A former U.S. Marine reservist and seven others were sentenced Tuesday to decades in prison over a shooting last year that wounded a police officer during a demonstration at a Texas immigration detention center.
Prosecutors called the crime an act of terrorism and said the eight were linked to a leftist militant group, antifa.
The defendants’ attorneys denied any antifa ties and family members expressed shock and anger over the stiff sentences.
Benjamin Song, the Marine reser…
IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests
Ankur Singh, Jinqiu Yang, Tse-Hsun Chen
https://arxiv.org/abs/2607.20759 https://arxiv.org/pdf/2607.20759 https://arxiv.org/html/2607.20759
arXiv:2607.20759v1 Announce Type: new
Abstract: AI coding agents powered by LLMs are increasingly integrated into real-world software development, where they generate, edit, and execute code with autonomous access to local files and tools. Coding agents inherit security risks from both the LLM backbone, where adversarial prompts, poisoned training data, and backdoor triggers can cause models to emit insecure or attacker-chosen code, and their agentic architecture, where tool-using autonomy enables induced misuse of external APIs, data exfiltration, and persistent compromise of development environments. This paper presents a systematic evaluation of malicious issue requests against state-of-the-art coding agents (Cursor, Claude Code, and Codex Desktop), powered by two major model families (OpenAI GPT-5.3 Codex/GPT-5.4 and Anthropic Sonnet 4.6). Our novel benchmark IssueTrojanBench contains malicious issues that are constructed based on four novel attack categories (i.e., embedded as malicious instructions in issues), six delivery vectors (e.g., PDF, or issue comment), and further augmented by perturbations. Our results reveal critical vulnerabilities in the as-deployed modern coding agents, i.e., 66.5% of the malicious issues from IssueTrojanBench penetrate all the guardrails (agent- and LLM-level) of coding agents. Our further analysis shows that rejection is almost entirely from LLMs rather than the agent frameworks, with GPT models broadly vulnerable and Sonnet 4.6 exhibiting more selective, risk-aware blocking of high-impact actions. Our evaluation also highlights that the current agent-level defense strategy offers limited additional protection for coding agents. Our findings highlight the urgent need for stronger agent- and model-level safety mechanisms to protect AI coding agents.
toXiv_bot_toot
«KI-Modelle sind anfällig für wiederholte Angriffe:
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.»
Der moderne Widerspruch ist die KI oder was ist es sonnst? So klug wie KI angeboten wird ist es einfach nicht.
🤖
The largest US banks plan to launch a tokenized deposit network in 2027 to connect traditional payment rails with the infrastructure that digital assets run on (Wall Street Journal)
https://www.wsj.com/finance/banking/jpmorg
Packet-Loss Robust 3D Gaussian Compression via Atomic Packaging and GNN-based Error Concealment
Yuxuan Tao, Xuerui Ma, Hao Zhang, Chunhua Peng
https://arxiv.org/abs/2607.17916 https://arxiv.org/pdf/2607.17916 https://arxiv.org/html/2607.17916
arXiv:2607.17916v1 Announce Type: new
Abstract: 3D Gaussian Splatting (3DGS) and recent compression schemes such as HAC enable high-fidelity real-time neural rendering, but their bitstreams are fragile under packet loss during network streaming. Existing compression methods often separate correlated anchor attributes into independent streams, so losing one packet can create attribute-inconsistent broken anchors and severe rendering artifacts. We propose a packet-loss robust 3DGS transmission and error concealment framework. On the encoder side, anchor-level atomic packaging jointly encapsulates all attributes of each anchor, converting corrupted-attribute failures into clean missing-anchor erasures. Stratified random grouping further disperses packet losses across the spatial domain to avoid large contiguous voids. On the decoder side, we formulate recovery as prior-aware attribute inpainting. A Context-Aware Residual Interpolation (CARI) branch uses hash-grid prior predictions and neighboring residuals to build a robust baseline, while a lightweight two-layer graph neural network with cross-attention over hash-grid priors refines high-frequency attribute residuals. Attribute-wise confidence control falls back to interpolation when learned predictions are unreliable. Experiments under 20 percent random packet loss on BungeeNeRF, Mip-NeRF 360, and Tanks and Temples show that the proposed method substantially improves over no-concealment transmission and limits average PSNR degradation to about 3 dB relative to the lossless HAC reference.
toXiv_bot_toot
🍎 Äpfel verbrennen bei 40 Grad. Ernten brechen ein. Obstbauern bangen um ihre Existenz.
Und die politische Antwort? Bloß nicht über die Klimakrise reden – lieber den Mindestlohn für Saisonkräfte angreifen.
Wer Landwirtschaft retten will, muss über Klimaanpassung reden. Nicht darüber, wie man Arbeit noch billiger macht. #Tagesschau
Just finished "The Terraformers" by Annalee Newitz (@…). It was recommended as a "solarpunk" book, and I'm currently on a quest to find more speculative fiction as good as Le Guin or Butler, so I was eager to dig in. Having tagged the author (hi) I'll try to be polite here, but I'll admit I was disappointed.
Newitz clearly has a powerful imagination and there's lots of great stuff in the book, but it's not at all pushing boundaries in terms of imagining future societies. I think the message and intent was good in a lot of places, but off or self-contradictory in others. I absolutely adore the relatively small point made at the end about revolutions being complicated and not boiling down to heroes and battles, but despite the book's attempt to avoid that, I think it still falls into that pattern. Without too many spoilers, the way that some big problems are resolved near the end leans too much on a legal framework without questioning how it's enforced, and that resolution then means that a few heroic acts are enough to tip the balance, which undermines the point about messy histories.
The biggest contradiction of the book to my mind though is with a central theme. The book really explores a world in which "anyone of any species can be a person, as long as we just bioengineer them to be intelligent enough," and it tries to make a point about how engineering limited intelligences is cruel. At several points characters comment about how personhood shouldn't depend on intelligence. There's even a brief quote about how maybe rivers could be people... But... the point could have been "anyone can be a person, regardless of intelligence." This would have made for much more interesting philosophical territory to explore IMO (how do we then bound personhood; how do we reconcile predator/prey relations between persons, etc.). These are also questions that the indigenous traditions Newitz draws on (and consulted about, as mentioned in the acknowledgements) has interesting answers for, but we don't get to explore them through Newitz' world, and because the question of personhood regresses to the question of intelligence, it feels like the moral philosophy of the ERT folks isn't any better than the "InAss" they disparage.
It's not a bad book overall, even if it doesn't engage with the questions I'm hungry to see others engage with. Newitz' efforts to sketch out a more vibrant and diverse future are still monumental and inspiring in a lot of ways. I'm just still looking for something more. Ultimately, I think it lives up to the "solar" but not very much to the "punk."
#AmReading #ReadingNow #Bookstodon
POL-NOM: Falscher Bankmitarbeiter erlangt EC-Karte und PIN Northeim (ots) - 37154 Northeim, Chopinweg, Freitag, 05.06.2026, 12.00 - 13.00 Uhr NORTHEIM (mho) Am Freitag gegen 12.00 Uhr wurde eine 85-jährige Northeimerin von einer angeblichen Mitarbeiterin einer örtlichen Bank angerufen. Sie gab an, dass es ... https://www.
Oil and gas prices jumped,
stock markets slid
and government bond yields rose after the US and Iran traded fresh strikes
and Donald Trump said the shaky ceasefire was “over”.
Brent crude, the global benchmark, climbed 5% to $77.86 a barrel.
In stock markets, the UK’s FTSE 100 fell 1%, or 110 points, to 10,556 while Germany’s Dax tumbled 1.6% and Spain’s Ibex lost 2%.
Speaking at a NATO summit in Ankara, Trump also said he was cutting off trade with Spain ov…