concept to commercial deployment. The 6G environment builds on the Telia-Ericsson innovation programme NorthStar , which since 2023 has been providing access to advances in 5G capabilities. In addition to Ericsson and Telia, the centre is supported by Sweden’s innovation agency Vinnova through the Avancerad Digitalisering innovation programme, the collaboration brings together RISE Research Institutes of Sweden (and its subsidiary AstaZero), Future by Lund and others. Under the initiative, Ericsson will be responsible for establishing and progressing a “unique” pre-commercial 6G test environment in collaboration with Lund University and KTH Royal Institute of Technology . The test centre will look to facilitate industries, from mining and transport to defence and medtech, in exploring the potential of 6G. The insights will also feed into the global 6G standardisation process. It will attempt to establish a shared digital portal and common framework for testing, making advanced technology more accessible to the entire Swedish innovation ecosystem. Outlining what he believes the centre could achieve, Ericsson CTO Erik Ekudden noted that by creating one of the world’s first test environments for the combination of 5G, 6G and AI, several years before the technology becomes commercial, the centre would ensure that Swedish industry and research remained at the forefront. “In Sweden, we have extensive experience in driving technological leadership,” he said. “For Ericsson, this is an opportunity to define, together with our partners, how a connected society will function, where AI agents, physical AI (robotics), and autonomous systems can be developed and validated to meet the future.” Telia Sweden CEO Anders Olsson added: “Through the new test centre, we are opening up for more companies to take part in the latest 5G technology and AI, where we can meet high demands for security and sovereignty. This is a prerequisite for connecting and digitising the most critical parts of operations and products, but also where the value in terms of efficiency, customer value and societal benefit is greatest. This is how we can step up the work of both strengthening Sweden’s digital security and competitiveness.” Just before announcing the development centre, Ericsson revealed that its Private 5G solution is available through Verizon Business private wireless deployments beyond the US, enabling multinational enterprises to extend private 5G connectivity across their global operations. The rationale for the partnership is that as organisations increasingly rely on AI, automation and data-driven operations, demand is growing for secure, reliable and low-latency connectivity across international sites. Through this expanded collaboration, Ericsson asserted that Verizon Business customers can now deploy Private 5G across global campuses, supporting advanced use cases such as industrial automation, AI-powered analytics, autonomous robotics and digital twins. Read more about 6G Finland, Sweden strengthen joint 6G programme : Finnish, Swedish researchers team to make 6G communication networks more capable, robust, secure and trusted through a programme offering a foundation for stable societies. Ericsson and Telstra team up for Australian 6G development : Australian operator and global comms tech provider join forces on 6G development work spanning research, standards and real-world testing looking to pave way for the next era of advanced connectivity. European Union unveils €8m 6G smart networks security project : ‘Landmark’ project brings together 19 international partners across industry, academia and SMEs, designed to shape future European 6G network architecture. Direct-to-cell growth hits headwinds while 6G set for rapid uptake : Research predicts monthly active satcom users to reach over 130 million by 2031, but usage forecast to be lower than anticipated, while 6G services set to grow from 4.6 million in 2029 to 2.9 billion in 2035.
Score: 70🌐 MovesJun 22, 2026https://www.computerweekly.com/news/366644889/Ericsson-and-unveils-national-5G-6G-AI-test-centre-in-Sweden - Anthropic Aims to Transform Enterprise Collaboration With Artifacts
The move highlights a trend among AI labs: shifting from just providing models to offering services that make them more like cloud providers.
Score: 70🌐 MovesJun 22, 2026https://aibusiness.com/generative-ai/anthropic-aims-transform-enterprise-collaboration-artifacts - CVPR 2026 Accepts ByteDance Seed's SpatialTree: A New Framework for MLLM Spatial Intelligence
ByteDance Seed and academic partners propose SpatialTree, a hierarchical framework redefining how multimodal LLMs understand and reason about space.
- Top 30 Domestic AI Computing Chips Unveiled: Zhongcheng Hualong and XiWang Accelerate IPO Processes
The 2026 Top 30 Domestic AI Computing Chips list reveals a maturing industry with clear tier segmentation, as Zhongcheng Hualong and XiWang push toward public listings amid surging demand for domestic computing power.
- Business Brief (June 22): China Rolls Out Sweeping Plan to Boost AI-Driven Consumption
Business Brief (June 22): China Rolls Out Sweeping Plan to Boost AI-Driven Consumption Caixin Global
- Is China AI ready to match Anthropic’s Fable 5? Musk, Zhipu’s Tang clash over GLM-5.2 rise
A Chinese AI model capable of matching Anthropic’s flagship Claude Fable 5 could arrive before the end of this year, according to the founder of Zhipu AI, escalating the global frontier model race after the release of Zhipu’s GLM-5.2. The prediction emerged from a rare online exchange between Zhipu founder and chief scientist Tang Jie and US tech trillionaire Elon Musk, sparking fresh debate over the narrowing artificial intelligence gap between the US and China. On social media platform X last...
- Teachers ban it, employers demand it: New grads face a double standard around AI
Teachers ban it, employers demand it: New grads face a double standard around AI
Score: 70🌐 MovesJun 22, 2026https://www.marketwatch.com/bulletins/redirect/go?g=95e0fb35-7aa4-444e-84a9-03d866d6994b&mod=mw_rss_bulletins - AI's hidden thirst: Why India must align AI and renewable energy policy
India's AI ambitions face a critical water challenge, with data centre expansion demanding significant resources. While on-site cooling has drawn public scrutiny, the larger water footprint stems from power generation. Experts have urged a pivot towards renewable energy integration and mandatory transparency from AI providers to ensure sustainable growth and balance environmental goals with escalating compute needs.
- EU's cloud and AI development act gets mixed reception
The European Commission's goal of tripling the EU’s data centre market within five to seven years would not be possible without intrusive market engineering, and CADA does exactly that.
Score: 70🌐 MovesJun 22, 2026http://www.euronews.com/next/2026/06/22/eus-cloud-and-ai-development-act-gets-mixed-reception - Robots will replace 700,000 delivery workers ‘sooner or later’, warns JD.com boss
China’s rapid adoption of technology threatens millions of gig-economy jobs, policymakers fear
- Schneider Electric Introduces New Uniflair XCA Chiller Line, Designed to Enhance Energy Performance and Operational Stability in High-Density AI Data Centers
Schneider Electric, a global energy technology leader, today announced the...
Score: 69🌐 MovesJun 22, 2026https://techpoint.africa/brandpress/schneider-electric-introduces-new-uniflair-xca-chiller/ - MoonMath AI Open-Sources a HIP Attention Kernel for AMD MI300X That Beats AITER v3 on Every Shape and Rounding Mode
MoonMath AI Open-Sources a HIP Attention Kernel for AMD MI300X That Beats AITER v3 on Every Shape and Rounding Mode MarkTechPost
- From Materials Simulation to Experimental Astronomy, New NVIDIA AI Software Unlocks Scientific Discoveries
At the ISC conference running in Hamburg this week, NVIDIA is introducing new software that speeds AI for science, from chemistry and materials discovery to the search for dark matter. The NVIDIA DAQIRI library and new NVIDIA ALCHEMI NIM microservices — as well as the NVIDIA cuPhoton reference code, coming soon — turn work that […]
- Inspired by musical greeting cards, DARPA demands tiny, cheap, self-modifying systems
One can't help but see a very clear instance of the triple constraint problem in action here
- Tesla pushes back on Autopilot narrative after fatal Texas crash
Whether the Autopilot system was truly active, overridden, or malfunctioning likely won't be resolved until investigators finish combing through the vehicle's data logs.
Score: 68🌐 MovesJun 22, 2026https://techcrunch.com/2026/06/22/tesla-pushes-back-on-autopilot-narrative-after-fatal-texas-crash/