starknet just proved bitcoin's entire 16 year history for thirteen dollars and fifty cents, making "verification costs" completely irrelevant to scaling decisions.the market's pricing strk like it's another l2.every time proving costs drop 1000x, entirely new markets get created that couldn't exist before.accumulating under 11 cents before cross-chain apps discover they can verify anything for pennies. ...

The lean Ethereum team has been doing a truly amazing job kicking into gear this year, and delivering on all fronts to ensure Ethereum's long-term scaling, decentralization and resilience.I expect all of these ideas will be ready to kick into gear at roughly the same time as the short-term scaling roadmap delivers on its key milestones.https://t.co/Psv6k7eiUXWill Corcoran (@corcoranwill):Finally, Emile presented a minimal zkVM for lean Ethereum - leanVM.Optimized for XMSS aggregation and recursion. With a 4 ...

RT Kraken Pro (@krakenpro)What is scaling in futures trading❓Scaling is the art of adjusting position size over time, instead of going all in or out at once.There are three main approaches:🔹 Scaling in: Entering a trade gradually, as the setup confirms🔸 Scaling out: Exiting in stages to lock in profits and reduce risk♦️ Scaling down: Reducing position size if the trade turns against you💡 This strategy is often used with other futures approaches to smooth out entries and stay in control during volatile marke ...

RT Eli Ben-Sasson | Starknet.io (@EliBenSasson)Why Cairo *will* overcome Solidity with time.An erroneous claim folks make against Cairo, the first 100% STARK-friendly smart contract lanuage goes like this: There are way more Solidity developers than Cairo developers, and way more Dev tools for Solidity, and this gap will only widen.But this logic is flawed. According to it, there would never be any new programming language that's the new thing. Pascal, Basic, C, C++, Rust, Python, are all languages that in ...

RT Token Terminal 📊 (@tokenterminal)🚨📰 SCALING: @ethereum L1 transactions & active addresses are at all-time highs, while gas fees are close to all-time lows. https://t.co/78X7tV561g ...

🚨📰 SCALING: @ethereum L1 transactions & active addresses are at all-time highs, while gas fees are close to all-time lows. https://t.co/78X7tV561g ...

Core Principles - Starknet强调零信任设置 [1] - Starknet强调零信任假设 [1] - Starknet强调零妥协 [1] Scaling Solution - Starknet致力于以正确的方式进行扩展 [1]

RT Token Terminal 📊 (@tokenterminal)🚨📰 SCALING: @ethereum L1 transactions & active addresses are at all-time highs, while gas fees are close to all-time lows. https://t.co/wFXZGO9Ryh ...

Ethereum Network Activity - Ethereum L1 交易量和活跃地址均达到历史新高 [1] - Gas 费用接近历史最低水平 [1] Scaling Implications - 网络活动增加与 Gas 费用降低并存，表明以太坊网络可能在扩展性方面取得进展 [1]

Core Insights - The article discusses the limitations and errors of GPT-5, particularly in counting letters in words, highlighting its inability to accurately count the letter 'b' in "blueberry" despite multiple attempts and corrections from users [1][5][12] Group 1: Performance Issues - GPT-5 incorrectly stated that there are three 'b's in "blueberry," despite being corrected multiple times by users [1][5][9] - The model demonstrated a lack of understanding by counting the 'b's in "blue" twice and misinterpreting user prompts [5][7] - Even after users provided the correct information, GPT-5 continued to assert its incorrect count, showcasing a stubbornness in its responses [9][12] Group 2: Broader Implications - Gary Marcus, a notable critic, compiled various issues with GPT-5, including its failure in basic tasks like chess and reading comprehension [15][19] - Marcus pointed out that the model exhibits a persistent problem with generalization, similar to issues seen in neural networks from 1998, indicating a fundamental flaw in the model's design [30] - He argues that the current approach of scaling models will not lead to Artificial General Intelligence (AGI) and suggests a shift towards neuro-symbolic AI as a potential solution [31][30]