“The horizon was unlimited. It wasn’t a line, it was a direction.” - TP, Making Money
Poland
Joined October 2021
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- Followers14.3K
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DEXLaboratory retweeted
| A billion machines paying each other at once.
On a blockchain: a billion payments, one line.
> On XE: a billion chains, nobody in line.
XE isn't a faster blockchain. It was built from the ground up for machines.
@JosephDenne explains it with a simple analogy.
To all those asking wen wen and how on $RYFT this is a must listen
Attention Citizens,
RYFT TV will be airing today at 2 PM UTC
Agenda:
> TGE
> PRESALE
> $RYFT
Don't miss the Alpha.
Watch: xitter.cf/i/broadcasts/1OxwbnXZb…
If not positioned at all, or look to increase exposure pre-TGE, have a look how you can enter the very limited presale of $RYFT in the official post.
Go on, send your agent to try and break stuff.
Btw. It pays to do well with that - check out the Bug Bounty page
ethereum:0x4ec1b60b96193a64acae44778e51f7bff2007831 -> XE
Watch. Understand. Build conviction.
EDGE -> XE
I am positioned in ethereum:0x4ec1b60b96193a64acae44778e51f7bff2007831 accordingly.
How long does an agent wait for a GPU?
> As long as it takes a person to approve its ticket.
AWS, Google Cloud, even behind an MCP: someone always has to say yes.
Our founder @JosephDenne on what changes when machines don’t have to ask.
This just shows how @xeinternet bulleyes the narrative fit as well as the growing demand.
I personally utilize agents on daily basis now in my work and day-to-day ops, I want to give them more power and control, so I do not have to be constantly bothered, ESPECIALLY when it comes to doing petty purchases.
XE will enable that at scale, @edgenetwork is evolving, so pay attention, as @xeinternet is the result of that evolution.
AI agents can find what they need. Now they can pay for it, too.
Today at @Cloudflare Connect, Mastercard showed how Agent Pay for Machines lets an AI agent find and pay for digital services on behalf of a business, while sticking to the budget and rules that business sets.
Following pilots with @Cloudflare, @Ant_Intl , @BVNKFinance, @AIsaOneHQ, @coinbase, @base and @hypepartners, we're opening Agent Pay for Machines Early Access.
Now we want developers to put it to the test. 👇
Rofl I've actually enjoyed playing the Dex table, lmao. Awesome to see such community creation
I built TO THE MOON PINBALL on @ryftcorp 🎮 🌙
Retro crypto pinball packed with NEURAL history, RYFT characters and community jokes.
Four tables are live:
🧪 DEXLABORATORY CLUB: Something’s brewing.
👾 RYFT OS: Find your way in.
🚀 LAUNCH PAD: Getting to the moon isn’t easy.
⛏️ MINING RIG: Dig deeper. Keep the ball alive.
There are familiar faces, hidden surprises and a few things you really shouldn’t ignore 😂
@ZssBecker there’s something in here for you. See if you can find it 👀
@DEXLaboratory4 your lab is open. 🫡
@neutanent the NEURAL → RYFT journey is now a pinball table.
Pick a table and show me your score 👇
ryft.fun/games/p596bj-to-the…
My entry for #RYFTGAMES 🏆
Lmao, team is shipping in blazing speeds.
RYFT team shipped in the last 48h:
1. Biggest web3 gaming competition with $50k prize pool
2. Best web multiplayer system (web2 and web3)
3. Logins via email, google, X, discord and wallets (for web2 onboarding) with underlying wallets
4. Remixing games (copy an existing game and make it your own, way cheaper / better)
5. MCP support so you can use RYFT with your Claude / Codex / Cursor etc.
6. RYFT OS V2 with integrated games and creation
7. Telegram publishing
8. More blippies
9. Massive design and UX improvements
10. A total of 1092 changes in the past 48h
And there is no stopping us.
Show me a team shipping more right now🫡
This team is cooking. Pay attention.
This is a fantastic opportunity to hop in, put your vibe-game-dev hat on and try to create something you always wanted to see or play alone or with friends.
There is $50K up for grabs in upcoming $RYFT token.
All the instructions are there. Need more help? Drop the article and ask him to guide you to make the perfect prompt if necessary, but the instructions are quite decent
Turned @gregisenberg notes from his 48h in SF into a short explainer as a training exercise
Models will evolve, but the part we control is how we organise our data, so our harness can use it - then whatever model comes next, it only gets better (with small model-specific tweaks)
I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies.
My observations:
1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble, and I kept wondering which niches are left. Digging into it actively.
2. At dinner, someone asked the table, "If a new model drops next month, does your company get better or worse?" HALF the table went quiet! I think that's the best question to ask about any AI startup right now.
3. The bar people talk about now is hitting $1B in revenue in 12 months (I guess that's the new unicorn?). What I didn't hear much about is retention. AI revenue can come in fast and leave fast, and I think we're going to see a lot of stories of AI companies with huge revenue and terrible retention.
4. It's pretty clear we're living through the reinvention of the computer. The model is the CPU, the harness is the operating system, and skills and plugins are the apps. Thinking about it that way makes it easier to see where the whitespace is.
5. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now.
6. Agent harnesses feel like the new GPT wrappers, in a good way, especially vertical ones. The best teams I talked to treat the model as swappable. One founder walked me through routing different models to different jobs: one for taste and visuals, a cheaper one for the everyday stuff, another for text.
They use prompts they can move across models over fine-tuning, and A/B test the output on what users actually do with it: do they edit it, export it, share it? A vertical harness is basically four things: the connectors for that industry's data, evals written by people who know the work, rules for what the agent can and can't touch, and a clean screen for a human to review. The model is maybe 20% of it.
7. There's a lot of reverse engineering going on/cloning going on more than I've ever seen. People are decompiling software and rebuilding it with agents, and someone showed a suite of like 10 apps that are worth $5B+ each all that he cloned open source. Me and everyone are still thinking through what it means when software gets this easy to copy.
8. My guess is the value moves to data. If the software can be rebuilt quickly, what's worth paying for in a legacy SaaS company is the years of customer data and workflows inside it. Some SaaS companies are secretly data companies.
Gets me thinking about how do you truly value data for this saas companies? Like if we were buying these dying saas companies at 2x ARR before (as example), maybe there is a better metric. Idk, just thinking out loud here.
9. It feels like a good chunk of legacy software won't make it to the agentic era, especially anything built around people clicking through a lot of screens.
10. Every company I talked to wants to pipe its internal data into one place and expose it to agents through MCP. Then they look at the data and realize it's a mess: five versions of the same customer, old Slack channels, PDFs nobody can search. Cleaning that up feels like a big consulting opportunity!
11. A lot of founders are building the basic building blocks for agents: APIs, data layers and tools. Some of the companies I saw barely have a UI because the main user is an agent. I really believe the startups that build primitives to this agentic era will do extremely well. Building blocks is the best way to think about it.
12. Labs can get plenty of training data, but it's harder to get real examples of agents failing inside companies. Whoever has those logs has something valuable.
13. Someone running a big consumer company told me the next fight is over memory. The model that remembers the most about you wins, and the smartest model matters less than people think.
14. Physical AI came up a lot. Astra I think was the first model that got people into AI can actually do CAD, and I think a lot of people are thinking what does vibe manufacturing really look like. The line I keep thinking about came from a robotics founder: the hardest problems in AI are deployment problems now, not research problems. Their robots work on their own, call a human when they get stuck, and every one of those calls becomes training data.
15. Cybersecurity companies are having a moment and are actually cool companies to build now, especially the ones that clean up after a breach. Every agent with access to your systems is a new door into your company, and a lot of those doors were left open.
16. Some startups are worth more dead than alive now. A shutdown company with 5 years of Slack, email and code can get paid for licensing all of it. I wouldn't be surprised if founders start factoring that into when they shut down.
17. People are starting to talk about monetizing the agent web. It feels really early, but when the most popular user of the internet is an agent, what startups should you be building?
18. I think agent insurance is coming. Once an agent makes an expensive mistake, insurers will want audits before they cover anyone.
19. Several people said the hire they want most is someone with taste who can write evals. The models are getting good at generating ideas, so the hard part is judging which ones are good.
20. New trend I observed: startup raises VC, uses venture dollars to become a creator, startup fails, founder falls back on being a full-time creator and incubates other products bootstrapped.
21. Getting SIGNIFICANT distribution is HARD right now. Founders are sponsoring buses, buying billboards like crazy and throwing parties with famous DJs to get noticed. Kinda feels dotcom era in that sense.
Attention is what's scarce! The growth guy going viral sharing his UGC strategy from Wispr Flow is a good example. It's the sauce everyone wants, and I truly believe there are probably only 50 people on the planet who know how to scale these types of businesses efficiently in this era.
Always good to get that dose of SF. I felt sooo lucky to have such an incredible trip during such an incredible time in building businesses. Surreal in so many ways.
Happy to be home and locked in.
Until next time!
It begins, dawn of the new era for ethereum:0x32b053f2cba79f80ada5078cb6b305da92bde6e1 that is leveling up to $RYFT
Bet on founders that are extremely driven and have dedicated themselves to what they build and aim to deliver
The possibilities are insane. Any Web2 development and investment for them will only drive Web3 element higher. It's a symbiotic relationship.
ONWARDS!
PSA: In accordance with the plan we set in motion about 2 weeks ago, we have just halted trading (removed team-held liquidity) from both ethereum:0x32b053f2cba79f80ada5078cb6b305da92bde6e1 pools on Ethereum and Solana.
From now on, the only actual use of the ethereum:0x32b053f2cba79f80ada5078cb6b305da92bde6e1 token is to migrate it to $RYFT now via ryft.fun .
The first migration window with favorable terms is still going until 12pm UTC today, so go get it 🔥
Side note: There may be some small, non-team liquidity providers still holding a bit of LP, but do not trade it there as the pool is insanely small and you will lose most of your value.
Hmmm, will the story repeat itself? Been bullish on ethereum:0x32b053f2cba79f80ada5078cb6b305da92bde6e1 team pre-launch of first token.
Now, landscape is shifting, migration is happening to $RYFT as the whole company and project evolves.
You can already make web2 based games (rn its limited to 100+- test crowd), which can be played at ryft.fun
Id say this is alpha/beta stage of the webtool, and soon it looks like there will be the 3D version of the games coming.
I personally expect to see much, much higher valuations on $RYFT than we saw on ethereum:0x32b053f2cba79f80ada5078cb6b305da92bde6e1, especially given that team is now more experienced, better connected, has been plowing into AI tech non-stop.
Time will tell
Actually, we went a step further. We created our own web-based "blender" running in python that mimicks blender APIs so that LLMs can utilize it perfectly.
Now, every 3D object in our games will be generated at extremely high quality, like this ⏬
Coming to @RYFTCORP very soon 🤝
Vitalik wrote ~5k characters most people won't read. I've cut it into 60s via my motion director pipeline for your viewing pleasure
What he's saying:
> don't rush to move your coins
> AI writes maths papers by the hundred now, so far it broke nothing in use
> if AI packs 50 years of maths into 2, then anything built on patterns (curves, lattices) gets weaker, and hashes are the safer bet
> for lattice-based stuff his rule of thumb is make keys x10 longer
> if it's easy for you, keep your crypto in an address that never sent anything - and go slow, he lost more on botched speedy moves than on hacks (yeah, happened to me once or twice too when moving funds to mess it up)
These are his personal views, and some cryptographers disagree. Just my thoughts on what matters in it. If I got something wrong in video, lmk below.
I don't recommend anyone scramble to move their funds to new wallets today. But we should take the risks to cryptography from AI-accelerated math seriously, and minimize our exposure to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography.
The core new area of risk from this viewpoint is, unfortunately, ML-DSA / FHE / lattices.
(and it's also another reason, along with quantum, why ECDSA might fall even faster than expected, hence the "fresh address" recommendation)
So far most people have been in the mode of thinking "elliptic curves broken, hashes safe, lattices safe". But there is a good chance that the concrete security of lattices will take serious hits from the next two years of AI math.
The basic threat model is: factoring is something that naively takes 2^(n/2) time, but over decades smart people have found and optimized number field sieves, and degraded that to 2^O(n^(1/3)), which is why RSA keys and signatures need to be ~400 bytes (and not 64 bytes). What if there are skeletons in the closet like that, both for elliptic curves and lattices, that we are simply not smart enough to discover - but bots soon will be?
This is a major part of the reason why for the past year ethereum's lean roadmap has been going in the "hash-only" direction: no lattices, no ML-DSA, no Falcon, no lattice-based commitments inside ZK proofs, etc. Signatures in lean ethereum are all hash-based, either WOTS or SPHINCS-.
For signatures and proofs, we already know how to go hash-only. The bigger challenge is for *public-key encryption* - and this goes far beyond blockchains. Secure communication, anonymizing protocols, lots of things need public-key encryption.
And unfortunately there are long-standing mathematical theorems showing why public-key encryption cannot be done with hashes alone. You have to have some kind of trapdoor object that has at least one form of usable "structure" - either group theory (incl. isogenies) or lattices or code-based or potentially in the future even more newfangled and spooky things (local mixing?). But for anything that has structure, you should assume that AI will make at least some progress in breaking that structure. Here, one reasonable inference is that if you want to make something plausibly long-term secure, multiply the key sizes by 10.
To me that's a very plausible world and something not at all extreme to predict. If AI will bring us 50 years of math in 2 years, then that 50 years of math may very plausibly include a "naive factoring -> GNFS" level of improvement to our ability to break lattices. In that world, lattices will still exist, but they will have to be significantly bigger to guarantee the same level of safety.
And at those new larger sizes, hash-based constructions will beat lattice-based constructions on concrete efficiency in every use case where hash-based constructions are possible at all.
Theoretically, of course it's possible that hashes are broken too (eg. P = NP would imply that). But I think P = NP is very unlikely. And intuitively, it's much more likely that a mathematical object has exactly no exploitable structure (like hashes are intended to), than that a mathematical object has exactly ~3 forms of exploitable structure (for elliptic curves: associativity, Schoof, pairings) and not some secret fourth form of structure we have not yet discovered that greatly degrades its security (for elliptic curves, ECDLP and pairing security). Similar for LWE, SVP, RLWE and the zoo of lattice problems.
For this reason, we do not yet see any reason to worry and start padding the byte size of hashes (if we start to worry more, we would pad the round count first before doing anything to the byte size).
Concrete TLDR, my own personal views:
* Hash-based > lattice-based, in those situations where hash-based is possible at all
* For anything lattice-based, be much more paranoid on param sizes. Remember that blockchains are only a small portion of the cryptography story; this point goes far beyond blockchains and applies to eg. access to websites, secure messaging, Tor / VPNs ...
* For privacy protocols, strongly favor NOT putting encrypted notes onchain. Instead, send them offchain through some third-party mechanism.
* If it's not difficult for you, keeping your funds in addresses which have not yet been used to make a transaction is a good idea. If it's easy for you, do it. **But be careful about migrations; I personally have lost more money in botched migrations than I have lost in all hacks combined**.
* For multisig wallets, doing confirmations offchain is better than onchain, because this way the signatures of signer wallets do not get exposed to the public, so if ECDSA falls to AI much faster than expected, at least the multisig "gracefully degrades" to a 1-of-1 where the 1 is whoever was gathering the signatures - a much better place to be than "anyone can take the money"
firefly.social/post/x/210783…
I've been a gamer for the most part of my life and I would never have expected that a time will come, where you are able to sit down in front of your laptop, open up an AI Gaming Studio and be able to actually, with absolute zero game-dev experience start creating your own small games for yourself, your friends & family, or one you believe your community or general public will like.
We truly live in times of massive break-throughs with AI and I am happy to be a part of it, especially by backing teams like @RYFTCORP that have been dedicated for past 2 years to tap into the AI systems, despite their rapid improvement, and create a whole AI-Game-Engine that allows that, on top of that, from a browser level.
Sure, there is a version on @Steam that lets you do more, but hey, most casuals ain't installing that, so the web version sure is quite important for the casual crowd, while the steam version remains for game-devs that actually want to leverage the AI tech to enhance or speed up the development.
Bear in mind, this is a heavily under-invested startup that has built this, in two years.
What happens when they are taken to a preseed by likes of @a16z and tap into much larger funding that allows them to move faster and break things in order to level up it's quality in much faster pace.
I'm not sure most of the readers are aware of this, but @neutanent has been a gamer most of his life too, as well as a game-dev, and someone that led a profitable business related to gaming. Wouldn't think he will sacrifice years of his life at this point to earn few measly $, but more so to prove a point and show how the boundaries can be pushed and bring ability to create, to those who were unable to do so before due to technical constraints.
Onwards to the new era.
Ability to tell a story and spin a narrative is one if not the strongest weapon in any startup arsenal to get momentum going and to keep it rolling.
We are all apes, we love stories, we love a good narrative, we want to believe in something.
Which project in the lowcap sector has the best story/narrative in your opinion, and what is it in short?
agree with Theo here, been in the what-the-hook:native myself on the public fomo wallet
slowcook, should pick up as more integrations are made and flywheel spins harder
