newfocogi

Or this:

“None of these things are impossible with Redis, it’s just that memcached’s architecture in general more leans towards these directions, which makes it much, much more straightforward from an operations point of view.”

I don’t think LLMs would write this:

“Anyways, Redis homepage aside, you deploy it, and off you go - your trusty cache. You hand the connection string to the people who asked for it, and off you go.”

"Former Yahoo CEO Marissa Meyer is closing the doors on her consumer software startup Sunshine, and is selling the company’s assets to her new AI startup, Dazzle" and "all of Sunshine’s employees will move to the new company".

Under what conditions is it better to buy the assets and hire the employees instead of just change the name and product offering of the company? Is it just to get the investors off the cap table?

Non-AI Summary:

Both models have improved intelligence on Artificial Analysis index with lower end-to-end response time. Also 24% to 50% improved output token efficiency (resulting in lower cost).

Gemini 2.5 Flash-Lite improvements include better instruction following, reduced verbosity, stronger multimodal & translation capabilities. Gemini 2.5 Flash improvements include better agentic tool use and more token-efficient reasoning.

Model strings: gemini-2.5-flash-lite-preview-09-2025 and gemini-2.5-flash-preview-09-2025

Maybe we're not sure if they're being rational or rationalizing.

For others who, like me, didn't know what "clankers" are: it appears it's a popular derogatory term for robots or AI, arising from the Star Wars universe where clone troopers used the term as a derogatory term for droids.

I track my water usage and electricity usage every month. I'm confused why the cost ratio is off by an order of magnitude from the author. The base monthly charge of my water bill ignoring any usage is more then 10% of my largest electricity bill (so maybe that's the answer right there).

I found a lot of value in this article. Out of frustration with people who are alarmist over how much water a datacenter "consumes" compared to households, I've probably erred too often towards:

'People sometimes invoke the idea that water moves through a cycle and never really gets destroyed, in order to suggest that we don’t need to be concerned at all about water use. But while water may not get destroyed, it can get “used up” in the sense that it becomes infeasible or uneconomic to access it.'

Side note, this personal anecdote from the author caught me off guard: "my monthly water bill is roughly 5% of the cost of my monthly electricity bill". I'm in the American southwest (but not arid desert like parts of Arizona/Nevada/Utah), and my monthly water cost averages out annually to ~60% of the cost of electricity. Makes me wonder if my water prices are high, if my electricity prices are low, if my water usage is high or my electricity usage is low.

I made it half way down the page before I realized this wasn’t “ArduinOS”.

I can’t be the only one.

My (non-AI) Summary:

- "TAR-200 is a miniature, pretzel-shaped drug-device duo containing a chemotherapy drug, gemcitabine, which is inserted into the bladder through a catheter. Once inside the bladder, the TAR-200 slowly and consistently releases the gemcitabine into the organ for three weeks per treatment cycle."

- Phase 2 Clinical Trial

- 85 patients with high-risk non-muscle-invasive bladder cancer

- "treated patients with TAR-200 every three weeks for six months, and then four times a year for the next two years"

- 70/85 patients—the cancer disappeared and still gone 1yr later in almost 50% patients

- FDA granted TAR-200 a New Drug Application Priority Review

- Johnson & Johnson manufactures TAR-200

I love checking out the Starlink launches wikipedia page every so often [1], which is regularly updated. Here's stats as of today:

"As of 31 July 2025:

Satellites launched: 9,314

Satellites failed or deorbited: 1,237

Satellites in orbit: 8,096

Satellites working: 8,077

Satellites operational: 7,040"

1. https://en.wikipedia.org/wiki/List_of_Starlink_and_Starshiel...

Once again, I am quite surprised by the sudden uptick of AI content on HN coming out of LANL. Does anyone know if its just getting posted to HN and staying on the first page suddenly, or is this a change in strategy for the lab? Even so, I don't see the other NatLabs showing up like this.

Naming things is hard. Noting the two alternative approaches that you referenced are called "vecmap" and "alignment" which "aren't the first/only algorithm for ... and you have no right to claim such a general title" could easily apply there as well.

Another recent AI article out of LANL: https://www.lanl.gov/media/publications/1663/1269-earl-lawre...

And discussed on HN: https://news.ycombinator.com/item?id=43765207

This does feel like a step change in the rate at which modern AI technologies and programs are being pushed out in their PR.

Another happy CharityVest user here. I recommend it to everyone I talk to when DAFs are remotely relevant to the conversation.

They offer serverless Postgres. Here's a link if anyone else needs it https://neon.tech/

This is right on. I work for a company with somewhat of a data moat and AI aspirations. We spend a lot of time blocking everyone's bots except for Google. We have people whose entire job is it to make it faster for Google to access our data. We exist because Google accesses our data. We can't not let them have it.

I recognize this is a somewhat rhetorical question and your point is well taken. But something that maps well is car makes and models:

- Is Ford Better than Chevy? (Comparison across providers) It depends on what you value, but I guarantee there's tribes that are sure there's only one answer.

- Is the 6th gen 2025 4Runner better than 5th gen 2024 4Runner? (Comparison of same model across new releases) It depends on what you value. It is a clear iteration on the technology, but there will probably be more plastic parts that will annoy you as well.

- Is the 2025 BMW M3 base model better than the 2022 M3 Competition (Comparing across years and trims)? Starts to depend even more on what you value.

Providers need to delineate between releases, and years, models, and trims help do this. There are companies that will try to eschew this and go the Tesla route without models years, but still can't get away from it entirely. To a certain person, every character in "2025 M3 Competition xDrive Sedan" matters immensely, to another person its just gibberish.

But a pure ranking isn't the point.

I'm close with someone who is on the Digital side of McKinsey, and they said they attended some meeting where a partner was asked what he was excited about for the future, and he said something like "the opportunities from AI agents replacing software developers". The audience was a room full of McKinsey's software devs.

Gen X spent their youth rejecting their parents’ world—only to watch it vanish and get replaced by something even emptier.

"Redheads get less pain relief" - are there any references you have so I can explore this more?

ChatGPT can search the web (I just checked in my account). It appears to be available for all users (not just paid): https://help.openai.com/en/articles/9237897-chatgpt-search

Wait, where is the energy beyond the electricity coming from? Is it drawing heat from the environment, hence the references to heat pumps?

Does anyone have a good source of data or reporting on the usage statistics of Stack Overflow since the release of ChatGPT?

Job postings for working on Gemma are under DeepMind in London: https://boards.greenhouse.io/deepmind/jobs/6590957

They say: "releasing the API mistral-ocr-latest at 1000 pages / $"

I had to reread that a few times. I assume this means 1000pg/$1 but I'm still not sure about it.

I think this is the correct take. There are other axes to scale on AND I expect we'll see smaller and smaller models approach this level of pre-trained performance. But I believe massive pre-training gains have hit clearly diminished returns (until I see evidence otherwise).

That was wild

My guess is it's related to yield and/or large die sizes making them more susceptible to defects. I expect architectural changes in the Blackwell series matter more than performance improvements from process node.

Now I'm curious. What kind of team are you running that they are receiving Steam Decks? Was this a reward or is your teams work related to it?