Readit NewsThis whole story sounds ridiculous. And I don't think he's clueless, but instead the guy wanted to bring attention to his bizarre "B2B + AI Community, Events, Leads", so setting up such a predictable footgun scenario seems purposefully suited for that outcome.
Agreed, it sounds like nothing of value was actually lost, just a vibe coded app and synthetic database.
Honestly, the person who decided to give an LLM Agent full and unrestricted access to their production database is the person who deserves all the blame. What an absolutely silly decision. I don't even give myself unrestricted access to production databases.
The database was synthetic and vibe coded itself:
>he said that the AI made up entire user profiles. "No one in this database of 4,000 people existed," he said.
What's really needed is a way to easily prune context. If I could go and manually manage the entire chat with a model, I could squeeze way more juice out of a typical ~200k token coding session.
Instead I have a good instance going, but the model fumbles for 20k tokens and then that session heavily rotted. Let me cut it out!
/compress is the command to do this in most cli agents
lordswork commented on At Amazon's biggest data center, everything is supersized for AI nytimes.com/2025/06/24/te... · Posted by u/pseudolus
lordswork commented on At Amazon's biggest data center, everything is supersized for AI nytimes.com/2025/06/24/te... · Posted by u/pseudolus
>A year ago, a 1,200-acre stretch of farmland outside New Carlisle, Ind., was an empty cornfield. Now, seven Amazon data centers rise up from the rich soil, each larger than a football stadium.
Can't they find brownfield sites instead of fields
This comment got me wondering whether loss of farmland in the US is a serious issue.
It looks like there's about 800 million acres of farmland in the US and we're losing about 2 million acres per year to the land being repurposed. Despite that, crop production has more than tripled in the past 70 years due to technological advances.
That said, economic effects, loss of farmland, and climate change have contributed to slower growth and higher variability of crop yields recently.
In the past decade there's been a modest 0.8% annual increase in crop production despite losing about 2 million acres per year.
lordswork commented on The Miyawaki Method of micro-forestry futureecologies.net/liste... · Posted by u/zeristor
For those wondering, the Miyawaki method differs from normal planting by doing the following:
- heavily pre-treat soil with organic matter (simulating forest floor)
- plant a mix of native plants that will make up canopy, tree, sub-tree, and shrub layers
- densely planting plants (3-5 saplings / m^2)
- heavy mulching after planting (weed suppression, moisture control, nutrients)
This encourages rapid growth into a biodiverse dense forest much faster than standard planting techniques.
The idea has also been around for at least 15 years; "ensemble learning" was a topic in my "Data Mining" textbook from around then.
Meta calls these individually smaller/weaker models "experts" but I've also heard them referred to as "bozos", because each is not particularly good at anything and it's only together that they are useful. Also bozos has better alliteration with boosting and bagging, two terms that are commonly used in ensemble learning.
MOE as an idea specific to neural networks has been around since 1991[1] . OP is probably aware, but adding for others following along, while MoE has roots in ensembling, there are some important differences: Traditional ensembles run all models in parallel and combine their outputs, whereas MoE uses a gating mechanism to activate only a subset of experts per input. This enables efficient scaling via conditional computation and expert specialization, rather than redundancy.
> The problems it raises - alignment, geopolitics, lack of societal safeguards - are all real, and happening now (just replace “AGI” with “corporations”, and voila, you have a story about the climate crisis and regulatory capture).
Can you point to the data that suggests these evil corporations are ruining the planet? Carbon emissions are down in every western country since 1990s. Not down per-capita, but down in absolute terms. And this holds even when adjusting for trade (i.e. we're not shipping our dirty work to foreign countries and trading with them). And this isn't because of some regulation or benevolence. It's a market system that says you should try to produce things at the lowest cost and carbon usage is usually associated with a cost. Get rid of costs, get rid of carbon.
Other measures for Western countries suggests the water is safer and overall environmental deaths have decreased considerably.
The rise in carbon emissions is due to Chine and India. Are you talking about evil Chinese and Indians corporations?
Emissions are trending downward because of shift from coal to natural gas, growth in renewable energy, energy efficiencies, among other things. Major oil and gas companies in the US like Chevron and ExxonMobil have spent millions on lobbying efforts to resist stricter climate regulations and fight against the changes that led to this trend, so I'd say they are the closest to these evil corporations OP described. Additionally, the current administration refers to doing anything about climate change a "climate religion", so this downward trend will likely slow.
The climate regulations are still quite weak. Without a proper carbon tax, a US company can externalize the costs of carbon emissions and get rich by maximizing their own emissions.
If anyone gets on, please post a screenshot.