US private fusion company Commonwealth Fusion Systems has applied to connect its first ARC fusion power plant to PJM Interconnection, the largest US competitive wholesale electricity market. The plant is expected to start up in the early 2030s.
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A text-based survival and settlement building game. Start with nothing, explore an ancient cave and build your way to survival.

git.sr.ht is being disrupted by aggressive LLM crawlers. An aggressive botnet is scraping git.sr.ht to obtain data to train large language models. It has been able to circumvent the defenses we ordinarily deploy to mitigate these botnets, and as a consequence git.sr.ht is unstable. We have taken some aggressive measures to ensure some service remains available, but for the time being we have disabled a large number of routes for the web service to keep the load managable, which will cause disruptions to ordinary users.

A project reveals AI memory systems' shocking 95% error rate, questioning the tech's reliability. Is it time to rethink the AI revolution?

A complete technical report on extreme LLM local inference using llama.cpp, TurboQuant, and YaRN scaling on a 32GB RTX 5090.

Klarna CMO David Sandström said he's building a team of "marketing engineers" but worries about AI taking the jobs of middle-aged generalists.

All publications SHARE: Print Europe as a global standard-setter: The strategic importance of European standardisation Oct 15, 2020 DISCUSSION PAPER Photo credits: GUILLAUME SOUVANT / AFP Johan Bjerkem Policy Analyst Malcolm Harbour Senior Adviser on the Single Market SEE MORE STANDARDISATION & STANDARDS As Europe aims for greater strategic autonomy and resilience in a post-COVID-19 world, it must be a rule-maker and not a rule-taker of international rules and standards. Every European standard adopted at the international level brings a competitive advantage to European businesses. The geopolitics of new technologies and advanced manufacturing require Europe to ensure the efficient and effective functioning of its standardisation system. And as the pace of digitalisation accelerates, European standards are essential to ensuring that Europe’s digital space remains safe, secure and cyber-proof.European standards are also crucial to Europe’s market power and are a pillar of its Single Market. They are fundamental if Europe is to reach the objectives it has set for itself through its European Green Deal, Digital Strategy and New Industrial Strategy. Standards are an indispensable tool for raising product safety and environmental performance. They can drive innovation, competitiveness, sustainability and consumer protection.But while the EU legal framework and partnership structures have many world-leading qualities, the adoption of EU standards has been in decline since 2018. The slow approval of harmonised standards is weakening the coherence of the Single Market. It is also sapping the competitiveness of the EU’s digital players, where speed to market is critical. The problems holding back a competitive system must be resolved urgently. A new trusted partnership between the EU, industry and the European Standardisation Organisations should be developed. It must determine clear objectives for the timely delivery of standards, reform governance and strengthen the inclusive public-private partnership that is the engine room of standards-making. Read the full paper here. Related publications PRESS RELEASE Brussels Economic Security Forum 2026: Europe urged to diversify and build resilience Jun 05, 2026 BRUSSELS ECONOMIC SECURITY FORUM ECONOMIC SECURITY DISCUSSION PAPER Two years on: Why Europe’s far right keeps growing Jun 04, 2026 by Javier Carbonell, Tabea Schaumann, Levente Kocsis EUROPEAN PARLIAMENT (EP) FAR RIGHT POLITICAL PARTIES POLICY BRIEF Europe’s Geo-Industrial Deal: A path to securing Europe’s competitiveness abroad Jun 03, 2026 by Varg Folkman ECONOMIC SECURITY GEOECONOMIC INDUSTRIAL POLICY To the Point Economic security dilemmas differ from traditional security threats Jun 03, 2026 by Fabian Zuleeg BRUSSELS ECONOMIC SECURITY FORUM ECONOMIC SECURITY PUBLICATION The EU’s financial security in a shifting transatlantic relationship Jun 02, 2026 by Maria Demertzis BRUSSELS ECONOMIC SECURITY FORUM ECONOMIC SECURITY POLICY BRIEF Towards openness-based European preference in the pharmaceutical sector Jun 02, 2026 by Elizabeth Kuiper, Paweł Świeboda, Samuel Goodger COMPETITIVENESS ECONOMIC SECURITY By the same authors COMMENTARY Next Generation EU standards will boost post-COVID-19 recovery Jul 22, 2020 by Malcolm Harbour SINGLE MARKET PUBLICATION Fostering Europe’s Strategic Autonomy - A new Agenda for Trade and Investment Jul 02, 2020 by Johan Bjerkem TRADE COMMENTARY Europe’s hidden weapon in combatting COVID-19: The Single Market Apr 30, 2020 by Johan Bjerkem SINGLE MARKET COMMENTARY A renewed start for Europe? 4 takeaways from the EU’s New Industrial Strategy Mar 12, 2020 by Marta Pilati, Johan Bjerkem INDUSTRIAL POLICY COMMENTARY EU trade policy: Global enforcer for the European Green Deal Dec 17, 2019 by Johan Bjerkem TRADE ISSUE PAPER An Industry Action Plan for a more competitive, sustainable and strategic European Union Nov 07, 2019 by Johan Bjerkem, Marco Giuli, Marta Pilati, Claire Dhéret INDUSTRIAL POLICY

We consider the problem of generating images whose internal structure -- defined by the distribution of patches across multiple scales -- matches that of a single reference image. Recent approaches address this problem by training a diffusion model on a single image. But even in this setting, training is computationally expensive and requires hours of optimization. Instead, we model the image using a dataset of its patches at different scales. As this dataset is finite and the dimensionality of its patches is small, the score function for a noisy patch can be computed tractably using an optimal, closed-form denoiser, eliminating the need for neural network training. We integrate this patch-based denoiser into an efficient, training-free image diffusion model, and we describe how our method connects to classical patch-based image restoration techniques. Our approach achieves state-of-the-art generation quality and diversity compared to trained single-image diffusion models, and we demonstrate applications, including unconditional image generation, text-guided stylization, image symmetrization, and retargeting. Further, we show that our approach is compatible with latent space diffusion, and we show multiple additional acceleration techniques to achieve megapixel single-image generation in one second, and gigapixel generation in minutes.

@Disneyディズニー「オラフ」がAIロボットになって登場 GTC展示ホールで見せた“キャラクターAIの生命感”

自ら起き上がる“AIバイク” ヤマハ「MOTOROiD:Λ」が示す新境地 Yamaha's "MOTOROiD:Λ" AI bike that stands up on its own【ロボスタ】倒れても起き上がる異形のバイク型AIロボット「モトロイド ラムダ」、ヤマハ発が描く「AIと走り、共に育つ未来」とはht...

Another week of robotics marketing loops versus harsh field realities. In this week's breakdown, we are looking past investor decks to audit the actual friction of automating physical labor. Here is what we are covering in this episode: Figure’s 55/Week Ramp-Up: Production is accelerating, but commercial use cases are still in continuous development. Is scaling ahead of general application a massive capital gamble, or does their package-sorting livestream prove they're ready for structured work? Verobotics at NVIDIA Campus: A massive 100,000 sq ft facade deployment that ended up in a strict 60/40 operational compromise with human window washing crews because of live construction site dust. The 8.1B Parameter Bottleneck: Looking at RLWRLD’s new RLDX-1 model. Why graph optimization and real-time memory bandwidth constraints—not raw compute power—are the real bottlenecks for dexterous robotic hands. Spot's Purely Visual Blind Spots: Boston Dynamics paired Spot with DeepMind’s Gemini 1.6. What a sideways-crushed soda can proves about semantic reasoning models running without tactile force integration. FANUC x Google: Industrial giants bringing physical AI to factory floors, but keeping implementation highly conservative. submitted by /u/ButterscotchTiny1114 [link] [Kommentare]