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In This Edition:
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Earn $20,000 a Year from
Your AI-Powered
Newsletter
-
Is Gen-Z AI Savvy Enough
to Oust Millennials from
Their Jobs?
-
Sora: Insights from a
Survey on Text-to-Video
Generation
-
Microsoft's AI-Driven
Windows: 40+ Models
Redefine UX
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⚡ AI Tools To Boost Your
Productivity
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Investment &
Fundraising
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Web Picks
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Startup News
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AI INSIGHTS
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Is Gen-Z AI
Savvy Enough to
Oust Millennials
from Their
Jobs?
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The 2024 Annual
Work Trend Index
by Microsoft and
LinkedIn reveals a
significant
increase in AI use
among global
knowledge workers,
with generative AI
adoption doubling
in six months.
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Managers are
increasingly
prioritizing AI
skills over
experience,
potentially
favoring Gen-Z
hires over
Millennials.
However, many
businesses aren't
investing in AI
tools or training,
leading to risks
and challenges,
especially for
smaller
enterprises
relying on
employee-provided
AI tools.
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Key
Highlights:
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AI Penetration
in the
Workplace:
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Benefits of
AI:
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90
percent of
AI users say
it saves
time.
-
85
percent
claim it
boosts focus
on important
tasks.
-
84
percent
report
increased
creativity
due to
AI.
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Hiring
Preferences:
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71
percent of
managers
prefer
hiring young
workers with
AI skills
over
experienced
older
workers.
-
66
percent
would not
hire someone
lacking AI
skills.
-
Gen-Z
Career
Advancement:
-
77
percent of
leaders
would give
greater
responsibilities
to Gen-Z
employees
with AI
expertise.
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Limitations and
Risks:
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45
percent of
U.S.
executives
aren't
investing in
AI tools for
employees.
-
Only 39
percent of
global AI
users
receive
relevant
training
from their
companies.
-
78
percent of
AI-using
employees
bring their
own tools,
rising to 80
percent in
small and
medium-sized
businesses.
-
Potential
risks
include data
leaks and
security
concerns.
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✨Why This Is
Important:
The increasing
reliance on AI
skills is
reshaping the job
market, placing
younger,
tech-savvy workers
in higher demand
and potentially
displacing
experienced
employees. This
shift underscores
the need for
businesses to
invest in AI
training and tools
to stay
competitive and
safeguard their
proprietary data.
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Read the
Report
Here.
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AI RESOURCES
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Exploring Sora:
Insights from a
Survey on
Text-to-Video
Generation
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In recent years,
the field of
text-to-video
generation has
garnered
significant
attention due to
its potential to
revolutionize
content creation
across various
domains. This
survey delves into
the intricacies of
disassembling the
state-of-the-art
model, Sora,
within the
text-to-video
generation
landscape.
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The Survey aims
to provide a
comprehensive
review of existing
literature,
addressing the
core question:
"From Sora, What
Can We See?" Our exploration
begins with an
overview of
general
algorithms,
setting the
foundation for a
deeper
investigation.
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The literature is
meticulously
categorized into
three distinct
dimensions: evolutionary
generators, excellent
pursuit, and realistic
panorama. This structured
approach allows
for a thorough
examination of the
diverse
methodologies and
innovations
shaping the field.
Furthermore, it
organizes the
widely used
datasets and
metrics essential
for evaluating
text-to-video
generation
models.
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Key
Highlights:
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-
Comprehensive
Review:
Detailed
exploration
of existing
literature
in
text-to-video
generation.
-
Categorization:
Literature
categorized
into three
dimensions:
evolutionary
generators,
excellent
pursuit, and
realistic
panorama.
-
Datasets
and
Metrics:
Detailed
organization
of widely
used
datasets and
evaluation
metrics.
-
Challenges
and Open
Problems:
Identification
of key
challenges
and open
research
questions in
the
field.
-
Future
Directions:
Proposal of
potential
future
directions
for research
and
development.
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✨Why This is
Important:
The significance
of this survey
lies in its
potential to
catalyze
advancements in
the burgeoning
field of
text-to-video
generation. As
digital content
continues to
dominate various
aspects of daily
life, from
entertainment to
education, the
ability to
generate
high-quality
videos from
textual
descriptions
presents numerous
opportunities and
challenges.
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For those
interested in a
more exhaustive
list of studies
related to
text-to-video
generation, a
comprehensive
repository is
available at Awesome
Text-to-Video
Generation.
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How Microsoft's
New AI-Driven
Windows With 40+
Models Will
Redefine User
Experience
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Microsoft
CEO
Nadella
on
AI
PC
Plans,
Taking
on
Apple,
Fostering
Competition
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In a recent
announcement,
Satya Nadella, the
CEO of Microsoft,
unveiled a new
version of Windows
integrated with AI
capabilities.
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This advanced
Windows iteration
features a
built-in AI agent,
enabled by a newly
added neural
processing unit
(NPU) designed to
handle AI models
directly on the
device.
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With over 40 AI models
pre-loaded, this update
brings
functionalities
such as a
photographic
memory feature
called Recall and
an AI assistant
named
Co-pilot.
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These innovations
aim to enhance
user experience by
assisting with
various tasks,
from improving
gaming performance
in Minecraft to
aiding creative
endeavors in
Microsoft
Paint.
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Key
Highlights
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Introduction of
AI-Powered
Windows:
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Local
Processing of AI
Models:
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Pre-loaded AI
Models:
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Versatile AI
Assistance:
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Co-pilot
acts as a
shell
affordance,
aiding users
in various
tasks.
-
Examples
include
enhancing
performance
in Minecraft
and
assisting
with
creative
projects in Microsoft
Paint.
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✨Why This is
Important:
This AI-powered
version of Windows
represents a
significant leap
in personal
computing. By
integrating an NPU
for local AI
processing,
Microsoft enhances
the efficiency and
responsiveness of
AI-driven tasks,
providing a
seamless and
powerful user
experience.
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Features like
Recall and
Co-pilot
demonstrate the
practical
applications of AI
in everyday tasks,
potentially
transforming how
users interact
with their PCs.
This innovation
not only boosts
productivity but
also showcases the
growing importance
of AI in making
technology more
intuitive and
supportive in
diverse
activities.
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Gif by ShalitaGrant on Giphy
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