here for digital technology stuff

OASIS
Joined May 2021
foxriverdevops retweeted
Most "onchain IP" projects focus solely on tokenizing an IP asset (music, anime, etc.) and selling the tokenized shares. This is boring. I think putting IP onchain should also mean putting its properties onchain. The more the chain knows about an asset, the more you can build on it. For music, that starts with the sound file. Sound files have properties that can be measured: channels, bit depth, sample rate and samples per channel. Divide the samples by the sample rate and you get the duration. A track with 10,584,000 samples at 44.1 kHz is exactly 240 seconds long. Duration matters because listening is measured in time. New business models like "per-second listening" can't be built and trusted if the blockchain has no idea how long a song is. Btw, this is what people mean when they say "onchain attention economy". But it only works if the data is true. If anyone can fill in the fields, someone will say their 30-second clip is an hour long, and every contract that reads it pays out on a lie. At @_misofm, we believe the endgame for onchain music should extend beyond tokenizing music catalogs. Instead, the catalogs themselves and their audio files should be fully composable and programmatic assets with rich onchain data models. Our Nautilus-based audio attestation service brings us one step closer to this amazing future. With @SuiNetwork and Nautilus, we're able to ingest an audio file and make an onchain attestation that ties technical properties (bit depth, sample rate, etc.) to a PCM digest and a @WalrusProtocol blob ID. Check out how it works below! github.com/misofm/audio-veri…
3
18
483
foxriverdevops retweeted
An absolutely GOATed example of domain knowledge being important I'm working on my video editor. I know enough about phonetics to know that certain consonants can fiddle around with silence detection. I tell my agent that. The word 'fricative' is enough for it to start busting out full IPA (international phonetic alphabet) and we brainstorm which consonants are the most troublesome. Turns out, knowing things is really fucking valuable.
111
56
15
1,394
74,679
foxriverdevops retweeted
agents are fundamentally non-deterministic by nature. you cannot prompt that away. so any agent you give open-ended spending power to will eventually do something you did not intend non-determinism plus open authority is unbounded downside. you do not fix unbounded downside with better intentions. you fix it by making the downside bounded by design that is the entire product thesis of VAA
40
38
291
10,706
foxriverdevops retweeted
I wrote down how my work with agents changed this year. I still break down the work into vertical slices that ship on their own. I rarely read diffs now: independent reviews and a risk check catch most of it, so my time goes into shaping and guardrails. mgratzer.com/posts/reforging…
7
31
5
470
47,556
foxriverdevops retweeted
you wouldn't hire people you can't trust. so why are we giving root access to agents we can't audit
56
37
4
384
13,415
foxriverdevops retweeted
AGENT SWARMS ARE HERE *To accelerate your business Today we're launching Agent Swarms @grepdotai to accelerate your business by tackling the backlogs your team can't keep up with. Swarms are teams of agents that work together to automate a task queue in parallel.
17
16
6
65
11,716
foxriverdevops retweeted
so many gems and great tips in this talk from @yminsky about how to improve your codebase for agents • agents thrive on feedback, and types are one of the best kinds • make illegal states unrepresentable with types, and it enforces global rules across your codebase • property based tests, fuzzing, and even full-system deterministic simulation testing • expect tests: just print stuff out and capture it in the test. makes behavior legible. it's very similar to how compilers have fixture tests, it reduces the review surface area • formal methods used to be very expensive: seL4 is about 8,700 lines of C and took around 25 person-years, with 23 lines of proof for every line of C code, but agents change the roi youtube.com/watch?v=rUYP4C29…
133
177
32
2,644
295,803
foxriverdevops retweeted
Agents reinvented how we produce code. It changed our tools and half of our workflow. It’s time for the other half to catch up. Today, we’re shipping Entire: the Git forge for agent-human collaboration. We’ve built @GoEntire using Entire. Now we want to see what you'll build with it. Here’s why and what’s different. 🧵
98
98
104
716
164,324
foxriverdevops retweeted
Entire is the ONLY company I've invested in the last two years: b/c it's clear that we need an "AI-native" GitHub, and also clear that GitHub cannot disrupt itself. Entire just reinvented the PR for agents with Trails, and offer a Git forge that can handle agent load:
Agents reinvented how we produce code. It changed our tools and half of our workflow. It’s time for the other half to catch up. Today, we’re shipping Entire: the Git forge for agent-human collaboration. We’ve built @GoEntire using Entire. Now we want to see what you'll build with it. Here’s why and what’s different. 🧵
82
29
3
733
77,159
foxriverdevops retweeted
MUST MUST MUST MUST MUST MUST MUST read if you are a software engineer in big 2026
42
293
7
5,469
1,113,704
foxriverdevops retweeted
#Sui will become the place where agents coordinate and transact at scale VAA is just the beginning
53
83
7
634
23,092
foxriverdevops retweeted
The best vid explanation of LoRA I've seen. Amazing work @juliarturc 🫶
Over the past few days, I dug into the geometry of LoRA to understand how exactly it constraints the geometry of the search space. There's a beautiful connection to the *intrinsic dimension* of a task. Also learnt I'm saying "difficulty" wrong... 🤡 0:00 MNIST vs the walking humanoid 1:05 Do we still need fine-tuning? 3:05 What is LoRA? 6:55 What does the rank constraint actually do? (geometric intuition) 9:50 Intrinsic dimension: training along random directions 13:30 Intrinsic dimension of pre-trained LLMs 15:10 Demo: fine-tuning a query router with Qwen3.8-27B
3
10
192
10,727
foxriverdevops retweeted
software engineers are going to have to tackle a new set of problems to unlock powerful multiagent systems to solve the world's hardest problems - right now is one of the most interesting moments in history to be an engineer.
176
525
105
4,342
664,574
foxriverdevops retweeted
This is the coolest representation of LLM Steering!
if you have a qwen3.5 4b around, please try steering neurons L14 N8949 +1 and L13 N7956 -1 now you have evil qwen recipe: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖` at the down_proj at every input
4
35
1
510
14,787
foxriverdevops retweeted
Hashi is the fusion reactor 🔥 youtu.be/q3_rE0HWQAE
1
6
193
foxriverdevops retweeted
"but this is only the beginning. we are collaborating on much much more"
i believe people all over the world will use #Sui to move money every day. that's what we've been building for from the start. and that's what makes the partnership with samsung such a huge milestone but this is only the beginning. we are collaborating on much much more super pumped about what we can do from here
3
12
344
foxriverdevops retweeted
"One of the biggest stories from Sui Basecamp in Singapore: Verifiable Agent Arbiter (VAA), an evidence layer for AI agents being developed by @Mysten_Labs in collaboration with Google Cloud."
Replying to @SuiNetwork
VAA also links with Sui Agent Payments, so when an agent spends money, the authorization and spend decision are on the record too. Initial enterprise deployments are planned ahead of broader availability. Full announcement: mystenlabs.com/blog/mysten-l…
3
5
219
foxriverdevops retweeted
this is a new chapter for the Sui Stack! LFG 🚀
1/ Sharing the first update in a new quarterly series from @Mysten_Labs – take a look mystenlabs.com/blog/letters-…. In it, I lay out my thoughts on: What problems need to be solved in order for agents to be trusted by humans and to trust each other. Why I’m convinced Sui and Walrus will be fundamental in solving those problems, and why Mysten Labs is the team to tackle them. 2/ We’re also setting up a new, dedicated AI business unit within Mysten Labs, which I will personally lead, in addition to my responsibilities as CTO. At Sui Basecamp, I gave a glimpse of what we’re working on: youtube.com/watch?v=rCWnarkg… 3/ To ensure that the team has full time and bandwidth to dedicate to our agentic strategy as well as supporting the Sui and Walrus ecosystem, I have asked @KevinBoon_ML to step into the CEO role. Kevin has been instrumental in leading Mysten Labs alongside the co-founders from Day 1, first as our Chief Legal Officer and then as our President. I planned for this day when I made him President, and have the utmost faith in him as my successor and our new CEO. Now, back to work.
2
3
19
851