u/ImaginaryRea1ity

It makes a lot of sense. People who had no one to talk to now had access to a psychologist available 24x7 in their pocket.

A machine which wouldn't judge them.

No wonder number of suicides have gone down since September 2022.

Also, if AI prices go up 10x, will that mean that companies have to start hiring devs?

Can't people just use local AI models on their Macbook?

They use an incredibly shady tactic known as "resume farming" or posting "ghost jobs." They dangle a prestigious, high-level "honey-pot" role that either doesn't exist or isn't actually in their pipeline, entirely to harvest candidate data.

Here is exactly why these agencies pull this bait-and-switch:

• Pitching to Clients: They need to inflate their proprietary talent pool (in this case, on "getclera.com"). It allows them to approach real startups and say, "Hire us as your agency! We already have a massive, active database of top-tier AI and Software engineers." You are the product they are selling.
• Fleshing Out Their CRM: By getting you to casually hand over your resume, salary requirements, and location preferences, they are just doing free data entry for their system. Now they can spam you with lower-tier roles later.

The most effective way to hit them back is to mark their emails as spam. If enough people do this, it damages their domain's email deliverability, and their cold-outreach campaigns will start going straight to people's junk folders.

Since these agency vultures are wasting your time that's the least you can do.

lol

why is AI so expensive? I have started using AI Desktop 98 to use local models on my Mac and save money on tokens.

Jan: 27,223

Feb: 24,631

Mar: 49,452

Apr: 18,385

May: 9,249

March was the worst single month for tech layoffs in over a year.

😂

VR Legend

😂

If you want to survive the AI apocalypse, install AI Desktop 98.

This is a disingenuous argument.

The “pure scaling” argument is a rhetorical shield that swaps out the public claim people actually heard for a much narrower one. In March 2022, Marcus' claim was not “pure scaling won’t get AGI.” It was (title) “Deep Learning Is Hitting a Wall” and (subtitle) “What would it take for artificial intelligence to make real progress?” In the essay, he argued more broadly that current systems were still far from everyday intelligence, and that deep learning was mostly good for low-stakes pattern-matching.[1] That is a broad thesis about the limits of contemporary AI, not just a narrow caveat about pure LLM scaling or AGI (which was mentioned just once)

By June 2022, his claim was already being narrowed. Marcus wrote that “The stuff that isn’t scaling is the ‘wall’” and emphasized the need for new approaches, rather than scale alone. By February 2025, he was explicitly recasting the issue as a claim about “the pure scaling of LLMs.”[2] That is why his arguments often read like a motte and bailey: broad “wall” rhetoric about deep learning followed by narrower scale-alone/AGI language much later, once the systems had become obviously more capable and useful. Besides, "deep learning is hitting a wall" implies an upper limit, which has been the public claim for nearly 10 years.

Regardless, people using AI are not adjudicating a theory of AGI; they are asking whether the systems help them learn faster or get work done. Within 15 days of the “wall” essay, OpenAI introduced DALL·E 2. In November 2022, they launched ChatGPT. In 2024, Anthropic said Claude 3.5 Sonnet outperformed competitor models on a wide range of evaluations. Anthropic now says the majority of its code is written by Claude Code. Even though none of these are AGI, they are precisely the kind of "real progress"(ref: subtitle) users care about, and Marcus has repeatedly claimed would not happen without a paradigm shift.

https://www.linkedin.com/feed/update/urn:li:activity:7459652311582326784/

Pocket Tone: 432 Hz

I got tired of searching the App Store for a simple 432 Hz tone app for meditation and relaxation, only to find that most options were cluttered with subscriptions, ads, or unnecessary in-app purchases for something as basic as playing a healing frequency.

I use 432 Hz regularly for relaxation, healing, and meditation, and I just wanted a clean, straightforward tool without the upsells. So, I decided to build one for myself.

Using AI as part of the development process, I created Pocket Tone: 432 Hz, a minimalist app that does exactly what I wanted:
• Simple interface
• Instant 432 Hz playback
• No unnecessary complexity

What started as a personal solution turned into a real App Store launch. Would genuinely love feedback from anyone interested in meditation, sound healing, or indie app development.

Lives are being lost due to bootcampers and vibe-coders launching buggy, insecure applications.

This cannot stand. Policymakers should act before more people lose their lives. We need to pass laws which ban companies from hiring people who don't have a degree in Computer Science from working in tech.

CEO Brian Armstrong told the world his AI-native engineers were shipping in days what previously took weeks. Days later, an AWS data center overheated and Coinbase went dark. The outage was AWS's fault, but the internet doesn't care, and quickly ratioed him. Seeing that Coinbase missed earnings after layoffs, I don't think AI was the reason these employees were let go. But after announcing that, you've handed every critic a script when your product slips.