The hacker behind the $340M crypto heist returned most of the funds, a twist that's as rare as the theft itself.

Three generations of intelligent retrieval systems is a long arc to trace, and the lessons are tangible.

Banks have spent decades refining model validation, but large language models don't fit neatly into those established frameworks.

Bluecore Energy just closed an oversubscribed $50 million seed round, a striking leap from the $10 million pre-seed it raised only two months after launching.

Getting hands-on with GPT-6 Astra means moving past default prompts.

Every request your LLM handles may carry millions of tokens, yet much of that data repeats across calls.

Packer 1.16 now bakes SLSA provenance directly into every machine image it builds, giving teams a tamper-proof record of how that image came to be. That's a meaningful step for security-minded organizations tired of…

Apple's annual iPhone event streams live on September 9 at 10 AM PDT, and the anticipation is warranted.

Google Cloud's new Accenture partnership is a calculated bet that forward-deployed engineers, not just flashy models, will close the AI adoption gap.

ArrowJS is asking a question worth pausing on: if AI agents are writing more of our interfaces, why are we still rendering them like it's 2019?

Mistral has raised €3 billion in a Series D round at a €21 billion valuation, with Samsung, Scaleup Europe, and PSG Equity leading the charge.

Google's decision to revive an Iowa nuclear power plant just got real backing: a $1.9 billion loan from the U.S. Energy Department. That's a serious vote of confidence for a project most would have written off. It…

A $1 million bounty for the Navier-Stokes problem is serious stakes, and a NYU mathematician claims OpenAI didn't play fair.

The cost of AI coding agents and proprietary models can feel like a barrier, but it doesn't have to be.

Google is accelerating Chrome's release cycle to deliver security patches and new features at a faster clip.

Upgrading an embedding model usually means a brutal choice: serve stale vectors or spend 108 days on backfill.

PINNStudio starts from a familiar pain: a researcher who knows the physics but is buried in boilerplate code.

A context window can hold every fact and still miss the truth.

One benchmark score is a snapshot, not a portrait.

A desk rejection is supposed to feel final, but this feels arbitrary.

Ten of the best-known circle-packing solutions on the Packomania csqv benchmark just got better, and an LLM did the improving.

Reproducibility is drifting out of reach in machine learning, and the reasons are practical, not philosophical.

GPT-6 is here, and its benchmark results are hard to ignore.

Large language models read the entire context window to find the few tokens that actually matter.

A jailbreak landed on GPT-6 Astra within 24 hours of its release.

The wait is nearly over.

Stoke Space has closed the initial tranche of a $1 billion Series E round, a decisive vote of confidence in its mission to make rockets as reusable as commercial jets.

The arrival of AGI is no longer a hypothetical; it is a present reality.

A single email about the automatic reference checker is one thing.

The final output looks perfect, but the pipeline reported success.

A single radar point can be enough to identify a car, yet the same sparse return leaves a two-wheeler indistinguishable from a pedestrian.

Two very capable models can still fail differently.

If you've ever felt the weight of Python dependencies or memory overhead in your optimization workflow, Rustuna is worth a close look.

A 95% reduction in token usage while holding accuracy steady is the kind of number that makes you look twice.

A sandbox is only as secure as the network it can reach.

Building a memory graph from known structures like people, facts, and timestamps is not overfitting; it's schema-aware engineering.

Most LLM agents feel reactive because they move token by token, pausing for the model to catch up.

Joe Cassavaugh traded the corporate engineering ladder for a solo career building puzzles and stories.

ICANN's decision to drop third-level .name domains is a quiet shift with loud consequences. By letting Verisign phase out these registrations, roughly 22,000 users face a real risk: their released second-level domains…

After months of denial, the record now shows what authors suspected all along.

Standard chaos engineering assumes experiments stop cleanly and blast radius is knowable upfront.

The core design of these math-solving systems is deceptively simple: generate statements in LEAN, submit them to a compiler, and let the results guide what becomes fact.

Roboticists in Learning-from-Demonstrations and Behavioral Cloning are asking a timely question: are frontier LLMs reshaping their field, or is it charting its own course?

Teaching a network to *remember* a video is one thing.

Submitting a paper three times across three different venues is a test of endurance, and the pattern here is hard to ignore.

When Eric Wu built Opendoor, he saw a broken system and rebuilt it.

"Opaque recurrence" might sound like a problem from a math exam, but it's actually one of those AI terms that quietly shapes how models handle long-term patterns.

The secret is out, and it's spectacular.

A bug reproduced in staging, documented with screenshots, and assigned to the right engineer, all while you slept.

Netflix is moving toward the open-source Apache Flink Autoscaler for more than 30,000 streaming jobs across multiple AWS regions, and the numbers make a compelling case.