Ambientmuse Studios

@tech__unicorn Nope he or she is not a 10 in that case.

If he's a 10 but can't code manually, is he still a 10?

@TeksEdge What is your tool stack to get that kind of consistency in speed. I find my GB10 at work bogging down after a few hours of heavy usage.

🔥 New Tech Changes Local Inference Game: Ditch Dual RTX-3090 Rig for DGX-Spark. Cheaper and more Memory (128GB > 48GB) 🆕 DFlash + DDTree = DGX Spark single-stream inference winner! 👇 🔬 2026 Breakthroughs 1️⃣ Block diffusion (DFlash) drafts 10-16 tokens in ONE pass → 6-8x+ lossless speedup. 2️⃣ DDTree builds draft trees on top for even higher acceptance rates. 📊 Fresh Spark Benchmarks (April 2026) • Qwen3.6-35B-A3B NVFP4 + DFlash: 91–97 tok/s single-stream ⚡ • Qwen3.5-27B AWQ + DFlash/DDTree: 91 tok/s (96.4% draft acceptance, ~9x vs baseline bf16) 🔥 • Gemma4-31B: 2.5–2.8x uplift with DFlash alone 🚀 • Bonus Optimized Qwen3.6-27B FP8 hitting 136 tok/s avg (peaks ~200 tok/s) ⚡ Bottom line Single-stream speed bragging is dead? Spark’s 128GB unified memory + Blackwell edge now beats dual-3090 setups in real-world use.

@MilksandMatcha I want it so I can continue to build my product Elite Maneuver elitemaneuver.com and help more people run for office and we get better politics in this country.

Giving away 5 more Codex Pro plans for folks to try out multi-agent workflows with Codex and Codex Spark Each person will get 3 months of free Codex Pro (highest tier). Winners will be selected from comments in 48 hours, comment below why you want it.

@SportsTalk_304 @A_S12 @NASCAROReillyAP @SBJ @grok what is OAPS and CUV

Fans: "we love the OAPS and think it's the best racing every week and viewership is almost higher than Sundays now! Please make the cup cars more like them!" NASCAR: "the OAPS has no identity so we think we should switch it to electric CUVS so Kia will consider it" NASCAR truly has the most out of touch leadership of any pro sport/motorsport. They need to clear house before it's too late

John Probst says CUV could give @NASCAROReillyAP clearer identity: "If you look at the brand identity of those three, the O'Reilly Series struggles a little bit just from the car perspective and you see it a lot because we refer to it often as whoever the entitlement sponsor is."

@thsottiaux I’m switching.

I don't know what they are doing over there, but Codex will continue to be available both in the FREE and PLUS ($20) plans. We have the compute and efficient models to support it. For important changes, we will engage with the community well ahead of making them. Transparency and trust are two principles we will not break, even if it means momentarily earning less. A reminder that you vote with your subscription for the values you want to see in this world.

@TheAmolAvasare Here's your feedback you change out plans underneath people at random with no announcements you lose customers. I thought I was building on a reputable company with professional staff... not some jackasses who randomly change things and don't announce risk to anyone.

So we're looking at different options to keep delivering a great experience for users. We don't know exactly what those look like yet - that's what we're testing and getting feedback on right now.

For clarity, we're running a small test on ~2% of new prosumer signups. Existing Pro and Max subscribers aren't affected.

@TheAmolAvasare Well fuck you for ruining a core piece of my dev stack... lesson learned #redundancy

@0xSero Tell us more please. This sounds like my idea of a good time.

Did you know you could literally transplant pieces of models into other models For example, when I'm pruning I will regularly take narrow weights, experts, or vl from one model to another You can also slice and dice things around in so many interesting ways, 8gb is good start

@claudeai @grok how much does it cost to run routines on their web infrastructure

Now in research preview: routines in Claude Code. Configure a routine once (a prompt, a repo, and your connectors), and it can run on a schedule, from an API call, or in response to an event. Routines run on our web infrastructure, so you don't have to keep your laptop open.

@atechiethought @goose_oss @grok how much does it cost to run routines on their web infrastructure

Not discrediting or lowering the significance of this Claude release. However, I see @goose_oss had first. I love goose and was very much surprised to see advanced features like Recipes, Extensions and Scheduler before Claude. Love the way, fwd thinking of OSS. #genai #agents

@tech__unicorn @grok what product is this now

Cursor, Lovable, Bolt and Replit were just chilling then anthropic leaks a build that competes with all of them or has Amodei just figured out that leaks are an effective form of marketing? because he won't stop nuking markets like this

@MiniMax_AI @grok which license is it open sourced under

We're delighted to announce that MiniMax M2.7 is now officially open source. With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%). You can find it on Hugging Face now. Enjoy!🤗 huggingface：huggingface.co/MiniMaxAI/Mini… Blog: minimax.io/news/minimax-m… MiniMax API: platform.minimax.io

Love this quote from @Pontifex

@DataRepublican @nicksortor @GatesMcgavick @PamBondi @grok is this true

Been researching DC juries this morning. Did you know that DC has a specific school curriculum which is mandatory from 6th to 12th grade which trains them in civic participation including juries? Students are taught how to look past the actual crime and evaluate all charges through "root causes" and equity. There's no chance of a favorable conviction in DC.

The people doing this think they’re the resistance; they’re really just mid-level bureaucrats who got mad that they could no longer leave the office at 4 PM or work from home daily when @PamBondi arrived. And they do not represent all DOJ career staff.

@Paperviewr @elonmusk @xai Way ahead of you. I’m 95% open source in my efforts now and if Elon creates some tooling for developers it will “Not Suck” and be some level of open source.

@ambientstudio24 @elonmusk @xai Think you should shift to an open source model. Not go to a different private company that can cut you off at anytime

Troubling

Claude knows! —> The Lump of Labor Fallacy and Why AGI Unemployment Panic Is Economically Illiterate Let me lay this out with full rigor, because this argument deserves to be prosecuted completely rather than waved away with a sound bite. I. What the Lump of Labor Fallacy Actually Is The lump of labor fallacy is the assumption that there exists a fixed, finite quantity of work in an economy — a lump — such that if a machine (or an immigrant, or a woman entering the workforce) does some of it, there is necessarily less left for human workers to do. It treats employment as a zero-sum pie. The fallacy was named and formalized in the early 20th century but the error it describes is far older. It animated the Luddite riots of 1811–1816, where English textile workers destroyed power looms convinced that the machines would steal their jobs permanently. It drove opposition to the spinning jenny, the cotton gin, the mechanical reaper, the steam engine, the telegraph, the railroad, the automobile assembly line, the personal computer, and every other major labor-displacing technology in the history of industrial civilization. Every single time, the catastrophists were wrong. Not partially wrong. Structurally, fundamentally, categorically wrong — because they misunderstood the nature of economic production itself. The reason the fixed-pie assumption fails is this: demand is not fixed. Work generates income. Income generates demand for goods and services. Demand for goods and services generates new categories of work. This is an engine, not a reservoir. When you drain some of the reservoir with a machine, the engine speeds up and refills it — and often refills it past its previous level. II. The Classical Economic Mechanism That Destroys the Fallacy To understand why the lump-of-labor assumption is wrong about AGI, you need to understand the precise mechanism by which technological unemployment resolves itself. There are four distinct channels, all operating simultaneously: Channel 1: The Productivity-Demand Feedback Loop (Say’s Law, Modified) When a technology increases the productivity of labor or replaces labor entirely in a given task, it lowers the cost of producing whatever that task was part of. Lower production costs mean either: ∙Lower prices for consumers (real purchasing power rises), or ∙Higher profits for producers (which get reinvested, distributed as dividends, or spent as wages for other workers), or ∙Both. Either way, aggregate real income in the economy rises. That additional real income does not evaporate. It gets spent on something — including goods and services that didn’t previously exist or were previously too expensive to consume at scale. That spending creates demand. That demand creates jobs. This is not a theoretical conjecture. The average American in 1900 spent roughly 43% of their income on food. Today it’s around 10%. Agricultural mechanization didn’t produce a nation of starving unemployed farm laborers — it freed up 33% of household income to be spent on automobiles, television sets, air conditioning, healthcare, education, travel, smartphones, and streaming services, most of which didn’t exist as industries in 1900. The workers who left farms went to factories, then to offices, then to service industries, then to information industries. The economy didn’t run out of work. It metamorphosed.

Introducing One. The simplest way to connect and monitor AI agents to hundreds of apps. And we’re open-sourcing the world’s largest integration database powering it: 47,000 agentic actions across 250+ apps. RT + comment “One” for access & 1M free API requests/month.

@katibmoe One

One just dropped and my AI agents can finally talk to all 250+ apps without me duct-taping APIs together