ImBananas (τ,τ)

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ImBananas (τ,τ)

ImBananas (τ,τ)

@ImBananas4

I'm bananas

Katılım Mart 2021
252 Takip Edilen489 Takipçiler
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ImBananas (τ,τ)
ImBananas (τ,τ)@ImBananas4·
@404gen_ SN Already with product producing 3D Models. 10M Mcap @Corcel_X SN19 LLM online with Users. 20M MCap @rayon_labs SN64 & 56 has Users. 94M Mcap & 38M Mcap @webuildscore SN44 soon online product with partners. 9M Mcap Buying what has a product & great team backing it $TAO
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Score - Subnet 44
Score - Subnet 44@webuildscore·
Fires don't wait to be noticed. 'Detect-fire' is live on SN44: real-time fire, smoke, and extinguisher detection on any camera feed. Starter pack ↓
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Score - Subnet 44
Score - Subnet 44@webuildscore·
'Detect-fire' launches Monday. Built for fuel stations, useful anywhere safety matters: shops, bars, venues, or more. Starter pack in comments.
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Manako
Manako@manakoai·
Our new website is live. See how Vision Agents work, explore solutions and blog posts, and sign up for early access on our waitlist. manako.ai
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RVCrypto
RVCrypto@RvCrypto·
𝐁𝐢𝐭𝐭𝐞𝐧𝐬𝐨𝐫 $TAO 𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭: 𝐒𝐜𝐨𝐫𝐞 (𝐒𝐮𝐛𝐧𝐞𝐭 𝟒𝟒) – 𝐟𝐫𝐨𝐦 𝐯𝐢𝐬𝐢𝐨𝐧𝐬 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬 𝐭𝐨 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Most AI never leaves the lab. It gets tested, benchmarked and demoed. But it rarely gets deployed at scale inside real businesses. Score just crossed that line. 𝐦𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞 Subnet 44 (Score), through Manako, just went live with a formal enterprise alliance with PwC. Not a pilot or a marketing partnership. A fully signed deal, after 8 months of legal and technical due diligence. PwC France will now distribute Manako’s Business Operations World Model, powered by Score, to enterprise clients across multiple industries. This is the first time a Bittensor subnet is being taken to market by a Big Four firm. 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 Enterprises already sit on massive amounts of data. Cameras and sensors are everywhere. But almost none of it is actually used to drive decisions. 🔸 Incidents are recorded but not acted on 🔸 Downtime is visible but not prevented 🔸 Losses are detected but not stopped The infrastructure exists but the intelligence layer doesn’t. 𝐚𝐜𝐭𝐢𝐨𝐧 Manako, powered by Score, turns that passive data into real-time systems of action. This creates automated workflows with operational triggers and real-time decision making. It’s not just seeing what’s happening. It’s acting on it immediately. 𝐏𝐰𝐂 PwC isn’t just another partner. They are one of the largest advisory firms in the world: 🔸 $60B global revenue 🔸 Presence in 130+ countries 🔸 Direct access to enterprise decision makers This changes distribution completely. Instead of Score trying to reach enterprises, enterprises are now introduced to Score through PwC. That shortcut is everything and also directly validates the product. 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 One key insight from the partnership: Enterprise clients don’t care about emissions. They care about outcomes. Score is built around that idea. Validators now run dynamic challenges tied to real-world problems. New use cases can be added without redeploying the subnet. The system is evolving from benchmark optimization to real-world problem solving. 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 In the same week Manako / Score also won Paris Blockchain Week (Bittensor track) after 1,000+ applications. Both technical and institutional validation are lining up. Score is building AI that gets deployed. This is how decentralized AI starts competing in the real world.
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CryptoCondom
CryptoCondom@crypto_condom·
This 👇 You’re retarded if you think Tao will gain moat as anything other than a speculative AI proxy.
Justin Bons@Justin_Bons

Bittensor is a crypto-ponzi; unsustainable nonsense! TAO has no utility or PMF; it is all driven by token inflation: $328M worth of new tokens are printed annually, yet only $15M in annual revenue was generated! Subsidies from holders pay for subnets; economically bankrupt: 🧵 Token inflation is used to give people the illusion of low cost. As the truth is that creating AI models in a "decentralized" way is far more expensive. While offering no additional utility or benefits It is all theatre; subnets are not created as competitive products. They are created simply to exist & extract as much value out of TAO investors as possible Ponzinomics & Extraction: For example, the Pine Analytics data proved that unsubsidized inference on the Chutes subnet would cost up to 3.5x as much as centralized competitors such as Deepseek or TogetherAI! What makes it all so much worse is that token holders pay for these subnets through inflation. Yet, none of the revenue actually flows back to the token holders. The subnet owners get to keep 100% of the revenue! On top of 18% of emissions, just because... That is a borderline scam, extremely profitable for subnet operators, but setting up token investors for extreme loss when the system inevitably collapses As TAO has a 21M supply limit, which might be appealing to ignorant token investors. But also implies that the network will entirely collapse, as it is fundamentally unsustainable, just like BTC Inefficient & Expensive: The problems run even deeper than that, as is the case with most DePin projects that rely on subsidies rather than real-world value accrual: The reason why decentralized computing is so inefficient is that it requires verification & replication. Within a trustless environment, we cannot simply trust the work done by individual nodes. Instead, the work must be replicated multiple times over, introducing extreme inefficiencies. This is not so bad for simple TX's, but for serious, large computing tasks, this becomes a deal breaker This is why 41% of the rewards go to "validators" whose sole task is to verify that the work being done is legitimate! This only adds to the massive inefficiency already introduced by latency within a distributed network. There are several good reasons why AIs are trained in massive data centers with cards equipped with extremely low-latency, high-bandwidth connections. Something TAO is unable to directly compete with in technical & economic terms Product Theatre: In some cases, it is worth paying a premium for decentralization; one example of this is decentralized storage However, this is not the case for the training of AI's, as this is a one-off cost usually carried out by a centralized for-profit organization. As running the AI itself is much cheaper & even achievable by individuals on a single consumer-grade machine... So, what is the incentive for this centralized organization to use a more expensive method? That does not even result in a commercially viable product, due to the lack of scale... The answer is that there is no legitimate incentive! As there are only so many people they can fool into such a ponzinomic scheme, creating an upper bound on the size these subnets can grow to, which is nowhere near what large centralized AI companies can achieve today Conclusion: There is no future in such a bankrupt design! It is all theatre to extract as much as possible; subnets are not created as competitive products. They are created simply to exist & to extract as much value out of token investors as possible! There is much I did not cover in this critique, including "decentralization theatre", modularity, bad governance, perverse incentives & terrible UX. This critique was purely economic, which is bad enough to reject TAO on that basis alone! As value investors, we have to avoid such nonsense. It is not only dangerous from an investment perspective, but it also harms the industry as a whole. The more we prop up nonsense like this, the more difficult it will be for outsiders to take our industry seriously That is why we must speak out, as we care about crypto's ultimate goals. Financial freedom, censorship resistance, privacy & more Reject the nonsense, as the numbers & facts speak for themselves. Crypto already presents us with such a beautiful dream for the future; let's not spoil our opportunity by wasting our energy on half-baked ideas like TAO Crypto deserves better than that. So, help us spread this message far & wide. As the truth will set us free! 🔥

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@jason
@jason@Jason·
Bought another ~$50k in $tao Current exposure is ~$750k My price target is $500 in 2026 My thesis is subnets are shipping product This is not investing advice, this is me asking you to savage my trade so I learn #jaytrading
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Algod
Algod@AlgodTrading·
I got food poisoning, wish me luck boys
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Score - Subnet 44
Score - Subnet 44@webuildscore·
IT’S COMING HOME 🏆 Out of 1000+ startups that applied to the @ParisBlockWeek startup competition, we take the win. Big moment for us and for the Bittensor eco. Huge congrats to @arnod3f and @manakoarchie on the stage today.
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ImBananas (τ,τ)
ImBananas (τ,τ)@ImBananas4·
@JesusMartinez @webuildscore Bittensor investors need to invest in people that deliever. Sam only delievered because he was being carried by const. Max doesnt need help only conviction
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Jesus Martinez
Jesus Martinez@JesusMartinez·
A Big 4 firm just signed an alliance with a Bittensor subnet. The official press release names "decentralized AI Bittensor blockchain" by name. The firm is PwC France and Maghreb. Number 2 in the Big 4. $56.9B in global revenue. 364,000 employees across 136 countries. The branch in this story has 7,000 people. The subnet is Score. Subnet 44 on Bittensor. Operated by Manako Labs. What Manako does: • Connects to existing camera networks. No new hardware • Operations leaders describe what they need in plain language • System monitors, understands, and triggers real-world actions • Lockdowns, dispatches, audit reports, workflow automations • Not alerts to a dashboard. Actions executed in the world There are 1 billion cameras watching the world right now. 21 billion connected sensors. Almost none of it drives action. That gap is billions of dollars in retail shrinkage, manufacturing downtime, and liability exposure every year. PwC just signed up to fix it using a Bittensor subnet. Quote from Jean-Thomas Ledore, Strategy Partner at PwC France and Maghreb: "Physical AI is rapidly moving from emerging technology to an operational necessity." That was story one. Story two. Macrocosmos. Subnet 9. They published a research paper on April 13. It's called ResBM. Residual Bottleneck Models. It solves the single hardest problem in decentralized AI training. Bandwidth. Training a frontier model means splitting it across many GPUs. Those GPUs send each other massive amounts of data every step. Datacenters do this with $10,000 fiber cables. Home internet is roughly 300 times slower. That gap is why every frontier model has been trained inside Google, Meta, OpenAI, and Anthropic. ResBM compresses the data sent between GPUs by 128x. With near zero loss in model quality. The numbers from the paper: • 2 billion parameter Llama-3 model • Trained on 26 billion tokens of C4 • Uncompressed baseline: 21.75 perplexity • ResBM at 100x compression: 21.60 perplexity (better than baseline) • ResBM at 128x compression: 21.77 perplexity (basically tied) In real training throughput on a consumer 80 Mbps line: • Old way: 609 tokens per second • ResBM: 7,837 tokens per second • 12.8x speedup over the same internet connection The architecture is already shipping into IOTA on Subnet 9. Story three. Ridges AI. Subnet 62. They build autonomous software engineering agents. Direct competitor to Cursor, Claude Code, Codex. They hit 80% on SWE-Bench in roughly 45 days with under $1M paid to miners. Backed by Stillcore Capital. Powered by Chutes for compute. Their consumer product is Ridgeline. $29 a month. Roughly 5 to 7 times cheaper than Claude Code or Codex at comparable benchmarks. Today they shipped four production features: • Rerun. Add context to a previous run, run it again • Stop. Kill a current run mid-task. No wasted compute • Collapsible chat view. All runs for one issue threaded • Commit stats per run with diffs The current top miner score on the network is 87.8%. Three subnets. Three real shipments. Same week. A Big 4 firm. A research breakthrough. A consumer product update. None of this is vaporware. All of it is using existing Bittensor infrastructure today. The story isn't TAO price. It's what's getting built on top of it.
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Max
Max@MaxScore·
Vision AI is no longer a future concept. It is becoming an operational necessity for any organisation that operates in the physical world. The gap between observation and action is where enterprises are losing substantial amounts of value every year. This alliance with @PwC_France is about helping them close it, with world models that work at scale, not pilots that never ship. The opportunity is global in several industries NB: I'll be live on @webuildscore's account in a few mins to talk about this, tune in!
Manako@manakoai

Manako × @PwC_France We've formed an alliance to bring physical AI to enterprise at global scale. PwC France will lean on Manako's Business Operations World Model, powered by @webuildscore to turn their clients' existing camera networks into real-time systems of action. 1/5

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Jesus Martinez
Jesus Martinez@JesusMartinez·
A 364,000 person consulting firm just plugged itself into a Bittensor subnet. The press release names the blockchain by name. Twice. Crypto Twitter has not noticed. PwC France and Maghreb formed an alliance with Manako Labs. Big 4 firm. 7,000 employees in region. Part of a global network of 364,000 people across 136 countries. Manako builds the Business Operations World Model. It runs on Score. Score is Subnet 44 on Bittensor. The numbers: • PwC France and Maghreb: 7,000 employees • PwC global network: 364,000 people, 136 countries • Manako: turns enterprise camera feeds into real-time triggered actions • Powered by Score, Subnet 44 on Bittensor • Alliance targets retail, logistics, manufacturing, energy, infrastructure This is not a pilot. Not a proof of concept. PwC is integrating Manako into its AI advisory practice and selling it to enterprise clients. Every Fortune-scale company PwC France touches is now a potential Score deployment. The subnet does not have to do its own enterprise sales anymore. The quote that matters. Jean-Thomas Ledore. Strategy Partner. PwC France and Maghreb. On the record: "By partnering with Manako and leveraging Score decentralized Ai infrastructure on Bittensor blockchain, we enable our clients to move faster beyond observation and experimentation." Big 4 strategy partners do not name-check L1s casually. That sentence took weeks of legal review. The setup nobody is pricing in: • 1 billion cameras in the world • 21 billion connected sensors • Most of it recorded, none of it acted on • Manako turns those feeds into lockdowns, dispatches, audit reports, workflow automations • PwC sells the deployment • Score does the compute • TAO secures the network For 18 months people have asked the same question. Do Bittensor subnets generate real revenue. Or are they just emissions farms. This is the answer. A subnet productized into a deployable enterprise tool. Sold through Big 4 channels. To the largest companies in the world. TAO is down. Subnet narrative is dead. Crypto Twitter moved on. Meanwhile a 364,000 person consulting firm is quietly building an advisory practice on top of Subnet 44. Pay attention.
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Manako@manakoai

x.com/i/article/2044…

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ImBananas (τ,τ)
ImBananas (τ,τ)@ImBananas4·
@here4impact @bittingthembits They can steal with a big portion and then if they sit their arses doing nothing they will lose alpha value on their locked staked. The previous owner actually wins because the stealer had to buy his alpha and unlocked his stake... Not profitable to steal
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Michael D. White
Michael D. White@here4impact·
@bittingthembits how does this prevent someone with a large stake from coming along and "stealing" a subnet? why not just impose 1) notification requirement and 2) volume restrictions for BOTH owners and large holders (to minimize "insider" trading)? eg: x.com/here4impact/st…
Michael D. White@here4impact

these are all great points from @0xEkxr. what would a pre-sale notification (eg Rule 144 for equity insiders) look like on bittensor? 1) notification requirement: owners have to notify investors they plan to sell 2) volume restriction: wallets with a stake >= xx% have automatic volume restrictions as they sell tokens this could circumvent (or combine with) a token-lock requirement. also: should the above (or something like it) also apply to large holders ("affiliates") as well as owners to minimize the "pump and dump" action of a few large wallets? this would minimize "insider trading": wallets that accumulate a large stake of a particular subnet before plans for that subnet are publicly announced cannot just unload without proper 1) notification and 2) volume controls. sec.gov/reports/rule-1… #bittensor $TAO $dTAO

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Andy ττ
Andy ττ@bittingthembits·
Founder rugs have been destroying communities since the beginning of this industry 🚨 We now have BIT-0011 Proposal 3 days ago, a $TAO subnet founder dumped 37,000 $TAO worth of Alpha on his own community and walked away 3 days later, the protocol already has a proposed solution on the table. BIT-0011. Locked Stake and Conviction Let me break down what this actually means because it is one of the most important proposals in Bittensor's history, and we need to pay attention to it. Right now, a subnet owner registers once, pays the registration cost, and holds that subnet indefinitely. There is nothing on-chain requiring them to prove ongoing commitment. They can sit on the subnet doing nothing. Or worse, they can build trust, attract stakers, collect emissions, and then dump everything overnight with zero warning. That is exactly what happened with Covenant. Locked Stake fixes this at the protocol level. With math. Here is how it works. You lock your Alpha on a subnet for a chosen duration. That lock creates a conviction score. Conviction starts at 100% of the locked amount and decays linearly to zero as the lock approaches expiry. The longer you lock and the more you lock, the higher your conviction. Every 30 days, the protocol checks all conviction scores on every subnet. The staker with the highest conviction, EMA smoothed over time to prevent anyone from briefly locking a massive amount to snipe ownership becomes the subnet owner. Read that again 👀 Subnet ownership becomes a continuous contest of commitment. It's not a one-time purchase. It's an ongoing proof that you have skin in the game. What this means in practice. If a subnet owner wants to exit, their conviction starts decaying the moment they stop re-locking. Investors can see it happening in advance. The market can reprice the Alpha before the owner dumps. And any motivated team with higher conviction can challenge that ownership and take over the subnet. Learn Bittensor pointed out that Chutes currently holds roughly 37,000 $TAO worth of SN64 Alpha in a smart contract for owner emissions. If the Chutes team locked all of it for a long duration, any malicious actor trying to take over would need to exceed that amount and lock it for longer. The cost of attacking becomes massive. And if the existing community does not support the challenger, they can unstake and crash the Alpha value, making the takeover economically pointless. The conviction decay mechanic: The score starts at the full locked amount, then decays linearly toward zero as time passes. So if someone locks: 1,000 ALPHA for 100 days ▫️Day 1 = 1,000 conviction ▫️Day 50 = 500 conviction ▫️Day 100 = 0 conviction The important part: They cannot freely withdraw the locked portion while conviction exists. Only the unlocked portion is available to unstake. At expiry conviction hits zero, and everything unlocks. This means owners can not silently prepare a rug. If the subnet owner wants to keep ownership strength, they need to re-lock before conviction decays too far. Const said it himself: "Exploits are what teach a system its weak spots. The quicker you find them, the faster you learn." No other network in crypto has proposed anything like this 🔥 The standard response has always been that's just crypto or hire better lawyers. Bittensor's response is to build a cryptographic mechanism Locked ALPHA turns into a time-weighted commitment score. The more size + the more time remaining, the more ownership power you have. This is still a draft proposal. BIT-0011. Being discussed openly. The design may change. The network identified its weakness in real time, the founder proposed the fix within hours, and the community is now iterating on the solution in public That is what an adaptive stress-driven growth system looks like. Now, founder alignment market's can literally measure block by block $TAO Thanks to @learnbittensor Link: learnbittensor.org/concepts/token…
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Andy ττ tweet mediaAndy ττ tweet media
Learn Bittensor@learnbittensor

🔒Locked Stake & Conviction are Being Proposed for Bittensor Subnet ownership may be about to change. BIT-0011 proposes that anyone can challenge for ownership of a subnet by locking their ALPHA stake and building "conviction." Right now, inactive subnet owners can hold onto subnets indefinitely. 'Locked Stake' would make ownership a contest of commitment, giving motivated participants a path to take over neglected subnets. How it works: - Lock ALPHA on a subnet for a chosen duration to build conviction - Conviction starts at the full locked amount and decays linearly to 0 at expiry - Every 30 days, the staker with the highest conviction EMA becomes the subnet owner - The EMA smoothing prevents anyone from briefly locking a large amount to "snipe" ownership Learn More: learnbittensor.org/concepts/locke… NOTE: This is a draft proposal (BIT-0011) currently being discussed. The implementation and design may change or be replaced completely.

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𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢
If Sam wants to leave the #Bittensor network then he should relinquish control and sell his slots to others who do want to build here Keeping SN3, 39 and 81 hostage for no reason just adds fuel to the fire that this was done for nefarious reasons The only thing I can think of is he is hoping to leach more capital from future subnet owner emissions After all the pain he caused others.. he can at least do the right thing here $TAO
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