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88th anniversary. this was really something. >> i'm literally here watching a family member die. 30 years on air, 27 years operation, 50 years this building. i literally when i know i leave tonight they're going to shut us down. either tonight, today. i believe in my grandparents, i believe in my parents. i believe in humanity. i just want to -- [bleep ] these people. they have to be stopped. we have to stop them. so, al at the end of the day we're going to beat these people. i'm not trying to be dramatic here but it's been a hard fight. >> reporter: that was alex jones one of the country's biggest conspiracy theorists crying, at least we think it was crying on his show last weekend about the fact that his program info wars might finally
you've just done, it becomes obvious there is a role for things that can - there is a role for things that can provide _ there is a role for things that can provide predictive _ there is a role for things that can provide predictive analytics - there is a role for things that can| provide predictive analytics about what technologies— provide predictive analytics about what technologies can _ provide predictive analytics about what technologies can be - provide predictive analytics about what technologies can be used i provide predictive analytics about. what technologies can be used and applied _ what technologies can be used and applied to — what technologies can be used and applied to health _ what technologies can be used and applied to health care. _ what technologies can be used and applied to health care. i— what technologies can be used and applied to health care. i think- what technologies can be used and applied to health care. i think onel applied to health care. i think one of the _ applied to health care. i think one of the challenges _ applied to health care. i think one of the challenges that _ applied to health care. i think one of the challenges that i— applied to health care. i think one of the challenges that i faced - applied to health care. i think one of the challenges that i faced at l of the challenges that i faced at that time, — of the challenges that i faced at that time, which _ of the challenges that i faced at that time, which was _ of the challenges that i faced at that time, which was we - of the challenges that i faced at that time, which was we were l of the challenges that i faced at - that time, which was we were trying to get— that time, which was we were trying to get more — that time, which was we were trying to get more people _ that time, which was we were trying to get more people in _ that time, which was we were trying to get more people in the _ that time, which was we were trying to get more people in the nhs - that time, which was we were trying to get more people in the nhs to. to get more people in the nhs to actually— to get more people in the nhs to actually he — to get more people in the nhs to actually be the _ to get more people in the nhs to actually be the originators - to get more people in the nhs to actually be the originators of- to get more people in the nhs to actually be the originators of the| actually be the originators of the ai, actually be the originators of the al, it _ actually be the originators of the al, it came — actually be the originators of the ai, it came down— actually be the originators of the ai, it came down to _ actually be the originators of the ai, it came down to the - actually be the originators of the ai, it came down to the issue of| ai, it came down to the issue of resources — ai, it came down to the issue of resources. the _ ai, it came down to the issue of resources. the ai _ ai, it came down to the issue of resources. the ai lab— ai, it came down to the issue of resources. the ai lab was - ai, it came down to the issue of resources. the ai lab was just l resources. the ai lab was just about starting _ resources. the ai lab was just about starting there _ resources. the ai lab was just about starting. there was _ resources. the ai lab was just about starting. there was not _ resources. the ai lab was just about starting. there was not anybody - resources. the ai lab was just about starting. there was not anybody to i starting. there was not anybody to have it _ starting. there was not anybody to have it clinician _ starting. there was not anybody to have it clinician turned _ starting. there was not anybody to have it clinician turned to - starting. there was not anybody to have it clinician turned to a - starting. there was not anybody to have it clinician turned to a sayingl have it clinician turned to a saying i have it clinician turned to a saying i want _ have it clinician turned to a saying i want to — have it clinician turned to a saying i want to address _ have it clinician turned to a saying i want to address this _ have it clinician turned to a saying i want to address this issue, can i i want to address this issue, can you find — i want to address this issue, can you find me _ i want to address this issue, can you find me somebody- i want to address this issue, can you find me somebody either. you find me somebody either internally— you find me somebody either internally to _ you find me somebody either internally to the _ you find me somebody either internally to the nhs - you find me somebody either internally to the nhs or- you find me somebody either- internally to the nhs or externally to the _ internally to the nhs or externally to the nhs— internally to the nhs or externally to the nhs to _ internally to the nhs or externally to the nhs to help _ internally to the nhs or externally to the nhs to help me? _ internally to the nhs or externally to the nhs to help me? so - internally to the nhs or externally to the nhs to help me? so the . internally to the nhs or externally. to the nhs to help me? so the nhs ai lab was— to the nhs to help me? so the nhs ai lab was formed — to the nhs to help me? so the nhs ai lab was formed in _ to the nhs to help me? so the nhs ai lab was formed in its _ to the nhs to help me? so the nhs ai lab was formed in its job was - lab was formed in its job was primarily— lab was formed in its job was primarily to— lab was formed in its job was primarily to try _ lab was formed in its job was primarily to try to _ lab was formed in its job was primarily to try to bring - lab was formed in its job was primarily to try to bring ai i lab was formed in its job was. primarily to try to bring ai into the nhs — primarily to try to bring ai into the nhs if— primarily to try to bring ai into the nhs. if you _ primarily to try to bring ai into the nhs. if you look— primarily to try to bring ai into the nhs. if you look about - primarily to try to bring ai into the nhs. if you look about the degree — the nhs. if you look about the degree of— the nhs. if you look about the degree of investment - the nhs. if you look about the degree of investment it- the nhs. if you look about the i degree of investment it provided, the nhs. if you look about the - degree of investment it provided, it was for— degree of investment it provided, it was for merely— degree of investment it provided, it was for merely to _ degree of investment it provided, it was for merely to help _ degree of investment it provided, it was for merely to help people - degree of investment it provided, it was for merely to help people get l degree of investment it provided, it was for merely to help people get a foothold _ was for merely to help people get a foothold into — was for merely to help people get a foothold into the _ was for merely to help people get a foothold into the nhs _ was for merely to help people get a foothold into the nhs increase - foothold into the nhs increase the evidence _ foothold into the nhs increase the evidence to — foothold into the nhs increase the evidence to show _ foothold into the nhs increase the evidence to show that _ foothold into the nhs increase the evidence to show that things - foothold into the nhs increase the evidence to show that things were| evidence to show that things were clinically— evidence to show that things were clinically say~ _ evidence to show that things were clinically say. it _ evidence to show that things were clinically say. it was _ evidence to show that things were clinically say. it was not _ evidence to show that things were clinically say. it was not to - clinically say. it was not to actually _ clinically say. it was not to actually develop _ clinically say. it was not to actually develop the - clinically say. it was not to i actually develop the product.
was that the right sort of estimation of what you are doing? christian, that was absolutely fantastic. this is really a scientific moonshot and there is a lot to _ scientific moonshot and there is a lot to unpack here specifically. we are really— lot to unpack here specifically. we are really setting out to learn the language — are really setting out to learn the language and biology and order light blue plant that nature has provided us so _ blue plant that nature has provided us so that— blue plant that nature has provided us so that we can design novel medicines, breakthrough medicines from scratch using ai as our interpreter, our writer and designer. that's correct. i don't even know— designer. that's correct. i don't even know how _ designer. that's correct. i don't even know how christian - designer. that's correct. i don't even know how christian feels l designer. that's correct. i don't - even know how christian feels about using ai even know how christian feels about using al to modify or redesign the genetic code of humans but you have demonstrated you can edit or rewrite the human genome with al. can you please unpack that for us and our wonderful viewers?— please unpack that for us and our wonderful viewers? wonderfulviewers? absolutely. it really starts _ wonderfulviewers? absolutely. it really starts with _ wonderfulviewers? absolutely. it really starts with the _ wonderfulviewers? absolutely. it really starts with the na - wonderfulviewers? absolutely. it really starts with the na in - really starts with the na in particular. where dna is our fundamental blueprint of life and human— fundamental blueprint of life and human health as well, and there is a
you are watching the context. it is time for our our new weekly segment, ai decoded. welcome to ai decoded, our regular weekly appointment with all things artificial intellligence. if you have watched this series before, you will know by now that in each of our programmes we like to focus on particular a theme. last time out, we looked at the different approaches to regulation in the us and here in europe. this week, we are going to focus on health. you no doubt have read that al is already delivering huge breakthroughs in medical science. tonight, we will show you how the technology is being used to deliver enormous advances in cancer therapy. it's about improving automation, improving efficiency, improving the confidence to deliver higher doses in fewer fractions so we can reduce waiting lists, which is particularly important in the uk right now. but how much investment is there in this new technology, and are we taking full advantage? a report this week from digital health that the government has slashed in half the investment
research and it's a long process. - what we have developed as a series of ai what we have developed as a series of al agency— what we have developed as a series of al agency can _ what we have developed as a series of ai agency can gather— what we have developed as a series of ai agency can gather information| of ai agency can gather information to present — of ai agency can gather information to present that— of ai agency can gather information to present that to _ of ai agency can gather information to present that to the _ of ai agency can gather information to present that to the relevant - to present that to the relevant authorities... _ to present that to the relevant authorities... so _ to present that to the relevant authorities. . ._ to present that to the relevant authorities. . .— to present that to the relevant authorities... so you are using al to delo authorities... so you are using al to deploy the _ authorities... so you are using al to deploy the ai? _ authorities... so you are using al to deploy the ai? yes, _ authorities... so you are using al to deploy the ai? yes, it - authorities... so you are using al to deploy the ai? yes, it sounds| to deploy the ai? yes, it sounds stranue to deploy the ai? yes, it sounds strange but _ to deploy the ai? yes, it sounds strange but you _ to deploy the ai? yes, it sounds strange but you can _ to deploy the ai? yes, it sounds strange but you can imagine - to deploy the ai? yes, it sounds strange but you can imagine it's| to deploy the ai? yes, it sounds i strange but you can imagine it's an area or— strange but you can imagine it's an area or i _ strange but you can imagine it's an area or i will— strange but you can imagine it's an area or i will not _ strange but you can imagine it's an area or i will not give _ strange but you can imagine it's an area or i will not give you the - area or i will not give you the e>
it is putting into the nhs ai lab. we will speak tonight to the former nhs director of ai innovation, who these days is using the al to streamline regulation so our public services can more quickly make use of what is on offer. so let me set the context for you. currently here in the uk, there are 7.5 million people waiting for treatment in england. and in spite of all best efforts, it's only slightly down on a peak of nearly 7.8 million last september. but clearly not far enough. we spent in 2022—23 — the last year of confirmed final nhs spending data — total health spending in england was over £180 billion. spending has increased by an average of 5.5% a year in real terms since 2019—20. it stands to reason that we need a better solution. more spending does not necessarily deliver better outcomes, and that is where ai
running up the beach with a little enamel cup on— running up the beach with a little enamel cup on his _ running up the beach with a little enamel cup on his back- running up the beach with a little enamel cup on his back and - running up the beach with a little enamel cup on his back and he i running up the beach with a little i enamel cup on his back and he had to have the _ enamel cup on his back and he had to have the right — enamel cup on his back and he had to have the right kit, _ enamel cup on his back and he had to have the right kit, so— enamel cup on his back and he had to have the right kit, so there _ enamel cup on his back and he had to have the right kit, so there were i enamel cup on his back and he had to have the right kit, so there were a i have the right kit, so there were a lot of— have the right kit, so there were a lot of veterans _ have the right kit, so there were a lot of veterans around _ have the right kit, so there were a lot of veterans around with - have the right kit, so there were a lot of veterans around with us i have the right kit, so there were a lot of veterans around with us andj have the right kit, so there were al lot of veterans around with us and i was only— lot of veterans around with us and i was only criticised _ lot of veterans around with us and i was only criticised by— lot of veterans around with us and i was only criticised by one _ lot of veterans around with us and i was only criticised by one who i was only criticised by one who said i was only criticised by one who said i was _ was only criticised by one who said i was a _ was only criticised by one who said i was a bren— was only criticised by one who said iwas a bren gun— was only criticised by one who said i was a bren gun carrier— was only criticised by one who said i was a bren gun carrier and - was only criticised by one who said i was a bren gun carrier and i- i was a bren gun carrier and i carried — i was a bren gun carrier and i carried it _ i was a bren gun carrier and i carried it and _ i was a bren gun carrier and i carried it and the _ i was a bren gun carrier and i carried it and the strap, i i was a bren gun carrier and i carried it and the strap, the i carried it and the strap, the official_ carried it and the strap, the official way _ carried it and the strap, the official way was— carried it and the strap, the official way was what - carried it and the strap, the official way was what a - carried it and the strap, the official way was what a lot i carried it and the strap, thel official way was what a lot of people — official way was what a lot of pe0ple got _ official way was what a lot of pe0ple got but_ official way was what a lot of willa got but i_ official way was what a lot of people got but i carried - official way was what a lot of people got but i carried my. official way was what a lot of. people got but i carried my with official way was what a lot of - people got but i carried my with it strapped — people got but i carried my with it strapped down— people got but i carried my with it strapped down and _ people got but i carried my with it strapped down and i— people got but i carried my with it strapped down and i was lucky- people got but i carried my with it strapped down and i was lucky to| strapped down and i was lucky to get it right _ strapped down and i was lucky to get it right i— strapped down and i was lucky to get it riuht. ~' strapped down and i was lucky to get it riuht. ~ ,i, strapped down and i was lucky to get it riuht. ~ p, i, strapped down and i was lucky to get it riht. ~ i, strapped down and i was lucky to get it riuht. ~ i, i, it right. i think both of you have not it right. i think both of you have got everything _ it right. i think both of you have got everything very _ it right. i think both of you have got everything very right - it right. i think both of you have| got everything very right indeed. the sculpture, the whole place, it sums up the youth, the terror but ultimately the determination, the steely determination required of all of the forces that stormed these beaches 80 years ago this morning. charlie, back to you.— charlie, back to you. john, thank ou so charlie, back to you. john, thank you so much _ charlie, back to you. john, thank you so much and _ charlie, back to you. john, thank you so much and across - charlie, back to you. john, thank you so much and across our - charlie, back to you. john, thank - you so much and across our coverage this morning, john will be meeting and talking to so many involved in events here. as you will have
calandra. >> matthew colangelo, matthew >>an became the assistant attorney general at the very beginning of the biden administration assistaatta glanville makes this remarkable downstream career journe y fromm care the u.s. department of justice in washington, d.c.,journe and n pops up in alvin bragg's office to go get trump. and you're then p saying that's just a a that's just a career choice that was made that hasreer cho g to do with the lawfare coordinator. >> i'm saying it's false. ch thm >> i did not dispatch mr. angelo anywhere.o know >> well, do you know how he ended up there? i assume he spoke ene. t th >> he applied for a job there and got the job of johnny, took a pay cut to be my neighbor's landscaper. you'd think i'd sa be y he probv just applied for the job and got it. >> com applied e on.guys a >> biden's guys are coordinating all of these trump prosecutions. al the show, we've proven it. today. the attorney general stonewalled. s. will the department of justice provide to the committee all documents, all correspondence between the departmentl docume and alvit
changed. when it comes to the us election, the election here, how much are you worrying about the impact x, twitter, could have? 0r actually, is it less of an important medium than it was in previous elections already? it feels as though it is less| important, partly because, you know, despite really reorganising the cost - base, the revenues have| clearly collapsed as well. and advertisers have left i the platform, which again, means that you don't get. the quality loop that we've been discussing and, you know, deferring to the expert shona . on one side and katy. on the other side, but, you know, i am really struck. by how people underestimate tiktok at their peril, in my opinion. - you know, it isn'tjust- children and young people. it is people of all ages - and i was reading something about al recently that said - that one of the biggest sources of quality content that people are learning about al - is on tiktok. mm. and that's not just . seven—year—olds and 13—year—olds and 18—year—olds. it's, you know, 35, 45, even 50—year—olds, dare i say it! | so i think we underestimate
with this? >> yhat?t haveg the lab leak theory? no, nothing to do with it. nothinleak theg. o. what do you do you agreeu ag that there was a push theor to downplay the lab leak theory? not on my party?. ? >> really? really. wow. now, that'o an rea s on par with one of of senator rand paul's legendary exchanges with dr. fauci. let's go down memory lane. you might remember this. >> the point that you were making is that of the grant that was funded as a sub award from ecohealth to wuhan, created sars-cov-2 to. >> that's what you were getting. let me finish. we don't kno>> it wew --w. >> al wait, wait a minute. did you do the lab? but all the evidence is pointing that it cameis . re the lab. you. there will be responsibility willor. totallynded the lab >> including yourself. i totally disagree. allonew the witness to.>> i totally resent the lie that you are now. e no senator. all right, here now with reaction. he is the authorwith of deceptin