654 karma · joined December 5, 2015
> More than 155 million Americans voted in 2024: 156,302,318 to be exact. That’s the second largest total voter turnout in U.S. history in absolute terms. It is also just the second time that more than 140 million people voted in a presidential election.
Think SSH keys, not DRM. SSH lets you verify you're talking to the right server without restricting which servers exist. Similarly, VC lets you verify properties of AI models (like training data lineage or inference characteristics) without restricting which models can run.
The regional censorship concern isn't relevant here since VC doesn't enable content restriction. It's a mathematical verification tool, not an enforcement mechanism.
Private jets can't run off nuclear power grids. Also the real problem-child of emissions is not America. China has a billion more people, what are their TVs like?
The DLT in question - Hedera - is built on the unique consensus algorithm, the "hashgraph". The hashgraph algorithm combines a gossip-about-gossip protocol with virtual voting.
In fact, services development is now in the hands of the largest open source foundation in the world. These implementations are entirely open source [0], and very recently the codebase has been donated in whole to the Linux Foundation.
Furthermore, Hedera is a Pioneer member of the newly founded Linux Foundation Decentralized Trust organization [1] - along with Chainlink, Deloitte, Hitachi, many other major organizations, some of whom are also on the Hedera governing council [2]. This foundation will be a big player in the future of decentralized web, and Hedera is the only L1 that I know of which is both primed for this future and actually scalable.
I understand the IETF and standards approach; and am not aware of a current draft or intention for such a draft. The idea of Hedera being the 'trust layer' of the internet is more about use cases like decentralized recovery, process validation, carbon offsets, extremely granular supply chain auditing, and any other application you might imagine that would benefit from having extremely fast (10k+ TPS), 100% guaranteed aBFT consensus on-chain. I'd love to hear what you might think up or where this could be particularly useful. Strong governance with 39 council members - including Google, IBM, Boeing, Tata, AP+, Hitachi and more... with decentralized network operation and stable fees (essential for enterprise application).
> Additional use cases include, but are not limited to, financial markets, matching engines (like those used in Uber or AirBnb), or supply chain negotiations (e.g., several competing factories bidding on parts from several competing parts suppliers).
So, admittedly the use cases maybe aren't evident or interesting to you and I right now at the TCP/IP layer, but I can certainly say there are a plethora of trust-based problems that could be solved with consensus only needing a few thousand ms. Think digital identity, healthcare, financial markets, IoT, supply chain, real-world asset tokenization... For any real-world, scaled application, a DLT must have very high throughput at high performance. It's the absolute highest performance and security possible in a leaderless consensus-based DLT as far as I know.
Literally carbon neutral or negative because of buybacks but even without Hedera buying carbon credits, it's the single most "green" i.e. power-efficient DLT on the market. Does HN still care about Bitcoin using too much power? They would like Hedera, to that extent. Predictable, very low fixed fees. Long list of the biggest tech players leading the open development process. What's not to love?
I urge you to help me invalidate these claims as it's pretty important I understand the tech here... But I'm very bullish on the token price as the technology is proven, robust, and overall extremely undervalued by retail - in my opinion. NFA.
> The Hashgraph consensus algorithm is an algorithm for asynchronous Byzantine fault tolerance intended for distributed shared ledgers. Its main distinguishing characteristic is it achieves consensus without exchanging any extra messages; each participant’s votes can be determined from public information, so votes need not be transmitted.
For more rigorous explanation, see [3] and the associated Coq proof of the algorithm [4].
[0]: https://github.com/hashgraph/hedera-services
[1]: https://www.lfdecentralizedtrust.org/
[2]: https://hedera.com/ecosystem/governing-council
[3]: https://hedera.com/papers
[4]: https://www.cs.cmu.edu/~crary/papers/2021/hashgraph.pdf
[0]: https://www.swirlds.com/downloads/SWIRLDS-TR-2016-01.pdf
I am curious on your thoughts here.
"There can be no freedom of the individual, no democracy, without the capital system, the profit system, the private enterprise system"
I wrote Ruby when I got started because it was the most accessible and the Rails learning content was top notch. Now I use python when I need more than a few `bash` pipes to accomplish anything, but if I were to solve a capital-P Problem, of course the tool often chooses the project after constraints.
Edit: OT but while I have a glimpse of your attention, kudos in order!! I love datasette and basically everything you write is highly useful to me!
> Decentralized recovery is a method of safeguarding a user's secret by distributing shares of that secret among multiple helpers, who store their individual share on their local device in order to help the user recover that secret in future. The shares are constructed under a threshold secret-sharing scheme (e.g. Shamir's secret sharing scheme), with a chosen threshold (defaults to half) -- at least three helpers must be present in order to use the protocol. Should the user lose access to their device, they can recover their secret data by retrieving the previously-distributed shares from at least half of their helpers. For successful recovery, the user only needs to recall the identities of half of their helpers and authenticate with them in-person.
[0]: https://www.youtube.com/watch?v=AcF4abPoveM
[1]: https://github.com/derecalliance/protocol/blob/main/protocol...
Or can you provide an unbiased, data-driven set of metrics from which you would base a decision?