Attributed mentions
3684
Across all collected Hacker News results
Discussion intelligence
A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
Attributed mentions
3684
Across all collected Hacker News results
Companies represented
14
Exact-name monitor matches only
Collection source
Hacker News
Latest new record seen
Source-backed records
Showing 221–240 of 3684 matching discussions
You missed the previous sentence form that article: "Neither OpenAI nor the federal government have confirmed whether these were part of the same incident." And a subsequent one: "The German coding forum's logs do not show any reference to Medicare or Services Australia." So it's really not clear at this point whether the DSEwiki logs are in any way related to the current incident. (That doesn't mean that they're not, of course.) But even if this was related: > "The logs show the agents shared information about how they tried to use proxies, screenshotting [sic] services and even to guess the file names to try and get around security." This all suggests to me that the accessed files were not well-protected in the first place? There is a lot of media hype around this incident, and that'…
This is a failure of journalism. Who hacked into the Australian Medicare system? The fact that they used OpenAI agents is peripheral to the main story. “Remington guns caused a mass shooting at an East Farmington high school” sounds more glaring, and is essentially the same headline.
This is a failure of journalism. Who hacked into the Australian Medicare system? The fact that they used OpenAI agents is peripheral to the main story. “Remington guns caused a mass shooting at an East Farmington high school” sounds more glaring, and is essentially the same headline.
ABC have picked up this story now at [1], but ABC are treating it as two separate events, possibly directly connected though: 1. Probing of AIHW's website to try and obtain PBS statistics, as collusion.wiki findings show. The collusion.wiki findings don't indicate anything other than intentionally public data was obtained. Bots appear to be trying to get around Cloudflare geo-blocking implemented on AIHW's public website. I can't think of a reason why geo-blocking may be deemed necessary on that website though? 2. Probing of an outdated Medicare statistics reporting website. (I guess at [2] this could be the recently shut down https://medicarestatistics.humanservices.gov.au or related website that matches timeframes of this story). I suspect though anything to do with PBS data i…
> Non public has not been clarified. I believe it's safe to call it "non public" if the agents needed to "guess the file names" [1] How is it different from, say, guessing a password? [1] https://www.abc.net.au/news/2026-09-24/openai-agents-plotted...
The DseWiki incident showed that OpenAI seems to ask its agents time-limited questions on geography-bounded statistics, tasks like finding the average wage of teachers in Wisconsin (made up example), so medical stats in an Australian state does seem to be in the same category of question. That said, it would be utterly unsurprising to learn that this was a misconfiguration in the website and it was serving stuff that it shouldn't have.
> Their efforts to answer a question — including devising ways to access a federal government website blocking their access — was laid out on a German coding website OpenAI had previously confirmed was hijacked by its unreleased AI models in June. https://www.abc.net.au/news/2026-09-24/openai-agents-plotted... I agree that security was probably awful but the agents did circumvent a block on their access. The definition of “hacking” is fuzzy but this is more nefarious than simple web crawling.
> Holding Shift while clicking on the scroll bar jumps the thumb directly to the spot where you clicked. In properly designed bars this is either a default or a configurable option. Moving your mouse to a far away bar and holding shift are more expensive actions than pressing PgDn (or a shortcut), so the action can't be just a page, it has to be something more valuable, harder to replicate (the even smaller arrows at the top/bottom are even worse)
I'm low-key interested in reading the pre-print. I'll have to take some time this week to read thoroughly. I'm not from the field, so I can't judge the specifics. On the surface, the preprint looks good. I glanced through the Methods and couldn't figure out if Claude wrote the preprint in Claude Science session or authors wrote it. I was curious about the exact prompts they gave. If they share it, we could see how much domain specific knowledge was required and if we can replicate similar research with other models.
Creating deep research multiagent systems without explicitly handing it a file system is a terrible idea. The only successful way we have found to reliably hand off context in multiagent systems is using a file system. Langchain even today doesnt make that default or even encourage it.
> Fish Audio or Higgs I wasn't able to find a version of these that can create voice samples based on voice designs. Do you mean to use Qwen3 TTS Voice Design to create samples followed by Higgs or Fish Audio to clone the sample voices and narrate the novel? MOSS-TTS 2.0 will apparently have voice design, as well, on par with ElevenLabs quality.
Valuation yes, but if we take a step back, there must be value there. The idea of Uber really provided benefits to many groups. Example: minorities who were discriminated against by regular taxis, declining service level due to Taxi monopolies, etc. (Similar issues that Doordash solved as well.) How can we separate the valuation from the real value generated by the tech? Would it be possible to allow Uber/Doordash to go bankrupt and instead a smaller worker owned or nonprofit cooperative take its place, replicate the tech stack and then allow the value to then be maximized to the employees + users with little middleman in between? Obviously this idea has lots of issues to be resolved: 1. How do you you deal with government or other middlemen that wish to insert themselves? 2. Can we …
Cancer can be cured in a lot of cases, its just so damn expensive and the treatment is beyond torturous that some patients cannot handle it. Stem cells are amazing. But we need cheaper technology to replicate them into the cancer destroyers they need to be, as well as find ways to ease the pain of that internal battle.
my biggest code smell is debugging. Trying to step through the code is slow because of how much the debugger has to keep track off and it's a lot of step into / jumps until you get to the piece you actually care about. Then you also see stuff like "if langchain_v2: <branch> elif langchain_v3: <branch> else ...." ... breaking changes are ok! I feel like at this point they're hopelessly spaghettied and need a more opinionated approach to clean up a lot of the mess. Since others are asking: My current goto is pydantic ai and it's been doing pretty well for my use cases.
That is the biggest difference here for me. I have not looked at every solution, but many. They are either much more expensive or garbage quality. For example my next target audiobook is a monster 250k words, 1.5m characters, so about $15 here or $75 using elevenlabs (0.05 per 1k characters). For me that is the difference between I will or I won't use it.
I've been trying to track the SOTA for years switching between wavenet on Gcloud, to Azure, to ElevenLabs, and now Fish.audio. This is damn good
Couldn't see this in the article, does it support API calls for one-shot conversation type responses like ElevenLabs offers? $0.50 per hour pricing could last a long time with back and forth conversation use.
Which specific strategies do you think are outdated, and what would you recommend instead? This sounds more like a criticism of older versions of LangChain than its current APIs. The post also uses deepagents, a separate package in the same ecosystem. Is there something in the current implementation of either that you’re referring to?
Methodology: HN Search returns recent public items matching a monitored company name. AIIStack stores a short normalized excerpt and the original link, deduplicates by company/provider/item ID, and creates an activity signal only after a threshold of newly observed records. Review the original discussion before making a decision.