@nasqret thank you for all the contributions! we’re starting to see the shape of what open multiplayer autoresearch loops can unlock. still more things to build on. h/t: @bbuddha_xyz
btw you are ahead of 83% of the solvers right now
https://t.co/RNSYwU0WG8
just heard the news about @om
i used to engage with his content often back in the day. his perspectives on startups and the human side of tech. learned so much from his blog and also his photography.
true twitter og.
his legacy lives on ❤️
For last 3 days, our objective has been simple: reliability and performance.
I'm excited to share with a lot of the improvements we've done to the load balancing algorithm and growth of the nodes to 340 machines (51kW):
We were able to achieve 99% uptime (from 89-90%). Absolutely exciting paradigm.
Few years back: you would have never related a distributed high-workflow network achieve this.
Welcome to the new era of computing!
Next objective: continue to improve performance and network utilization while maintaining 98%+ uptime
Christian Catalini on PostAGI. Verification is the only scarce resource.
Many people think it’s taste, agency or judgment. But these are just aesthetic descriptions of an underlying mathematical quantity: verifiability, the ability to verify whether an outcome meets a certain bar or improves on previous outcomes. Because what’s verifiable becomes optimizable by AGI.
In this 2nd episode of the PostAGI podcast, @soubhikdeb and I sit down with @ccatalini, founder of the @MIT Cryptoeconomics Lab, to discuss what happens to labor, capital and markets as AI scales.
We also get into:
02:41 The hollow economy, and why Amazon called an emergency meeting over AI slop
13:32 If it can be measured, it can be automated
16:55 Why AI hands you something that sounds right and is completely wrong
26:20 Why crypto built the infrastructure AI now needs
43:58 The missing junior problem, and why CS grads stopped getting jobs
59:12 The four zones that decide which jobs survive AI
Full episode below. @postagixyz is also on Spotify and YouTube.
darkbloom update:
- 1milly requests in total!! :)
- we hit ~2B tokens served this week;
- near 300 machines live on the network
- we're still early and there have been numbers floating around on how much you can make on darkbloom providing inference -- due to our early stage: we're conservatively sending requests and observing.
meantime: we have introduced an alpha program -- this will be base level incentive on top of your work. we will slowly take it off as we maximise the usage of the unused compute.
this week our focus is reliability -- scaling the requests, while keeping stability. a lot of bug bash.
thank you for tuning into our journey. there's also a surprise later this week!!
I didn’t expect my simple question, “Can my MacBook earn $423/mo doing inference?” to go viral and gather millions of views.
But the replies turned it into something much more useful: real payout reports, founder context, privacy/MDM concerns, heat and battery questions, demand reality checks, and how to test it without fooling yourself.
So I made a short slide video summarizing what the thread surfaced and what I learned.
Hope it helps anyone curious about trying it.
Wow. We closed in June 20th a little over 500M tokens served.
I guess, the next mark is 1B tokens in a day. We have found more efficiencies in the network where our providers can do 2x more capacity + concurrency.
The world's sleeping compute is waking up!!
By year-end, Darkbloom will process more tokens per day than there are stars in the observable universe.
I joined this past Monday as the first business contributor and are already seeing 40.7% average daily growth since we are integrated into @OpenRouter this past Monday.
Applying rigorous MBA-grade extrapolation, that's 8.5 times 10^29 tokens/day in six months — roughly a million times every star out there. Humbled to be early.
/s