skysight-inc/HackerNews huggingface dataset:
I can't wait to be told this is entirely political and a halt on $3 trillion of grants, many of which go to university research programs and (open source) nonprofits isn't "technical news" and won't prompt "valuable discussion". I'm sure a sudden double digit plummet in the entire spending of the US government won't have any affect on our lives or careers.

And that's not even getting into that this is, by an ocean, the largest case of illegal executive impounding this nation has ever seen, with downright insane, Orwellian language used as justification and very little actual clarification as to what it actually means. For instance, are Pell grants included? They're for individuals but dispersed by universities. Medicare is safeguarded, but Medicaid?

Just fantastic. Slide and slide.
I get the impression that China wouldn't mind picking up the bill if the US stopped patrolling shipping lanes.
"The mountain was named Mount McKinley until 2015, when President Barack Obama's administration changed it to Denali as a symbolic gesture to Alaska Natives."

In Google Maps, one can successfully search using the query string "Mt McKinley" but the destination is labeled "Denali".
For about a month now I've been paying $20-$30/day to delegate the bulk of my coding to Sonnet.
The agentic loop thats trained into it is just simply not matched by another other model.

I can't admit to myself there's any open question as to if there is any long-term value.

I expect within 2 years, this will seem like a non-controversial idea, and it won't bring in a ton of assumptions about the speaker.

I have invested much time and effort making sure local models are a peer to remote ones in my app, and none, including DeepSeek's local models, are remotely close to the things needed to make that flow work.

EDIT: Reply-throttled, so answering replies here:

- The machine is building the machine: Telosnex, a cross-platform Flutter app

- it can do 90% of the scope, especially after I wrote precanned instructions for doing e.g. property-based testing.

- Things it's done mostly wholesale:
-- secure iframe environment, on all 6 platforms, to: execute JS in, or render react components it wrote.
-- completely refactoring my llama.cpp inference to use non-deprecated APIs.

- Codebase is about 40K real lines of code. (I have to think this helps a lot I doubt that ex. from scratch it would be able to build a Flutter app that used llama.cpp.)

- $30/day!?! -- Yeah, it's crazy, its up an order of magnitude from my most busy days when I just copy-pasted back and forth. It reads as much code as it wants, and you're doing more work literally, so it adds up.

- $20/day is realistic average

- Lines added per day +55%, lines deleted per day +29%, files changed per day 9 -> 21 https://x.com/jpohhhh/status/1881453489852948561
Making LLM workflows human friendly
LLMs = Latency? That's how most of us perceive it. When examining the timing breakdown of a request on Claude, you'll notice that the majority of the time is spent in Content Download—essentially, decoding output tokens.

In the blog, I discuss how partial json validation can help in workflow driven LLM products.

Would love feedback on how I can improve, thanks!
I wish this whole internet fad would just die already!
It certainly lets untrained people create stuff they probably should not
With the crowdstrike outage earlier last year it was incredible how many hidden security and kernel "experts" came out crawling from the woodwork, questioning why anything needs to run in the kernel and predicting the company's demise.
It's a very good question. We used to hear that subsidies resulted in lazy inefficient companies that couldn't compete in global markets. How did they become a cheat code for success?
What tools are you using to delegate?
We don't know for example what a larger model can do with the new techniques DeepSeek is using for improving/refining it. It's possible the new models on their [own] failed to show progress but a combination of techniques will enable that barrier to be crossed.

We also don't know what the next discovery/breakthrough will be like. The reward for getting smarter AI is still huge and so the investment will likely remain huge for some time. If anything DeepSeek is showing us that there is still progress to be made.
I apologize if this is more of a response to the headline than the article content, but how does Slack, a professionally-oriented messaging app, not have syntax highlighting features for their markdown while Discord— a casual, gamer-oriented messaging app– does?
A similar question, is there something cli-composable? Something like:

$ codellm -root /path/to/root -prompt - -connect $addr
<input>^D
<output>

Then it would be trivial to adapt to anything, e.g. as :'<,'>!codellm<CR>

Man all these wrappers and proxies that do the same thing again and again only to bury the essence.
I have to same issues with Fitbit. I'm thinking about switching soon when this one dies. Wondering whether Pebble would be for good for sleep tracking? Don't care about fancy exercise tracking, just steps, heart and sleep.
I had to set the player hp to 1 million so I could just click the dragon and set myself free.
Same moat as any non-AI startup? What do you consider an AI startup?
The strategic move by China to release a free, open, DeepSeek model that’s way cheaper to train and use, and that resulted in a $1 trillion market loss on the news, has a clear objective to destroy the US AI companies that had leapt ahead of China in commercial offerings.
The thing with a gold rush is you often end up selling shovels after the gold has run out, but no one knows that until hindsight. There will probably be a couple scares that the gold has run out first to. And again the difference is only visible in hindsight.
Local pipelines are great and all for now but there’s practically no way those will be able to keep up with server based models long-term. If those are useful for you today, that’s great.
> We’ve just learned that it’s possible to do AI on less compute (deepseek).

There's a huge motte and bailey thing with DeepSeek conversation, where the bailey is "It only took $5.5 million!*" (* for exactly one training run for one of several models, at dirt-cheap per-hour spot prices for H100s) and the motte is all sorts of stuff.

Truth is one run for one model took 2048 GPUs fulltime for 2 months, and my experience with FAANG ML, that means it took 6 months part-time and another 1.5-2.5 runs went absolutely nowhere.
Also, Fortran has progressed immensely since F77 days. (I actually wrote some F77 code back in the day, when it was already ancient.) C has also progressed quite a bit since K&R days, but, to my mind, not nearly as much.
Back when the life expectancy at birth was forty you mean? And the system has expanded greatly since then. Handouts for almost everyone except normal workers who pay the highest taxes on labour in the world after Belgium. And yes the system has stopped working now the population has stopped growing. Germany as an antiquated boomerocracy is unrivalled as far as I am aware.
Violence is an effective strategy. One of many. It's not stable but it has been used successfully in human history. The thing is you can't have a society that's constantly violent all the time forever and ever. Those tend to self select via natural selection.

You can have societies be temporarily violent like how Americans slaughtered and killed Native Americans and took over the continent. The formation of the USA comes from this type of effective violence. Who would be the alphas in this case? the native americans? Or the ones that invaded? I know I'm a bit on the nose here, but this is just reality.
Nothing except the Pioneer (and now this and the Milk-v P550) has L3 cache.

BPI-F3 (etc) has only 512 MB of L2 cache for each cluster of 4 cores, vs 2 MB on the VisionFive 2 (etc), and I think this is the biggest issue. Similarly the TH1520 only has 1 MB of L2.

The Pioneer has the same 1 MB of L2 per four cores, but backs this up with 4 MB of L3, and when you're running single-threaded (or just a few) that CPU also has access to the other 60 MB of L3 cache on the chip at still much better than DRAM latency and bandwidth. It's very nice-perofrming machine if you can afford it -- though the P550 should make a better desktop machine. I'll know in a week or two when my Megrez arrives...
The question to ask yourself then is: why is it that the behaviour that brings you pleasure/meaning/satisfaction happens to align exactly with what the company wants?

I spent most of my career with a similar attitude to yours, and TBH it's still my default. The question I find myself asking more and more is: can I maintain/increase my level of satisfaction while giving less of myself to a company that simply doesn't care?
Does anyone know how Deepseek does it yet?
Nah.... AI made them obsolete.

! Pun Mode On !
This has been a thing in dotnet tool for years, now.
Whatever massive nerd spent their 10% time doing this: thank you. This is a bit of light in the cynical pit of lost proprietary code.
Aren't there already a ton of startups doing finetunes for their local niche? Many aren't even "AI" companies - it's pretty easy to slap a finetune together if you enough data.

If you mean developing a model from scratch just for your niche - the bitter lesson is that scale is everything and that a finetune from an internet-scale model will outperform you easily.
> When running in a workspace the bazel daemon persists. Inside my workspace the bazelisk --help invocation needs just 30ms real time.

It still has a slow startup time, bazel just works around that by using a persistent daemon, so that it is relatively fast after as long as the daemon is running.
Jevon's paradox ony applies under certain conditions. It remains to be seen if it will hold in this case.
is there no end to the cynicism?
I backed the first Pebble on Kickstarter. I didn't like its industrial design but voted with my wallet for the _idea_ behind it. I had high hopes for subsequent iterations but IMO it never evolved into a sufficiently beautiful industrial design. From the same era, Vector was better-looking with similar screen tech, but never captured meaningful mind-share or market-share.

I'd love to have a small watch with long battery life, reflective always-on hi-dpi grayscale screen, and classic industrial design using a metal case and small bezels. For now I'm (reluctantly) making do with a Withings ScanWatch Light.
Have you actually read the article? He does give a citation to the same author who initially coined the term alpha wolf.

And redefining alpha to just mean leader is a redefinition, as written in the article the term originates from the alpha wolf who achieved dominance through overtly aggressive behaviour (which does not match with how wolves behave in the wild).

It's ironic that you bring up CEOs etc as proof that there's alphas, when the whole premise of the article is that recent structuring of human society is based on an this wrong view that the aggressive dominance is "natural" and what is required for leaders
My own app, it's called Telosnex.

Unfortunately, the current available version doesn't have the agent stuff yet.

Hopefully in a week, realistically two.

I had the existing client app I've released-but-not-released-out-loud. Couple days before Christmas, for fun, I spent a couple hours wiring up the Anthropic Model Context Protocol filesystem server example. Within an hour it was clear this was special and I needed to get it out ASAP. Stunning stuff in action.
You're trying to tie two unrelated things together.

We know competition is good for consumers. But overregulation is also bad for consumers.
The other way is certainly also true. Your short piece is rational, but lacks insight into the inference and training dynamics of ML adoption unconstrained.

The rate of ML progress is spectacularly compute constrained today. Every step in today’s scaling program is setup to de-risked the next scale up, because the opportunity cost of compute is so high. If the opportunity cost of compute is not so high, you can skip the 1B to 8B scale ups and grid search data mixes and hyperparameters.

The market/concentration risk premium drove most of the volatility today. If it was truly value driven, then this should have happened 6 months ago when DeepSeek released V2 that had the vast majority of cost optimizations.

Cloud data center CapEx is backstopped by their growth outlook driven by the technology, not by GPU manufacturers. Dollars will shift just as quickly (like how Meta literally teared down a half built data center in 2023 to restart it to meet new designs).
Maybe Vance will rename My McKinley for him after an anarchist shoots him. He should steer clear of Buffalo I guess.
That's quite an elaborate way to say "I thought a little bit about an awful lot of things"

TLDR: Because ChatGPT is not intelligent enough to be a threat and we don't yet now exactly what intelligence is, AI will never become a threat.
He even mixes up data volume with intelligence at some point and lacks the imagination to see how software could kill humans.

My opinion:
Doomers think someone could eventually figure out how to build AGI that could improve its own abilities which would lead to singularity and that could lead to bad things for humans.
Nobody who has basic knowledge about AI thinks ChatGPT, even in version 7 will start killing people. That's no proof that something more capable can't be built.
But every successful SV founder and or VC is not only a tech genius but also a geopolitical and socioeconomic expert! That’s why they make war companies, cozy up to politicians, and talk about how woke is ruining the world. /s
Right and those "server based models" can be deployed by me or my team, on clusters we own.
What sort of coding? Are you maintaining any large projects?
with a referral link or no?
I understand some economists theorize that small steady inflation is necessary for a healthy economy. If that’s true, Congress shouldn’t be contravening it for their own sake against the greater good of everyone else in the country.
Anyway, like sibling commenter says, their other sources of income probably dwarf government pay.
There are people who are willing to say that deepseek has such a great team -- so great, in fact -- that they could still always crush competition absolutely all the time, despite having open source their models to some extent, if not all.

I am actually interested to see those who hold this view explain their logic here further. It's quite an interesting, if unorthodox take because we would think that algorithmic brilliance is not a moat, even when the code is not open source.
I think someone who works on Chrome did something a few years ago - though I can't remember exactly what they were trying to figure out.
Brazil performs dependency resolution in a language-agnostic way.

https://gist.github.com/terabyte/15a2d3d407285b8b5a0a7964dd6...
What do the others train on?
2 short taps on the top button on Garmin Venu Sq 2 when swimming is the default activity. It counts laps automatically.
It can be setup to display 2—4 statistics during the swim.
Now if someone could explain what the other thing is that appears for a few seconds when changing direction at the wall in the pool is, and how to disable it, that would be useful. Two counters, one in large font and below one in small font. Typically they start at, or are, 0.
ON Platform startup founder and wife arrested for alleged fraud
Hey Joel, it’s cool to see you on here. I saw your post on LinkedIn as well. We used to work together a couple of years ago for a short period of time. I honestly don’t know how to help but I’ll share the post, especially since I know a bunch of people impacted by the fires.
hard disagree. the amount of snobbiness and rude closing of threads as power trips was unbearable. I'm glad LLMs learned off them and we are where we are now
$20 to $30 a day? How?? I have been using Sonnet every day for a month and have spent a total of... $7 on OpenRouter (7/30 = 0.23 a day on average).

Granted, I ask it very specific questions that generate short answers (many of which are incorrect, btw), but still, it's difficult to imagine what kind of tasks, done by a single person, would generate such amounts?
Oof. That stinks.
giving you another confirmation, mate. zuck removed my post about qubeos.
Thank you! Do you mind if I "friend" you on LinkedIn?

I don't use LinkedIn all that much, I'd just like us to be friends in some way.
Latest word from The Leader:

"Even as some U.S. tech stocks plunged on Monday after it appeared that DeepSeek could produce similar results as rival models with a system that was cheaper to build, Trump projected confidence, calling it “very much a positive development.” He reasoned that American companies would be able to adapt and evolve based on DeepSeek’s demonstration that effective systems can be developed more easily than some assumed."
Also on HN:

Google says it will change Gulf of Mexico to 'Gulf of America' in Maps

4 hours ago | 34 comments | https://news.ycombinator.com/item?id=42847758
They went from uncertain to low certainty. It's hard to imagine a smaller shift in position than that, and thus the dog-pile. You're trying to drag me into some other debate entirely.
I'm out here waiting for model compute costs to drop so I can run model ensembles and immediately improve accuracy.
New America it is.
That seems like big standard organizational dysfunction.
I tend to think that is more Rust community using Python, and RIIR stuff, than Python community themselves.

I know Python since version 1.6, and this has never been a thing until Rust.

Same applies to the RIIR going on JavaScript side.

Including tools that were already written in compiled languages, but of course weren't Rust, or had an idea to make a startup around them.
It's not at all false IME, though I'm not in SV or the US. Most job want up-front references from at least 2 people, one of whom must be your current supervisor/boss (or someone else higher in the chain of command). You can occasionally get away without it, but it's difficult.
(Summary from Reddit)

- fp8 instead of fp32 precision training = 75% less memory

- multi-token prediction to vastly speed up token output

- Mixture of Experts (MoE) so that inference only uses parts of the model not the - entire model (~37B active at a time, not the entire 671B), increases efficiency

- PTX (basically low-level assembly code) hacking in old Nvidia GPUs to pump out as much performance from their old H800 GPUs as possible

Then, the big innovation of R1 and R1-Zero was finding a way to utilize reinforcement learning within their LLM training.
This is really fun.
Why not use matrix instead?
It is better to be less cynical than your average redditor or HN denizen, but not entirely uncynical.
I am not buying the oft-quoted statistics in HR/Recruiting which like most popular adages is mostly made up from a few anecdotes and widely disseminated which people then accept because "everybody says so". The key is to hook in the reader from the summary/qualifications on the first page.

The "tell me about yourself" question is one of the worst to ask and i never do this. It is so open ended that people start rambling. Instead get them to focus (this also calms their nerves) by asking about notable jobs picked from their resume "what did you do as ... at ..." and dig more as needed. Do this for a couple more jobs if available and you will get to see how confident the candidate is, how he communicates, the depth of his knowledge and his modes of thinking. From here, you generalize to what the job actually needs and give the candidate some idea of the job and its environment and ask how he hopes to fit in and contribute. This makes things clear to both interviewer and interviewee.

I also do not place much weight on personality/psychology tests/questions. People generally cannot be truthful in their answers to questions like "how do you deal with conflict with your co-worker?" etc. Here i trust to "gut feeling" based on non-verbal impressions, verbal communication and pointed questions (challenge the candidate by taking a contrarian stance and see how he responds).

Finally, i make sure that the interviewee at the very outset understands that though i am the interviewer it does not mean that i am more knowledgeable than him in his areas of expertise. This works great by boosting his confidence which then leads to a more natural interaction.

Recruiting/HR is a complex art where you have to consider various factors to build a picture of a person (suited to a role) from factual data and psychology. IMO a good way is to start with an understanding of Self-Determination Theory of Edward Deci and Richard Ryan - https://en.wikipedia.org/wiki/Self-determination_theory For a nice overview, see the book Why we do What we do: Understanding Self-Motivation by Edward Deci.
Mc Donald's still doesn't call them Freedom Fries. I suppose that's the left's fault, not because that was a stupid idea. What is it about Trump that makes us forget what stupid is?
-- to East Arizona!
I have find that those workarounds are as rewarding as just closing the game.
Yes, I'm aware of that. Doesn't change the fact that inflation is still high.

But the real issue is, the "oficial" dollar rate is controlled by Central Bank, and it won't be for long. When, as he promised, he let the peso float totally free, we'll really know even if the inflation can continue at 30% yearly.

Let alone, together with this, the growth of this year, that will likely pressure the inflation. They managed to reduce the inflation to 2.7% monthly, while the country was in a 3% GDP recession.
Can’t edit and this should be obvious, but: I meant to say you CANNOT use the memory allocator in an interrupt handlers through. It takes a lock.
> Why are these only 1.4ghz frequency, when raspberry pi gets to 2.4ghz?

Milk-V Megrez is shipping the same SoC running at 1.8 GHz.

Intel's Horse Creek chip with the same cores ran at 2.4 GHz, but Intel is in trouble and cancelled non-core activities. A working board was shown at Hot Chips 23.

Clock speed depends on the SoC integrator at least as much as the core designer, and the process node it is made on. And the packaging thermal envelope.

> Or does the architecture not really support faster chips?

Of course not. From as technical point of view it's essentially identical to Arm64, and with the same financial investment and comparable engineers will run at the same speed.

The P550 is a very early RISC-V design, announced in June 2021, just a few months after the RVA22 spec it implements was published. Three to four years to go from core to SBC is normal in the industry, including for Arm's A53, A72, A76.

SiFive has designed and shipped two or three major generations of more advanced cores since then, in the P670, P870, and P870-D.
Thanks! I don’t think I’ll ever go back from my Apple Watch, but pebble does still hold a soft spot in my heart.
Yeah this was my first thought as well. If it got so efficient how good all the models will be 2-3 months from now
We truly are living in the stupidest timeline...
?

https://crossvine.nyc3.cdn.digitaloceanspaces.com/20250128_0...

But I'd have to try actually swimming with it I guess. It always counts my reps in strength training pretty accurately.

Edit: But then again, if you want to manually track laps, the swimming app doesn't matter. It's only there for the convenience of not having to press a button to increment the counter. You can just copy the "other" activity, name it something like "manual swim" with the lap button enabled. The only thing that differentiates the swim activity from a regular activity is setting the pool length, stroke detection, and automatic lap incrementing. The data is still getting logged the same way as far as I can tell, so using the "other" activity would give you all the data you need to track the swim.
I might not be the best possible version of myself but I am at least a release candidate, and therefore have transceded the concepts of „alpha male“ and „beta male“.