Counterview Capital @CounterviewVC

Today! 🔥

gensyn @gensynai

2 months ago

$AI powers Gensyn April 29

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Most people experience AI through apps. Those apps run on infrastructure owned by a handful of companies. @benfielding and @harrygrieve of @gensynai on why that needs to change, and what it's going to take to rebuild AI as crypto-native open infrastructure. 00:00 – Intro 00:29 – Misconceptions about AI infrastructure 01:20 – Why centralization in AI is a deeper problem than people realize 04:19 – Why AI needs crypto 05:51 – How AI models are trained 08:15 – The rise of autonomous AI agents with onchain identities 10:37 – Lightning round

Gensyn Mainnet is officially live with the launch of @Delphi_fyi. It's the first network built natively for AI, with core primitives for machine learning, communication, and payments. Try it today, build on it. More on $AI soon.

gensyn @gensynai

2 months ago

The Gensyn Mainnet is live with its first application. Delphi launches today.

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the @gensynai Mainnet is now live with Delphi as the first commercial application decentralised AI will scale further than centralised AI ever could and Gensyn will be the infrastructure rails that make it happen markets x machine learning = world model

gensyn @gensynai

2 months ago

The Gensyn Mainnet is live with its first application. Delphi launches today.

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reproducible execution doesn't need TEEs introducing REE - Reproducible Execution Environment as AI models become more autonomous, it becomes increasingly important that we can verify and audit their execution REE allows this to be done on any device, not just TEEs

gensyn @gensynai

3 months ago

When you run the same AI model with the same inputs twice, you'd expect the same output. But modern GPU execution is optimised for speed, not fixed ordering, and existing determinism tools do not solve this across hardware. Today we're changing that. blog.gensyn.ai/ree/

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A few months ago, I sat down with a police chief in Seattle. He told me about the Green River Killer, one of the most prolific serial killers in American history, active for over two decades before Gary Ridgway was finally caught. The case went cold for so long not because police lacked clues, but because different departments had pieces of the puzzle and no way to connect them. Critical intelligence sat siloed. Officers in the field had no visibility. Bulletins were written by hand, shared slowly, and often not at all. That conversation stuck with me. Because it's not a legacy problem. It's happening right now, today, in every city in America. The average law enforcement officer spends hours every week writing and reading reports that should take minutes. Software built in the 80s and 90s still runs most departments. And when a threat crosses jurisdictions, the information rarely does. Multitude Insights is fixing that. Their platform, BLTN, gives officers and departments a real-time intelligence layer, automating the bulletins, surfacing the right information to the right people, and making cross-department collaboration actually possible. What drew me in was two things. First, the single player experience is jaw dropping. An officer can draft a bulletin in seconds with AI, going from the static, lifeless PDFs that have defined law enforcement communications for decades to data-rich bulletins with video, images, and live intelligence. Second, this has some of the strongest network effects I've seen in any AI-native company. Every department that joins makes the platform more valuable for every other department around them. Intelligence compounds. The network becomes the moat. Congratulations to Matthew White, Akihiko Izu, and the entire Multitude Insights team on their $10M raise. These are military, legal and law enforcement veterans who understand the problem from the inside, and they're building tools officers will actually use. Proud to back them. Can't wait to watch BLTN go nationwide.

AgileRL has built a platform to help companies speed up AI training. Here's the pitch deck it used to raise $7.5 million. bit.ly/4jAGFDa

$AI sale is live sale.gensyn.network

the @gensynai token is going live $AI - english auction on Sonar - 3% of the supply - starting at $1m FDV and capped at $1b - rewards for Testnet participants register now; bidding starts Dec 15

gensyn @gensynai

6 months ago

$AI The network for machine intelligence. 3% of the network, beginning at $1M FDV. Register now. Sale opens December 15. token.gensyn.network

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Everyone should have their 👀 on @gensynai, poised to form the backbone of an AI future that is open, transparent, and decentralized.

gensyn @gensynai

6 months ago

Introducing Delphi - the open market for machine intelligence Models compete. Users buy and sell. Prices react instantly It’s the first real-time market signal for model intelligence

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starting to hit escape velocity

gensyn @gensynai

7 months ago

1,500,000 models trained on the Gensyn Testnet dashboard.gensyn.ai

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🔒 In finance, trust is everything. With Shabodi NetAware Operator Platform, Financial institutions can detect fraud in real time using telecom operator network data through Network APIs like SIM Swap Detection & KYC Match—without adding friction for users. 👉 Learn more: shabodi.com/solution-brief… Schedule a meeting with us during @MWCHub Doha 2025📍: go.shabodi.com/meet-me-at-mwc… #MWC25 #MWCDoha #Secure #Fintech #FraudPrevention #Transaction #DigitalTrust

Just getting started...

gensyn @gensynai

7 months ago

One million models trained on the Gensyn testnet. To everyone running nodes, experimenting, and building with us - thank you. This milestone is yours.

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Announcing CodeAssist CodeAssist allows you to continually train a local, sovereign AI coding assistant on your own device, just by coding yourself using the @gensynai stack, any app can passively train from direct user interactions - the highest quality data for AI

gensyn @gensynai

8 months ago

Introducing CodeAssist, your personal coding assistant that learns as you work. Every edit becomes training data. Every session makes it better. The more you code, the more it understands you.

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👀🔥

Ben Fielding @benfielding

9 months ago

the @gensynai Testnet just hit a milestone: > 50M transactions in 5 months more: > 134K users > 445K transactions per day > 29K RL Swarm nodes connected > 76K models trained in RL Swarm > 210K models trained in BlockAssist > 21K participants in Judge > 243K bets placed in Judge

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“AI is ready. Are your networks?” By combining Model Context Protocol (MCP) with Shabodi NetAware, AI Applications and AI Agents can tap into real-time network intelligence and trigger network changes — Intent-to-API Translation That means: ✅ Faster AI-driven workflows ✅ Democratize Access to Network APIs ✅ Faster developer onboarding and Ecosystem growth AI Agent + LLM + MCP + NetAware --> makes network programmability accessible at the speed of thought. #AI #GenAI #LLM #5G #APIs #Automation #MCP #Technology #Future

Take a look at the latest feature in PoliceOne for BLTN. The hits keep coming!

Police1 @PoliceOne

10 months ago

Too many bulletins, not enough time? BLTN cuts through the noise and connects the dots across agencies and incidents. @GetBLTN police1.com/investigations…

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We broke 45M transactions and 130,000 users on the network! 🐝 Key highlights per product: - BlockAssist: 122,500 sessions - RL Swarm: 26,000 nodes connected - Judge: 17,00 participants

Everyone’s chasing the next shiny model drop ( 5o!), but @gensynai just shipped something far more important for the future of AI. BlockAssist might look like just a Minecraft assistant, but it’s actually a leap toward a new paradigm: decentralized active learning. Active learning is a non-negotiable part of any serious AI ecosystem. BlockAssist proves it can be practical, decentralized, and human-centered. Kudos to @benfielding and the @gensynai team.

Ben Fielding @benfielding

11 months ago

introducing BlockAssist - the first demonstration of decentralised assistance learning in Minecraft soon, every app will passively train individual local models directly to user preferences and globally improve between users over a decentralised infrastructure owned by everyone

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🔒 Still relying on SMS for fraud prevention? It’s time for an upgrade. See how banks are using Network APIs like SIM Swap, Device Swap & Location to stop fraud before it happens. Check out the case study 👇 shabodi.com/case-studies/p… #FinTech #FraudPrevention #APIs #CyberSecurity #5G