Samuel Jefferies

@GalaxyMind @trythelatest @traderb89 @Jason @haralabob @twistartups @vidaio_ Install openclaw and select Chutes as your model and save up to 10x on costs. It’s a default option.

@MrSamLJ @trythelatest @traderb89 @Jason @haralabob @twistartups @vidaio_ No. What would be a use case for me as a self admitted “non dev”

The biggest scammers and charlatans you know are pushing $TAO another clarifying moment for friends of the pod.

@GalaxyMind @trythelatest @traderb89 @Jason @haralabob @twistartups @vidaio_ Have you not used Chutes?

I own some and I have for a while. I hope it does well. I’m just very apprehensive of the sudden hype. Especially when it’s led by people who are purely speculative on the token for financial gain. It appears as a great idea but a solution that’s searching for a problem. From my research (I’m not an AI dev) the models seem 3 years behind the frontier models. I do however work with AI devs and none of them seem that interested in TAO due to latency and poor performance compared to other models. Also the token is largely held by a few people right now so I worry they could dump it. Lastly, one of the big critiques of Bitcoin through the years has been that the proof of work used to mine the coin is that it’s useless. TAO “solves” this. However, the uselessness / randomness of the PoW in the bitcoin network prevents manipulation because novodu knows the answer. It’s a guess. TAO has been manipulated before and I understand there are now guardrails in place but these still require human judgement and are therefore is vulnerable to manipulation. I’m very open to being wrong so please educate me. If you’re a legitimate user who ALSO owns the token, I respect it. However this space is full of people who pretend to know what they are talking about with surface level knowledge and a cult like mentality.

@peasant_trader @DeanFoley2 @financial_shaw @Nicoledso The two biggest “reasons” for house prices going up aren’t really reasons at all. The house price to salary ratio has also barely moved - however in the south it has which when combined with borrowing costs at 400% more made housing more expensive. Salary growth & deposit levels

@MrSamLJ @DeanFoley2 @financial_shaw @Nicoledso The ratio might be stable but it doesn’t show you what’s going on beneath the surface. Which for a marketer to disregard is quite disappointing. You’re either a bad data reader or ideologically captured.

ITS NOT A LACK OF F*******G SUPPLY

@oIiveredwards @thedarkonexx @financial_shaw @Nicoledso We’ve got roughly the same amount of dwellings as people it’s the ratio that matters it takes both into account.

@MrSamLJ @thedarkonexx @financial_shaw @Nicoledso In real terms, we've got roughly 11 million more adults in the UK so your ratio should actually be a shift from 1.73 to 1.86, which is significant

@Jfry_Rlaxx @Nicoledso @financial_shaw Empty houses = 1.25% of stock in 2006 vs 1.15% in 2026. It's actually gone down.

@Nicoledso @financial_shaw @MrSamLJ It's not physical supply. There is housing empty in London. It's supply that can't be accessed due to many reasons . Or supply in wrong place

@oIiveredwards @thedarkonexx @financial_shaw @Nicoledso Avg household size = 2.35-2.4 in 2006 vs 2.36-2.39 in 2026 and age = 39 in 2006 vs 40-41 in 2026. Yes it's changed but it's hardly worth getting excited about (yet).

@MrSamLJ @thedarkonexx @financial_shaw @Nicoledso That's great and all but you're ignoring that assumes the demographics (I.e. household size, age) have remained the same - which they haven't

@oIiveredwards @thedarkonexx @financial_shaw @Nicoledso 2006 = 60.6m ppl, dwellings = 26m (ratio = 2.33). 2026 = 70.0m ppl, dwellings = 30.1 Million, ratio = 2.32. It's neither down to building or migration.

@thedarkonexx @financial_shaw @Nicoledso @MrSamLJ We've not been building houses since Thatcher ffs

@Nicoledso @DeanFoley2 @financial_shaw Correct but that's nothing to do with supply or demand. It's to do with inflation, income growth and borrowing costs. It just doesn't make a sexy headline or parlay into right/left wing solicitations.

@MrSamLJ @DeanFoley2 @financial_shaw This is just nonsense. More single people, more people forced to live with parents for much longer. My single parent mum bought her first house in early 20s and moved out. Now average is 35.

@DeanFoley2 @financial_shaw @Nicoledso You might not like it but that doesn't stop the math from mathing. 2006 = 60.6m ppl, dwellings = 26m (ratio = 2.33). 2026 = 70.0m ppl, dwellings = 30.1 Million, ratio = 2.32. It's neither down to building or migration.

@MrSamLJ @financial_shaw @Nicoledso This doesn't hold up. The supply argument is that it is a lack of supply in places people actually want to live - usually places with economic and education opportunities. UK has oldest housing stock in Europe and has been at very bottom of construction rates.

@financial_shaw @Nicoledso Fun fact: The UK has the same amount of houses to people as it did 20 years ago. It's neither population growth or supply.

@Nicoledso Mainly a wrecked tax system and migration.

@MarketingMax Only way I can see this happening is if the bots are running incredibly simple workflows e.g. cold email etc

Spoke with a freelance marketer who charges by the hour. Told me he made $450,000 last month. How is that even possible with an hourly model? He said that he’s running 300 Clawdbots to do all his work, and charges clients for every hour that they’re running This is the best way to get rich as a marketer right now! He's launching a course on how you can do the same Comment "Hourly" if you want me to send you the course when it drops

@const_reborn I'd love to see a guide on how to replace your centralised AI stack with Bittensor written for normies. Does this exist already?

I have 6 agents running now, two are doing ML research, one is cloning Claude code, two trade hyperliquid and one mines Bittensor. All they need is compute from Bittensor (Lium, Basilica and Targon) and inference from Chutes and Openrouter. The trading agents pay for the compute and inference by buying credits with proceeds. I could literally die and this system wouldn’t turn off. Indeed it’s programmed to just get better.

@Jacobsklug @openclaw Playbook

I've made $4.7M with AI. Today, I recorded myself building an entire @openclaw business in an hour. You'll learn how to: • Find a winning niche using AI • Build an offer people actually want to pay for • To get your first clients • To use AI to productize and fulfill the entire service • The exact prompts I use to orchestrate all of it After building the #1 Lovable agency. This is the entire playbook behind AI native businesses. The full video is live on YouTube. Comment "Playbook" and I'll DM you the link.

@jontechilovsky @alexanderrX_ The developer who paid for Canary Wharf also went bankrupt.

Canary Wharf also has no care homes to manage, no children in care to look after, no schools to run, no social services to manage, no special needs children to take to school, no homeless people to care for, no areas of social deprivation, no council estates to manage, etc. They have the luxury of looking after businesses and residents who are on the whole middle class, well educated and have well paid jobs.

canary wharf is privately owned. clean streets, private security, things get fixed when they break. people complained about walking around the water so a bridge went up in months. try that anywhere else in the uk and you’re looking at years of planning. now they’re opening a 50m floating lido this summer. this is what execution looks like without government.

@DrocksAlex2 @MilkRoad @TAOFlows @chutes_ai Was impressed to see Chutes offered as default when choosing a model on OpenClaw.

@MilkRoad @TAOFlows Subnet 64 @chutes_ai is the most private, verifiable, open-source AI inference provider in the world (to my knowledge) More than Venice and valued lower (so it's undervalued right now) 🫡

Some folks are comparing $TAO to Bitcoin 2013 and Ethereum 2016. Before you agree or disagree with that comparison, it's worth understanding what Bittensor actually is. Most AI tokens are just tokens attached to AI products. Bittensor is something structurally different. The basic idea: instead of centralizing AI intelligence at Google or OpenAI, Bittensor tries to decentralize it through a competitive marketplace. Here's how it works: The network is organized into 128 active subnets, each specializing in a specific task. Text generation. Image analysis. Protein folding. Financial modeling. Deepfake detection. Anyone can build a model and plug it into a subnet. Each subnet runs a competition. Models are ranked by objective performance: the quality and usefulness of their output. The best performers earn $TAO tokens. The ones that underperform get nothing. Bittensor calls this "Proof of Intelligence." It's the same basic idea as Proof of Work, except instead of computing arbitrary hashes, nodes are producing actual intelligence that other parts of the network can use. The scarcity model mirrors Bitcoin. In December 2025, Bittensor hit its first halving, cutting daily emissions from 7,200 to 3,600 $TAO. 75% of holders stake their tokens, locking supply further. Is TAO the BTC of AI? That's a bet on whether decentralized AI infrastructure becomes as foundational as decentralized finance. Maybe it does. Maybe the incumbents win instead. But understanding what Bittensor is actually building is the starting point for forming that view.

@CyclesFan Typically XLE lags Oil spikes by at least 6 trading days as the market is assuming it's a short term spike. We need more time before drawing conclusions.

$XLE monthly - This is the longest bull market for the energy sector, now in its 72nd month. In the 2002-2008 bull market the RSI topped in Sep 2005 and diverged at the May 2008 top. We have a similar divergence now. The RSI topped in May 2022 and is making a lower high now. Also, crude oil was up 35% this week while XLE was up only 1.16% which is a big red flag.

@TheMattBerman @openclaw @rapidapi 1000

I replaced a $200K GTM hire with @openclaw 😱 here's the system that runs my outbound: step 1: mine LinkedIn engagement → @rapidapi scrapes everyone engaging with niche content → someone who commented on specific posts = 10x warmer step 2: enrich + verify → Hunter/Apollo finds the decision-maker + email → @Perplexity deep research pulls signals like hiring, fundraising, media appearances, quotes step 3: score against your ICP → title, company, signals = ranked 0-100 → only A-tier leads get touched step 4: write personalized outreach → Claude writes outreach referencing what they ACTUALLY engaged with and talk about step 5: send via @instantly_ai → 3-email sequence. automated follow-ups. step 6: pre-call deep research → @PerplexityComet builds a 1-page briefing 30 min before every call input: your ICP + niche keywords output: booked meetings with people who already care $200K/year GTM engineer → $130/month in APIs. I packaged the entire system as the First 1000 Kit: - all 8 @openclaw skills - every prompt - tool-by-tool setup - email sequences that convert giving it away free. comment 1000 + like + follow (must follow so i can DM)

@2147mill This was broken last cycle - every model is useful until broken.

Fyi Bitcoin is just so close from breaking a 15-year market rule. Every past ATH (Highest Monthly Close) acted as bottom for next cycle. If Bitcoin drops below $61k (Highest Monthly close of prev cycle), it would be the first cycle ever to break that rule.

@SiamKidd I live in Oxford, it's literally a congestion charge (that you don't pay if you're a resident) and the right wing is rilling it up - why would you protest against having a GP, restaurant etc within 15min walk?

Warned about 15 min cities 4 years ago when it sounded like a total batshit crazy conspiracy. This is just the beginning... Parameters will only constrict over time...

@DreadBong0 They need to open the subnet cap ASAP to really let this kick in.

#Bittensor will grow faster than #Bitcoin Study Reed's Law.. $TAO