DJFM (τ, τ)

@ScottiePippen @game5ball $TAO and $BTC is all you need

Bitcoin is my #1 but I'm building my watch list. What coins are you watching? I got my picks... $ETH $SOL $BNB $XRP $BALL aka @Game5Ball $ADA $DOGE $SHIB $LINK $CRO What else you got? Drop your crypto picks.

We had @markjeffrey blowing the horn for us tonight, chaps What an honour 🤝

The teams at @AskVenice & @dphnAI just developed the most uncensored version of Mistral 24B using confidential compute on Targon. We look forward to continue collaborating with teams building the future of decentralized AI. ☁️

We've started working with some Bittensor subnets. New Venice Uncensored 1.2 model was tuned on Targon/subnet4

Venice Uncensored 1.2 is now live. Developed with @dphnAI, this model delivers the most uncensored version of Mistral 24B. Upgraded with vision support, a 4x larger context window, and stronger tool-use capabilities. Trained on Bittensor Subnet 4 @TargonCompute.

When Claude Opus solves a math problem and "thinks" for 30 seconds before answering, what are you paying for? Reasoning tokens, billed at full output rates. Opus 4.6 charges $25 per million output tokens. A serious reasoning task can burn 5,000 to 10,000 reasoning tokens before producing an answer. That works out to $0.13 to $0.25 per query. GLM 5.1 TEE on Chutes runs $0.95 input, $3.15 output. The same query at the same depth of reasoning costs $0.016 to $0.032. About 8x cheaper per reasoning query, with hardware-enforced privacy included. GLM 5.1 scores 51 on the Artificial Analysis Intelligence Index, two points behind Claude Opus 4.6 and leading among open-weights reasoning models. 200K context, full chain-of-thought, JSON mode, structured outputs. It also holds the state-of-the-art on SWE-Bench Pro at 58.4, ahead of Opus 4.6, GPT-5.4, and Gemini 3.1 Pro. If you're building anything that needs the model to think before answering (math tutoring, scientific analysis, deep code review, multi-step research agents), this is the one to benchmark against your current default. What kind of reasoning workload are you running? Curious if Opus is overkill for it. 🔗 chutes.ai/app/chute/b048…

🚨 PwC just partnered with a $TAO subnet SN44 @webuildscore $56.9 billion in revenue. 364,000 employees. 136 countries. 175,004 clients. 82% of the Fortune Global 500. $1.5 billion invested in scaling AI this year alone. $3.1 billion in total network investment. Key alliances with Microsoft, Google, AWS, OpenAI, and Anthropic. PwC The largest professional services firm on earth. Read that again. They just formed an alliance with Manako @manakoai, powered by Score Subnet 44 @webuildscore to bring physical AI to enterprise at global scale. PwC France and Maghreb will integrate Manako's Business Operations World Model into its AI and digital advisory practice. That model runs on decentralized AI infrastructure. On Bittensor. This is not a proof of concept. This is deployment infrastructure for the world's largest organizations. One billion cameras exist globally. Twenty-one billion connected sensors. Most of that footage is never seen. None of it drives action. Manako changes that. Connect existing camera feeds, describe what you need in plain language, and the system monitors, understands, and acts. Real-time. Across retail, logistics, manufacturing, energy, and infrastructure. PwC's own 29th Global CEO Survey found that 3 in 5 CEOs believe their company won't be viable beyond a decade without major reinvention. AI adoption is expected to raise global GDP by 15%. 👀 $7.1 trillion in redistributed revenues is up for grabs this year alone. When PwC needed physical AI infrastructure, they could stand behind at enterprise scale, they chose a Bittensor subnet. Not OpenAI. Not Google. A decentralized network. This is what institutional adoption looks like. Not announcements about "exploring blockchain." A $57 billion firm embedding subnet technology into how it serves Fortune 500 clients. @manakoai @webuildscore @PwC_France $TAO

@Orkhan Please take care of yourself. Glad she was there to care for you.

Frens, I had a ischemic stroke three days ago. Grateful my sister acted fast and called an ambulance in time. I went through surgery to remove a clot and I’m doing okay now. I’ll be in the hospital for a bit and probably not around much for a while. Honestly, it’s been a lot and also incredibly boring in here. If you’ve got anything interesting to watch, send it my way. Could use some good distractions right now.

Monet and The Simpsons 🙂‍↕️✨🤝

Tomorrow at 1pm EST! Turn your reminders on 👀! twitter.com/i/spaces/1qxvv…

1/3 The Verse Talent Redistribution Scheme A farming initiative, sponsored by @Tabcorp_HR. This week we will be redistributing: 3️⃣ Birthday-Grade Comedy Core 'Clowns' 6️⃣ Ordinary Resources Retweet to be considered for the resource attached. More ways to qualify below ↓

One team can't build the best AI. So we stopped trying. We built an open arena instead. Here's what happened👇

The ticker is $TAO... TAOZILLIONS 💫

Hello, Moon. It’s great to be back. Here’s a taste of what the Artemis II astronauts photographed during their flight around the Moon. Check out more photos from the mission: nasa.gov/artemis-ii-mul…

Our mission has always been clear: make swapping on Bittensor simple, safe, and enjoyable for everyone! $TAO 🥔 Today we crossed 45,000τ ($13.5m) in volume. People want simplicity and that's exactly what we're building. This is only the beginning. More coming soon. 🥔

Stanley Kubrick made this film in 1968

Retweet if the @NFL and @nflcommish made a mistake not giving the Bears compensatory picks for losing Ian Cunningham.

Private Track is now live on SN44!!! Starting with the most complex task in our subnet's history Starter Pack in comments