I'm not zdc1, but they may be referring to the previous advice that included more grains than fruit and veg combined. From a design perspective, it is an interesting choice to mix food groups on the same level of the pyramid.
> previous advice that included more grains than fruit and veg combined
I have not seen the pyramid with bread, cereal, rice and pasta at the base pushed for at least ~20 years. Maybe it was 25-30 years ago when I saw it pushed seriously in school and even then I did not see people taking it seriously outside of those lessons, as in people actively calling it questionable.
Ahh. Maybe because I'm AU-based millennial, but the only "food pyramid" I was aware of was the grains-heavy 90s one that I would randomly see here and there, so that was my point of reference.
> A person is most likely to see a food pyramid poster in an elementary or middle school classroom, cafeteria, or hallway, where it was commonly displayed as an educational tool during the 1990s and 2000s to teach nutrition.
the first one was in 1982 or something, so you have nearly 3 whole generations who were exposed to it (X, Millennial, and Z). I really can't tell if you're actually incredulous; because all the nutrition stuff is told to schoolchildren. Adults don't use a chart, they use self-help books.
Yeah, but 2000 was 25 years ago. There's multiple generations who haven't been exposed to it, so this is not replacing the food pyramid, it's replacing what replaced the food pyramid.
only 1 generation has completely escaped the one from "25 years ago" - Alpha; and another generation is incoming; and if the new poster sticks around, a couple of generations will see the new one, too.
you're correct, my eyesight gets worse as the day goes on and i saw the second "9" as an 8. that only partially reduces the impact from my claim of X, Millennial, Zoomer; as i am gen X and i was still in "middle school" when the food pyramid came out, and my millennial sister assuredly was. the older Gen X (from the early 1970s) may or may not remember (as in an only child and childless until after the poster was no longer used) this from their younger years in classrooms.
My main point was (i think!) that really the only people seeing these posters on a regular basis are schoolchildren. I think i've seen the pyramid a dozen times in the last 20 years, on cereal boxes or websites or whatever, but if you don't recognize it, it's easily written off. Maslow also had a pyramid, etc.
I would be interested in knowing what cereal box you saw it on or where you saw it promoted seriously in the last 20 years.
In the late 90s I was in high school in a town with less that 80k people in the middle of the congenital USA and the pyramid with bread, cereal, rice and pasta at the base was not seriously pushed, or taken seriously, at school or when it came up outside of school.
And Wall St has begun punishing AI driven layoffs instead of rewarding them. Not saying they understand the problem space but prediction markets are important signals when trying to understand complex spaces.
pgVector is great and so is FAISS, but those are just a subset of what you get from Milvus. If all you need to do is RAG over 50Mb of documents then pick the right tool for the job. I use Chroma for a lot of projects.
Then, what if you want hybrid search, or different IVF variants, or disk-based search, or horizontal scaling, or something that leverages SIMD, or sparse vectors? Milvus is great.
The repo includes plpgsql_bm25rrf.sql : PL/pgSQL function for hybrid search ( plpgsql_bm25 + pgvector ) with Reciprocal Rank Fusion; and Jupyter notebook examples.
You start by underselling what can be done with Postgres and then follow up with the upper end of requirements that most projects won't need. My argument is exactly what you conveniently left out: The big bulk between the two.
This is a 30B parameter MoE with 3B active parameters and is the successor to their previous 7B omni model. [1]
You can expect this model to have similar performance to the non-omni version. [2]
There aren't many open-weights omni models so I consider this a big deal. I would use this model to replace the keyboard and monitor in an application while doing the heavy lifting with other tech behind the scenes. There is also a reasoning version, which might be a bit amusing in an interactive voice chat if it pronounces the thinking tokens while working through to a final answer.
- 80M Transformer/200M ConvNet audio token to waveform
This is a closed source weight update to their Qwen3-Omni model. They had a previous open weight release Qwen/Qwen3-Omni-30B-A3B-Instruct and a closed version Qwen3-Omni-Flash.
You basically can't use this model right now since none of the open source inference framework have the model fully implemented. It works on transformers but it's extremely slow.
No... that website is not helpful. If you take it at face value, it is claiming that the previous Qwen3-Omni-Flash wasn't open either, but that seems wrong? It is very common for these blog posts to get published before the model weights are uploaded.
Based on things I had read over the past several months, Qwen3-Flash seemed to just be a weird marketing term for the Qwen3-Omni-30B-A3B series, not a different model. If they are not the same, then that is interesting/confusing.
I can't find the weights for this new version anywhere. I checked modelscope and huggingface. It looks like they may have extended the context window to 200K+ tokens but I can't find the actual weights.
> There is also a reasoning version, which might be a bit amusing in an interactive voice chat if it pronounces the thinking tokens while working through to a final answer.
last i checked (months ago) claude used to do this
They had a Flash variant released alongside the original open weight release. It is also mentioned in Section 5 of the paper: https://arxiv.org/pdf/2509.17765
For the evals it's probably just trained on a lot of the benchmark adjacent datasets compared to the 235B model. Similar thing happened on other model today: https://x.com/NousResearch/status/1998536543565127968 (a 30B model trained specifically to do well in maths get near SOTA scores)
The link[1] at the top of their article to HuggingFace goes to some models named Qwen3-Omni-30B-A3B that were last updated in September. None of them have "Flash" in the name.
The benchmark table shows this Flash model beating their Qwen3-235B-A22B. I dont see how that is possible if it is a 30B-A3B model.
I don't see a mention of a parameter count anywhere in the article. Do you? This may not be an open weights model.
I was wrong. I confused this with their open model. Looking at it more closely, it is likely an omni version of Qwen3-235B-A22B. I wonder why they benchmarked it against Qwen2.5-Omni-7B instead of Qwen3-Omni-30B-A3B.
I love lightweight distros. QNX had a "free as in beer" distro that fit on a floppy, with Xwindows and modem drivers. After years of wrangling with Slackware CDs, it was pretty wild to boot into a fully functional system from a floppy.
Licensing, and QNX missed a consumer launch window by around 17 years.
Some businesses stick with markets they know, as non-retail customer revenue is less volatile. If you enter the consumer markets, there are always 30k irrational competitors (likely with 1000X the capital) that will go bankrupt trying to undercut the market.
It is a decision all CEO must make eventually. Best of luck =3
"The Rules for Rulers: How All Leaders Stay in Power"
This also underscores my explanation for the “worse is better” phenomenon: worse is free.
Stuff that is better designed and implemented usually costs money and comes with more restrictive licenses. It’s written by serious professionals later in their careers working full time on the project, and these are people who need to earn a living. Their employers also have to win them in a competitive market for talent. So the result is not and cannot be free (as in beer).
But free stuff spreads faster. It’s low friction. People adopt it because of license concerns, cost, avoiding lock in, etc., and so it wins long term.
Yes I’m kinda dissing the whole free Unix thing here. Unix is actually a minimal lowest common denominator OS with a lot of serious warts that we barely even see anymore because it’s so ubiquitous. We’ve stopped even imagining anything else. There were whole directions in systems research that were abandoned, though aspects live on usually in languages and runtimes like Java, Go, WASM, and the CLR.
Also note that the inverse is not true. I’m not saying that paid is always better. What I’m saying is they worse is free, better was usually paid, but some crap was also paid. But very little better stuff was free.
There is also the option by well written professional wherer the startergy is to grab as much market share as they can by allowing the proliferation of their product to lockup market/mindshare and rleaget the $ enforcement for later - successfully used by MSWindows for the longest time and Photoshop .
Conversly i remenber Maya or Autodesk used to have a bounty program for whoever would turn in people using unlicensed/cracked versions of their product.Meanwhile Blender (from a commercial past) kept their free nature and have connsistently grown in popularity and quality without any such overtures.
Of course nowadays with Saas everything get segmented into wierd verticals and revenue upsells are across the board with the first hit usually also being free.
As a business, dealing with Microsoft and Oracle is not a clean transactional sale.
They turned into legal-service-firms along the way, and stopped real software development/risk at some point in 2004.
These firms have been selling the same product for decades. Yet once they get their hooks into a business, few survive the incurred variable costs of the 3000lb mosquito. =3
And incredibly responsive compared to the operatings systems of even today. Imagine that: 30 years of progress to end up behind where we were. Human input should always run at the highest priority in the system, not the lowest.
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