ProjectBarks
There have been numerous scandals of AI companies offering CC/cursor alternatives, then indexing data they never should have; specifically Z.ai [0], ByteDance Trae [1] and Alibaba Qwen [2]. Maybe the argument should be that all harnesses should be sandboxed and monitored for all networking.
If it were me, all AI harnesses would be running on a VM with network logging enabled. Beyond not being able to trust what data they send via the harness, you should audit what data they access.
[0] https://www.chosun.com/english/industry-en/2026/09/22/ABYLC3...
[1] https://github.com/segmentationf4u1t/trae_telemetry_research
> 4.4. Paper.js (ext1790438722.js)
> Upstream Project: Paper.js (by Jürg Lehni & Jonathan Puckey)
> License: MIT License
> Specific Violations: MIT Condition: The MIT License mandates: "The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software." The entire ~200 KB Paper.js library is embedded in minified form with all author names, copyright notices, and license text stripped.
I question the seriousness of the author of "Photosuite". Who goes through the trouble of creating accounts to prove poorly, that they "didn't steal code".
It sounds like there could be something extremely interesting in this article, but the writing style is really off-putting.
> "on staging first and then on production at 23:40"
Why does the reader need to know the exact minute-to-minute timeline?
Ultimately, the problem is people aren't actually benchmarking any of these ideas or if they are its via an extremely misleading methodology. For example, headroom violates cache frequently, nullifying any potential savings it could have; but does their benchmarks show that? Nope. [1]
As an aside, I wonder how many days are we away from Codex or Claude taking all the "read" tool calls and re-assembling a full map of your codebase and then offering it as a feature.
Here are other cases demonstrating the exact same issues with these kinds of tools:
https://blog.jetbrains.com/ai/2026/07/rtk-claude-code-token-... https://brandonbarker.me/writing/headroom-fewer-tokens-bigge...
Lucy 2.5 – Realtime Video Editing via World Model
Uber moves to acquire Delivery Hero for €12.5B
> Hong Kong-based Rich Sparkle Holdings (ANPA) reported to the SEC on Jan. 9 it was acquiring Lame's Step Distinctive Limited, and announced the $975 million all-stock transaction closed in a press release two days later.
> Rich Sparkle boasted the deal would offer a "structured, exclusive, full-chain, platform-style commercialization system" around Lame, who would be a "controlling shareholder," and whose likeness would be replicated by an "AI Digital Twin."
> Soon after, Rich Sparkle's stock skyrocketed over 650%, reaching a high of $180.64 per share on January 15, with Lame's stake worth $6.6 billion (based on his 49% ownership of Step Distinctive, which gave him a 41% stake in its buyer), though due to limited disclosure requirements for foreign entities, it's unclear whether Lame sold any shares.
> Rich Sparkle had first listed on Nasdaq six months prior in July, in a small offering of 1.25 million shares priced at $4 each with an implied enterprise value of about $50 million, according to SEC filings, and it disclosed 2024 revenue of under $6 million from "designing and printing high quality financial materials."
> Rich Sparkle's sudden shift in focus, explosive stock growth and quick crash---it's dropped as low as $41, 77% from its peak---has some critics raising "red flags."
> Lame, who has over 160 million followers on TikTok and 78 million on Instagram, only commented on the deal 11 days after Rich Sparkle announced it had closed, saying "Congratulations to the team at ANPA very excited to be a shareholder and looking forward to doing great things!" (Lame and Rich Sparkle have not responded to Forbes' requests for comment).
> Based on Rich Sparkle's most recent stock price, Lame's net worth appears to be $3 billion, but given its tiny float of less than 5%, Forbes would value it based on its financials and not its stock price, meaning he's nowhere close to being a billionaire.
What I gathered, the $975M deal was paid in stock = 75,000,000 new ANPA shares to the sellers which is roughly $13 a share.
If they really issue 75M new shares (vs ~12.5M outstanding, ish), doesn't that basically destroy the scarcity and force the price to re-anchor closer to the $13ish deal valuation? Like post, deal you're at ~87.5M shares, so even a ~$1B valuation is like $11/$13 a share not $60/$100/$180.
And... $975M for an influencer operating company sounds totally crazy if there isn't any real revenue/EBITDA that supports it. Does anyone have the actual numbers for Step Distinctive / Khabys business? Any comparable deals where an influencer brand was valued anywhere close to this?
What am I missing?
Feels like something is missing... maybe just a pixelation effect over the actual result? Seems like a lot of the images also lack continuity (something they go over in the article)
Overall, such a cool usage of AI that blends Art and AI well.
Show HN: High Performance Go Case Insensitive HashMap
I had a few ideas for some areas for improvement:
1. Interactive Debugging - It would be great if users could click through the code line by line to see how execution flows.
2. UI Improvements – There's a lot of whitespace. Consider:
- Moving the title to the top left to free up space.
- Flattening the buttons for a cleaner, more modern look.
3. More Context – A brief explanation of why visualizing goroutines is useful (e.g., debugging race conditions, understanding concurrency) could make it more accessible to newcomers.4. Goroutine Analysis – Could be cool to highlight:
- Goroutines that are still running after execution ends.
- Common concurrency issues like improper synchronization or goroutine leaks.React Open Sources Compiler
Building a String Art Machine [video]
An Analysis of Caffeine in Coffee
Best source I could find: https://www.themuse.com/profiles/uber/team/engineering
Seems to me all good things for this article to do.
The HR has fairly large bounds... 1.03 to 1.25 so there is increased risk but this still does not tell you if people who consume a lot of sugar substitutes also exhibit behaviors that increase their risk of cancers. Such as also consuming highly processed food.
One thing I have anecdotally noticed is there are some parts of the US that are much more oriented towards drinking than others, such as NYC.
So far it has been an extremely reliable product that was fun to get some scripts running on. I use a raspberry pie with a cron job to update the board with the weather and my daily schedule. Board actually looks extremely repairable for each individual character, and have has no issues with reliability in ~6mo.
API currently is through a rest interface which they have promised to keep free despite charging for plugins shared through their a subscription model. They had promised a native/local API but I have not heard anything from that.
Overall would recommend but it falls in the tech art category for sure.