isaque seneda

evolutionary (expression × branding × product)

PROCESSO44

[isaque seneda @isaqueseneda]

@claudeai today there was a shortage right around the time when I needed to get work done.

i dealt with financial conseq of my subscription not being available.

your auto customer support denied refund for this month.

barely 1 year in already at that level of enshittification?

[Andrej Karpathy @karpathy]

This is the the quote I've been citing a lot recently.

[Olawale Balo @walebuilds_]

We aren’t witnessing the end of design; we’re witnessing the end of the 'pixel-pushing' bottleneck.

Claude Design effectively kills the manual labor of hi-fi prototyping. You can finally move from brainstorm to functional reality in minutes instead of hours.

Less time spent on the 'surface layer' means more time for what actually matters: logic, system architecture, and intent. Huge win for velocity.

[isaque seneda @isaqueseneda]

@DaveShapi thanks for your brain, dude. looking forward to Labor/Zero —just got a copy.

i've been curious to hear your thoughts on the stock market as a whole (as measured by total market ETFs) in a partially AI automated future. are there any videos of yours on that topic?

[Andrej Karpathy @karpathy]

Judging by my tl there is a growing gap in understanding of AI capability.

The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.

But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.

So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.

TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

[isaque seneda @isaqueseneda]

companies be slapping chatbots on their respective legacy steam engines, while AI is actually electricity. then they wonder why productivity isn't doubling.

[Meta Alchemist @meta_alchemist]

This is sick

Inspirational for vibe coders

This is what we love to see instead of the 100th time repeated permanent underclass content some suckers are making.

[Alex Kehr @alexkehr]

https://t.co/xsTOpvuHhy

[David Shapiro (L/0) @DaveShapi]

There were those of us who knew, and showed this.

10 months ago

https://t.co/vZX2V3oktG

[isaque seneda @isaqueseneda]

@xndynmt @PicturesFoIder deleto!!!!!!

[Apple TV @AppleTV]

February 29 is Lumon Employee Appreciation Day.

A letter for those who made quota.

[maddie ogden @maddieogden2]

Just finished The Curse

[isaque seneda @isaqueseneda]

@marinavilhosa @nonbinarybooty MANO ELE TEM QUE DROPAR ESSA!!!!!!

[Jon Erlichman @JonErlichman]

In 2000, Palm was worth more than Apple, Google & Amazon combined.

[Elon Musk @elonmusk]

An example of great interaction between brands 😂 @McDonalds @AXE

[isaque seneda @isaqueseneda]

@henritristo o pai com as criança divorciada vendo gravação 3d no sofá de casa bolado.

[isaque seneda @isaqueseneda]

Lumon industries.

[HOW THINGS WORK @HowThingsWork_]

Chimps are highly intelligent & can often outperform humans at memory tasks such as this. Impressive! 👏�