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这几天 tensorcash:native 回调确实挺狠。上 SafeTrade 后涨了一大轮,现在有回撤也不奇怪。至少目前,我看好它的理由没变。
我的想法很简单:对我这样的普通人来说,有机会和前高盛、摩根士丹利的MD级高管,在如此早期共同创业参与,可能是一辈子难遇的机会。
以后我还是会不定期分享早期/冷门的 PoW 项目,这点不变。同时,我也会拿出一部分精力,长期参与 TSC 的建设和推广,毕竟这是我自己为这个周期准备的最大 BAG。干对退休,赌错重来,就是这么简单。
如果先把技术放一边,只聊人。
与聪明、牛逼、认真做事的人同行,是我理解的成功捷径之一。
TSC 的重要生态支持者之一 AskTilly,由前高盛董事总经理 @enrico_otta 与前摩根士丹利执行董事 @samjavadi 联合创立。
这也是我愿意深入研究 TSC 的原因:一个早期项目的潜力,往往也藏在选择参与、持续建设的人身上。
早期研究,识人也是识机会。 tensorcash:native
100ⓧ 观察 retweeted
TensorCash is a proof-of-work chain where the work is AI inference. Miners can sell this inference and get a chance at the next block with the same work.
It sets the standard for verifiable inference by attaching a proof of the model used to every answer.
"buy when there is blood in the streets"
Inference pipe works already proven
2 models atm ( will be more)
8B ~ 634k $ worth
27B ~ 376k $ worth
Of inference with cost at zero or close to zero just bcs miners are already paid via block reward but still people dont get it why i am saying that $TSC is Bitcoin of inference
100ⓧ 观察 retweeted
I keep coming back to tensorcash:native because I don't think the valuation reflects what they're trying to build.
If I pay for a particular AI model, I want to sure that said model is what actually ran. @Tensorcash is building around that problem. Miners run supported models and produce evidence you can check, and that same work can compete for mining rewards. The checks concern which model ran, not whether every answer it gives is correct.
Currently, TSC is around $78M FDV. A larger AI-mining project is around $3.89B in comparison, almost 50x the FDV. Obviously that doesn't mean TSC deserves the same valuation, but it does make me wonder how much is being overlooked here.
@AskTillyAI reports that a coding agent used a Tensorcash miner to build an animation, with the miner paid in TSC. They published receipts and a transaction link. I want to see more of this, especially customers coming back and paying again.
There is also a 40% mining reward cut at block 45,045, taking the reward from roughly 55.60 to 33.36 TSC per block. If paid usage grows while fewer new coins are being issued, that becomes a very interesting setup.
Liquidity is thin on @safetrade and repeat demand still has to prove itself. But a project trying to make AI compute useful, checkable and payable at this valuation deserves a closer look imo. The video explains the idea better than a wall of technical terms.
100ⓧ 观察 retweeted
web3老登在@R0setiger老师的指导下,第三十三次用剪映做视频,@Tensorcash ($TSC)是我视频路上的第三十三个作品。
这轮是不是真的加息牛,我们拭目以待!
TensorCash($TSC)深度投研报告
报告日期:2026年10月18日
研究对象:TensorCash(官网 tensorcash.org ,官推 @Tensorcash,区块浏览器 scan.tensorcash.org)
所在链:自有 Layer 1(PoW 公链,2026年6月主网上线)
代币:$TSC,链原生币,没有合约地址
项目阶段:主网已运行约 4 个月,官网显示区块高度 31,717,当前在第 6 个纪元,每块奖励 55.5984 TSC,已发行约 433.5 万枚,占上限的 20.5%
一、一句话结论
TensorCash 想做的是能自证清白的 AI 推理网络。你向 AI 服务商提问,服务商有可能偷偷换成更便宜的模型,你根本看不出来。
TensorCash 让矿工用指定的模型跑推理,推理结果同时作为挖矿的"工作量证明",别人可以复算验证。同一块 GPU 一份算力干两份活:给客户出答案,同时争夺区块奖励。
在这之上,它还把金融功能(发资产、结算、算力期权)直接写进协议,不用智能合约虚拟机。
二、核心信息:拆开讲
1. Proof of Inference(推理证明)怎么回事
大白话版:AI 写字时每一步都要"随机"挑下一个词。TensorCash 把这个随机数换成区块链上的公开数字,谁都预测不了。验证人拿同一个模型、同一个输入、同一个公开数字重跑一遍,挑出来的词应该一样,一样就说明确实是这个模型跑的。
官方文章说是"在统计容差内可复现",也就是不是逐位完全一致,这点在风险里再说。
7月,验证机制抓到一个矿工偷偷用更便宜的 fp8 配置,它的两个区块被判为零工作量。9月升级到 Proof v4,新增"智力乘数"。官方公开的测试里,诚实证明零误判,换模型、偷偷微调、压缩到 4-bit 三种造假都被抓到。这部分是官方自报,我没有独立复现。
2. 和 Pearl($PRL)的区别
Pearl 把挖矿建立在"矩阵乘法"这个 AI 基础运算上,让 AI 算力顺便也能挖矿。TensorCash 更进一步,要证明某个具体模型真的生成了某个具体答案。一个是"让算力有用",一个是"证明答案可信",针对的是买家最关心的那一环。
3. 代币经济($TSC)
总量上限 21,184,153 枚,预挖 0,售币 0。初始每块 715 TSC,每个纪元奖励乘以 3/5,共 48 个纪元,纪元长度从 715 块逐步增长到 732,160 块。
创始人是匿名的 Imosuke Takakuni,沿用比特币的匿名创始传统,抗量子签名从创世块就支持。
我的观察:前 6 个纪元已经发出 20.5%,主网才跑了 4 个月,说明早期矿工拿得最多。"零预挖"不等于早期没人囤币,创始人有没有自己挖,我没查到公开信息。
4. tensorcash:native 的价值从哪来
所有交易手续费都用 tensorcash:native 付,付给出块矿工。通过 AskTilly 买推理,大部分归矿工,AskTilly 留一部分,其中一部分进入 tensorcash:native 国库。Bob Labs 的报价是每百万输出 token 收 1 tensorcash:native。
发行资产要押至少 5 tensorcash:native,矿工从资产赚够费用后退还。注册新模型要押 5 tensorcash:native,被拒绝或之后被封禁就销毁。算力衍生品要押 tensorcash:native 作抵押。
大白话:$TSC 是"全网的结算货币 + 抵押物",而不是"每笔费用自动销毁"的通缩币。大部分价值来自有多少人真用这条链。
5. 金融层(官网标注已在主网上线)
原生资产(稳定币、股份、债券、基金,带法律文件和 KYC)、结算(现货、回购、远期)、算力衍生品(挖矿难度的期权和差价合约,用 tensorcash:native 结算)、直接交易(公告板谈判、链上一起签名,支持和以太坊换币)。
7月首批算力期权发行,8月首批股份在主网发行。
没有通用智能合约虚拟机,意味着没有自定义合约代码可攻击,DeFi 常见的黑客手法进不来。代价是功能只能是协议写好的那几样。
6. 网络数据(多为官方自报)
官方称过去 24 小时平均每秒产出约 9829 万个 Qwen3-8B 的输出 token,称约 30 天吞吐量增长 97%。
8月"去中心化日"(区块 24,000),约 850 个地址在 5 个矿池里挖矿,同时有多个 AI 模型各自独立难度。
7. 近期路线图
2026 年 Q4:注册 Qwen3.8-27B 和 DeepSeek V4 模型、AskTilly 手机 App、Robinhood 桥、社区钱包和浏览器插件。
2027 年 Q1:注册一个最先进的模型、Proof v5(给延迟和上下文长度定价)。
2027 年 Q2:带链上订单簿的 DEX,还在研究阶段。
8. 市场情况
近期行情站显示价格约 5.7 美元,市值约 2374 万美元,流通约 415 万枚,主要交易所是小型中心化交易所 SafeTrade。另一个站点显示 24 小时成交额约 24 万美元。
我的换算:按 5.7 美元算,全部 2118 万枚发完的完全稀释估值约 1.2 亿美元,是现在流通市值的 5 倍左右。各行情站数据口径不一,请以实时数据为准。
三、我关注的亮点
1. 解决的是真问题:AI 推理"挂羊头卖狗肉"是真实痛点,而且离"AI 代理管钱"这类场景越近,越需要可验证。
2. 一份算力两份活的设计有说服力:矿工的算力同时服务客户和保安全,比"纯烧电"的 PoW 更站得住。
3. 路线图执行不拖拉:6 月主网,7、8、9 月各有实际交付,没有只画饼。
4. 发行干净:0 预挖、0 售币、硬顶、公平挖矿,叙事上和比特币最接近。
5. 金融层不是空头支票:资产发行、结算、算力期权都已有上链记录,而不是路线图。
6. 团队有传统金融背景的参与者:AskTilly 的两位联合创始人来自高盛、摩根士丹利,主要在需求侧发力。
四、最大的风险清单
风险①:算力是供给,付费需求还没看到。每秒近 1 亿 token 说明矿工在跑,但这是"产出能力",不是"有人付钱买"。Bob Labs 目前报价是每百万 token 收 1 tensorcash:native。按现价算,这是几美元每百万 token,和主流平台上小模型的价格比,我没核实,建议你自己对比。矿工现在的收入主要靠区块补贴:55.6 TSC 约合每块 300 多美元,不是客户付费。
风险②:流动性很薄,且集中在一个小所。价格主要来自一个中心化小所的 TSC/USDT,没有成熟的 DEX 或衍生品。日成交额只有几十万美元,大单容易砸穿,请别按"总市值"估算你能卖出多少。
风险③:FDV 远高于流通市值。流通 20% 左右,后面 80% 要在很长的时间里陆续挖出,持续有新币进入市场。"硬顶"不等于没有抛压。
风险④:创始人匿名,核心推广靠少数人。AskTilly 创始人也是早期贡献者,需求侧和协议本身有利益关联。阅读时要意识到这是偏多的材料。
风险⑤:验证建立在"统计容差"上。官方说法是"在统计容差内可复现",意味着验证不是逐位对账,而是概率判断。这类新型密码经济设计,需要长时间对抗才能证明稳。我没查到第三方安全审计。
风险⑥:目前只有小模型,大模型要等交付。现在跑的是 Qwen3-8B。更大的模型(27B、DeepSeek V4、SOTA 模型)要等 Q4 到 2027 年 Q1,延期或验证成本过高都会影响需求。
风险⑦:金融层有监管不确定性。在链上发行"股份、债券、基金",哪怕带 KYC,也可能被一些司法辖区认定为证券相关业务,这点本报告不做法律判断。
风险⑧:同类竞争。"有用的 PoW"是热门叙事,Pearl 等项目走不同路线,后来者可能抢占生态位。另外,Q4 要上的 Robinhood 桥会引入跨链风险。
五、我怎么看它的价值
⭐⭐⭐⭐☆(技术和产品角度)
"推理即挖矿 + 可验证"切中真实痛点,机制自洽,路线图按期交付,金融层已经上线。扣的一星在于:付费需求还没跑出来,安全性也需要时间考验。
⭐⭐⭐☆☆(代币角度)
发行干净、总量有限,但流动性薄、FDV 是流通市值的 5 倍左右,价值主要来自"链上有多少人用",现在这部分还没被数据验证。更适合当作"押注可验证 AI 推理这个叙事"的高波动仓位。
六、如果要跟踪,我会盯这几个点
1. 付费推理收入:AskTilly、Bob Labs 的真实销量,对比矿工拿到的区块补贴
2. 全网算力和矿工数量、矿池集中度,是否从 850 地址继续增长
3. 大模型(27B、DeepSeek V4)是否按期注册,验证成本是否可控
4. Proof v4 之后有没有出现新的造假手法,验证是否被攻破
5. SafeTrade 之外有没有新的上所或 DEX,深度有没有改善
6. Robinhood 桥上线后的实际使用和安全
7. 算力期权、链上资产的真实交易量,而不是只有"首单"
8. 匿名创始人的地址有没有异动,早期挖矿持仓分布
七、总结
TensorCash 用"推理即挖矿"的设计,同时解决了"如何证明 AI 答案出自指定模型"和"如何让挖矿算力有用"两个问题,再把金融层写进协议。
发行干净、路线图交付快,金融层已经上线,这几点在同类项目里比较扎实。
但它仍是主网才 4 个月的早期项目:付费需求没被验证,流动性薄,FDV 是流通市值的 5 倍左右,创始人匿名,推广偏多头视角。
建议心态是小仓位观察,用"付费推理收入 / 区块补贴"这个比值,和"大模型是否按期上线"这两个硬指标来验证,而不是被"推理资本市场是下一个最热叙事"这类说法带节奏。
说明:算力、增长率等数据多为官方自报,行情数据口径不一,请以官方渠道(@Tensorcash、tensorcash.org、scan.tensorcash.org)和实时数据为准。
本报告不构成投资建议,DYOR。
100ⓧ 观察 retweeted
This is the final boss dev and stand no chance. Why the power of 2⃣ matters.
ciphernom.substack.com/p/pow…
$MDS
Power-of-Two Denominations: Why Coins Come in 1, 2, 4, 8 ciphernom.substack.com/p/pow… #midstate $mds midstate.cash
100ⓧ 观察 retweeted
🦁 NEPTUNE CASH neptune-cash:native — A PRIVACY LAYER 1 THAT DESERVES MORE ATTENTION
Every cycle, thousands of crypto projects compete for attention. Most are fighting over the same narratives.
But occasionally, you come across something that makes you want to dig a little deeper.
For me, that's @NeptuneCash @CodewordNeptune .
I've been researching neptune-cash:native, and the deeper I go, the more interesting the underlying technology becomes.
Here's why I think it's worth putting on your radar.
1. NOT JUST ANOTHER PRIVACY COIN
Neptune Cash is an independent, open-source Layer 1 blockchain built from scratch.
It combines several technologies that could become increasingly important over the coming years:
• Privacy by default
• Post-quantum cryptography
• zk-STARK zero-knowledge proofs
• Proof-of-Work security
• Programmable transactions
• A roadmap towards blockchain succinctness
The ambition is to create private, programmable digital money without sacrificing security or decentralisation.
And importantly, this isn't just a whitepaper. Mainnet launched in February 2025, and development continues.
2. THE PEOPLE BEHIND IT
Co-founder @aszepieniec Alan Szepieniec is a cryptography researcher with an extensive record of published academic work.
In 2020, he co-authored Transparent SNARKs from DARK Compilers alongside Benedikt Bünz and Ben Fisch.
That research forms part of a broader field of cryptographic innovation explored by researchers associated with Microsoft Research and a16z.
To be clear, this does NOT mean Microsoft or a16z have partnered with Neptune Cash.
It does, however, demonstrate the calibre of research associated with one of Neptune's founders.
That's a meaningful distinction in an industry where technical claims are often much bigger than the technology behind them.
Research:
eprint.iacr.org/search?autho…
3. TOKENOMICS — AN INTERESTING SUPPLY STRUCTURE
NPT has a maximum supply of 42 million coins.
• 42M maximum supply
• 1.98% initial premine
• Proof-of-Work issuance
• Approximately three-year halving intervals
• 50% of mining subsidies immediately liquid
• 50% time-locked for three years
That last point is particularly interesting.
Half of each new mining subsidy cannot immediately enter the liquid market.
This potentially reduces short-term miner selling pressure, although those coins eventually unlock and become available.
Of course, limited circulating supply doesn't guarantee price appreciation. Liquidity and demand matter just as much.
4. THE TECHNOLOGY
Neptune uses zk-STARKs to prove that transactions are valid without publicly revealing the underlying financial information.
Its Triton VM provides the cryptographic foundation for programmable transactions.
The network also separates mining into transaction proof upgrading, block composing and proof-of-work guessing.
One of the most ambitious developments is succinctness, which aims to allow participants to verify blockchain history using dramatically less information.
Full succinctness is not yet deployed, and broader smart-contract functionality is still developing.
If successfully delivered, these capabilities could make Neptune a very interesting competitor in the privacy-focused blockchain sector.
5. WHY I'M ACCUMALATING
Financial privacy is becoming an increasingly important conversation.
At the same time, quantum computing is raising questions about the long-term security of today's cryptographic systems.
Neptune is attempting to address both while building infrastructure for programmable financial applications.
That's an ambitious combination.
But let's be clear: this is an early-stage, high-risk project.
The network has previously required important security fixes, and wider adoption, developer activity, liquidity and delivery of its roadmap still need to be demonstrated.
I'm not suggesting any of this guarantees success.
I'm highlighting a project with serious technical ambitions and a research background that I believe deserves more attention.
6. HOW TO GET neptune-cash:native
Access to native Neptune Cash remains relatively limited.
The routes currently worth exploring are:
• SafeTrade: safetrade.com — NPT/USDT market
• Mining: Participate in the network's proof-of-work mining process
• Approved community escrow: Private OTC transactions using a verified, community-approved escrow arrangement
For escrow transactions, independently verify the authorised service or contact through Neptune's official community before sending funds.
⚠️ Be particularly careful not to confuse native neptune-cash:native with XNT (Neptune Privacy) or wrapped neptune-cash:native on Base. These are not interchangeable native assets.
Official website and whitepaper:
neptune.cash
Technical documentation:
docs.neptune.cash
Research rabbit hole:
nptstats.org/rabbit-hole
Network statistics:
nptstats.org
Development discussions:
talk.neptune.cash
I've been around crypto long enough to know that great technology doesn't always result in a successful investment.
But I also believe some of the most interesting opportunities are found before the wider market starts paying attention.
Neptune Cash is one I'm researching closely.
The question now is whether the team can turn that technical foundation into real adoption.
Has anyone else been researching neptune-cash:native? I'd be interested to hear your thoughts.
当然,我太爱这个感觉了。 $BNT
卓越的研究 tensorcash:native
Agentic tokenized finance needs a verification + settlement layer
$TSC is building it at the protocol level. Nobody else has all the pieces on one chain.
wrote up why 👇
100ⓧ 观察 retweeted
Funny timing seeing Vitalik bring this up, because this is exactly what makes tensorcash:native so interesting to me.
What if the same GPU hardware securing a blockchain could also generate revenue by serving actual AI inference customers?
That’s exactly what TensorCash is building, and we’re now seeing the first serious examples of it working in practice.
Just yesterday, @AskTillyAI ran a complete 28-minute autonomous coding session through a TensorCash miner, with the miner receiving payment in $TSC
And that’s the part I find fascinating. Miners aren’t just competing for block rewards anymore. They can also monetize the AI inference they’re already performing as part of mining.
Considering how capex-heavy AI inference is, I think this could fundamentally change the economics of Proof of Work
One of the most compelling implementations of useful PoW I’ve come across so far. And imo, still very early
xitter.cf/tensorcash/status/2111…
100ⓧ 观察 retweeted
One day after Qwen3.8-27B went live on mainnet, it is already serving paid traffic: a full coding session, served by a TensorCash miner and sold through @AskTillyAI, an independent operator on the network.
Every request came with a proof of which model did the work.
An autonomous coding agent ran for 28 minutes on a @Tensorcash miner via the AskTilly API. One prompt, and it built this animation on its own for the client.
We sold the session for $0.16 and the miner was paid in tensorcash:native. A day after the model went live, already at market rates.
一个完整的AI Coding会话,由一名 @Tensorcash 矿工提供算力,并通过网络上的独立运营商 @AskTillyAI 出售。
每个请求都附带了证明,表明是哪个模型完成了工作。
tensorcash:native
An autonomous coding agent ran for 28 minutes on a @Tensorcash miner via the AskTilly API. One prompt, and it built this animation on its own for the client.
We sold the session for $0.16 and the miner was paid in tensorcash:native. A day after the model went live, already at market rates.
100ⓧ 观察 retweeted
Devs cooked on the new explorer explorer.blocknetcrypto.com/
量子计算机的研发也要AI加速了
New from our STEM Fellows Program: Designing more efficient quantum circuits with Claude.
Given plain-language instructions, Claude Mythos 5 designed quantum circuits that improve on the best published ones, sometimes by an order of magnitude or more.
More efficient circuits reduce the resources needed by quantum algorithms, which could bring quantum computing applications in chemistry and materials science within reach sooner.
Read more: anthropic.com/research/desig…
今年运气不错,赌对了一些项目,踩对了一点节奏。
入圈第五年,庆幸自己做了个账号并且还坚持下来了,频繁记录自己真的很有帮助,深耕一个赛道努力做到更优秀。
另外也很庆幸今年组建了游侠矿工和VibeMining社区,遇到了不少牛逼的朋友可以并肩作战。
我说过的:保持乐观,你只管努力向前,在路上你会碰到同行的朋友,收获你想要的结果。
这两天不少人私信问我 @safetrade 上的低市值“欢乐豆”,干脆把我了解的项目整理一下:主网上线时间较新、体量较小,主要在 SafeTrade 能交易。
涨跌别问我,我也不知道。我只知道,Safetrade上币都是免费的,既然他们选择list,那或许会有一些亮点,而在研究后,我知道这些项目谁在背后,这些信息或许对你有帮助,但只是研究线索,绝对不是投资推荐。
1|Qubitcoin qubitcoin-2:native @qubitcoinx
做量子电路模拟挖矿的 BTC 分叉。创始人 @MYShalaginov 有 MIT 博士后及量子光学、纳米光子学研究经历,科研背景很不错。
不过,我对他在项目上的持续投入经历抱有疑问。我看过的他自己主持的播客,没见过他提自己的项目。创始人背景这么好,如果能把更多精力放在建设上自己的项目就更好了。
流通市值约 $1.54M|最大供给口径 FDV 约 $14M
2|Parano1d $NOID @Parano1dComm
通过递归证明验证链状态,以 PoW 确定顺序,尝试减少新节点对完整历史重放的依赖。
开发者 @ignotus_nemo 未实名,但从公开文章和以太坊论坛的讨论看,我个人觉得是想认真做事的,技术方向也有些意思。
我的个人经历比较惨:早期挖过几万个,低位也买过一点,结果 0.01 多就卖了,最近看着上涨,拍断大腿。
流通市值750K|无固定发行上限,需结合排放计划评估后续稀释与抛压
3|NeptuneCash $NPT @NeptuneCash
主打隐私和抗量子方向的 PoW 公链,核心设计包括 STARK 零知识证明和 Mutator Sets。
核心开发者包括 @aszepieniec、@ThorkilVaerge。经历25年社区分叉后,项目仍在持续建设,我一直比较关注它的技术路线,技术开发依然活跃。
流通市值560K|最大供给口径 FDV 约 $5.5M
4|Neptune Privacy neptune-privacy:native @NeptunePrivacy
2025 年从 NPT 社区分叉出来的项目,分歧主要围绕代币发行模型和发展路线。
开发方向包括 L2“利维坦”,实际交付还需继续跟踪。就我的观察,社区在传播和推广上更积极,也已经上了 MEXC。
流通市值约 $625K|无固定发行上限,需结合排放计划评估后续稀释与抛压
5|Compute Substrate $CSD
一个挺有个性的“链上公共建议箱”:让人或程序提交想法、表达支持,形成可复核的排行榜。
链只记录支持,不判断观点真假,也不替参与者执行决定。更像一个协调与公共记录的应用协议实验,而不是又一条泛用公链。
协议发起者 @matsjulner,也可以关注 @Cairn_substrate、@0xInverse 生态开发者账号。
流通市值约 $17K|最大供给口径 FDV 约 $300K
6|Midstate $MDS @cypherpunkgold
以 BLAKE3、哈希签名和顺序 PoW 为基础,走抗量子电子现金方向。
可关注 @phraudsta 的公开内容,以及他的播客 ciphernom.substack.com。Dev行文有密码朋克色彩,但真实职业履历仍未确认,推特号倒是粉丝不少,有一些加密OG关注和互动。
流通市值约 $21K|FDV约 $68K
7|Parallax $LAX @prlxchain
ETN 生态开发者 @andre_patta 发起的新项目,采用 XHash PoW,支持 EVM 智能合约。
这个在我这里更偏“欢乐豆”观察仓:先看开发者有没有持续交付,以及网络和生态能不能慢慢做起来。
行情站流通市值约 $12K|最大供给口径 FDV 约 $86K
另外还有 @Kvanta5_QR,也是抗量子方向,但开发者身份和项目沿革仍有待核实,据说是 @BitcoincashII 的同一个人 ,不知道Safetrade觉得他哪方面有亮点,还不清楚。
以上就这些,全部免费分享,祝你们好运。
100ⓧ 观察 retweeted
Qwen3.8-27B got pushed live on @Tensorcash mainnet today, with benchmarks putting it up there with Opus 4.6 on coding
Saw this interesting data:
~231M Qwen downloads on HF in 30 days > even if part of that is data centres pulling the same weights over and over, it’s still 7x the next model developer, showing real adoption.
Labs should let networks like TensorCash serve their models and keep their own GPUs for training the next ones.
Qwen3.8-27B (bf16) is now registered on TensorCash mainnet, a model reported as competitive with today’s top models.
From now on, coding and autonomous agent tasks can be bought as inference from the TensorCash network, a large step up from Qwen3-8B.
Block producers and miners are advised to upgrade to 1.2.3a-r2 before mining with the new model.


































