Search: “Origin Energy”

8 stories in the last 7d

CenterPoint Energy confirmed hackers stole customer personal data from an external-facing system after a forum leak of 7.5 million records.

CenterPoint Energy, a Houston-based utility serving roughly 7 million customers across Indiana, Minnesota, Ohio and Texas, told the SEC that an unauthorized third party obtained customer personal information through an external-facing system. On September 12 a hacker claimed to have stolen nearly 7.5 million records and posted a 2.5 GB archive on a cybercrime forum, threatening to attack main infrastructure next. The company says electric and gas delivery is unaffected and it expects no material impact. Earlier 2024 leak claims were attributed to Cl0p's 2023 MOVEit campaign via a third party.

SecurityWeekSep 15, 15:30 UTC · 1d agoData breach

The 2.5-hour AI-generated Odyssey movie is 2.5 hours too long

AI studio Fountain 0 released the 2.5-hour fully AI-generated film 'Odysseus: The Fall,' which reviewers panned for severe visual and audio consistency failures.

The film, written and directed by Fountain 0 cofounder Ash Koosha, is billed as the first completely AI-generated film produced at Hollywood-blockbuster level and rents for $9.99 via web browser only. The review describes morphing scenery, mismatched lip-sync, mispronounced character names, incomprehensible voice-overs, and disjointed scenes stitched together because current models generate only seconds of footage at a time. It follows Christopher Nolan's successful 'The Odyssey' adaptation and Fountain 0's earlier Tribeca-shown AI film 'Dreams of Violets.'

The Verge · AISep 16, 20:59 UTC · 10h agoAI industry

Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning

Review connects control theory, optimal transport, probabilistic inference, thermodynamics, and machine learning via free-energy optimization under constraints.

The review unifies five fields: control theory, optimal transport, probabilistic inference, non-equilibrium thermodynamics, and machine learning. The common conceptual thread is optimization of free-energy-like functionals under dynamical or statistical constraints. Selected applications are presented in reinforcement learning, variational inference, and generative modeling. The tutorial-style text assumes no prior familiarity and begins from physics principles.

arXiv cs.AI / cs.LG / cs.CLSep 14, 17:16 UTC · 2d agoAI research

Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory

Analysis shows biased patterns cut dense associative memory capacity from N^(n-1)/ln N to O(N^(n/2)), with a bias-induced crossover.

The paper analyzes dense associative memory capacity for biased centered binary patterns under the Krotov-Hopfield single-site criterion. Unbiased patterns (q=1/2) with order-n polynomial interactions yield capacity of order N^(n-1)/ln N, while fixed bias q<1/2 reduces capacity to O(N^(n/2)) for even n>=4 and O(N^((n+1)/2)) for odd n>=5. A bias-dependent crosstalk mean destabilizes sites carrying the frequent value, and an activity-dependent control potential restores the higher capacity within the conditioned-Gaussian approximation.

arXiv cs.AI / cs.LG / cs.CLSep 15, 17:16 UTC · 1d agoAI research

Unsolved Problem by Fields Medalist Breached by Two High School Students

Two high school students used Claude Opus 5 and GPT-5.6 Sol to help solve an open Lorentzian polynomials problem, posting a 75-page arXiv proof.

Aayush Bathija and Prince Rohatgi of Oak Park High School, mentored by UCLA postdoc Daniel Soskin, published the 75-page paper 'Bounded Ratios for Lorentzian Polynomials' (arXiv 2609.05341), solving an open problem in Fields Medalist June Huh's Lorentzian polynomial theory. The main structural theorem extends bounded coefficient-ratio characterization from quadratic to arbitrary-degree polynomials via discrete convexity conditions. The students used Claude Opus 5 and GPT-5.6 Sol for exploration and proof ideas but independently verified all arguments; the result follows an open letter from 25 Fields Medalists voicing concerns about AI's impact on mathematical rigor.

Hacker News · securitySep 14, 12:23 UTC · 2d agoAI research HN 22↑ · 19 comments

Schneider Electric SCADAPack x70 Products

CISA advisory: Schneider Electric SCADAPack x70 RTUs contain CVE-2026-81861, an insufficiently protected credentials flaw allowing unauthorized access to RTU configuration.

CISA advisory ICSA-26-258-04 discloses CVE-2026-81861 affecting all versions of Schneider Electric SCADAPack 47x, 47xi, 47xd, 470R, 57x, 3xx, and 32 remote terminal units. The CWE-522 insufficiently protected credentials vulnerability could expose authentication information and permit unauthorized access to RTU configuration through the Secure Lock functionality. The flaw carries a CVSS v3.1 base score of 6.5 (medium), and the products are deployed worldwide in critical manufacturing and energy sectors. Abhinav Agarwal reported the vulnerability to CISA.

CISA AdvisoriesSep 15, 12:00 UTC · 1d agoAdvisory CVE-2026-81861

macOS 27 Golden Gate – Review

Ars Technica reviews macOS 27 Golden Gate, highlighting an unavoidable Apple Intelligence upgrade, new AFM 3 Core models, and dropped Intel Mac support.

macOS 27 Golden Gate delivers the first significant Apple Intelligence upgrade two years after launch, and the toggle to disable the AI features or delete downloaded models is gone. Apple Intelligence runs on a new AFM 3 Core model built in collaboration with Google, while the more capable AFM 3 Core Advanced requires an M3 chip and at least 12GB of RAM. The release drops all Intel Mac support, requiring Apple Silicon, with Sequoia security updates expected to end in fall 2027 and Tahoe's in 2028.

Hacker News · AISep 16, 19:53 UTC · 11h agoAI industry 2 sources HN 45↑ · 28 comments

Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC

AIUC raised a $40 million Series A to build AIUC-1, an agent security standard backed by insurance, serving Cursor, Harvey, Lovable, and ElevenLabs.

AIUC, cofounded by former Anthropic product hire Rune Kvist, announced a $40 million Series A led by Ribbit Capital and First Harmonic. The startup builds AIUC-1, an emerging standard for agent security, safety, and reliability, stress-testing agents for jailbreaks, hallucinations, and data leaks. It pairs standards with insurance underwriting through Lloyd's of London and counts Cursor, Harvey, Lovable, and ElevenLabs among its customers. Kvist argues trust and liability, not capability, are becoming the binding constraint on AI adoption.

Latent SpaceSep 16, 18:07 UTC · 13h agoAI industry 2 sources