Gata has launched their GATA token alongside its tokenomics.

Kite has raised $18M in Series A funding led by PayPal Ventures and General Catalyst to build a blockchain that enables AI agents to communicate and transact. Read our deep dive on Kite here.

HyperbotAI’s $BOT token sold out in just 7 seconds during its Bonding Curve TGE on Binance Wallet.

Coinbase now writes about 40% of its daily code with AI, and Brian Armstrong wants that above 50% by October. At this rate, “Coinbase engineer” might soon mean “the guy who argues with Copilot.”

The surge comes from tools like Cursor, Copilot, and Claude Code spreading across its 1,500+ engineers. Frontend and greenfield projects are shipping faster, but AI code also brings more bugs. Coinbase’s answer: a repository sensitivity matrix. Basically a fancy filter for “please don’t let the AI break the exchange.”

Not every team can ride the wave. Low-level infra and trading systems still lean on human engineers. But the bet is clear: AI-native workflows will dominate, and Coinbase could become one of the first major companies where AI-written lines of code outnumber human ones.

Lium is now generating $676 per hour in credit spend, up from $429 two weeks ago. That’s 9.4% weekly growth, on pace for $30 million in annualized revenue by year-end.

The platform lets users rent GPUs through a decentralized network built on Bittensor. You log into lium.io, choose machines based on price and performance, pay in $TAO, and track usage through a dashboard.

On the other side, miners contribute GPU hardware to earn emissions. Each setup includes a lightweight CPU-based server (the miner) that manages multiple GPU executors. These executors handle the compute tasks.

Rewards depend on performance rather than just GPU specs. Validators test and score executors, and the weight of each score matches the validator’s stake. If a validator controls 40% of the stake, their score accounts for 40% of the payout. This makes the choice of which validators to serve an important factor.

Every executor needs TAO collateral to be eligible for rewards, enough to cover 24 hours of rental. If a miner goes offline or fails to deliver, the collateral can be slashed. It keeps the system trustless and honest.

The final layer of enforcement comes from the subnet owner (called the Trustee), who handles slashing decisions and reviews collateral reclaim requests.

In short: Lium turns GPUs into on-chain, rentable assets.

Most video gen AI today is locked inside closed, centralized systems.

Everlyn is building an open alternative.

The team has raised $15M to date, with new backing from Mysten Labs (creators of Sui) at a whopping $250M valuation. Other investors include Baseline, Selini Capital, Aethir, Nesa, and IONET.

At the core of the stack is Everlyn-1, an open-source autoregressive model that generates long, photorealistic video. It’s built for real-time output, low latency, and fine-grained control.

Surrounding that is Everworld, a platform for deploying AI video agents, human-like avatars that can perform tasks, interact with others, and represent users across digital spaces.

These agents are user-owned, upgradeable with developer-built APIs (AAPIs), and capable of on-chain actions using the $LYN token. Users can stake, subscribe, and help govern the system via Lyn DAO.

The system is designed for scale and openness, running on decentralized infrastructure with on-device models and encrypted memory.

The team includes researchers and engineers from Stanford, Oxford, DeepMind, Meta, and Google, with experience building models like VideoPoet, Make-a-Video, and Open-Sora.

The long-term aim is to move video AI from a closed product into an open protocol where users own the agents that represent them.

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CK and I did a podcast with Anand Iyer (Canonical, Lightspeed Ventures) last week! Been waiting for this for a while. He drops. We went deep on the truth about market trends. Is AI the biggest bubble of our lifetime? Also: founder dynamics in early stage deals

And yes, we made him tell us what he really thinks about crypto x AI..

Most AI agents feel clever in the moment but wake up with amnesia the next day. Rei Network wants to fix that with an AI “brain” built to remember, learn, and get smarter the longer you use it.

The protocol is building in public and funded by its own community. It has already shipped a memory system, a reasoning engine, and an agent factory.

This week’s deep dive unpacks how Rei works and why it might be the most important web3 AI experiment hiding in plain sight. 👇

Google taps out at eight seconds; VEED lets your avatar monologue for three whole minutes. Finally, a video model that can overshare like a podcaster on Adderall.

It did this in ~45 days with just under $1M in miner rewards. Essentially what a Series-C founder calls “coffee money.” 

$5.2T will go into infrastructure, with 60% to chipmakers, 25% to energy, and 15% to builders, making resource control a key competitive edge.

After switching on revenue two months ago, volume has fully recovered. When it reaches a 1T tokens daily, Chutes will finally finish reading the internet, including the comments.

Orchard raised a $22M Series A to build the AI farmer securing America’s food supply. FruitScope OS is basically FarmVille, except the corn actually sues you if you overwater it.