Latest articles on AI, technology, and software development.
Lab efficiency for tandem solar cells has hit 34%, but the technology that could reshape panel economics is still stuck on durability and manufacturing yield, not power output.
AI data center traffic is overwhelming the internet exchange points that networks use to swap traffic directly, and the asymmetric load is breaking a peering model built for a more balanced era.
Riot's Vanguard, Easy Anti-Cheat, and BattlEye all run with kernel-level access on tens of millions of PCs, and attackers have been quietly repurposing that trust to disable security software since 2022.
Waymo is widening its Toronto service, inDrive is partnering with Pony.ai and Nvidia, and Tesla is pushing Cybercab, but the cost of running a robotaxi fleet mile by mile still does not support the valuations attached to these programs.
OpenAI is reportedly negotiating a round that would value it at $1.25 trillion. Set against its own revenue targets, that price implies a multiple public markets have never sustained at this scale.
Tracebit found that planting text designed to trigger an AI model's own safety guardrails inside decoy credentials stops autonomous hacking agents far more effectively than canary tokens alone.
Enterprise buyers are starting to ask vendors to prove their binaries can be rebuilt bit-for-bit from source, and SLSA gives procurement teams a checkbox to demand it.
On-device AI assistants, local transcription and photo editing live or die on NPU throughput and RAM, not the CPU/GPU scores that still dominate phone reviews.
Perpetual futures funding rates and open interest ratios reliably predict crypto's fastest crashes — long before the price chart shows anything.
The AI buildout's bottleneck has shifted from chips to permits, power, and credit — and the companies most exposed are the debt-funded neoclouds building capacity on spec, not the labs that rent it.
Dream-1 is trained on videos of humans doing everyday tasks and can control unfamiliar robot hardware with zero task-specific training — a bet that robotics' real bottleneck was never the hardware.
Modders reverse-engineered Nvidia's DLSS 5 Multi Frame Generation and got it running on Ada, Ampere, and even Turing GPUs — proving the Blackwell-only lock was mostly a software decision.