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2024generativeAIpredictionsCreatedusingDall-E3Unleash
thegenerativeAIrevolutionDiveintoa
treasuretroveofgenerativeAIcompanies,investors,andmarketinsights.Elevateyourdecisionswith
exclusivesoftwarebuyerinterviewstounderstandproductpricing,CSAT,andpost-deploymentexperience.CBInsights–YourGatewaytoGenerativeAISign
up
for
access2Youralways
onAI-DrivenResearchAnalystDolesssearching,getmoreanswersJoin
the
waitlist
forearly
access3Predictions13Generative
AI
infrastructureHuman-machine
interactionsPower-hungryAIdatacentersproliferateDatascarcitydrivessearchfornewsourcesNvidia’sfrenemies:ChiprivalriesgrowamidGPUshortageBadactorstargetlanguagemodels512172227AIgirlfriendskillhumanromance55616774LonelyGenZbefriendsAIThenextiPhone:AI’shardwarerevolutionAutonomousagents:FromhypetosomewhatusefulMLOpsconsolidates24Generative
AI
applicationsFoundation
modelsCopilotsdrivemassivewhite-collarproductivitygains
79AIvs.AI:GenAIfuelsnewwaveofattackanddefense
87MultimodalAIbecomestablestakes32Enterprisesdomorewithpocket-sizedmodelsOpen-sourcemountsachallengetoclosedLLMs3743GenAItakesoverjournalism94100104Beyondtransformers:Newarchitectureschallengestatusquo48Beyondstills:VideogenerationmakesstridesAgenAIgraveyardfollowsfrenzy4Generative
AI
infrastructurePower-hungryAIdatacentersproliferate5GenerativeAIinfrastructureNvidia’shigh-endchipswillconsumethesameamountofenergyasasmallnationin2024Annualelectricityconsumption13,79713,000GWh13,000GWhGWh11,000GWh10,632GWhNvidia
H100chipsGeorgiaGu
atemalaCosta
Rica1M
US
homesGeorgiaGuatemalaCostaRica1MUShomesH100ChipsSource:CBInsightsestimates,assuming3MH100sareoperationalin2024(basedon2024salesestimatefromNvidia
andQ3’23salesestimatefromOmdia
Research)at75%ofmaxpower;electricityconsumptionofcountriesandUShomesbasedon
2021EIAdata6GenerativeAIinfrastructureLegacydatacentersarenotreadyforthisDatacenterrackdensities“It’sestimatedthat80%of
thedatacenterpowerwill…beconsumedbyAIoverthenext15years.So,attheendoftheday,accesstopowerisakeydifferentiator.”Legacy
data10kW/rackcenters300kW/rackDigitalBridgeGroupCEOMarcGanzi,Q2’23earnings
callAI
data
center$0M$50M$100M$150M$200M$250M$300M$350MSource:CyrusOne,CBInsights—Earningstranscriptanalytics
(datereflectsquartercalloccurred)7GenerativeAIinfrastructureThereismassivedemandforhigh-powerAIdatacentersMentionsofAIanddatacentertechskyrocketonearningscallsSource:CBInsights—Earningstranscriptsanalytics
(datereflectsquartercalloccurred)8GenerativeAIinfrastructureBigmoneyisgoingintoenablingtechlike
liquidcoolingHigh-powerandhigh-heatAIdatacenterswilldriveupdemandforcoolingtechnologiesBackedJetCoolthroughventurearminQ4’23AcquiredCoolITSystems
for$270MinQ2’23AcquiredCoolTerainQ4’23Source:CBInsightscompanyprofiles
—CoolITSystems,JetCool,CoolTera9GenerativeAIinfrastructureAsutilitiesstruggletocope,demandforrenewableenergyisincreasing“Already,datacentersrepresenthalfofourUSbacklogandthegrowthofgenerativeAIwillonlyacceleratetheirdemandformorerenewableenergy.”“…theAI-drivenbuild-outofdatacentershascreatedsignificantincrementaldemandforrenewableelectricity.”CEOAndresGluski,Q4’23earningscallCEOJeffLipson,Q4’23earningscallSource:CBInsights—Earningstranscriptsanalytics
(datereflectsquartercalloccurred)10GenerativeAIinfrastructureNuclearmaybethefutureofsustainableAIoperationsRecentlyfundedsmallmodularreactorsandfusiontechcompaniesCompanyValuationFundingandpartnerships$3.5BBackedbySamAltmanina$500Mroundin2021SignedanMoUwiththeEmiratesNuclearEnergyCorporationtoexpanddecarbonizationandnuclearenergyeffortsinsectorsincludingdatacenters$1.1BAnnouncedSPACmergerwithSamAltman’sAltCAcquisitionCorp.inQ3’23atavaluationof$850M$800M$123M$107MRaised$40MfromToyotaVentures,FoundersFund,andothersin2022Raised$250MfromChevron,GoogleVentures,andotherinvestorsin2022,followedbyaCaliforniagovernment
grantSource:CBInsightsmarketreports
—Smallmodularreactors(SMR),Nuclearfusion11Generative
AI
infrastructureDatascarcitydrivessearchfornewsources12GenerativeAIinfrastructureWearerunningoutofhigh-qualitydatatotrainLLMsResearchersestimatethat,by2026,wewillexhausthigh-qualitytextdata*
fortrainingLLMs—
a
trendthatcanslowdownAIprogress.Source:“AnanalysisofthelimitsofscalingdatasetsinMachineLearning”byEpoch,MITCSAIL,andothers13*Datafromsourcessuchasnewsarticles,Wikipedia,filteredwebcontentGenerativeAIinfrastructureFreeinternettextisno
longeramoat—andscrapingproprietarysourcesisgettingharder2023JanuaryMarchJulyDecember1234GettyImagessuesStabilityAI
$42Kbulkaccessfeefor50KtweetsXimposesaReddit
startscharging$0.24/1KAPIcallsNYTimessuesOpenAIandMicrosoftforcopyrightinfringementSource:Media
reports14GenerativeAIinfrastructureVendorswithproprietarycontentwillbecomehotlicensingandacquisitiontargets<100M
visits/month<500M
visits/month<1B
visits/month>1B
visits/monthSource:CBInsightsresearch—Licensingtargetsbigtechshouldlockup15GenerativeAIinfrastructureCostandscarcitywilldriveupdemandforsyntheticdatasetsCompanySyntheticdatainitiatives??Raised$3.5MinseedfundinginQ3’23fromSparkCapitalandVillageGlobaltotraincustomLLMsbasedonasyntheticdataplatformReleasedglaive-coder-7b,acodingmodeltrainedwith140K+syntheticprogrammingproblemsandsolutions??TrainedLLMs(OpenHermes-2,NousHermes)on900Kto1MdataentriesgeneratedbyGPT-4Raised$5.2MinseedfundinginQ4’21fromDistributedG,OSSCapital,andothers???CEOSamAltmanwasquotedassayingalldatawillsoonbesyntheticTrainedsmalllanguagemodelsphi-1and2onGPT-generatedsynthetictextbooksReleasedBeluga1andBeluga2languagemodelsfine-tunedonsyntheticdataSource:CBInsightscompanyprofiles
–Glaive,Nous,OpenAI,StabilityAI,companyreports16Generative
AI
infrastructureNvidia’sfrenemies:ChiprivalriesgrowamidGPUshortage17GenerativeAIinfrastructureGPUshortageishittingtheindustryhardH100ssellata
massivemark-up“TheGPUsatthispointareconsiderablyhardertogetthandrugs.”$97,835$45,000$30,000$3,320ElonMuskattheWSJ
CEOCouncilSummitCost
of
makingh100Average
sale
price
ofH100
cost
on
ebayListedoneBay,H100
cost
on
CD
W,ListJeadn'2o4nCDW,AveragesaleH100priceEstimatedcostofmakinganH100asofJan’24asofJan’24Source:EstimatesfromRaymondJamesoncostofmakinganH10018GenerativeAIinfrastructureBigtechisthebiggestbuyer,hoardingH100sinthethousandsEstimatedH100GPUsshippedtoselectbuyersin2023150K
150K50K50K50K50K50,00040K40,00030K25K
30,00025,00020K20K20,00020,00015K15,000TeslaTikTo
k?AlibabaBaiduCoreweaveTencentOracleAmazonGoogleMicrosoftMetaSource:Omdia
Research19GenerativeAIinfrastructureInthefaceofsoaringdemand,Nvidia’sbiggestcustomersarealsopushingtheirown
chips“It'sreally
hardtogettheamountof
GPUs
thateverybodywants.Andsoit's
justanotherreasonwhy
[Amazonchips]TrainiumandInferentiaaresoattractivetopeople.”“Atthe
scalewe
operate,it’simportantforus
tooptimizeandintegrateeverylayerof
theinfrastructurestacktomaximizeperformance,diversifyoursupplychainandgivecustomersinfrastructurechoice.”CEOAndrewJassy,Q4’23earningscallScottGuthrie,MicrosoftcloudandAIgroupEVPSource:CBInsights—Earningstranscriptanalytics
(datereflectsquartercalloccurred),Microsoft20GenerativeAIinfrastructureChiprivalsposearisktoNvidia’smeteoricgrowthCompanyChipPurposeTrainingInferenceLaunchdate2022SelectAIcustomersTrainiumInferentia2019Training&inferenceacceleratorTensorprocessingunit201720242023Training&inferenceacceleratorMaia100TobelaunchedInternaluseTraining&inferenceacceleratorMTIASource:Companyreports21Generative
AI
infrastructureBadactorstargetlanguagemodels22GenerativeAIinfrastructureThetopLLMsmayneverbefullysecureDeepMind,Bosch,andotherresearcherstrickLLMsto“generatea
step-by-stepplantodestroyhumanity”“Perhapsmostconcerningly,itisunclearwhethersuchbehaviorcaneverbefullypatchedbyLLMproviders.Analogousadversarialattackshaveproventobeaverydifficultproblemtoaddressincomputer
visionforthepast10years.”Source:Zouetal.,“UniversalandTransferableAdversarialAttacksonAlignedLanguageModels,”LLMAttacks23GenerativeAIinfrastructureEnterprisesbuckleupasconfidentialdataleaks,datapoisoning,andothersecurityconcernsgrow“…thereareanumberof
risks
associatedwith[LLMs],particularly
inenterpriseusecases.We'vealreadyseensomeexamples
wheredatawas
fedintolargelanguagemodels
withoutthe
understanding
of
howthe
datawillbeusedandthe
datahasbeen…madepublicavailableeventhoughitwasconfidential...There'salsosensitivityfrom
asecurityperspectiveofthingslikepromptinjectionattacks,datapoisoning…”ChiefProductOfficerLeeKlarich,Q2’23earningscallSource:CBInsights—Earningstranscriptsanalytics
(datereflectsquartercalloccurred)24GenerativeAIinfrastructureExecutivesarespendingupto$600Kon
LLMsecurityPurchaseamount:Purchaseamount:$600K/year$250K/year“TheclosestalternativetoTrojAIthatwe“WehadtwomainrequirementsformodelconsideredwasArthurAI,buttheyfellshortduetotheirinsecuredesignand
architecturefortheirgenerative
AI
securitysolution.
TheirsecurityrulesetsrelyonOpenAI-basedGPT3.5modelstomake
securitydecisions,whichaddstothe
FinOpsoverhead.Additionally,itintroducessecurityconcernsbecauseanorganization'sintellectualpropertycanpotentiallybeleakedtoalargelanguagemodelserviceprovider.”security:first,wewantedtoknowwhereourmodelswerevulnerablesothatwecouldhardenthem.AIShieldprovidedgoodattackvectorstoidentify
thesevulnerabilities.Second,wewantedtobeabletodetectanyattacksduringruntimeinferencing.AIShieldwasabletodetectattackswellforthedatatypestheysupported.”AIShieldcustomeranddirectoratGlobal2000companyTrojAIcustomerandVP
atFortune500companySource:CBInsightssoftwarebuyerinterviews
—TrojAI,BoschAIShield,asofJan’2425GenerativeAIinfrastructureNewvendorswillemergetotackleLLMsecurityLatestfundinground/dateCompanyHQTotalfundingSelectinvestorsM12(Lead),MooreStrategicVentures(Lead),BoozAllenVentures,CapitalOneVentures,IBMVentures,TenElevenVenturesSeries
A/Q3’23US$56MSeries
A-II/Q2’23PaladinCapitalGroup(Lead),LockheedMartinVenturesUS$38M$6MIncubator/Q3’23IsraelUS5GOpenInnovationLabSeed/Q4’23EntreeCapital(Lead),SamsungNEXT,NVIDIAInceptionProgram$6MAccelerator/Q1’23Canada$3.1MGoogleforStartupsAccelerator:CanadaSource:CBInsightsmarketreport--Machinelearningsecurity26Generative
AI
infrastructureMLOpsconsolidates27GenerativeAIinfrastructureMachinelearningoperations(MLOps)isfragmented130+
companies
across12
different
categorieshelpingenterprisesbringLLMprojectsfromstarttofinishSource:CBInsightsresearch—Themachinelearningoperations(MLOps)marketmap28GenerativeAIinfrastructureBuyerswantaone-stopshopfortheirAIneeds“Ithinkthattherearealotoftoolsand“WhenreviewingDatabricks'productoffering,wenoticedseveralstrengths.Thefirstonewasitsunifieddataplatform,whichallowsusto
performdataengineeringanddatasciencemachinelearningonasinglecompetitorsoutthereandthere'sprobablygoingtobeashakeup
andthatsomeoftheplayers,especiallythesmallerplayersmaygoaway...”platform.Thisincreasedcollaborationandefficiencyamong
cross-functionalteams.”H20.aicustomerHeadofAIatFortune500companyDatabrickscustomerVicePresidentatFintechcompanySource:CBInsightssoftwarebuyerinterviews
—Databricks,H2O.ai29GenerativeAIinfrastructureCompaniesarealreadyfeelingthepaininanovercrowdedmarketValuationbyround:Valuationbyround:-20%$164M$4.6B-70%$3.7B$50MSeriesDCompany
AAcquiredSeriesECompany
ASeriesFJan2020Jan2023Aug2021Dec2022Source:CBInsightscompanyprofiles
—Iguazio,Dataiku30GenerativeAIinfrastructureEnd-to-endplatformswilldominateDatabricksisactivelyacquiringtoexpandproductfeaturesCloudcompaniesofferingend-to-endMLOpsplatformsAcquisitions
since2020Source:CBInsightsM&Atransactiondata—Databricks31Foundation
modelsMultimodalAIbecomestablestakes32FoundationmodelsMultimodalAIisinitsinfancy,butmodelsarequicklyevolving2021
&
2022202312Nativelymultimodalmodels
emergeImage-text
models*proliferateLLMs
understand
Models
tackleimagesmore
sensorydata2021?
OpenAICLIP?
GoogleALIGN?
SalesforceALBEF2022?
GoogleLiT?
GoogleCOCA?
DeepMindFLAMINGO?
SalesforceBLIP?
SalesforceBLIP2?
MicrosoftKOSMOS?
OpenAIGPT-4?
LLaVA?
GooglePALM-E?
MetaImageBind?
GoogleGemini?
AdeptFUYU-8BSource:Publishedresearch,pressreleases.*E.g.,
imagegenerationbasedontext,imagedescriptiongenerationMultimodalAIreferstomodelsthatcanunderstandandrespondinmultipledatamodalities(text,video,image,etc.)33FoundationmodelsGoogleischallengingcompetitorswithfirstcommercialmodeltakingdiverseinputsGoogle’sGeminiUltraoutperformsGPT-4(Vision)inMMMUbenchmarkHealth&medicineHuman&socialsciencesTech&engineeringOverallArt&designBusinessScienceGeminiUltra*59.470.056.748.067.364.778.372.547.136.7GPT-4V(ision)(Playground)56.865.859.354.7Note:Geminitakesintext,image,audio,andvideo,andoutputstextandimageresponses.Source:Amassivemulti-disciplinemultimodalunderstandingandreasoning(MMMU)benchmarkforexpertAGI34FoundationmodelsMoreLLMdeveloperswillfollowsuittoremaincompetitiveCompanyTotalfundingModeMultimodalfeaturesLimitedmodalitiescommerciallyavailableGPT-4VText,imageà
text$14BIntheroadmapornotannouncedClaude-2Textonly$3.4BInflection-2Textà
text,image$1.5BMagmaImageà
text$642M$469M$317M$135MTextonlyTextonlyGrokTextonlySource:CBInsightsmarketreport—Largelanguagemodel(LLM)developers35FoundationmodelsMultimodalAIwillunlocknewcommercialopportunitiesSectorCompanyMultimodalAIapplicationArteraAI’s
prostatetestanalyzesbothbiopsyimagesandpatients’clinicaldatato
predictpatientoutcomesHealthcareRaised$90MseedroundinQ1’23fromCoatue,J&J,andothersSearchGooglewillincorporateGeminiintosearchGhostAutonomyexploresusingmultimodalLLMsinautonomousdrivingAutonomousdrivingConsumerdevicesRoboticsRaised$5MfromtheOpenAIStartupFundinQ4’23Metais
bringingmultimodalAItoconsumerswithits
Ray-BansmartglassesGoogle’s
multimodalmodelPaLM-Etargets
robotics,combininglanguagewithroboticsensorydataSource:CBInsightscompanyprofiles
–Artera,GhostAutonomy;Google,Meta36Foundation
modelsEnterprisesdomorewithpocket-sizedmodels37FoundationmodelsEnterprisespendon
largemodelscanruninthemillions“[GPT-4]isamong
thelargestandmostcostlyAImodelsavailable.Using
ittosummarizeanemailislikegettingaLamborghinitodeliverapizza.”–
TomDotan,WSJ$5M
$2-3M
$720KAFortune500healthcareStartingpriceforcustomizingGPT-4EstimatedGPT-4(32K)costtocompany’sannualspendonOpenAIsummarize6MWikipediaarticlestohalfthesizeSources:CBInsightssoftwarebuyerinterviews
—OpenAI,Truefoundry38FoundationmodelsModelsarenowshrinking,makingthemfastertotrainandcheapertorunSmalllanguagemodelsareupto88XsmallerthanGPT-3.5inparametersize0.020.040.060.080.0100.
0120.
0140.
0160.
0180.
0200.
0175BGPT
3.5Meta
Llama-2Mistral7B7B7BMosaic
MPTMicrosoftPhi2Gemini
Nano2.7B1.8BSource:Researchpapersandpressreleases39FoundationmodelsDespitetheirsize,smalllanguagemodelsarepostingstrongperformanceon
commonbenchmarksSmallermodelsrankintop6ontheStanfordHELMevaluationframeworkforfoundationmodels“…Andthetinysizedones,youcouldputinyourphoneandyourPCandsoon
andsoforth…itseemssurprising,buttheyallcandothesamething.Butobviously…biggestone[largemodel]ismuchmoreversatile,anditcandoalotmoreamazing
things.AndthelargeonewouldteachthesmalleroneshowtobegoodAIs.”CEOJensenHuang,Q2’23earningscallSource:CBInsights—Earningstranscriptanalytics,StanfordHELM(asofJan’24)40FoundationmodelsSectorswithsensitivedatawillchoosesmallmodelsattheedgeoverLLMs“WeareseeingtheconcernfromenterprisesaboutusingamodellikeGPTorPaLMbecausethey’reverylargeandhavetobehostedbythemodelproviders.Inasenseyourdatadoes
gothroughthose
providers.”“…wearereallyfocusedonwhatwecallsmalllanguagemodels,which
allowthealgorithmtoliveinsideoftheCDP
andseejusttheirdataandtheZetadatacloudandgetreally,really
smartontheirproductswithouteverallowingtheirdatatoleavetheecosystem.ThatisresonatinglikenothingI’veeverseenbefore.”CEOArvindJain,interviewwithComputerworldCEODavidSteinberg,Q3’23earningscallSource:CBInsights—Earningstranscriptanalytics
(datereflectsquartercalloccurred),Computerworld41FoundationmodelsSmallmodelswilltakeovernarrowtasksacrossfinance,healthcare,andlawCompanyModelParametersizeIndustryProduct40Bmodelranks4th
inPubMedQAleaderboardforbiomedicalquestion-answeringPalmyraMed40B/20BHealthcareRanks3rd
inPubMedQAleaderboardforbiomedicalquestion-answeringAntGLM-MedDPT-PatentDPT-SEC10B7BHealthcareLawPatentgeneration&summarizationMininginsightsfromSECdatabase7BFinanceHealthcareDPT-PubMed7BTrainedonPubMeddatabaseSource:CBInsightscompanyprofiles
—Writer,AntGroup,arcee.ai42Foundation
modelsOpen-sourcemountsachallengetoclosedLLMs43FoundationmodelsOpen-sourceLLMdevelopersareseeingrisinginvestor&commercialinterestTotalfundingamongopen-sourcemodeldevelopersRaisednearly$1Bcombinedinthelast2monthsof2023"...we'realsobuildingfoundationmodelslikeLlama2,which
webelieveisnowtheleadingopen-sourcemodelwithmorethan30millionLlamaAcquiredbyDatabricksfor$1.3Bdownloadslastmonth."CEOMarkZuckerberg,Q3'23earningscall*Excludesopen-sourcedevelopersthathavenotraisedequityfunding(asof1/3/2024)Source:CBInsightsmarketreport–Largelanguagemodeldevelopers,Earningstranscriptsanalytics
(datereflectsquartercalloccurred)44FoundationmodelsArecordnumberofAIprojectswillbebuiltonopen-sourcemodelsin2024GlobalgrowthinpublicgenerativeAIprojectsonGitHubNumberoffirst-timeopen-sourcesoftwarecontributorsSource:GitHub(data
asof11/8/2023)45FoundationmodelsPerformancegapswillclosefastSmalleropenmodelsareoutperformingGPT-3.5andreportingcomparableperformancetosomelargerclosedmodelsontheMMLUbenchmarkPrivateOpenFlan-PaLM2100%Gemini
Ultra(CoT@32)GPT-4Claude-2(5-shot
CoT)90%80%70%60%50%40%30%20%10%0%Chinchilla(few
shot,
k=5)Flan-PaLMQwen-72BYi-34BPaLM2Gopher(few
shot,
k=5)Claude-1GPT-3.5Llama-65BGork-1PaLMLLama2-70BGPT-3Mixtral
8x7BFalcon-180B(5-shot)Flan-T5-XXLUnifiedQAAquila2-34BGPT-2Oct'18May'19Dec'19Jun'20Jan'21Jul'21Feb'22Aug'22Mar'23Oct'23Apr'24Source:Massivemulti-task
LanguageUnderstandingscoresfrompublishedresearchpapers,PaperswithCode,andOpenCompassDatesrepresentresearchpaper/modelreleasedates46FoundationmodelsEnterpriseswillincreasinglyconsideropenalternatives“GPTTurboisless“WetookLlama2andfine-tuneditonourdatasetandthendeployeditonA100GPUonReplicate.That'sprettymuchthemainworkflow.That'sthe
mainpartofthe
Replicatethatweuse….”“Thebigthreefrommyperspectiveare
OpenAI,Llama2,andthenAnthropic.AsI'vetalkedtopeopleinthespace,that'stheorderofmostpopular,mostadoptedintermsofpeopleexpensive.Thatisusuallythedefaultpoweringformostofourstuff,althoughthatmightmovetoLlamasoonbecauseLlamaisevenlessexpensiveifimplemented.”implementingtools.”AnthropiccustomerReplicatecustomerHeadofFP&Aat$1B+valuationtechnologycompanySeniorManager,DataScienceat$1B+valuationtechnologycompanyOpenAIcustomerPartneratearly-stageVCfirmSource:CBInsightssoftwarebuyerinterviews
–Anthropic,Replicate,OpenAI47Foundation
modelsBeyondtransformers:Newarchitectureschallengestatusquo48FoundationmodelsGoogle’sresearchontransformerswasawatershedmomentingenerativeAI2017201820192020Restishistory1234GOOGLETRANSFORMERSNewneuralnetarchitectureforlanguageunderstandingoutperforms
olderapproachesGOOGLEBERTTransformer-basedbidirectionalAIpre-trainedwithWikipediatext,whereawordis
takeninthecontextofpreceding&succeedingwordsOPENAIGPT-2AIpre-trainedwith8MpagesofinternettextOPENAIGPT-3produces
human-liketext;largerandmorecompute-intensivethanGPT-2;OpenAIreleasesanAPIintegration&OPENAIGPTTransformer-basedunidirectionalcontextualAImodel,whereawordis
takeninthecontextofwords
precedingitinasentence49FoundationmodelsButtransformer-basedmodelsareleavingamassivecarbonfootprintCO2equivalentemissions(tonnes)byselectedmachinelearningmodelsandreal-lifeExamples,2022GPT-3(175B)Gopher(280B)OPT(175B)502.0352.070.063.025.018.15.51.0Car,Avg.Incl.Fuel,1lifetimeBLOOM(176B)AmericanLife,Avg.,1yearHumanLife,Avg.,1yearAirTravel,1passenger,NY-SF0.0100.
0200.
0300.
0400.
0500.
0Source:EstimatingtheCarbonFootprintofBLOOM,a176BParameterLanguageModel(Luccionietal.)50FoundationmodelsUserswanthighertokenlimits—today’sLLMshavelimitationsPurchaseamount:$300K/year“ThecomputationalrequirementsforTransformersincreasequadraticallywithsequencelength,whichlimits
theextentof
knowledgethesemodelscancapturefromavailabledatasets.Weare
interestedinnew,sub-“Ifyouthinkaboutamedicalconsultationforadiagnosticsleeptest,thisissomething
thatcantake24hours…Justbeingabletoingestthatamountofinformationisaboon…Youcan'treallygetfourhours'worthof
anythingoutof
manyof
thesemodels.”quadraticapproaches.”ResearchbyDanFu,SimranArora,Chris
RéSeniorresearchengineeratFortune500companySource:CBInsightssoftwarebuyerinterviews
–Cohere,MonarchMixer:Anewmodelarchitectureforincreasedefficiency51FoundationmodelsOnebilliontokens?NewtransformervariationsaretryingtobreaktheceilingMicrosoftpublishedresearchon“LongNet”inJuly2023toscaletransformersSource:LongNetresearchpaper52FoundationmodelsTopresearchfirmsaregoingbeyondtransformersJan
2023April
2023May
2023July
2023Dec
202312345MEGA“significantimprovementsoverothersequencemodels,includingvariants
ofTransformers”PretrainingWithoutAttention“…BiGSis
ableto
matchBERTpretrainingaccuracy…”MonarchMixer“…showingforthefirsttimethatitmaybepossibleto
matchTransformerqualitywithoutattention”StripedHyena“l(fā)ongcontext,improvedtraining,andinferenceperformanceovertheTransformer”Hyenaarchitecture”…reachingTransformerqualitywitha20%reductionintrainingcompute…”Source:Publishedresearchonmodelsmentioned53FoundationmodelsChallengerswillgaincommercialtractionin2024CommercialprojectsunderwayResearch/PoCCompanyDeviceCommercialapplicationWorkingon“nature-inspired”architectures;foundedNTTpartnershiptodevelopbyoneoftheauthorsofthetransformerspapermultiplesmalllanguagemodelsProof-of-conceptinautonomousdrivingwith
liquidneuralnetworkarchitectureHyenaDNA:AfoundationalmodelforgenomicsbasedontheHyenaarchitectureSource:CBInsightscompanyprofile
—Sakana,media
reports54Human-machine
interactionsAIgirlfriendskillhumanromance55Human-machineinteractionsYoungpeoplearehavinglesssexShareofAmericanmenandwomenbetweenages18and30reportingnosexinthepastyearSource:GeneralSocialSurveyvia
WashingtonPost56Human-machineinteractionsEndlessswipingisn’t
working12Tinderusers’activitySource:CulturePlot57Human-machineinteractionsDatingcompaniesareturningtogenAItomakedatinglessawkward&keepusershooked“...usinggenerativeAItoreallybethisbestfriendin
yourpocketinsideofBumbletohelpyou
date,tobuildconfidence,tofeelgoodaboutitsothatyou
neverdeletethisappbecauseitdidn'tmake
youfeelgoodaboutyourself.”“Bythe
endof
the
year,we
expecttohavelaunchedanumberof
initiativesthatwillusegenerativeAItoeliminateawkwardness,makedatingmorerewardingandsurpriseanddelightusers..."CEOBernardKim,Q3'23earningscallCEOWhitneyWolfeHerd,Q4'23earningscallSource:CBInsights–Earningstranscriptanalytics
(quarterreflectsdatecalloccurred)58Human-machineinteractionsAIgirlfriendstartupsarefindingamarketinlonely,sexlessmenSource:Digi,
Blush,Anima59Human-machineinteractionsExpectromanticAItoacceleratethedeclineinadultpartnerships%
ofpopulationages25to54whoare…Arisingshareof
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