| Website | https://jevon.org |
| Adaptory | https://store.steampowered.com/app/2201620/Adaptory/ |
#Adaptory Update 2 news, and we're 20% off in the Steam Summer Sale!
The final scope has been decided, all of the major content is being balanced and polished, tutorials are being written, and the finish line is in sight… including these mysterious objects... :D https://stormcloak.games/2026/06/25/update-2-steam-summer-sale #gamedev #indiedev
this is a spectacular read:
https://nesbitt.io/2026/06/26/incident-report-cve-2026-lgtm.html
[edit: cc @andrewnez]
This is brilliant. Congratulations, #Xero.
(Trying to do GST returns and it's clear the underlying code is not doing so hot right now.)
Okay so I have a lot of issues with a lot of Freddie De Boer's takes, but this one is a must-read top to bottom. Maybe you'll manage to get yourself a good deal on a smoke detector, too
https://freddiedeboer.substack.com/p/google-made-a-sad-boomer-mark-out
„1. The FOSS community should support, not just tolerate, those who outright reject LLM-gen-AI systems. There are many intersecting ethical and moral issues regarding these systems, many of which are not currently fully understood. Anyone who chooses to avoid them deserves our support and assistance.“
After that it gets worse, though.
From: @conservancy
https://social.sfconservancy.org/objects/29b5ef36-9384-4d59-bfdc-93418baccab2
"output is up. So is the rest of it: code churn up ~860%, incidents per change up ~245%, bugs per developer up ~55%. They call the pattern the Acceleration Whiplash, and it isn't a developer problem. It's a system one."
-- Kent Beck
substantial experiment: https://www.faros.ai/blog/ai-acceleration-whiplash-takeaways?utm_source=fnf&utm_medium=linkedin&utm_campaign=faros-june&utm_term=kbeck&utm_content=whitepaper
"Across a variety of tasks, including mathematical reasoning and reading comprehension, we find that although AI assistance improves performance in the short-term, people perform significantly worse without AI and are more likely to give up. [..] These findings are particularly concerning because persistence is foundational to skill acquisition and is one of the strongest predictors of long-term learning"
People often optimize for long-term goals in collaboration: A mentor or companion doesn't just answer questions, but also scaffolds learning, tracks progress, and prioritizes the other person's growth over immediate results. In contrast, current AI systems are fundamentally short-sighted collaborators - optimized for providing instant and complete responses, without ever saying no (unless for safety reasons). What are the consequences of this dynamic? Here, through a series of randomized controlled trials on human-AI interactions (N = 1,222), we provide causal evidence for two key consequences of AI assistance: reduced persistence and impairment of unassisted performance. Across a variety of tasks, including mathematical reasoning and reading comprehension, we find that although AI assistance improves performance in the short-term, people perform significantly worse without AI and are more likely to give up. Notably, these effects emerge after only brief interactions with AI (approximately 10 minutes). These findings are particularly concerning because persistence is foundational to skill acquisition and is one of the strongest predictors of long-term learning. We posit that persistence is reduced because AI conditions people to expect immediate answers, thereby denying them the experience of working through challenges on their own. These results suggest the need for AI model development to prioritize scaffolding long-term competence alongside immediate task completion.
I just got up to the hot dogs, and my GOD, this whole thing is so fucking funny.
Reminding us that Stephen Colbert has always hit really satisfying triples in the same parks as both Dick Cavett and Tim & Eric.
Stormcloak Games
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