Former $GOOGL employee on why data center capacity and electricity are the real bottlenecks, not GPU production itself, and how unreliable some of the neoclouds are ($AMZN, $GOOGL, $MSFT, $NVDA): 1. According to the expert, open-source models are closing the gap with frontier models faster than expected, with customers increasingly replacing Anthropic and OpenAI models in multi-agent architectures with open-source alternatives starting from Q2 of this year. The shift started with simple tasks like tool calling and MCP, but has moved up the stack to low-level orchestration. 2. The expert identifies capacity as the biggest constraint at the moment, with certain companies' traffic growing 5x while GPU availability, particularly in the U.S. where latency requirements are tightest, simply cannot keep up. Sourcing capacity overseas in Asia or Australia is technically possible but adds latency that most customers will not accept. 3. Hyperscalers offer reliability but are expensive, require multi-year commitments of three or more years, and have limited availability of the latest hardware, with customers already chasing B300s. AI-native companies tend to gravitate toward neoclouds due to hyperscaler pricing and contract rigidity, but neoclouds come with their own reliability issues, with GPUs dropping off unexpectedly and requiring engineering resources to manage fleet stability around the clock. 4. The third tier consists of smaller independent operators who have invested in GPU racks, seeing the opportunity to lease out capacity and recoup costs within a year or two, with the remainder being pure profit. The expert describes these as essentially unusable in practice, with operators who do nothing more than find land, install racks, connect electricity, and set up cooling, with no real cloud management, maintenance, or operational expertise behind them. 5. The expert expects overall GPU availability to increase meaningfully over the next year or two, with $NVDA continuing to ramp production. The real bottleneck is not GPUs themselves but data center capacity and electricity in the U.S. On the supply side, the expert also sees players $SPCX beginning to lease out spare capacity to the market, with more likely to follow. 6. The expert notes that U.S.-based neoclouds typically require 20-30% prepayment upfront, with the remainder paid monthly or quarterly over the contract term, and rebates negotiated at the end for any reliability incidents like traffic loss. APAC-based providers operate differently, with no prepayment required at all. found on @AlphaSenseInc

BREAKING: Southwest Airlines has announced it will expand Starlink to its entire fleet by fall 2027. It expects to become the first major U.S. airline to complete a fleetwide Starlink rollout.

Incentives drive outcomes. If you pay NGOs based on the number of homeless people they manage, they will **never** decrease the number of homeless people. The data is very clear on this.

Going forward, all advertising on 𝕏 will be subject to a reasonable esthetic standard. Advertisers who post ads that are ugly, shrill, strident or overstate claims about their product will be barred from advertising.

In September, China's combustion vehicle (ICE) sales dropped to just a third of the market for the first time Battery electric vehicles are getting close to half of the market (47.3%), while Plug-ins added another 19.7%. Only 5 years from >90% to 33% ICE.

imagine an Amazon competitor that is: 1) agent first - built for personal agents 2) america first - sells only products from usa might actually be a huge market for this.

New opinion article about @Starlink from a 7-year Delta Airlines Diamond Medallion status member (their highest loyalty tier): "After flying a United flight in July that included Starlink, it was enough reason for me to switch. It was amazing, like being on the internet at my house, that's how fast it is. For the two-hour flight, I was just doing work. As a founder, I don't get the luxury of being able to log off for a few hours in the middle of the day. When Slack and email are going, or I'm collaborating and working with teammates, or I'm building an app, I want to have fast internet. On most Delta flights that I'm on, there's at least some segment of the flight during which the internet goes out for a period of time, whether for a few minutes or 20 minutes. The reliability of the uptime leaves a bit to be desired. Nearly all of Delta's peers went with Starlink, while Delta went with Amazon's Leo, which won't be out until 2028. I hope Delta takes stock of all the online chatter and listens to its customers. It has done a great job in the past of continually improving its product and listening to its customers. For the most profitable and what I feel is the most premium airline in America, it seems odd for Delta not to outfit its planes with the best in-flight internet." I think we'll see more and more stories like this. As people get a taste of Starlink wi-fi on planes, they won't want to go back, and will demand better internet from airlines that don't have it, and in some cases, just switch to flying other airlines that do have it.

SpaceXAI’s Grok Voice 3.0 is the new leading Speech to Speech model, debuting at #1 on the Artificial Analysis Speech to Speech Index at 86.9, while also being competitive on latency Grok Voice 3.0 is @SpaceXSI 's successor to Grok Voice 2.0, a Speech to Speech model available through the SpaceXAI Realtime API at $0.08 per minute. We evaluated Grok Voice 3.0 with the Rex voice through the SpaceXAI Realtime API. Key takeaways: ➤ Speech to Speech Index: Grok Voice 3.0 debuts at #1 at 86.9, ahead of GPT-Live-1 (Astra, medium) at 83.2, Gemini 3.8 Live Extended Thinking (High) at 82.6 and GPT-Live-1 (Sol, low) at 80.1. It is up on Grok Voice 2.0 at 81.3 (+5.6 points) and Grok Voice 1.0 at 73.7 (+13.2 points), released just under six months ago. The Index averages Speech Reasoning (Big Bench Audio), Agentic Performance (Tau Voice), Arena Preference, and Task Success Rate ➤ Speech Agent Arena: Grok Voice 3.0 ranks #3 in preference at Elo 1070, behind Gemini 3.1 Flash Live Minimal (1100) and Gemini 3.8 Live (1088) and ahead of GPT-Live-1 (Sol, low) at 1057, and #1 on Task Success Rate at 94.8%, highest on the board, just ahead of Grok Voice 2.0 at 94.6%. Grok Voice 2.0 trails at Elo 1011 ➤ Tau Voice: Grok Voice 3.0 takes the #2 spot on our Tau Voice benchmark implementation at 71.6%, behind GPT-Live-1 (Astra, medium) at 74.5% and ahead of Gemini 3.8 Live Extended Thinking (High) at 68.6% and GPT-Live-1 (Sol, low) at 59.3% - up from 56.5% for Grok Voice 2.0 ➤ Big Bench Audio: Grok Voice 3.0 scores 98.5% on audio reasoning, ahead of Gemini 3.8 Live Extended Thinking (High) at 97.7% and Grok Voice 2.0 at 97.2% ➤ Speed: Average Time to First Audio on Big Bench Audio is 0.81 seconds for Grok Voice 3.0, well ahead of GPT-Live-1 (Sol, low) at 1.24s, GPT-Live-1 (Astra, medium) at 1.34s and Gemini 3.8 Live Extended Thinking (High) at 1.35s, though slower than Grok Voice 2.0 at 0.70s ➤ Cost: Grok Voice 3.0 costs $4.80 per hour of input audio, the same as Grok Voice 2.0. That is above GPT-Live-1 (Sol, low) at $4.47 and Gemini 3.8 Live Extended Thinking (High) at $3.50, cheaper than GPT-Live-1 (Astra, medium) at $5.83, and ~2.2x cheaper than GPT-Realtime-2.1 High at $10.75 Congrats to @elonmusk and the @SpaceXSI team 🚀 See below for more detail ⬇️

Introducing Grok Voice 3.0, the world’s most intelligent speech-to-speech model. It excels at resolving customer calls, responds in under a second, and costs less than other frontier models.