ej88

6 ms·

1.
by ej88 4mo ago
i think the thread shows: - most people's perception of art is heavily affected by the framing (and to a lot of people ai = bad, and so they start seeing technical issues with it that could /never/ be made by Monet despite it
2.
by ej88 4mo ago
Ya, the demos were pretty contrived (feels like a running theme amongst the labs...)
3.
by ej88 4mo ago
swe bench pro has a public and private test set, where the private eval is from proprietary codebases only
4.
by ej88 4mo ago
This is cool! I used to work on post-training & evals. it's really hard to make a good eval set and catch all forms of reward hacking. Excited to see more from poolside!
5.
by ej88 4mo ago
An omni model seems very useful for real-time human-computer interaction, off the top of my head: - Voice assistants - Customer experience - Gaming - Meeting assistants - Real-time coach or user assistant for using software - Translation -
6.
by ej88 4mo ago
i would argue its the opposite farming hit a ceiling because of demand software today is heavily, heavily constrained by supply. demand is basically infinite for actually good software that solves problems people have (and people always hav
7.
by ej88 4mo ago
"She rejected several applicants with PhDs and engineering backgrounds, reasoning that their level of education could not compensate for a lack of hands-on specialty coffee experience." This is depressing.
8.
by ej88 4mo ago
1. part of the moat is their guardrails and obviously they are audited and tracked. there are agents issuing refunds and more at scale right now so not sure where the skepticism comes from.. you're free to try and jailbreak them 2. ano
9.
by ej88 5mo ago
1&2 are already happening, these startups take on brand liability and trust to do so 3 depends on how companies want to measure it, but lack of user submitting satisfaction score is not a good thing you can use a model w/o reasonin
10.
by ej88 5mo ago
that's fair, most implementations in the industry are in the early stages and implementing a full powered agent with access to all the tools it needs is hard (very political as you can imagine). i hope over the next year you notice the
11.
by ej88 5mo ago
adding some context as someone who works in this space 1. most people (average, non-tech people) reach for the phone to call in for easily solvable problems. Plus, if the agent is integrated deep enough & has tools to interact with crms
12.
by ej88 5mo ago
its a moat vs. other startups and it carried them to multi-B valuation obviously the product needs to deliver and nrr needs to be good in the long run
13.
by ej88 5mo ago
true. we'll see how many ai cos become profit printers a few years from now
14.
by ej88 5mo ago
ai skeptic fanfic evolves in fascinating ways every day
15.
by ej88 5mo ago
hes board chair of openai and is ex co-ceo of salesforce, ex cto of facebook, can get a meeting with any exec in F500... their moat is distribution
16.
by ej88 5mo ago
ime its very implementation dependent but even a simple impl to answer questions can knock out like 50% of callers who are tech-illiterate at 100x cheaper cost, it's just strictly better economics and better for those customers
17.
by ej88 5mo ago
It's always interesting seeing how HN reacts to AI CX (as someone who works in this space). Yes, the tech savvy crowd loves to say how they always ask for a human and love old school phone trees in reality 50-80% of callers come in wit
18.
by ej88 5mo ago
im not sure i understand your reply, but it sounds like you're agreeing with me that yts biggest advantage is the network effect?
19.
by ej88 5mo ago
Ive been preparing somewhat for this, as someone who knows they aren't a top N% engineer. My current role involves a certain amount of sales and product in addition to SWE (and luckily I find it fun to talk to customers!) I think it&#x
20.
by ej88 5mo ago
my main qualm with Ed is his analysis on the financials is decent, but he absolutely refuses to admit that the technology is useful (especially in the hands of competent users), and that all the labs are extremely compute starved due to ove
21.
by ej88 5mo ago
Theres no viable yt alternative because of network effects not the video hosting Those same network effects dont exist (yet) on models
22.
by ej88 5mo ago
sorry, i shouldve defined it better. my point of view is an 'ai pilled' company is one that has a realistic understanding of the benefits and limitations of ai productivity, and leadership + employees are fully bought in, and ther
23.
by ej88 5mo ago
most are not, e.g. if your company has any of these you're probably not ai pilled - mandatory ai usage - ai usage tied to kpis or performance reviews - trainings on how to use claude code - restrictions on what tools you can use - layo
24.
by ej88 5mo ago
"The psychic toll of AI" -- It's sad, but each of these scenarios (barring the AI notetaker, which I haven't found to be an issue personally but ymmv) are indicative more of the culture of the company than the tool itsel
25.
by ej88 5mo ago
in these cases arr = annual run rate, commonly used when your revenue is either going vertical (cursor - good) or your revenue is choppy and full of short term projects (mercor - bad)
26.
The AI-Native Interview(sierra.ai)
4 points by ej88 5mo ago|0 comments
27.
by ej88 5mo ago
alpha is your abnormal rate of return more colloquially it's your 'edge' over your competitors
28.
by ej88 5mo ago
This is cool! Seems like Claude is actually building almost like a layered Figma wireframe that you can do fine grained adjustments afterwards (e.g. adjust font size). Interesting that Canva provided a quote of support. I'm not familia
29.
by ej88 5mo ago
i would say theres more nuance than that (disclaimer: dont have a crystal ball) software engineers who are comfortable doing business work - managing, working with different stakeholders, having product and design taste, being sociable, dri
30.
by ej88 5mo ago
clearly not the same when they were abstracted from the realities of building software and.. directly taking accountability for it! by semantics, i mean the definition and pool of tasks, responsibilities, and outcomes a job is comprised of

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