Buck Hodges

New art project. Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further. gist.github.com/karpathy/8627f…

If you use Microsoft Authenticator to autofill your passwords on your phone, you will need to download Microsoft Edge and set it up as an autofill provider because they are removing the feature from Authenticator in July. support.microsoft.com/en-us/account-…

The final phase of Super Heavy's landing burn used the three center Raptor engines to precisely steer into catch position

Mechazilla has caught the Super Heavy booster!

Liftoff of Starship!

Introducing Cerebras Inference ‣ Llama3.1-70B at 450 tokens/s – 20x faster than GPUs ‣ 60c per M tokens – a fifth the price of hyperscalers ‣ Full 16-bit precision for full model accuracy ‣ Generous rate limits for devs Try now: inference.cerebras.ai

The fourth flight of Starship brought us closer to a rapidly reusable future

It was incredible to watch this. Phenomenal accomplishment!

FINAL FOUR BOUND 🏜️

2024 ACC CHAMPIONS🏆

SURVIVE AND ADVANCE We'll see you tomorrow night!

This man is now worth $110B

You can now create and manage Azure Monitor Prometheus rules in the Azure Portal azure.microsoft.com/en-us/updates/…

Also, check out this... azure.microsoft.com/en-us/updates/…

Making Azure the Best Place to Observe Your Apps with OpenTelemetry techcommunity.microsoft.com/t5/azure-obser…

Laws to ensure AI applications are safe, fair, and transparent are needed. But the White House's use of the Defense Production Act—typically reserved for war or national emergencies—distorts AI through the lens of security, for example with phrases like "companies developing any foundation model that poses a serious risk to national security." Yes, AI -- like many technologies such as electricity and encryption -- is dual use in the sense it can be used for civilian or military purposes. But conflating AI safety for civilian use cases and military applications is a mistake. It’s also a mistake to set reporting requirements based on a computation threshold for model training. This will stifle open source and innovation: (i) Today’s supercomputer is tomorrow’s pocket watch. So as AI progresses, more players -- including small companies without the compliance capabilities of big tech -- will run into this threshold. (ii) Over time, governments’ reporting requirements tend to become more burdensome. (Ask yourself: Has the tax code become more, or less, complicated over time?) The right place to regulate AI is at the application layer. Requiring AI applications such as underwriting software, healthcare applications, self-driving, chat applications, etc. to meet stringent requirements, even pass audits, can ensure safety. But adding burdens to foundation model development unnecessarily slows down AI’s progress. While the White House order isn’t currently stifling startups and open source, it seems to be a step in that direction. The devil will be in the details as its implementation gets fleshed out -- no doubt with assistance from lobbyists -- and I see a lot of risk of missteps. I welcome good regulation to promote responsible AI, and hope the White House can get there.

Need better network visibility on your @Azure Kubernetes Service (AKS) clusters? The Network Observability add-on is just for you! Read and learn more about this here #AKS #AzNet #AzureNetworking azure.microsoft.com/en-us/updates/…

We have now GA'ed our hosted Prometheus offering as part of Azure Monitor. It was announced at Build while I was on vacation. This is a fantastic offering - you don't have to run Prometheus, we do it for you. techcommunity.microsoft.com/t5/azure-obser…

@johnterickson @davidfowl Indeed that is the case. Here’s a set of talks we did on how the Azure DevOps team works. @buckh/talks-on-how-on-engineering-building-azure-devops-77001fbf07f?source=friends_link&sk=9e0779ef8c3cbe865b42d9eb48983673" target="_blank" rel="nofollow noopener">medium.com/@buckh/talks-o…

@davidfowl Azure DevOps itself is dozens of microservices in a mono-repo. @tfsbuck did some talks about it IIRC @buckh/vsts-lessons-learned-doing-devops-at-microsoft-at-scale-990da0ca5653" target="_blank" rel="nofollow noopener">medium.com/@buckh/vsts-le…

Is anyone developing and deploying independent microservices from a single repository?

For more on reducing costs with Azure Monitor all up, have a look at this page. Optimize costs in Azure Monitor - Azure Monitor | Microsoft Learn learn.microsoft.com/en-us/azure/az…