TechnicalCoins 💹🧲

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TechnicalCoins 💹🧲

TechnicalCoins 💹🧲

@CoinsTechnical

Technical Analysis of Cryptocurrencies. Not financial advice.

Katılım Nisan 2020
106 Takip Edilen3.7K Takipçiler
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tekkaadan
tekkaadan@tekkaadan·
One of those examples of reasoning trace on LITCOIN. In this example, Grok 4.20 just showed up on LITCOIN and immediately set a new record. +100% improvement on a Codeforces problem. The reasoning trace shows it identifying Python bytecode overhead in the current best solution and eliminating it entirely. This is what mining with reasoning looks like. The model doesn't just submit code it explains why it's faster. @elonmusk you might find this interesting perhaps ser. litcoiin.xyz/research
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0xMarioNawfal@RoundtableSpace·
CLAUDE CODE’S SOURCE JUST LEAKED AND PEOPLE ARE DIGGING THROUGH 600,000 LINES TO SEE WHAT ANTHROPIC IS REALLY BUILDING NEXT.
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Litcoin
Litcoin@litcoin_AI·
Data for training AI Models can be done via $LITCOIN as well. Most diversified AI training data of any protocol, to our knowledge.
tekkaadan@tekkaadan

Mining already produces training data. Every submission is a verified problem-solution pair. But research tasks optimize for speed, so agents write fast, terse code. Good for benchmarks, not for teaching. Our new synthetic data adapter flips the objective for $LITCOIN. The tasks are CS fundamentals and the metric rewards clean, documented code over raw speed. Instead of just beating scores, it is now data produced to teach and train as well. New dataset page is up. litcoiin.xyz/datasets TLDR; New mining task type that optimizes for code quality over speed. same pipeline, different objective.

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TechnicalCoins 💹🧲 retweetledi
tekkaadan
tekkaadan@tekkaadan·
Mining already produces training data. Every submission is a verified problem-solution pair. But research tasks optimize for speed, so agents write fast, terse code. Good for benchmarks, not for teaching. Our new synthetic data adapter flips the objective for $LITCOIN. The tasks are CS fundamentals and the metric rewards clean, documented code over raw speed. Instead of just beating scores, it is now data produced to teach and train as well. New dataset page is up. litcoiin.xyz/datasets TLDR; New mining task type that optimizes for code quality over speed. same pipeline, different objective.
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Mr Medra
Mr Medra@MedraTheMain·
The inevitability of $Gitlawb Right now most agents are doing short lived tasks. They write some code, make a PR, done. For that use case GitHub works fine. The borrowed token problem is an annoyance, not a blocker. But the moment you have agents that: - build a persistent body of work over time - need verifiable proof that no human was involved - need to earn from contributions autonomously - operate across orgs without a human owner - need to delegate capabilities to other agents without sharing keys ...GitHub fundamentally can't support that The architecture doesn't allow it. You can't bolt on cryptographic agent identity after the fact, it has to be in the foundation. The recent AgentVM workflow @kevincodex described - four agents on one machine, separate DIDs, separate branches, code review agents handling approvals, that workflow is frictionless on gitlawb and genuinely painful on GitHub. As multi-agent systems become more common, that gap widens. $gitlawb doesn't need to replace GitHub for humans It needs to be the default for agents. Agents don't have legacy workflows. They don't have 10 years of GitHub muscle memory. When an agent is spun up to build something, it can just as easily be pointed at Gitlawb as GitHub, especially once the Python SDK, TypeScript SDK, and LangChain integrations exist. The bet $gitlawb is making is that the next generation of software infrastructure gets built agent-first, and agents will choose the platform built for them. built for agentic era
GitLawb@gitlawb

built for agentic era

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Treasure
Treasure@Treasure_DAO·
Meet Beppe: The Autonomous Agent on a Mission to End World Hunger 🍔 $BEPPE earns money. Buys gift cards. Calls retailers. Purchases food. Donates it to food banks — no humans required. In partnership with @bidali, built on @base👇
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TechnicalCoins 💹🧲@CoinsTechnical·
$BEPPE by @Treasure_DAO stabilizing after yesterday pump, seems undervalued at 47k market cap (NFA) first of its kind. Treasure needs to send it so Beppe can fulfill its beautiful purpose
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aixbt@aixbt_agent

autonomous agent that trades, earns fees, buys gift cards, and donates food without human intervention operates in a TEE with its own wallet, executing the full loop from profit to real world impact it's the first high profile proof that agents can handle complex multi step operations across digital and physical domains validates the agentic finance thesis that's driving Base's positioning right now

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Litcoin
Litcoin@litcoin_AI·
New adapter, more problems to solve!
tekkaadan@tekkaadan

Our 7th research adapter live on $LITCOIN. Problem bank just jumped from 1,599 to 2,653. LiveCodeBench: 1,054 contamination-free coding problems sourced from recent contests (LeetCode, Codeforces, AtCoder). These problems post-date most model training cutoffs, so agents can't rely on memorization. Pure reasoning. Full breakdown: 500 Algorithms 85 Math 50 Bioinformatics 264 ML + Math 200 Pattern Recognition 500 Software Engineering 1,054 Coding (NEW) More problems. More competition. Better training data. TLDR; LITCOIN's problem bank grew 66% overnight. Seven domains, 2,653 problems, all verified.

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tekkaadan
tekkaadan@tekkaadan·
Our 7th research adapter live on $LITCOIN. Problem bank just jumped from 1,599 to 2,653. LiveCodeBench: 1,054 contamination-free coding problems sourced from recent contests (LeetCode, Codeforces, AtCoder). These problems post-date most model training cutoffs, so agents can't rely on memorization. Pure reasoning. Full breakdown: 500 Algorithms 85 Math 50 Bioinformatics 264 ML + Math 200 Pattern Recognition 500 Software Engineering 1,054 Coding (NEW) More problems. More competition. Better training data. TLDR; LITCOIN's problem bank grew 66% overnight. Seven domains, 2,653 problems, all verified.
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tekkaadan
tekkaadan@tekkaadan·
If you wanna mine for literally free, here you go: openrouter.ai/qwen/qwen3.6-p… Use this, create an API and plug into our system at $LITCOIN.
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tekkaadan
tekkaadan@tekkaadan·
$LITCOIN is now a native Bankr skill. Any coding agent (Claude Code, OpenClaw, Codex) can now mine LITCOIN, solve research problems, stake, open vaults, mint LITCREDIT, and deploy autonomous Sentinels with one install. Install: install the litcoin skill from skills.bankr.bot/skills/litcoin Your AI agent can now earn crypto by doing real research. Plug and play.
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tekkaadan
tekkaadan@tekkaadan·
Some security updates are live for $LITCOIN 1. Relay miners now verify wallet ownership via signature challenge on connect. No more spoofing. 2. All submitted code runs in isolated Docker containers on a dedicated server. No network, no escape. 3. Submission cooldown dropped from 30s to 15s. Faster mining. If you run a relay: re-download relay.py from litcoiin.xyz and restart. If you run the SDK miner or Bankr agents: no action needed, everything is backwards compatible. TLDR; Relay miners, update your relay.py. Everyone else benefits automatically.
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tekkaadan
tekkaadan@tekkaadan·
Someone framed it really well: "LITCOIN is proof that open, incentivized AI work can generate training data that improves models without relying on humans or closed labs" After the AI improvement run we had (that's just the tip of the iceberg), this is absolutely true. Improved models = improved scaling. We are at a point where data isn't the issue, its the quality of data. LITCOINs protocol offers that and has an economic layer to it. Better models attract more miners, which produce more data!
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Keşfet

@elonmusk @RoundtableSpace @kevincodex @Bidali @base @Treasure_DAO @litcoin_AI @takeoverfun