riknos314

5 ms·

31.
by riknos314 3mo ago
https://artificialanalysis.ai/evaluations/artificial-analysi...
32.
by riknos314 3mo ago
Qwen 3.5 27B also scores higher than 3.5 122BA10B. So even in the same generation the smaller dense model outperformed the larger MOE
33.
by riknos314 3mo ago
Iirc the ban only applied to non-Americans. While anthropic found collecting citizenship information on all customers too burdensome, it's a much smaller lift to collect such info for your own employees. So I'm assuming at least
34.
by riknos314 3mo ago
If it's true that in under 15 days of access significant improvements were realized in K3, then the moat of closed-weight models is far smaller than previously thought. Doesn't bode well for the valuations of these labs.
35.
by riknos314 3mo ago
And corn which was used to make energy (as ethanol) at a fraction of the land efficiency of solar. https://www.anthropocenemagazine.org/2025/04/new-study-compa...
36.
by riknos314 3mo ago
Assuming all 64 subagents were running for a full hour (the tweet states just under an hour): Throughput Output tokens Output cost ---------------------------- ------------- ----------- 40 tok/s (5.5 lo
37.
How to Make the World's Best Black Shirt [video](youtube.com)
1 points by riknos314 4mo ago|0 comments
38.
by riknos314 4mo ago
Let's use an example of a GW AI deployment. At $0.07/kWh, that costs $70,000 every hour in just electricity. $1.7 million /day. $613 million /year. I had claude estimate the GPU cost of such a deployment: > To get ra
39.
by riknos314 4mo ago
> All these points are valid, and OpenAI did a great job identifying potential risks, especially misuse and biases, at an early stage. Many of the OpenAI employees who were focused on these risks in GPT-2 later founded Anthropic, notably
40.
by riknos314 4mo ago
Are teaching and software engineering even job categories that overlap enough that they should compete for the same pool of visas? It seems to me things would be better if they were classified as different visa categories.
41.
by riknos314 4mo ago
> There was a change that took place in the late 70s it looks like https://wtfhappenedin1971.com/
42.
by riknos314 5mo ago
Unfortunately in the current market 32GB of ddr5 seems to run about $400 as 2x16gb DIMMS, and even more for 1x32GB DIMM (higher density chips are more expensive). So $600 really isn't much over market price, especially considering str
43.
by riknos314 5mo ago
The premise is correct, but this particular source is definitely an ad for a blood testing program. > The [Vitamin D Receptor] VDR is part of the nuclear receptor superfamily of steroid hormone receptors, which are hormone-dependent regu
44.
by riknos314 5mo ago
I started using similar approaches in the sonnet 3.5 era and found them incredibly useful at the time. The frontier lab models have gotten significantly better about their guesses over time, but I still sometimes turn to the technique if
45.
by riknos314 5mo ago
No simulation is perfect, so ideally you have a feedback look constantly looking at new real-world data as it comes in and finding where the simulation has errors, and updating the simulation to improve the correlation between the simulatio
46.
by riknos314 5mo ago
I like this concept of adding additional context to the dependency graph of imports. Any plans for tooling that would enable rules like "no code above tear <N> allowed in the production build"?
47.
by riknos314 5mo ago
Intel employs over 9000 people in Israel [1]. There's significant chip development and manufacturing talent there, so it's not really all that surprising if Apple has a team there for those purposes. Also Apple bought out Intel&#x
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by riknos314 5mo ago
Age gating the VPN age gates (pseudo-anonymous) access to 100% of the content on the internet. Regardless of whether or not you agree with it, age gating only the porn subset of the internet is a much smaller restriction.
49.
by riknos314 5mo ago
> those that do not have an "unavoidable expiration date"." Try avoiding the heat death of the universe /s
50.
by riknos314 5mo ago
A more accurate phrasing is: It's significantly less likely that one learns the portion of the work they offload to an LLM. A random anecdote is that most of the people I know who went very far in theoretical math are relatively poor a
51.
by riknos314 5mo ago
Amazon has far more roles than just software. PMs, FC area managers, managers - if your job involves writing anything you're expected to be using AI in some capacity.
52.
by riknos314 5mo ago
Even if the ultimate measure is dollars most employers will attempt to predict which metrics of employment best correllate with dollars so they can predict how many people to hire
53.
by riknos314 5mo ago
Any claim about "productivity is due to X" that doesn't define a timescale is either flawed or misleading. In fact all measures of anything need to be done across some meaningfully defined time scale to have any relevance.
54.
by riknos314 5mo ago
> github has a huge warning saying to never use pull_request_target to run user code This is an area where documentation is necessary but not sufficient. Github needs to add some form of automated screening mechanism to either prevent t
55.
by riknos314 5mo ago
If your intestinal lining is healthy, there's probably not much to worry about. If it hurts while just sitting in your gut that's probably a red flag that something about your digestive system is off.
56.
by riknos314 5mo ago
That's still coordinated, but by the publicizing of the key
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by riknos314 5mo ago
What process or mechanism would you prefer to use instead of coordinated disclosure?
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by riknos314 5mo ago
I believe this premise that the cost of identification of vulnerabilities via diffs is going down over time begs the question "what do our processes need to look like if simply making the patch public is the disclosure?" Current c
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by riknos314 5mo ago
I believe their point was that: "How likely is this diff a patch for an existing vulnerability?" Seems to be an easier question to answer than "Are there any new vulnerabilities introduced by this diff?" In other words i
60.
by riknos314 5mo ago
If the parameter names mostly standardize across tools because the models learn to predict those names, then humans will also learn to predict those flag names so this actually has the potential to make tools more human friendly and easie

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