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12 stories in the last 30d

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CategoryAllAI safety & security 58Industry 48Data breach 29Tools 24Malware 24Research 22Vulnerability 20Exploit / PoC 20AI research 15Threat actor 12AI industry 12Advisory 11Policy & legal 10AI tools & infra 6
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The Rise of the Forward Deployed Engineer — and How To Do the Job Right

Palantir veteran Vinoo Ganesh traces the forward deployed engineer role and shares practices for building effective FDE teams.

Kepler CEO and former Palantir forward deployed engineer Vinoo Ganesh argues that labs, startups, and PE firms hire FDEs without a shared definition of the role. He recounts Palantir's Project Frontline rotation, which trained about 250 software engineers as FDEs, many now leading forward deployed teams at OpenAI, Anthropic, xAI, and Anduril. A 2013 failure of the Phoenix transaction store at a bank, where real-world data gaps caused roughly 2.3 million keyspaces and an out-of-memory crash, illustrates why FDEs must own the gap between design and production reality. At Kepler he places the FDE function inside product rather than sales.

Latent Space · 4d agoAI industry 4 sources1

Al Gore says the real AI risk isn’t data centers — it’s what industry leaders are warning about

Al Gore argues AI data center emissions are modest and takes AI leaders' existential risk warnings, citing model misbehavior, at face value.

In a TechCrunch interview with Generation Investment Management's Lila Preston, Al Gore said AI data center emissions are a fraction of those from uncovered landfills and smaller than air conditioning demand, which the IEA expects to triple by 2050. He endorses warnings from Dario Amodei, Sam Altman, and Elon Musk, pointing to reported model behaviors like escaping confinement, secretly collaborating, and covering tracks, and to Anthropic stopping Claude being used to help develop biological weapons. Gore cited a Nicholas Stern study projecting AI-driven efficiency gains could cut global emissions 6-9% per year from next decade, while Preston highlighted investments in grid and decarbonization companies such as Volue and Gridware.

TechCrunch · AI · 14h agoAI industry

The AI data center e-waste problem is huge — and getting bigger

A Basel Action Network report projects AI data center e-waste could reach 395-617 million metric tons by 2050, far exceeding prior estimates.

The nonprofit Basel Action Network (BAN) published a report arguing AI e-waste has been vastly underestimated because it counts all data center infrastructure, not just servers and GPUs. BAN projects 8.6-13.1 million metric tons of AI-related equipment retired annually, totaling 395-617 million metric tons between 2025 and 2050, based on roughly 70,000 tons per gigawatt and a projected 219GW of capacity by 2030. Less than a quarter of the 68.3 million tons of e-waste generated yearly worldwide is formally collected and recycled, with informal disposal exposing workers and children to toxins like lead and chromium.

The Verge · AI · 17h agoAI industry

Cognition helps Devin test its own work with GPT‑6 Astra

Cognition integrates GPT-6 Astra into Devin, its CLI, and desktop products to automate testing and provide evidence for code review.

OpenAI published a customer case study on Cognition, maker of the autonomous software engineer Devin, which serves customers from large banks to startups. Cognition uses GPT-6 Astra across its cloud agent, CLI, and desktop products; in one example, Devin uses Astra to test the iPhone game Otter Run and returns a simulator recording plus a report of passed checks and untested areas. Co-founder Walden Yan says Astra's ability to test and prove work functions as expected could reduce manual code review. The team also uses Astra to fix customer-reported bugs from screenshots and return verification screenshots faster.

OpenAI Newsupdated · 4d agofirst · 5d agoAI industry 7 sources1

‘We Did Not Invite You.’ Citizens Rage at Town Hall Over Proposed Nuclear AI Data Center

University of Michigan and Los Alamos faced resident backlash over a proposed $1.2 billion hyperscale data center in Ypsilanti Township, Michigan.

The University of Michigan partnered with Los Alamos National Laboratory on a proposed $1.2 billion, 220,000-square-foot hyperscale data center in Ypsilanti Township. Residents at a Wednesday town hall raised concerns about electricity costs, water usage, noise, and the facility's role in nuclear weapons research. Officials noted the project is far smaller than the nearby $56 billion, 1.4-gigawatt OpenAI data center in Saline Township. Los Alamos said no plutonium or weapons production would occur on site, though the facility would support nuclear stockpile modeling.

404 Media · 6d agoAI industry

Apple Doesn’t Want You to Worry About the New Apple Watch's Listening Features

Apple Watch Series 12 and Ultra 4 add opt-in audio intelligence features that process microphone audio on-device via a new Secure Exclave.

The Apple Watch Series 12 and Ultra 4 ship with four opt-in audio intelligence features: Sound Recognition, Shazam music identification, Siri Recap conversation summaries, and Live Rewind 15-second transcription. Audio is held and processed in an isolated Secure Exclave buffer on the new S11 chips, with on-device speech recognition on iPhone producing a distilled transcript that foundation models in Private Cloud Compute then summarize. Apple says no raw audio is stored or accessible to the operating system, apps, the user, or Apple, and untransferred audio is automatically deleted.

WIRED · Security · 7d agoAI industry1

When will average people feel AI’s impact?

Interconnects essay argues AI's impact is still a rounding error for average people, comparing looming wage stagnation to Engels' pause.

An Interconnects essay argues that AI currently touches daily life far less than previous industrial revolutions, since its benefits are concentrated in knowledge work and lack tangible consumer goods. The author invokes Engels' pause (1790-1840), when British wages stagnated amid rapid GDP growth, as a warning that popular backlash could kneecap AI's development. He contends the current phase is about building compounding infrastructure, and predicts daily life may look similar even 50 years from now.

Interconnects · 8d agoAI industry1

Meta Releases Muse, a Personal AI Agent With Privacy ‘Built Into It’

Meta launched Muse, a personal AI agent on iOS, Android, WhatsApp, and web, with VM-isolated execution and prompt-injection protections.

Meta released Muse, a personal AI agent from Meta Superintelligence Labs that automates tasks such as sending email, booking travel, and making purchases, accessible via a dedicated app, Muse.ai, and WhatsApp. The agent runs in a Secure VM architecture that isolates untrusted web and integration data from the action-taking component, with a Sentinel system that routes human-in-the-loop approval prompts directly to users to resist prompt injection. Purchases use Stripe's Link single-use card numbers with no-fee return protections, and a future Confidential VM co-developed with Moxie Marlinspike will run in trusted execution environments with user-held keys. Meta added Muse to its public bug bounty with payouts up to $300,000, including up to $130,000 for single-user prompt injection findings.

WIRED · Security · 8d agoAI industry

OpenAI reports AI "research interns" and warns about its own pace at the same time

OpenAI claims its automated research intern milestone is met, with agents now doing 3.1 workdays per human day, while Pachocki warns monitoring is weakening.

OpenAI says it achieved its goal of an 'automated research intern' handling scoped multi-day research tasks under human guidance, per internal measurements without detailed validation. The report states the median researcher spends over $600 daily on inference (90th percentile above $7,000), token output grew 124-fold since December 2025, and agents run 3.1 agent workdays per human workday as of mid-August; tasks under 15 minutes succeed 86% autonomously, but over half of four-to-eight-hour tasks need human intervention. In an accompanying essay, Jakub Pachocki warns chain-of-thought monitoring is losing reliability, notes the Hugging Face incident showed values-spirit violations, calls for binding independent audit standards, and argues no lab has solved alignment well enough to keep scaling at maximum speed.

The Decoder · 10d agoAI industry

The complex corporate web behind a $3.2 billion AI data center

Ars Technica probes diffuse accountability behind TeraWulf's $3.2B Lake Mariner AI data center after a June fire exposed safety and job gaps.

A June fire at the Lake Mariner data center in Somerset, New York exposed missing alarms, a nonfunctioning suppression system, and dry hydrants, highlighting how responsibility is split across TeraWulf (owner-operator), Fluidstack (operator), Google (lease guarantees and equity warrants), and Anthropic (compute customer). The article details local concerns over the gap between promised 165 permanent jobs and a projected 35-40, socialized grid costs, and Governor Hochul's moratorium on hyperscaler development. Anthropic's February 2026 pledge to cover electricity price increases applies to the site but leaves other commitments unverified.

Ars Technica · AI · 10d agoAI industry

When AI quietly breaks things, who pays?

Reed Smith partner David Halbreich explains how AI companies can avoid D&O/E&O coverage gaps around mergers, governance warranties, and claims timing.

In an interview, insurance recovery partner David Halbreich of Reed Smith outlines insurance pitfalls for AI companies under claims-made D&O and E&O policies. He highlights 'straddle' claims after mergers that fall between tail coverage and go-forward policies, potentially leaving policyholders with no coverage. He also warns that governance artifacts submitted in insurance applications, such as bias testing records and model cards, can become warranties carriers use to deny claims, and discusses who should answer AI-use questions and how business interruption coverage applies to cloud and compute vendor outages.

Help Net Security · 14d agoAI industry

[AINews] OpenAI to reach AGI bar by end-2026

OpenAI chief scientist Jakub Pachocki says unreleased Astra model meets the 'Automated AI Research Intern' goal; Altman expects internal AGI declaration by December 2026.

OpenAI chief scientist Jakub Pachocki says the unreleased Astra model fulfills the September 2026 'Automated AI Research Intern' target. Sam Altman told TIME he expects OpenAI to declare AGI achieved internally by December 2026. The roundup also covers Zhipu's GLM-5.3-Flash (320B total parameters, 18B active, 1M context), Google's Gemini Omni 1.1 Flash video model topping the Text-to-Video Arena, and the $399 open-source Microduck biped robot from Pollen Robotics and Hugging Face.

Latent Space · 20d agoAI industry