htrp

10 ms·

241.
by htrp 6mo ago
How is this even possible? You'd think you would use a frontier-tier cybersecurity model to secure itself.
242.
by htrp 6mo ago
cursors internal model efforts have not been able to meaningfully exceed the performance of the frontier models.
243.
SpaceX cuts a deal to maybe buy Cursor for $60B(theverge.com)
2 points by htrp 6mo ago|1 comments
244.
Google's Internal Politics Leave It Playing Catch-Up on AI Coding(bloomberg.com)
6 points by htrp 6mo ago|1 comments
245.
by htrp 6mo ago
It's also the market for lemons. You can't tell if they surveil you
246.
by htrp 6mo ago
Reminder that Claude's own AI design skill (which is probably incorporated directly into this product) says things like >NEVER use generic AI-generated aesthetics like overused font families (Inter, Roboto, Arial, system fonts), cli
247.
by htrp 6mo ago
did you write the SEC parsers yourself or use oss/off the shelf tech?
248.
by htrp 6mo ago
>If instead of a copy-pasting spree, or setting up a whateverClaw, the user might just click a button in Chrome, it could be actually useful. (Consider a dozen such buttons.) isn't this basically just putting a decision tree on top
249.
by htrp 6mo ago
context switching across the entirety of the feature surface for an app You could easily have agents to work on login page, messaging feature, database/data model update, recommender system, backend api, etc
250.
by htrp 6mo ago
why not an inbetween scenario like using a managed inference provider to host your own models?
251.
by htrp 6mo ago
Does Nvidia maintain it's own compute hardware expressly for model training? Otherwise, I'm not sure how you keep up with the SOTA model techniques.
252.
by htrp 6mo ago
Most orgs don't understand this. If you've ever been in a meeting with multiple L8's arguing over features, you should be able to estimate how much each hour of that meeting is costing the org.
253.
by htrp 6mo ago
how do you justify the compute investment for something like nemotron ? especially if all the labs are willing to pay for those same GPU clusters for inference or training runs?
254.
by htrp 6mo ago
they already pivoted to be the EUROPE ai cloud, this is just the natural consequences of cheerleading that
255.
by htrp 6mo ago
> One can envision a world in which OpenAI pays chefs money to cook while ChatGPT watches—narrating their thought process, tasting the dishes, and describing the results. This information could be used for general-purpose training, but i
256.
by htrp 6mo ago
whatever happened to the system prompt buffer? why did it not work out?
257.
by htrp 6mo ago
Reminder that Anthropic's goal is to sell you more tokens...
258.
by htrp 6mo ago
That's the problem in a nutshell. There is an art to how you generate the synthdata so that you don't get crappy trained models (especially when mistakes cost XX million dollars). It's also theoretically why facebook paid 14b
259.
by htrp 6mo ago
llama4 behemoth problems?
260.
by htrp 6mo ago
We pay people to create more high quality tokens (mercor, turing) which are then fed into data generating processes (synthetic data) to create even more tokens to train on
261.
by htrp 6mo ago
Anyone done vibe testing at meta ai yet?
262.
Anthropic buys biotech startup Coefficient Bio in $400M deal(techcrunch.com)
5 points by htrp 6mo ago|1 comments
263.
by htrp 6mo ago
How are you different from all the other quant funds?
264.
by htrp 6mo ago
> They've obviously had a go at being a first-party model company to address this, but that didn't work. I thought there was an entire initiative to build their own coding model and the fine tunes of in Composer 1.5 and Compose
265.
by htrp 6mo ago
what kind of tps slowdown would you realistically on an npu vs gpu?
266.
by htrp 7mo ago
fine tune an oss model and call it a groundbreaking innovation -- 20 points
267.
by htrp 7mo ago
isn't this basically prophet?
268.
by htrp 7mo ago
Attackers only have to be successful once while defenders have to be successful all the time?
269.
by htrp 7mo ago
I thought the expectation was cleaning up the balance sheet in preparation for IPO.... along with a pivot towards codegen revenue.
270.
by htrp 7mo ago
> But the last few weeks Opus 4.6 seems to have got dumb again. Now it is making way more mistakes and forgetting useful things and recent context it used to manage. are you logging access patterns and times to see when the degradation o

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