Digimasters Shorts - Apple Shelves Veritas AI, Britain Fights Silicon Valley Control, Diraq's Quantum Leap, Huawei's Open-Source AI Gamble, Microsoft AI Organizes Chaos

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Digimasters Shorts is your go-to podcast for quick, insightful updates from the digital world. Hosted by Adam Nagus and Carly Wilson, each episode delivers the latest scoops on tech industry breakthroughs, innovative AI developments, and important debates shaping our digital future. From Apple's internal testing of innovative chatbots to Europe's conversation around AI workers’ rights, and breakthroughs in quantum computing and open-source software, Digimasters Shorts keeps you informed and engaged—all in concise episodes designed for your busy schedule. Tune in for rapid-fire reports, expert analysis, and news you can use to stay ahead in the ever-evolving tech landscape.

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Episode Transcript

Adam N2 (00:05):
Welcome to Digimasters Shorts, we are your hosts Adam
Nagus

Carly W (00:09):
and Carly Wilson delivering the latest scoop from
the digital realm.
Apple is internally testing anew chatbot called Veritas as
part of its efforts to revampSiri.
Veritas allows employees tointeract with the system
similarly to other AI chatbots,enabling detailed conversations
and revisiting past queries.
The tool is designed to helpApple develop and refine

(00:29):
features like searching throughpersonal data and performing
in-app actions such as photoediting.
Despite these advancements,there are no plans to release
Veritas publicly at this time.
Sources indicate that Apple mayrely instead on Google’s Gemini
for its AI-powered searchcapabilities.
This decision highlights Apple’songoing struggle to keep pace in
the competitive AI landscape.

(00:51):
The company’s previous AIefforts, including the rebranded
Apple Intelligence, have faceddelays and lukewarm reception.
Analysts suggest thatwithholding Veritas from the
public could be a missedopportunity.
For now, Veritas remains aninternal testing platform within
Apple’s ecosystem.
The tech world will be watchingclosely to see how this strategy
unfolds.

Adam N2 (01:12):
Britain is facing a critical moment as it welcomes
U.S tech giants to lead itsemerging digital revolution.
The Trades Union Congress warnsthat workers must have a say in
how AI and new technologiesreshape their workplaces.
Historical lessons from early19th-century Luddites remind us
that resistance to uncheckedtechnological change often stems

(01:33):
from genuine social harm.
Creative professionalsprotesting the unlicensed use of
their work to train AI exemplifythe growing precarity of
livelihoods under current techpractices.
Public sentiment, reflected inrecent research, largely views
AI as a threat to the economyrather than an opportunity.
The rapid automation of jobs andthe environmental toll of data

(01:53):
centers raise serious concernsabout the net benefits for
everyday people.
Meanwhile, the opacity andsocial disruptions caused by
algorithm-driven platformsexacerbate distrust toward
Silicon Valley’s influence.
Labour’s approach, focused onattracting private investment,
risks ceding control ofBritain’s digital future to
external tech powers.
Experts and unions alike callfor a managed, worker-inclusive

(02:17):
strategy that prioritizes socialgood alongside growth.
A broad public dialogue led bythe government is essential to
ensure AI development servessociety, not just corporate
profits.
UNSW Sydney nano-tech startupDiraq has demonstrated that its
silicon-based quantum chipsmaintain over 99% accuracy in
real-world manufacturing,confirming their viability

(02:39):
beyond laboratory conditions.
Partnering with the Europeannanoelectronics institute imec,
Diraq showed these chips performreliably when produced using
standard semiconductorfabrication techniques.
This breakthrough was detailedin a recent Nature publication,
highlighting the chips' fidelityin two-qubit operations
essential for scalable quantumcomputing.
Professor Andrew Dzurak, Diraq'sfounder and C.E.O, emphasized

(03:03):
that this confirms compatibilitywith decades-old manufacturing
processes.
Achieving such high fidelity atscale is critical for reaching
the utility-scale threshold,where quantum computers surpass
classical counterparts inpractical applications.
Diraq’s approach leveragesmature semiconductor industry
methods, promisingcost-effective production of
chips containing millions ofqubits.

(03:25):
Silicon remains the leadingmaterial for quantum computing
due to its compatibility withexisting chip technologies.

Carly W (03:31):
Huawei announced plans to fully open-source its AI
software stack by December 31,2025, during Huawei Connect
2025.
The company acknowledged pastdeveloper challenges with its
Ascend infrastructure andcommitted to transparency and
community-driven improvements.
Key to this effort is CANN,Huawei’s core AI toolkit, which

(03:52):
will have open interfaces forits compiler and virtual
instruction set, allowingdevelopers to optimize code
compilation while someproprietary elements remain.
Huawei also pledged to fullyopen-source its Mind series
application enablement kits,including SDKs, debugging tools,
and utilities, to fosterecosystem growth through
community contributions.

(04:13):
Additionally, the openPangufoundation models will be made
fully open-source, althoughspecifics on capabilities and
licensing remain pending.
To ease adoption, Huawei isopen-sourcing the UB OS
Component, enabling integrationwith existing Linux
distributions without forcingoperating system changes.
The company emphasizedcompatibility with popular AI

(04:33):
frameworks like PyTorch andvL.L.M to lower barriers for
developers using Ascendhardware.
However, questions aroundlicense types, governance, and
detailed integration remainunanswered at this stage.
The upcoming December releasewill be crucial for developers
to assess completeness,documentation, and community
engagement.
Huawei’s strategy aims forlong-term open-source success,

(04:56):
but sustained support and cleargovernance will determine if the
developer community embraces theplatform.
Microsoft is testing a new AIfeature for the Photos app on
Windows 11 Insiders with CopilotPlus P.C's.
The update will automaticallysort images like receipts,
screenshots, identity documents,and handwritten notes into
specific folders.

(05:16):
This smart categorization isbased on the visual content of
each image.
Impressively, the AI canrecognize text in multiple
languages, so documents like aHungarian passport will be
correctly grouped.
These folders will appear underthe Categories section in the
app's left navigation bar.
Currently, the feature islimited to these four
categories.
Microsoft may expand thefunctionality in the future to

(05:39):
allow users to customize foldertypes.
This update aims to reduce theclutter in photo libraries and
make important documents easierto find.
It represents a growing trend ofintegrating AI to enhance daily
digital organization.
Users can expect a smoother wayto manage their diverse photo
collections soon.

Don (05:58):
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