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Recently been focused on single layer autorouting. Despite what Big Routing wants you to think, single layer routing is harder than multi-layer routing. The solution space is smaller and the topology is critical

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Seve

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45,783 görüntüleme • 6 ay önce •via X (Twitter)

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Hello, HyperEVM! 👋 Your routing layer just arrived. Fibrous is live on HyperEVM by Hyperliquid with aggregated liquidity and optimal routing. Hyperliquid.
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Hello, HyperEVM! 👋 Your routing layer just arrived. Fibrous is live on HyperEVM by Hyperliquid with aggregated liquidity and optimal routing. Hyperliquid.

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How do we enable single-layer PCBs to support the routing complexity of multi-layer PCBs? We're making a "Bridge-Programmable Interconnect" chip. This chip is "programmed" by traces etched on the top layer of the PCB, it allows any configurable pin to connect to any other configurable pin Why is this a big deal? Single-layer PCB etching can be done in minutes on a UV laser, but because they don't have vias it is impossible to change layers. Using an interconnect chip, you are guaranteed to be able to route any signal over any other signal. By placing these on your single-layer PCB, you can reconfigure wiring such that you don't need any vias!

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Most of our suits are double layer which means an inner layer squeezes your body when you wear it. But occasionally we also make single layer sealed and single layer fan-blown suits too. This suit is a single layer sealed design.
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Most of our suits are double layer which means an inner layer squeezes your body when you wear it. But occasionally we also make single layer sealed and single layer fan-blown suits too. This suit is a single layer sealed design.

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MultichainZ AI Agentic Studio is launching on Base. An agentic coordination layer designed to simplify DeFi through autonomous execution, intelligent routing, and real-time decision making. Users define objectives. Agents handle execution. Built on Base 🟦
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MultichainZ AI Agentic Studio is launching on Base. An agentic coordination layer designed to simplify DeFi through autonomous execution, intelligent routing, and real-time decision making. Users define objectives. Agents handle execution. Built on Base 🟦

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Fast Poker is not just permissionless poker. It is a live operator economy. Dealer License holders run the settlement layer that keeps games moving, rake routing, rewards updating, and protocol revenue flowing. Play to Mint. Burn to Earn. Deal to Earn.
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There are two essential layers to the onchain economy: chain and liquidity networks. And it is not often noted, more value is accrued at the liquidity layer ($5B+) than chain layer ($3B+). MetaDEXs treat liquidity as a network -- and will soon unify it around a single token.
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$NOW CEO Bill McDermott says the market is pricing in fear that LLMs could replace large parts of enterprise software. But in an AI economy where companies need to operationalize agentic AI safely, ServiceNow looks more like the control layer for governance, context, routing and oversight. The market is still struggling to separate software that gets disrupted by AI from software that becomes more valuable because AI needs exactly that control layer. I think ServiceNow sits much closer to the second bucket.

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Jensen Huang told a room of global investors that AI is not one industry. It is five stacked on top of each other. Most people are investing in layer four and ignoring layers one through three entirely. He called it the five-layer cake. Layer one is energy. Jensen said this is the single greatest opportunity for the energy industry in a hundred years. The first time in a century that the grid in most countries can actually attract serious capital. Nuclear, solar, wind, hydrogen, it does not matter what form. If it produces energy, it gets funded. Siemens, GE Vernova, Mitsubishi. That is why they are all doing so well right now. Layer two is chips, computers, networking, and silicon photonics. Everything that processes the intelligence. Layer three is infrastructure. Land, power, buildings, data center operations. Every single one in short supply today. Layer four is the model layer. OpenAI, Anthropic. The layer everyone talks about. Layer five is applications. Every startup applying AI to financial services, legal, healthcare, logistics, transportation. Last year alone, a hundred billion dollars of venture capital went into this layer. The single largest VC year in the history of humanity. Then he said the number that stopped me cold. We are putting one trillion dollars into this five-layer cake this year. That sounds enormous. Jensen thinks the AI industry will eventually run at twenty trillion dollars per year. We are one trillion in of a twenty trillion dollar per year ecosystem. Most people watching AI are staring at layer four. Jensen was describing layers one through five as a single compounding system where every layer feeds the one above it. The people who understand that will invest differently than the people who do not.

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Hello there people, so we recently cut a client's LLM costs from $40K to $16K/month. One SDK change. Zero refactoring. The problem you face is that your app talks directly to OpenAI/Anthropic. There is no intelligent routing → No fallbacks when providers go down → No PII protection → AND DEF No cost control So we came up with the solution and built the middleware layer that should exist. You just have to import metriqual client = metriqual.OpenAI(api_key="your-key") THE SAME INTERFACE BUT NOW: Intelligent routing (cost/latency optimized) 2. Automatic failovers between providers 3. PII detection & redaction 4. Request caching 5. Prompt versioning without code changes 6. Sub-millisecond Rust infrastructure If you're spending $5K+/month on LLMs, we'll show you where 40-60% is leaking. Now is this not great? Demo:

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