Lots of AI angst centers on the unique capabilities of humans. Historically rhymes with the Copernican revolution where we discovered the Earth isn’t the center of the universe. It’s a profound shift in our self conception in both cases.
Most people thought flat data center networks would never work at hyperscale.
The @awscloud team figured it out.
Resilient Network Graphs are a completely new network architecture, now live.
33% better throughput, 40% less network power.
https://t.co/LEaIItVqe9
Tensorlake is leading the @computesdk benchmarks. We have been focused on building a best-in-class sandbox infrastructure platform for agents, pairing high performance with the flexibility to support everything from agent harnesses and RL environment simulation to stateful VMs for coding agents.
We built a cluster scheduler optimized for stateful sandboxes that can make thousands of placement decisions in under 5 milliseconds. It achieves this performance using copy-on-write indexes and replicated state machines.
The remaining ~200–250 milliseconds are spent issuing a command to the data plane, creating a disk, and bootstrapping the rest of the VM infrastructure.
Tensorlake is also exceptionally fast at resuming suspended sandboxes, waking from sleep in 1–2 seconds. This enables coding agents to install dependencies, do their work, suspend to release compute resources, and resume quickly to start new tasks without reinstalling dependencies or re-downloading artifacts.
Tensorlake also includes a high-performance sandbox file system, which speeds up compilation for CI and coding workflows, and improves simulation performance for environments that run databases and similar services inside the sandbox.
By the time you are losing @mitchellh, you have to assume @github has destroyed an incredible amount of community goodwill. Setting aside the lack of vision, the uptime alone is unacceptable.
Ghostty is leaving GitHub. I'm GitHub user 1299, joined Feb 2008. I've visited GitHub almost every single day for over 18 years. It's never been a question for me where I'd put my projects: always GitHub. I'm super sad to say this, but its time to go. https://t.co/DQDemHdytV
@cody251 When Starbucks lays off their Seattle employees and opens roles in TN, I guess we will find out! Last I checked the Boeing plants in SC have employees and they build planes. Jobs that otherwise would have been in WA.
What a disaster. CA has good weather and vibrant tech ecosystem, and NYC has world-class amenities. WA comparative advantage was the tax regime, and now they've eliminated that. Sane founders would rather be in SF/NYC given the marginal delta in taxes and megacorps will relocate.
I just signed the Millionaires' Tax into law.
We're rebalancing our unfair system while providing free school meals, the largest small business tax break in state history, no sales tax on baby diapers, and checks to nearly 500,000 working families to make life more affordable.
@VijayInWA@stevemur In trying to maintain the "not a tax" LT gain tax, the structure and language is very poorly done and complex. Bigger issue is the direction of travel is clear, it will get worse before it gets better. Spending will grow and at the next shortfall the thresholds will change.
@reddyac WA has failed to show they can effectively spend the money they already collect. Revenue has grown much faster than inflation or population growth. Instead, it all goes to NGOs, consultants, and pet projects. Look at the outcomes for education, infrastructure, etc.
This Friday is my last day at @HashiCorp, after nearly 13 years, all starting with @mitchellh and a crazy dream. I'm thankful to all the amazing investors, employees, customers, partners, and community members who joined for the ride, it's been a blast! https://t.co/VIgxfQkUrq
Really interesting interview with @martin_casado and @vishalmisra (CS prof) on the Bayesian nature of LLMs and what that implies. Great if you want to build an intuitive understanding!
Conversation with @vishalmisra where he goes into detail of how LLMs are *exactly* Bayesian. He demonstrates this both empirically and formally.
This is foundational work on the capabilities (and limitations) of LLMs.
https://t.co/5FtqCYXhZA
It's fun to be back in SF and see the energy and spark in the city again. Very noticeable the change from a year or two ago. City feels more vibrant, safer, and cleaner.
@vivekramaswami Thanks for sharing! Agreed both can be wrong/overcorrections. Long term, question is if SaaS can maintain 80%+ margins when cost of building software drops by 100x.
It’s interesting to see the extreme disconnect between late stage private valuations and public software companies. Privates still doing 10-20x revenue while public companies dropping to 2-4x.
The Gell-Mann Amnesia of using AI is real. On topics you know better, you can call BS and mostly the response agrees the initial answer was non-sensical. But then we blindly trust the output on domains where we lack subject matter expertise...