1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,450 --> 00:00:09,070 [Applause] 3 00:00:12,440 --> 00:00:11,460 this ain't a thank you everybody for 4 00:00:14,480 --> 00:00:12,450 being here today 5 00:00:17,000 --> 00:00:14,490 I thought the title would be better if I 6 00:00:18,200 --> 00:00:17,010 wrote this way what I'm going to talk 7 00:00:22,280 --> 00:00:18,210 about today what I would like to 8 00:00:24,109 --> 00:00:22,290 compress my 15 minutes is the results of 9 00:00:26,510 --> 00:00:24,119 some ideas that we've been developing 10 00:00:28,880 --> 00:00:26,520 trying to understand why we have life in 11 00:00:31,460 --> 00:00:28,890 the universe and all and in particular 12 00:00:35,000 --> 00:00:31,470 in the earth and what we attack we've 13 00:00:36,920 --> 00:00:35,010 taken is trying to actually mimic what 14 00:00:39,740 --> 00:00:36,930 we see in life some of the features that 15 00:00:42,799 --> 00:00:39,750 we see in life maybe mimic them without 16 00:00:45,649 --> 00:00:42,809 actually looking without actually using 17 00:00:50,060 --> 00:00:45,659 biochemistry so I see that I have that 18 00:00:52,100 --> 00:00:50,070 there I can so let's look at the 19 00:00:53,840 --> 00:00:52,110 enormous complexity that we do see in 20 00:00:56,390 --> 00:00:53,850 life this is a humbling experience for 21 00:00:58,520 --> 00:00:56,400 anybody who looks at it but we can get 22 00:01:00,979 --> 00:00:58,530 out of it a few lessons one of them is 23 00:01:04,009 --> 00:01:00,989 that of course all life is based on and 24 00:01:06,500 --> 00:01:04,019 is and uses standard physical chemical 25 00:01:08,060 --> 00:01:06,510 processes but when we look at the 26 00:01:11,570 --> 00:01:08,070 previous transparency we see that there 27 00:01:14,959 --> 00:01:11,580 is a huge a jumping complexity from in 28 00:01:17,240 --> 00:01:14,969 in life itself but even more since life 29 00:01:19,550 --> 00:01:17,250 is based on chemistry there is a huge 30 00:01:21,200 --> 00:01:19,560 jump from regular chemistry or inorganic 31 00:01:24,289 --> 00:01:21,210 chemistry for example to biochemistry 32 00:01:26,120 --> 00:01:24,299 and even on to life so we asked 33 00:01:27,980 --> 00:01:26,130 ourselves the question a few years ago 34 00:01:30,499 --> 00:01:27,990 we asked ourself the question could we 35 00:01:32,419 --> 00:01:30,509 build chemical functional complexity in 36 00:01:34,459 --> 00:01:32,429 the laboratory from simple chemical 37 00:01:38,660 --> 00:01:34,469 systems who are from simple chemical 38 00:01:40,940 --> 00:01:38,670 parts and we decided my training is that 39 00:01:43,099 --> 00:01:40,950 of a physicist and the thinking that 40 00:01:45,410 --> 00:01:43,109 underlies a lot of what I do is it's got 41 00:01:47,359 --> 00:01:45,420 to do with that training and I am not 42 00:01:51,739 --> 00:01:47,369 apologizing but I'm saying I'm not a 43 00:01:53,809 --> 00:01:51,749 chemist then a the track the track that 44 00:01:58,069 --> 00:01:53,819 we decided to take would be attack where 45 00:02:00,889 --> 00:01:58,079 we actually go from the top down or from 46 00:02:04,399 --> 00:02:00,899 outside in there is a confusion on the 47 00:02:06,739 --> 00:02:04,409 use of those terms so and first try to 48 00:02:10,999 --> 00:02:06,749 see what the metric would be that we 49 00:02:12,530 --> 00:02:11,009 would understand for life so a chemical 50 00:02:15,110 --> 00:02:12,540 system which is capable of handling 51 00:02:17,000 --> 00:02:15,120 information which is kept capable of 52 00:02:19,850 --> 00:02:17,010 metabolizing that is to say in this 53 00:02:22,670 --> 00:02:19,860 context making its own parts and it's 54 00:02:25,370 --> 00:02:22,680 capable of executing programming program 55 00:02:27,340 --> 00:02:25,380 self-replication and evolving we would 56 00:02:30,020 --> 00:02:27,350 call that if it is based in chemistry 57 00:02:32,150 --> 00:02:30,030 something like a mimic of life if it is 58 00:02:34,820 --> 00:02:32,160 not basing biochemistry as we know it 59 00:02:37,190 --> 00:02:34,830 here so we went ahead and we studied a 60 00:02:38,870 --> 00:02:37,200 asking ourselves a question which is the 61 00:02:42,650 --> 00:02:38,880 typical question a physicist would ask 62 00:02:45,050 --> 00:02:42,660 is how do we represent those four 63 00:02:47,840 --> 00:02:45,060 properties and how we would represent 64 00:02:50,180 --> 00:02:47,850 them with equations this is a attack 65 00:02:52,850 --> 00:02:50,190 which is often used in hospitals 66 00:02:56,840 --> 00:02:52,860 throughout history in in physics 67 00:02:58,730 --> 00:02:56,850 Maxwell's equations a many other type of 68 00:03:00,650 --> 00:02:58,740 considerations having to do with the 69 00:03:02,270 --> 00:03:00,660 description of gravitation of phenomena 70 00:03:04,310 --> 00:03:02,280 or elementary particles and so on and so 71 00:03:06,790 --> 00:03:04,320 forth so we are worth trying to actually 72 00:03:09,230 --> 00:03:06,800 write down some sets of equations 73 00:03:11,900 --> 00:03:09,240 preferably simple equations with simple 74 00:03:13,580 --> 00:03:11,910 hypothesis minimum in all senses that 75 00:03:16,130 --> 00:03:13,590 are actually that would actually be able 76 00:03:17,600 --> 00:03:16,140 to represent those properties those 77 00:03:23,870 --> 00:03:17,610 properties can be associated with a 78 00:03:26,540 --> 00:03:23,880 number of each of behaviors that can be 79 00:03:30,410 --> 00:03:26,550 encapsulated in terms of a couple of a 80 00:03:32,900 --> 00:03:30,420 couple of two metal functions one for 81 00:03:34,580 --> 00:03:32,910 example in which we call V which would 82 00:03:37,910 --> 00:03:34,590 represent the living cell is this would 83 00:03:39,860 --> 00:03:37,920 be the simplest a conception and then 84 00:03:42,350 --> 00:03:39,870 another another variable which we would 85 00:03:45,080 --> 00:03:42,360 represent us the food u in this case if 86 00:03:47,600 --> 00:03:45,090 that was the case I mean U and V would 87 00:03:50,020 --> 00:03:47,610 have to represent the properties that we 88 00:03:52,520 --> 00:03:50,030 just mentioned those four properties 89 00:03:54,500 --> 00:03:52,530 then when we need to have them interact 90 00:03:56,870 --> 00:03:54,510 in different ways we would have in order 91 00:03:59,030 --> 00:03:56,880 for them to handle information they 92 00:04:01,130 --> 00:03:59,040 would have to interact linearly and 93 00:04:03,620 --> 00:04:01,140 quadratically in order for them to do a 94 00:04:05,720 --> 00:04:03,630 metabolism they would have to be a 95 00:04:08,210 --> 00:04:05,730 quadratically interacting as you see 96 00:04:10,009 --> 00:04:08,220 there in the in their kinetics in order 97 00:04:12,110 --> 00:04:10,019 to have self replication or generating 98 00:04:13,880 --> 00:04:12,120 which is in some sense equivalent to 99 00:04:16,130 --> 00:04:13,890 generate internal patterns they would 100 00:04:17,960 --> 00:04:16,140 have to be cubic in the ways you see 101 00:04:20,420 --> 00:04:17,970 there for example and in order to have 102 00:04:23,540 --> 00:04:20,430 evolution as for example pointed out by 103 00:04:25,159 --> 00:04:23,550 Viggo and eigen and you would need to 104 00:04:26,990 --> 00:04:25,169 have two feedback books in order to have 105 00:04:28,589 --> 00:04:27,000 adaptive behavior in a random 106 00:04:32,909 --> 00:04:28,599 environment so we're gonna head 107 00:04:34,529 --> 00:04:32,919 and back in 2003 we wrote a set of 108 00:04:35,969 --> 00:04:34,539 equations so let me see if I can make 109 00:04:38,010 --> 00:04:35,979 this thing work I don't know if I will 110 00:04:41,779 --> 00:04:38,020 be able to but it would be what I'm 111 00:04:46,529 --> 00:04:41,789 trying to do is to nope bummer 112 00:04:48,570 --> 00:04:46,539 how do I get the movie going there is a 113 00:04:52,709 --> 00:04:48,580 movement here do you have it in a 114 00:04:54,749 --> 00:04:52,719 computer somewhere click on it where 115 00:04:58,739 --> 00:04:54,759 there it goes he's got it now thank you 116 00:05:01,290 --> 00:04:58,749 oh yeah thank you there are a few more 117 00:05:02,760 --> 00:05:01,300 movies coming so this is to put the 118 00:05:04,199 --> 00:05:02,770 solutions to those equations in 119 00:05:06,600 --> 00:05:04,209 particular with a particular set of 120 00:05:10,199 --> 00:05:06,610 parameters do and you can see that there 121 00:05:15,629 --> 00:05:10,209 is the create the generation of a series 122 00:05:19,260 --> 00:05:15,639 of a generation of it can you click 123 00:05:21,540 --> 00:05:19,270 again if you don't mind a general out of 124 00:05:23,309 --> 00:05:21,550 the food that general you begin to 125 00:05:26,459 --> 00:05:23,319 generate systems which actually 126 00:05:28,169 --> 00:05:26,469 replicate sometimes they die and for 127 00:05:29,969 --> 00:05:28,179 this particular set of parameters there 128 00:05:31,799 --> 00:05:29,979 is noise in the system for this 129 00:05:36,029 --> 00:05:31,809 particular set of parameters then there 130 00:05:37,829 --> 00:05:36,039 is a but a noise value or a property of 131 00:05:39,659 --> 00:05:37,839 the noise which actually generates an 132 00:05:42,299 --> 00:05:39,669 optimum number of spots which actually 133 00:05:45,029 --> 00:05:42,309 are in homeostatic equilibrium with the 134 00:05:47,779 --> 00:05:45,039 environment in which they are so we said 135 00:05:51,119 --> 00:05:47,789 hmm this is interesting how do we 136 00:05:53,040 --> 00:05:51,129 actually general what how do we 137 00:05:56,790 --> 00:05:53,050 generalize those equations to also 138 00:05:59,489 --> 00:05:56,800 include something like waste so we added 139 00:06:03,449 --> 00:05:59,499 a waste and from two equations we went 140 00:06:05,579 --> 00:06:03,459 to three and then we began to in a can 141 00:06:09,629 --> 00:06:05,589 you click on this movie also sorry to 142 00:06:13,199 --> 00:06:09,639 keep you busy and there is no change in 143 00:06:14,879 --> 00:06:13,209 the general behavior so we then said can 144 00:06:16,049 --> 00:06:14,889 we click again so that we stopped it 145 00:06:19,439 --> 00:06:16,059 thank you 146 00:06:21,869 --> 00:06:19,449 then we said what can we do with this if 147 00:06:23,850 --> 00:06:21,879 can we use chemistry some sort some 148 00:06:26,459 --> 00:06:23,860 chemistry to actually somehow generate 149 00:06:28,439 --> 00:06:26,469 this type of behaviors that is to say 150 00:06:31,589 --> 00:06:28,449 how do we interpret those equations we 151 00:06:34,319 --> 00:06:31,599 just wrote down so we went ahead with 152 00:06:35,399 --> 00:06:34,329 that and going fast by the way if 153 00:06:37,529 --> 00:06:35,409 anybody wants to have this 154 00:06:39,540 --> 00:06:37,539 transparencies just send me an email and 155 00:06:41,080 --> 00:06:39,550 I'll be happy to send it to you in the 156 00:06:43,210 --> 00:06:41,090 movies or whatever you want 157 00:06:45,310 --> 00:06:43,220 so then we took a cue this is just to 158 00:06:48,700 --> 00:06:45,320 break a little bit the the Train of the 159 00:06:50,860 --> 00:06:48,710 of the talk a cue from another for from 160 00:06:52,240 --> 00:06:50,870 a Spaniard who said that everything you 161 00:06:54,220 --> 00:06:52,250 can imagine is real I don't know how 162 00:06:55,750 --> 00:06:54,230 many bottles of wine he drank but when 163 00:06:58,450 --> 00:06:55,760 he said that but I would say with the 164 00:07:01,510 --> 00:06:58,460 help of the Civic method and that then I 165 00:07:03,129 --> 00:07:01,520 would even almost agree with him and of 166 00:07:04,659 --> 00:07:03,139 course you can imagine you can write a 167 00:07:06,159 --> 00:07:04,669 questions you can imagine many things 168 00:07:08,710 --> 00:07:06,169 but for example even if you have mass 169 00:07:10,780 --> 00:07:08,720 Wells equations they do not contain the 170 00:07:13,240 --> 00:07:10,790 radio or the microwave oven you have to 171 00:07:15,129 --> 00:07:13,250 do much more than just equations so in 172 00:07:18,310 --> 00:07:15,139 this quest to try and represent this 173 00:07:20,469 --> 00:07:18,320 system with a non chemistry we 174 00:07:22,150 --> 00:07:20,479 discovered that our equations are very 175 00:07:25,060 --> 00:07:22,160 similar to the brew so later the oregano 176 00:07:26,379 --> 00:07:25,070 boost later or regular model of the sila 177 00:07:28,330 --> 00:07:26,389 Tory builds of several things clear 178 00:07:30,490 --> 00:07:28,340 reaction and we say ah so that's what we 179 00:07:32,830 --> 00:07:30,500 need to study the first thing that we 180 00:07:35,140 --> 00:07:32,840 would need to study is to see if you 181 00:07:36,969 --> 00:07:35,150 could actually handle information using 182 00:07:39,159 --> 00:07:36,979 the values of salt in scale reaction and 183 00:07:41,469 --> 00:07:39,169 the answer is yes I'm going to use two 184 00:07:44,920 --> 00:07:41,479 transparencies very quickly and the less 185 00:07:49,150 --> 00:07:44,930 the less a idea is to show you very 186 00:07:50,740 --> 00:07:49,160 quickly how a chemical to new machine 187 00:07:51,250 --> 00:07:50,750 would look like you would have a reactor 188 00:07:56,909 --> 00:07:51,260 like this 189 00:08:04,659 --> 00:08:00,130 sorry so you would have a reactor like 190 00:08:08,820 --> 00:08:04,669 this here can you start it again at the 191 00:08:14,290 --> 00:08:08,830 bottom and you would AK you would add 192 00:08:16,629 --> 00:08:14,300 letters just ask you a CT or G and then 193 00:08:19,750 --> 00:08:16,639 the letters will change the state of the 194 00:08:22,290 --> 00:08:19,760 reaction you saw a pipette and then the 195 00:08:24,820 --> 00:08:22,300 reaction is a nonlinear reaction and 196 00:08:27,040 --> 00:08:24,830 when you add another type another 197 00:08:30,940 --> 00:08:27,050 reactant in this case B which is malonic 198 00:08:35,589 --> 00:08:30,950 acid to a reaction with a the vessel 199 00:08:37,029 --> 00:08:35,599 already contained a bromate and then you 200 00:08:38,500 --> 00:08:37,039 see you begin to see how there are 201 00:08:40,240 --> 00:08:38,510 oscillations this is typical of 202 00:08:42,070 --> 00:08:40,250 nonlinear chemistry relaxation 203 00:08:43,990 --> 00:08:42,080 oscillations the amplitude changes as 204 00:08:46,630 --> 00:08:44,000 you change this the amplitude changes 205 00:08:48,730 --> 00:08:46,640 etc and then what you end up finding is 206 00:08:50,560 --> 00:08:48,740 that depending on the order of the 207 00:08:53,020 --> 00:08:50,570 letters and the amount of the letters 208 00:08:54,120 --> 00:08:53,030 that you put you do get an acceptance or 209 00:08:56,190 --> 00:08:54,130 rejection of 210 00:08:58,680 --> 00:08:56,200 sequence that is precisely where the 211 00:09:02,160 --> 00:08:58,690 Turing machine Dasom if your machine is 212 00:09:03,990 --> 00:09:02,170 capable of recognizing a sequence in a 213 00:09:06,750 --> 00:09:04,000 particular language and the language the 214 00:09:08,310 --> 00:09:06,760 complexity of the language is such that 215 00:09:09,690 --> 00:09:08,320 it has to belong to a certain class in 216 00:09:11,430 --> 00:09:09,700 that case you say you have a Turing 217 00:09:12,870 --> 00:09:11,440 machine the machine of course that 218 00:09:15,570 --> 00:09:12,880 theoretical Turing machine has an 219 00:09:18,480 --> 00:09:15,580 infinite tape that's not possible to 220 00:09:20,640 --> 00:09:18,490 make but a real physical tuned machine 221 00:09:22,590 --> 00:09:20,650 like this you can build so with this the 222 00:09:25,110 --> 00:09:22,600 lesson a we take from this is that you 223 00:09:26,520 --> 00:09:25,120 can actually use chemistry a to a 224 00:09:29,580 --> 00:09:26,530 process information in the form of 225 00:09:31,320 --> 00:09:29,590 nonlinear chemistry so then we and we 226 00:09:33,240 --> 00:09:31,330 put together because to process 227 00:09:35,610 --> 00:09:33,250 information you would need to have some 228 00:09:37,680 --> 00:09:35,620 a free energy gradient in such a way 229 00:09:39,450 --> 00:09:37,690 that the entropy in the system and the 230 00:09:41,220 --> 00:09:39,460 and the information can be exchanged and 231 00:09:43,140 --> 00:09:41,230 for that you you would need to have a 232 00:09:46,710 --> 00:09:43,150 gradient of free energy I just said can 233 00:09:48,120 --> 00:09:46,720 you make a membrane that from a system 234 00:09:51,050 --> 00:09:48,130 where there were no memories can you 235 00:09:54,020 --> 00:09:51,060 make a membrane and have the system self 236 00:09:57,690 --> 00:09:54,030 encapsulated itself and we did that we 237 00:10:00,030 --> 00:09:57,700 learned about it a field which is 238 00:10:01,920 --> 00:10:00,040 copolymerization use service Emily 239 00:10:03,680 --> 00:10:01,930 techniques which cost per unit session 240 00:10:07,380 --> 00:10:03,690 your service and Bullock where you start 241 00:10:10,290 --> 00:10:07,390 with a hydrophilic polymer with a small 242 00:10:13,160 --> 00:10:10,300 molecule attached here and then in under 243 00:10:16,140 --> 00:10:13,170 certain conditions and certain a a 244 00:10:18,360 --> 00:10:16,150 catalyst including ruthenium which is 245 00:10:20,610 --> 00:10:18,370 also the catalyst for the BC reaction 246 00:10:23,610 --> 00:10:20,620 you can actually begin to add monomers 247 00:10:27,660 --> 00:10:23,620 and again you can make a you can start 248 00:10:30,870 --> 00:10:27,670 with a hydrophilic block and add a 249 00:10:32,970 --> 00:10:30,880 hydrophobic block and then a what 250 00:10:35,970 --> 00:10:32,980 happens is that as the hydrophobic block 251 00:10:39,960 --> 00:10:35,980 changes the structures that are stable 252 00:10:42,510 --> 00:10:39,970 or metastable a ground states change 253 00:10:44,780 --> 00:10:42,520 from his fears to so-called worms to 254 00:10:49,260 --> 00:10:44,790 vesicles so we did that we done that and 255 00:10:51,390 --> 00:10:49,270 then we added a little bit of a photo 256 00:10:54,000 --> 00:10:51,400 chemistry to it and we discovered that 257 00:10:55,950 --> 00:10:54,010 you could have in a small cuvette you 258 00:10:58,980 --> 00:10:55,960 could have this mixture of chemicals 259 00:11:01,530 --> 00:10:58,990 process them for a few hours and you 260 00:11:04,110 --> 00:11:01,540 start a until you begin the reaction 261 00:11:06,240 --> 00:11:04,120 begins to occur at the beginning the 262 00:11:07,500 --> 00:11:06,250 liquid looks transparent after three or 263 00:11:09,750 --> 00:11:07,510 four hours the liquid 264 00:11:12,780 --> 00:11:09,760 a little it's less transparent after six 265 00:11:14,700 --> 00:11:12,790 hours the liquid begins to show phase 266 00:11:18,120 --> 00:11:14,710 separation and then you begin when you 267 00:11:19,440 --> 00:11:18,130 put this in a slide in a microscope then 268 00:11:22,130 --> 00:11:19,450 you begin to see the formation of 269 00:11:26,220 --> 00:11:22,140 vesicles and it's much more than that 270 00:11:29,910 --> 00:11:26,230 the vesicles can you a fiction that that 271 00:11:32,610 --> 00:11:29,920 movie the vesicles you see the sky which 272 00:11:36,330 --> 00:11:32,620 is coming from the northwest he's 273 00:11:38,490 --> 00:11:36,340 growing the reaction is making him then 274 00:11:43,170 --> 00:11:38,500 he will collapse when he gets to the 275 00:11:44,970 --> 00:11:43,180 center and then he starts again so you 276 00:11:47,490 --> 00:11:44,980 have cycles of this kind now we do this 277 00:11:50,190 --> 00:11:47,500 in a CSTR and we're able to we have 278 00:11:53,790 --> 00:11:50,200 being able to make something like 70 70 279 00:11:57,060 --> 00:11:53,800 cycles so we in this case we said okay 280 00:11:58,950 --> 00:11:57,070 so we studied a that what's going on we 281 00:12:00,210 --> 00:11:58,960 found out at first we found out and this 282 00:12:03,420 --> 00:12:00,220 is what I'm showing you today this is 283 00:12:06,930 --> 00:12:03,430 couple of years old it we found out that 284 00:12:09,120 --> 00:12:06,940 this transition from a droplet my cell 285 00:12:10,620 --> 00:12:09,130 dominated to vesicle dominated and today 286 00:12:13,230 --> 00:12:10,630 we do know that this transition is not 287 00:12:15,030 --> 00:12:13,240 as sharp as this but sigmoid and it 288 00:12:19,170 --> 00:12:15,040 follows everything the simple relation 289 00:12:21,090 --> 00:12:19,180 law and we also have have seen that this 290 00:12:22,380 --> 00:12:21,100 system becomes it likes to be where 291 00:12:24,060 --> 00:12:22,390 there is light so there is some 292 00:12:28,950 --> 00:12:24,070 principle of selection based on 293 00:12:31,380 --> 00:12:28,960 phototaxis and we understand then you 294 00:12:33,630 --> 00:12:31,390 start this again we understand a lot of 295 00:12:36,300 --> 00:12:33,640 this a lot about this system and what 296 00:12:37,710 --> 00:12:36,310 we've done is gone from this very simple 297 00:12:40,410 --> 00:12:37,720 system that you see here what you see 298 00:12:42,780 --> 00:12:40,420 when this guy's a implode 299 00:12:45,600 --> 00:12:42,790 we call this Phoenix because they grow 300 00:12:48,240 --> 00:12:45,610 they die and then they rise again from 301 00:12:49,920 --> 00:12:48,250 their own ashes so to speak so you see 302 00:12:51,540 --> 00:12:49,930 that there is self-replication the 303 00:12:54,090 --> 00:12:51,550 system actually self replicates we have 304 00:12:55,710 --> 00:12:54,100 studied this in lots of detail and we do 305 00:12:57,480 --> 00:12:55,720 know that the system is actually 306 00:13:00,270 --> 00:12:57,490 self-replicating because there are some 307 00:13:01,620 --> 00:13:00,280 spores or some material not really 308 00:13:03,750 --> 00:13:01,630 spores but some molecules that are 309 00:13:08,250 --> 00:13:03,760 released and then the PCR reaction 310 00:13:12,150 --> 00:13:08,260 starts again so we have a motivate we 311 00:13:15,120 --> 00:13:12,160 have done the same thing with a but 312 00:13:18,240 --> 00:13:15,130 powered by the values of solute in scale 313 00:13:20,070 --> 00:13:18,250 reaction we can and we when we put the 314 00:13:21,160 --> 00:13:20,080 values of solute insuk reaction you have 315 00:13:23,470 --> 00:13:21,170 also and 316 00:13:25,509 --> 00:13:23,480 type of a behavior in the vesicles which 317 00:13:27,759 --> 00:13:25,519 are formed by Pisa which is that the 318 00:13:30,519 --> 00:13:27,769 vesicles divide so we have come up with 319 00:13:32,800 --> 00:13:30,529 a way of mimicking some of the basic 320 00:13:34,150 --> 00:13:32,810 features of linear systems and we are 321 00:13:36,519 --> 00:13:34,160 now finding out that you could start 322 00:13:39,189 --> 00:13:36,529 with a mix where the system begins to 323 00:13:42,540 --> 00:13:39,199 operate under its own control it 324 00:13:45,699 --> 00:13:42,550 self-assembles and then eventually a 325 00:13:48,910 --> 00:13:45,709 this of course is not like a Latorre 326 00:13:50,860 --> 00:13:48,920 chemical reaction this is taken from a 327 00:13:53,110 --> 00:13:50,870 pulse in the heart but anyway it 328 00:13:54,759 --> 00:13:53,120 represents oscillations if you have 329 00:13:57,250 --> 00:13:54,769 oscillatory chemistry inside which can 330 00:13:59,500 --> 00:13:57,260 actually do a complex computations you 331 00:14:01,540 --> 00:13:59,510 have at least two routes for server 332 00:14:05,620 --> 00:14:01,550 application this mitotic and this other 333 00:14:07,840 --> 00:14:05,630 in terms of Phoenix style things and of 334 00:14:09,579 --> 00:14:07,850 course we don't think that anything like 335 00:14:12,129 --> 00:14:09,589 that happened in the origin of life on 336 00:14:17,590 --> 00:14:12,139 earth but it to me as a physicist I am 337 00:14:20,980 --> 00:14:17,600 aware thank you to me as a physicist it 338 00:14:23,079 --> 00:14:20,990 gives me pleasure to see that or it adds 339 00:14:24,750 --> 00:14:23,089 it gives me understanding to see that 340 00:14:28,480 --> 00:14:24,760 something like this may have happened 341 00:14:31,900 --> 00:14:28,490 before life evolved into 40 days so here 342 00:14:33,670 --> 00:14:31,910 are some conclusions that I am offering 343 00:14:35,410 --> 00:14:33,680 to you what this is service is summing 344 00:14:38,079 --> 00:14:35,420 up - this one is a summary of what I've 345 00:14:41,290 --> 00:14:38,089 said so far but I would also like to say 346 00:14:42,759 --> 00:14:41,300 that we have now two a varieties one 347 00:14:44,889 --> 00:14:42,769 with ruthenium another one with the 348 00:14:47,199 --> 00:14:44,899 iridium in the laboratory you put them 349 00:14:50,139 --> 00:14:47,209 to compete in the same beaker and guess 350 00:14:54,970 --> 00:14:50,149 what if the light benefits one of them 351 00:14:59,620 --> 00:14:54,980 say ruthenium the ruthenium eats the 352 00:15:01,600 --> 00:14:59,630 ones which are iridium and vice versa so 353 00:15:03,220 --> 00:15:01,610 we are very excited and of course I'm 354 00:15:06,400 --> 00:15:03,230 gonna end with a joke and a little bit 355 00:15:07,750 --> 00:15:06,410 of a scared thank you very much for your 356 00:15:08,890 --> 00:15:07,760 attention and I hope you enjoyed the 357 00:15:10,530 --> 00:15:08,900 talk thank you 358 00:15:11,330 --> 00:15:10,540 [Applause]