đ First synthetic cell, IA dĂ©chiffre papyrus carbonisĂ© et dĂ©niche footballeurs, Top 10 Emerging Tech of 2026, robot footballeur &+
Why lasers wonât stop drones
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Vous recevez la version gratuite de la newsletter Parlons Futur : une fois par semaine au plus, une sĂ©lection de news, mĂȘlant sources anglophones et francophones, rĂ©sumĂ©es en bullet points sur des sujets tech đ€, science đŹ, Ă©co đ°, gĂ©opolitique đ, dĂ©fense âïž et espace đ pour mieux apprĂ©hender le futur đź.
Je mâappelle Thomas, plus dâinfos sur moi en cliquant ici.
đïž Mes derniers podcasts
Poutine et la guerre Ă lâEurope : le scĂ©nario catastrophe du front atlantique
Entretien exceptionnel (Spotify, Apple, Youtube) avec StĂ©phane Audrand, consultant indĂ©pendant en risques internationaux, historien et officier de rĂ©serve dans la Marine. Il est lâauteur remarquĂ© de lâarticle âPoutine et la guerre Ă lâEurope : le scĂ©nario du front atlantiqueâ publiĂ© dans le Grand Continent.
Vivons-nous dans une simulation ? (Youtube)
đEntretien exclusif avec Philippe Bihouix, co-auteur de la BD Ă succĂšs âRessources : Un dĂ©fi pour lâhumanitĂ©â (Youtube, Spotify, Apple)
Et voici donc ma toute derniÚre sélection !
Alex Karp, le CEO de Palantir, a poussé un sacré coup de gueule cette semaine (7-min version, 19-min version)
He said businesses depend on a handful of frontier labs, pay for tokens that create little value, and risk handing over the data that makes them valuable.
He said this wouldnât last.
Hereâs what he suggests everyone should do instead: run good enough models on your own data while keeping control of the weights, the data, and the compute.
This is obviously self-serving as it assumes a service layer his company can offer, but there seems to be more than a grain of truth to it!
Des chercheurs ont dĂ©chiffrĂ© un rouleau de papyrus carbonisĂ© vieux de 2.000 ans grĂące Ă lâIA aprĂšs son incinĂ©ration lors de lâĂ©ruption du VĂ©suve (source)
Scientists say they have built a cell from scratch for the first time (CNN)
Scientists say they have built a cell from scratch for the first time that can feed, grow and replicate like a natural cell. This breakthrough in synthetic biology could usher in an era of made-to-order organisms that function like living machines.
Mark Zuckerberg Just Got Rather Badly Humiliated (Financial Times)
Google informed Meta earlier this year that it was cutting Meta off from the Gemini AI capacity it needed
Meta chose Gemini over its in-house Llama open-source models simply because it performed much better
Despite committing over half a trillion dollars over the next two years, the companyâs flailing AI efforts have been plagued by rock bottom morale, infighting, high-level executive departures, and related PR crises.
Nvidia says AIâs water challenge is largely solved (Axios)
Nvidiaâs coolant â a recirculated liquid mixture that includes water and propylene glycol, similar to automotive antifreeze â can run at 45°C
Because the liquid can operate at higher temperatures than previous systems, data centers may be able to rely less on chilling equipment that uses large amounts of energy or water â or even eliminate it altogether.
Is China AI really cheaper than American AI? (The Economist)
DeepSeek charges just $0.87 per 1m output tokens for its v4 model, whereas Anthropic charges $50 for the same on Fable 5.
A study updated this month by Du Zheng of Georgia Tech and coauthors shows that given the same tasks, a DeepSeek model used 23 times more tokens than its Openai rival to achieve basically the same result.
Because of these large differences in efficiency, the correct way to compare models is not price per token but the total cost of all the tokens used.
Using this metric, on a benchmark designed to test software engineering, glm 5.2 (by Beijing-based lab called Zhipu, or Z.ai,) ended up costing more than competing systems from Anthropic and OpenAI.
Apple said that it will not be providing the new AI features in the EU because of the Digital Markets Actâs competition requirements. (Ben Evans)
Apple says that it went to the EU and said âwe can build an intermediate brokerage and security layer, so that third party assistants could do what Siri will do, but that would be 18 months of work, so youâre going to need to tell us if you would approve it before we do that workâ - and Appleâs story is that the EU said, âWeâre not going to tell you. Build it and then weâll make a decisionâ.
The Digital Markets Act has very wide scope for interpretation and itâs a matter of opinion whether X or Y product implementation would follow the law, so the tech company goes to the EU and says âwill you agree that this follows the law?â and the EU says âweâre not going to tell you - ship it, and then weâll decide, and if you guess wrong weâll fine youâ. Itâs very hard to see this as a good faith attempt at regulating a complex and fast-moving sector.
There used to be a joke that an âAI scientistâ is a statistician who lives in San Francisco
Anthropic Blames Dystopian Sci-Fi for Training AI Models to Act âEvilâ (Ars Technica)
âThose with an interest in the concept of AI alignment may remember when Anthropic claimed its Opus 4 model resorted to blackmail to stay online in a theoretical testing scenario last year.
Now, Anthropic says it thinks this âmisalignmentâ was primarily the result of training on âinternet text that portrays AI as evil and interested in self-preservation.ââ
If Openai and Anthropic each gave 3% of their equity to the Americans, and their combined value were to rise ten- or 20-fold, Americans would âonlyâ get a yearly payout of a few hundred dollars per year in dividends (The Economist)
Assuming it would feed a fund earning a healthy 10% a year, and after 10 years paying out 4% annually, a rule of thumb for preserving a fund in perpetuity
This is not enough to make anyone richâŠ
China Aims AI at Predicting Who Could Pose a Political Risk (NYT)
the Chinese companyâs researchers were working to develop behavioral profiles of people based on telecommunications, social media and location data.
A.I. models were used to classify people and to âdetect harmful information,â
the research team was doing more than just documenting behavioral patterns. They were trying to predict what citizens might do next and with whom,â
âThis is what happens when mass surveillance meets A.I.,â
China is innovative. Its economy is a mess: some crazy stats (The Economist)
local-government borrowing in China is at 43% of GDP. The comparable figure in America is 12%.
The share of industrial firms generating losses has shot to a record high of around 32% in April, up from 10% in 2011 and above the previous peak during the Asian financial crisis in 1998.
Is Chinaâs industrial policy efficient ? Well:
a trio of IMF economists calculated last year, Chinaâs âtotal factor productivityâ (which captures how efficiently both capital and workers are used) was 1.2% lower than it would have been in the absence of industrial policy over the past decade or so.
GDP was 2% lower, equivalent to forgoing around $400bn in value added a year.
Donât restrict Chinese biotech (The Economist)
Chinese firms ran nearly 33% of the worldâs clinical trials last year, up from just 6% a decade earlier.
China is now the worldâs second-largest source of new drugs, behind only America itself.
In 2025 nearly half of licensing deals worth $50m or more were struck with Chinese firms, up from none in 2020.
In some categories, such as antibody-drug conjugates, a promising class of cancer treatments, Chinese firms accounted for almost all the licensing.
AI and doctors : âAnd we already know from data that A.I. is better at medical diagnosis than doctors under many circumstances. And controlled experiments show patients prefer talking to A.I. over doctors because it has higher perceived empathyâ (NYT)
said Ethan Mollick, professor at the Wharton School of the University of Pennsylvania and the author of âCo-Intelligenceâ and the forthcoming âCo-Existenceâ
AI Is Designing Radio Chips That Humans Couldnât Even Imagine (IEEE Spectrum)
âSome of the...chips look more like modern art than circuit layouts. Yet in many cases, the physical prototypes bested state-of-the art circuits in terms of performance. The real achievement, however, is that it took the AI orders of magnitude less time to conceive a working design than it would a human designer.â
Economists are actually quite conservative about AI impact on growth (The Economist)
Even under a scenario where AI progress is ârapidâ by 2030âmeaning that AI can compete with or surpass the brainiest humansâthe median academic economist expects American GDP growth of just 3.5% in 2050 (compared with 5.3% for AI researchers).
Only 11% of leading economists agree that the use of AI over the next decade âwill lead to a substantial increase in the unemployment rates in advanced countriesâ, according to a survey by the University of Chicago.
A Startup Claims It Broke Through a Bottleneck Thatâs Holding Back LLMs (MIT Tech Review)
âAccording to Subquadratic, it has developed a new kind of LLM, called SubQ, that is faster and cheaper and uses a lot less energy than any other model on the market.
The company also claims that SubQ is able to process up to 12 times as much text at once than most other models, allowing it to carry out a range of data-heavy tasks, such as analyzing hundreds of documents or entire code bases.â
With Starfall, SpaceX eyes an edge in global cargo delivery from orbit (Ars Technica)
A SpaceX Falcon 9 rocket lifted off in late June to test a new reentry vehicle designed to deliver cargo anywhere in the world from low-Earth orbit.
The Starfall vehicle is cylindrical in shape, with a diameter of 3.1 meters and a height of 0.75 meters) Starfall weighs approximately 2.1 metric tons with a capacity for about 1 metric ton of payload.
Starfall will âenable point-to-point delivery of critical cargo through space on rapid timelinesâ and provide access to space for commercial in-space manufacturing, a nascent market that, so far, is largely geared toward pharmaceuticals.
So who might use something like Starfall? The US military is one obvious answer.
SpaceX said it had performed some 300,000 maneuvers to avoid collisions in 2025. (NYT)
Video of Boston Dynamicsâ Atlas robot playing football (39-sec video)
And a Chinese robot kicking the ball So Hard It Smashes Hole in Wall (28-sec video)
Humanoid Robot Preparing to Climb Mount Everest (2-min video)
a modified Unitree G1 unit has recently completed a trek to the top of Ecuadorâs Chimborazo volcano, at more than 6,000 meters.
the robot walked autonomously along sections of the 16-hour trek to the summit with less than a 30-degree incline, but was carried for the rest.
SoftBank annonce un investissement record de 75 milliards dâeuros dans des infrastructures liĂ©es Ă lâintelligence artificielle en France (source)
âCe sera lâinvestissement le plus important en Europe dans les infrastructures liĂ©es Ă lâintelligence artificielle: 75 milliards dâeuros au total, dont 45 milliards dâici Ă 2031, dans les Hauts-de-Franceâ, a dĂ©taillĂ© Masayoshi Son
âLe premier facteur positif, câest lâĂ©nergieâ, a-t-il dĂ©clarĂ©, Ă©voquant le fait que âle pays est producteur et exportateur dâĂ©nergieâ ce qui âest absolument dĂ©cisif pour des investissements dâinfrastructure dans lâintelligence artificielleâ.
Ensuite, âla France est extrĂȘmement impliquĂ©e dans des domaines cruciaux, tels que la tech en gĂ©nĂ©ral et lâIA en particulierâ
et enfin, Masayoshi Son a louĂ© âlâexcellent systĂšme Ă©ducatifâ et le âlarge vivier de talents disponibles, en particulier dans lâingĂ©nierie et la techâ.
Mais attention alerte Gilles Babinet : âUn autre aspect qui mĂ©rite de lâattention, câest de connaĂźtre la nature des clients de ces datacenters : sâil sâagit dâHyperscalers ou mĂȘme de sociĂ©tĂ©s comme CoreWeave ou Crusoe, cela signifie que la valeur ajoutĂ©e française sâarrĂȘtera Ă la fourniture dâĂ©nergie et dâagents de gardiennage.â
Google DeepMind CEO Demis Hassabis said at Googleâs developer conference last week that humanity is standing in the âfoothills of the singularityâ (Axios)
and that society has only a few years left to prepare for AGI.
Hassabis said his prediction that AGI could arrive in four years â or even sooner â reflects growing confidence that the industry has found the right technical path.
Premier long-mĂ©trage oĂč une IA tient lâhistoire et les personnages du dĂ©but Ă la fin. (source, partagĂ©e par Futur Proche)
Hell Grind, 95 minutes de fantasy violente entre Mortal Kombat et Marvel, a été produit en deux semaines par quinze personnes pour 500 000 dollars, dont 400 000 partis dans le seul calcul des images.
Chaque plan de quinze secondes a rĂ©clamĂ© un prompt dâenviron trois mille mots.
Les Large Language Models sont-ils capables dâĂ©motions ? (source, partagĂ©e par Futur Proche)
Chris Olah, chercheur en interprĂ©tabilitĂ© et cofondateur dâAnthropic, en rĂ©ponse Ă lâencyclique du pape LĂ©on XIV :
âJe dirige une Ă©quipe de recherche qui Ă©tudie la structure interne de ces modĂšles, ce qui sây passe vraiment. Et je serai honnĂȘte, nous y trouvons sans cesse des choses mystĂ©rieuses, voire troublantes. Nous trouvons des structures qui reflĂštent les rĂ©sultats des neurosciences humaines. Nous trouvons des preuves dâintrospection. Nous trouvons des Ă©tats internes qui imitent, sur le plan fonctionnel, la joie, la satisfaction, la peur, le chagrin et le malaise.â
âNotre robot araignĂ©e grimpe aux parois des navires pour effectuer des tĂąches dangereuses (JDN)
Actuellement, il effectue des opĂ©rations de soudage. Et Ă lâavenir, il pourra aussi faire de la peinture, des contrĂŽles non destructifs, ou encore du dĂ©capage par projection dâabrasifs
âEn rĂ©alitĂ©, le robot araignĂ©e est bien plus complexe quâun humanoĂŻdeâ
La vie presque partout : millions of bacteria inhabit fog droplets (gouttelettes de brouillard) (source)
âWhen you take all of the droplets together, the concentration of bacteria is the same as in the ocean,â
Some thrive more than others. The population of one bacteria called Methylobacteria, known for devouring simple carbon compounds including pollutants like formaldehyde, increased after fog events.
At 92, sheâs as fit as someone half her age (Washington Post)
âWhat we are learning is that, definitely, exercise training is a major thing we should focus on to change the aging process,â
For about 15 years, she didnât race or formally exercise much, until, at about age 45, with her children grown, she decided to start sprinting again.
The bulk of her workouts involve high-intensity interval training, meaning the exercise effort is draining, but the duration short. Her training sessions rarely last more than an hour, and she almost never goes for long runs or completes other sustained aerobic exercise. She does walk outside almost every day and occasionally performs light resistance exercise.
Her overall aerobic fitness resembled that of athletic women almost half her age, and her ability to take in oxygen and start passing it along to her muscles was even better, comparable to whatâs seen in active 30-year-olds.
Just as impressive, her musclesâ mitochondria â the tiny organelles inside cells that absorb oxygen and transform it into energy â were exceptionally robust, functioning like those of 20-year-olds.
NASA Rover Finds âComplex Organic Matterâ on Mars (source)
The scientists found that samples from the rocks that Perseverance originally found in 2024 contained macromolecular carbon (MMC), large networks of carbon atoms commonly found in Earth rocks containing fossilized biological carbon and meteorites.
Scientists were baffled how close to the surface â mere microns away â the MMCs were preserved, considering the extreme environment.
Parlons Passé
Le roi du Royaume-Uni Charles III descend directement de Guillaume le Conquérant, de Charlemagne et Clovis...
...mais aussi incroyable que cela puisse paraĂźtre, statistiquement, toute personne aujourdâhui qui a une ascendance europĂ©enne ou mĂ©diterranĂ©enne, descend de TOUS les ĂȘtres humains qui ont vĂ©cu jusquâen lâan 1000 environ et ont eu une descendance jusquâĂ ce jour. (source)
Donc toute personne aujourdâhui qui a une ascendance europĂ©enne descend aussi de Clovis, Charlemagne, etc.
Mais la probabilitĂ© que quelquâun au hasard en Europe en 1400 soit un de vos ancĂȘtres, si vous avez une ascendance europĂ©enne, tombe Ă quasi 0% (contre quasi 100% en lâan Mille donc !)
En deux mots, si vos ancĂȘtres Ă©taient tous distincts, vous en auriez une bonne dizaine de milliards en lâan mille, mais il nây avait que quelques dizaines de millions dâEuropĂ©ens, donc mathĂ©matiquement, TOUS ces anciens EuropĂ©ens, sâils ont eu une descendance Ă ce jour, ont 99,999999999999...% de chances de compter parmi vos ancĂȘtres !
Mais, contre-intuitif, ils nâont chacun quasi 0% de chances de vous avoir lĂ©guĂ© de lâADN, car lâADN se lĂšgue par blocs et on nâhĂ©rite que de la moitiĂ© de lâADN dâun de ses deux parents. La quasi totalitĂ© de nos ancĂȘtres ne nous ont laissĂ© aucune trace gĂ©nĂ©tique, dingue !
Il y a environ 900 000 ans, lâhumanitĂ© sâest retrouvĂ©e rĂ©duite Ă environ 1 280 individus reproducteurs (source)
Cette crise dĂ©mographique, qui a balayĂ© 98,7 % de la population humaine de lâĂ©poque, sâexplique principalement par des facteurs environnementaux catastrophiques
La majoritĂ© des palĂ©oanthropologues et des biologistes pensent aujourdâhui que si ces 1 000 individus avaient disparu, une intelligence de type humaine nâaurait probablement plus jamais Ă©mergĂ©, car
1. La niche de âlâhyper-intelligenceâ nâest pas obligatoire
2. Le rĂ©servoir dâhominidĂ©s Ă©tait vide (ou presque)
3. La contingence historique (lâeffet papillon) : Lâapparition de lâintelligence humaine nâest pas une ligne droite. Câest le rĂ©sultat dâaccidents de lâhistoire.
Si vous supprimez les 1 000 survivants, vous cassez la chaĂźne. Les autres hominidĂ©s restants nâavaient pas nĂ©cessairement les bases gĂ©nĂ©tiques ou les conditions environnementales pour prendre le mĂȘme chemin Ă©volutif. LâAfrique serait probablement restĂ©e un continent dominĂ© par de grands singes arboricoles ou des prĂ©dateurs classiques.
En résumé
Lâapparition dâune espĂšce capable de se poser des questions sur ses origines nâĂ©tait pas inscrite dans les gĂšnes de la Terre. Nous ne sommes pas le sommet inĂ©vitable de lâĂ©volution, mais les descendants des gagnants dâune loterie cosmique et climatique ultra-sĂ©lective.
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Could A.I. Find Brazilâs Next PelĂ©? (NYT)
Drones and AI-powered apps are used to monitor player performance during training sessions.
Their speed, control and footwork were all being carefully evaluated â but not by a veteran scout. Not even by a human being.
Instead, the Brazilian athletes were being assessed by a mobile app powered by artificial intelligence, part of a handful of new tools promising to revolutionize the way that talent is discovered in the soccer-mad nation.
now, powerful A.I. technology could identify emerging talent faster and better than the human eye alone. It also could reach more aspiring athletes across Brazilâs vast territory, giving even those in remote reaches of the country, where few scouts might venture, a chance to be spotted.
Most A.I. scouting platforms work by analyzing videos that users upload or drills they record directly into the apps. Weighing a vast array of abilities, from speed to ball control, they spit out a score and add athletes to a database. There, human agents seeking talent can find them, or the apps can pitch athletes directly to specific clubs.
On a battered phone, Mr. Barossi showed off his own metrics. He worried because he is shorter than many players his age, he said. But, after doing drills through the app every day, he had climbed into the top 30 nationwide in his age group. âIâm always kicking the ball around and recording it,â he said.
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đ Why lasers wonât be able to stop drones
đ Top 10 Emerging Technologies of 2026
đ AI Isnât Conscious. Hereâs why we arenât either
đ 2028: Two scenarios for global AI leadership (Anthropic)
đ What you need to know: Anthropic Urges Global Pause in AI Development, Flags âSelf-Improvementâ Risk
đ Les fourmis sont-elles douĂ©es de conscience ?
đ Why itâs impossible to predict which jobs AI will destroy
đ Why âCan a machine do this job?â is the wrong question
đ The revolution in AI reforestation that is underway
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Merci, et Ă bientĂŽt !
Thomas


