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It’s Wednesday, August 26, 2026, and the bill for the AI decade came due in cash, silicon, and human work. Meta is writing a check of up to $16.68 billion to settle claims it designed Facebook and Instagram to hook […] The post Top Tech News Today, August 26, 2026: Amazon, Anthropic, Google, Microsoft, Waymo…
Nvidia has agreed to buy Hugging Face for $12.9 billion, a deal that would put the world’s dominant AI chipmaker in control of one of the most important distribution hubs for open AI models. The Information first reported the agreement […] The post Nvidia agrees to buy Hugging Face for $12.9 billion in major AI…
China’s Moonshot AI is negotiating with Microsoft, Amazon, and Google over deals that could put its Kimi K3 model inside America’s biggest cloud platforms, creating an unusual collision between Washington’s AI restrictions and the economics of selling AI. The Beijing-based […] The post China’s Moonshot AI in talks with Microsoft, Amazon, and Google to bring…
View CSAF Summary Successful exploitation of these vulnerabilities could allow an attacker to alter device settings. The following versions of FURUNO FA-50 Class B AIS Transponder are affected: FURUNO FA-50 Class B AIS Transponder vers:all/* CVSS Vendor Equipment Vulnerabilities v3 9.1 FURUNO ELECTRIC CO.,LTD. FURUNO FA-50 Class B AIS Transponder Use of Hard-coded Credentials, Missing…
View CSAF Summary Successful exploitation of this vulnerability could result in full Remote Code Execution (RCE) as the web server user. The following versions of Zoneminder are affected: Zoneminder 1.37.48|1.38.3 CVSS Vendor Equipment Vulnerabilities v3 8.8 Zoneminder Zoneminder Improper Neutralization of Special Elements used in an OS Command (‘OS Command Injection’) Background Critical Infrastructure Sectors:…
Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.
High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include physically based rendering (PBR) modalities such as albedo, metallic-roughness, and surface normals. We propose Luce, a 3D representation that unifies geometry and PBR materials within a voxelized multimodal Gaussian…
Supervised fine-tuning on teacher-generated trajectories is the standard first stage for distilling tool-calling capabilities into deployable models. Post-training pipelines that drive shipped tool-calling agents re-run this stage on a daily or weekly cadence, paying the frontier-teacher cost each cycle, yet the mechanism is generate-and-filter (keep the teacher’s passing trajectories, discard the rest) and each cycle…
Unified multimodal models that understand, reason over, and generate interleaved text–image sequences remain structurally fragmented: existing approaches either sacrifice visual fidelity through discrete tokenization, impose structural asymmetry by combining causal text generation with iterative diffusion-based denoising, or degrade pretrained understanding when adapting vision-language models for generation. We observe that autoregressive normalizing flows are autoregressive Transformers—sharing…
Code-switching (CS), alternating languages within the same utterance, poses significant challenges for automatic speech recognition (ASR) due to limited CS training data. This paper applies an iterative pseudo-labeling training approach to CS-ASR for the first time, demonstrating its effectiveness in leveraging unlabeled data to improve CS-ASR performance. The approach comprises three phases: pseudo-label generation, two-stage…
