PayPal's latest earnings beat shows momentum, but the real signal is in its willingness to listen.

Grafana Assistant now reaches across more than 30 data sources, letting users query and correlate information through plain language.

The Model Context Protocol is quietly changing how AI agents reach beyond their training data.

Vibe coding an import feels efficient until the model quietly misreads your data.

If you're tired of begging your model to "output valid JSON without including any markdown," this guide is for you.

If you've ever watched a neural network struggle through training, you know the feeling: there has to be a better way.

Trust in AI agents is no longer a pre-launch checkbox.

Recursive Superintelligence just committed $410 million to Amazon for compute, and that number says more about their strategy than any product roadmap could.

HBO Max is rolling out a new 'Shorts' feed, a direct nod to how many of us now browse on TikTok and Instagram Reels.

Five models, sustained generation, and a wall-socket meter don't lie: running a local LLM on Apple Silicon has a real, measurable price.

Eight million users in under a year, with $21 million in recurring revenue, tells a clear story: Fish Audio is building something people actually want.

For weeks, Runway chased a bug that made AI avatars drift off-center during real-time video generation.

A 4-billion-parameter model just hit 87% on Swedish medical licensing questions, matching what o3 scored months ago.

Forget high-level frameworks for a moment.

A status date change with no shift in visible status can feel like a dead end, especially after months of waiting.

A single RTX 3090 powered InfiniteDiffusion, an independent researcher's terrain-generation model, and that alone should reframe the conversation about compute access.

Five years.

Initial scores for theory papers often sit at a conservative 4/3/3, and this cycle feels no different.

Choosing between fine-tuning and a shared RAG layer isn't about sophistication; it's about where truth lives.

Sourcing compute for inference workloads is a puzzle most teams know well, and this post gets straight to the point.

The post-rebuttal window for NeurIPS is closing, and with the button shifting to official comments on July 27 AoE, a practical question hangs in the air: can you still edit your rebuttal afterward?

Building a Transformer from scratch in pure PyTorch is no small feat.

Waiting on a NeurIPS meta review for 36 hours tests anyone's patience.

A 3/3/5/7 on a first conference submission is a solid enough foothold, especially when the meta-reviewer points to actionable revisions rather than a dead end.

Getting from raw sensor data to a deployed model on an MCU is rarely a smooth path, so seeing a project built specifically to remove that friction is refreshing.

Six frontier models walked into a bias benchmark, and the results defy the usual left-right script.

The IMO 2026 benchmark results reveal a clear hierarchy: frontier models like sol and fable handle the math olympiad with near-perfect scores, while others, including sonnet and opus, lag without a harness.

Uber's Zero Growth Stack takes a sharp turn on infrastructure logic: it separates capacity growth from business demand, so services scale without piling on hardware.

When software engineers can lean on AI to write code, what's left for them to master?

The NeurIPS meta-reviewer response workflow just got clearer, and it's worth paying close attention to the timeline.

The question of running AI coding agents against a remote GPU is the right one to ask.

Amazon GuardDuty's new investigation agent, now in public preview, takes a significant step toward easing the burden of threat triage.

Spreadsheets were never designed to do the heavy lifting of modern data analysis.

Most people assume a transformer's capabilities come from training.

When a researcher posts about NeurIPS 2026's AI-generated reviews, the confusion is palpable.

Choosing the right AI model in 2026 starts with asking what your data actually needs to do, not what sounds impressive.

The push to keep papers short while demanding self-containment is creating a quiet crisis in ML conferences.

Baidu's Apollo Go is bringing its autonomous vehicles to London, and it's doing so through Freenow, the mobility network Lyft acquired in 2025.

Preparing for a live streaming deployment interview means more than rehearsing answers.

Submitting a rebuttal with figures that reviewers explicitly asked for is the right instinct, but linking them against the rules is a gamble.

The stateless shift isn't just a technical upgrade, it's the unlock that lets AI agents finally run at enterprise scale.

A small model that pulls text off a white background sounds deceptively simple, yet that's exactly why it works.

A missed deadline can feel like a quiet threat to all your hard work.

Remix 3 Beta Preview trades React for a web-standards full-stack framework, and that's a bold bet worth watching.

Dario Amodei isn't against open-weight models in principle.

Moonshot AI has released Kimi K3's full weights, and on the surface, it's a generous move for a 2.8-trillion-parameter model. But the attached license is where the real story lives. It grants broad rights while quietly…

Cursor is making its boldest move in India yet, with localized pricing and a clear signal that this market matters.

Microsoft is betting that the smartest model no longer wins.

Amazon is expanding its satellite network plans to include direct-to-mobile connectivity, and that puts SpaceX in its crosshairs.

Three users are suing Apple after losing more than $1.8 million to a fraudulent crypto wallet downloaded from the App Store. The case directly challenges Apple's long-held promise that its review process shields users…