MurphyA/hacker-news huggingface dataset:
by MaxNardit | 2026-02-26 13:20:39+00:00
Good observation. Agent Recall doesn't do semantic search at all — deliberately.

Instead of query → rank → top-k, it loads all entities/slots/observations within the agent's scope chain at session start, then an LLM summarizes them into a structured briefing. Priority is scope relevance (your project > your org > global) and data type (people and active tasks first, historical logs last), with a token budget that truncates lower-priority sections.

For in-session recall, there's search_nodes — keyword matching, not embeddings. Less powerful but perfectly adequate for structured facts like "who works on project X" or "what did we decide about auth."

Cold start: first session has no briefing, but the package auto-discovers project files (CLAUDE.md, README.md) and includes them in context, so the agent isn't completely blind. The MCP tools come with proactive-saving instructions, so memory builds organically. After 2-3 sessions the briefing is already useful.

The tradeoff is explicit: optimized for structured scoped facts (people, decisions, roles), not fuzzy semantic recall. For a coding agent that needs "Alice is the lead on project X, we decided to use REST" — keyword search + scope filtering works. For "find me something vaguely related to that auth discussion" — you'd want embeddings, and that's not what this does.
by jonstewart | 2026-02-26 13:20:39+00:00
It’s a trust issue. There’s no one more of a PITA than a new team member who joins and starts questioning every little thing and demanding it be changed (the initial questioning is fine, so long as you accept “because” as a reason). OF COURSE any team that’s shipping software will have things that don’t make sense prima facie, because they’re accumulated tech debt or historical accident.

Go beyond identifying all these problems towards solving them. Choose a small problem, where you won’t have to fight and argue, just a little dust bunny you can sweep out of the way. Do it again, and again, and again. This is how you build trust. As you build trust, it becomes easier to seek change.

Additionally, you may also find that not all the little problems are worth solving, and what’s more interesting are the bigger problems around product-market fit, usability, and revenue.
by adamgordonbell | 2026-02-26 13:21:04+00:00
Revisionist History - The recent Alabama Murders story was a super interesting look into the death penalty.

The Colin & Samir show - interviews with Youtube creators. Recent John Johnson interview about doing stand up comedy for youtube was hilarious.

Lsat 12 months I listened to lots of Peter Attia, for health and aging information but not listening to him anymore because I found the Epstein emails problematic.

Latent Space gets a lot of play from me.

Darknet diaries is always great.

Corecursive, because I'm making it. Working on new episode about social media algorithms.
by zhebrak | 2026-02-26 13:21:12+00:00
I built an analytical simulator that estimates MFU, training time, memory, throughput, and cost for distributed LLM training and inference. 70+ models, 25 GPUs, all major parallelism strategies (FSDP, TP, PP, EP, CP, ZeRO). Runs entirely client-side — no backend, no data collection.

Best for sweeping strategies, sanity-checking cluster budgets, and building intuition for parallelism tradeoffs — not a substitute for profiling production workloads. Calibrated against published runs from Meta, DeepSeek, and NVIDIA within 1-2 percentage points MFU:

- LLaMA 3.1 405B (16K H100): 41.1% sim vs ~40% published

- DeepSeek V3 (2048 H800): 44.7% sim vs 43.7% published

- Nemotron-4 340B (6144 H100): 41.2% sim vs 41-42% published

Important caveat: the model captures physics (compute, memory bandwidth, communication) but not runtime optimisations and fused kernels.

Configs to try:

- LLaMA-3.1 (405B) on 16,384x NVIDIA H100 — https://simulator.zhebrak.io/?preset=llama3-405b

- Qwen3 MoE (235B) on 4x NVIDIA H200 SXM — https://simulator.zhebrak.io/?preset=qwen3-235b-inference

GitHub with benchmarks and examples: https://github.com/zhebrak/llm-cluster-simulator

If you have published training runs with MFU or throughput numbers, I'd love to hear from you to expand calibration.
by watwut | 2026-02-26 13:21:23+00:00
The athlete is in a no way a product a dude behind the tv bought. Tv watching guy is not a customer of the artist. Like, first of all, the dude behind the tv did not paid the athlete nor the athlete employer.

> but they aren’t out of line for complaining about their experience with the product.

They are just as asshole, as much valid as me mocking random people on the street.
by FrustratedMonky | 2026-02-26 13:21:35+00:00
This was under duress that government was going to use emergency act to force them anyway.

I kind of wish they had forced the governments hand and made them do it. Just to show the public how much interference is going on.

They say it wasn't related. Like every thing that has happened across tech/media, the company is forced to do something, then issues statement about 'how it wasn't related to the obvious thing the government just did'.
by torpfactory | 2026-02-26 13:22:03+00:00
It’s weird that he’s so in the numbers but then doesn’t carry through with the battery electric truck calculations. He just dismisses it out of hand.

Your cargo may be reduced but your fuel costs will also be reduced. It’s quite a complicated calculation.

Are you hauling sand? Then you probably can’t spare a single kg of cargo limit. Doing LTL work? Then maybe you’re not totally filled anyways. It really depends. If you’re fine with a 35 ton limit you might be able to make good money with the fuel savings.
by bigtoe416 | 2026-02-26 13:22:07+00:00
https://pmc.ncbi.nlm.nih.gov/articles/PMC8994130/

“In this randomized clinical trial of 285 firefighters, both blood and plasma donations resulted in significantly lower PFAS levels than observation alone. Plasma donation was the most effective intervention, reducing mean serum perfluorooctane sulfonate levels by 2.9 ng/mL compared with a 1.1-ng/mL reduction with blood donation, a significant difference; similar changes were seen with other PFASs”
by AnimalMuppet | 2026-02-26 13:22:23+00:00
What's wrong with it is, when I extend with a new subtype, I have to fix up the locations that use the type. Potentially all of the locations that use it - I at least have to look at all of them.

With the polymorphic approach, I just have to create the new subtype, and all the users can do the right thing (if they were written with polymorphism in mind, anyway - if they use virtual functions on the base class).
Show HN: Novyx – Memory API for AI agents (rollback, replay, semantic search)
by blakeheron | 2026-02-26 13:22:40+00:00
Hey HN — Blake here. We built Novyx because every AI agent framework treats memory as an afterthought. Agents forget
between sessions, can't search what they know, and when they make bad decisions there's no way to understand why.

Novyx is a memory API for AI agents. Store observations, recall them with semantic search, and roll back when things go
wrong.

What it does:

- Store + Recall — Semantic search over agent memories using sentence embeddings. Recency-weighted scoring, auto-linking
related memories via knowledge graph.
- Rollback — Point-in-time rollback with dry-run preview. Undo bad writes without redeploying.
- Replay — Time-travel debugging. Reconstruct what your agent knew at any timestamp. Diff memory states between two points.
Track individual memories from birth to death.
- Cortex — Autonomous memory maintenance. Consolidates near-duplicate memories, reinforces frequently recalled ones, decays
forgotten ones. Runs in the background.
- Audit trail — Compliance-grade logging of every memory operation. Tamper-evident hash chains.

Technical details:

- Postgres + pgvector for storage and search. Redis for auth/rate limiting. CPU-only embeddings (all-MiniLM-L6-v2).
- Multi-tenant with application-level isolation. ~82 REST endpoints.
- Python SDK and JS/TS SDK. LangChain, CrewAI, and MCP integrations.
- Free tier: 5K memories, 5K API calls/mo. Pro ($39/mo): unlimited memories + Replay + Cortex. Enterprise ($199/mo):
counterfactual recall, drift analysis, insights.

We're not competing with LangSmith or Langfuse — those are trace debuggers (what the LLM said). We're the layer underneath
(what the agent knew).

Live at https://novyxlabs.com. Docs at https://novyxlabs.com/docs.

Happy to answer questions about the architecture.
by plausibility | 2026-02-26 13:23:15+00:00
The thing they’re describing is people hand holding lapel mics right up to their mouth, rather than clipping them to their lapel or shirt or anything (where I assume they’re designed to go still). Seems more ‘indie filmmaker’ where actually clipping it on seems too polished, and why would you trust someone who’s from Big Lapel Mic on TikTok.

This lead to other people clipping them onto random objects to make fun of the trend for a while.
by rasz | 2026-02-26 13:23:48+00:00
Author is all over AI, other projects on his github are some AI nonsense made with Claude and at least partially somewhat credited this way (or maybe not obscured well enough with Claude signed commits). Release page is your standard affair LLM emojis gag. But mostly code itself smells llm, was dumped all at once and there are no commits since initial upload.
by varispeed | 2026-02-26 13:24:08+00:00
This is actually so ironic. Corporations spent fortunes to design cool websites, but what people really want is structured, easy to read information in the context they want.

So flow is you type search query to Gemini, Gemini uses Google search, scans few results, go to selected websites, see if there is anything relevant and then compose it into something structured, readable and easy to ingest.

It's almost like going back to 90s browsing through forums, but this time Gemini is generating equivalent of forum posts "on the fly".
by chris_st | 2026-02-26 13:24:18+00:00
Good nerd stories, alas it was cancelled, so no new ones:

- Uncharted with Hannah Fry

Some great fiction:

- Achewillow - horror, but not excessively horrible.

- Desert Skies - humor, about folks who work in the first sphere of the afterlife, folks who are recently dead and arrive in Buick Skylarks are equipped with microwaveable burritos and information about the spheres to come.

Fantastic poetry:

- Poetry Unbound

Really fantastic interviews, alas, it's no longer updated:

- Partners by Hriskikesh Hirway

Linguistics and language:

- The Allusionist

Tabletop RPG:

- My First Dungeon
by hereonout2 | 2026-02-26 13:24:33+00:00
It's not boasting, I'm not sure why what I wrote would come across that way. I'm describing how I use a product and the functionality it presents to me.

But yes, it's an emerging area and I am questioning if I am sharing too much with it. I 100% would not want my chat histories exposed.

Saying that though, facebook can read my highly personal messages, google every email, my phone is tracking my every move, I have to sign up for random janky websites for my kids school where ther medical info is stored, etc.

LLM chat history presents a new risk and a different set of data, but it's a crowded minefield already.
by steveBK123 | 2026-02-26 13:25:34+00:00
Yes, for those under 30 you have no idea how normalized smoking was right thru the 90s. Restaurants reeked of it, bars more so. A ridiculous percent of men smoked.

I have memories of being quite young sitting in a relatives lap at a baseball game while they smoked. Or my coach in little league smoking a pipe in the dugout filled with 11 year olds.
by StilesCrisis | 2026-02-26 13:25:56+00:00
YouTube and AdSense are both extraordinarily profitable. Google Play and Cloud are great revenue drivers as well. Search Ads are still the king of the hill, but it's definitely not their only profitable project, and many of the "unprofitable" projects funnel traffic to profitable ones--Chrome gives Search uplift, Google Play can't exist without Android, etc.
by james_marks | 2026-02-26 13:25:57+00:00
I find OP's communication style abrasive and off-putting, which tracks with them saying they've been coached on this, and found that advice lacking.

Maybe it's still insufficient advice, but it hasn't worked for them at least in part because they haven't figured out how to apply it.

From the post, I see low empathy and an air of superiority, (perhaps earned by genuinely being smarter than their peers-- doesn't make it more attractive).

That's going to cause friction because a team is a _social_ construct.
by greatgib | 2026-02-26 13:26:11+00:00
It is the moment like that where it looks obvious for third parties to use it and only it to vet customers. To the point where you are forced to deal with Google because parties "can't do anything about it".

The moment that 80%+ users go to internet through their browser but at the same time control which we site can be accessed with their safe list.

The moment that you need to create an account and start using their services and accept their terms and conditions to be removed from wrongfully added "list" impacting someone.
by mark_l_watson | 2026-02-26 13:26:16+00:00
Hopefully this is on-topic: I would hope that some people would opt for private chat services. I evaluated both Proton’s Lumo+ and DuckDuckGo’s Duck.ai services. I like both services but only wanted to pay for one and I chose Lumo+ because chat history is stored with my Proton data and is available in all my devices, Duck.ai stores chat history on current access device. Both services are also very usable with their free plans.

At least some of us in HN talk about limiting the data we give to Facebook, Google, Microsoft, etc. Isn’t it just as important to limit what we share with non-privacy preserving AIs?

Note: tech friends have asked me how I can use slightly weaker AI models and be happy about it: I still use Gemini Plus (and Anthropic via AntiGravity) for technical work: everything I do as a software developer is open source and all of my writing (20+ books) is Open Content so I don’t care about privacy and being direct-marketed based on my tech work. To me it makes sense to use the best AI just for tech work and a private AI for everything else. Think about this if a family member has a serious health problem, or something else private: do you want to use open web searches and open AI chats, or do you want to use private web search and private AI access? Why not make privacy your default, except in special situations?
by drzaiusx11 | 2026-02-26 13:26:31+00:00
Public benefit corporations in the AI space have become a farce at this point. They're just regular corporations wearing a different hat, driven by the same money dynamics as any other corp. They have no ability to balance their stated "mission" with their drive for profit. When being "evil" is profitable and not-evil is not, guess which road they'll take...
by __parallaxis | 2026-02-26 13:26:45+00:00
Good call on WAL — we do use it. The DB layer explicitly enables WAL on every connection so we get concurrent readers and a single writer without blocking, which matters when the MCP server is serving search while a sync is running in the same process.
Concurrency model: one process (one ctx serve mcp or one ctx sync at a time) with a small connection pool. Inside that process, reads (search, get) and writes (sync, ingest) can overlap; WAL keeps readers from blocking the writer and the writer from blocking readers. So it’s built for single-agent/single-server use in the sense of one Context Harness process, but that process can handle many concurrent MCP clients (all reading) and the occasional sync (one writer).

If you run multiple processes (e.g. a cron that runs ctx sync while another sync or a long ctx serve mcp is also writing), you still only get one writer at a time at the SQLite level. We recommend not overlapping writers across processes — e.g. cron that runs sync every N hours and doesn’t start the next run until the previous one has finished (or use a lockfile). Our deployment doc says: if you see "database is locked", ensure only one ctx sync runs at a time. So: WAL is on and does what you’d expect; multi-process write contention is avoided by design (one sync at a time / no overlapping cron invocations, etc).

I might add configurable vector storage later (e.g. plug in something else for the embedding index), but I’m still not sure I need or want it. I like keeping the stack opinionated toward SQLite — one file, one binary, no extra services — so that’s the default for the foreseeable future.
by ck2 | 2026-02-26 13:26:52+00:00
imagine that, sheer raw greed and profit overpowers all in America

we're less than a year away from automated drones flying over crowds of protestors, gathering all electronic signals and face-id, making lists of everyone present, notifying employees and putting legal pressure on them to terminate everyone while adding them to watchlists or "no fly" lists

REALLY putting the "auto" in autocracy while everyone continues to pretend it's democracy
by ndiddy | 2026-02-26 13:26:58+00:00
Anthropic already decided to do business with the "killing people" department of the government. I think the battle was lost there, rather than whether or not they cross a line in the sand they drew to act as if they're the ethical AI company despite making products that are used to kill people. I'm sure the result of this battle will be some compromise that allows the Pentagon to get whatever they want while offering a fig leaf to Anthropic to continue their ethicality show.
by falcor84 | 2026-02-26 13:27:28+00:00
> When I use OpenAI, Openrouter etc., I can put 10 $ on my API key, and when the key leaks, someone can use these 10 $ and that's it.

On that note, I'll just mention that I had discovered over the last while that when you prepay $10 into your Anthropic account, either directly, or via the newer "Extra usage" in subscription plans, and then use Claude Code, they will repeatedly overbill you, putting you into a negative balance. I actually complained and they told me that they allow the "final query" to complete rather than cutting it off mid-process, which is of course silly, because Claude Code is typically used for long sessions, where the benefit of being cut off 52% into the task rather than 51% into it is essentially meaningless.

I ended up paying for these so far, but would hope that someone with more free time sues them on it.
by atlasunshrugged | 2026-02-26 13:27:39+00:00
Here's my usual playlist (tilted towards policy stuff):

The Realignment
AI Summer w/Dean Ball (he has a good substack too)
Dwarkesh Podcast
American Diplomat
Marginal Revolution (also has a good blog)
Statecraft with Santi Ruiz
The Dynamist
Derisky Business from Center for a New American Security
School of War
The Sunday Show by Tech Policy Press (also has a newsletter)
Econtalk
Natsec Tech by SCSP
Politico Tech (also a range of newsletters)
ChinaTalk
CQ Rollcall
Goodfellows by the Hoover Institution
Hudson Institute Events Podcast
Conversations With Tyler
.think atlantic
Building for the Future by CSIS
Into Africa by CSIS
War on the Rocks
Rational Security
The Vergecast
A16z podcast
by brankopetric | 2026-02-26 13:27:43+00:00
Fair pushback. The connectors don't generate random content though, they turn things you're actually doing into drafts.

If you ship a feature on GitHub or publish a blog post, it writes a tweet about that specific thing. You still review and edit before it goes out.

If someone's using it to blast generic AI slop, yeah, I'd block them too. The goal is more like "I built something cool but forgot to tell anyone about it" not "fill the feed with noise."

That said, I get the skepticism. It's a real tension I think about a lot.
by itmitica | 2026-02-26 13:28:31+00:00
Interesting project.

Interesting readings in the project, such as https://github.com/desplega-ai/advanced-context-engineering-....

I'm not sure why, but I keep trying to reject this, subconsciously. Like, there is something I can't define that is not right.

I think it revolves around two things

No actual future benefits from abandoning the problem solving to a temporary swarm construct that will have a solution ready but potentially having learned nothing from the experience, that could be used in the future.

Shifting the engineering from stable sourcecode and frameworks to ephemeral prompting one-shot-and-done solutions.

Has programming become too meta?
by Imustaskforhelp | 2026-02-26 13:28:49+00:00
I observed the same thing and it was only when you told me the main domain that I found their website.

> Something tells me they're intentionally registering these "alternate" domains specifically for spam, to avoid tanking the email reputation of their main runanywhere.ai domain

This is a really bad look on them.

https://www.whatsmydns.net/domain-age?q=buildrunanywhere.org and https://www.whatsmydns.net/domain-age?q=runanywheresdk.com

Both these domain were registered only 36 days ago

Their main domain had been around for 6 month (216 days) tho:- https://www.whatsmydns.net/domain-age?q=runanywhere.ai

(I also couldn't see any post created by them on YC checking algolia from their website fwiw)

Seeing their star history on their product, I see some few interesting observations[0] Their star history was almost horizontal between december and february until it got vertical all of a sudden.

[0]:https://www.star-history.com/#runanywhere.ai/runanywhere.ai&...

I looked through their linkedin and found this website owned by them as well https://www.openclawpi.com/ and using the YC brand here as well. (registerered 26 days ago)

This website looks fairly AI generated to me as well and there are some bugs within the original website as well which I am now incredibly more unsure of if generated by AI or not given the similarities between the two websites UI/UX as well.
by xd1936 | 2026-02-26 13:28:49+00:00
My podcast would be a good fit for this audience. Three engineer friends and a rotating guest each pitch a tech product or startup idea that we wished existed, but don't have time to build ourselves. Bicycle Lasertag, Cabinets that _are_ Dishwashers, Planetarium Swimming Pools, etc.

https://spitball.show
by duxup | 2026-02-26 13:28:59+00:00
When I used to do a lot of phone tech support and my employer hired a company to do customer satisfaction surveys. I got a 0 out of 5 on several occasions with the comment "Stop calling me at this phone number, I don't know who you people are.". Someone gave the wrong phone number to the survey company and they hadn't called the customer I worked with.

I was told by my managers there was nothing they could do about it because nobody was allowed to edit the total scores or remove obviously bad records because someone might do that for the wrong reasons. So I just had to live with it.

I have it in my head that a lot of these problems core issue is a lack of faith / effort in creating good front line management. At a food place a good front line manager keeps everyone going, the mood light, and can really make all the difference in the world, but rather lazy middle, upper managers, would slap some survey or metrics or AI on things.

In that way it's no really an AI issue, just the typical bad management issue.

>Because it’s integrated with the new cloud point-of-sale system, the AI assistant will also alert managers if a machine is down for maintenance or when an item is out of stock. “Within 15 minutes, the entire ecosystem will remove it from stock

If you're out of fries ... taking 15 minutes to reflect that on the menu doesn't seem very fast.
by hnthrow0287345 | 2026-02-26 13:29:44+00:00
If we believe that, then the real question/answer for the OP's worries is that software development is in a race to the bottom, and then the advice becomes "have you tried switching to hard-to-automate-and-outsource industry?" because you are certainly never going to get respect by volunteering to be paid less just to remain competitive with cheaper workers