#aihype — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aihype, aggregated by home.social.
-
CW: AI, books
@anthropy Not weird at all. I’ve looked but not found any *direct* evidence at all of book shredding, not even Amazon which was widely re-reported. No photos. No identified whistleblower. BBC followup reported a secondhand shop selling 3 boxes of books - which is evidence of what exactly? I posted once on #AmazonVGT3. The book shredding story had people justly riled, but is it a story intended to rile people? Apparently Musk said people shouldn’t shred books. Is it all part of an #AIHype machine?
-
We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:
"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."
-
We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:
"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."
-
We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:
"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."
-
We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:
"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."
-
We are not getting "Artificial General Intelligence" from anything like the current systems (or ever, probably). This from Marty Hart-Landsberg:
"All multimodal generative AI systems are built using the same basic architecture, one based on largescale pattern recognition shaped by training data and statistical prediction, which makes it incapable of serving as a bridge to anything resembling AGI. This structure also limits its usefulness. Among the most serious problems: the amplification of biases and falsehoods contained in the training data and the tendency to hallucinate or present incorrect or entirely fabricated information as factual. These problems are a major reason why AI developers felt it necessary to pursue a growth strategy that relied on heavily subsidizing the cost of using their systems."
-
Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
-
Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
-
Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
-
Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
-
Strongly recommend the writings of Marty Hart-Landsberg for an introduction to AI hype and economic issues. Good overviews in Monthly Review and on his website:
https://monthlyreview.org/articles/tech-billionaires-the-ai-threat-and-resistance/
https://economicfront.wordpress.com/artificial-intelligence-challenges-and-resistance/
-
Weekly output: DDoS attacks, Ed Zitron at Ai4, Delta WiFi spoofing, security perspectives from Black Hat’s NOC, AT&T’s Turbo Live
Having zero in-person work events on my calendar this week was a real treat after spending the prior week in Vegas bouncing between two conferences. That downtime also allowed me to finish two stories from those events.
8/11/2026: Major DDoS Attacks Are Booming, But US No Longer the Most Targeted Country, PCMag
I wrote up a Cloudflare report on trends in distributed denial-of-service attacks and closed it out with a reminder of how efforts to set security standards for the connected gadgets that are often enlisted into DDoS botnets continue to lag.
8/11/2026: This Tech Expert Thinks It’s ‘Time to Call Bullshit on the AI Industry’, PCMag
The easier thing to do with Ed Zitron’s talk at Ai4 would have been to write a scaffold of a post around his most memorable lines, but I wanted to provide some context for the numbers he threw out. The required research started feeling like an exercise in yak shaving, in part because the AI data-center news cycle did not stop.
8/12/2026: Delta Passenger Spoofs Wi-Fi in the Air (Pro Tip: Don’t Do This), PCMag
After seeing so many other places jump on this story, I decided I should do my part–and make sure that my own post, unlike so many others, would feature a photo of 757 in Delta colors instead of some other plane in DL’s fleet.
8/14/2026: At Black Hat, AI is helping security pros find threats—and creating new ones, Fast Company
This was a Black Hat meeting request that I enthusiastically obliged, because Black Hat network admins don’t hold back when they’re talking about unwise behavior they’ve seen on the conference’s WiFi. James Pope (outside this information-security conference, senior director of security product research at Corelight) had some forceful advice for people using AI to vibe-code their own software: “Stop having janky apps.”
8/15/2026: At Rush Concert, AT&T’s Turbo Live Rocked, With Dazzling Download Speeds, PCMag
This story ran almost a month after the concert in question; first I had to field various bits of breaking news, then I had to tell my AT&T PR contact to set aside my questions about this data-only power-up and instead answer a query about a round of retroactive rate hikes, then Ai4 and Black Hat monopolized my journalistic bandwidth. I may or may not have also needed additional time to see how many Rush song-title references I could sneak into this post.
#AI #AIHype #Ai4 #ATT #BlackHat #Cloudflare #cybersecurity #dataCenters #DDoS #Delta #DeltaWiFi #DeltaWiFi #DL #EdZitron #informationSecurity #infosec #NetworkOperationsCenter #NOC #Rush #TurboLive #UnitedCenter #vibeCoding -
Mystery AI Hype Theater 3000, Episode 75 - Uber for Military Surveillance
https://peertube.dair-institute.org/w/wj7Grbrxg68coW5oacWtLX
-
Tesla ends 2025 struggling with falling demand, aging models, shrinking margins, and delayed AI ambitions like robotaxis and Optimus. Competition especially from Chinese EV makers is surging, and the end of U.S. tax credits hit sales hard. Energy storage is growing, but not enough to offset weakening automotive cash flow.
#Tesla #EVSlowdown #MarketReality #AIHype #Margins #Competition #TECHi
Read Full Article Here :- https://www.techi.com/tesla-stock-rises-on-market-sentiment/
-
OpenAI is coming to Zürich, joining Google, Meta, Anthropic and others. On LinkedIn and Bluesky (hard to tell them apart at the moment), this map of Zürich is making the round, usually with celebratory messaging of the sort "will Zürich be the next San Francisco?".
You know what?
I do not want to continue this ongoing experiment on what happens to a city culturally and socially when it is flooded by lots of venture capital from California.
#aihype #bigtech #zurich #ZuReich -
In #AI demos most of the time everyone is making things up.
[Nobody Special Finance] chats with Carl from [Internet of Bugs] who exposed what #DevinAI was really doing in that demo
https://youtu.be/LajT08Lb9as#AIhype #AIbubble #Sora_AI #TeslaFSD #GoogleGemini #GoogleDuplex