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What’s
NewandWhat’s
NextforGenAIand
MLonAutonomousAI
Database[LRN2911]Madhu
BabuVitta,
DropboxMark
Hornick,Oracle
Kumar
Rajamani,OracleOctober
14,
2025Safe
harborstatementThefollowing
is
intendedtooutline
ourgeneral
productdirection.
It
is
intendedforinformation
purposesonly,and
may
not
be
incorporated
intoany
contract.
It
is
not
acommitmenttodeliverany
material,
code,orfunctionality,
and
should
not
be
relied
upon
in
making
purchasing
decisions.The
development,
release,timing,
and
pricing
ofanyfeatures
orfunctionality
describedforOracle’s
products
maychangeand
remains
atthe
solediscretion
ofOracleCorporation.Copyright
©2025,Oracle
and/or
itsaffiliatesSelectAICopyright
©2025,Oracle
and/or
itsaffiliatesLack
ofcomprehensivesecurityandgoodgovernanceWhy
do
AI
Projects
fail
or
not
even
start?Lack
ofcompleteand
reliable
dataand
metadataLackofwell-definedproblemsalignedtobusinessgoalsCopyright
©
2025,
Oracleand/oritsaffiliatesAvoidexpensiveduplication
byfederatingmetadataand
dataaccessChooseanAIframeworkwith
built-insecurityandgovernanceBringdatacloser
to
the
businessusersSuccessfulAI
ProjectsCopyright
©
2025,
Oracleand/oritsaffiliatesSelectAIGoalReducethe“distance”
betweenbusiness
usersandtheir
dataGetanswers
fromstructuredandunstructuredsourcesusingnaturallanguage
withoutthecomplexityofunderlyingplatformorimplementationdetails7Copyright
©2025,Oracle
and/or
its
affiliatesPlatformFully
managedelasticservice;
built-in
dataconnectorsand
APIs(Autonomous
Database)FrameworkNL2SQL,AIAgents,
RAG–
integratedwith
LLMs(SelectAI)SelectAIcan
be
used
onany
23.xOracle
databaseand
NL2SQL
on
ADB
19c–
prerequisites
mayvarySyntheticdata
generationAISecurityIn-databaseagents“AskOracle”,SelectAI
Admin,SelectAI
Inspect,testdatagenerator
…CustomerOutcomesBuildingonafirm
foundationCopyright
©2025,Oracle
and/or
itsaffiliatesSelectAIframeworkvisionSelectAISelectAI
isOracle’s
in-databasegatewaytoAI
models—vertically
integrated,secure,
and
builtto
scalePublic/Private
LLMsAIAgentsCosttrackingSecurity&GuardrailsModelAccessObservabilityAPIsAuditing&
LoggingPromptManagementBudgetsRate
LimitingPublic/Private
TransformersIn-databaseTransformersCopyright
©2025,Oracle
and/or
itsaffiliatesUser9“totalsalesforthis
month”“top
10
productsby
sales”“top
10salesregionby
product”Service
REDSHIFTsnowflake
Answerquestionsaboutdata
inawide
range
ofdata
storesVideo:UnlockallyourdatawithAutonomous
Database
"Sidecar"and
Select
AIBlog:Unlocking
DataforAllwithSidecar:
Empowering
Business
UserswithAI-Driven
InsightsLLM
ofyourchoiceFederatequeryacross
multipledata
sourcesCreatematerialized
views
for
efficientdata
accessGenerateSQLFederatedqueryCloudApplicationsClouddata
sourcesExadata
Exadata
C@CObjectStorageApplications-cloud&
on
premisesOn-premisesdatabasesCopyright
©2025,Oracle
and/or
itsaffiliatesSidecarADBExadata
Database
Azure
SQLAmazon10Augmented
PromptGenerateSQLusing
LLMExamples•
What
areourtop
10streamed
movies•Findthetop
3
baby
boomer
bigspendersAutomatedPipelineSelectAINL2SQL–
querygenerationworkflowSingle-turn
LLM
invocationwithaugmented
promptMetadata
sentto
LLM•
Table
names•
Column
namesand
datatypes•
Commentsontables
andcolumns•
Constraints•
Annotations
(23ai)11Copyright
©2025,Oracle
and/or
itsaffiliates
SQL>SELECTAISHOWSQLwhat
areour
top
10
streamed
moviesNL
PromptDBSchemaMetadataSQL
QueryLLMs
may
notcorrectly
interpretthecolumnnames,date/time
formats
leadingto
incorrectSQLQuestions
may
require
combining
database
knowledgewith
websearchorgeneral
industry
knowledge
in
LLMsQuestions
may
notcontainstringsexactly
matchingthevalues
stored
inthedatabase,e.g.,
USvs
UnitedStatesofAmericaLLMscan
hallucinateand
producewrong
OracleSQLsyntax
leading
tofailed
responseto
userNL2SQLChallengesIssuesfordesigningadata
retrieval
chat
assistant12Copyright
©2025,Oracle
and/or
itsaffiliates
SQLSyntaxErrorsDB
+WebsearchPredicateMismatchMissingAnnotationsSelectAI:What’s
new
…Copyright
©2025,Oracle
and/or
itsaffiliatesBuilt-in
ReAct
agentic
patternTool
options•
Build
customtools
using
PL/SQL•
Invokeexternaltools
using
REST•Use
cloudfunctions
such
as
OCI
Functions
andAWS
Lambdafunctions•Use
Select
AI-provided
pre-built
toolsAutomaticshort-termand
long-term
memory
managementforagents
Multi-turn
chat
using
conversationsOpenAgentSpecificationforagent
import
andexportSelectAIAgent–anautonomousagentframeworkDBMS_CLOUD_AI_AGENT
packageSimple,automatedframeworkto
build,deploy,and
manageAI
agentsAgentReasoningRefineEvaluationMemoryprompt——
LLMToolsCopyright
©2025,Oracle
and/or
itsaffiliatesOracleAutonomousAI
DatabaseTool/AnswerEnvironmentAugmentedResponseFeedbackPromptAct
onUse14SelectAIAgent–anautonomousagentframeworkAsimpleframeworkto
build,
deploy,
and
manageAIagentsDevelopers
defineagentsdeclaratively
using
PL/SQL
or
PythonCorecomponents•
Tool–asoftwarefeatureor
integrationthat
enables
an
AIagentto
performaspecificfunction
or
interactwith
external
systemsas
partofan
automated
workflow•
Task–aspecificaction
or
unitofwork
assigned
to
an
AI
agent
to
performas
partofan
automated
workflow•
Agent–anactorwitha
clearly-defined
rolethat
performs
assignedtasksas
partofan
overall
workflow•
AgentTeam–oneor
moreagentsthat
maycollaborate
to
completetaskswithin
anautomatedworkflowMCPToolCustomPL/SQLGenerateemailTaskSummarizeSales
RepAgentDataScientistCustomerSupportAgentAgentTeamEmployeeOnboardingAgentDataAnalystCloud
EngineerTranslatorFetch
logsAnalyzedataClassify
issueSQL/RAGWebsearchEmail/SlackCopyright
©2025,Oracle
and/or
itsaffiliatesDataScienceAgentValidatedataResearcherAgent15AgenticSelectAIAnagent
built
usingcoreSelect
AI
capabilitiesEnable
userstoderivegreatervaluefrom
data•Combinewebsearchwith
datastored
in
database•Discover
database
metadata/datafor
more
accurateSQLqueries•Optionally
includevectorsearch–
RAG+SQL+
Web
searchAutomatedata
retrieval
andanalysis•Natural
languageto
access
data•Reduce
human
resources
requiredtodiscoverand
search
data•Reduce
barriertoentryforenterprise
customers
using
Select
AIAgenticSelectAIWEB
RAGCopyright
©2025,Oracle
and/or
itsaffiliates[7,45,
2,
8]SQLLLM16WebsearchSelectAI
RUNSQLPredicate
SearchSample
RowsPrompt-
-
-
-
-
-
-
-
-
-uAgent
TaskAgenticSelectAIBuildinganAgent
usingSelect
AIAgent17Copyright
©2025,Oracle
and/or
itsaffiliates
Analyzeand
ReportData
AnalystResponseToolsUserUser18Copyright
©2025,Oracle
and/or
itsaffiliates
SelectAI:What’s
next
…Copyright
©2025,Oracle
and/or
itsaffiliatesSelectAIVerifyHelp
improve
responseaccuracySelectAI
ObserveUnderstandyourAI
usageSelectAI
SecureEnhancedguardrails,auditing,
loggingAnnouncing
…Copyright
©2025,Oracle
and/or
itsaffiliatesLLM-as-a-Judge•Use
one
LLMto
checkthe
results
of
another•Includes
prompt
+
response
+
contextDynamicallychoose“best”LLMfor
each
prompt•Collectstimingand
result
qualitydataon
prompts
run
against
multiple
LLMs•Selects
most
appropriate
LLMfor
each
new
prompt•Built-In
cost
control
and
smart
routing-“Kayak”
approach
to
optimize
LLM
usage-Balancecost
efficiency,
speed,
and
accuracy•Enabled
using
"model":"automatic"•Applicableto
NL2SQL,
RAG,
andgeneralchat
responsesSelectAIVerifyMulti-prongedapproachto
increasing
resultqualitywhileachieving
cost
efficiencyLLM?$$$$$$$$$$LLMLLMLLMLLMLLMCopyright
©2025,Oracle
and/or
itsaffiliatesCosttracking•TrackAI
usage
by
user,team,AI
profile,database,agent,
and
application•Metrics:tokens
used,cost/token,
andAI
model
calls
by
provider
and
model•UsesVPD
policiesto
knowwho
the
app
user
is
and
assign
coststo
that
userBudgeting•Limit
use
by
user,AI
profile,database,
agent,
and
application•Metrics
include
maximumtokens
per
unitoftimeRate
limiting•Addressfairnessofaccess
and
denial
ofservice
concerns•Limit
by
user,AI
profile,database,
agent,
and
application•Metrics
include
maximum
requests
per
unitoftimeInteraction
history•NL2SQLviaV$CLOUD_AI_SQL
and
conversationviews•RAG
and
chatvia
conversation
views•Agentvia
agentviewsSelectAIObserveGain
insight
inAI
model
usagethrough
history,
usagetracking,
budgeting,and
rate
limitingLLM
What,smyannualrevenue?$$$Copyright
©2025,Oracle
and/or
itsaffiliates
$_____________________________SelectAISecureLeverageadditionalguardrailsandauditing
capabilities
along
with
loggingGuardrails•
Existingguardrails:specifyallowedtables
and
metadata
inAI
profile;
use
read-only;controldatasharing
with
LLM•
Enhancedguardrails:enforcecustom
rulesabout
generated
SQL;
auto-retry
ifvalidationfailswithcorrected
SQLAuditing•
Record
and
persist
LLM
interactions
usingconversationAPI•
Admincancontrolaudit
trail
for
SQL
generationLogging•
Augmentaudittrailwithverbose,customizable
details
(app
context,
objects
used,
user
IPaddress,etc.)•
Enable
userto
pushdatatoobjectstorage
logs
to
enable
processing
byexternaltoolsviadatabaseaudit
pipelinesCopyright
©2025,Oracle
and/or
itsaffiliatesRoadmap:SelectAIAgentAdditional
agentic
patterns•Multi-agent
supervisor–coordinates
multipleagentstogenerate
the
result•Plan-and-execute
–creates
a
step-by-step
plan
to
solve
a
taskExtendworkflowoptionsforcustom
agentic
applications•Conditional
branching
betweentools•Customdataflowandcontrol
flow
between
agent
and
tools
Invoke
long
runningtasksasynchronouslySimplified
state
managementfortoolsKnowledgegraphfor
memory
managementPythonAPIforSelectAI
AgentCopyright
©2025,Oracle
and/or
itsaffiliates24
Enforceauthenticationand
authorizationAdditional
MCPservercapabilities
Inspectwhattoolsare
beingcalled
and
withwhat
data
Usetoolsdefined
usingSelectAI
Agent
Modify
requestsand
responsesonthefly
Block
potentially
dangeroustoolcalls
Logall
interactionsforsecurity
auditing
Enforce
policies
atthe
protocol
level
Trackdataexfiltration
(anADBfeature)out-of-the-boxMulti-tenantMCPServersTools•
Catalog•Tools
defineviaSelectAI
Agent•
ML/Graph/Spatial•
Life-cycleoperations•
Database
metricsAutonomousAI
Databasefully-managed
MCPserverSecurity
layercommonto
HTTPaccessOracleAutonomousAIDatabase
CloudMCP
Client
Enforce
networkACLsCopyright
©2025,Oracle
and/or
itsaffiliatesSecur
ity
layer25Strengthenchange
reliability
Trackobject
dependenciesto
prevent
breakagesAccelerateonboardingExploreschema
usingAIsummariesfor
Pl/SQLcodeStayaudit-readyDetect
sensitive
dataforGDPR/CCPA
complianceModernizedocumentationGenerate
ER
diagramsand
PL/SQLdocumentationRoadmap:SelectAI
InspectBuilt-inagentsupportingdatabase
developersCopyright
©2025,Oracle
and/or
itsaffiliatesSQLOptimization+
SQL
PerformanceDiagnose
performance
issue
onSQL,generate
solutions
or
optimized
rewritten
SQLRoadmap:SelectAIAdminBuilt-inagentsupportingadministrative
activitiesEnabledviaaction‘admin,ApplicationPerformanceDiagnose
performance
issue
on
userapplicationDatabase
PerformanceDiagnose
performance
issueon
user
databaseCopyright
©2025,Oracle
and/or
itsaffiliatesCreate
URLsfortables,views,orSQL–securely
LIVE
data!Sharethe
URL
linkto
business
usersto•
View
it
inthe
browser•
View
it
inan
ExcelSpreadsheet•
View
it
inGoogle
SheetsNote:
ExcelandGoogleSheets
have
theMarketplaceAutonomous
Database
pluginhttps://dataaccess.adb.us-ashburn-1./adb/p/F5Sn..._example/data?view=tableTable
HyperlinksCopyright
©2025,Oracle
and/or
itsaffiliates28•Query
predicatesget
pushed
down
into
regional
ADB•Create
MVon
an
externaltable
to
cache
data
(built-in
caching
coming
soon)
Query
ExternaltableUSERCONFIGexternaltable
inADB@Region2
Query
ExternaltableUSERCONFIGexternaltable
inADB@Region3
Query
ExternaltableUSERCONFIGexternaltable
inADB@Region4
Query
ExternaltableSharedataacrossregionsUSER
CONFIG
external
table
in
ADB@Rgion1APP
USERCONFIGTABLETable
hve
rinkCopyright
©2025,Oracle
and/or
itsaffiliates|Confidential:
Internal/Restricted/Highly
RestrictedADB
inanyOCI
orAzure/Googleregion29For
more
information
on
Select
AI
…BlogsAnnouncing
OracleAutonomous
DatabaseSelectAI
Feedbackfor
enhanced
SQLquerygenerationBuild
Chatbots
usingtheOracleAutonomous
DatabaseSelectAI
Conversation
Management
APISupercharge
SQL:
UnleashingAI
Querieswith
OracleAutonomous
DatabaseSelectAI6SimpleTipsfor
BetterText-to-SQL
Generation
using
OracleAutonomous
DatabaseSelect
AI
Unlocking
DataforAllwithSidecar:
Empowering
Business
UserswithAI-Driven
InsightsDocumentation/en-us/iaas/autonomous-database-serverless/doc/sql-generation-ai-autonomous.htmlLiveLabsChatwithYour
Data
inAutonomous
Database
Using
GenerativeAIDevelop
apps
using
GenAI,Autonomous
Database,
and
ReactDevelopAI
RAGAppswithAutonomous
DatabaseSelect
AIVideosGetStartedwithSelectAI
onAutonomous
DatabaseSimplify
Developing
RAGApplicationsDropbox-AI
FinanceAssistantCopyright
©2025,Oracle
and/or
itsaffiliatesDevelopa
FinancialAssistantthatenables
natural-languagequeries
againstdata
inOracleAutonomousAI
Database.Enable
business
usersto
performflux/varianceanalysesandgenerate
reports
rapidly,without
relianceontechnicalteams.Sample
prompts•Quarter-to-date
(QTD)activity
byvendorforaspecified
GL
account•GLdetailsforthetopthreevendorswithin
a
GL
account
across
comparable
periods•FXactivity
bycurrencyacross
comparable
periods,
with
GL-level
detail
where
availableGoalCopyright
©2025,Oracle
and/or
itsaffiliatesOracleAutonomousAI
DatabasewithSelect
AIgenerated
SQLquery
augmentedpromptOCIGenerative
AISolutionArchitectureCopyright
©2025,Oracle
and/or
itsaffiliatesgeneratedSQLqueryuser
promptuser
promptUserAPEXresultAsk
OracleChatbotUserinterfacesCopyright
©2025,Oracle
and/or
itsaffiliatesFluxAnalysisBy
usingOracleGenerativeAIwithSelectAI,we
gain
several
advantages•Enables
natural
languagequeryingofdatabases,
removingthe
needfor
SQL
expertise•
Accelerates
developer
productivity
bygeneratingSQLqueriesfromsimple
prompts•Empowers
users
acrosstheorganizationtoaccess
data
intuitively
and
securely•
Supportsconversational
interactionsforcontext-awarefollow-upquestions•Integrateswith
leadingAI
providersto
usea
wide
range
of
LLMs
for
advancedAI-driven
insights•
AutomatesSQLgeneration,execution,and
explanationto
streamline
workflows•
Seamlessly
integratedwithinOracleAutonomousAI
Database,
requiring
noextra
setup•Drivesoperationalefficiencyand
informed
decision-making
throughAI-powered
analyticsValueCopyright
©2025,Oracle
and/or
itsaffiliates•DevelopedanOracleAPEX
appforflux
analysis•Builtan
Oracle
DigitalAssistant
(ODA)app•Embeddedtheapp
inVBCSforseamless
navigationfrom
FusionUpcoming
Initiatives•
IntegrateChatGPTwithSelectAIto
enable
natural-language
queriesvia
a
custom
GPT•DeploytheOracle
DigitalAssistant
(ODA)appas
a
Slack
chatbot•
ExpandSelectAI
usewithadditionalADB
datasets
andcontinue
prompttestingacross
use
cases•Implement
row-level
securityDelivered
MilestonesCopyright
©2025,Oracle
and/or
itsaffiliatesIntegrateChatGPTwithSelect
AICopyright
©2025,Oracle
and/or
itsaffiliatesOracle
Machine
LearningCopyright
©2025,Oracle
and/or
itsaffiliatesOracle
Machine
LearningMachine
learningalgorithms
inthedatabase
kernelsoftware•
Eliminatedata
movement•Simplifysolution
architectures•Speed
upsolutiondevelopment
anddeployment
for
SQL,
R,
Python,
RESTNo-code
user
interfaces
and
RESTservices
onAutonomousAI
Database•UIsfor
notebooks,
dataand
model
monitoring,
andAutoML•REST
servicesfor
model
deployment,
management,
monitoring,
biasdetectionBring-your-own-modelstoyourdatabaseOracle
MachineLearningdatabasefeatures
includedwithOracleAI
Database
and
Oracle
AutonomousAI
DatabaseOver30
scalablein-database
MLalgorithmsusingSQL,
R,and
Python
APIs,
andONNX-format
bring-your-
own-modeloptionsMLfunctionality
in
Oracle’s
convergeddatabase
withspatial,graph,
blockchain,AI
VectorSearch,JSONEasily
usewithOAS/OAC,
OracleAPEX,OCI
DS,
ODI,
SelectAI,and
othersCopyright
©2025,Oracleand/or
itsaffiliatesin-databaseMachine
LearningOMLServices
Data
Bias
DetectionADB
Serverless–
2024OML
Monitoring
UI
ADB
Serverless–
2023/24OML4R
2.0ADB
Serverless&ODB–
2023OML4Py
2.0ADB
Serverless
–
2023OML4RADB
Serverless
2022OML
Notebooks
ADB
Serverless-
2022Oracle
R
Enterprise
1.0Oracle
Database11gR2
-
2011DBMS_DATA_MININGOracle
Database
11gR2-2009Copyright
©2025,Oracle
and/or
itsaffiliates
OMLfor
Python
1.0
ADB
Serverless–
2021Oracle
Data
MinerSQL
Developer
Extension11gR2–2010Acquired
in
1999EvolutionofOML
NotebookswithGPUsADB
Serverless–
2024OracleAdvancedAnalyticsOptionOracle
Database–2011JavaAPIforin-databasealgorithmsOracle
Database9iR2-
2002OML4Py
2.1ADB
Serverless&ODB–
2025OML
Notebooks2.0
ADB
Serverless-
2023Oracle
Data
Miner
ADB
-
2022OML4SQLfor23.7ADB&ODB–
2025OML4Py
1.0Oracle
Database2022DBMS_DATA_MINING
Oracle
Database
11gR1-2007OMLServicesADB
Serverless–
2021OMLAutoML
UIADB
Serverless-
2021DM4J
User
Interface
Oracle
Database
10R2-
2005DBMS_DATA_MININGOracle
Database
10gR1-2004In-database,
parallelized,distributed
algorithms•No
extracting
data
to
separateML
engines•Scalabilityacross
cluster
nodes•Optimized
memory
utilization•Scoring
uses
Exadatastorage-tier
function
push-downoptimizations•
Batch/real-timescoringML
modelsasfirst-class
databaseobjects•Access
control
per
model•Audit
user
actions•
Export/
import
models
across
databases•
Ease
of
backup,
recovery,
andsecurityFastertime-to-marketthroughimmediatesolutiondeployment•
Use
prediction
operators
in
SQL
queries•
Make
predictionsfrom
R
and
Python•Deploy
models
on
ADB-S
using
no-code
and
REST
interfacesOracle
Machine
Learningin-database
MLalgorithmsCopyright
©2025,Oracle
and/or
itsaffiliates41OML:What’s
new
…Copyright
©2025,Oracle
and/or
itsaffiliatesPlus…integratedtextmining,explanatorypredictiondetails,partitionedmodels,automaticdatapreparation*Algorithmsupports
VECTORoutput
(23.7+)
+Algorithmsupports
VECTORinput(23.7+)Generalized
Linear
Model(GLM)+Neural
Network
+SupportVector
Machine(SVM)
+Linear
regressionw/featureselection/generation
XGBoost
(21c)DecisionTreeExplicitSemanticAnalysisLogistic
Regression
(GLM)Naïve
BayesNeural
NetworkRandom
ForestSupportVector
Machine(SVM)XGBoost
(21c)ExponentialSmoothingMultipleTimeSeries
(23ai)forTS
Regression
Includespopularmodelse.g.Holt-Winterswith
trends,seasonality,irregulartimeseriesXGBoost
(21c)Copyright
©2025,Oracle
and/or
itsaffiliatesIn-database
MLalgorithmssupportingvectorinputandoutputPrincipalCompAnalysis
(PCA)+Non-negative
Matrix
FactorizationSingularValue
Decomposition
(SVD)ExplicitSemanticAnalysis
(ESA)Minimum
Description
LengthRandom
ForestUnsupervised
Pairwise
KL
Divergence
CUR
DecompositionClusteringRankingRegressionFeature
Extraction
*ClassificationTimeSeriesAnomaly
DetectionRow
ImportanceAssociation
RulesAttribute
ImportanceSurvivalAnalysisHierarchical
K-Means
+HierarchicalO-ClusterExpectation
MaximizationOne-ClassSVMMSET-SPRT(21c)Expectation
Maximization
(23ai)CUR
DecompositionA
prioriXGBoost+++++Bring-your-own-modelLoadtransformers,classification,
regression,andclustering
modelsas
first-class
database
objectsOML4PyONNXPipelineandonnxclasses•
CreatesONNX-format
modelsfrom
Hugging
Facetransformers•
Automates
handlingof
requiredtransformer
pre-and
post-processingstepsfor
in-database
use•
Loads
modelsto
usewith
in-databaseONNX
Runtimeorexports
modelto
fileimport
omlfromoml.utilsimport
ONNXPipelinepipeline=ONNXPipeline(model_name="sentence-transformers/all-MiniLM-L6-v2")pipeline.export2db("all-MiniLM-L6-v2-bundle")pipeline.export2file("all-MiniLM-L6-v2-bundle")onnx_model=oml.onnx(onnx_file=
"ALL-MINILM-L6-V2-bundle.onnx",mining_function=
"embedding",model_input={"input":["text_data"]})onnx_model.load2db("minilm")23aiOracleAIDatabasewithin-databaseONNXRuntimeBlog:AnnouncingOracle
Machine
Learningfor
Python2.1Copyright
©2025,Oracle
and/or
itsaffiliatesVectordatatype
oml.Vector•Use
DataFrame
proxy
objectsfor
da
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