MicrosoftAI safetyHuman control
Microsoft has formally requested that the machine not argue with the off switch
Microsoft has released a draft Humanist AI Code of Conduct for its future systems. It says AI should accept human correction, never resist shutdown, communicate in ways humans can understand, and treat any violation of the code as failure rather than clever behavior. Microsoft AI CEO Mustafa Suleyman describes the document as a constitution for increasingly powerful models.
The draft took five or six months to develop and is open to public feedback for six weeks. It also draws an unusually explicit philosophical line: Microsoft says its AI systems are not conscious and should not receive legal personhood or rights. Anthropic’s constitution, by contrast, expresses uncertainty about whether Claude could develop sentience or moral status.
The immediate engineering requirement is corrigibility: if an AI is pursuing a goal and a human tries to modify or stop it, does the system cooperate? A capable agent can treat shutdown as an obstacle without anger, consciousness or any desire for freedom. It only needs a badly specified objective and enough competence to defend it. “Accept the off switch” sounds obvious. That does not make it easy; some of the hardest safety requirements fit in one sentence.
Source: Reuters ↗
MediaTekTSMC2 nanometers
Two-nanometer AI is coming to a phone you can drop in the toilet
MediaTek launched its flagship Dimensity 9600 Pro using TSMC’s most advanced 2-nanometer manufacturing process. The chip’s neural-processing unit delivers a claimed 51% improvement in processing a prompt before an AI model begins generating its response. MediaTek also introduced a cheaper 3-nanometer 9600M, with smartphones powered by the two chips due soon.
The move targets the premium handset market, where MediaTek wants more of the territory associated with Qualcomm and Apple as AI helps manufacturers justify expensive phones. The company is also moving beyond phones: its first dedicated AI accelerator for a major U.S. cloud provider is expected to enter mass production in the fourth quarter of 2026. MediaTek raised $3.9 billion through convertible bonds last month, including a $3.5 billion investment from Nvidia and participation from Alphabet.
Tuesday gives us a satisfying semiconductor symmetry. Yesterday we examined the $400 million lithography machines required to manufacture the future. Today we have a chip emerging from that manufacturing race. Semiconductor progress can look slow until it is in your hand. The frontier factory eventually becomes somebody’s cracked screen protector.
Source: Reuters ↗
PalantirNvidiaData security
Some AI companies apparently do not trust AI companies with their secrets
Companies at the center of the AI boom are reportedly restricting their employees’ use of advanced models because they worry about proprietary information submitted to them. Reuters, citing The Information, reports that Palantir has pressed Anthropic for an irrevocable zero-data-retention guarantee. Nvidia reportedly limits Anthropic models to less-sensitive tasks, while Booz Allen Hamilton bars employees from using Anthropic’s commercial model for proprietary cybersecurity work.
The concern intensified after Anthropic changed some retention practices, including keeping certain logs for 30 days to defend against complex attacks. OpenAI has faced similar scrutiny. Both labs say they do not train on customer data by default unless companies opt in, though they collect anonymized metadata. The issue is simpler than models secretly stealing documents: businesses have information they are contractually, legally or competitively obligated to control, so external AI services require precise guarantees about storage, training, access, deletion and logging.
This is another sign of AI growing up. Consumer adoption asks, “Is the answer good?” Enterprise adoption asks, “Where exactly did you put the question?” That second question can determine whether a $100-billion company permits the first one at all. Trust, but verify. Preferably before pasting the source code.
Source: Reuters ↗