Wait, what if are made an AI that was also a blockchain based NFT? We could scam so many venture capitalists
Talk about improving our synergies!
Gotta chase that Alpha!
We'll verify every state of the neural network on the blockchain, for reasons, all of them good ones. It'll pay for itself by allowing people to invest and buy those unique states. :v
In the metaverse!
You mean "innovate greatly", right? /s
- Is the picture from Tiktok? > yes
- Is the platform you're reposting on vertical too? > no
- > remove black bars
No, the better solution is to add more black bars to the side so that it fits on to a wide screen.
Can someone explain this joke in programmer terms?
I just wrote an AI that is trained to classify image patterns and automatically creates bitmasks based on the pattern distributions. We tried k-means clustering and got garbage. How would I have done that without AI?
The current hype trend is to build a lazy web UI around a general agentic AI and calling it a day.
What you're doing is more similar to what established firms were already doing with machine learning 5 years back.
—> Yes. —> No, you don't.
I thought we were doing ai now
wait, what if we created a neurotechnological device powered by AI that'll read your mind and speak to people instead of you?
Even I know that.
A surprisingly high number of techbros doesn't though.
That's because they're fucking idiots.
I hate this so much because it's absolutely false. Nobody needs cryptocurrency. But Blockchain has very real value that has nothing to do with currency, grift, or "proof of work". Blockchain is NOT synonymous with crypto and the fact that everyone believes it is shows exactly how much damage the grifters have done :(
EDIT: Haters gonna hate. Hope everyone who down-votes reads the replies too.
EDIT 2: Here you go,, everybody. I did the research for you....
Supply chain management
- Food safety: Companies like Walmart and IBM Food Trust use blockchain to track food products from their source to the store shelf. This allows for a swift, precise response to contamination by tracing affected items, potentially saving lives and reducing waste.
- Logistics and shipping: Shipping giant Maersk has partnered with IBM to create TradeLens, a blockchain platform that digitizes and automates shipping documents and processes. This increases transparency and efficiency across the global supply chain.
Healthcare and medical records
- Secure data sharing: Blockchain can create a secure, interoperable system for storing and sharing patient medical records. Patients can use private keys to control who accesses their sensitive data, ensuring privacy while allowing authorized providers to get the information they need.
- Pharmaceutical tracking: The MediLedger Project uses blockchain to secure the pharmaceutical supply chain, verifying the integrity of drugs and reducing the risk of counterfeit medications.
- Clinical trial management: Platforms like TrialSite use blockchain to record clinical trial data securely and transparently. This helps maintain the integrity of results, building greater trust among researchers, regulators, and participants.
Government and public services
- Land and property records: The government of Georgia has used blockchain to secure land and property records, creating an immutable and transparent public record. This reduces fraud and ensures the integrity of land titles.
- Voting systems: The mobile voting platform Voatz uses a blockchain-based system to enable secure, transparent mobile voting for eligible service members and travelers abroad. This provides a resilient solution against fraud and data corruption.
Finance (non-crypto) and banking
- Efficient transaction processing: Financial institutions like the Singapore Exchange Limited are using blockchain to streamline interbank payments. This reduces manual reconciliation and enables more efficient processing of thousands of transactions.
- Supply chain finance: TradeIX uses blockchain to provide a transparent platform for supply chain finance, automating processes and streamlining transactions.
Education
- Credential verification: Learning Machine uses blockchain for the secure issuance of digital diplomas and credentials. This provides a more trustworthy and efficient method for verifying academic achievements.
Intellectual property and media
- Transparent ticketing: Companies like Guts use blockchain to create a transparent ticketing ecosystem that eliminates ticket fraud and the secondary ticket market.
Energy and utilities
- Peer-to-peer energy trading: Homeowners with solar panels can use blockchain-based platforms to automatically sell their excess energy to neighbors. Smart meters record the transactions on a blockchain, automating the entire process.
I'd go the other way. Crypto has uses, and crypto works better when built on other Byzantine-resilient systems.
Most of your examples still would work better with a conventional database, because there's an obvious trusted party and/or privacy needs.
Of course, if there's a trusted party a conventional database is better. But that's like saying that umbrellas are useless because it's often sunny outside. Having or not consensus (or a trusted party) is usually not a choice, it's an imposition. Conflicting interests exist and it's difficult to work around them.
Using Blockchain in these situations provides clear advantages. The whole point is removing the need for trusted parties in yes scenarios because it introduced significant risk. Centralization has implicit dangers.
It can, but with something like a utility distribution there's going to be centralisation anyway for practical, even graph-theoretic purposes. Trying to manage electricity sales over a line that someone in particular maintains with a decentralised system is a little silly.
That's true to lesser degrees with other legal rights, which a sovereign government enforces, or in other scale industrial supply chains.
Even with something like diplomas, you kind of imply a gatekeeper to access to the chain existing. If I can issue myself a degree it's basically an NFT market. If not, you have centralisation of some kind again, and you've just invented a more complicated way for Harvard to run an https API.
Sure but when the Blockchain is restricted to operation within a specific ecosystem that is kinda moot, no? Like, if I'm managing a supply chain but have concerns about the participants in that supply chain being compromised, then it's okay for me as a central authority to define the standard and then use the decentralized nature of Blockchain to validate and distribute the use cases for that standard.
Take a company like Target as an example. They want to make sure that their supply chain ledger is immutable and trustworthy. They don't want anyone within their organization, from the CEO down to the shipping dock workers, to be able to falsify or tamper with line items in the ledger. As a central authority they can define a standard using Blockchain that solves that problem AND doesn't depend on a central authority to do it beyond the initial standard definition. That reduces attack surface significantly.
And hey, cryptocurrency also has utility outside speculative markets and grifters!
It can be used to move money freely and often times more efficiently, and some of it can be used for private payments, too. Ability to financially support someone anonymously is important for democracy.
It also allows you to get money directly without revealing sensitive payment information or relying on third party with giant fees. This is objectively good!
yup, the buying drugs part is the legit good use of crypto. Always cringe when people acts like that's a negative when saying that's their only use.
I see this kind of comment on pretty much every thread about Blockchain, and yet those commenters aren't ever able to share a use case where Blockchain solves a problem better than the existing technology. Maybe you have one though?
Ok I will do a image recognition software using if else.
That was done with neural networks way before LLM hypetrain?
AI is not just LLM
Yeah, they're complaining about a technicality. Using the word "AI" to refer to LLMs or to generative AI is just common parlance. That definition changes every few years. Five years ago, neural networks were referred to as "AI" and a few decades ago, the AIs stealing our jobs were calculators. This is known as the AI effect.
Among experts, "AI" describes a whole research field with a myriad of applications, of which image recognition is definitely one: https://en.wikipedia.org/wiki/Artificial_intelligence
This is a programmer community. I would expect people to use technical terms over common parlance
I wouldn't because no one's an expert in all aspects of programming, and as with any learned skill, the majority of folks are at the lower end of the skill spectrum. Some folks reading along are experts in biology and only do some light scripting to process their data, but still generally get the jokes.
But even if it were the case that this was a community exclusively for senior software engineers, it would still be legal to just explain the difference rather than throwing a quip at them.
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