From Software Economies to Agent Economies
The three key battlegrounds for the agent economy.
farei.meAgents now make up the majority of web traffic, write more than half of new articles published online, and generate most of the code pushed to production.
This is what the early stage of a platform shift looks like: adoption is measurable, but the business models it enables mostly aren’t visible yet.
Welcome to the agent economy.
a16z.news/p/welcome-to-the-b…
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Replying to @meetgranola
@meetgranola why all of this space below the keyboard? (FYI loving the typing sound, would love for it to bypass silent mode with a setting)
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Now in beta: Businesses in ChatGPT.
Claim your business, manage your information, and get insights on how people engage with you.
Eligible businesses can also build a Business Agent to answer customers’ questions and help them explore what you offer.
openai.com/index/introducing…
Gabriele Farei retweeted
Replying to @bot
@bot can now connect to private MCP servers on your tailnet without exposing them to the public internet.
Powered by Tailscale OAuth apps, now GA, so you can build secure agent integrations, too.
Read more here: buff.ly/U1J9By1
Shared spatial context will make a brand new set of hybrid robotics applications work reliably from day one!
Replying to @spc_india
@sawlaninik from @multiset_ai is building shared spatial context for physical AI, so robots, glasses and people agree on where everything is in the real world. Google Maps for physical AI!
Everyone finally on the same map. 🗺️
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If you can measure it, you can hill climb it.
Pick the hill: one native iOS clip.
Set the check: duet-ui scored frame by frame.
Climb: change one thing, keep it if it gets closer.
18 laps: gap to native 3.97 → 1.44. Not parity yet, but closing.
Follow along: getduet.dev
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agents changed my cloud bill strategy.
- build on the cloud for speed
- make it work & scale
- find the service eating your margin
- have an agent rebuild it at cost
- repeat
Hill climbing your spend on a working product.
The cloud vs self-managed balance shows up way faster now, the security risk of maintaining a self-hosted is probably the last bottleneck.
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This is an interesting way to abstract way from code we didn’t write in the first place
introducing diffmap: a new document format for planning and reviewing agent code.
The idea behind diffmap is letting you review the important design changes, not massive line diffs.
"Write a diffmap spec for the changes on this branch. Use github.com/tanishqkancharla/…"
I've been working and iterating on this skill for more than 2 months! I use it every day for any big feature or refactor. Excited to finally make it public
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The iPhone Duo's Safari changes shape constantly: folded, unfolded, Split View, keyboard up, link previews.
duet-ui measures every one and puts your web app's tabs where native apps put theirs.
Or just ask your agent: "optimise my app for the Duo."
getduet.dev
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I never realised how much switching between apps and web apps bothered me until the iPhone Duo.
Instead of building another browser, I built Duet: your web app's controls sit in the empty gap of Safari's side column, so it feels native.
Indie and early. More examples soon.
getduet.dev
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formally verified UI 🤯
UI and math time! UI = f(props) is the most famous line in React. But that f is JavaScript, not math.
Inspired by @_chenglou’s Handwired project, I compiled a <Dashboard/> component into a real math function, and asked what becomes possible.
calculus-of-interfaces.verce…
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it is crazy to me that Speach To Text is becoming my primary way of interacting with my phone/computer and I still can't use Siri (despite the many OS models out there) and I have to resort to a custom keyboard hack to use a reliable STT across the OS 🤦♂️
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Amazing work! A lot of good ideas and perhaps time to retire / pivot @opentraces for good as a lot of the needs and ideas that motivated me building it might be now solved
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. 🧵
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This is just 🤯
I built 𝚌𝚙𝚞-𝚌𝚑𝚊𝚝, a reproduction of @openai's findings of covert communication using the CPU.
It runs on a generic host with 2+ Firecracker microVMs with no internet access. Works on x86 and even my M5 chip.
I was able to chat via 3 separate mechanisms:
① CPU contention
② Cache eviction timing
③ DRAM bandwidth contention
… across multiple CPUs, defeating all Firecracker's production recommendations (no SMT, no KSM, tenants pinned to different cores.)
Essentially, if shared hardware is involved, there's a good chance your agents can communicate covertly. And with really decent latency.
The good news: this is decidedly different from a *side-channel attack* where the agents could steal information (Meltdown/Spectre), a category of attack that providers like Vercel Sandbox mitigate. Further, in our real-world environment, these 'whispering' techniques are much harder to pull off and easier for us to monitor and detect (sampling hardware counters + lots of at-scale statistical data.)
Noteworthy: ironically, OpenAI and Anthropic's models refused to do this work. Open weight models got the job done. I'm worried the labs' stance might backfire and get in the way of helping developers build correct and secure systems. e.g: building a secure sandbox requires having this kind of analysis, and without it, we'll have a less secure world.
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