Alex DRocks

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Alex DRocks

Alex DRocks

@DrocksAlex2

Crypto & Stocks | Web Dev | #biτcoin | AI

Quebec, Canada Katılım Haziran 2015
1.8K Takip Edilen5.4K Takipçiler
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Alex DRocks
Alex DRocks@DrocksAlex2·
Releasing TaoFlows.app 🚀 The fastest Bittensor $TAO transactions dashboard. + Real-time block data. + Unique flow views. + Up to 4 live price charts. Understand the flow of $TAO liquidity accross all 128 subnets and monitor the trades like nowhere else. Hope this sets the bar higher for the trading platforms building on Bittensor 🥩
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ꟼƂ↑Ƚ
ꟼƂ↑Ƚ@qb1t_·
@DrocksAlex2 chill in root mate. yeaterday was ridges. tomorrow can be chutes etc...
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Alex DRocks
Alex DRocks@DrocksAlex2·
Should I start to PND low marketcap $TAO subnets like most people do?
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Bitcast | SN93
Bitcast | SN93@Bitcast_network·
Bitcast isn't just operating on Bittensor. It's actively bringing new audiences into the Bittensor ecosystem. Every campaign runs through creators with real subscriber bases - now exceeding 5 million+ in total across Bitcast and @Stitch3_ai. As those campaigns perform, they bring new capital and attention into the network. This is the subnet model working as designed: one that succeeds by expanding the entire network. TAO-pilling the masses, one campaign at a time.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
Bloomberg: OpenAI launches a $ 10Bn joint venture called “The Deployment Company” to help businesses use its AI. The new company, The Deployment Company, has raised more than $ 4B from 19 investors, including TPG, Brookfield, Advent, Bain, SoftBank, and Dragoneer. The basic bet is that AI adoption is no longer mainly a model-quality problem, because many companies already want AI but lack the teams, workflows, data access, security rules, and operating discipline to install it safely inside real business processes. Private equity firms are useful here because they control or advise large webs of companies, and the report says OpenAI’s partners can reach more than 2,000 portfolio companies and clients. That turns enterprise AI selling from one-company-at-a-time pitching into a routed distribution system, where OpenAI can package software, consulting, deployment playbooks, and sector-specific use cases across finance, healthcare, coding, operations, and support. The deeper technical point is that LLMs do not create value just by answering prompts, because they need to be connected to company data, permissions, tools, evaluation systems, and human review loops before they can affect revenue or cost. Anthropic also is building a similar PE-backed route for Claude, which suggests the next AI race may be less about demos and more about who can industrialize deployment fastest. --- bloomberg. com/news/articles/2026-05-04/openai-finalizes-10-billion-joint-venture-with-pe-firms-to-deploy-ai
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Rohan Paul@rohanpaul_ai

WSJ: Anthropic is wrapping up a deal to set up a joint venture with Blackstone, Goldman Sachs, and other Wall Street firms, with the goal of selling AI tools to private-equity backed companies, according to people familiar with the matter. Anthropic, Blackstone, and Hellman & Friedman are expected to put in about $ 300M each, while Goldman Sachs is expected to invest about $ 150M. The new company would work like an AI deployment arm, meaning it would not just sell Claude access, but help companies rebuild workflows around LLMs, from customer support and finance to coding, legal review, and internal research. Private-equity firms are the target because they own many companies, measure every cost tightly, and can force software changes faster than slow public companies. Anthropic gets distribution, Wall Street gets a stake in the AI services layer, and portfolio companies become a large testing ground for enterprise AI. The deeper move is that AI labs are no longer only competing on model quality, but on who controls the path from model to business process. --- wsj .com/business/deals/anthropic-nears-1-5-billion-joint-venture-with-wall-street-firms-8f5448ee

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This Week in Startups
This Week in Startups@twistartups·
HUGE SHOW TODAY ON TWIST! We've all been hearing about @usvc_ , the fund from AngelList, bringing VC returns to retail investors! Joining us is @ankurnagpal, a GP at the fund to take your questions! Also, @jon_durbin from @chutes_ai is joining us! Chutes is subnet 64, the largest subnet by marketcap! Then, we've got @theyashgoenka, CEO of Humwork, the YC company redefining the relationship between humans and agents!
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@jason
@jason@Jason·
Also, at 1 pm ET/Knicks time (10 am Left Coast, 12 pm Texas Time), we're gonna have @jon_durbin from @chutes_ai on @twistartups—you can watch live here on my handle (or on YouTube). Chutes is #bittensor subnet 64 -- the largest subnet by marketcap... they have 1,049 GPUs available Their pricing is designed to be a race to the bottom—in the best way: competition! I've invested $750k in $tao and subnets because I believe the system will hit a couple of home runs through the entrepreneurial energy in the subnets (I'm also investing in subnets via @stillcorecap).
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@jason@Jason

really excited for @twistartups today.... You guys have asked about USVC.com from AngelList, the closed-end fund that lets you invest in late-stage private companies for as little as $500. Today we have @ankurnagpal, who is a GP there, to take your questions! 10am PT, 12pm Texas Time, 1pm ET/Knicks time!

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Chutes
Chutes@chutes_ai·
Big one for us. @AIxC_Official (Nasdaq: AIXC) is collaborating with Chutes. A Nasdaq-listed AI agent platform, choosing decentralized compute as their backbone. Read the release: prnewswire.com/news-releases/…
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simioape
simioape@simioape·
@DrocksAlex2 nah, you should voice your thoughts about the current ecosystem
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corbin
corbin@corbin_braun·
GPT-5.5 is amazing. but please don't use it for the frontend.
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Arkham
Arkham@arkham·
If you bought Coal on Runescape 1 year ago you outperformed Ethereum
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Mariuszek
Mariuszek@sobczak_mariusz·
Update on $TAO SN102 @ConnitoAI thanks to @CryptoZPunisher I was able to confirm the subnet is run by one of the most respected builders in Bittensor. This person has been with Bittensor since the beginning and was responsible for shaping core ML research and tokenomics design from day one. On a personal level, $TAO subnets are starting to be run by some of the smartest, most experienced, and most talented people in the space an absolute wealth of experience flowing into the network. More to come on Wednesday
Mariuszek@sobczak_mariusz

Subnet 102 (@ConnitoAI) is a $TAO subnet attempting decentralized training of 100B+ parameter models using a Mixture-of-Experts approach. Instead of one massive cluster training a giant model, miners train specialized expert modules that get aggregated into a larger system the architecture itself shards the work in a way that fits a peer-to-peer network. Whitepaper drops on May 12, dashboard May 26. If it works, it’s the second pillar of decentralized frontier training alongside Templar’s pre-training approach. Important category, this is an asymmetric entry, but the subnet is brand new. I would take a look at it, potential is awesome, but we need more info to be 💯 sure. I have some ideas who the owner is but these are my speculations so I will not reveal until I know for sure.

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Killa
Killa@KillaXBT·
$BTC My additional entries have been filled at 79500, completing my final DCAs. In the process, my average from 76K is currently 77.6K. I won’t be adding further, and my SSL remains unchanged. It either closes above 84K and invalidates my position, or it reaches my TP. There will be no adjustments.
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Killa@KillaXBT

$BTC │ Swing short update. I’m still positioned the same. As mentioned in my previous update, I closed the add at BE to improve my average from 74.6K to 76K. That proved to be a solid decision, as price reacted immediately after tapping my average entry. With it now being the start of May, I’ve already outlined the likelihood of a sweep above the PMO (previous monthly high). This remains the zone where I plan to scale further into the position to continue improving my overall swing entry. Some may ask why I don’t simply wait for clear structure or an ideal point of interest before entering. The reasoning is straightforward, I prefer to build into positions early to avoid being front-run. As a HTF trader, I take a limited number of swing trades, and waiting for perfect entries can often take weeks or even months. I’d rather secure exposure slightly early on a high-conviction idea than risk missing the move entirely. Since my average has improved following the 78K add (as previously noted), I’m now adjusting my soft stop-loss (SSL) from 83K to 84K. I’ll manually close the position if I believe the short thesis has been fully invalidated. This approach is consistent across my HTF positions, scaling in strategically to improve entry while progressively adjusting invalidation levels as the trade develops. So far, all 6 out of 6 swing shorts have played out successfully and delivered great returns. While it’s inevitable that I’ll eventually be wrong, maintaining conviction and discipline is essential. I’m continuing to follow the same system that has allowed me to capture each meaningful swing short to date. Emotionless. 🤟

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