Soy firme defensor de que el silencio es signo de civilización.
El ruido constante es invasivo para los sentidos: activa la señal de alerta, satura la mente y anula juicio. Por eso el silencio es el pacto cívico más refinado.
La verborrea es una triple falta de eduación: roba el silencio, secuestra el tiempo e impide participar al oyente en la conversación.
No es vacío ni censura, es contención: renunciar voluntariamente a imponer tu sonido para dejar espacio a la convivencia, la escucha y el pensamiento crítico.
Gritar, por otro lado, responde a un impulso primario incontrolado. Mientras callar exige disciplina y estructura moral.
La contaminación acústica es proporcional al grado de civilización de una sociedad.
Entender el ADN humano solía ser como buscar una aguja en un pajar gigantesco. 🧬🔍
Hoy presentamos AlphaGenome Atlas, una nueva herramienta de Google DeepMind capaz de predecir el impacto de las 9 mil millones de mutaciones posibles en nuestro código genético. 🧵👇
Top 100 unsolved math problems by their estimated public recognition. The rankings differ quite a bit from the importance rankings!
1. Riemann Hypothesis ↑ 1
2. P versus NP ↓ 1
3. Collatz conjecture ↑ 158
4. Goldbach conjecture ↑ 18
5. Twin Prime Conjecture ↑ 15
6. Navier–Stokes existence and smoothness (Fefferman A) ↓ 2
7. Polynomial-time classical integer factorization ↑ 9
8. Yang–Mills existence and mass gap ↓ 5
9. abc conjecture ↑ 3
10. Birch and Swinnerton-Dyer conjecture ↓ 4
11. Existence of an odd perfect number ↑ 228
12. Normality of π ↑ 289
13. Hodge conjecture ↓ 8
14. Infinitude of Mersenne primes ↑ 231
15. Sums of three cubes representation conjecture ↑ 390
16. Beal’s conjecture ↑ 332
17. Minimal superpermutation length ↑*
18. Magic square of squares ↑*
19. Multiplicative persistence bound of 11 ↑*
20. Generalized Riemann Hypothesis for Dirichlet L-functions ↓ 11
21. Square peg problem ↑ 461
22. BQP versus NP: complete language-class relation ↓ 5
23. Chromatic number of the plane ↑ 215
24. Exact Ramsey number R(5,5) ↑*
25. Algebraic independence of e and π ↑ 132
26. Irrationality of Euler’s constant ↑ 252
27. Kelvin problem: least-area partitions into unit-volume cells ↑*
28. Graph isomorphism in polynomial time ↑ 52
29. Perfect cuboid problem ↑*
30. Existence of one-way functions ↓ 22
31. Matrix-multiplication exponent equals two ↓ 5
32. Unconditional separation of BQP from BPP ↓ 13
33. Lonely runner conjecture ↑*
34. Exact kissing numbers in dimensions greater than four ↑ 315
35. Graham–Rothschild hypercube Ramsey problem: exact planar K₄ threshold ↑*
36. Infinitude of Fermat primes ↑ 458
37. Legendre’s conjecture ↑ 270
38. No-three-in-line problem ↑*
39. Infinitude of amicable pairs ↑*
40. Landau’s fourth problem: primes of the form n² + 1 ↑ 140
41. Erdős–Straus conjecture ↑*
42. Infinitude of Sophie Germain primes ↑ 269
43. Polignac’s conjecture ↑ 59
44. Higher-dimensional Euclidean Kakeya conjecture ↓ 6
45. Frankl’s union-closed sets conjecture ↑ 358
46. Unique Games Conjecture ↓ 12
47. Infinitude of Fibonacci primes ↑*
48. Brocard’s problem ↑*
49. Thomson problem ↑ 319
50. Gauss circle problem ↑ 192
51. Erdős–Szekeres convex polygon problem ↑ 294
52. Montgomery’s pair correlation conjecture ↑ 23
53. Congruent number problem ↑ 79
54. NP versus coNP ↓ 41
55. Local connectivity of the Mandelbrot set ↑ 66
56. Smooth four-dimensional Poincaré conjecture ↓ 35
57. Edge-unfolding of convex polyhedra ↑*
58. Schanuel’s conjecture ↓ 30
59. Catalan–Dickson conjecture on boundedness of aliquot sequences ↑*
60. Erdős’s conjecture on divergent reciprocal sums and long arithmetic progressions ↑ 70
61. Hardy–Littlewood prime k-tuple conjecture ↓ 43
62. Existence of a periodic trajectory in every triangular billiard ↑*
63. Elliott–Halberstam conjecture ↑ 24
64. Hadwiger’s conjecture ↑ 15
65. Irrationality of ζ(5) ↑ 268
66. P versus PSPACE ↓ 52
67. P versus BPP ↓ 40
68. Selfridge’s conjecture on the smallest Sierpiński number ↑*
69. Erdős–Rado sunflower conjecture ↑ 77
70. Kolakoski sequence half-density conjecture ↑*
71. Polynomial-time unknot recognition ↑ 268
72. Inverse Galois problem over the rationals ↓ 23
73. Conway’s thrackle conjecture ↑*
74. Gilbreath’s conjecture ↑*
75. Infinitude of cousin primes ↑*
76. Conway’s 99-graph problem ↑*
77. Nonexistence of Landau–Siegel zeros for quadratic Dirichlet L-functions ↓ 34
78. Resolvent degree of the general degree-seven polynomial ↑ 183
79. Hilbert’s sixteenth problem, second part ↓ 40
80. Graph reconstruction conjecture ↑ 242
81. Singmaster’s conjecture on Pascal’s triangle ↑*
82. Exponential Time Hypothesis for 3-SAT ↓ 40
83. Irrationality of Catalan’s constant ↑ 339
84. Borel’s normal number conjecture for irrational algebraic numbers ↑ 54
85. Finite projective planes of non-prime-power orders ↑ 308
86. Fermat–Catalan conjecture ↑ 172
87. Convergence of the Flint Hills series ↑*
88. Existence of an odd weird number ↑*
89. Maximum packing density of regular tetrahedra ↑*
90. Exact exponential growth constant of cap sets in F₃ⁿ ↑*
91. Invariant subspace problem for Hilbert-space operators ↑ 14
92. Fejes Tóth’s sausage conjecture ↑*
93. Cramér’s conjecture on the limsup of normalized prime gaps ↑ 61
94. Kobon triangle problem ↑*
95. Four-distance problem for the unit square ↑*
96. Artin’s primitive root conjecture ↑ 96
97. Tammes problem: optimal spherical packing for general N ↑*
98. Extended Riemann Hypothesis for Dedekind zeta functions ↓ 88
99. Ringel–Kotzig graceful tree conjecture ↑*
100. Global Langlands functoriality conjecture ↓ 93
Fable 5.1 and GPT-6 Astra judged 3,791 distinct pairs using shared evidence, including reviewed public sources and Wikipedia page-view data. Includes theoretical computer science and mathematical physics.
↑/↓ indicate how many places higher or lower a problem ranks by public recognition than in the overall Top 500.
↑* indicates a problem outside the overall Top 500.
They will be added to https://t.co/ArIV77LJ9r.
AI is rapidly getting smarter.
Now, humanity can too.
Today, @nucleusgenomics is announcing Vitruvian, our newest set of genetic optimization models.
Vitruvian’s intelligence model can optimize embryo DNA for 14 IQ points — nearly a standard deviation.
The models were trained on 1,000,000+ people, validated across 40,000+ siblings, and used more than 7 million genetic markers.
In Superintelligence, Nick Bostrom proposed genetic optimization as a key way for humanity to keep pace with rapidly advancing AI.
Bostrom’s vision is no longer theoretical.
Genetic optimization, like AI, has followed a scaling law: as datasets have grown, so have model capabilities. This trend will continue.
Parents across the world now have the choice to substantially increase their child’s intelligence.
And the next generation can choose to do the same.
AI is no longer the only intelligence that will compound.
Humanity can now direct its own evolution.
A lot of opinions on Twitter can simply be boiled down to “I like this person so it’s ok when they do it. I don’t like this person so it’s not ok when they do it” lol.
Mostly every opinion is based on whether or people like the person and not based on how people actually feel about a situation.
What AI has done so far:
MEDICINE
• Helped paralysed people speak again. (Brain implants turn intended speech into words, even recreating their own voice.)
• Helped a paralysed man stand and walk again. (A brain–spine interface let him control his legs by thinking.)
• Helped blind people read and understand the world around them. (Describing surroundings, reading labels and identifying objects through a phone camera.)
• Uncovered cancers doctors would otherwise have missed. (29% higher breast cancer detection in a major study.)
• Identified antibiotic candidates that kill drug-resistant bacteria. (Abaucin targeted a dangerous superbug in lab and animal tests.)
LEARNING
• Made personalised learning available on demand. (An ‘Einstein’ as your personal tutor whenever you want to learn.)
• Helped students learn twice as much in less time. (A custom AI tutor outperformed an active-learning Harvard physics class.)
• Helped people write, code, design and build without years of specialist training.
SCIENTIFIC DISCOVERY
• Predicted the structures of over 200 million proteins. (Opening new paths to understanding disease and developing medicines.)
• Discovered planets hidden in telescope data. (Including Kepler-90i, the eighth planet in a distant solar system.)
• Recovered ancient writing buried by Vesuvius nearly 2,000 years ago. (Reading inside carbonised scrolls too fragile to unroll.)
• Begun unlocking how animals communicate. (Patterns in whale calls. Evidence that elephants use individual, name-like calls.)
• Produced a proposed solution to one of mathematics’ hardest problems. (Navier–Stokes: 10,000 AI agents, 88 hours, according to OpenAI.)
ENVIRONMENT
• Predicted where a hurricane would strike nine days before landfall. (GraphCast forecast Hurricane Lee’s Nova Scotia landfall about three days ahead of conventional forecasts.)
• Engineered enzymes that break down plastic in hours rather than centuries.
• Detected wildfires before the first emergency call. (Spotting smoke and alerting firefighters earlier.)
• Slashed the weedkiller farmers need by targeting weeds individually. (35% less herbicide in sugarcane trials, with nearly the same weed control.)
ENERGY
• Advanced the science of clean fusion energy. (Controlling and shaping superheated plasma inside an experimental fusion machine.)
• Driven a generational wave of investment in carbon-free energy, from nuclear power to solar and wind. (Microsoft’s Brookfield deal alone targets over 10.5 GW of new renewable capacity by 2030.)
TRANSPORT
• Delivered dramatically safer driverless journeys. (Waymo: 81% fewer injury crashes per mile than human drivers in the areas studied.)
• Given people who cannot drive a new way to travel independently. (Including blind passengers and older people who cannot drive.)
JOBS AND GROWTH
• Fuelled an investment boom. (AI-related investment categories accounted for an estimated 37% of U.S. growth in the first nine months of 2025.)
• Driven demand for the skilled trades building AI infrastructure. (Electricians, welders, construction crews and cooling specialists.)
WHAT AI HAS NOT DONE
• Replaced all the radiologists. Guess what? We still need more of them.
• Used a community’s water. Golf courses use more. (U.S. golf irrigation: roughly 550bn gallons in 2020. Data centres’ direct consumption: 17bn in 2023. Microsoft’s next-generation designs consume zero water for cooling.)
• Raised everyone’s household electricity bills. (Oregon’s PGE: residential bills cut 1.3% after shifting costs to data centres. Indiana’s I&M: proposed household savings of roughly $100 a year, supported by large-customer growth.)
• Demonstrated that it wants to kill us all.
Two days ago, GPT-6 Astra broke a yet unsolved German Army Enigma message from 1941. Amazingly Astra was able to autonomously:
- Search historical archives
- Compare uncertain letters
- Find contextual clues
- Build an Enigma simulator
- Write cryptanalysis code
- Run parallel experiments
- Test competing keys
- Recover the plaintext
- Cross-check the results
1/n
People only like you and celebrate your confidence when you’re struggling. The second they realize you’re actually great and capable of more, they quietly look for ways to HUMBLE you.
the problem with my generation is that they don’t realise two things can be true at once and also have no real sympathy for anybody. it’s just fake activism and twitter fingers. stfu.
We will die from global cooling in 10 years.
We will die from global warming in 10 years.
We will die from a virus in 10 years.
We will die from overcrowding in 10 years.
We will die from intolerance in 10 years.
We will die from Ai in 10 years.
The answer to all of these is to have an expansive government save us from dying in 10 years.
Hot take: If you don't believe anyone can change for the better, that should apply to you too. That means if you do anything bad, guess you should never forgive yourself and always see yourself as bad
@HectorMir4nda@MsIdeasMnosCtas Te hago un dibujito de quesitos a ver si así te enteras. Y yo no voy pa maestro, reparo coches, soy de ese estereotipo del mono azul y la cara negra de grasa.
Yes. These math problems had remained unsolved for 100 years, baffling the world’s greatest mathematicians, and then somehow all got solved within a few weeks, only for OpenAI to conveniently steal them.