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neilellis

908 karma · joined February 1, 2012

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neilellis··on Web Search API
So they ban us from scraping sites but they can do it themselves, this stinks. How did we let them become the internets gate keeper.
neilellis··on Kids turned low-traffic NPR Spotify comments into a secret group chat
The Onion isn't satire it's just a dystopian Cassandara.
neilellis··on Kids turned low-traffic NPR Spotify comments into a secret group chat
Well now all the agents will have this in their training data, so expect them to come calling in the future :-) :-)
neilellis··on Kids turned low-traffic NPR Spotify comments into a secret group chat
Peak HN comment :-)
neilellis··on Dynamic Abliteration: Non-Destructive Refusal Suppression via Engram Steering
Easy for you to say.
neilellis··on Stripe's Knowledge AI Platform
I like it, very smart for agents at scale.
neilellis··on Claude Opus 5.5
'frontier models' - seriously, it was you and only you!
neilellis··on Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash
Good luck with this model/product, in the excitement of LLMs people seem to forget applicability. I very much like to see innovation in this space, so well done!
neilellis··on Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash
Also FYI doesn't run inference on Apple GPU (only for training)
neilellis··on Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash
I tried this today for labelling - and for that task it was very bad MNLI was better - so you are going to need to match the use case for this pretty exactly. (at 29MB params one would expect that!) I'm obviously not saying labelling is a good use case :-) just adding a data point.

Jev has put the cat amongst the pigeons so suddenly everyone is looking at classifiers and encoder only models again.

My ideal model would be a general purpose LLM API that can answer classification questions and as it does so distils to an encoder only model so that the more classifications I do the cheaper it gets (i.e. the more it offloads to the classifier). If anyone ever wants to do this as a service do let me know, because it's just another piece of code to manage in each new project that needs classification.

Also a model that could do this internally would be nice :-)

neilellis··on Show HN: Scry, programmable internet search w/ congestion pricing
Please have a 'readable version' option so I don't have to exhaust myself parsing the sites layout. I get that it's unique but most of us just want to work out what you're offering in 5-10 seconds of our time.
neilellis··on BeanShell3 in Development
OMG blast from the past!
neilellis··on OpenJev
Correct me if I'm wrong but Jev itself works pretty much the same as encoder only models.
neilellis··on Show HN: Pelican-bicycle alternatives (updated for 2026)
Well that benchmark is now saturated, what next. How fast you can hack the pentagon?
neilellis··on OpenAI Agents API
There are no shortage of good harnesses out there, and you can re-use coding ones like pi, opencode, dsh even claude and codex. For most use-cases that is already the loop you need. If you're looking for something less like a coding agent then Vercel's Eve is okay too.
neilellis··on OpenAI Agents API
Why on earth would we want such a lock-in at this stage when there is no clear winner. This is an area in which I would encourage everyone to build their own (using OSS) on top of existing cloud infrastructure.
neilellis··on Claude, change the "Add to Cart" button to blue
Congratulations!!! You win what’s left of the internet - just ask Claude for your prize! Motrin I’ve had this week.

I use codex now.

neilellis··on Astronomers Detect a 10-Sided Structure in Saturn's Atmosphere
Aliens playing D&D
neilellis··on Evidence of Fraud in an Influential Study About Procrastination
I'll get around to reading this at some point.
neilellis··on Student teacher arrested for private Snapchat message
Dystopic
neilellis··on Show HN: I simulated closing the Strait of Hormuz on real oil trade data
You guys still having elections?
neilellis··on Only 16 Percent of Americans Think AI Will Have a Positive Impact on Society
Also relevant: Ten Percent Of U.S. High School Students Graduating Without Basic Object Permanence Skills - https://www.youtube.com/watch?v=ssjokgx0pUQ
neilellis··on ARC-AGI-3
Unless it’s already happened and we missed it
neilellis··on U.S. Troops Were Told Iran War Is for "Armageddon,"
Caught in a landslide, no escape from reality
neilellis··on I’m joining OpenAI
When I hear people talking about how insecure OpenClaw is, I remember how insecure the internet was in the early days. Sometimes it's about doing the right thing badly and fix the bad things after.

Big Tech can't release software this dangerous and then figure out how to make it secure. For them it would be an absolute disaster and could ruin them.

What OpenClaw did was show us the future, give us a taste of what it would be like and had the balls to do it badly.

Technology is often pushed forwards by ostensively bad ideas (like telnet) that carve a path through the jungle and let other people create roads after.

I don't get the hate towards OpenClaw, if it was a consumer product I would, but for hackers to play around to see what is possible it's an amazing (and ridiculously simple) idea. Much like http was.

If you connected to your bank account via telnet in the 1980s or plain http in the 90s or stored your secrets in 'crypt' well, you deserved what you got ;-) But that's how many great things get started, badly, we see the flaws fix them and we get the safe version.

And that I guess is what he'll get to do now.

* OpenClaw is a straw man for AGI *

neilellis··on Zvec: A lightweight, fast, in-process vector database
Yes, also for semantic indexes, I use one for person/role/org matches. So that CEO == chief executive ~= managing director good when you have grey data and multiple look up data sources that use different terms.
neilellis··on Zvec: A lightweight, fast, in-process vector database
That I would like to see too, usearch is amazingly fast, 44m embeddings in < 100ms
neilellis··on Gemini 3 Deep Think
It's ahead in raw power but not in function. Like it's got the worlds fast engine but one gear! Trouble is some benchmarks only measure horse power.
neilellis··on Gemini 3 Deep Think
Less than a year to destroy Arc-AGI-2 - wow.
neilellis··on I started programming when I was 7. I'm 50 now and the thing I loved has changed
So not disagreeing as you say, it is a personal thing!

I honestly find coding with AI no easier than coding directly, it certainly does not feel like AI is doing my work for me. If it was I wouldn't have anything to do, in reality I spend my time thinking about much higher level abstractions, but of course this is a very personal thing too.

I myself have never thought of code as being my output, I've always enjoyed solving problems, and solutions have always been my output. It's just that before I had to write the code for the solutions. Now I solve the problems and the AI makes it into code.

I think that this probably the dividing line, some people enjoy working with tools (code, unix commands, editors), some people enjoy just solving the problems. Both of course are perfectly valid, but they do create a divide when looking at AI.

Of course when AI starts solving all problems, I will have a very different feeling :-)

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