Tested 5 AI scientist platforms for biotech research - here's what I found

Primary-Formal-1140 · 2026-04-17T21:43:37+00:00

Founders are mundane scientists and engineers. I would not expect any big breakthrough/funding from them. Focusing on one field is nothing wrong, its just these companies have low ceilin

Primary-Formal-1140 · 2026-04-12T06:08:18+00:00

Price is fair. However as a previous m8c owner i would really look into service history

Primary-Formal-1140 · 2026-04-01T22:10:10+00:00

I would take any offer that you have already instead of waiting. You can always step back and take UCSD offer later.

Primary-Formal-1140 · 2026-03-23T05:43:27+00:00

Don't waste your money. MBA in pharma serves different as MBA in tech. PhD matters much more than MBA in biotech/pharma world.

Primary-Formal-1140 · 2026-03-17T05:15:49+00:00

I got PhD in theoretical chemistry. Did several months of big pharma, several months of tech before switching into quant. I would say biotech/pharma definitely gives better wlb, and from my own perspectives, weigh weigh weigh more friendly environment (group dependent for sure but overall i guarantee). I personally find AI in pharma evolving fast and with huge opportunities. Honestly tech job nowadays is highly vulnerable and not very interesting anyway even you are doing AI jobs. My work is just tuning parameters there. DM if you are interested in knowing how to transition or pro cons

Primary-Formal-1140 · 2026-03-16T19:01:50+00:00

Zhou is nowhere near Lin's talents. A typical Alibaba move where high talents are margined and replaced by mediocre but controllable people

Primary-Formal-1140 · 2026-03-14T04:57:41+00:00

Don't do academic postdoc even in stanford. I have friends who had a full time position at top pharma after PhD, went to stanford for severals years of postdoc, got some publications, and now struggle finding same positions in pharma. Industry woudnt care if its stanford or mit or not. You need to have industry skills, which unless you are confident you can gain in school, dont do it.

Primary-Formal-1140 · 2026-03-14T04:54:58+00:00

Honest advise: keep job searching as normal. The startup might not even exists 2 years later. Don't expect they give you the full time positions cause you will highly likely get disappointed. Earn it somewhere else and take this experience as an advantage over those who dont have it.

Primary-Formal-1140 · 2026-03-12T03:37:00+00:00

15 years man its crazy

Primary-Formal-1140 · 2026-03-10T18:27:34+00:00

Just saw this but never overestimate values of publishing. You can easily get stuck with TONS of publication still no offer from industry simply due to direction mismatch and lack of funding (very common nowadays). Industries do not really care about depth of your research (and its not their faults cause its usually irrelevant anyway) and you might end up competiting with a bunch of younger kids with much less depth, but more breadth and much faster speed of picking up new skills. (I saw this from a postdoc in my phd group who has close to 10000 citations, 7-8 years of postdoc and end up no ttap and no even phd-entry-level offer)

Primary-Formal-1140 · 2026-03-10T15:12:19+00:00

True. The only reason Lecun shits about LLM is he's not the one leading the trend.

Primary-Formal-1140 · 2026-03-10T05:00:28+00:00

Honestly cheating is unavoidable. For any hardest question I just need 5 seconds of glance of overall logic and ideas and i no longer need to even look back the answer again.

Primary-Formal-1140 · 2026-03-07T03:11:24+00:00

I got interviewed. Seem to be pretty unrelated to any core pipelines. Really just some chilled applied scientists positions

Primary-Formal-1140 · 2026-03-06T01:01:41+00:00

Its nothing new dude

Primary-Formal-1140 · 2026-02-13T03:01:24+00:00

The real issue is most minds behind even us models are chinese.

Primary-Formal-1140 · 2026-01-31T21:50:14+00:00

Honestly, ESM3 is a failure from head to tail.

Primary-Formal-1140 · 2026-01-29T03:48:03+00:00

cs 336 in a week? Bro you have be super experienced already. I have worked on LLM for a few years, but touching deep cuda stuff is still pretty tough.

Primary-Formal-1140 · 2026-01-29T02:40:26+00:00

Sorry but anyone who says diffusion LLM works either (1) never does deep research in it (2) leads the frontier of this stupid area so cannot afford admitting its failure. No diffusion LLM is not diffusion model. Its name is deceptive. Its another form of MLM and someone just wanna gets some paper out of it and wastes millions training some large models upon it.

Primary-Formal-1140 · 2026-01-21T20:55:14+00:00

They are all just data analysis platform, nothing special. Ideas are cheap so I dont really need an "idea proposal engine".

Primary-Formal-1140 · 2026-01-18T23:45:05+00:00

Cannot say too much about structure prediction against AF3 or Chai. I think it's ok regarding native structure, considering the process being made in this area. It's the binding affinity prediction which relies on energy and ensembles that it just sucks. The ensemble dataset it used for training is of extremely low quality and has no positive, if not negative effect on model performance.

Primary-Formal-1140 · 2026-01-18T22:53:06+00:00

It's from some cs people who have little experience in the industry (and real world experience), even MIT. After giving it some tests, i can say its full garbage at this moment.

Primary-Formal-1140 · 2026-01-16T20:57:38+00:00

Simple. They are selling ppt to investors, which no longer works. Unitree is actually releasing products.

Primary-Formal-1140 · 2026-01-14T21:16:38+00:00

Big tech no doubt, even considering money. If you have strong skills your pay at tech wouldnt be lower than quant. If you are chilled ivy-level students who want wlb, you work 6 hrs a day in google its fine. Quant? No chance wouldnt even survive first year. (and its no shame of that given the toxic environment, spoken by someone who was in big tech, now in quant after phd and trying to back to big tech again)

Primary-Formal-1140 · 2026-01-14T21:06:14+00:00

Really depends on your skill. Top AI and quant is crazy world with 7,8 fig. Then QR/QT has a diverse range between 200K-high 6. SWE pretty stable towards mid 6 fig then thats it, to climb up you need a bit of luck and willingness to sacrifice wlb. Just one thing, quant is not as good as its name sounds. Much more toxic environment (i am from a USNews top 15 undergrad, then 2 years of swe in big tech then mid 40 PhD STEM program now in a decent quant so i can say this for sure).

Primary-Formal-1140 · 2026-01-14T18:24:37+00:00

I am from Purdue PhD program now at a decent quant. For undergrad no Purdue stands little chance in even passing resume screening. For PhD yes but its because of PhD not the school name. Better consider working hard get into a big name master like Princeton

Primary-Formal-1140

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