I raised concerns about deficiencies of their RBAC on their Slack before and they immediately started pushing me to their enterprise offering. I thought it was a red flag but have not imagined they would stoop to this.
When we started using them they seemed like a genuine open source. Is there a term for open source traps like that? If not we need to come up with something. Trapware?
It could be argued that acquiring a whole security-focused company is a signal they’re seriously reconsidering their approach to security and deserve a benefit of the doubt.
I might be missing something here, but how does the knowledge pandemic and about the severity of the disease about qualify as insider information? I guess this guy can be accused of not expressing his real beliefs to the public (to contain the panic as he would surely argue), but that is not the same as insider trading.
It really helped in our case. We have a team of 10+ researchers who alse ship code in production. They were repeatedly running into a problem where they recompute same data in runtime, or reinvent the wheel because they didn’t know somebody already computed that datum. I end up writing a small single-process (for now) workflow engine running a “company-wide DAG” of reusable data processing nodes (all derived from user-submitted input + models). Now it is much easier for individuals to contribute + much easier to optimize pipelines separately. I might open source it some time soon.
For such an exciting title, I was a bit disappointed to find another job board in here. Should I apply if I’m not looking for a job but want to participate in a professional community?
Companies doing ML do not and should not base their decisions on some hypothetical considerations about long-term effects on market health, or just present/future hardware cost. They work with what's available. It is market's job to correct. And it surely will now, as current situation becomes more of a problem.
Honestly I don't see where all the sci-fi analogies and Wave comparisons are coming from. I've been using Paper in beta for several months now, and it is nothing more then a slick, streamlined version of the Etherpad , which arguably was a slick and streamlined version of Wave.
It has all the features I used from GDocs, it is convenient and pleasant to look at. Long-form notes are very pleasant to write there. Note-taking aspect of this is definitely something they should explore more.
Nice work! I was playing with exactly this idea for some time. Potentially it could be way bigger than simple grammatical corrections.
My list of things to try, in addition to what you've already done:
- replacing named entities with metadata-annotated tokens;
- dropping random words, not just articles;
- replacing random words with rarer synonyms;
- annotate with POS tags from some external parser;
- run syntax corrector before feeding sentences in grammatical model;
I think this problem is easier that it appears on the surface. Generated deformation does not have to be a perfect replica of typical human errors. It just have to be sufficiently diverse.
Also, I think seq2seq module is getting deprecated, as it doesn't do dynamic rollouts.