Search: “project-zenith”

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Microsoft’s Project Zenith puts large AI models directly on developer PCs

Microsoft's Project Zenith delivers a ready-to-code Windows 11 experience running 30B+ parameter AI models locally on 64GB+ unified-memory PCs, starting with AMD Ryzen AI Halo.

Project Zenith is a preconfigured Windows 11 developer experience for PCs with at least 64 GB of unified memory and 250 GB/s or higher memory bandwidth, capable of running AI models with more than 30 billion parameters locally without metered cloud tokens. First systems are powered by AMD Ryzen AI Halo, with additional OEM and silicon partner devices expected in coming months. The environment ships with WSL and Linux containers, pinned developer tools, and day-one AI agent security features including OS-enforced agent identity and containment through Microsoft Execution Containers (MXC).

Help Net Security·Sep 8, 04:30 UTC · 8d agoAI industry1

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Microsoft’s Project Zenith is a ‘distraction-free Windows experience’ for developers

Microsoft branded its developer-optimized Windows setup Project Zenith, with 64GB+ memory devices from AMD that run 30B+ parameter AI models locally.

Microsoft named its developer-focused Windows configuration Project Zenith, targeting new hardware with 64GB or more of unified memory. AMD unveiled the first Project Zenith device at IFA, a miniature PC powered by Ryzen AI Halo chips, with more devices expected in the coming months. The setup ships with a preconfigured Windows install and preinstalled developer tools including Visual Studio Code, GitHub Copilot, PowerToys, WinAppCLI, and Windows Dev Skills. Microsoft says it lets developers run 30B+ parameter models locally and unmetered, reducing reliance on metered cloud tokens.

The Verge · AI·Sep 4, 10:44 UTC · 12d agoAI industry1

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To See a World in a Living Context: Unified Indoor-Outdoor Urban World Generation

Researchers introduce HoloWorld, a unified text-driven framework generating coherent indoor-outdoor 3D urban worlds, improving average AQS over SOTA by 7.68%.

HoloWorld is a text-driven 3D generation framework that unifies indoor and outdoor urban world generation using a continuously updated cross-scale world context. It autoregressively generates urban exteriors with consistent spatial organization, grounded in 3D building instances and footprints, then produces building-specific interiors with geometry-constrained layouts that inherit exterior appearance. The authors claim it is the first framework to unify indoor and outdoor generation within one coherent 3D urban world, reporting a 7.68% average AQS improvement over prior SOTA and the highest average RDR score.

Hugging Face daily papers·Aug 28, 20:00 UTC · 18d agoAI research

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Kaininja: Extending Native 3D Generators to the Part Level

KaiNinja extends TRELLIS.2 native 3D generation to part-level assets via a dual-volume O-Voxel representation, cutting whole-object Chamfer distance by 40%.

KaiNinja extends the TRELLIS.2 native 3D generator to produce part-level assets instead of one fused mesh, enabling downstream editing, rigging, and simulation. A dual-volume form of the O-Voxel representation solves the problem that a single volume cannot represent interfaces where two parts touch. The model needs no segmentation network, is partly trained on LLM-agent-authored part data, lowers whole-object Chamfer distance by 40%, and raises strict part F-score by 16% versus other part-generation pipelines.

Hugging Face daily papers·Sep 13, 20:00 UTC · 2d agoAI research

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Mistral raises €3B

Mistral raised a Samsung-led €3B Series D at a €21B+ valuation — the largest European tech equity round — to scale compute and frontier AI research.

Mistral announced a €3 billion Series D at a post-money valuation above €21 billion, the largest equity round ever by a European technology company. Samsung Electronics led the round, with co-leads Scaleup Europe Fund (managed by EQT) and PSG Equity; new investors include Advent, BlackRock, and the Grand Duchy of Luxembourg. The company operates across 20 countries, serves 125+ enterprises including Airbus, ASML, and HSBC, and says funds will expand frontier research, compute capacity, and international growth.

Hacker News · AI·Sep 8, 05:06 UTC · 8d agoAI industryHN 648↑ · 468 comments

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Gemini Omni 1.1 Flash lets you build with more control

Google DeepMind released Gemini Omni 1.1 Flash, an updated model giving developers more control when building applications.

Google DeepMind announced Gemini Omni 1.1 Flash in a blog post titled 'Gemini Omni 1.1 Flash lets you build with more control.' The update targets developers building on Gemini, emphasizing greater control over model behavior. No article text was available, so technical details such as benchmarks, context window, or pricing are unknown.

Google DeepMind·Aug 27, 16:11 UTC · 19d agoModel release

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Edge infrastructure under siege: what two independent datasets reveal about who's exploiting your perimeter

Joint Tenable-SentinelOne analysis of 93 CVE-actor attribution pairs shows nation-state and criminal groups independently converge on the same edge infrastructure.

Tenable and SentinelOne jointly analyzed 93 CVE-actor attribution pairs covering exploitation of perimeter devices. The data shows state-sponsored and financially motivated actors independently target the same edge products from Ivanti, Fortinet, and Palo Alto Networks. The findings challenge the narrative that edge exploitation is exclusively a China-nexus nation-state problem, showing a broader shared attack surface.

Tenable Blog·Aug 26, 13:00 UTC · 21d agoThreat actor in the wild

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Mythos Vulnerability Firehose Hits a Human Bottleneck

Analysis of Project Glasswing findings shows only a fraction of discovered vulnerabilities have reached disclosure and even fewer are fixed.

Dark Reading reports that an analysis of Project Glasswing findings shows only a fraction of the vulnerabilities discovered by the program have reached disclosure, and an even smaller number have been fixed. The article examines how the volume of findings from the discovery program is bottlenecked by limited human triage and remediation capacity. The piece highlights growing tension between high-volume vulnerability discovery and the industry's ability to process, disclose and patch reports.

Dark Reading·Sep 9, 21:19 UTC · 6d agoResearch

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Ambient @ EgoLongQA 2026: Distilling Long-Video perception into a Sub-2B Model

Ambient team wins EgoLongQA 2026 sub-2B division by distilling an agentic long-video perception pipeline into a 2B vision-language model.

Ambient's entry to the EgoLongQA track of the Wearable-AI Challenge at ECCV 2026 placed first in the <=2B parameter division with 0.8279 on the held-out test set. The system distills the junior perception module of a tool-using agentic pipeline into a 2B student, reaching 89% of the pipeline's accuracy with 1.1% of its parameters and lifting a 27.1% base model to 81.4%. To meet the division limit, the multilingual embedding table is pruned from 248,320 to 143,469 rows, reaching 1.9985B parameters with provably identical logits on retained rows.

Hugging Face daily papers·Sep 9, 20:00 UTC · 6d agoAI research

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Rockwell Automation 1756-ENBT Module

Rockwell's 1756-ENBT ControlLogix EtherNet/IP bridge (all versions) is vulnerable to DoS via crafted CIP packets, crashing the module until manual restart.

CISA republished Rockwell Automation's advisory for CVE-2025-10478, a CWE-754 flaw affecting all versions of the 1756-ENBT ControlLogix EtherNet/IP bridge, scored CVSS 7.5. A crafted CIP packet can crash the module, and the device requires a restart to recover. Affected critical infrastructure sectors include critical manufacturing, food and agriculture, transportation systems, and water. No public exploitation has been reported; CISA recommends minimizing network exposure.

CISA Advisories·Sep 3, 12:00 UTC · 13d agoAdvisory 3 sourcesCVE-2025-10478

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From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

NVIDIA detailed DSX power-management results: Lambda gained 24% token throughput at fixed power, and an AI factory auto-shed 1MW via Emerald AI's grid program.

NVIDIA says Lambda's first validation of DSX MaxLPS on HGX B200 servers ran 19 nodes within a 16-node power budget, lifting cluster token throughput 24% (roughly 4M to 5M tokens/second) and improving performance per watt by 23%. NVIDIA projects DSX MaxLPS can enable up to 40% more GPU capacity for Vera Rubin NVL72 factories within the same megawatt budget. Emerald AI's Conductor platform, running at NVIDIA's Eos factory with Silicon Valley Power, responded to over 200 utility demand signals, automatically dropping power from 4MW to 3MW without interrupting priority workloads. The first dedicated DSX Flex commercial deployment is planned at a 96-megawatt Manassas, Virginia facility.

NVIDIA Blog·Sep 15, 16:55 UTC · 21h agoAI industry

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Simulation: the new Scaling Law — Joon Sung Park, Simile AI

Simile AI raised a $2B Series B from GreenOaks and Index Ventures to scale human-behavior simulation for Fortune 100 clients like CVS.

Simile AI, co-founded by Generative Agents researcher Joon Sung Park, announced a $2 billion Series B backed by GreenOaks and Index Ventures, with Fei-Fei Li and Andrej Karpathy among backers. The company runs tens of millions of simulations for Fortune 100 clients including CVS, reporting 85-99% accuracy versus human focus groups and digital twins of 1,000 real people at 85% behavioral accuracy. The long-term ambition is foundation models of human behavior, post-trained on interviews, transaction data, and randomized controlled trials, potentially simulating all 8 billion people.

Latent Space·Aug 21, 23:37 UTC · 25d agoAI industry

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Introducing Gemini 3.7 Flash

Google DeepMind announced Gemini 3.7 Flash, a new Flash-tier addition to its Gemini model family for fast, cost-efficient workloads.

Google DeepMind introduced Gemini 3.7 Flash via its official blog. The release adds a new Flash-tier model to the Gemini family; Flash tiers typically target low-latency, cost-efficient inference. The announcement text provided no additional benchmark or capability details.

Google DeepMind·Aug 13, 17:04 UTC · Aug 13, 2026Model release

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Quoting Rick Brewster

Paint.NET added a clean-room Direct2D rewrite for WINE, largely written by Anthropic's Claude and described as unreviewed 'vibe coded' code.

Rick Brewster says Paint.NET now ships a from-scratch, reverse-engineered Direct2D implementation (PaintDotNet.Windows.Direct2D1.Managed.dll) used under WINE via a /wine flag, since Direct2D was never completed well enough there. He credits the Claude coding assistant with writing most of the code, calling it largely 'vibe coded' and not thoroughly reviewed. Simon Willison shared the quote as an example of shipping AI-assisted systems code in production software.

Simon Willison·Sep 2, 05:50 UTC · 14d agoAI tools & infra1

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WarmBloodAban/Minimax-h3_Singularity — new model trending #22 on Hugging Face

Community fine-tune Minimax-h3_Singularity enhances MiniMax-H3 video generation with HDR quality, distant face restoration, and improved motion, trending #22 on Hugging Face.

Minimax-h3_Singularity is a community fusion fine-tune of the MiniMax-H3 multimodal video generation model, built from multiple checkpoints and refined with pruning and weight optimization. It supports Text-to-Video, Image-to-Video, Reference-to-Video, and Video-to-Video workflows in ComfyUI, and claims improvements in HDR clarity, distant face restoration, motion fluidity, and fantasy VFX. The authors recommend pairing it with the minimax_h3_ref2v_turbo_4step_v0.1 LoRA for four-step accelerated inference, and an online demo is available via RunningHub.

Hugging Face trending models·Sep 5, 18:51 UTC · 10d agoModel release7· 1 read

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IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

IBM released Granite Time Series PatchTST-FM-r2, a claimed state-of-the-art time series foundation model under a commercial-friendly license.

IBM Research announced the release of Granite Time Series PatchTST-FM-r2, published via the Hugging Face blog. The model is presented as state-of-the-art for time-series forecasting and is offered under a license permitting commercial use. No benchmark numbers or model size details were provided in the available text.

Hugging Face Blog·Sep 9, 15:36 UTC · 6d agoModel release

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Mistral raises €3B as sovereign AI becomes big business

Mistral AI raised a €3B Series D at a €21B+ valuation, led by Samsung Electronics, to scale European compute capacity and sovereign AI services.

French AI lab Mistral AI raised €3 billion (~$3.58B) at a post-money valuation above €21 billion, which it calls the largest equity round ever completed by a European technology company. Samsung Electronics led the round, with EQT's Scaleup Europe Fund and PSG Equity as co-leads; a16z, Nvidia, Salesforce Ventures, Advent, BlackRock, and Luxembourg also participated. The company plans to build 1 GW of European compute capacity by 2030, offer region-selectable query processing, and host third-party open-weight models as part of a sovereign AI strategy. Mistral operates in 20 countries and targets governments and enterprises seeking control over AI models and data residency.

TechCrunch · AI·Sep 8, 14:17 UTC · 7d agoAI industry

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Arm Mali G2-Ultra NX GPU: desktop-class mobile gameplay with AI-native graphics

Arm unveiled Mali G2-Ultra NX, its first AI-native mobile GPU with in-shader neural acceleration, third-gen ray tracing, and up to 24% higher benchmark performance.

Arm announced the Mali G2-Ultra NX, the first AI-native Mali GPU, integrating neural accelerators directly into shader cores alongside a new execution engine and third-generation hardware ray tracing. It introduces Neural Super Sampling (NSS), Neural Frame Rate Upscaling (NFRU), and Neural Super Sampling and Denoising (NSSD); the Neural Dawn demo with Sumo Digital showed up to 4x performance efficiency and 70% lower external memory traffic versus native rendering. Arm claims up to 24% higher benchmark performance, 13% lower DRAM traffic on ray tracing benchmarks, and up to 120 FPS with NFRU. Over 14 billion Mali GPUs have shipped to date.

Hacker News · AI·Sep 8, 04:06 UTC · 8d agoAI industryHN 71↑ · 53 comments1

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Atria Dawn: The Dawn of Agentic Superintelligence

Atria Dawn Preview, an agentic foundation model trained on verifiable experiences, tops five of 16 research and engineering benchmarks.

Atria Dawn Preview is a foundation agentic language model for scientific research and engineering workflows, trained via a Verifiable Experience Pipeline connecting tool-mediated interactions to executable environments and externally verified outcomes. Across 16 benchmarks spanning research, engineering, and digital work it is competitive with frontier agents and achieves the highest reported score on five of them. The release includes a human-AI collaboration case study analyzing 769 task records from 56 participants, where about one-third of completed AI-assisted tasks were rated infeasible without AI and agents frequently proposed methods and implemented revisions while humans retained final decisions.

Hugging Face daily papers·Sep 13, 20:00 UTC · 2d agoModel release

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Mercator ↔ Equal Earth

Simon Willison used GPT-6 Astra (medium) in ChatGPT Work to build an animated D3 transition between Mercator and Equal Earth map projections.

Willison built an animated transition between the Mercator and Equal Earth map projections using D3. The tool was generated by GPT-6 Astra (medium) in ChatGPT Work. Equal Earth is a projection recently voted on at the UN. The post is a vibe-coding demonstration rather than a security or major model event.

Simon Willison·Sep 7, 16:24 UTC · 8d agoAI tools & infra1

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August 2026 CVE Landscape

Insikt Group catalogs 73 high-impact August 2026 CVEs (43 Very Critical), including PaperCut, Zimbra, and Metabase flaws actively exploited or weaponized.

Recorded Future's Insikt Group identified 73 high-impact vulnerabilities in August 2026, 43 rated Very Critical, spanning 45 vendors with Microsoft accounting for roughly 11%. 31 vulnerabilities surfaced via CISA's KEV catalog, with others validated via open sources, vendor telemetry, and honeypot data. New Nuclei detection templates were released for CVE-2025-62593 (Ray), CVE-2026-72898 (Metabase), and CVE-2026-9198 (IBM Langflow). The report also highlights two AI-assisted operations: UAT-10147 exploited Zimbra, AjaxPro, Nacos, and Telerik servers before using DeepAudit and PentestGPT post-compromise, while a separate Chinese-speaking actor weaponized Hermes Agent and DeepSeek in a failed attempt.

Recorded Future·Sep 8, 00:00 UTC · 8d agoVulnerability in the wildCVE-2025-62593CVE-2026-72898CVE-2026-9198+4 CVEs

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VidaForge: Open Research Infrastructure for Video Pretraining Data Recipes

VidaForge releases open infrastructure and VIDAFORGE-3M (3.14M clips, 6,475 hours) linking video pretraining data recipes to downstream model performance.

VidaForge is an open research infrastructure that represents a video pretraining data recipe as an executable five-stage workflow from raw videos to training datasets. The team compares data recipes with different coverage and quality during early from-scratch pretraining of Wan 2.1 and V-JEPA 2.1, finding that broader-coverage recipes achieve the highest downstream benchmark scores while loss-based evaluation favors different recipes. They also release VIDAFORGE-3M, containing 3.14 million scene-level clips totaling 6,475 hours with fine-grained annotations and curation signals for video data-recipe research.

Hugging Face daily papers·Sep 5, 20:00 UTC · 10d agoAI research

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Nozomi Compass helps industrial teams manage OT assets and vulnerabilities

Nozomi Networks launched Compass, an OT asset and vulnerability management platform unifying asset records, remediation workflows, and compliance evidence for industrial teams.

Nozomi Networks announced Compass, an OT asset and service management platform built on real-time first-party asset data from its Vantage cyber-physical security platform. It provides OT-native workflows, governed change approvals, consequence-based risk scoring, and continuous audit-ready compliance evidence mapped to NERC CIP, IEC 62443, NIS2, and TSA. The platform integrates with EAM, CMDB, ITAM, ITSM, SIEM, and SOAR tools and is designed to safely support AI-driven and agentic OT workflows with human oversight.

Help Net Security·10:27 UTC · 3h agoTools

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Recreating a 70-year love story frame by frame

Google DeepMind and filmmakers used generative image restoration and performance capture to recreate a couple's unrecorded past in the documentary 'Love, Rendered'.

Google DeepMind partnered with Primordial Soup, Darren Aronofsky's creative venture, on 'Love, Rendered,' a documentary short directed by Academy Award-nominated Liz Garbus. The film follows Burt and Ethelle Shatz, married over 70 years, as AI recreates their unrecorded first meeting amid Burt's cognitive decline. The team restored black-and-white photos with generative models and mapped the couple's present-day mannerisms onto younger likenesses using performance capture models. Google also highlights photo restoration and colorization capabilities in the Gemini app.

Google · AI·Sep 9, 16:00 UTC · 6d agoAI industry

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The Pelican comparison grid for Astra is pretty interesting

Simon Willison's pelican SVG comparison shows GPT-6 Astra producing markedly better images than GPT-5.6 Sol, Terra, and Luna across reasoning levels.

Willison generated pelicans-riding-bicycles SVGs with newly accessed GPT-6 Astra at low through max reasoning levels and rendered them in a comparison grid against GPT-5.6 Sol, Terra, and Luna. Astra's outputs were markedly more coherent, while even the best GPT-5.6-Sol images remained largely abstract shapes. Astra does not support a reasoning=none setting, so all comparisons involved reasoning-enabled runs.

Simon Willison·Sep 4, 23:59 UTC · 11d agoAI research

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Researchers Use Claude to Port Pre-Auth RCE Exploit From One PLC Model to Another

Forescout used Anthropic's Claude to port a working pre-auth RCE exploit for CVE-2021-31886 between WAGO PLCs, executing ARM shellcode on live hardware.

Forescout Vedere Labs used Claude interactively to port an RCE exploit for CVE-2021-31886, a CVSS 9.8 stack buffer overflow in the Nucleus FTP server's USER command, from a WAGO 750-852 to a WAGO 750-831 PLC, running attacker-supplied ARM shellcode. The final RCE stage cost $535.74 in API usage over 8 hours 32 minutes, and a follow-up attempt to build a C2 implant permanently bricked the device. CERT@VDE lists many Nucleus V1-based WAGO models as vulnerable with no updates available; Siemens plans no Nucleus NET remediation. The work follows a joint NSA/CISA/FBI/DOE/EPA advisory warning of AI-generated exploitation scripts targeting internet-exposed Siemens S7 PLCs.

The Hacker News·Sep 2, 07:47 UTC · 14d agoResearchCVE-2021-318862

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RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting

RelightFormer is a feed-forward generative transformer for photorealistic single- and multi-view object relighting, trained on a 90K-object dataset.

Researchers introduce RelightFormer, a feed-forward generative transformer adapted from a video foundation model that performs direct image relighting without explicit intrinsic property estimation. The architecture injects target environment maps via a latent illumination module with cross-attention and uses permutation-invariant positional encodings for unordered multi-view inputs. Training relies on the newly constructed Laval Objaverse Dataset (LOD) with 90K objects and 39K unique illuminations, and the model shows state-of-the-art quality with strong zero-shot generalization across single-view, multi-view, and novel-view relighting.

Hugging Face daily papers·Sep 6, 20:00 UTC · 9d agoAI research

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Google’s Gemini 3.8 Flash takes on bigger AI models at a lower cost

Google released Gemini 3.8 Flash with a security-focused Cyber variant that produces 2.6x more correct patches and found a critical vulnerability in under two hours.

Google launched Gemini 3.8 Flash for developers and a gated Gemini 3.8 Flash Cyber model reserved for vetted security teams through the new Fairwind program. The company says the model beats most larger frontier models on the DeepSWE v1.1 engineering benchmark at lower cost, and Chrome Security reports the Cyber variant produced 2.6 times more correct patches than the best commercial models while Google's Cloud Vulnerability Research team found a critical foundational vulnerability in under two hours. The models show significant prompt-injection robustness gains measured by Gray Swan and carry CBRN misuse safeguards, with cyber-offense restrictions on the standard version. Pricing matches Gemini 3.7 Flash at $0.75 per million input tokens and $3.75 per million output tokens.

Help Net Security·Sep 3, 00:00 UTC · 13d agoModel release

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Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?

Six frontier models from OpenAI, Anthropic, xAI, and Google DeepMind converge on one imagined successor architecture when asked under a school-audience framing.

Researchers ran ten independent sessions per model type across six frontier models using a three-stage prompt sequence progressing to a full ASCII backbone architecture. Under school-audience framing, responses repeatedly converged on a shared motif including persistent latent state, adaptive computation, memory, specialist routing, verification, and stopping control, while control runs without the framing produced heterogeneous responses. A GPT-5.6 Sol output closely overlapped an architecture independently sketched by GPT-6 Astra, raising questions about shared design priors or motif propagation between model families. The paper coins 'epistemic jailbreak' for the observed loss of provenance discipline as prompt specificity increases.

Hugging Face daily papers·Sep 12, 20:00 UTC · 3d agoAI research 11 sources

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Crusoe reportedly raises $3B at a $30B valuation

AI data center developer Crusoe raised $3 billion at a $30 billion valuation, plus a $13 billion five-year GPU contract with Jane Street.

Crusoe, which builds hyperscale data centers for customers including Meta, Microsoft, OpenAI, and Oracle, raised a $3 billion round at a $30 billion valuation, Bloomberg reported. The round was co-led by Atreides Management and Valor Equity Partners with participation from Mubadala Capital. It comes 10 months after a $1.38 billion raise at a $10 billion valuation and follows a $13 billion, five-year cloud contract supplying GPUs and AI infrastructure to trading firm Jane Street. The company has met with Goldman Sachs and Morgan Stanley about a potential near-term IPO.

TechCrunch · AI·Sep 4, 00:48 UTC · 12d agoAI industry

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