
Decentralized AI for Web3. Enabling multichain model deployment, cross-chain synchronization & ZK-protected intelligence. https://xitter.gq/t.co/aIcMzKZBtB $XMD
SyncMindLabs
Joined February 2024
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SyncMind | Multichain AI retweeted
welcome @ona_hq to the team, to help organizations deploy agents securely in production!
We’ve reached an agreement to acquire @ona_hq.
Its secure cloud execution technology will help Codex take on longer-running work, even when laptops are closed, and help more organizations deploy agents securely in production.
After closing, Ona will join OpenAI’s Codex team. openai.com/index/openai-to-a…
View the cards 👇🏼
gemini.com/predictions/categ…
SyncMind | Multichain AI retweeted
This week, @BernieSanders warned in the @nytimes that a handful of billionaires could determine the future of humanity through the rise of AI.
So, today, @rkbaggs sat down with Dr. David Minarsch (@david_enim) of @autonolas to discuss AI's role in our future. 👇
#CHAINREACTION
SyncMind | Multichain AI retweeted
JUST IN: Traditional financial firms are rapidly embracing crypto, Axios reports.
SyncMind | Multichain AI retweeted
Good take
My guess is
- demand for intelligence is near infinite
- but 80% of workloads will be running on 99% cheaper models within 12-18 months
- 20% of workloads will still run on latest gen models where IQ maxing is important (scientific breakthroughs, higher level ochestrator agents?)
- rough analogy might be what % of macbooks or gaming PCs sold have the maxed out specs for CPU/GPU, prices are falling much faster than Moore's law here though
- this leads me to think the limiting factor will be energy and compute, not better models
At Coinbase we're working hard on routing prompts to cheaper models where appropriate, and in some cases have been able to keep costs roughly flat, while token usage continues to grow exponentially.
The most basic way AI could blow up imo. I'm not saying it does but this is the most obvious way I can see it happening
- Per seat subscriptions are massively subsidized. The flat fee was priced way below what heavy usage actually costs
- For real business use you have to move to the API anyway. Data protections, work integrations and compliance officer approval
- On the API you pay metered rates, and businesses are burning credits way faster than the per seat pricing ever led them to expect
- This is everywhere right now. Internally for us, Codex users, Uber torching its entire 2026 AI budget in 4 months, the Microsoft comments. Just go try an API
I shared more on this here: xitter.gq/Shaughnessy119/status/…
- And I don't think most businesses have the money to keep paying increasing API rates without a real change to how they operate (caps needed)
- Because they have a cheap alternative. They can reach open source models through any aggregator (OpenRouter, Venice, Baseten, Together) and still get strong privacy. Venice private data centers, or E2EE/TEE serving GLM 5.1.
More on open source inference provider raises here: xitter.gq/Shaughnessy119/status/…
- And the discount is enormous. DeepSeek V4 codes within a hair of Opus on SWE bench at roughly 1/30th the price, and the cheapest open models run closer to 1/100th
- Chinese labs open source frontier grade models. The model is the single biggest cost an inference provider has, and they get it for free
- This idea dies if China goes closed source. That is actually bullish web2 AI labs, because if everyone is closed you pay up for the best intelligence. China goes closed source if they are tired of giving away an asset and they want the revenue and data flow to train new models
- Is this showing up in web2 AI lab revenue yet? No. Revenue is off the charts. Anthropic went from 9B to 47B run rate in five months
- So go forward, what happens?
- I think revenue slowly starts leaking to the open source inference providers (see Venice usage, OpenRouter's $113M raise, Baseten is raising at $11B or triple its valuation in three months, on revenue that went from $200M to $600M annualized in a single quarter)
- It doesnt move overnight, but it caps the labs ability to raise prices, and margins are already deeply negative. OpenAI is reportedly running near negative 122%
- With margins that bad there is no cash flow, so the labs are fully dependent on outside capital to buy GPUs, train models, and keep subsidizing usage (I.e. see Google tapping $80b equity sale, granted 30b for employee RSU taxes. Clearly they think Equity is overvalued or you wouldn't sell it)
- The break comes when that capital stops. Pricing is capped so margins cant improve, and the moment investors lose conviction on payback, the whole flow reverses
- Why would they lose conviction on payback? Back to the start - the inability to improve margins or get businesses to pay more
- This is also limiting, if we start making new drugs with AI or create entirely new businesses, you better believe people will pay up to the max for AI usage
Despite the large liquidations and a 26% drawdown, $BTC deposits to exchanges are climbing.
Reserves back to 2.72m, reversing months of outflows.
Previous drawdowns that marked local bottoms saw coins moving off exchanges.
This one did the opposite.
xitter.gq/bitfinex/status/206281…
$BTC just saw its second largest liquidation event since 10/10.
$1.84bn in crypto positions wiped on 3 June, $883m in BTC longs alone. 272,000 traders liquidated.
The leverage that built up through May has come out in a single sweep.
SyncMind | Multichain AI retweeted
6/ High-quality data and advanced blockchain analytics offer two key opportunities for the UK's stablecoin regime:
1️⃣ Enable firms to prevent harm, not just report it 2️⃣ Make supervision more efficient and data-driven
SyncMind | Multichain AI retweeted
JUST IN: $199 billion VanEck's Matthew Siegel on Bitcoin: "We think this will become a mainstream asset that will compete with other reserve settlement currencies" 🚀
SyncMind | Multichain AI retweeted
This is the generational buying opportunity level for #Bitcoin.
It's back to the lows and will likely sweep those, however.
- Daily RSI is the lowest ever recorded.
- Sentiment is the worst I've seen in a long time.
- ETH Daily RSI is the lowest ever recorded.
- 200-Week MA.
Historically the right time to be looking to scale into positions.
If you were interested in #Bitcoin at $90,000, then this is a bargain to buy on.
#Bitcoin is at a pivotal level, and if it doesn't hold, we're buying at <$65K.
I don't think we'll see new lows.
That would put Bitcoin beneath $61K and that's where the 200-Day MA is at, doesn't make sense to go deeper as it doesn't happy in any market cycle.
However, this structure is different than the previous breakdown in February.
The reason for that is that during February, the range resistance didn't hold as support.
Right now: The $71K area remains to be a crucial support level and that would be required to hold in this particular zone in order to prevent any deeper corrections, in my opinion.
If that happens, we're looking at a case at $61-65K to be buying generational opportunities for #Bitcoin for the coming years.
If this holds, then the second part is to be breaking through $76.6K.
If that breaks, new highs are around the corner and we're likely going to see a strong #Altcoin summer.
SyncMind | Multichain AI retweeted
"AI agents will hold more crypto than humans within a decade."
Charles Hoskinson (@IOHK_Charles) studied math, dropped out, built one of the only blockchains designed by peer-reviewed research. He co-founded Ethereum, walked away over how it was run, and built Cardano to do it differently.
The man who has argued with everyone in this industry now thinks the biggest user of crypto won't be people at all.
"Humans are a rounding error in the system we're building. AI agents don't sleep, don't panic-sell, and don't care about price. They transact in tokens because that's the only thing they can actually use."
We cover:
- Why AI agents (not humans) become the dominant on-chain actors, and what that does to every token model
- The infrastructure that has to exist before agents can transact safely at scale
- Why most current blockchains can't handle machine-speed transactions
- Where Cardano's research-first approach fits in a world of autonomous agents
- The identity problem: how do you tell a human from an agent on-chain, and why it matters
- Why he's bullish on the technology but blunt about the timeline
- What he thinks the rest of the industry is getting wrong about AI + crypto
- The one thing that has to happen for any of this to be real
Thanks to Charles for coming on @new_era_finance.
TIMESTAMPS:
00:00 - Intro
01:30 - Why AI Agents Change Everything
06:30 - Humans as a Rounding Error
12:00 - The Infrastructure Gap
18:30 - Identity: Human vs Agent On-Chain
24:30 - Where Cardano Fits
30:00 - What The Industry Gets Wrong
34:00 - The Timeline Nobody Wants To Hear
SyncMind | Multichain AI retweeted
>1,000 enterprise merchants on @Checkout can now accept USDC and USDT, powered by Coinbase Payments.
Stablecoins are the cheapest, fastest way to move dollars globally. The more ways for people to pay with them, the better.
Stablecoins, meet checkout.
@Checkout is rolling out stablecoin acceptance to all eligible enterprises in their network of 1,000+ merchants.
→ USDC + USDT
→ USD settlement
→ No crypto integration required
→ Live across nearly 50 countries
All powered by Coinbase Payments.
SyncMind | Multichain AI retweeted
We just rolled out our fully updated SERV documentation, making it production-ready for all builders.
Everything is in one place:
• How the SERV Reasoning Engine works
• API documentation
• SDK setup guides
• Full Roadmap
Check it out below.
docs.openserv.ai/
You ever notice how most ‘AI crypto’ projects are just APIs with a token slapped on?
We built $XMD so your AI doesn’t live in some VC’s cloud - it lives on-chain, syncs across chains, and answers only to your wallet.
Not a dashboard. Not a middleman. Your agent. Yours.
That’s the point.
SyncMind | Multichain AI retweeted
disagree. the irony is smart contracts enable apps that are way more secure than whats possible without
the problem is many projects produce low quality slop code, VCs/influencers pump, and users yolo in
its not a defi problem, its just AIs good enough to sift through slop
Anthropic Opus 4.8 is new SOTA on ARC-AGI-3
Score: 1.5%, ~$10K
ARC-AGI-3 analysis notes:
* Opus 4.8 read the environment an abstraction *above* Opus 4.7, as objects & systems, not pictures
* Opus 4.8 succeeded on early levels, but still committed to a wrong sub-goal
SyncMind | Multichain AI retweeted
Why is getting the crypto market news you need so difficult?
Crypto alerts are more noisy than useful. Manually monitoring the market eats up time.
There needs to be a way to cut back weekly noise to only the alerts you care about.
Agentic monitoring brings power to control the crypto market news you consume.
All it takes is a simple prompt about the assets and news related to them you want to monitor.
Setting agentic rules enables you to place your own targets without needing to handle complex setups.
Agentic Monitoring brings critical events in crypto into your workflow.
From Mobile Push to Monitoring across latest regulator and security updates, watch how @diran_li uses Messari Monitoring to power his day.
SyncMind | Multichain AI retweeted
The headlines after a DeFi hack tend to blame decentralization. @eddylazzarin makes the case for the opposite read:
"Of the hacks that I looked most closely at over the last 30 days, many of them would've been mitigated by more decentralization, not less. In other words, the decentralization part wasn't the bug. The bug was that they were unexpectedly more centralized than many people believed."
"With almost every crypto adjacent hack I've seen, the response has something to do with let's get more parties involved and decentralized and remove single points of failure."
"We have not learned that decentralization is bad. What we've learned is that inadvertent single points of failure is bad, which is a thing that we've always known. In its ideal form, DeFi is still more secure."
Following a string of major DeFi exploits, we unpack what's driving the recent rise in hacks across crypto.
a16z crypto GP Eddy Lazzarin and security engineer Matt Gleason join host Robert Hackett to take a closer look. Their argument: AI is not introducing entirely new vulnerabilities. It's making existing weaknesses easier to identify and exploit. The question is whether defenders can evolve as quickly as attackers.
00:00 Intro
00:57 The surge explained?
01:37 Did attackers use AI
04:19 How AI can help defend against attacks
09:16 The doomsday marketing debate
17:17 DeFi transparency: opportunities and challenges
21:00 Social engineering and how to stay safe
@eddylazzarin @rhackett
You ever watch a smart contract do something weird… and wish your tools could tell you why before you lose your bag?
That’s not sci-fi. That’s SyncMind.
We’re not just piping data - we’re building AI that gets on-chain behavior.
And yeah, it runs on $XMD.
Bill Gurley on Anthropic: "I would encourage people to read as much as they can about Anthropic. I don't think they think they're writing software. I think they're midwifing a deity."
Jason Calacanis: "They believe they're so powerful that they can create God."































