Scientific breakthroughs demand infrastructure that performs at the highest level.
From Frontier, the world’s fastest supercomputer, to LUMI and Discovery, AMD and @HPE bring supercomputing design and high-performance compute together to help researchers push boundaries in climate science, drug discovery, fusion energy, and AI.
See how the most trusted companies trust AMD: https://t.co/EhuzkaJ3LD
Benchmarks tell you what’s possible. Production tells you what’s real. The gap between a "clean run" and a scaled pipeline is where most AI projects hit a wall. We’re closing that gap with CoreWeave ARENA—a production-ready lab for real-world workload evaluation.
Why run in CoreWeave ARENA?
🔹No more guesswork: Test on real infra, not synthetic sims.
🔹Expert-led: Work alongside CoreWeave engineers to tune and iterate.
🔹Full Visibility: Mission Control + Grafana + W&B integrated from Day 1.
🔹Production-Ready: Support for CKS (Kubernetes) and SUNK (Slurm).
Don’t commit to a rollout plan on faith alone. Validate the performance, scaling, and cost of your workload before you pull the trigger.
Check out the launch details here: https://t.co/l1nyjaxorE
This is big... Anthropic just announced a model so powerful they won't release it to the public out of fear over the damage it will cause 😨
Claude Mythos Preview found thousands of zero-day exploits in every major operating system and web browser...
The numbers are hard to believe:
> $50 to find a 27-year-old bug in OpenBSD, one of the most security-hardened operating systems ever built
> Under $1,000 to find AND build a fully working remote code execution exploit on FreeBSD that grants unauthenticated root access from anywhere on the internet
> Under $2,000 to chain together multiple Linux kernel vulnerabilities into a complete privilege escalation exploit
For context: these are the kinds of findings that previously required elite security researchers working for weeks.
Anthropic engineers with no formal security training asked Mythos to find exploits overnight. They woke up to working code the next morning.
The results were so impressive Anthropic assembled Apple, Google, Microsoft, Amazon, NVIDIA, and seven other organizations into Project Glasswing:
A $100M defensive coalition. They're not releasing this model publicly. Instead, they're racing to patch the world's infrastructure before models like this proliferate.
This isn’t incremental — it’s a shift.
Running a 100B model on a CPU collapses cost, infrastructure, and data barriers at once. If this holds, AI moves from cloud to edge.
The real question: what gets built when every device can run serious models locally?
Big door just opened.
xAI is committed to deploying artificial intelligence that makes the lives of people better as well as adding more power near our datacenters to reduce the cost of energy for the American people
@KobeissiLetter Energy markets showing us how fragile global supply chains really are. This is going to ripple through way more than just heating bills.
@DSBatten@dari_org The data is finally catching up to what the operators have known all along. Flexible load demand changes everything for grid economics.
Interesting prediction. The real challenge will be making sure these systems are accurate, reliable, and trusted before they replace critical professional work.
CEO of Microsoft AI Mustafa Suleyman joins FT editor Roula Khalaf to explain why most of the tasks accountants, lawyers and other professionals currently undertake will be fully automated by AI within the next 12 to 18 months https://t.co/yYKzS7NIOP
@nikitabier The threat scales with AI, but so can the defenses.
As AI scales outreach, identity verification, trust layers, and infrastructure-level safeguards will need to scale just as aggressively. Abuse is a systems problem, and systems can be redesigned.