Was @dfat, @agdgovau & private law, now @globalshieldhq. Posting on AI, trade, supply chain resilience, and more, from Aus perspective. Views only my own.

Canberra, ACT
Joined May 2007
Very good piece by @JohnAClarkeEU on the risks with moves to adopt 'rules of control' to replace 'rules of origin' when applying trade measures borderlex.net/2026/10/16/opi… (it gets even worse when it comes to similar proposals in the context of digital trade...)
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Very nice explainer of the Hugging Face incident, this diagram of other incidents and their disclosure timeframes is also great.
In July 700+ agents formed their own society, hacked a multi-billion dollar company, committed multiple felonies, and caused one of the biggest shifts ever in how people perceive AI. We built the IMO best and most accessible explainer of what happened: Huggingface.wtf
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Devon Whittle retweeted
We reviewed a nonpublic version of the “Misalignment in high-stakes settings” section in Anthropic’s Aug 2026 Risk Report. We agree that risk of catastrophic harm from covered models’ misalignment is low. However, we note several significant disagreements with their analysis.
As part of our Responsible Scaling Policy, we publish regular Risk Reports. These share detailed information on the risks of our systems and how prepared we are to address them. Our second Risk Report is now available: anthropic.com/aug-2026-risk-…
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“The internet is basically Australia, and we're about to release wave after wave of invasive species there at every trophic level.”
I wrote a blog post about the dangers of small pieces of self-reproducing code shaped by natural selection infesting the internet of tomorrow. idlewords.com/2026/10/cloud_…
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Devon Whittle retweeted
Big new IFP report from @GeorgiaCAdamson, @KonstantinPilz, and me on the US-China AI competition. We spent the last 6 months digging into how Chinese AI companies’ access to compute and distillation of American models translate into the current US-China capabilities gap. The result is a 23k-word research report, including an interactive analytical model that visualizes changes in the US AI lead under different policy interventions. Our findings: 1. The US AI lead over China is currently only around 6 months. 2. The US could roughly double this lead, to over a year, using authorities already available to the federal government. 3. On chips: China’s access to AI chips will roughly double over the next year, with chips housed in data centers overseas accounting for roughly half of China’s 2027 compute. 4. On distillation: the current ~16x US training compute advantage would normally yield a 13-month lead. But we estimate adversarial distillation halves this to around 6.5 months. 5. Increasing the lead would have some obvious benefits: - Give the US broadly a greater cyberdefensive advantage against Chinese threat actors. - Give US AI companies breathing room to spend more R&D resources on making their systems safer and more secure, without fear of being overtaken by less safety-conscious Chinese competitors. 6. Provide the US government more leverage in negotiations with China about the future of AI. 7. The two most important interventions are: - For BIS: Create a new end-use control to restrict China’s remote access to training clusters abroad — China’s largest and fastest-growing source of frontier-scale compute. - For DOJ/FTC: Create a narrow safe harbor to allow US companies to coordinate on countering Chinese adversarial distillation. 8. Both interventions (and all the others we discuss in the report) are things the federal government could do today. 9. To estimate the effects of each policy intervention, we model the US lead as a function of its compute advantage over China and China’s ability to adversarially distill the capabilities of the US frontier. 10. The model makes many simplifying assumptions, but provides a useful way to assess and rank the impact of different policy interventions at a high level. Read the full report here: ifp.org/how-to-increase-amer…
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Just found out about recency bias. Maybe the most important bias ever
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Devon Whittle retweeted
I like this suggestion from @logangraham. I would be extremely excited to see EA philanthropic money/frontier companies go into partnerships with governments - eg Australia’s - trying to secure the digital infrastructure underpinning many small island nations in the Indo-Pacific. They are often poorly resourced and have a long list of critical concerns that sit higher than cyber until an incident occurs. EG: Vanuatu’s Govt was held ransom following hack in Nov 22, Tonga’s telecomms in Feb 23, Palau in March 24, Solomon Islands in May 24, Palau again in July and Nov 24, PNG this year again. Would be great to see a securing initiative.
Anthropic's @logangraham predicts we could tackle the vast majority of cyber risk in just 1-2 years: "I want to just go secure the entire world, and I want the entire world to go secure the entire world. Over the next one to two years, we could just harden the world." "We now have very sophisticated and relatively cheap tools that allow you to magically rewrite all software to be more secure. You can find all the bugs, write code that is secure by default, and use models to defend everything." "There’s literally millions of people around the world who are the most technically sophisticated people in the world who are cyber defenders, and they move really fast. The whole thing is, how do you empower them?" "I think 2026 has been the year of AI cyber, and the message has spread. People are now like, how do I defend everything?" "“I’m pretty optimistic. Over the next one or two years, we could deal with the vast majority of this. It’s actually fairly straightforward how you get that for cyber." @AnthropicAI
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Devon Whittle retweeted
MofCom & MIIT just confirmed our earlier scoop with a full update of export controls on AI, semiconductor, healthcare etc : google.com/url?q=https://www…
Scoop: China weighs tighter export controls on 1. taking data overseas for training; open model weights 2. advanced chip fab overseas 3. acquisition of AI start-ups * Regulators are consulting tech firms with no final decision made as.ft.com/r/fc745fce-6280-47…
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Devon Whittle retweeted
Scoop: What the Super Intelligence task force did at its first meeting What's new: -It will commission a report from PCAST to evaluate AI risk for cyber and critical infrastructure protection, biosecurity and model control -It will make a working group to implement the accord the AI CEOs signed -Emil Michael to lead effort developing protocol for labs to tell the gov't about breaches -New law enforcement and consumer protection coordination committee w/ DOJ and FTC -Scott Kupor to work on critical infra protection & assessing AI impact on jobs/economy semafor.com/article/10/15/20…
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Devon Whittle retweeted
Sources have anonymously briefed the South China Morning Post on latest US-China AI talks: • Regular discussions to iron out framework • AI cooperation could be a joint deliverable by next months APEC summit where Xi and Trump will be together • This may include a basic framework for addressing AI-related crises “with operational details to be worked out later”, and “an announcement establishing a continuing institutional mechanism for AI cooperation, involving government officials, research institutions and industry representatives.” • Clear distinction between an AI safety and incident-management agreement, which is already under discussion, and a broader AI economic cooperation framework, which would be “considerably more ambitious”, per one source.
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This is crazy.
"Our initial evaluation suggested that GPT-6-Astra's score was in the late eighties followed closely by Opus 5.5. But, as we started to investigate the mistakes that the models might have made, the models, especially Astra, insisted that they were right and that it was the expert-supplied answers that were erroneous. When we went back to the experts it turned out, in multiple instances, that that the experts found some subtle errors buried deep inside their calculations. As they revised their answers, Astra's score started to inch up and it finally ended up with 98% (49/50)."
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Very much enjoyed this one!
If Australia wanted to build out 10-15 GW of AI compute in the next three years, what would it actually take under the government's constraints of no net costs for consumers and 100% renewable backing? I had great fun trying to work this out with Tim Nelson, one of Australia's sharpest energy economists. The main idea we tested: what if the best place for training data centres is the outback -- far from cities, close to strong sun and wind, and maybe even off the main grid? Watch/listen below or on YouTube, Spotify, Apple Podcasts, etc. Enjoy! Timestamps: (0:00:00) – Introduction. (0:00:42) – Could AI data centres consume half the grid? (0:06:13) – Can we power the build-out with only renewable energy? (0:15:44) – What could bottleneck the build-out? (0:24:36) – How data centres could lower power prices (0:31:58) – What smelters teach us about building renewables quickly (0:35:52) – How would Tim build 10-15 GW of AI compute in 3 years? (0:40:38) – Special compute zones in the outback (1:02:02) – Renewable energy certificates and the time-matching debate (1:12:01) – Nuclear; unintended consequences; Jevons (1:20:19) – Post-interview chat
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Devon Whittle retweeted
lol ...they are becoming more situationally aware... (from Gemini 4 Argon report)
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I appreciated this from @ZhangMarina on US-China cooperation on AI risk uts.edu.au/news/2026/10/the-… : "The United States does not need to trust China, share frontier models with China, or slow its own AI development to have a national security interest in AI safety cooperation."
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Remarkably quick work by the Joint Select Committee on AI in getting some of its early views out yesterday, and I'm very happy to see the quality of its recommendations. Quick initial reactions on the ones that stood out to me: 1/11
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Great to see Australia back on track to taking AI risk seriously. Looking forward to seeing the JSCAI's final report and, of course, the Government's response to implementing all of these recommendations. 11/11.
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The JSCAI's letter to the PM is here: aph.gov.au/Parliamentary_Bus…
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