SShortSingh.
Back to feed

25 Fields Medalists Warn AI Is Harming Mathematics by Skipping Scientific Process

0
·1 views

On September 11, 2026, twenty-five Fields Medal recipients — holders of mathematics' highest honor — released a joint statement titled 'A Severe Misalignment of AI in Mathematics.' The statement does not dispute AI's growing capability to solve complex problems, but criticizes the rush to announce results without proper documentation, attribution, or community discussion. The signatories argue that landmark math problems serve as scientific milestones only when solutions come with transferable methods and ideas, not just correct answers. The statement followed OpenAI's September 8 announcement that roughly 10,000 AI agents solved the 90-year-old Navier-Stokes problem in 88 hours, which itself triggered a credit dispute involving mathematicians Tristan Buckmaster and Levent Alpöge. Fields Medalist Terence Tao noted the statement grew from internal discussions that week, acknowledging there was insufficient time for broader consultation before publication.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Developer Builds Traffic Dashboard After Catching Malicious File Upload on Personal Server

A developer running an experimental microserver noticed a suspicious user attempting to upload and execute a file with an unusual extension, prompting a deeper look at server security. To better understand incoming traffic, they built a custom web traffic dashboard using data from GoAccess, a log analysis tool. The dashboard automatically assigns flags — such as 404, Snooper, and Tamper — to IP addresses exhibiting suspicious behavior, making it easier to identify and block bad actors. The project also included an incident report section and auto-ban rules derived from observed traffic patterns. The developer highlighted AbuseIPDB as a useful free resource for cross-referencing suspicious IP addresses.

0
ProgrammingDEV Community ·

Monte Carlo Model Reveals Single 3.07x Market Shock Figure Masks a -32% Tail Risk

A financial modeling series found that a previously reported 3.07x amplification of a -5% market shock — turning it into a -15.4% drawdown — was accurate but incomplete, representing only the median of a wider distribution of outcomes. Running 2,000 Monte Carlo paths with variable inputs for net gamma and shock size showed drawdowns ranging up to -32.1%, with a 1-in-100 tail risk near -28%. The model also corrected a data error from an earlier installment, where a Labor Day market holiday had introduced a faulty VIX and SKEW reading labeled as September 7; the corrected date is September 4, with VIX at the 18th percentile and SKEW at the 83rd. The fix involved adding a weekend filter and aligning VIX and SKEW on their latest common trading date, though the underlying conclusion about calm volatility and expensive tail protection remained unchanged. The updated framework produces an exceedance-probability curve showing that half of all simulated paths breach -15% and one in five crosses -20%, giving a fuller picture of mechanism-driven market risk.

0
ProgrammingDEV Community ·

Developer Migrates 7 Services to Kubernetes, Then Reverses Course — Here's Why

A developer spent several weeks migrating seven self-hosted services to a K3s Kubernetes cluster, complete with ArgoCD, GitOps workflows, Kyverno policies, and SealedSecrets, all on a single shared machine. Within one afternoon, all seven services were moved back to Docker Compose, a decision the author describes as a deliberate reversal rather than a failure. The core insight driving the rollback was that every migrated service ran third-party, upstream open-source images — software the developer had not authored or iterated on. Kubernetes tooling such as network policies, CI pipelines, and admission rules offer little practical value when applied to sealed, externally maintained containers, generating integration complexity with no meaningful output. The cluster itself was not dismantled; the GitOps loop, supply-chain policy, and service mesh remain, but the decision to route existing compose services through Kubernetes was specifically undone.

0
ProgrammingDEV Community ·

How to Prevent Runaway AI API Costs in Next.js 15 Micro-SaaS Projects

Solo micro-SaaS developers face significant financial risk when AI inference calls multiply uncontrollably due to retries, flaky connections, and missing budget guardrails. A technical guide published on DEV Community outlines a four-tier architecture for Next.js 15 apps that separates user intent from model orchestration and billing logic. The approach uses Cordis, an open-source TypeScript orchestration framework, as an isolated internal boundary for deduplication, circuit breaking, and request coalescing. Developers are cautioned that Cordis APIs remain under active development and should not be treated as a production-grade financial ledger or mature queue system. The recommended pattern enforces upfront quota admission checks, hard payload limits, and audit logging at the API gateway layer to keep AI spending observable and constrained.