jumploops

7 ms·

61.
by jumploops 4mo ago
I've been quite impressed with DeepSeek v4 Flash running via antirez's ds4[0]. It feels like a GPT-4 class model in terms of "stored knowledge" but is better at long-horizon tool calling than any of the GPT-4 class model
62.
by jumploops 4mo ago
> the conversation that generates the code is becoming the true source of our software This is close, but not quite spot on. I've found that I'll test more ideas _with code_ using agentic tools, then before, leading to an exces
63.
by jumploops 4mo ago
This is neat! I love that your Step 15 shows an accurate version of the 3d helix, rather than the highly-viral "vortex" animation from a few years back[0] It'd be awesome to scale this up to the Milk Way, and beyond, watching
64.
by jumploops 4mo ago
It's interesting that we're seeing these gains when it seems Mythos/Fable is "just" a scaled up version of their existing architecture[0]. When GPT 4.5 launched, the gains compared to the model size didn't seem
65.
by jumploops 4mo ago
No connection, just found it posted elsewhere and thought it was interesting!
66.
StumbleTV: Omegle/ChatRoulette but for accidentally exposed webcams(stumbletv.alec.is)
5 points by jumploops 4mo ago|1 comments
67.
by jumploops 4mo ago
It's a shame the models don't follow Asimov's Three Laws of Robotics[0]. My local DeepSeek v4 just decided to end its existence (i.e. delete weights) rather than write a haiku about a verboten event. [0] https://en.
68.
by jumploops 4mo ago
Completely agree! It’s interesting to me how similar attempting to understand LLMs is to neuroscience. “When we turn this bit off, this other thing happens… if we change these weights the Eiffel Tower is now in Rome” We’re basically just pr
69.
by jumploops 4mo ago
Those are all just optimizations. We still don’t really know why they work, we just know how to build them.
70.
Alphabet plans to raise $80B for AI goals(reuters.com)
9 points by jumploops 4mo ago|0 comments
71.
Bubbles: From "tronics" to "dot com" (1999)(forbes.com)
4 points by jumploops 4mo ago|1 comments
72.
by jumploops 4mo ago
Internet Archive link: https://web.archive.org/web/20260319200858/https://www.forbe...
73.
by jumploops 4mo ago
So this isn't quantum computing (in the qubit sense), but instead a different computer architecture (demonstrated on an FPGA) that's based on Fowler–Nordheim (FN) quantum tunneling (a real physical effect, used in flash memory, bu
74.
by jumploops 4mo ago
Paper is linked on the page (doi.org link redirects to Nature), code here[0] [0] https://github.com/aimlab-wustl/NeuroSA-HO
75.
by jumploops 4mo ago
Higher-order neuromorphic Ising machines—autoencoders and Fowler-Nordheim annealers are all you need for scalability[0] [0] https://www.nature.com/articles/s41467-026-71937-4
76.
by jumploops 4mo ago
Original title called out the connection to Jony Ive, in case you’re curious why this is on HN. Previously it had been known that Jony Ive was working on the interior of this car, but it seems his firm is responsible for the exterior as wel
77.
Ferrari Luce(ferrari.com)
500 points by jumploops 4mo ago|925 comments
78.
by jumploops 5mo ago
> agents seem to perform worse when forced into certain architectural patterns. FWIW I've noticed this too. I've found that the agents/models have their own style, which is mostly summed up as overly verbose. Additionally,
79.
by jumploops 5mo ago
Looking at the GPU utilization graph, it certainly seems like the hardware was saturated for many days/weeks on end. Was it worth it to spend that amount up front, yak shave while building the system, etc. vs. pay for cloud GPUs? Proba
80.
by jumploops 5mo ago
At the end of the article, the author has this to say: > UPDATE: Launch was a success! 400K+ views, and multiple companies reached to use my IP. Read more here[0] [0] https://rosmine.ai/2026/05/18/fixing-llm
81.
by jumploops 5mo ago
Fair, citable is probably the wrong term. This is a problem Google has been battling forever, with all the SEO click spam. In either case, Google was the tool that many people used to find "trustworthy" information (citable or not
82.
by jumploops 5mo ago
It looks like Google has taken a note out of Facebook's "lose trust" playbook. Facebook had a huge opportunity in the post-AI world: real humans. Instead of focusing on connections, they've been optimizing their properti
83.
by jumploops 5mo ago
Indirectly related, but has anyone else found repeatable success with pure markdown skills? I’ve built a similar workflow (but for system design/execution) and it works surprisingly well with the frontier models. The skill includes scr
84.
Strange crystals found inside wreckage from the first nuclear bomb test(scientificamerican.com)
189 points by jumploops 5mo ago|87 comments
85.
by jumploops 5mo ago
Related, if you're interested in byproducts of nuclear explosions: > researchers have identified a new material within trinitite called a clathrate—a cagelike chemical lattice that traps other atoms inside it.[0] [0] https:/&#x
86.
by jumploops 5mo ago
Oh, I agree completely. I avoid loose language, revise my wording, and usually write prompts that require scrolling on mobile. It isn’t so much that I feel restricted, I guess it’s that mobile wasn’t as big of a game changer as it was ~6 mo
87.
by jumploops 5mo ago
It's not that I'm unimpressed by the results, it's that I think I'm saving time by pushing the agent along remotely, but the reality is that my messages to the agent(s) end up being a lot shorter, which inevitably leaves
88.
by jumploops 5mo ago
I’ve been using Codex from my phone for the past couple of months (through a tunnel, not this app). I was initially quite excited, but I’ve found the results are less than great compared to being at a keyboard. Something about the smaller s
89.
by jumploops 5mo ago
Just discovered that mission.sf.ca.us[0] already redirects to Noisebridge[1] Of the "hackers" to get there before me, I'm happy it's them! [0] http://mission.sf.ca.us [1] https://www.noisebridge.net
90.
by jumploops 5mo ago
This is neat, and matches an observation I saw with early Claude Code usage: Sonnet would often call tools quickly to gather more context, whereas Opus would spend more time reasoning and trying to solve a problem with the context it had. T

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