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Anyone else fearing Anthropic more and more each day? Not from a perspective that they are doing so well, but rather that it's like an industry tornado, suckin

Anyone else fearing Anthropic more and more each day? Not from a perspective that they are doing so well, but rather that it's like an industry tornado, sucking up and destroying everything in it's path.

m3kw9 4mo ago
Without Karpathy, the AI field hasn't skipped a beat, but he is certainly a great addition to any team.
raincole 4mo ago
Name three things they destroyed?
- ray_v 4mo ago
  1-3) my free time (too busy using Claude Code)
- nvme0n1p1 4mo ago
  [flagged]
  - raincole 4mo ago
    1. Bun is right there on Github. You can download can use it right now. 2. Sure, that's one thing. 3. Coefficient Bio is not a thing. They don't have a product. Ever. It's just Anthropic hired 10 people for a ridiculous amount of premium bonus. (Time will prove it's a bad decision, btw) 4. (snorts)
    - ahknight 4mo ago
      I believe the Bun reference is the Rust "rewrite" that came up recently.
- srigi 4mo ago
  Not yet, but soon… Bun
- shimman 4mo ago
  Do school girls count?
  - ebbi 4mo ago
    Only if they're Western...
- OkWing99 4mo ago
  1. Figma (in progress) 2. Most entry level jobs for current graduates in white collar fields. (See hiring rates for these positions) 3. Thousands of layoffs (mostly attributed to AI use, while not 100%, the Anthropic's specific marketing push has a huge influence on this - unlike OAI and other labs) 4. All low-code products/startups 5. Web agencies who did small websites for local businesses While AI industry push is there for all of the above, Anthropic's specific marketing/PR is specifically directed towards forced adoption of AI and burning tokens, unlike from other labs.
  - yuhmahp 4mo ago
    These seems to be healthy desctructions, if the market rejects them eventually for a better product
    - jazzyjackson 4mo ago
      But it’s not a better product, it’s just cheaper.
      - rTX5CMRXIfFG 4mo ago
        That’s one person’s opinion, yours, and not the market’s.
        jazzyjackson 4mo ago
        Fair, of course price is a factor in whether one product is better than another, and yes it’s my opinion that things becoming more affordable/junkier, is not always a net increase in quality of life.
  - csa 4mo ago
    > 1. Figma (in progress) Hmmm… maybe. I think not. It really depends on your other claims below, with which I mostly disagree. 2. Most entry level jobs for current graduates in white collar fields. (See hiring rates for these positions) Maybe a small amount. Entry level white collar jobs have a low hiring rate for other reasons, imho. 3. Thousands of layoffs (mostly attributed to AI use, while not 100%, the Anthropic's specific marketing push has a huge influence on this - unlike OAI and other labs) What they say and what the actual reasons are not the same, imho. Correcting for over hiring is the actual main reason. 4. All low-code products/startups Low-code and no-code products in the hands of someone who doesn’t have a developer’s mind and/or experience usually ends up as a mess, and quickly becomes an unusable mess. I know of exactly two people who have done successfully used AI to make a low-code/no-code product. One is just highly motivated and wicked smart. The other did a minor in CS a long time ago (works in a different field). Everyone else shows me a pile of garbage and asks me how to fix it (answer: throw it away and start from scratch). 5. Web agencies who did small websites for local businesses As with 4 above, the only site a local business can make for themselves is one that functions as a business card… at best. Usually it looks more like a business card that a kindergartner made. They simply don’t understand what makes a website good for their business, therefore they cannot direct AI to make it for them. There’s a lot to criticize about AI, imho, but these aren’t on the list.
- 4ashz 4mo ago
  A girl school in Iran (potentially, together with Maven/Palantir).
  - wetpaws 4mo ago
    [dead]
  - mocha_nate 4mo ago
    yikes... jury still out on this one, no?
- hackable_sand 4mo ago
  Karpathy's reputation, it appears.
- chandureddyvari 4mo ago
  I was to talking to a YC founder, his biggest fear is waking up to a new Claude launch making his startup obsolete the next morning. Similar sentiment shared with other startup founders- check on x about all VCs talking about moats against big labs.
- z3ratul163071 4mo ago
  they've destroyed trust completely by constantly screwing paying customers
- LZ_Khan 4mo ago
  LLM's in general have destroyed at least 10 orders of magnitude more than 3 things.
yobid20 4mo ago
its destroyed my codebases with ai slop , errors, and code maintenance nightmares going forward. i feel bad for anyone having to work on ai generated code.
- JoRyGu 4mo ago
  This sounds like something that could have easily been avoided.
gsleblanc 4mo ago
Yes. I think Anthropic's success with claude code + cowork and the way it's shredding through white-collar work is basically cementing the thesis of Geoffrey Hinton's latest paper (https://link.springer.com/content/pdf/10.1007/s12559-026-10569-8.pdf https://link.springer.com/content/pdf/10.1007/s12559-026-105...). I highly recommend reading it in full, but briefly: 1. Copernican Revolution -> We aren't the center of the universe 2. The Darwinian Revolution -> We aren't the pinnacle of life 3. The Freudian Revolution -> We aren't even in control of our own minds 4. The "Intuitive AI" Revolution -> We aren't the only form of intelligence I think even a month ago I would've read this article and scoffed, but having used Claude Code almost exclusively at work for the last couple months it seems pretty undeniable that in-context-learning and a good enough harness is all you need to displace most "thinking" jobs that require just a bachelors. The hundreds of billions of dollars pouring into data center build-out basically hinges on this thesis, and frankly I trust the judgements of the billionaires financing these deals better than LLM-naysayers on hackernews (not to mention the non-public info they have access to). You don't need to reach superintelligence to still deeply, deeply affect society, and I think Anthropic was the first to build products that are actually good enough and, critically, hands-off enough to do just this. Every day it's clearer and clearer to me that "I was born into a poor family but am relatively intelligent and good at learning things, therefore I can find success" is exactly what will ultimately be eliminated as the outcome of this unless we get the government to step in and regulate. I could go on and on, but the main point I'm trying to make is that you should definitely examine unease you feel about Anthropic, consider framing that unease in the context of Hinton's argument, and ask yourself what the implications may be.
- hn_throwaway_99 4mo ago
  > The hundreds of billions of dollars pouring into data center build-out basically hinges on this thesis, and frankly I trust the judgements of the billionaires financing these deals better than LLM-naysayers on hackernews (not to mention the non-public info they have access to). I actually think both perspectives can be true. If you look at (IMO) the most rational takes of "LLM-naysayers on hackernews", it's not that LLMs are useless, but it's that they're still just tools, and while they can do a lot of high-level "rearranging of past experience" that looks an awful lot like intelligence, human intelligence is still required for lots of higher level thinking tasks, and there look to be limits to the "just scale" approach. The problem is there are still tons of jobs that actually don't require much high-level, human-only thinking where it's easy to see a clear path where AI obliterates all those jobs pretty quickly. Automating those jobs will still be probably one of the largest wealth transfers in history from labor to capital.
danny_codes 4mo ago
Not really. I mean it’s not like they are particularly far ahead. Maybe a small lead on model performance, but nothing particularly significant. All the major players are within 6 months of each other. As soon as model improvements plateau there will be no observable difference between providers.

m3kw9 4mo ago

Without Karpathy, the AI field hasn't skipped a beat, but he is certainly a great addition to any team.

raincole 4mo ago

Name three things they destroyed?

ray_v 4mo ago
1-3) my free time (too busy using Claude Code)
nvme0n1p1 4mo ago
[flagged]
- raincole 4mo ago
  1. Bun is right there on Github. You can download can use it right now. 2. Sure, that's one thing. 3. Coefficient Bio is not a thing. They don't have a product. Ever. It's just Anthropic hired 10 people for a ridiculous amount of premium bonus. (Time will prove it's a bad decision, btw) 4. (snorts)
  - ahknight 4mo ago
    I believe the Bun reference is the Rust "rewrite" that came up recently.
srigi 4mo ago
Not yet, but soon… Bun
shimman 4mo ago
Do school girls count?
- ebbi 4mo ago
  Only if they're Western...
OkWing99 4mo ago
1. Figma (in progress) 2. Most entry level jobs for current graduates in white collar fields. (See hiring rates for these positions) 3. Thousands of layoffs (mostly attributed to AI use, while not 100%, the Anthropic's specific marketing push has a huge influence on this - unlike OAI and other labs) 4. All low-code products/startups 5. Web agencies who did small websites for local businesses While AI industry push is there for all of the above, Anthropic's specific marketing/PR is specifically directed towards forced adoption of AI and burning tokens, unlike from other labs.
- yuhmahp 4mo ago
  These seems to be healthy desctructions, if the market rejects them eventually for a better product
  - jazzyjackson 4mo ago
    But it’s not a better product, it’s just cheaper.
    - rTX5CMRXIfFG 4mo ago
      That’s one person’s opinion, yours, and not the market’s.
      - jazzyjackson 4mo ago
        Fair, of course price is a factor in whether one product is better than another, and yes it’s my opinion that things becoming more affordable/junkier, is not always a net increase in quality of life.
- csa 4mo ago
  > 1. Figma (in progress) Hmmm… maybe. I think not. It really depends on your other claims below, with which I mostly disagree. 2. Most entry level jobs for current graduates in white collar fields. (See hiring rates for these positions) Maybe a small amount. Entry level white collar jobs have a low hiring rate for other reasons, imho. 3. Thousands of layoffs (mostly attributed to AI use, while not 100%, the Anthropic's specific marketing push has a huge influence on this - unlike OAI and other labs) What they say and what the actual reasons are not the same, imho. Correcting for over hiring is the actual main reason. 4. All low-code products/startups Low-code and no-code products in the hands of someone who doesn’t have a developer’s mind and/or experience usually ends up as a mess, and quickly becomes an unusable mess. I know of exactly two people who have done successfully used AI to make a low-code/no-code product. One is just highly motivated and wicked smart. The other did a minor in CS a long time ago (works in a different field). Everyone else shows me a pile of garbage and asks me how to fix it (answer: throw it away and start from scratch). 5. Web agencies who did small websites for local businesses As with 4 above, the only site a local business can make for themselves is one that functions as a business card… at best. Usually it looks more like a business card that a kindergartner made. They simply don’t understand what makes a website good for their business, therefore they cannot direct AI to make it for them. There’s a lot to criticize about AI, imho, but these aren’t on the list.
4ashz 4mo ago
A girl school in Iran (potentially, together with Maven/Palantir).
- wetpaws 4mo ago
  [dead]
- mocha_nate 4mo ago
  yikes... jury still out on this one, no?
hackable_sand 4mo ago
Karpathy's reputation, it appears.
chandureddyvari 4mo ago
I was to talking to a YC founder, his biggest fear is waking up to a new Claude launch making his startup obsolete the next morning. Similar sentiment shared with other startup founders- check on x about all VCs talking about moats against big labs.
z3ratul163071 4mo ago
they've destroyed trust completely by constantly screwing paying customers
LZ_Khan 4mo ago
LLM's in general have destroyed at least 10 orders of magnitude more than 3 things.

yobid20 4mo ago

its destroyed my codebases with ai slop , errors, and code maintenance nightmares going forward. i feel bad for anyone having to work on ai generated code.

JoRyGu 4mo ago
This sounds like something that could have easily been avoided.

gsleblanc 4mo ago

Yes. I think Anthropic's success with claude code + cowork and the way it's shredding through white-collar work is basically cementing the thesis of Geoffrey Hinton's latest paper (https://link.springer.com/content/pdf/10.1007/s12559-026-10569-8.pdf https://link.springer.com/content/pdf/10.1007/s12559-026-105...). I highly recommend reading it in full, but briefly: 1. Copernican Revolution -> We aren't the center of the universe 2. The Darwinian Revolution -> We aren't the pinnacle of life 3. The Freudian Revolution -> We aren't even in control of our own minds 4. The "Intuitive AI" Revolution -> We aren't the only form of intelligence I think even a month ago I would've read this article and scoffed, but having used Claude Code almost exclusively at work for the last couple months it seems pretty undeniable that in-context-learning and a good enough harness is all you need to displace most "thinking" jobs that require just a bachelors. The hundreds of billions of dollars pouring into data center build-out basically hinges on this thesis, and frankly I trust the judgements of the billionaires financing these deals better than LLM-naysayers on hackernews (not to mention the non-public info they have access to). You don't need to reach superintelligence to still deeply, deeply affect society, and I think Anthropic was the first to build products that are actually good enough and, critically, hands-off enough to do just this. Every day it's clearer and clearer to me that "I was born into a poor family but am relatively intelligent and good at learning things, therefore I can find success" is exactly what will ultimately be eliminated as the outcome of this unless we get the government to step in and regulate. I could go on and on, but the main point I'm trying to make is that you should definitely examine unease you feel about Anthropic, consider framing that unease in the context of Hinton's argument, and ask yourself what the implications may be.

hn_throwaway_99 4mo ago
> The hundreds of billions of dollars pouring into data center build-out basically hinges on this thesis, and frankly I trust the judgements of the billionaires financing these deals better than LLM-naysayers on hackernews (not to mention the non-public info they have access to). I actually think both perspectives can be true. If you look at (IMO) the most rational takes of "LLM-naysayers on hackernews", it's not that LLMs are useless, but it's that they're still just tools, and while they can do a lot of high-level "rearranging of past experience" that looks an awful lot like intelligence, human intelligence is still required for lots of higher level thinking tasks, and there look to be limits to the "just scale" approach. The problem is there are still tons of jobs that actually don't require much high-level, human-only thinking where it's easy to see a clear path where AI obliterates all those jobs pretty quickly. Automating those jobs will still be probably one of the largest wealth transfers in history from labor to capital.

danny_codes 4mo ago

Not really. I mean it’s not like they are particularly far ahead. Maybe a small lead on model performance, but nothing particularly significant. All the major players are within 6 months of each other. As soon as model improvements plateau there will be no observable difference between providers.