MurphyA/hacker-news huggingface dataset:
by alwillis | 2026-03-14 01:38:15+00:00
> I think this is actually the reason the Neo has 8 GB of RAM (non-upgradable). It’s their anti-cannibalization strategy.

It has 8 GB of RAM because they wouldn’t be able to hit the price point of $599 with more; their target audience doesn't need more. It's also why the SSD is slower than a MacBook Pro or MacBook Air; it's the only device in the lineup other than the entry-level iPad with a sRGB display; the other devices have P3 Wide Color Displays. No Thunderbolt ports, only supports 1 external display and only at 4K. No Wi-Fi 7.

These are some of the compromises they made to keep the price down. They're also using a binned A18 Pro with 5 GPU cores instead of the 6 core version in the iPhone 16 Pro and Pro Max.

There are lots of potential customer for which a Mac laptop was out of reach; it's a lot more affordable at $49.91 /month for 12 months for the $599 model.

Its display is better than PC laptops in the same price range, but that display is a non-starter for graphic designers, video editors, etc.

That's why cannibalization is a non-issue.
by quadramaDEV | 2026-03-14 01:38:23+00:00
12-year engineer here.

Replaceable? The bad ones? Yes – and they should be. The good ones? No.

You described exactly what makes a PM irreplaceable:

Staying out of the way

Removing blockers

Shielding the team from politics

Enabling decisions instead of making them

AI can summarize status reports. It can't protect a team from a dysfunctional stakeholder at 2 a.m., or know when an engineer needs space vs. needs support.

The fact that you're even asking this question tells me you're not the problem. The terrible PMs never do.

Don't leave. Adapt. Learn the tech enough to speak the language. Use AI to kill the busywork – then spend that time on what actually matters: people.

We need more PMs like you, not fewer.
by quadramaDEV | 2026-03-14 01:39:24+00:00
I've been down this rabbit hole. Here's what actually works:

For navigation:

Kensington Expert Wireless Trackball – big enough to use without precision, scroll ring around the ball, sits anywhere

8BitDo Micro – programmable Bluetooth gamepad, works as presentation clicker + arrow keys, very hackable

Xbox Adaptive Controller – overkill but lets you plug in literally any button

For voice:

Wispr Flow (you're already using) – good

Talon Voice – free, hackable, lets you control everything with voice + eye tracking if you add Tobii

Windows Speech Recognition / macOS Dictation – basic but built-in

The streaming remote hack:
Yes, you can. Most use standard Bluetooth HID profiles. Pair them, then use something like JoyToKey (Windows) or Karabiner (macOS) to remap buttons to keyboard shortcuts.

My current lazy setup:

Recliner + lap desk

8BitDo Micro in left hand (next/prev/play/voice toggle)

Trackball in right hand

Voice for text input

Feels slightly less caveman. Slightly.
by raw_anon_1111 | 2026-03-14 01:39:55+00:00
Yes

https://imgur.com/a/aOhnX79

This is my external portable monitor that I usually take with me for my computer. It gets power and video from one USB C cable it works with any computer that can do video over USB-C. It also works with my iPhone with a standard USB C cable.

I also have a USB C to HDMI cable.
by nine_k | 2026-03-14 01:40:16+00:00
> transmitter still at least looks like a point source of blackbody radiation

The whole trick is that on average it is a source of blackbody radiation exactly like any other piece of matter next to it, same temperature. It does not produce a light or dark spot on an IR camera image. It turns hotter ("positive light") and colder ("negative light") with a very high frequency, in a controllable way.
by quadramaDEV | 2026-03-14 01:40:23+00:00
1. Raw materials (rare earths, lithium, etc.)
Yes, there are bottlenecks. Mining and refining take years to scale. A new lithium mine can take 5–10 years from discovery to production. Rare earth refining is also heavily concentrated in China, so geopolitics plays a role.

2. Factory capacity
Also yes. Chip fabs (factories) cost $10–20 billion and take 3–5 years to build. Even then, they run 24/7 and are already at max. You can't just "add another shift" – they're already running flat out.

3. The intuition for timing:

Chips: 3–5 years for new fabs (plus tool lead times)

Batteries: 2–4 years for new gigafactories

Mining: 5–10 years for new mines

So for things like EVs and GPUs, we're looking at 2–5 years before supply really catches up, assuming no new disruptions.

The good news? Once new capacity comes online, it tends to stay online – so the next shortage won't be as bad.
by tokai | 2026-03-14 01:40:25+00:00
I have no idea how Haitian law looks at it, but the UN Security Council grants the Gang Suppression Force a pretty clear mandate. They specifically authorized to neutralize, isolate, and deter gangs, search for and siege weapon, and prevent the loss of life and within the limits of its capacities and areas of deployment, adopt urgent temporary measures on an exceptional basis.[0] While emphasizing the need to apply arrests and detain offenders, they are allowed to strike back. Drones are useful as indirect fire support so if proper rules of engagement are followed, maybe some of those killing are lawful.

[0] https://docs.un.org/en/S/RES/2793(2025)
by keeda | 2026-03-14 01:41:05+00:00
Is there anything from Dan Luu you could point me offhand at about Twitter's culture? The only thing I recall was a blog about technical issues but that didn't seem to have much bearing on the culture.

My understanding is Twitter always had cultural issues but it was not very different from other tech companies of the time, and what most of us would consider "directionally correct." I have it on pretty good authority from a very senior engineer who left before Elon took over (so no grudges other than, you know, "because Elon") that a lot of the things he said publicly about Twitter's technology was highly misleading or downright false. Like, IIRC, something about them not having CI/CD. Total lie.
by htrp | 2026-03-14 01:41:28+00:00
>There is currently no support for:

>Bring-your-own-key or bring-your-own-endpoint for additional rate limits
>Organizational tiers in general availability, or via contract[1]

Literal clown car product.

No plan for serious enterprise support (even 6 months after launch)

[1]https://antigravity.google/docs/plans
by kendallgclark | 2026-03-14 01:41:40+00:00
Thanks for the question.

Inlike vector databases that append embeddings to an HNSW graph, my working memory substrate natively supports mathematical forgetting.

I use a Squelch primitive—a SIMD-parallelized saturating subtraction over an 8-bit probabilistic accumulator.

When an agent finishes a chain-of-thought, we literally subtract the statistical mass of that specific reasoning path out of the 16,384-dimensional superposition.

It intentionally drops the signal back below the Kanerva noise floor, freeing up capacity in the L3 cache without destroying the other superposed facts. It works similarly for episodic memory and procedural memory.

Semantic memory, currently, is for invariants and “the schema” so no “deletions” but this will likely be reworked.

As for retrieval, yeah similarity via Hamming is table stakes. But there’s other stuff too including resonator network factorization and a Datalog variant, too.

We map Datalog semantics directly to VSA using 16,384-dimensional hypervectors.

Instead of relational tables, our EDB consists of 'Pentads' (Subj, Pred, Obj, Context, Lineage) bound together using prime-number circular bit-shifts to encode grammatical roles.

These facts are superposed into an 8-bit probabilistic accumulator.

For the IDB and schema enforcement, we use a 'Warden' actor in Gleam that intercepts state changes in the Tuplespace, validating them against constraints before they ever cross the C-ABI boundary.

When we query the Datalog, there are no B-trees or graph traversals.

We construct a 16k-bit probe and use AVX-512 SIMD to perform Maximum Likelihood Decoding directly against the superposed noise in O(1).

Because standard Datalog struggles with time, we extended the semantics to support LTL+ (Next, Eventually, Always, Until) natively over the vector space.

Our Episodic memory isn't a flat table; it's a strict chronological linked-list of physical accumulators stitched together with Holographic Pointers.

To evaluate temporal modalities like Eventually (◊) or Until (U), we don't use expensive SQL window functions or graph traversals.

The Zig sidecar just follows the Holographic Pointers, performing a O(1) SIMD resonance check at each temporal node.

If the target state resonates out of the noise at, say, Node 5, the LTL query resolves to true.

We execute temporal logic as a recursive physical jump through a non-Euclidean probability space.

Working next week on encoding Agent text into vectors directly without an LLM or SLM to assist.

I hope that helps!
by so-cal-schemer | 2026-03-14 01:42:19+00:00
A civilized language deserves a civilized layout[1]:

[{ 1| 2= 3~ 4+ 5< 6> 7^ 8& 9% 0* ]} /\
bB yY oO uU '( ") dD nN gG vV qQ #$ @`
hH iI aA eE ,; .: tT rR sS cC zZ
kK jJ xX wW -_ ?! mM lL fF pP

[1]: https://github.com/binarybottle/engram
by smcin | 2026-03-14 01:42:42+00:00
To correct the mangling of history, there was no "list of Jews kept by the Netherlands [pre-occupation]". There were only pre-existing Dutch population registries of all people, where the personal details collected by the Dutch had included religion, not for any ill purpose.

(The Nazis subsequently compiled a list, post-occupation, but that's not what you asserted.)
by hombre_fatal | 2026-03-14 01:42:55+00:00
Also, when you hit compaction at 200k tokens, that was probably when things were just getting good. The plan was in its final stage. The context had the hard-fought nuances discovered in the final moment. Or the agent just discovered some tiny important details after a crazy 100k token deep dive or flailing death cycle.

Now you have to compact and you don’t know what will survive. And the built-in UI doesn’t give you good tools like deleting old messages to free up space.

I’ll appreciate the 1M token breathing room.
by Charon77 | 2026-03-14 01:45:12+00:00
First of all, I don't want to run anyone's code without proper explanation, so help me understand this.
Let's start with the verifier. The 3rd party verifier receives a bundle, not knowing what the content is, not having access to the tool used to measure, and just run a single command based on the bundle which presumably contains expected results and actual measurements, both of which can easily be tampered. What good does that solve?
by keeda | 2026-03-14 01:45:43+00:00
I don't understand this take. Do people think engineers go in to work to turn handcranks to keep the machines running? It's actually a credit to the automation built by the engineers he fired that it kept running!

At the time I joked that like Chaos Monkey, we should have an "Elon Monkey" to "fire" arbitrary people by sending them on mandatory vacations with no connectivity to see what falls over.
by wilkystyle | 2026-03-14 01:46:29+00:00
I agree with your point about human level communication and treating the recipients like they matter. I generally tend to prefer communication that is more on the blunt/direct side, but if there's one thing about communication that I've learned throughout my career, it is that the people who do best are adept at communicating well with a wide variety of people with different communication styles and preferences.

The people who try to force everyone else to fit into a specific bucket of communication style, or who refuse to deviate from their own strict communication preferences no matter the audience, those are the people I see struggle to find success relative to their peers.
by so-cal-schemer | 2026-03-14 01:47:56+00:00
"Engram is a family of keyboard layouts optimized for comfortable and efficient touch typing in different languages created by Arno Klein. You can use the open-source software to create new key layouts optimized for different languages."

[{ 1| 2= 3~ 4+ 5< 6> 7^ 8& 9% 0* ]} /\
bB yY oO uU '( ") dD nN gG vV qQ #$ @`
hH iI aA eE ,; .: tT rR sS cC zZ
kK jJ xX wW -_ ?! mM lL fF pP
by TheAceOfHearts | 2026-03-14 01:48:07+00:00
I've been saying this for a while, but if I had to use Grok for anything programming-related I'd feel very sad and unproductive. I was playing around with a local TTS model codebase but having some issues getting it to work, so I tried explaining the problem to all the major models to see how they performed. Grok performed the worst by a significant margin, and the worst part was that it easily became stuck trying minor changes that didn't solve the key problem.

If we are to take any claims of Recursive Self Improvement seriously at all, then having a competent coding model seems like a key asset where you need to guarantee that you're remaining competitive. Why wouldn't you make coding models a top priority if you expect it to ultimately help your internal teams become more productive and effective?

There's also not an unlimited supply of researchers and engineers for them to keep burning through people at the rate at which they've been working. Although I guess for people with short timelines it makes sense to sprint hard, while people with longer timelines are more likely to treat this as a marathon. Maybe the years of burning bridges and developing such a toxic reputation are finally catching up to Elon. I think part of the harm that Elon has done is framing all the work in xAI as engineering while being highly dismissive of research, but a lot of research requires running experiments or thinking about problems and exploring them for long periods of time. If you're just grinding out work nonstop you don't really have time to let your mind wander and explore new ideas.

Honestly, I'm surprised they've done such a terrible job with programming. I remember around summer last year it was quite apparent how far behind they were with coding tools, but Elon was posting about taking that domain a bit more seriously. Why didn't any of those efforts materialize into real outputs? Something must be truly dysfunctional inside of xAI for them not to be shipping anything at all, especially considering Elon's propensity to ship undercooked products while continuing to iterate on them, as he has done in many previous cases.

I've noticed that Elon has also gone very hard on social media posting a ton of criticisms against the other big AI company CEOs like Daario Amodei. This suggests to me that he must feel very threatened, otherwise he wouldn't be resorting to such childish behavior. He must feel incredibly frustrated that no amount of money is able to make him more competitive within the AI space.
by altairprime | 2026-03-14 01:48:21+00:00
"seems to be causing" is also an excellent alternative to "it looks like" that doesn't hinge on visual-sensory primacy, and tends to translate slightly less ambiguously across language-familiarity boundaries due to 'seems' having more precise meaning re: uncertainty than 'looks', 'feels', 'sounds'. Or you could abbreviate to "could be" / "may be" / "might be" (non-high certainty), "is probably" (high certainty) if that sort of nuance is your thing. Noteworthy point: it is neurotypical to treat "is" as 100% certain rather than 99.9% certain when someone says it confidently, but as 80% certain rather than 99.9% certain when someone says it uncertainly, based solely on non-verbal nuance; this can be infuriating and I tend to recommend saying "I am certain" at 99.9% in combination with courteous handling of the slight but eternal possibility of being wrong.

"Let me know how I can help" should not be taken for granted as a thing to be offered, though. Some teams have very strict divisions of labor. Some workers (especially anyone whose duties are 'monitor and report' rather than 'creatively solve') are not overtime-exempt and cannot volunteer their time. Some workers (especially anyone who's reached a high-capability tech position from the ground up) are flooded with opportunities to do less of their own job and more of everyone else's and must not preemptively offer their time to an open-ended offer of 'help'. A more focused phrase such as "Let me know if you have questions, need more evidence, etc." provides a layer of defense against that without implicitly denying assistance for help if requested.

"Thanks!" is one of the most mocked request-terminators I've seen in twenty years of business. It is widely abused as "have fun storming the castle, i'm out micdrop" rather than as a sincere expression of gratitude that contains any actual statement of why you're grateful. "Thank you for doing the job the company paid you to do" sounds ridiculous when you say it out loud, even to neurotypicals. Tell people thank you with more than one word if you mean it, and tell them what you're thanking them for, and consider thanking them for what they did rather than lobbing it like a grenade strapped to a problem. If you hand them a problem and they say "got it, I'll look into it", saying "Thanks." to that is completely fine; it serves the exact purpose of courtesy described, and also doubles as a positive-handoff "your plane" reply concluding the problem handoff, so that you can safely mark it as delegated, they can safely assume you didn't miss their message and are continuing to work it, etc.
by desmondwillow | 2026-03-14 01:48:26+00:00
Congratulations on the launch, Edgar and Lewis! I tried out https://pg.runcaptain.com/ ---
1. I can't seem to select the text during text generation without it being deselected as soon as more text is generated.

2. It seems like it tries to emit citations, but doesn't emit proper links and instead just wrote [filename].

> one of the most common pieces of advice Y Combinator gives to startups [153_do_things_that_dont_scale.pdf].
by schopra909 | 2026-03-14 01:49:44+00:00
Very cool work! We spend a lot of time thinking about "robust representations" in the video space.

Are there any alternative ideas to JEPA right now, when it comes to speech encoding that couples meaning and sound? Curious to learn more about journey from the problem space to solution space (JEPA).

For context, in our domain video-JEPA hasn't proved to be as helpful as one would have hoped. It's decent at high level semantics (e.g. action detection) but doesn't capture enough "detail" (intentionally so) to be used as a powerful enough encoder (or regularizer). Might be just because the research models are too small / haven't been trained on sufficiently large volumes of data, yet.
by Lama9901 | 2026-03-14 01:50:53+00:00
Good question — this is exactly the right thing to challenge.

You're right that a bundle alone proves nothing if the
creator controls both sides. The tamper-evidence comes
from two things you can verify independently:

1. The governance layer. The bundle isn't hand-crafted —
it's produced by a CI-enforced pipeline (steward_audit.py,
sealed in CI, locked via policy gate). The pipeline is
public. You can read exactly what it does before running
anything: scripts/steward_audit.py, scripts/mg.py.

2. The physical anchor. For materials and FEM claims —
the "expected result" isn't inside the bundle at all.
Young's modulus for aluminium (~70 GPa) is a physical
constant measured independently in thousands of labs.
It's not a value I chose. The verifier checks the result
against external physical reality, not against a number
I provided.

So the question isn't "did he put the right number in
the bundle" — it's "does this computation agree with
what physics says aluminium does?"

That's what the physical anchor solves. For ML and data
pipelines — you're right, it's provenance only, not
physical grounding. Documented honestly in
reports/known_faults.yaml :: SCOPE_001.
by compiler-guy | 2026-03-14 01:50:58+00:00
Although the Rand corporation did contribute some ideas theoretically connected to nuclear survivability (packet switching in particular). All that work was pre-ARPAnet and don’t really motivate the design in that way.

It was designed to handle partial breaks and disconnections though. Wikipedia quotes Charles Herzfeld, ARPA Director at the time as below. And has much ore discussion as to why this belief is false. https://en.wikipedia.org/wiki/ARPANET

====

The ARPANET was not started to create a Command and Control System that would survive a nuclear attack, as many now claim. To build such a system was, clearly, a major military need, but it was not ARPA's mission to do this; in fact, we would have been severely criticized had we tried. Rather, the ARPANET came out of our frustration that there were only a limited number of large, powerful research computers in the country, and that many research investigators, who should have access to them, were geographically separated from them.[113]
by WarOnPrivacy | 2026-03-14 01:51:38+00:00
A fundraising email from President's political action committee has a
provocative pitch. It uses an image from Saturday’s dignified transfer
honoring six fallen US soldiers, it promises access to the president’s
"private national security briefings."

The email, sent by Never Surrender, Inc., promotes what it calls a
“National Security Briefing Membership” and urges recipients to
“claim your spot” with multiple links to donate, in what it describes
as an exclusive group receiving updates about national security threats.
by jmyeet | 2026-03-14 01:51:56+00:00
I bought a PC in early 2021 IIRC. It was good for the time and a good deal for a high end PC. IIRC it was $2800 and had a 6900 XTX. Last year I accidentally killed it. The CPU temps were higher than I'd like (~85C). the thermal grease can become hard and ineffective over time so I figured I'd replace it. Instead, it had become like cement and by twisting the AIO off, I snapped the socket on the motherboard.

This was an expensive mistake as I both looked into buying a replacement motherboard and CPU but that quickly gets to the price of a new PC. Paying someone to rebuild my PC is expensive and I'm beyond the age of wanting to fully remove a motherboard and effectively rebuild my entire PC myself. So I didn't know what to do with it.

Anyway, I ended up buying various alternatives like a NUC with 32GB of RAM, a laptop (with a 4080) and a Mac Mini. But I also ended up buying a new 9800X3D PC with a 5070Ti. Like I said, it was an expensive mistake.

But I decided for no particular reason to upgrade the (already good) 32GB of DDR5-6000 to 64GB with a $200 kit of DDR5-6000. This was in July I think. I also upgraded my laptop to 64GB for no readily apparent reason.

I recently checked and that $200 64GB kit now costs $950. SSDs are through the roof too but through complete accident I'm surrounded by about 5 PCs and a bunch of spare RAM. I don't see myself upgrading anytime soon.

I will say that there are some good deals (relative to current pricing) for combos including CPU, motherboard and memory or even some pretty good prebuilts.
by scorpioxy | 2026-03-14 01:52:32+00:00
Besides trying to run on your own hardware, anybody have recommendations for running some decent models on one of the many "AI clouds" providers? This is for sporadic use and so maybe one of the "serverless" providers that bill by the hour or minute or similar as opposed to monthly renting GPUs.

There are quite a few of them but their marketing is just confusing and full of buzz words. I've been tinkering with OpenRouter that acts as a middleman.
by popupeyecare | 2026-03-14 01:53:10+00:00
I actually don't know if Google Voice has that capability unless you hack it by having each phone logged into the same account.

The biggest benefit for me with StatPhone is the incoming callerID is the StatPhone number. So even if the kid's school is calling from a random number, on your phone it shows the StatPhone number and you know its a call pertains to your child.

Also grouped escalation, so if my father calls in an emergency, the kids get called first and then the in laws and our uncle.