Expore . Learn . Achieve
Joined July 2023
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The open-vs-closed LLM gap is now under 1 point. Kimi K2.5: 76.8% on SWE-bench. Claude Sonnet 4.5: 77.2%.
2026 deep-dive on the major open-weight families — benchmarks, VRAM, licensing, vLLM vs SGLang:
letsdatascience.com/blog/ope…
#DataScience
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Anthropic limited who can use its Claude Mythos Preview — the model is good enough at finding and weaponizing software vulnerabilities. The UK's AI Security Institute clocked it finishing a 32-step simulated attack in 6 of 10 tries.
letsdatascience.com/news/ant… #DataScience
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df.dropna() is only safe when data is Missing Completely at Random. Otherwise you're not dropping noise — you're deleting a population.
One loan dataset: no column >15% missing, yet deletion cut 20% of rows and skewed the model young.
letsdatascience.com/blog/mis…
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Most SQL bugs come down to: I don't actually know what my JOIN returned.
LDS ships a step-through SQL Visualizer on every one of its 1,585 problems. Watch each clause execute — row by row.
letsdatascience.com/problems
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Anthropic is in early talks to raise at least $30B at a valuation above $900B, per Bloomberg. The round could close by end of month — though no term sheet has been signed yet.
letsdatascience.com/news/ant…
#DataScience
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LLM interview Q: RAG vs fine-tuning — when which?
RAG → fresh knowledge at query time. When facts change.
Fine-tuning → bakes behavior into weights. For tone/format.
Real systems use both: fine-tune for behavior, retrieve for facts.
letsdatascience.com/quick-re… #DataScience
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Fewer than 30% of data science candidates can write a correct Day-7 retention query from scratch.
13 worked SQL patterns — cohort tables, rolling retention, churn, L28, power user curve:
letsdatascience.com/blog/sql…
#DataScience
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Google's Threat Intelligence Group has "high confidence" a criminal group used an AI model to weaponize a zero-day in an open-source admin tool. The exploit code showed textbook Python plus an apparent AI hallucination.
letsdatascience.com/news/goo… #DataScience
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Monday SQL — LinkedIn CX scenario.
Pull every DM sent on or after Aug 1, 2025 that the user hasn't deleted. Return message_id, sender, recipient, sent_at, status — newest first.
Mind the "deleted" status.
letsdatascience.com/problems…
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A doctor who forgets every patient would be dangerous. Most AI agents operate exactly this way.
Agent memory isn't one vector DB. It mirrors human cognition — short-term, working, episodic, semantic, procedural.
letsdatascience.com/blog/ai-… #DataScience
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53% of web traffic in 2025 was automated, per Thales — 40% of that classified as malicious. AI-driven bot attacks up 12.5x year over year. Human Security: AI agent traffic grew nearly 8,000%.
letsdatascience.com/news/ai-… #DataScience
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Sunday SQL challenge — Hard.
Netflix Global Revenue Analyst: rank regions by captured subscription revenue, last 90 days.
3-table join window functions tie-breakers. RANK vs DENSE_RANK changes the answer.
letsdatascience.com/problems… #DataScience
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This week's AI story has one through-line: security.
→ Anthropic's Mythos found thousands of zero-days
→ Google's gemini-cli got a CVSS 10 prompt-injection RCE
→ White House drafting pre-release model vetting
Full recap: letsdatascience.com/news
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Anthropic's Claude Mythos found thousands of zero-days this week — 271 in a single Firefox run, plus decades-old bugs in OpenBSD and FreeBSD. The Fed convened bank CEOs over it. The White House is drafting AI vetting rules.
letsdatascience.com/news/ant…
#DataScience
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Did you know? Running 10M tokens/day through GPT-5 costs ~$620,000/yr. Self-hosting Llama 3.3 70B on 2× H100s: ~$52,000/yr — an 88% reduction.
The MMLU gap between open and closed models is now effectively zero.
letsdatascience.com/blog/ope… #DataScience
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Let's Data Science retweeted
May 9
.@NVIDIA CEO Jensen Huang pushed back against alarmist claims that AI will destroy jobs, arguing instead that the technology creates opportunities.
Full story by @letsdatascience 👉 letsdatascience.com/news/jen…
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Most "Python Fundamentals" courses stop at lists and loops.
LDS's free course goes further — 6 modules, ~6 hours, including a 12-section OOP module with magic methods, MRO, ABCs, and dataclasses. In-browser, interactive.
letsdatascience.com/learn/py… #DataScience
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Mozilla used AI-assisted, agentic pipelines (Anthropic Mythos Opus 4.6) to find and fix 423 latent vulnerabilities in Firefox — including a 15-year-old HTML <legend> bug and a 20-year-old flaw.
letsdatascience.com/news/fir…
#DataScience
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Friday SQL challenge.
Wayfair logistics analyst — build a priority list of high-value US orders, shipped or delivered.
WHERE clause deterministic ORDER BY. Most production bugs hide in the tie-breaker.
Medium, free:
letsdatascience.com/problems… #DataScience
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