fny

I'm not sure it matters what anyone claims. It's easy to use and experience its abilities and limitations.

Tesla is already publically traded. It's valuation depends on investors buying into Musks vision.

As a rule, investors optimize for long term growth since that's what maximizes valuations. All the megacap companies are judged by future growth.

The effect is companies tend to exaggerate and lie about what they can achieve in the long term to juice their own stock. Elon's def got the juice.

It's important to keep in mind Cisco made a billion AI and cybersec acquisitions in the past few years and they've downsized to 2022 levels.

This is not an AI job elimination story. I think the next recession will trigger that. The AI hype train ironically needs engineers of all stripes to run.

Of course not, but the expected return should be positive in the long run, no? Otherwise, you might as well donate to an existing university or research lab.

It's possible to rely on mouth movements instead of sound. I've been tweaking visual speech recognition models (VSR) for the past few weeks so that I can "talk" to my agents at the office without pissing everyone off. It works okay. Limiting language to "move this" "clear that" along side context cues vastly simplifies the problem and makes it far more possible on device.

I think its brilliant UX.

The responsible alternative to not going is to return capital to your share holders who can then do the goose hunting themselves, and management should in invest their personal stock into other companies.

For very human reasons, they thing they have a better chance of finding the goose themselves.

TLDR is that the attacker leveraged actions/cache to cache a poisoned pnpm store which contains something that will be triggered during the package.json lifecycle. All it required was for someone to merge any PR to run whats in the cache trigger the second stage of the exploit: mint an OIDC token, build evil tarballs, and publish.

Secret: "compile" that orchestration prompt. Determinism is solved by turning prompts into code that can in turn run agents or run code or both.

Everyone misses this pattern with skills: you can just drop code alongside a SKILL.md to guarantee certain behaviors, but for some reason everyone's addicted to writing prompts. You don't even need to build a CLI. A simple skill.py with tasks does it. You can even have helpers that call `claude -p`!

This is why cooldowns have space for patches.

The list doesn't corroborate that. The international component seems important.

It's also not a sale of any sort. They're asking for pledges and have an accredited investor question.

I think this applies to everyone. There's a lot of ego and pride that people can't shake.

Usually, the copy and structure of a landing page is dictated by founders or marketing folks. Sales people also make this mistake on their slides. They have too many slides about a fancy team, fancy product, and fancy features -- then maybe they show a tailored use case or two.

I highly recommend Donald Miller's Marketing Made Simple as an antidote.

> At the same time, 79 percent of those surveyed by Gallup “expressed concern that AI makes people lazier,” and 65 percent said that using chatbots “promotes instant gratification, not real understanding” and prevents people from engaging with ideas in a critical or meaningful way.

I don't see how these and other sentiments are unique to Gen Z at all.

The difference I've seen is that many zoomers have given up on learning in the first place. "What's the point?"

You can sign ZDR agreements with any of the major LLM providers. Using AWS alone is also not sufficient. Even though AWS is running the model, you need to contact them for proper ZDR.[0]

[0]: https://platform.claude.com/docs/en/build-with-claude/claude...

Who here remembers the fud of Y2K?

None of this is summarized in the posted article. It's in the research paper which I didn't read because the article seemed like fluff.

Headline is megaclickbait. The research is about how healthier gut microbiomes correlate with improved pooping and nothing about how it impacts your health.

I'm going to suggest what's going on here is Hanlon's Razor for models: "Never attribute to malice that which is adequately explained by a model's stupidity."

In my opinion, we've reached some ceiling where more tokens lead only to incremental improvements. A conspiracy seems unlikely given all providers are still competing for customers and a 50% token drives infra costs up dramatically too.

I've been very happy with agentmail.to for a while with great success. You get 3K free emails per month with 3 inboxes. Paid tier starts at $0.20 per 1000 emails.

Disclaimer: I don't work for agentmail.

Vue (my favorite) and Svelte do well.

You'd be surprised. With React, Claude can get twisted in knots mostly because React lends itself to a pile of spaghetti code.

I used it, found it buggy, and quickly realized I could achieve everything it did with a long running Claude Code instance and a good mobile frontend. The joy is that you can customize everything to your hearts content just by asking Claude to build things for you.

- Background jobs? Cron? Huey + SQLite

- Memory? Create a job to write daily summaries to a memory/ folder

- Conversation log? Use hooks to write conversations to an sqlite file with full text search enabled

- SOUL.md? IDENTITY.md? USER.md? Stop wasting tokens and just use CLAUDE.md.

I only haven't quite figured out how to get channels working with 3rd party frontends.

I highly recommend everyone actually read the opinion. It's such a thorough legal takedown of Heppner, you'll learn how the law works and why it doesn't apply to a lot of the made up cases in this thread:

TLDR:

- Claude told him IANAL

- Claude privacy policies say they "may disclose personal data to third parties in connection with claims, disputes, or litigation"

- Work product doctrine, does not apply in the same way to plaintiffs

- Lawyers did not direct him to use Claude (i.e. the laywers did not direct him to do research for the case using a specific tool)

My takeaway is that, as is, I should not do any work without a VPN or in plaintext. Everything else was up for grabs even before this case.

> “Plaintiff, as a pro se litigant, has a right to assert work product protection over such material.”

This just argues attorneys have this protection--which is true. Typical plaintiff's do not have the same level of protection.

Why is everyone so damn obsessed with the singularity? You don't need superintelligence to disrupt humanity. We easily have enough advancement to change the economy dramatically as is. The adoption isn't there yet.

Aside from the obvious "AI can't see" criticism, AI sucks at frontend because frontend sucks. Why does frontend suck? Churn.

To quote the article:

1. "It trained on ancient garbage" which is the by product of massive churn and this attitude leads to even more churn

2. "It doesn't know WHY we do things" because we don't either... even the paradigms used in frontend dev have needlessly churned

My fix? I switched from React/Next to Vue/Nuxt. The React ecosystem is by far the worst offender.

This is covered well in the article too. See "The Right Tool for the Job" and "Connectors vs. Manuals."

Perhaps the title is just clickbait. :)

Why not code in assembly?

I kid but any reason you can think of applies to app development too.

1. Good abstractions decrease verbosity and improve comprehension

2. Raw HTML/CSS/JS are out of distribution just like assembly (no one builds apps like this)

3. Humans need to understand and audit it

4. You'll waste time and tokens reinventing wheels

This inuitively makes sense. LLMs mimic human behavior and thought, so for all the reasons you'd get lost in a pile of web spaghetti or x86, so would an LLM.

Dihydrogen monoxide - a constituent of many known toxic substances, diseases and disease-causing agents[0]

[0]: https://www.dhmo.org/

Voltai | San Francisco | ONSITE | Full-time

We're hackers, researchers, and operators obsessed with building AI for electronic systems and semiconductors. Our team includes former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. Despite the name drops, we care far more about execution than titles.

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