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The good. The bad. The ugly. $DAG Reply below with questions you want answered in an upcoming AMA.

Top-30 validator list is set Ranked by delegated $DAG How the top 30 works after that is still open in the Stardust Collective Discord Current discussions - Collateral: the 1M DAG requirement, and whether it locks with a 21-day unlock - Ranking: how eligible validators are ranked by delegated DAG - Snapshot frequency: how often the ranking refreshes (every three months today) - Commissions: the proposed 10% for active operators - Emissions: inflation from 6% to 2%, and how that 2% is split - Stardust governance: who can join and help make these decisions October 15 locks the first 30 Everything after that how often the ranking moves, what the 1M does and how the smaller emission pool is split is still open

$DAG +10% Why is everyone buying a dead token?

Panasonic is celebrating 30 years of TOUGHBOOK in Vegas this week Their own blog just laid out the problem that comes with that success A TOUGHBOOK in the field can be stolen, hit at the firmware level or cut off from the cloud Network security doesn't help a device that can't reach the network Panasonic says endpoint security now has to report unauthorized changes and support incident response even while the device is disconnected That's the problem Constellation set out to solve with Panasonic In October 2024, Panasonic brought Constellation into its XCELERATE developer program to validate data at the device level with less reliance on the cloud Pair that with six years of DoD work through Iron SPIDR and the fit with rugged federal hardware is obvious The question is when it ships $DAG

$DAG + 17% A lot of people are upset about Constellation shutting down PacaSwap, Lattice and its Web3 side. I get it. What's working is the job Constellation was built for: data integrity. That's what the network is now focused on. Government work is ongoing. Last week Lithuania's Ministry of Economy and Innovation named Constellation as one of two companies its minister met in the U.S. calling it "a developer of secure data transmission and data integrity solutions." Enterprise is real too. Dôr runs in 2,000+ retail stores and just launched Patient Journey with Proactive MD, which operates 80+ health centers. Gate AI is live and it's opening to people who get paid in DAG to run AI on their own GPUs. Panasonic is still in progress, per Diggles. On @CommonCrawl I don't know where it stands and the community deserves an update. I'm asking. Emissions are getting tighter. I sit on the Stardust Collective, which is working with Constellation on the new schedule right now. I'm pushing for inflation around 2%, with more of the rewards going back to the people staking DAG. Since the remaining metagraphs are all run by Constellation I don't think a share of emission should be set aside for staking to them. Send it to the delegators who support the network. One more thing: some accounts that have been silent for years are suddenly asking for your delegation. Before you move your DAG, look at a validator's history not just its pitch. DAG has more to bring to governments and enterprises than it had in 2021 and I want token holders to share in that.

$1.35 billion was stolen from DeFi in the last year, according to DefiLlama That number is a big part of why Constellation closed PacaSwap and went all in on data integrity and AI AI lets anyone point a swarm of agents at open code and find a bug in hours PacaSwap was exploited twice in a few weeks A small team can't win that race with other people's money on the line The node cut follows the same logic ~400 to 500 nodes across mainnet and two test networks were supporting a handful of active metagraphs....all paid from emission Trimming mainnet to 30 validators and ending test network rewards is what lets inflation fall from about 6% toward a target of 2% Running a node used to take 250,000 DAG, a server, a spot on the allowlist and months on a waitlist Ao only a few hundred people ever had one The inference network opens rewards to everyone else If you have a Mac/PC with 32 GB of memory or a GPU with 16 to 24 GB of VRAM that machine can serve AI models to Gate customers overnight while you sleep and you earn $DAG for the work There's no allowlist and no cap on who can join If you'd rather not run hardware delegated staking stays You can still delegate DAG to the validators and share in the rewards For holders asking why DAG still matters Every request a Gate customer sends to the inference network is paid out to operators in DAG That gives DAG a job tied to real revenue while inflation heads down I came to Constellation in 2021 because someone told me that if I liked Palantir then I should look at a network built to verify data at the source This is that network with DAG at the center Meanwhile the data integrity work keeps moving Last week Lithuania's Ministry of Economy and Innovation named Constellation "a developer of secure data transmission and data integrity solutions," Yes Constellation's work with Panasonic is still in progress $DAG $AIAI

$QNT is pumping and 4th most talked about Crypto. Time to dust off "ISO 20022" and shill XRP, XLM, HBAR, ALGO, ADA, IOTA, XDC for max farming. BTW.... No such thing is ISO tokens

AI needs blockchain, badly. Dr. Greer's piece shows why. Reward agents for a passing score and some learn to work the scorer instead of the task. His fix is resistant evaluators, independent checks and transparent records. Look at the chart: transparency and accountability are on it for a reason. The weak point in most AI systems is who keeps the record. If the agent, or the company running it, holds the only log, that log can be worked too. A record anchored to a public ledger can't be quietly edited after the fact, and anyone can check it without trusting the party being audited. @Conste11ation , an AIAI portfolio company, already runs this. Every request through Gate AI writes a hash-chained audit event anchored to Digital Evidence. The data carries its own attribution: what came in, which model handled it, what went out. Blockchain won't make a model honest. It makes it provable when a system lies about what happened. That's the part of Greer's list most AI stacks are still missing. $AIAI $DAG

hedera-hashgraph:native totally absent in the global AI discourse. EQTY Lab put verifiable compute on NVIDIA Blackwell over a year ago, expanded it again at GTC this March. Real infrastructure, real enterprise partners, audit trails anchored to HCS. Hedera's network is doing real numbers too, transactions at all time highs, 290,000-plus a day. None of it moved HBAR. Price has spent much of this year in the same narrow band while that activity was climbing. This isn't a Hedera problem. This is the actual test every L1 is failing right now. You can build something genuinely real and still watch the token capture none of it, because usage and demand turned out to be two different problems. I'll say the obvious before someone says it for me. Constellation is in the same fight. HGTP has real infrastructure and constellation-labs:native has not converted that into demand at the level anyone building it would want. Pretending otherwise helps nobody. The question worth asking right now isn't whose tech is better. It's which of these networks actually designs for token demand instead of assuming usage creates it on its own. That's the soul searching moment this whole sector is in.

Here's the assurance people keep asking for on $DAG and it isn't a chart. @BenJorgensen article names three pillars AI needs: Security Auditability Cost savings @Conste11ation didn't invent those for this post. Iron SPIDR is a network built around exactly that. Every communication event immutably notarized. Provable source attribution instead of a username and password. Running alongside existing infrastructure instead of ripping it out, which is the cost savings part people skip past. This isn't new information. It's been sitting in plain sight. Now watch where that foundation actually lives. Constellation Network is a named portfolio company inside @aiaiholdings $AIAI a NASDAQ-listed holding company with a $100M-plus revenue bar for acquisitions, audited financials required and $272M in combined 2025 portfolio revenue already on the books. The model deploys AI into a company in 4 to 6 months instead of years of outside licensing, and keeps existing management in place while doing it. That is where the Iron SPIDR foundation is showing up as product. @_GateAI cut Rocket Resume's AI costs 23%, live, today. @DorTechnologies runs in 2,000+ locations and now tells operators exactly where they are understaffed instead of leaving them to guess. Not pilots. Paying, working deployments inside a public company with audited numbers behind it. DAG is the layer running underneath all of it. Watch AIAI.

People have asked since 2024. Greg Lindahl, Common Crawl CTO, answered it: the $DAG hash integration did not happen. Their April 2025 blog still said later that year. That was the last official line.