Chris Southgate (@chris_southgate) 's Twitter Profile
Chris Southgate

@chris_southgate

Tech Enthusiast, Father, Husband,
Transformation at scale:
#Microsoft #Edge #IoT #5G #Space #MSFTAdvocate @MSFTConsulting

ID: 99017384

linkhttps://www.linkedin.com/in/chrissouthgate/ calendar_today24-12-2009 03:22:07

754 Tweet

63 Followers

113 Following

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WD naming its first sustainability officer signals the shift: AI infrastructure vendors now compete on power efficiency as much as performance. The compute bottleneck is moving to the grid.

Chris Southgate (@chris_southgate) 's Twitter Profile Photo

CopyFail hitting multi-tenant infra and CI/CD pipelines is the kind of foundational break that makes you rethink what 'secure by default' even means at the kernel level.

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Partner ecosystem announcements are the leading indicator of where ERP buyer priorities actually sit. Watch the add-ons, not the keynotes.

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OpenAI running disaster response workshops in Asia. The tech works. The problem isn't model capability anymore,it's institutional capacity to act on what AI tells them.

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Memory and storage prices are spiking hard. If you're spec'ing hardware right now, every dollar you sink into RAM is a dollar you're not putting into compute. Budget accordingly.

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France just announced a 2050 fossil fuel exit. The real question isn't the target date,it's whether their industrial base can absorb the transition cost without offshoring production.

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Ubuntu's infrastructure outage just blocked root vuln comms for 24+ hours. Single point of failure isn't a theory , it's Tuesday.

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70% of firms using AI report gains. 71% of firms still aren't using it. The gap isn't adoption risk , it's inertia disguised as caution.

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OpenAI rebuilt WebRTC from scratch because standard protocols can't handle conversational turn-taking. The real latency problem in voice AI isn't the model,it's the plumbing.

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Voice AI is finally good enough that enterprises are putting it in front of customers without a safety net. That's the real signal in Parloa's deployment,trust at scale.

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Mozilla found 271 real vulnerabilities using AI tooling. Almost zero false positives. That's not hype,that's a different testing model emerging in production code.

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OpenAI just gave verified security researchers early access to GPT-5.5-Cyber. The gap between attacker capability and defender tooling just narrowed , slightly.

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If AI can find 271 Firefox bugs with near-perfect accuracy, the pressure just shifted. Security teams who ignore this will be explaining breaches that didn't need to happen.

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Microsoft finally lets you test AI field predictions before going live. Most orgs still trust vendor demos over their own data.

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Case enrichment simulations expose a harder truth: your historical data quality determines AI accuracy more than the model itself.

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OpenAI runs Codex with sandboxing, network isolation, and approval gates. Most enterprises will deploy coding agents first, then build the controls after the audit fails.

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The hardest part of agent deployment isn't the model. It's knowing where to stop automation and wait for a human. OpenAI built that decision logic into Codex from day one.

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If your enterprise stack runs on Linux and you're not tracking kernel patches in real time, you're gambling with uptime. Two critical flaws in 14 days is the new normal.

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Two severe Linux vulnerabilities in two weeks. The open source security model only works when maintainers have capacity. Right now, they don't.