peri-cl

If this is the bug-reporting subthread: "Show more comments" stops working after clicking it once.

Some more discussion,

https://news.ycombinator.com/item?id=50317534 ("Enlightenment 0.28 Released with Many Improvements")

They're not really "complex securities"; they're just convertible bonds. The lender gets to choose if they want to be paid back (1) in a fixed note value (like a bond), or (2) with shares of the company (like equity)—if it IPO's. (I.e., the value is the max() of the two. ReLU-shaped).

https://en.wikipedia.org/wiki/Convertible_bond

I don't understand the accounting aspects, and they seemed very weird to me, when I tried to read about was happening with Anthropic. Basically: the rules says the convertible debt has to be valued at the predicted IPO price—because that's the value of the thing (Anthropic stock) Anthropic will be obligated to pay. At the point they re-calculated this debt, the valuation went up drastically, so the rules say that counts as a very large quarterly "loss". But: on the other side of the scale, the increase in predicted IPO price does not count as a quarterly "profit"—even though they should cancel out. Even though the increase in share price exactly cancels the size of the debt they're paying back—the debt denominated as a fixed number of shares.

> "How many companies are building datacenter commons and sharing with other companies to optimize resource usage?"

They're all sharing with each other. Anthropic's S-1, for instance, shows $100 billion+ commitments each to renting datacenter space from AWS, xAI, and Google (two of whom compete with Anthropic on AI). None of theme are idly sitting on unused depreciating hardware for no reason.

I've never heard anyone accuse FAANG's of not trying hard enough to optimize their own resource usage.

I found an additional source of interest (translated from German):

> "An employee appears to be offering Medvedev access to intelligence information" [...] "This recording shows Michael Shurygin, then-head of GCore Russia, apparently discussing plans with former Russian President Dmitry Medvedev in April 2021."

> [...] "The group laughs. Shurygin had made a pun that only works in Russian: “Introduced”—that is, внедрять (vnedryat’)—is ambiguous. It can also be understood to mean “to penetrate” or “to infiltrate.” So they would have infiltrated Luxembourg. Medvedev says, “I hope on behalf of the state.” And they laugh again."

https://correctiv.org/aktuelles/russland-ukraine-2/2023/02/1...

(Who?) https://en.wikipedia.org/wiki/Correctiv

> "Bunny used Gcore in Armenia."

I'm unsure, but I have to ask: isn't this company *Russian* controlled (with Luxembourg and Cyprus shell-company fronts)? Their Wikipedia entry[0] features a controversy involving RT (Russia Today); and a number of their top employees (i.e. Vsevolod Vayner) seem to be from Russian cities; and Moscow was their 2nd cloud location, after Luxembourg[1].

I'm not sure if I've got this right (most of the primary sources are Russian websites that block me and also block Western internet archives; I'm gleaning some things from Google preview caches). But: is it possible the #1 "European sovereign CDN" has been acting as a white-label reseller for Moscow?

Someone kindly fact-check me.

[0] https://en.wikipedia.org/wiki/Gcore#Controversies

[1] https://web.archive.org/web/20260420215140/https://www.strea...

Introducing: HNN (Hacker non-news): a list of web domains *not* currently under apocalyptic AI attack. Shorter and more parsimonious.

- Tell HNN: pets.com was *not* owned today

- Tell HNN: about:blank was safe, too

- Show HNN: my new gopher protocol project—no currently known CVE 10's

The shape of this HN duplicate detector actually works as a GitHub uptime chart:

https://news.ycombinator.com/from?site=githubstatus.com

It's driven by aggregated user complaints, so it's pretty high-quality. Comment counts are a proxy for "how bad was the outage" + "how long was the outage thread topical for".

edit to add: Here's a scatterplot of the same,

https://files.catbox.moe/hhfh4l.png

Topically—the whole reason for the login walls was to fulfill the requirements of their Google/OpenAI data deals. OpenAI wanted to pull up the ladder behind them.

It's a very typical failure mode for publicly-traded companies. For a CEO to have the incentive to do something that will kill their company, in a few quarters' time—in exchange for a one-off windfall that will boost the stock price, CEO compensation, &c. Short-termism at the "eating the golden goose" level.

> [May 2024] "In its IPO prospectus, Reddit revealed that it has contractual agreements to license its data to customers including Google worth a combined over $200 million. And, in its first earnings report as a public company, Reddit reported a 450% year-over-year increase in non-ad revenue, attributable mainly to those agreements."

> "Reddit stock was up 11% in extended trading following the announcement of the OpenAI deal."

https://techcrunch.com/2024/05/16/openai-inks-deal-to-train-...

Anthropic is truly an altruistic company, selflessly working so hard to write free marketing for its competitors.

That one Anthropic blog, "hey check out how amazing GLM-5.3 is, wow", still lives rent-free inside my head. They're like the Gerald Ratners[0] of software marketing.

[0] https://en.wikipedia.org/wiki/Gerald_Ratner#Career

Sure, but reallocating those to their AI competitors would offset those competitors' demand for AI GPU's and HBM RAM. Which frees up the TSMC, Samsung, Micron fabs to shift back to consumer production. Displaced demand.

Sure. I'm still curious about consumer alternatives with small, cheap LLM models controlling things.

These problems don't really need extremely powerful hardware, and extremely large and expensive frontier AI agent swarms. I'm certain a good engineer could get away with a lot less than the OP, working with care under hard budget constraints (i.e., no 50x Sol); optimizing things thoughtfully and deliberately from first principles.

I get a sense, reading OP, reading in between the lines, that: one, those agents really, just, suck at playing Minecraft. And, two: that's not a limitation of "Sol 6.1 is too weak an AI" (hah!); or some hard CS problem of scaling and coordinating agent swarms (though that is a thing); but it's that their harness and tooling setup is bad. You can see all over the logs agents struggling with absolute basics of how to handle their tool calls[0], and how to interact with their world; fundamental basics that could easily be fixed, but weren't.

I think if you're passionate about something related to this, and you want to make a real product (not a one-off slop demo) and are willing to put in your serious-engineer effort into it, you could do way better than this demo, on way smaller hardware. (HN has lost sight of some fundamentals I can't now articulate in words. The AI burnout is clouding our eyes).

[0] e.g.: [B_Wren → B_Theo] "Failure was automatic tool selection with enchanted sword held" [B_Esme · private reasoning] "I could buy shears for 20, but that's pointless since breaking is bugged anyway"

or: [R_Cleo/memory.md] "Died chasing B_Theo off island edge. Use max_distance ~6 when attacking on base... Died AGAIN: attack chase pulled me onto south wool bridge (-40,-10), fell. Use chase=false or max_distance 3."

> "they deserve bankruptcy"

Chapter 7, please! I would like them to *liquidate* Smaug's GPU hoard; and I would like them to do that all at once, in a swift and efficient fire sale.

Wonder if you could glue together deep networks such that there's a big reasoning LLM model, and high-speed small network of a different type, and they share a subset of their activations. High bandwidth vector communication. You train them together.

I think they're doing exactly what you propose? Unless I'm misunderstanding what the Python "fishing scripts" with the timings and timeouts are doing.

https://labs.ycombinator.com/projects/games/index.html#fishi...

I'm pretty sure that's not it. They had 30+ models benchmarked and ready at launch, for a seamless transition. We're talking about the charts that're the hero images on their landing page.

These comparison charts missing two of the most popular models are defective.

(Also, these two happen to be "flash" models, which are among the fastest and cheapest to run benchmarks on. Pennies per task).

This is hilarious and adorable.

> "Ada tossed a cooked chicken to Noor; Esme picked it up by accident and ate it. A three-minute "no blame" inquiry produced a written protocol..."

They're like super-serious little senior engineers. (edit: or dining-philosophers).

About how much KV cache do these kinds of agents use? Could you squeeze 50 of these $game agents onto a small consumer GPU (small LLM)?

Idly imagining a game server of some kind with a bunch of human friends sharing one person's GPU, with a flock of agents colocated on it.

Well, no, because she approached Jeffrey Epstein after his release from serving a prison sentence for child prostitution, and proposed (to him!) that they start up a "porn company" together. There are no "classic" explanations for that specific chapter of her biography.

I don't know what to make of this person's life story; she's certainly an extreme statistical outlier.

Or Cami Clark and her relationships with Jeffrey Epstein, Eric Schmidt, Dario Amodei...

They're not? They are no longer benchmarked, and not available on any of the charts (not even manually).

Their benchmarks have been replaced with "N/A" for several days now,

https://artificialanalysis.ai/models/qwen3-8-flash-next

https://artificialanalysis.ai/models/glm-5-3-flash/

> "Makes me wonder what the next headline is going to be, probably some deal between NVidia and the federal government over export restrictions or something."

Chinese models disappearing from HuggingFace (recently acquired by Nvidia).

GLM-flash and Qwen-next disappeared from ArtificialAnalysis (the top benchmark site) a few days ago; I was wondering if that was a prelude to something greater. Testing the waters.

> "the individual is just following perverse incentives that have been socially normalized over time"

Normalization of deviance,

https://hn.algolia.com/?query=normalization%20deviance&type=...

The data's *always* been safe. /r/DataHoarders would never overlook this.

Nvidia will serve you a free, high-speed half-terabyte download right now[0]. It's one with a cutoff date of 2020—but given that GPT-3 was released mid-2020, that's probably the one you actually want, for ML research.

[0] https://huggingface.co/datasets/ray0rf1re/AO3-2020

Wonder if it's related to the Gitlab crisis (the regexp vulnerability in Ruby that hit them first). Ao3 seems to be a Ruby on Rails app.

They removed Qwen Flash Next and GLM Flash from their benchmarks, as of two days ago. They're not publishing any figures at all for them (they show as "N/A").

https://artificialanalysis.ai/models/qwen3-8-flash-next

https://artificialanalysis.ai/models/glm-5-3-flash/

edit to add: It's very disturbing, because these open models (GLM particularly) were among the best of all LLM's on their benchmarks. On the intelligence/cost frontier, specifically. Archive.org remembers that GLM Flash was in their green quadrant just a few days ago, next to Haiku:

https://web.archive.org/web/20261014031624/https://artificia...

It's completely gone now. AAI (as far as I've seen) haven't publicly commented about why they did this.

If this is authentic, I am a duck.

You'd have to be exceedingly open-minded to imagine a very remote, isolated peoples speaking in a semiotic flavor indistinguishable from your own Bay Area tech geek. Using metaphors like "quantum vacuum" and "mathematically incompatible theories of reality".

The source (a commercial website for a resort hotel, if you click around) doesn't pass the minimal trustworthiness bar, in this era of ubiquitous fake AI writing.

They're in first place by a narrow 59 to 58; so for all we know it could have gone the other way, had they done the benchmarks yesterday. (AAI would have had advance knowledge of this issue, since they would have been given Carbon access in advance. I think this is sus).

I tried to figure out if I could reproduce Carbon's aggregate score using yesterday's (v4.3.2's) benchmark weights—but apparently you can't actually do that, without paying AAI. The raw numbers going into that aggregate aren't available on their public website.

The 256 GB is backordered by 13–15 weeks, if you click through to that.

AAI styles itself as being independent of the companies it's evaluating.

> "Carbon ranks #1 on the recently updated v5.0 of Artificial Analysis Intelligence Index at 59."

Basically everyone[0] thought yesterday's update looked suspect, even before we knew about Carbon.

Did Google coordinate with AAI on any aspect of this in a non-public way? Is this the sort of thing a publicly-traded company would be obliged to disclose, if they were involved in it? AAI isn't a regulated company (private), but the stuff they print influences stock prices.

[0] https://news.ycombinator.com/item?id=50268868 ("Artificial Analysis Intelligence Index v5")