Researchers say they’ve found a new way to extract lithium, a crucial metal used in the lithium-ion batteries that power electric vehicles and energy storage arrays. This new technique could be more environmentally friendly and cheaper than existing ones. The research was published today in Science, and a startup called Rock Zero is working to…

Iron-rich immune cells in the liver may act as sensors for magnetic fields, serving as an internal compass.

Pay Tel secured the publicly exposed data after security researchers discovered the leak containing callers' sensitive ID documents and inmate communications.

Using a throwaway account right now for obvious reasons. I have a friend at my company that has access to some insider stuff who (subtley) tipped me off that I'm on the chopping block for upcoming layoffs. Obviously, I'm trying to resume-spam now, but I am pretty sure that cold applying to companies doesn't work anymore, because every job posting is immediately botted to shit (and a lot of job postings are fake anyway). So...what do people actually do to find work now? Is it really just going th

Are agents aging after deployment? : https://arxiv.org/abs/2605.26302 On a new longitudinal deployment benchmark, switching the Claude Code CLI agent from Sonnet 4.6 to Opus 4.7 dropped PyTest pass rate by ~15%. This (to me) is a counterintuitive-enough result to pay attention to. The authors built AgingBench , to measure how coding agents hold up over a long deployment, not just on a single task. On their S7 coding scenario, swapping the backbone model from Sonnet 4.6 to Opus 4.7, within the same Claude Code CLI harness, produced a 15% mean drop in PyTest pass rate across the deployment horizon. Their argument is that this is a longitudinal effect, not a raw-capability one. The benchmark stresses how an agent's memory state evolves over many sessions (compression, interference, revision, maintenance shocks), and a stronger base model doesn't automatically age better under a given memory policy. In fact, memory policy alone drove a 4.5x spread in agent half-life across scenarios, which is larger than any model swap they tested. All to say: "newer model, just swap it in" may not be a safe upgrade strategy for long-lived agents. More details and a runnable benchmark: https://agingbench.github.io Does this reflect your experience with long-lived agentic deployments? submitted by /u/CategoryNormal149 [link] [留言]

Waymo is debuting Ojai, its first purpose-built robotaxi

Europe’s startup ecosystem has matured significantly; its founders are increasingly willing to scale companies domestically instead of immediately looking to relocate to the U.S.

Hi HN, I built py-sql-cleaner, a CLI for formatting SQL embedded in Python files. Python formatters handle Python syntax. They do not format SQL written inside Python code. On the other hand, SQL formatters usually target SQL files or raw SQL text, not SQL embedded inside a Python file. Still, I think it is not uncommon to find long SQL queries inside Python codebases. py-sql-cleaner detects embedded SQL inside Python files and works only on that SQL. The main things it can do are: find the SQL,

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I'm seeing an enormous contingency of my LinkedIn connections change their titles to "AI Engineer." I know for a fact that they're not working on any models or even AI workflows, they're just building apps and backends using AI tools like Claude. Is that what "AI Engineer" means nowadays? Is that what companies are looking for when they open recs for "AI Engineer"? Should I be marketing myself as an "AI Engineer" just because I'm very efficient using modern AI tooling to build good non-AI softwa

While startups raising back-to-back rounds at steep step-ups have become almost routine, a company whose valuation doubles in three weeks is unusual enough to raise questions, particularly given the investor set in both rounds is the same.

Intel's Arc B390 integrated GPU has offered impressive performance in laptops.

submitted by /u/Rare-Grapefruit-3982 [link] [留言]