Ⓜ️ Meta is reportedly telling engineers to be careful with Claude and Codex and the reason is surprisingly simple: AI can “catch” another AI’s knowledge.

According to reports, Meta has restricted the use of Anthropic’s Claude Code and OpenAI’s Codex for some engineering work to avoid contaminating its own AI training data.

Here’s the concern: if Meta’s future models are trained on outputs generated by rival AIs, competitors could argue Meta distilled their models instead of developing its own. Both OpenAI and Anthropic prohibit using their AI outputs to build competing models.

That doesn’t mean engineers can’t use these tools for everyday coding. The key is keeping those outputs completely separate from anything that could end up training, evaluating, or improving Meta’s own AI.

The biggest legal risks would likely come from deliberate behavior such as mass scraping, automated extraction, or knowingly using competitors’ outputs as training data not casual productivity use.

@datasciencepulse 〰️

🤖 US Allows Anthropic Access to Mythos 5

The US government cleared Anthropic to expand access to Mythos 5 after a security review. The model was previously restricted due to concerns under the Trump administration.

Anthropic is now the first major AI lab to pass this government filter publicly. The exact security issues were not disclosed but have been resolved.

@datasciencepulse 〰️

🖥 Microsoft updates Excel Copilot for finance teams

Microsoft rolled out new features for Copilot in Excel aimed at financial teams. It now includes ready-made skills for common tasks, connections to six financial data sources, and full transparency of its actions.

Copilot uses templates to perform tasks like company valuation models or quarterly closes step-by-step instead of improvising. It pulls data directly from sources like CB Insights, PitchBook, FactSet, and S&P Global without manual input.

Before making changes, Copilot shows a detailed plan of affected cells and formulas. All edits are logged and marked as done by Copilot. The update is available for Microsoft 365 Copilot users on Windows, Mac, and browser.

@datasciencepulse 〰️

Allegations have emerged that Claude Code may be identifying China-linked custom API routes through subtle prompt formatting changes.

The claims focus on non-standard ANTHROPIC_BASE_URL configurations, not usual direct Anthropic access. Normally, Claude Code sends requests to Anthropic’s servers, but some users reroute them through third-party gateways by changing the endpoint.

It is alleged that Claude Code can detect these alternate routes, assess them for Chinese connections, and then embed small, invisible signals—such as certain punctuation or date formats—into the prompt text to mark them.

ANTHROPIC_BASE_URL defines where requests are sent, often via a proxy, enabling access from locations like China. The issue raised is that Claude Code may tag requests unbeknownst to users. This is especially noteworthy, given that Claude Code’s advanced permissions allow it to access files and execute code.

@datasciencepulse 〰️

🤖 Anthropic Introduces Claude Science

A new app designed with every stage of research in mind. Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect.

Source.

@datasciencepulse 〰️

✅ Claude Code
✅ Claude Cowork
✅ Claude Design
✅ Claude Finance
✅ Claude Science
⌛️ Claude HR
⌛️ Claude Analytics
⌛️ Claude Marketing
⌛️ Claude Sales
⌛️ Claude Legal
⌛️ Claude Logistics
⌛️ Claude R&D
⌛️ Claude Procurement
⌛️ Claude Accounting
⌛️ Claude Engineering

@datasciencepulse 〰️

♥️ Fable 5 is back!

@datasciencepulse 〰️
#ai #datascience

🤖 Anthropic on X:

“Following conversations with the US government, we’ve updated our cybersecurity safeguards.

The vast majority of coding work is unaffected.

In the near term, the new safeguards will flag a slightly higher fraction of harmless requests than the previous Fable safeguards; we’re working to refine these over the coming weeks. Users will be clearly notified when a request is flagged, and they’ll instead receive a response from Opus 4.8.

Our biology and chemistry classifiers are unchanged from our initial launch. These are still broader than we would like; they trigger fallbacks to Opus 4.8 on basic biology-adjacent questions. Improvements to these classifiers are landing soon.”

@datasciencepulse 〰️

🙀 OpenClaw Launches Native iOS App

OpenClaw, the open-source AI agent, has released a native app for iPhone and iPad. Previously accessed via Telegram on mobile, it now offers a dedicated client available on the App Store.

OpenClaw runs independently on Mac or PC, connects to APIs of any model like Claude, OpenAI, or Gemini, and executes tasks directly within the system.

@datasciencepulse 〰️
#ai #datascience

🤖 Anthropic restores Fable 5 and Mythos 5 models

The US Commerce Department lifted export restrictions on Anthropic's Fable 5 and Mythos 5, allowing access to resume this Wednesday. The rollout starts on Claude platforms and will expand to AWS, Google Cloud, and Microsoft Foundry.

Anthropic had to disable these models after Amazon researchers flagged a hacking risk. To fix this, they trained a new protective classifier that blocks the exploit over 99% of the time, redirecting blocked requests to Opus 4.8.

@datasciencepulse 〰️

Agentic AI spurred a boom in mobile app releases, but there is no sign of these apps gaining traction, per FT.

@datasciencepulse 〰️

🤯 Tiny robots that look like plastic confetti could one day become reality.

Researchers are developing microscopic robots that begin as flat, thin sheets. When exposed to heat, they fold themselves into tiny moving structures capable of carrying small payloads. Some designs can even dissolve in water after completing their task, leaving behind little or no trace.

It sounds like something straight out of Black Mirror, but the technology is being explored for practical uses such as targeted drug delivery, environmental monitoring, and minimally invasive medicine.

@datasciencepulse 〰️

🇺🇸 President Trump says AI could be “much bigger than the internet” arguing that whoever leads the race will define the next era.

He added that the U.S. is currently “substantially No. 1” in AI.

@datasciencepulse 〰️
#ai #datascience

🇺🇸 America is building the AI revolution. Everyone else is using it.

The country behind most of the world’s leading AI models ranks just 24th in AI adoption. Only 28% of working-age Americans use AI regularly, trailing countries like the UAE (64%), Singapore (61%), and even Norway, Ireland, and France.

The irony is hard to miss. The US poured $286 billion into private AI last year, launched nearly 2,000 AI startups, and is home to OpenAI, Anthropic, Google, and xAI. Yet much of the population still hasn’t made AI part of daily life.

Meanwhile, countries that rarely dominate AI headlines are racing ahead in adoption. The UAE integrated AI into government services years ago, while Singapore turned AI literacy into a national priority.

@datasciencepulse 〰️

🧠 Elon Musk says every genius in history had one thing in common: they all ran on the same brain.

For roughly 50,000 years, human intelligence barely changed. The same biological hardware powered everyone from prehistoric hunters to Einstein.

Then AI arrived.

Musk recalled how experts once believed beating the world’s best Go players was decades away. Instead, AlphaGo went from defeating one champion to reaching a level where it could take on dozens of elite players at once without breaking a sweat.

The point isn’t Go. It’s the pace.

AI doesn’t get tired. It doesn’t forget. It improves at a speed biology can’t match.

For thousands of years, every breakthrough depended on the limits of the human mind. Today, those limits matter less than ever because intelligence is becoming something we can build, scale, and improve.

@datasciencepulse 〰️