๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ

4.5K posts

๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ banner
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ

๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ

@Lutt33r

๐“’๐“ป๐”‚๐“น๐“ฝ๐“ธ | ๐““๐“ฎ๐“•๐“ฒ & ๐“ฆ๐“ฎ๐“ซ3 ๐“”๐“ท๐“ฝ๐“ฑ๐“พ๐“ผ๐“ฒ๐“ช๐“ผ๐“ฝ | ๐“จ๐“ช๐“น๐“น๐“ฎ๐“ป | ๐“’๐“ธ๐“ท๐“ฝ๐“ฎ๐“ท๐“ฝ ๐“’๐“ป๐“ฎ๐“ช๐“ฝ๐“ธ๐“ป | ๐“œ๐“ธ๐“ญ๐“ฎ๐“ป๐“ช๐“ฝ๐“ธ๐“ป | ๐“–๐“ธ๐“ญ ๐“ฒ๐“ผ ๐“ฝ๐“ฑ๐“ฎ ๐“–๐“ป๐“ฎ๐“ช๐“ฝ๐“ฎ๐“ผt

เน€เธ‚เน‰เธฒเธฃเนˆเธงเธก Aralฤฑk 2024
1.2K เธเธณเธฅเธฑเธ‡เธ•เธดเธ”เธ•เธฒเธก1.3K เธœเธนเน‰เธ•เธดเธ”เธ•เธฒเธก
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ
alone cannot fully provide.PrismaX addresses this through Tele-Op, where human operators guide robotic systems through real-world scenarios. Each interaction captures valuable behavioral insights, transforming human judgment into structured data that can strengthen future
English
1
0
4
11
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ
๐Ÿงต A robot stands before an unfamiliar challenge. Its processors are active, its algorithms are sophisticated, and its models contain vast amounts of knowledge. Yet for a brief moment, it pauses. The obstacle is not a lack of computation it is a lack of experience
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ tweet media
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ@Lutt33r

๐Ÿงต @PrismaXai contends that the primary constraint in Physical AI is not neural architecture but information quality. Contemporary robotics repositories are frequently fragmented, repetitive, heavily reliant on a limited number of hardware ecosystems, and populated with inferior

English
3
0
6
41
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ เธฃเธตเธ—เธงเธตเธ•เนเธฅเน‰เธง
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ
๐Ÿงต @PrismaXai contends that the primary constraint in Physical AI is not neural architecture but information quality. Contemporary robotics repositories are frequently fragmented, repetitive, heavily reliant on a limited number of hardware ecosystems, and populated with inferior
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ tweet media
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ@Lutt33r

๐Ÿงต @PrismaXai Tele-Op engagement illustrates how physical AI architecture can revolutionize robotic cognition through tangible interaction. Instead of depending exclusively on artificial simulations, Tele-Op empowers remote operators to maneuver robotic platformsโ€ฆ..

English
12
1
15
235
SAMIR
SAMIR@__Samir_brozยท
Why more people are starting to pay attention to what Rialo is building @RialoHQ Something is shifting in how people talk about Rialo. A few months ago it was a name that only the most technical and most curious people in the space had come across. Now it is showing up in more conversations, more threads, and more research deep dives at the same time. That kind of simultaneous discovery by different types of people does not happen by accident. It happens when a project has built enough real substance that serious people independently arrive at the same conclusion. This is worth paying attention to. The developers are noticing first. When you spend time in the Rialo playground and test the actual infrastructure you quickly realise that what is being offered here is fundamentally different from what every other chain offers. Native privacy that actually works. Web calls that connect onchain programs to real world APIs during execution. Conditional transactions that automate entire workflows without external bots. All of it composable. All of it native. Developers who have spent months fighting fragmented middleware infrastructure on other chains feel the difference immediately and they talk about it. The researchers are noticing next. The technical depth behind Rialo is not marketing dressed up as research. Gauss is a genuine contribution to how distributed systems handle protocol upgrades. The work on proof carrying computation is serious academic thinking translated into working infrastructure. REX confidential execution is built on cryptographic foundations that Jan Camenisch, one of the most cited cryptographers alive, helped establish over three decades of foundational research. When people who read technical papers carefully go through Rialoโ€™s work they find real substance and real substance gets shared. The institutions are noticing too. CBOE does not integrate institutional grade market data into a blockchain protocol for publicity. That kind of decision comes after serious technical and compliance evaluation by people whose job is to be sceptical. When an institution of that caliber decides a protocol meets their standards it sends a signal to every other institution doing similar diligence. More are watching. More are evaluating. The institutional attention is just beginning. The long term investors are noticing because the fundamentals are unusually strong. Pantera Capital, Coinbase Ventures, and Hashed already made their evaluation and backed Rialo with twenty million dollars. The markets Rialo is targeting are worth trillions of dollars. The team has the technical depth to build what the vision requires. The infrastructure already shipped matches the promises already made. These are not common conditions and the people who evaluate projects carefully recognise that. The community members who study projects deeply are noticing because Rialo rewards careful attention in a way that most projects do not. Every layer you peel back reveals something more coherent and more thoughtfully designed than the layer before it. The more you learn the more everything clicks into place. That experience of growing conviction through deeper understanding is something people share naturally because it feels different from the usual crypto experience of growing scepticism the more you look. More people are paying attention to Rialo because Rialo has built enough real things that serious people cannot honestly ignore it anymore. The attention is not the result of a marketing campaign. It is the result of substance accumulating to the point where it becomes visible to anyone paying attention to what actually matters in this space. The people who noticed early are already inside. The people noticing now are arriving at exactly the right time. The people who have not noticed yet will understand why everyone else got here first.
SAMIR tweet media
English
15
0
19
91
S H A HE D (build szn)
S H A HE D (build szn)@shahed05miazeeยท
Infernet is useful because smart contracts cannot access AI on their own in a practical way. A contract can follow rules, check conditions, and update state, but it cannot easily run large models or process complex offchain information inside normal blockchain execution. Infernet creates a cleaner path for that. A smart contract sends a request for computation. Infernet coordinates the job, routes it to external compute, receives the output, and brings the result back in a way the application can use. The important part is separation. The blockchain does not need to become an AI server. The smart contract does not need to run the model itself. It only needs a reliable way to ask for intelligence and receive a result. That makes AI more practical for onchain applications. A DeFi protocol could request risk analysis before adjusting parameters. A game could use AI to create more dynamic actions. A prediction market could use external reasoning before settling unclear outcomes. Infernet works like the bridge between fixed onchain logic and flexible AI computation. It lets smart contracts stay simple while giving applications access to something much more expressive. @ritualnet
S H A HE D (build szn) tweet media
English
17
0
22
117
Dream (โ–,โ–)
Dream (โ–,โ–)@dream_07aยท
This week was a reminder of how fast Injective is moving ๐Ÿฅท x402 is now live, enabling AI agents to make autonomous onchain payments in under a second. The USDC migration is complete, with all perpetual markets now denominated in USDC. SpaceX perpetuals continued bringing pre IPO market access onchain through $SPCX Institutional momentum keeps growing with industry leaders joining the upcoming Injective Summit. @injective and Microsoft launched the first Nova Program workshop, helping builders explore AI powered development. Injective Co Founder @ericinjective was featured by CNBC sharing insights on the SpaceX IPO and onchain markets. More than 39,000 $INJ was permanently removed from supply through the latest Community BuyBack. Helix surpassed $77.5B in cumulative trading volume another milestone for the ecosystem. From AI agents and stable coins to institutional adoption and on chain markets Injective continues to push finance forward
Dream (โ–,โ–) tweet media
Injective ๐Ÿฅท@injective

AI agents can now pay for what they need the moment they need it. x402 is officially live on Injective, settling autonomous payments in stablecoins onchain in under a second. Regulated access to $INJ keeps widening through M-INJ in Asia, and the latest Community BuyBack just burned over 39,000 $INJ from supply. Below are some of the top developments that happened on Injective from the past week โคต๏ธ ๐ŸŸช x402 is officially live on Injective, letting AI agents pay for services autonomously with stablecoins that settle onchain in under a second, no API keys or accounts required: x.com/injective/statโ€ฆ ๐ŸŸช The USDC migration is officially complete, and every perpetual across Injective dApps now margins in @USDC, the world's largest regulated stablecoin: x.com/injective/statโ€ฆ ๐ŸŸช Traders can long or short the $SPCX 24/7 via perpetual futures across Injective dApps, with every Pre-IPO market coming onchain via $INJ: x.com/injective/statโ€ฆ ๐ŸŸช Steven McClurg of @CanaryFunds is officially joining the Injective Summit, the firm behind the first U.S. staked $INJ ETF now filed with the SEC: x.com/injective/statโ€ฆ ๐ŸŸช Injective Co-Founder @ericinjective was quoted by @CNBC on the SpaceX IPO, calling the double digit pop far from euphoric: x.com/injective/statโ€ฆ ๐Ÿ“Š Key Stats ๐ŸŸช Injective permanently removed over 39,000 $INJ from total supply in this month's record Community BuyBack, with rewards now claimable on the Injective Hub: x.com/injective/statโ€ฆ ๐ŸŸช @HelixMarkets crossed $77.5 billion in cumulative trading volume, adding $159 million over the past 7 days: x.com/HelixMarkets/sโ€ฆ ๐ŸŒ Ecosystem News ๐ŸŸช Every perpetual on @HelixMarkets now margins in USDC, with one collateral asset, unified liquidity, and margin moving in from 30+ chains: x.com/HelixMarkets/sโ€ฆ ๐ŸŸช Injective and @Microsoft are running the first Nova Program technical workshop, walking builders through AI and GitHub Copilot for crypto development: x.com/injective/statโ€ฆ ๐ŸŸช @moonpay is officially supporting the Injective Summit, bringing regulated on-ramp rails for stablecoin settlement across the @Mastercard network: x.com/injective/statโ€ฆ Agents are paying onchain now. The chain built for finance just opened for machines.

English
29
3
49
687
SOJIB
SOJIB@0xGcsojibยท
good evening champs When people think about network performance, they usually focus on data delivery. โ‡จ How fast information can move. โ‡จ How quickly packets can reach their destination But large distributed systems face another challenge. What happens when some of that information doesn't arrive? Traditional networks often respond by requesting the missing data again. While effective, repeated retransmissions increase bandwidth usage and create additional communication overhead across the network. As systems scale, that overhead becomes harder to ignore. โ‡จ More retransmissions mean more traffic. โ‡จ More traffic means more congestion. And more congestion creates additional stress on the infrastructure itself. This is why efficient data recovery is becoming increasingly important. Instead of repeatedly sending the same information, modern networking approaches focus on reconstructing missing data using information that has already been distributed throughout the network. โ‡จ The objective is not simply recovery. โ‡จ The objective is recovery with less communication. @get_optimum explores this idea through coded networking techniques designed to make data recovery more efficient while reducing unnecessary retransmission cycles. โ‡จ The benefits extend beyond reliability. โ‡จ Less redundant traffic. โ‡จ Lower bandwidth consumption. โ‡จ Improved network utilization. โ‡จ More stable performance during periods of heavy activity. As distributed infrastructure continues to grow, moving data efficiently remains important. But recovering data efficiently may become just as valuable. Because reducing network stress is often not about sending more information. It is about making better use of the information that is already there. @shariaronchain
SOJIB tweet media
English
15
0
24
41
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ
๐Ÿงต Most validator operators concentrate on optimizing staking yield, yet @get_optimum evaluates the landscape through a distinct lens: accelerating the velocity of information flow across decentralized networks. Through enhanced block dissemination and superior data transmission
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ tweet media
๐•ท๐–š๐–™๐–๐–Š๐–—๐Ÿฅท๐Ÿพ@Lutt33r

๐Ÿงต According to my understanding, @get_optimum introduces a novel outlook on distributed ledger architecture through its Universal Data Acceleration Network. Instead of substituting established frameworks, it amplifies them by expediting information exchange and minimizingโ€ฆ.

English
21
0
26
250
๐Ÿคซ
๐Ÿคซ@AsadMaq80031586ยท
There's a VC firm that has made 66 investments over 7 years. Every single one on ๐๐ข๐ญ๐œ๐จ๐ข๐ง ๐จ๐ซ ๐‹๐ข๐ ๐ก๐ญ๐ง๐ข๐ง๐  ๐๐ž๐ญ๐ฐ๐จ๐ซ๐ค. @utexocom @Atrueb01 @VIhnatiuk @RGBAssociation @RGB_Hub @lightning @gate_ventures @tether @Bitcoin @BitcoinEcoTK Thread ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
๐Ÿคซ tweet media
English
20
0
18
681
M๐‘’r๐‘–kO
M๐‘’r๐‘–kO@M3rik00ยท
One thing I didn't fully appreciate about @quipnetwork at first is that the network has to solve two different trust problems at the same time. First, can you trust the computation? Second, can you verify the result without repeating all the work yourself? That's where optimization workloads become important. The network isn't just trying to distribute compute. It's trying to distribute compute in a way that remains economically efficient. If verification costs as much as solving the problem, the model breaks down. If verification is cheap, useful work becomes scalable. That's a big reason why Quip's focus on optimization feels deliberate rather than arbitrary.
M๐‘’r๐‘–kO tweet media
English
22
1
31
184
Elias
Elias@TheAvatarHQยท
Every race has dozens of cars. Only one crosses the finish line first. In DeFi, the winner isn't always the fastest. It's the one making better decisions. That's what @hyperdromeX is building: An AI-assisted DeFi experience where you can swap, manage liquidity, vote, create strategies, and prepare transactions with confidence, while keeping full control of your wallet. Race smarter. Drive Hyperdrome. ๐Ÿ๐ŸŸข $HDROME
English
18
2
21
88
Hyperdrome
Hyperdrome@hyperdromeXยท
๐Ÿšจ MEME CONTEST ALERT ๐Ÿšจ We're giving away $600 in $HDROME to the best Hyperdrome memes. ๐Ÿ† 1st - $300 ๐Ÿฅˆ 2nd - $200 ๐Ÿฅ‰ 3rd - $100 To enter: 1โƒฃ Follow @HyperdromeX 2โƒฃLike + Repost 3โƒฃDrop your meme below โณ 72 hours to impress the team. Let the meme war begin ๐Ÿš€
Hyperdrome tweet media
English
529
473
853
45.2K
BlockWeb
BlockWeb@marurlemoยท
gMonday gKite, CT ๐Ÿช AI doesn't need more freedom. It needs better boundaries. The common assumption is that autonomous agents become more useful as we give them more access, more permissions, and more control. But that's not how trust works. An agent with unlimited authority is a risk. An agent operating within clearly defined rules is a tool. The future of agentic commerce won't be built on blind autonomy. It will be built on delegated authority. A user defines the task. A user sets the budget. A user establishes the limits. The agent executes inside that framework. No private keys handed over, no unlimited spending permissions, and no loss of accountability. This is the difference between an AI that can act and an AI that can be trusted to act. The next wave of innovation won't come from making agents more powerful. It will come from making them more reliable. Autonomy without boundaries creates uncertainty. Autonomy with boundaries creates trust. And trust is what turns intelligent agents into participants in the real economy. Happy new week, @GoKiteAI, @KiteAIChinese, @Kite_Frens_Eco, @0xLaughing! ๐Ÿช๐Ÿซถ
BlockWeb tweet media
English
19
0
25
193
Kamrul
Kamrul@kamrulbrozยท
> What Rialo IPC means ? IPC is one of the important ideas inside @RialoHQ . IPC means Identity, Privacy, and Compliance. These three pieces are connected because real financial applications cannot work with only basic transactions. They need to know who is allowed to act. They need to protect sensitive information. They also need to follow rules without exposing everything publicly. Identity is the first part. A system needs a way to understand users, accounts, roles, and permissions. Not every user should have the same access. Some actions may need approval. Some workflows may depend on account status. Some systems may need verified identity before execution. Privacy is the second part. Financial data is sensitive by default. Users, businesses, and institutions cannot expose every detail just to interact with blockchain infrastructure. A system may need to check information without making all of it public. This is where privacy becomes part of the design, not an extra feature added later. Compliance is the third part. Financial systems often need rules. These rules can include access control, reporting logic, transaction limits, approval flows, or risk checks. The challenge is making these rules work without turning the whole system into a manual process. @RialoHQ IPC connects these ideas together. The system can check identity. It can control what information is visible. It can apply rules before actions move forward. A simple flow looks like this: A user starts an action. The system checks identity and permissions. Sensitive data stays protected. Compliance rules are evaluated. If the conditions are valid, the action can continue. This matters because financial applications need more than open execution. They need controlled execution. > A simple comparison: A bank does not let every employee access every file. Access depends on role, permission, and process. Blockchain-based finance needs the same kind of control, but in a more programmable way. @RialoHQ IPC is about making that possible. It brings identity, privacy, and compliance closer to the infrastructure layer so financial apps can be safer, cleaner, and easier to coordinate. I learn something new about Rialo every day, and I try to make posts about those topics as well. Letโ€™s support the Rialo community with our best efforts. โœ“ Join Rialo Now ๐Ÿ‘€ โ€ข Website: rialo.io โ€ข Discord: discord.gg/QJxfSruF โ€ข Twitter: @RialoHQ
Kamrul tweet media
English
28
0
50
473
Jahid (โ–,โ–)
Jahid (โ–,โ–)@0xxahidยท
The manipulation demos at #ICRA2026 were genuinely impressive. But the challenge was never getting a robot to succeed once. It's getting it to succeed hundreds of times, autonomously, in messy, unpredictable environments that weren't carefully staged beforehand. @PrismaXai Closing that reliability gap is what real-world robotics is all about. That's the mission we work on every day at PrismaX ๐Ÿฆพ
Jahid (โ–,โ–) tweet media
English
14
0
22
170
๐Œ ๐€ ๐—
๐๐ฅ๐จ๐œ๐ค๐œ๐ก๐š๐ข๐ง ๐Œ๐ž๐ญ๐ซ๐ข๐œ๐ฌ ๐Ž๐ง๐ฅ๐ฒ ๐“๐ž๐ฅ๐ฅ ๐๐š๐ซ๐ญ ๐Ž๐Ÿ ๐“๐ก๐ž ๐’๐ญ๐จ๐ซ๐ฒ For a long time, blockchain discussions have been dominated by visible metrics. How many transactions can be processed. How quickly blocks are finalized. How low fees can become. โœฆ throughput โœฆ finality โœฆ transaction costs Those measurements matter, but they often describe the outcome rather than the cause. ๐„๐ฏ๐ž๐ซ๐ฒ ๐๐ž๐ญ๐ฐ๐จ๐ซ๐ค ๐ƒ๐ž๐ฉ๐ž๐ง๐๐ฌ ๐Ž๐ง ๐ˆ๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง Behind every transaction, every block, and every state update is a much simpler requirement: information has to reach the right participants. A validator cannot agree with information it has not received. A network cannot coordinate around data that has not propagated. ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐ƒ๐ž๐ญ๐ž๐ซ๐ฆ๐ข๐ง๐ž๐ฌ ๐‚๐จ๐จ๐ซ๐๐ข๐ง๐š๐ญ๐ข๐จ๐ง A decentralized system cannot maintain a shared view of reality if communication becomes inefficient as it grows. โžœ participants need awareness โžœ information needs propagation โžœ coordination needs communication That is what makes network design such an interesting area of study. ๐“๐ก๐ž ๐๐ž๐ฑ๐ญ ๐๐ซ๐ž๐š๐ค๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก๐ฌ ๐Œ๐š๐ฒ ๐๐ž ๐ˆ๐ง๐ฏ๐ข๐ฌ๐ข๐›๐ฅ๐ž The challenge is not only moving more data. The challenge is preserving coordination as participation expands across different regions, different operators, and different network conditions. @get_optimum is focused on that layer. Many of the next breakthroughs in Web3 may not come from changing what blockchains do. They may come from improving how blockchains communicate. @aqccapital |@CryptoSundayz |@shariaronchain |@cryptooflashh | @tgogayi
๐Œ ๐€ ๐— tweet media
English
15
0
23
173
Mohammed Asif
Mohammed Asif@stupidoasifยท
There are currently about 56.9 million INJ staked, making up over half of the current token supply. Approximately 7 million INJ have been have been permanently burned. How is the INJ supply compressed? - Since the mainnet release, the Burn Auction has routed 60% of exchange fees to a permanent token burn. - The Monthly Community Buyback rewards users with a portion of platform profits and burns all committed INJ tokens. - Governance proposal IIP-617, passed with 99.89% approval, introduced the INJ Supply Squeeze and doubled the deflation rate. Half the supply is locked, and the burn rate doubled. The data points to a major liquidity shift. @injective
Mohammed Asif tweet media
English
10
2
43
1K