pama

8 ms·

91.
by pama 6mo ago
Failed to verify my iphone browser…. But my claw could read it and text me the contents. The web is turning silly…
92.
by pama 6mo ago
The price over earnings (arguably an imperfect, but better way to compare stock prices against each other than using pure revenue) for Apple has been fluctuating within about a factor of 2 for the last 20 years. Since before the iPhone, peo
93.
by pama 6mo ago
What you way is true after the container starts. Typical HPC codes are tuned to raw hardware so they assume full ownership of the hardware anyways. When HPC was developing 30 years ago we didnt have clean ways to avoid overheads in the regi
94.
by pama 6mo ago
HPCs never loved the inefficiencies of anything virtualized (VMs or any containers really), so the shell hacks of module enabled a (limited, but workable) level of reproducibility that was sufficiently composable and usable by researchers w
95.
by pama 6mo ago
All of the ones I mentioned work great for me. You can dream up your interface and inject technical design ideas and your claw can code it up; as you test it, you fix it if you get new ideas for how it should work.) For example my recipe pr
96.
by pama 6mo ago
I use it a lot for personal stuff. Off the top of my head: Best way so far to build and use personalized/family tools for dining/recipe/movie/literature/reminder/organizer/security/notes—-in addition
97.
by pama 6mo ago
It would be fun to catalogue all one-variable functions that can be represented as binary trees of fixed depth in this way and then encode the trees in binary. Lots of these functions in old math book tables would look very different with
98.
by pama 6mo ago
Totally gives nerd sniping vibes: https://xkcd.com/356/
99.
New codex rate card(help.openai.com)
1 points by pama 6mo ago|0 comments
100.
by pama 6mo ago
How is the sglang performance on Blackwell for this model?
101.
by pama 6mo ago
It is by the individual who (also with Claude) found the specific vulnerability used in this exploit.
102.
by pama 6mo ago
Parallel inference on large compute scales in superlinear ways. There is no way to beat the reduction in memory transfers that a data-center inference model provides with hardware that fits at anything called a home. It is much more energy
103.
by pama 7mo ago
A thinly vailed ad for yet another variant that inevitably leads to more confusion and yet another future security nightmare. The authors (should) know better. No, the purpose of OpenClaw is not to immediately give it all your private accou
104.
by pama 7mo ago
You underestimate academia. Any academic that reads these two sentences only focuses on the first one: He has a named chair at Courant. In Germany, being a a Prof is added to your ID card/passport and becomes part of your official name
105.
by pama 7mo ago
This is a useful concept that helps discovery, with a neat and functional website aesthetic. I hope the skill sharing space will eventually become usable and safe.
106.
Agent Skills Marketplace(skillsmp.com)
1 points by pama 7mo ago|1 comments
107.
by pama 7mo ago
Aren't most these people recommending random tools in the github chat for this entry just attempting to exploit naive users? Why would anyone in this day and age follow advice of new users to download new repos or click at random webs
108.
by pama 7mo ago
Who benefited from all the years Elon Musk studied in the US and built his early companies? Certainly not south Africa.
109.
by pama 8mo ago
Mac minis are sold out in NYC these days because everyone gets them to try out openclaw. Even if this move by Apple is unrelated to the recent demand, it certainly was timed right for the policy and market makers.
110.
Unified Latents (UL): How to train your latents(arxiv.org)
2 points by pama 8mo ago|0 comments
111.
by pama 8mo ago
TBH I would first walk there to check that they can take me on the spot, and if so, ask them to either please come clean it (only 50m away) or if they cannot fly it there. So walk seems very rational to me.
112.
by pama 8mo ago
Cheap verifying of speculative decoding only works for a few tokens at a time. Long sequence generations (thousands to tens of thousands of tokens in typical rollouts for thinking models) are dominated by distribution drift on stale weights
113.
by pama 8mo ago
Not OP. Personal opinion on why it is a somewhat hard problem. The main problem is using the available compute correctly and productively while doing two very separate types of tasks that were previously solved independently: generating res
114.
by pama 8mo ago
Please update the title: A Benchmark for Evaluating Outcome-Driven Constraint Violations in Autonomous AI Agents. The current editorialized title is misleading and based in part of this sentence: “…with 9 of the 12 evaluated models exhibiti
115.
by pama 8mo ago
The advantage of the formal proof is that the LLM in a loop can know that it failed and keep trying.
116.
by pama 8mo ago
I like your effort. Time savings and strict security are real and important. In modern orchestration flows, however, a subagent handles the extra processing of tool results, so the context of the main agent is not poluted.
117.
by pama 8mo ago
I use headless mode (-p) and keep my named shell histories as journals (so no curses/TUI or GUI). But session management or branching could improve at the tool level and allow seamless integration with completion tools, which could be
118.
by pama 8mo ago
My main take is exactly the opposite. Why not build everything with a simple text interface (shell command) so the models learn to use these tools natively in pretraining. Even TUI like codex-cli or claude code are needless abstractions for
119.
by pama 8mo ago
Sometimes find (with desired maxdepth) piped to gnu-parallel rsync is fine.
120.
by pama 8mo ago
Not equivalent to the binary driver: you can modify it yourself with post training on your own data. So it sits somewhere between NVIDIA userspace drivers and Emacs, or Clade Code and codex-cli. We don’t have good analogies from older gener

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