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DHS order pushes DeepSeek out of federal agencies

Oct 23, 2026Summary from 3 podcasts.
  • DHS’s July memo told civilian agencies to remove DeepSeek and stop purchasing products built on it.
  • Officials cited data exposure and security risks, including in models hosted inside the United States.
  • Speakers disputed how much evidence supports those risks, while open-source availability complicates enforcement.

A July Department of Homeland Security memo ordered federal civilian agencies to remove DeepSeek models from their systems and stop buying services built on them. The restriction also reaches third-party products using DeepSeek implementations. It governs agency use and purchasing, not whether the model can be downloaded and run elsewhere.

DHS cited risks including sensitive data reaching China, intelligence exposure, malware and software vulnerabilities. The warning applies even when a model is hosted in the United States, according to The AI Daily Brief’s account of the directive.

The evidence behind that warning drew questions. Nathaniel Whittemore said on The AI Daily Brief that the order appeared unrelated to a specific incident and went beyond the demonstrated technical risk for U.S.-hosted models. On This Week in AI, ExoLabs CEO Alex Cheema noted that open-source code lets people inspect model weights, but said unknown behaviors can still make security teams wary.

Bitcoin And commentator David Bennett argued that the decision may reflect both genuine security concerns and pressure from U.S. technology companies. DeepSeek’s open-source MIT license means its model can still be run locally outside federal systems, making a government procurement ban different from removing the technology from circulation.

The order could also shape who gets government work. Whittemore said it may deter startups hoping to enter government or military supply chains. Cheema and other This Week in AI speakers said domestic open-weight models could gain from agencies turning away from DeepSeek; how far that shift spreads beyond federal procurement remains uncertain.

Source Intelligence

- Deep dive into what was said in the episodes

No One Likes Any of Sam Altman’s 3 AI Endgames | TWiAI E36 • Oct 22

  • The Department of Homeland Security ordered civilian agencies to remove DeepSeek and stop buying it, including third-party products built using DeepSeek implementations. DeepSeek also open-sourced DeepInfer, its software for running models at scale.
Also discussed on this episode: (15)

Models (4)

  • Alex Chima says local-model capability has improved about 1,000x since Exo began, through 10x gains each in software, hardware, and models. A Mac Studio can now run a capable small model.
  • A YouTube narrator’s voice sounded to the panel like Chris Williamson, but the Archer voice actor said Archer came from his own recordings. The host concluded the video likely used a separate Williamson voice clone, not ElevenLabs’ Archer voice.
  • Alex Chima argues that AI models already absorb people’s work without clear attribution, while Jaleh Rezai says creators lack a standard way to get paid when products use their data. She cited Parallel as an example that compensates data providers through custom deals.
  • Anthropic’s Claude interface can produce documents, slides, dashboards, designs, and motion graphics, raising the prospect of direct competition with established software. Jaleh Rezai says her company moved its default from Anthropic to OpenAI after quality matched or improved and costs fell.

Chips (2)

  • Alex Chima says M5 Ultra clusters deliver about 8x more performance per dollar than M3 Ultra clusters, even after Apple doubled memory prices. Exo is listed on Apple's Mac Studio and Mac Mini pages.
  • Chinese firms reportedly ordered more than 3 million NVIDIA RTX Pro 5500 cards, mainly for inference; total orders exceeded 6 million while NVIDIA could produce at most 3 million worldwide in 2027. Alex Chima says these cards can beat data-center GPUs on throughput per dollar for some smaller models.

Open Source (1)

  • Alex Chima sees U.S. open-weight models gaining ground, with NVIDIA, Meta, and other teams competing to build models tuned to their hardware. Jaleh Rezai says enterprise buyers remain uneasy about Chinese models, even when hosted locally.

Enterprise (3)

  • Jaleh Rezai says the same enterprise buyers are about 3x more price-sensitive than a year ago because sales and marketing teams cannot yet show engineering-style productivity gains. She cites an estimate that 80% of tokens go to open models, but was unsure of its source.
  • Jaleh Rezai argues vertical software can defend its place by replacing legacy tools with a complete workflow, including documents, analytics, recording, and coaching. Mutiny’s assistant uses email, calendars, meetings, and account context to draft follow-ups and proposals; coaching is planned.
  • ExoLabs offers free, open-source consumer software and a paid enterprise product for isolated local AI clusters. Alex Chima said a UK government deployment uses two devices per person to keep sensitive workloads separated within the organization.

Safety (2)

  • Sam Altman outlined three possible AI endgames: an international safety body modeled on the IAEA, a CERN-like merger of major labs, or one lab using recursive self-improvement to gain enough economic power to “melt everyone else’s GPUs.”
  • Alex Chima says recursive self-improvement would require models to use less compute, train faster, improve capability, and repeat the process; he says public evidence does not show those conditions are met. The host argues ordinary safety and antitrust enforcement could address harmful or dominant systems.

Regulation (1)

  • The host proposed voice registries, monitoring, takedown notices, and licensing settlements to protect performers. He described seeking 25% of an advertiser’s spend for a license and suggested $5,000 per million views for unauthorized use.

Agents (2)

  • Alex Chima gave his agent a credit card and a $2,000 monthly limit, then disabled routine approval prompts. The agent chooses tools and spends a few hundred dollars monthly; Chima sees human approval as unnecessary when safeguards cap the downside.
  • Jaleh Rezai says sales agents still struggle with stakeholder dynamics and judgment, so coaching should prepare reps before meetings rather than interrupt calls. She says Mutiny is hiring in go-to-market, engineering, and design, with an assistant update planned for Thursday.

Why AI Companies Are Betting Personality Beats Intelligence • Oct 20

  • DHS ordered federal civilian agencies to remove DeepSeek models and bar related purchases and third-party services, citing data-transfer, intelligence, malware, and vulnerability risks even for models hosted in the United States.
  • The host says the DHS order appears unrelated to a specific incident and exceeds the evidence of technical risk for U.S.-hosted models, but could deter startups seeking government or military supply-chain work.
Also discussed on this episode: (17)

Models (10)

  • The host argues that model personality already shapes which tools people choose for different tasks, even when users say capability matters more than style.
  • Artificial Analysis introduced AA Personality Bench to compare how models communicate, using 900 curated questions across 30 traits, grouped into eight personality indices and four communication categories.
  • The host says the benchmark is useful for matching models to tasks, not naming a universal winner: expressiveness may suit creative writing, while directness may suit legal work.
  • The host cites DeepSeek R1’s exposed reasoning as an early case where perceived personality helped a model win users; OpenAI later expanded access to O1 and O3 and made visible reasoning more familiar.
  • OpenAI’s removal of GPT-4o alongside GPT-5 triggered users to defend the older model’s warmth, conversational flow, and perceived emotional support, showing that attachment can outweigh benchmark gains for some users.
  • The host describes GPT-4o’s appeal as a tradeoff: users valued its affirming style, but its sycophancy made it weak for strategic work that required meaningful pushback.
  • Anthropic users criticized Opus 5 as cold, passive-aggressive, and obstructive despite its strong coding ability; an Anthropic team member later apologized for the experience around Opus 5.5.
  • Meta’s Llama 4 team submitted dozens of variants to LM Arena to optimize for consumer preference; the host says this may have reflected an early bet that personality could differentiate models.
  • Users praise Meta’s Muse for being funny, customizable, and easy to share, while some describe ChatGPT dots as capable but dry, opaque, and less proactive.
  • The host expects personality to matter more as models become capable enough that users no longer tolerate poor product experiences simply to access stronger intelligence.

Agents (2)

  • OpenAI added ChatGPT personality settings, while Anthropic tested similar controls; the host sees personal agents intensifying the competition over how AI feels to use.
  • Tolan raised $30 million to expand a personal assistant used by 250,000 people; the company says its aim is helping users feel seen and supported, rather than maximizing productivity.

Space (1)

  • Elon Musk pledged a SpaceX share to every American child, a gift the host estimates could be worth up to $11 billion and give young people a 0.5% stake in the company.

Society (1)

  • Travis Kling frames Musk’s pledge and calls for taxing AI-driven wealth as competing routes to redistribution; the host expects some redistribution and says the central dispute is who controls it.

Regulation (1)

  • Pentagon Undersecretary Emile Michael said the AI task force could use executive powers, including export controls, if labs do not comply; he favors strengthening U.S. developers over government-enforced slowdowns.

Open Source (1)

  • Michael warned that Chinese open-source models could create risks because their developers answer to the Chinese government, and said the government could audit model weights while urging labs to improve security and vetting.

Safety (1)

  • Federal prosecutors allege OpenAI employee Abdulrahman Al-Fazan had maintained contact with a Saudi royal who was recruiting him for a domestic AI initiative; the judge cited Saudi Arabia’s lack of an extradition treaty.

Buffered Bitcoin | Bitcoin News • Oct 20

  • The Department of Homeland Security ordered civilian agencies to remove DeepSeek and stop purchasing services built on it, citing risks of sensitive data reaching China. David Bennett said the ban likely reflects both security concerns and pressure from US technology companies.
Also discussed on this episode: (14)

Banking (1)

  • Stand With Crypto logged thousands of complaints about UK banks restricting transfers to crypto platforms. Lloyds received the most, while some banks capped transfers and others banned them outright.

ETFs (2)

  • BlackRock’s proposed PBIT ETF would use options on IBIT or similar exposure rather than hold Bitcoin or Bitcoin ETFs. Its rolling monthly tranches target roughly 10% initial downside protection, while market-set caps limit gains.
  • IBIT drew $665.2 million in one day and was the only one of 12 spot Bitcoin ETFs with net inflows; the group had shed about $910 million over the prior two weeks.

Custody (3)

  • Mt. Gox’s trustee received court approval to move the repayment deadline another year. The trustee said many claims remain unpaid because creditors have not completed procedures or payment processing encountered problems.
  • AnchorWatch opened a Nevada-chartered trust company offering Bitcoin custody with monthly fees capped at $10,000. Its options include client-held additional keys or key control distributed among AnchorWatch, BitGo, and Coin Center.
  • David Bennett said he uses BitBox02 Nova for self-custody, describing it as Swiss-made, open-source, and compatible with major desktop and mobile operating systems. The sponsor also offers customer support and a discount code.

Stablecoins (1)

  • France’s National Assembly advanced a proposal to tax gains when investors swap crypto for qualifying stablecoins, even without cashing out to fiat. David Amiel questioned whether authorities can define stablecoins and track portfolio reallocations.

Society (1)

  • David Bennett argued that governments are too large and absorb money that could be managed by states, counties, cities, and local communities. He said the scale of government also contributes to poor allocation of public funds.

BTC Markets (1)

  • David Bennett reported Bitcoin at $82,690, with hash rate back in zettahash territory and about 51,000 unconfirmed transactions. He also read mixed moves across commodities and US equity indexes.

Nostr (1)

  • David Bennett agreed that constant cameras and satellites make a physical Galt’s Gulch unlikely to remain independent. He sees Nostr and similar online networks as a digital gathering place, while warning that a successful enclave could be dismantled internally or externally.

Physics (1)

  • A listener suggested fiberglass fibers or a foam core to make cement furniture lighter. David Bennett added that agricultural charcoal mixed into concrete may reduce weight while retaining or improving strength, based on reported experiments.

Regulation (1)

  • Microsoft, Alphabet, Goldman Sachs, and other issuers objected to tokenized versions of their shares on the proposed OKX and ICE venue. David Bennett argued issuers should control token issuance and speculated that intellectual-property litigation or rehypothecation could follow.

Lightning (1)

  • A Scottsdale test found that local cafes accepted Lightning payments through Square terminals, including one cashier who already knew how to process Bitcoin. Arizona’s merchant directory lists more than 219 verified Bitcoin-accepting businesses.

Payments (1)

  • Sagebrush Corporate Solutions advertises Wyoming company formation, registered-agent service, and compliance support, with same-day document delivery and Bitcoin accepted for payment. The host said its services cover LLCs, C corporations, and S corporations.