kiratp

5 ms·

1.
by kiratp 24d ago
The actual issue, is suspect, is that Anthropic won’t provide ZDR for Fable. Makes it a non started for a large percentage of businesses.
2.
by kiratp 2mo ago
AISI is capped at 100M tokens and K3 is less token efficient than Anthropic/OpenAI models. There is an argument to be made, looking at AISI results, that with uncapped tokens it would be just slightly behind the closed weight players.
3.
by kiratp 5mo ago
Agents making forward progress hours apart is an expected pattern and inference engines are being adapted to serve that purpose well. It’s hard to do it without killing performance and requires engineering in the DC to have fast access to S
4.
by kiratp 5mo ago
OpenAI does this for all API calls > Our systems will smartly ignore any reasoning items that aren’t relevant to your functions, and only retain those in context that are relevant. You can pass reasoning items from previous responses eit
5.
by kiratp 5mo ago
By caching they mean “cached in GPU memory”. That’s a very very scarce resource. Caching to RAM and disk is a thing but it’s hard to keep performance up with that and it’s early days of that tech being deployed anywhere. Disclosure: work on
6.
by kiratp 5mo ago
At the full current retail API price. Business buyers are paying API prices, not subscription Disclosure: Work at Microsoft on AI
7.
by kiratp 6mo ago
GitHub Copilot CLI lets you use all these models (unless your employer disables them. https://github.com/features/copilot/cli Disclosure: work at Msft
8.
by kiratp 7mo ago
Same contractors (Beoing) who built Starliner... Explaining Why NASA's Starliner Report Is So Bad > https://www.youtube.com/watch?v=L96asfTvJ_A
9.
by kiratp 10mo ago
This is missing a key part of the picture - Nvidia just announced that partners will need to source RAM themselves. OpenAI is basically ensuring that they can actually get the chips they need for the DCs they are building. I can’t guess as
10.
by kiratp 10mo ago
A loop either never halts or has a conditional. I guess a compiler could elide a “while True:” to a branch-less jump instruction. One hack would be to use recursion and let stack exhaustion stop you.
11.
by kiratp 10mo ago
A for loop has a conditional in it. Unless by conditionals we mean “no if/else” and not “no branch instructions”.
12.
by kiratp 10mo ago
A for loop has an implicit conditional in its stop condition check.
13.
by kiratp 11mo ago
This only applies to large employers. Smaller ones are just presentef a limited list of plans to pick from, and the plans change every year. Most of the time, as a startup, you can’t buy a Mag7 equivalent health plan for any amount of money
14.
by kiratp 11mo ago
Should the app builder’s ability to “trust” that the hardware will protect them from the user supersede the user’s ability to be able to trust that the hardware will protect them from the app? In other words, should the device be responsibl
15.
by kiratp 11mo ago
The kind of people in these small teams are not ones to think "work is just work".
16.
by kiratp 1y ago
You can put the AI on rails by just prompting by it. The latest models are very steerable. System prompt: “stick to steps 1-n. Step 1 is…” I can say confidently because our company does this. And we have F500 customers in production.
17.
by kiratp 1y ago
I see no evidence of that. It seems like they tried to put the AI “on rails” with predefined steps and things went wrong.
18.
by kiratp 1y ago
So much negativity. I’m just excited that our industry is lead by optimists and our culture enables our corporations to invest huge sums into taking us forward technologically. Meta could have just done a stock buyback but instead they made
19.
by kiratp 1y ago
This is due to RoPE scaling. > All the notable open-source frameworks implement static YaRN, which means the scaling factor remains constant regardless of input length, potentially impacting performance on shorter texts. We advise adding
20.
by kiratp 1y ago
Hardware can be the same but scheduling is a whole different beast. Also, if you pull too manny resources from training your next model to make inference revenue today, you’ll fall behind in the larger race.
21.
by kiratp 1y ago
> Importantly, we never intentionally degrade model quality as a result of demand or other factors, and the issues mentioned above stem from unrelated bugs. Things they could do that would not technically contradict that: - Quantize KV c
22.
by kiratp 1y ago
Source?
23.
by kiratp 1y ago
It's an arms race. https://removemysynthid.com/tools/images
24.
by kiratp 1y ago
lol look up Civil Asset Forfeiture.
25.
by kiratp 1y ago
> Edit: Letter frequency apparently has just become another scripted output, like doing arithmetic. LLMs don't have the ability to do this sort of work inherently, so they're trained to offload the task. Mechanistic research at
26.
by kiratp 1y ago
The web browsers that the AI companies are about to ship will make requests that are indistinguishable from user requests. The ship on trying to save minimization has sailed.
27.
by kiratp 1y ago
So a sequence of characters that is a python program is “neurosymbolic” but a sequence (of the same domain) in English (a different ruleset) that says “reverse this string” is not?
28.
by kiratp 1y ago
That will play out exactly like the "Do not track" bit did.
29.
by kiratp 1y ago
How do you launch a dev tool with a “contact us” call to action? It’s like Mistral is choosing to fail here. Edit: I can't even tell if its a CLI tool, an IDE plugin or a standalone IDE! Edit 2: oh man! it's at the bottom of the p
30.
by kiratp 1y ago
The productivity boost can be so massive that this amount of fiddling to control costs is counterproductive. Developers tend to seriously underestimate the opportunity cost of their own time. Hint - it’s many multiples of your total compens

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