And there is so, so much work left to do. Take accessibility as an example. Right now, roughly 95% of websites are inaccessible. And the bad news is that AI has been trained on all of that inaccessible code, so it’s going to be a long time before these tools naturally produce accessible output. That means humans who care about building software that works for everyone, not just the default case, are more important than ever. The work of building software products that are genuinely useful for humans doesn’t seem to be going anywhere any time soon.
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A) The sequence to read and all the generated fragments, with highlighted ddNTP chain terminators, ordered by molecular weight (i.e. length). B) Classical Sanger sequencing. The fragments are separated by electrophoresis and the lighter fragments travel further from the wells at the botom of the gel. Each lane in the gel correpsonds to a specific ddNTP. The radioactivly marked ddNTPs appear as black band in the gel and we can reconstruct the sequence by reading the bands from top to bottom, the column in wich the band appears indicating which base is at each position. C) Automated Sanger sequencing. The fragments are also separated by electrophoresis, as in panel B. Chain terminators are marked with fluorescent markers. When excited by a laser, each ddNTP emits a specific wavelength. This is read by an optical sensor and the corresponding ddNTP is recorded. By exciting each band we can quickly deduce the sequence.