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Ed Zitron
@edzitron
Newsletter - Better Offline Podcast - - Column Business Insider - CEO at - Award-Winning Tech PR
5.5K Following    111.5K Followers
this sounds exactly like something Swisher would say though
Amusingly, both of these hallucinated quote examples use *the* most common AI writing tell of "It's not ____ — it's _____"
Commencement speaker: I love AI and I hate all of you. They gave me a big check to be here. I love firing people at my big company. I bet none of you would get jobs at my business now that we have AI (booing) Commencement speaker: oh? What? What?
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no it's not
AI slop should be called Human slop. It is almost always a human skill issue, resulting from bad direction, bad context, and bad taste.
so how does this make sense? > AI lab lays off 60% of staff bc of AI > selling LLMs is not “sustainable revenue stream” so pivoting to agents
Looks like (as I covered in last week's premium) history is repeating, this has all the hallmarks of the dot com bubble double ordering
A MUST-read interview with a Siemens employee explaining just how high demand is for energy equipment right now because of AI: 1. The whole situation is shocking even for people who have been in the business for 40 years. They are getting orders that are double the size of what their entire factory can produce in a year. 2. Demand is so high in the last 5-8 months that they don't need to convince or send any analysis (such as CO2 emissions, etc.) to clients because they just want the equipment, because there's so much backlog that they just want to catch the order. 3. Decisions are being made very quickly by clients; the backlog for some of the energy equipment companies is 5-6 years. For transformers, the situation is even more difficult. 4. He mentions that right now, data center builders do not care about sustainability; they just want power at any expense, reliable power. They say they will think about sustainability later. 5. The orders have gone from previous 20-30 MW orders to now 200-500 MW units. Customers have previously wanted to get equipment from different OEMs, but now they prefer an integrated standardized solution. 6. An interesting dynamic is that even though the data center requires 100 MW, the builders are buying N+1 units of gas turbines (so more than just for 100 MW) as backups, as well as having more energy capacity, as they believe they will continue to grow that data center. 7. He does believe there is some double booking going on on transformers and switchgears because of extra-long lead times. 8. Everyone is trying to reduce PUE, and water use effectiveness, but even after improving, they just use the same power to run more compute. 9. The problem is also liquid cooling, as it is expensive, and water availability in many regions is a problem. 10. Margins on equipment in the sector have gone from 4-6%, where they were 2-3 years ago, to 20-23% and in some cases even 40%. The data center builders know the margins are high, but they are fine with it because they just want to get it. found on @AlphaSenseInc
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Oh hey look it’s exactly what I said would happen: Google is selling TPUs to itself so it can rent them out to people
This is what shows up when look up "crashout" in a dictionary
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Honestly admire the artistry here
hilarious phishing email I just got. 10/10 execution
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It’s so funny that they keep doing this, both the people speaking and the people booing
Example 3: Grads BOO Scott Borchetta, CEO of Big Machine Records when he brings up AI during commencement speech. AI is losing the PR battle.
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If LLMs aren’t profitable how exactly are LLM based agents
LAYOFF ALERT: AI21 Labs 🚨 110 cut. 61% of staff. From 180 to 70 in a day. This is not a no name start-up. They have Google and Nvidia on the cap table. 575M raised. The Israeli LLM lab says selling language models is "not a sustainable revenue stream." Pivoting to AI agents.
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For those that want to understand my perspective, I recommend the recent Broken Silicon with @tekwendell, and a recent @ProfGMarkets Podcast with @edzitron: Level1Techs: Ed Zitron:
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My latest newsletter is about why the fatal flaw at the heart of generative AI isn't just the economics, but the fact that it's deeply uncool and hated.
what a waste of time
U.S. JURY FINDS OPENAI, CEO SAM ALTMAN NOT LIABLE TO ELON MUSK FOR STRAYING FROM CHARITABLE MISSION, BECAUSE MUSK WAITED TOO LONG TO SUE The verdict is out in the Musk vs. OpenAI lawsuit – OpenAI wins because Elon waited too long to sue. Big win for Sama
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False. As of the end of February 2026, xAI proceeded with the installation of an array of 27 mobile gas turbines at the Southaven site. Assuming these units are operational, they would provide a generating capacity of approximately 495 MW, effectively functioning as a large-scale power plant. Assuming the incomplete data center is occupied and capable of fully utilizing the entire 495 MW of power, that capacity could support approximately 350,000 to 400,000 H100-equivalent GPUs.
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AI companies currently subsidize their users $3 to $25 for every dollar of subscription. As a result, users are very sensitive to *any* price or rate limit changes, and have no idea of the actual costs of AI. Token-based billing will be lethal at scale.
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GitHub Copilot moves to token based billing on June 1, and its users got a calculator showing their actual monthly token burn - some $39-a-month users have spent $1500 to $5800 in tokens a month. I believe it's indicative of every AI startup.
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Today’s premium newsletter is part 1 of my What If...We're In An AI Bubble? series, covering scenarios that could burst the bubble starting with token-based billing's destruction of most AI products, and the slow collapse of data center construction.
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Andy Jassy literally a year ago!
AMAZON AWS CEO PUSHES BACK ON AI JOB APOCALYPSE WARNINGS – WSJ
AI companies currently subsidize their users $3 to $25 for every dollar of subscription. As a result, users are very sensitive to *any* price or rate limit changes, and have no idea of the actual costs of AI. Token-based billing will be lethal at scale.
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GitHub Copilot moves to token based billing on June 1, and its users got a calculator showing their actual monthly token burn - some $39-a-month users have spent $1500 to $5800 in tokens a month. I believe it's indicative of every AI startup.
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