Unfortunately it is not sufficient for someone to think "I am immune to marketing" to actually be immune against marketing.
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email: kanzure@gmail.com
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Unfortunately it is not sufficient for someone to think "I am immune to marketing" to actually be immune against marketing.
It gets bad when the subculture inhabitants get confused and adopt the social norms of the passer bys instead of remembering the importance of well-kept gardens. And then they start to introduce "policy".. which is just a backdoor for attackers to destroy your well-kept garden by arguing policy (as if that was what the subculture was about!).
"Synthetic genomes unveil the effects of synonymous recoding" https://www.biorxiv.org/content/10.1101/2024.06.16.599206v1
"Probing the limits of genetic recoding using multi-omics-guided evolution" https://www.nature.com/articles/s41467-026-74300-9
"Escherichia coli with a 57-codon genetic code" https://www.science.org/doi/abs/10.1126/science.ady4368
It is possible to prevent most viruses by recoding the human genome (requires embryo engineering or pre-embryo engineering) to use alternate codons that existing natty viruses don't use. This wouldn't prevent synthetic viruses from being developed that use the alternate codons, of course. See (1) https://diyhpl.us/wiki/transcripts/hgp-write/2016-05-10/ultr... and (2) https://diyhpl.us/wiki/transcripts/hgp-write/2017-05-09/ultr... and (3) https://x.com/RokoMijic/status/1720875112541364535 for some background.
As for "curing cancer", I suspect that Anthropic or OpenAI will use their high status/reputation to launder the existing solutions (germline, p53, enhanced DNA damage repair pathways, higher tumor-suppressor-to-oncogene copy number, more robust tumor-suppressor networks, more self-anti-cancer apoptosis, CD47 suppression, etc) that society has refused to accept. They might have enough reputation to get people to look at these ideas. It won't cure people with stage 5 turbo-cancer a.k.a the walking dead, but hopefully we won't be moving the goal posts _that_ much on them.
I get better results from these models when I ask for the appropriate list of evaluation criteria with a fresh context. If you pollute the context with its first iteration, then you are likely to get a worse result when you ask it to come up with the criteria with the first version in the context. Context contamination can unintentionally narrow the expertise of the inquiry (even for meat humanoids).
It's unfortunate that Cerebras disabled new sign-ups for their coder plans. GLM-4.7 on Cerebras via OpenRouter used to be absolutely amazing...
I am very eager to see 15,000 tokens/second eventually, like Talaas but for higher intelligence models. I know a few people working on ASICs in this direction including open-source projects. It's all extremely exciting.
Um, that's still a tumor.
Some projects ( https://news.ycombinator.com/item?id=46730504 ) are setting a norm to disclose AI usage. Another project simply decided to pause contributions from external parties ( https://news.ycombinator.com/item?id=46642012 ). Instead of accepting driveby pull requests, contributors have to show a proof of work by working with one of the other collaborators.
Another project has started to decline to let users directly open issues ( https://news.ycombinator.com/item?id=46460319 ).
There's definitely an aspect here where the commons or good will effort of collaborators is being infringed upon by external parties who are unintentionally attacking their time and attention with low quality submissions that are now cheaper than ever to generate. It may be necessary to move to a more private community model of collaboration ( https://gnusha.org/pi/bitcoindev/CABaSBax-meEsC2013zKYJnC3ph... ).
edit: Also I applaud the debian project for their recent decision to defer and think harder about the nature of this problem. https://news.ycombinator.com/item?id=47324087
Instead, what we're likely going to get are "voice agents" calling each other when we could have just used email instead...
Another idea is to simply promote the donation of AI credits instead of output tokens. It would be better to donate credits, not outputs, because people already working on the project would be better at prompting and steering AI outputs.
I myself was bitten by a radioactive grad student in 2008 that was obsessed with this idea at the time, and have since learned that almost every major household name lab PI has thought about this in one form or another.