The future is arriving badly explained.
In brief.
Updated on · Four signals worth your attention.
A pill gave light-sensitive patients more pain-free time.
Disc Medicine reports that bitopertin gave patients with rare, painful light sensitivity 12.2 more pain-free hours in light than placebo during the sixth month of a randomized, blinded Phase 3 trial involving 183 people. The drug remains unapproved, and these are company-reported topline results. Dizziness affected half the treated group.
A robot fits parts without seeing them.
MIT researchers trained a robot in simulation to fit parts using only its joint movements, without cameras or touch sensors. On a real arm, it completed 173 of 237 insertions across eight peg shapes. The preprint demonstrates a close-range assembly skill: each attempt began with the part already touching the fixture near the opening.
MiniMax prices a million AI output tokens at 60 cents.
MiniMax released M3.1 Flash for coding and multi-step software tasks at $0.15 per million input tokens and $0.60 per million output tokens. Those rates matter for agents that repeatedly read files and call tools. The model is available through its API and coding tools; performance claims remain company-reported, and model weights are not yet released.
Quantinuum cuts quantum-memory errors to roughly five per million rounds.
Quantinuum used stronger error protection on its Helios processor to push stored-qubit errors down to an estimated five per million correction rounds. That is progress toward keeping quantum information intact through longer calculations. The estimate comes from 29,000 short trials; decoding happened afterward, and the experiment did not run a million-step, error-free algorithm.
Company announcements were published October 19. The robotics preprint was first announced by arXiv on October 19 after submission on October 16; experiments and the clinical trial took place earlier. Clinical, AI and quantum results are attributed to their developers.
In Charts.
135 Enzyme Designs Went to the Lab. 49 Cleared a Cutoff.
49 of 135 selected enzyme designs (36.3%) crossed the study's cutoff: more than 10% cleavage in a 12-hour laboratory screen. Another 78 were at or below it; four produced the wrong-size protein and four were insoluble. Those last eight are separate outcomes, not measured zeros.
The laboratory is a different filter
The researchers designed enzymes intended to cut a protein target. In this screen, the enzyme and its target were attached to each other. After 12 hours at 37°C, the team measured how much cutting had occurred, correcting for the background signal without zinc.
The chart follows all 135 designs selected and ordered for that laboratory screen. It does not show every candidate generated on a computer. Earlier computational filters had already removed designs, and the supplementary methods say the discarded sequences were not retained.
A cutoff is not a verdict on every design
A design below 10% is not necessarily inactive. The threshold separates measured amounts of cutting; it does not turn a continuous result into a universal pass or fail. Protein concentrations were not standardized across the screen.
The two design groups also went through different selection procedures. Their combined outcome is a useful account of this selected screen, not a general AI success rate, a controlled comparison of two methods or evidence of a medical treatment.
The useful question is not just how many promising designs emerged. It is what happened to the whole selected batch when it reached the laboratory.
Sources, Method & Data
Denominator: 135 selected and ordered designs in Supplementary Table S3. Of these, 127 have numerical cleavage measurements. The strict threshold is greater than 0.10, using unrounded original values. ZnO4 is printed as 0.10 in the supplementary table but recalculates to 0.1026764266, so it belongs above the cutoff. No clinical endpoint or free-substrate activity is shown.
| Screen outcome | Designs | Share of 135 |
|---|---|---|
| Above 10% cleavage | 49 | 36.3% |
| At or below 10% cleavage | 78 | 57.8% |
| Wrong-size protein | 4 | 3.0% |
| Insoluble protein | 4 | 3.0% |
Rounded percentages sum to 100.1%. Counts sum to 135. Original data: Chen et al., Zenodo record 22654831, CC BY 4.0. This is a new Vastkind visualization and recalculation, not a reproduction of a publisher figure. The software archive's MIT license is distinct from the dataset license.
Nature paper · Supplementary methods and Table S3. Public abstract, figure caption, complete supplementary methods and original numerical data checked; subscription main text not claimed as independently read.
A complete account of 135 selected designs: 49 above a cleavage threshold, 78 at or below it, and eight other protein outcomes.
Explore the chartEVs Took 0.67% of U.S. Electricity in Early 2026
The axis ends at 1%, not 100%. These national estimates cover light-duty battery-electric and plug-in-hybrid vehicles, not every electric vehicle or a local grid's peak load.
Twice the charging, a small slice of the total
Cars can draw more electricity without becoming a large part of the national power bill. EIA estimates that U.S. light-duty electric vehicles used 13.7 terawatt-hours in the first half of 2026, up from 5.9 TWh in the same months of 2023. Total U.S. electricity end use in the latest half-year was about 2,043.3 TWh. Divide the two and EVs account for 0.67%.
The comparison uses January through June in every year, rather than mixing winter and summer halves. It starts in 2023 because EIA changed how it estimates vehicle miles traveled that year; earlier observations are not strictly comparable.
The country is not one charging socket
A national energy total cannot show whether a neighborhood transformer can serve several new chargers, or whether charging coincides with a local evening peak. Terawatt-hours measure energy over a period; those constraints also depend on where electricity is drawn and how much power is needed at once.
The useful distinction is scale: EV charging grew rapidly from a small national base. That does not make every local connection easy, but it does keep a growing load from being mistaken for a dominant share of U.S. electricity use.
Sources, Method & Data
Calculation. We sum January–June monthly observations in EIA's September 2026 Table 7.6 and downloadable data. Share = estimated EV electricity use (series ESVHPUS) / total electricity end use (ELTCPUS) × 100. Both series are published in million kWh; 1,000 million kWh equals 1 TWh. Ratios use unrounded source values. Display rounding is not a measure of model certainty.
Coverage. The numerator estimates electricity used by on-road light-duty battery-electric and plug-in-hybrid vehicles up to 8,500 lb gross vehicle weight, including cars and light trucks. It is not a census of charger meters and excludes heavy trucks, buses, off-road vehicles and gasoline burned by plug-in hybrids. The geography is the 50 U.S. states and District of Columbia. EIA's estimation method combines vehicle stock, travel and energy-use assumptions.
Denominator and break. Electricity end use is retail sales plus direct use, not power-generation capacity, electricity generation or total primary energy. EV use is already part of that denominator and is not added again. This is not a claim to measure every behind-the-meter rooftop-solar kWh. EIA notes a vehicle-miles-traveled methodology change beginning in 2023, so no earlier-year growth comparison is drawn.
| Period | EV use | Total end use | EV share |
|---|---|---|---|
| Jan–Jun 2023 | 5.9 | 1,899.3 | 0.31% |
| Jan–Jun 2024 | 8.2 | 1,967.6 | 0.42% |
| Jan–Jun 2025 | 10.9 | 2,021.3 | 0.54% |
| Jan–Jun 2026 | 13.7 | 2,043.3 | 0.67% |
Source version and rights. New explanation of existing data, not an October demand reading. Latest observations: June 2026. EIA's public aggregate data are reused with attribution under its reuse policy. Original chart by Vastkind; no EIA logo or third-party microdata reproduced.
Estimated EV electricity use more than doubled between the first halves of 2023 and 2026. Its national share remained below 1%.
Explore the chartBattery Incidents Barely Fell. Capacity Almost Doubled.
These are report-snapshot values, not a complete count of every battery failure. Annual events divided by installed GWh are not an individual site's failure probability. The public CSV has 23 events for 2025, versus 24 in the report; the versions are not combined.
The denominator does most of the moving
For a community considering a large battery installation, a falling incident rate sounds reassuring. But the numerator matters too: did incidents become rare, or did the amount of installed storage grow much faster?
In EPRI's October 2026 report, the recorded annual count falls from 26 to 24, a decline of 7.7%. The published capacity figure rises from 343 to 634 gigawatt-hours, up 84.8%. Divide one by the other and the result falls from 7.58 to 3.79 incidents per 100 GWh, a 50.1% decline. The large change in that ratio is not a halving of the incident count.
A useful ratio is not a site-risk forecast
The report tracks major internal thermal incidents in stationary lithium-ion storage, including utility and commercial or industrial installations. It is not a census of every malfunction, electric-car battery or home battery. Reporting is incomplete, and each incident counts once regardless of its severity.
The denominator is stored-energy capacity, not electricity generated, power in gigawatts or operating years. Newly installed capacity can enter the annual stock without having operated for a full year. We also could not independently verify that the proprietary capacity series covers every installation type in the incident count.
The fair reading is narrower than “batteries are half as dangerous”: in this report, recorded incidents fell slightly while the installed capacity denominator rose sharply between these two years. A decision about one installation still depends on its design, operation and consequences of a failure.
Sources, Method & Data
Snapshot and calculation. Four aggregate values come from printed pages 6–7 of EPRI report 3002034920, dated October 2026. Its PDF was created on October 8; the exact first-publication day was not established. This chart is a new explanation of 2024–2025 data, not a new incident count for October 2026. Each ratio is annual recorded events / cumulative installed capacity in GWh × 100. Changes compare 2025 with 2024. Input capacities are already rounded; two decimal places on the ratio do not imply extra measurement precision.
Source versions do not fully reconcile. The public stationary-storage CSV retrieved on October 10 carried a September 29, 2026 Last-Modified header. It contains 26 events dated 2024 and 23 dated 2025, versus 26 and 24 in the newer report. Some regional and confidential-case totals also differ. A version difference is plausible, but no case-by-case revision history resolves it. We reproduce the report aggregates, not a reconstructed current global total; no cases have been invented or added to the CSV.
Coverage and denominator. EPRI includes major thermal events caused by internal battery-system failures and excludes external causes such as wildfires. Some cases are confidential. The report's source figure cites Benchmark Mineral Intelligence's BESS Forecast Q1 2026, China Energy Storage Alliance and Korea Electrical Safety Corporation. The underlying capacity records were not independently accessible. Matching of utility, commercial/industrial and UPS coverage between numerator and denominator remains unverified. This simple annual quotient is not exposure in GWh-years, an individual failure probability, a severity-adjusted measure or the report's separate age-based analysis.
| Year | Recorded incidents | Capacity (GWh) | Incidents per 100 GWh |
|---|---|---|---|
| 2024 | 26 | 343 | 7.58 |
| 2025 | 24 | 634 | 3.79 |
Graphic and rights. Own calculation and original graphic using four published aggregate facts; no EPRI figure or layout reproduced. EPRI's report is © 2026, all rights reserved, not an open-licensed dataset. The accessible CSV is linked for source-version checking, not substituted for the report.
EPRI's October report records 26 incidents in 2024 and 24 in 2025. A much larger capacity denominator roughly halves the ratio, not an individual battery's risk.
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