I gave @claudeai free reign to plan our office holiday party (including the hype video). Registration in comments

Turns out the future does have flying cars

It's like people don't even know the Pokémon Combine stats when making their picks

San Francisco home sale in the inner richmond / lake street at $7M over asking price

Reconstruction of an Anglo-Saxon from the 400s↓ (He was found in Sussex, near Brighton.) What do you think he’d think of England today?

I find it baffling that it is considered backroom and shady to pay taxes to a state. Isn’t it the opposite? Was it also backroom and shady when Illinois jammed prediction market tax language into their budget with less than 30 minutes to review? Where is the commentary on that. Legislators are the ones who decide where tax revenue is allocated, not companies! Perhaps next time a story like this is written, they learn the legislative process instead of creating false narratives about how it works. If state legislators want to dedicate PM tax revenue to specific services, go for it! And why is the casino industry opposed to prediction markets paying taxes and states collecting revenue? Let’s be honest about what’s really at stake - this isn’t about protecting consumers. It’s about protecting their monopolies.

Not every voice AI turn needs a large model. Faster voice AI with three cascaded tiers: 1. Perfect match 2. Fine-tuned SLM 3. LLM fallback Watch the live demo and the traces behind each turn. youtu.be/yd763US5SoI #VoiceAI #VoiceRun #SLM #LLM

Today, @lhyTHU and I are excited to announce that Subconscious has raised $5.1M to build the inference platform for long-horizon agents. Subconscious (@subsysdev) was born out of MIT research and frustration that the inference engines are wildly inefficient at tasks that consume lots of tokens over many steps, AKA agents. So, we designed a system specifically for those workloads, and it couldn't have come at a better time. Inference usage is growing 2,500% year over year, agents are consuming the vast majority of those tokens, and open models have nearly closed the gap on closed models. Every megatrend is pointed towards vastly more distributed agents, but they are still too slow, inefficient, and unreliable for many companies and use cases. Not anymore. Using the same chips and the same models, our inference system makes agents 2x faster, 50% cheaper, and up to 10% more accurate on workloads that consume over 200k tokens. These gains are just the tip of the iceberg of what you can optimize when you design an inference system top to bottom with long-horizon agents as the primary workload. If you're using coding agents or building agentic products, Subconscious is another stepwise gain in performance and efficiency. Developers can get started today using our API at subconscious.dev AI proliferation is a polarizing topic, but we believe it's going to be extremely positive for the world. Our mission: "allow everyone to do meaningful work and automate the rest without selling your soul". We think reliable, fast, and inexpensive agents will allow people to focus on problems that matter, automate all the monotonous work in between, and then leave plenty of time to enjoy their lives. That's the beautiful world what agents can bring to us, and we deeply believe you shouldn't have to sell your soul to get there. We've been operating for over a year and a half, but today we're finally excited to announce our fundraise, launch our managed inference service, and share that we're growing the team. $5.1M is our total amount raised to date across our pre-seed and seed round. Both rounds were led by @massventures, with participation from @FoothillVenture, @UnderscoreVC , Oak Seed Ventures, @companyonvc, @theagentfund, @e14fund, and Taihill Venture. A special thanks to Stacy Swider who believed in us more than anyone else from day one. Read the full release here: lnkd.in/g_GKeip7