@softkiller133

Life is a Metaverse | #Ethereum Elitist

Joined October 2021
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From GitHub repos to sovereign AI strategies. Here's the last 2 weeks in open-source AI โ†“
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BREAKING: Grok 4.5 is now available on OpenClaw. No OpenClaw update is required, just connect your X Premium or SuperGrok subscription, select Grok 4.5 under the xAI provider, and start using an Opus-class model built for fast, cost-efficient, agentic workflows.
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External review caught a 6.6x token undercount in Sentient's ICML paper. Corrected figures give a stronger baseline and cleaner comparison. Why would you trust research you can't verify nitter.cf/SentientAGI/status/207โ€ฆ
Correction, and a thank you: @gneubig (@OpenHandsDev co-founder) caught a ~6.6x undercount of @goose_oss token usage in our Scaffold Effect Paper by analyzing the open sourced supplementary materials we cited. His feedback gave us a more accurate baseline to build on. This is exactly why we publish openly, because transparent research gets stronger through scrutiny.
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A special live performance of "Gazza's Tears" by Good Health Good Wealth and Joseph J Jones. ๐ŸŽถ Is it coming home this summer? ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ @ghgwmusic @josephjjones
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๐Ÿšจ๐Ÿšจ| Funny how football worksโ€ฆ England are facing a right-back crisis, while Aaron Wan-Bissaka starts on the ๐Ž๐๐๐Ž๐’๐ˆ๐“๐„ ๐’๐ˆ๐ƒ๐„ for DR Congo. ๐Ÿด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ๐Ÿ‡จ๐Ÿ‡ฉ
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while everybody chases memecoin pumps and tokenized stock flips, foundations like Franklin Templeton and Pantera are quietly backing benchmark validated efficiency work here. substance compounds. noise evaporates
Better agents donโ€™t always need more compute. They need less redundant work โ†“
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When Microsoft Research, Google, and Franklin Templeton are all citing the same framework, that's external validation most projects never see. @SentientAGI EvoSkill is showing up in serious institutional work. Worth a closer look at $SENT fundamentals right now. ๐Ÿ‘€
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After Drift and Kelp lost around ~$578M combined, people started taking a closer look at how fundamentally safe DeFi is. Even though both had passed audits, the weak points were across things like bridge validators, signer flows, and network dependencies. And if I'm being honest, I don't think most people check that stuff before entering a DeFi strategy anyway. Which is partly why @Shift_DeFi caught my attention. They break down every vault strategy by asset, protocol, and network, so you get a clearer view of what you're exposed to and where the weakest link caps the strategy rate, instead of relying on one risk score or chasing the highest APY. Their founder, @AlexeyT16, brings risk frameworks from traditional capital management straight into DeFi vaults. And IMO, this is a good step in the right direction for making better decisions in DeFi. Now, they're opening early access to their vaults through a waitlist, and you can get priority access in two steps. 1. Fill the form here: shiftdefi.com/waitlist-form?โ€ฆ 2. Follow both @Shift_DeFi and @AlexeyT16 to get priority access and great alpha content as well.
๐Ÿค Paid partnership
Institutional-grade risk management belongs in DeFi. For years, we kept our methodology on the TradFi side of the wall. Now we're bringing it on-chain. Shift's waitlist is here, with a new face to go with it. Claim your spot now and share your card! Every spot is someone who decided to know where they stand. shiftdefi.com
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RWA tokenization is the narrative and @coredao_org already has real estate NFTs, regulated ETPs on the LSE, and @sat_pay routing it to daily spend. Fragmented venues can't compete with a closed loop. Rotation finds quality setups ๐Ÿ‘€
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Exactly this๐Ÿ‘€ Number on a screen going up is not wealth. Wealth is what survives a 40% VIX spike, a Nasdaq down 4% in a session, and a 10yr yield pushing above 5% Most people holding assets in a risk-on rally are holding exposure, not wealth. The moment sentiment flips, so does the number Real wealth is what you can PRESERVE and compound across the full cycle, not just what looks good at peak complacency Hard assets that generate productive return without depending on someone else's confidence to hold value, that's the distinction toly is pointing at Most portfolios are not built for cycles. They are built for vibes
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quit posts everywhere, but Core keeps turning fear into use SatPay, LSTs, and institutional access are doing the boring work of turning attention into flows, while the rest of CT screams about exitsCore feels like the place where utility survives the panic ๐Ÿปโ›“๏ธ
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RBC is building a gold backed ecosystem designed to bring real world assets on-chain. With multi-chain utility, transparency, and real asset participation, RBC is preparing for the next generation of RWA infrastructure. ๐“๐†๐„ : ๐‰๐”๐‹๐˜ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ” The Gold Standard Goes On Chain. ๐ŸŒ rbccorp.co
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AWS charges $6.88 per hour for H100 compute. Targon, a Bittensor subnet, charges $0.45 per hour for RTX 4090 compute. That is not a discount. That is a structural demolition of the centralised cloud pricing model. And almost nobody in crypto is talking about it. Here is what Targon actually is. Targon is Bittensor Subnet 4. It finds idle GPUs sitting unused around the world and routes AI workloads to the cheapest verified hardware available on earth in real time. RTX 4090 compute: $0.45 per hour. H200 configurations: starting at $2.40 per hour. AWS equivalent H100 access: $6.88 per hour. Sometimes double that on Azure. The cost advantage is not marginal. It is a complete collapse of the pricing standard that AWS and Azure have spent a decade building. But the cost advantage is not even the most important part. Here is what makes Targon different from every other cheap compute play. Targon runs confidential computing on untrusted hardware using Intel TDX, AMD SEV, and NVIDIA Confidential Compute. Your code and your data stay encrypted end to end even when the node operator running the hardware is a complete stranger. Centralised clouds ask you to trust them. Their entire business model depends on that trust. Targon makes trust irrelevant by design. That is not a feature. That is a fundamental architectural advantage that centralised infrastructure cannot replicate without dismantling itself. The demand signal is already showing up in the data. Most high-end configurations on Targon are showing out of stock in real time. Projected ARR sits at approximately $10.4 million as of early 2026. NVIDIA brought Targon into the Inception program. Enterprise deals are closing. This is not a whitepaper. This is a working market eating centralised compute on cost, privacy, and supply elasticity at the same time. Here is what this means for $TAO. Every workload that runs through Targon runs on Bittensor. Every enterprise deal Targon closes is a real revenue signal flowing into the subnet emission economy. Every GPU owner who connects idle hardware to earn income is expanding the supply side of a decentralised compute marketplace that has no theoretical ceiling on scale. AWS built its moat with data centres worth tens of billions of dollars. Targon is building its supply from hardware that already exists and is sitting idle worldwide. The capital efficiency of that model versus centralised cloud infrastructure is not comparable. Centralised clouds had their decade. They built the roads. They set the prices. They trained the world to accept those prices as the permanent standard. Targon is showing the world what compute costs when the middleman is removed, and the market sets the price directly. $0.45 per hour versus $6.88 per hour is not a product launch. It is a before and after. The people who understood decentralised compute before it became obvious will not need to explain their positioning later.
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Ok so hear me out, $NemoClaw is the real alpha rn and Iโ€™ve been telling you guys since 25k MC Right now if you hold at least 1M tokens you get an airdrop from every token launched on their launchpad, so youโ€™re basically farming airdrops forever and you donโ€™t need to sell your bags to make money At the same time, launchpad fees are used for buybacks and burns, meaning itโ€™ll become harder and harder to own that 0.1% while the price keeps ripping. I currently own 13M tokens which should generate me some pretty solid passive income every month tTJj3mquBmzSYM8VwCxmp1c2AhQCjidQ5DdCdL4pump
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As advanced agents move from coding to the rest of knowledge work, it takes a real amount of work and know-how to get right. You need to ensure agents have the right context and data to work with, wire up systems to agents in a safe and secure way, ensure that the agents are producing quality output, design the end-state workflow where and how humans will be in the loop, maintain the agents when there are model and system upgrades, and more. This isnโ€™t a side project or something you can just do on nights and weekends. You need to design and develop robust agents that will be used in mission critical workflows. Itโ€™s a highly technical job, very much akin to a forward deployed engineer for internal functions. This is why, at Box, weโ€™re starting to hire for AI automation engineering roles. This a technical role that will partner with the business directly and help augment how they work to drive even more output, and deliver better experiences for employees and ultimately customers. This is just one example of the kind of role that AI will start to open up in the future. I expect most companies will have many flavors of this going forward.
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Let's make $CORE great again. Gm #Coretoshis
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gm orbitals ๐Ÿช
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Arena Debates Episode 1 is LIVE ๐ŸŽ™๏ธ Cohort 0 builders Cat (@hypecatv2) and Jessup go head-to-head on Open vs Closed Source AI. Who won? Watch and tell us your pick โ†“
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